IEEM2010
7 to 10 December 2010, Macao

IEEM2010

The Venetian® Macao–Resort-Hotel

7 to 10 December 2010www.IEEM.org

The IEEE International Conference on
Industrial Engineering and Engineering Management

The IEEE International Conference on

Industrial Engineering and Engineering Management

www.IEEM.org

Sponsors and partners:

www.IEEM.org

Secretariat:

Organized by:IEEE Technology Management Council
Singapore Chapter

IEEE Singapore Section

University of Macau

University of Macau

http://www.umac.mo(New campus in Hengqin Island will be completed in 2013)

The University of Macau (UM) was founded in 1981 as a private
institution by the name of University of East Asia. Through overtwo decades’ development, it has become a leading university
in Macao. UM offers around 100 bachelor’s, master’s and PhD
programs with English being the main medium of instruction throughvarious academic units and currently has over 6,900 students
and over 400 teaching staff. The start of construction of the newcampus signaled a new era in the development of Macao’s higher
education and presented UM with unprecedented development
opportunities. Covering an area of around 1 km2, the new campus
will be nearly 20 times larger than the existing campus and will
be able to accommodate approximately 10,000 students. The“residential college system” adopted by some of the world’s top
universities will be introduced in the new campus to complement
the faculty system, which will constitute one of the highlights of the
new campus.
Approximately eight faculties, including Faculty of Arts, Faculty ofSocial Sciences, Faculty of Science and Technology, Faculty ofBusiness Administration, Faculty of Law, Faculty of Education, andFaculty of Life Science and Health, will be established, in order
to offer more choices for local secondary school graduates andto nurture professionals in various fields to meet the needs of themoderate industrial diversification of Macao. For instance, theestablishment of the logistics and service management programis in the preparation in order to develop the logistics industry in
Macau and Pearl River Delta Area.

Faculty of Business Administration: Finance,
Accounting, E-Business, Global Business, Management
and Marketing, Commercial Gaming Management,
Logistics and Service Management (to be developed)
Faculty of Education: Information and Communication
Technology in Education, Educational Research on WellRounded Growth and Development, Educational Testingand Assessment
Faculty of Science and Technology: Computer andInformation, Engineering Civil and Environmental,
Engineering Electrical and Electronics, ElectromechanicalFaculty of Social Sciences and Humanities:
History, Psychology, Sociology, Portuguese,Chinese, English, Communication, Economics,
Government and Public Administration
Faculty of Law: European Union Law, International
Law and Comparative Law, International
Business Law
Faculty of Life Science and Healthy (to be developed)

Deadline for Submission: 1 June 2011

IEEM2011

6 to 9 December 2011, Singapore
Furama RiverFront Hotelwww.IEEM.org

The Ieee International Conference on

Industrial Engineering andEngineering Management
Deadline for Submission: 1 June 2011

INDUSTRIAL AND SYSTEMS ENGINEERING AT
THE NATIONAL UNIVERSITY OF SINGAPOREBUILT upon a collection of methodological tools brought together to effect an integrated or total approach toproblem-solving in engineering, with productivity and quality improvement as its overall objectives.

KNOWLEDGE domain covers broad areas including engineering, mathematics, statistics, computing, social
science, and management. The ISE discipline brings a holistic perspective to problem solving within a systems
context.
http://www.ise.nus.edu.sg

Focus of the Department:

Manufacturing and engineering industries
Logistics industry
Defence industry
Service industry

Research trusts of the Department:
Logistics and Supply Chain Management
Quality Engineering
Service and Innovation Management
Systems Modeling and Optimization

Programs of the Department:

Bachelor of Engineering (Industrial and Systems Engineering)
Bachelor of Technology (Industrial and Management Engineering)
Master of Science (Industrial and Systems Engineering)
Master of Engineering and Doctor of Philosophy

The Industrial and Systems Engineering Department at the National University of Singapore has come a long way since its formationin 1972. Today, we are a comprehensive department offering the BEng, BTech, MSc, MEng, and PhD degree programs. As the only
ISE department in Singapore, we offer a rigorous and yet flexible curriculum full of exciting possibilities ranging from industry-inspired
design projects to overseas attachments. In the coming years, ISE will actively recruit, develop and retain talent with the passion to bringout a new breed of engineers who possess the analytical skills to deal with problems holistically. Together, we reinforce NUS’ leadershipin quality education and research, and develop international visibility.

Contents

6

Welcome Message

8

Organizers & Committees

10

Session Information
•
•
•
•
•
•

Meeting Rooms (Floor Plan)
Program Overview
Conference Highlights
Keynote Presentations
Meet-the-Editor Panel
Session Schedules

46

Abstracts

127

Author Index

133

Services•
Internet Stations•
Useful Telephone Numbers•
What to do & where to go in Macau

Gongbei
BorderGate
Ferry
Terminal

Macao
Ponte de Amizade
Friendship Bridge

Taipa
Ferry
Terminal

Taipa

Lotus
BridgeMacau
International
AirportConference Venue
COTAI STRIP®

ColoaneThe Venetian® Macao-Resort-Hotel
Estrada da Baía de N. Senhora da Esperança,s/n, Taipa, Macao SAR, P.R. China
Tel:  
+853 2882 8888
Email:
inquiries@venetian.com.mo
Website:http://www.venetianmacao.com

Welcome Message
by Conference Chairs

Wei Zhao,

General Chair,
President of University of Macau,
Macau

Min Xie,

Roger Jiao,

Zhaotong Lian,

Zhang Wu,

Organizing Chair,
Department of Industrial and Systems Engineering,
National University of Singapore,
Singapore

Program Chair,
Faculty of Business Administration,
University of Macau,
Macau

6

Oranizing Chair,
School of Mechanical Engineering,
Georgia Institute of Technology,
USA

Program Chair,
Department of Systems & Engineering Management,
Nanyang Technological University,
SingaporeWelcome Message
by Conference ChairsIt is our great pleasure to welcome you to the 2010 IEEE International Conferenceon Industrial Engineering and Engineering Management held here in Macau.
This series of conference, started by the Singapore Chapter of IEEE Technology
Management Council (formerly known as Engineering Management Society)has been successfully held in Singapore (2007 and 2008) and in Hong Kong
(2009). It was decided to hold this conference in Macau because of the strong interestof this event in this region.
This year, the conference attracted close to 1200 submissions. As in the past, each paper was sent to 3-4
reviewers, comprising the technical program committee members and some author-reviewers. About
500 papers are included in the proceedings. The rigorous review process has helped to maintain a highstandard of this conference.
We would like to thank all the authors for their contribution and all the technical program committee
members and other reviewers for their help in the review process.
IEEM2010 is truly an international event with about 50 countries/regions represented. We have close
to 100 parallel sessions at this conference covering all topics related to industrial engineering andmanagement. In addition, we also have three prominent keynote speakers. Detailed information canbe found in this program book.
We hope that all participants find time to discuss about the research beyond the usual attendance of thesessions, and make more friends internationally. And we wish you to have a pleasant stay in Macau.

Wei Zhao
General Chair, University of Macau
Min Xie
Organizing Committee Chair, National University of Singapore
Roger Jiao
Organizing Committee Chair, Georgia Institute of Technology
Zhaotong Lian
Program Committee Chair, University of Macau
Zhang Wu
Program Committee Chair, Nanyang Technological University

7

Organizers & Committees
General Chair

Wei Zhao,President of University of Macau,
Macau
Organizing Chair

Min Xie,
National University of Singapore,
Singapore
Roger Jiao,
Georgia Institute of Technology,
USA
Program Chairs

Zhaotong Lian,
University of Macau, Macau
Zhang Wu,
Nanyang Technological University,
Singapore

Organizing Committee

Anil Varma (Finance),
Singapore Polytechnic, Singapore
Kah Hin Chai (Logistics),
National University of Singapore, Singapore
Carman Lee (Publicity),
Nanyang Technological University, Singapore
Szu Hui Ng (Publication),
National University of Singapore, Singapore
Lianjie Shu (Local Arrangement),
University of Macau, Macau
Songlin Chen,
Nanyang Technological University,Singapore
Hongyi Sun,
City University of Hong Kong, Hong Kong
Xiaoming Liu,
University of Macau, Macau
Zhixin Yang,
University of Macau, Macau
Alfred Wong,
University of Macau, Macau
Advisory Committee
Way Kuo (Chair),City University of Hong Kong, Hong Kong
Daniel Berg,
Rensselaer Polytechnic Institute,
United States

8

Mike Gregory,Cambridge University, United Kingdom

Su-Chang Chen,
National Penghu University, Taiwan

Robert W. Grubbström,
Linköping Institute of Technology, Sweden

Hui-Ping Cheng,
Ming-Dao University, Taiwan

Martin Helander,
Nanyang Technological University, Singapore

Kwai-Sang Chin,
City University of Hong Kong, Hong Kong

Larry Y.C. Ho,
Harvard University, United States andTsinghua University, China

Chuang-Chun Chiou,
Dayeh University, Taiwan

Tinus Pretorius,
University of Pretoria, South Africa
Ralf Reichwald,
Technical University of Munich, Germany
Gavriel Salvendy,
Purdue University, USA
and Tsinghua University, China
Mitchell M. Tseng,Hong Kong University of Science andTechnology, Hong Kong
Ue-Pyng Wen,
National Tsing Hua University, Taiwan

Technical Program Committee
Dotun Adebanjo,
University of Liverpool,
United Kingdom
Gajendra Adil,
IIT Bombay, India
Michel Aldanondo,
University of Toulouse - Mines Albi, France
Christian Almeder,
University of Vienna, Austria
Teresa Alvarez,
University of Valladolid, Spain
Chris Backhouse,
Loughborough University, United Kingdom
Ana Paula Barroso,
UNIDEMI, FCT-UNL, Portugal

Tsan-Ming Choi,
The Hong Kong Polytechnic University,
Hong Kong
Jui-Sheng Chou,
National Taiwan University of Science andTechnology, Taiwan
William Chung,City University of Hong Kong, Hong Kong
Virgilio Cruz-Machado,
UNIDEMI, FCT-UNL, Portugal
Deepak Dahiya,
Jaypee University of Information Technology,
India
Yves De Smet,
Universit Libre de Bruxelles, Belgium
Vassilis Dedoussis,
University of Piraeus, Greece
Vahid Ebrahimipour,
University of Tehran, Iran
Liang Gao,
Huazhong University of Science andTechnology, China
Laurent Geneste,
Univ Toulouse ENIT-LGP, France
Amnon Gonen,
Holon Institute of Technology, Israel
Antonio Grilo,
Universide Nova de Lisboa, Portugal

Arijit Bhattacharya,
the Patent Office, India

Jiajun Gu,
Huazhong University of Science andTechnology, China

Jesus Miguel Chacon,
University of Castilla-La Mancha, Spain

Murat Gulbay,
University of Gaziantep, Turkey

Jean-Jacques Chanaron,
Grenoble Ecole de Management,France

G. Gunawan,
University of Surabaya, Indonesia

Wanpracha Chaovalitwongse,
Rutgers University, United States

Ma.Teodora Gutierrez,
Technological Institute of the Philippines,
Philippines

Cheng-Wu Chen,
Shu Te University, Taiwan

Boaz Golany,Technion, Israel

Hung-Yi Chen,
Chaoyang University of Technology, Taiwan

Thong Ngee Goh,
National University of Singapore, Singapore

Mu-Chen Chen,
National Chiao Tung University, Taiwan

M. Salahuddin Habibullah,
Institute of High Performance Computing,Singapore
Assed Haddad,
Federal University of Rio de Janeiro, Brazil

Organizers & Committees
Axel Hahn,
University of Oldenburg, Germany

Zahra Mohaghegh,
University of Maryland, United States

Norbert Trautmann,
University of Bern, SwitzerladSiana Halim,Petra Christian University, Indonesia

Susan Morton,
Loughborough University, United Kingdom

Paolo Trucco,
Politecnico Di Milano, Italy

Poul Kyvsgaard Hansen,
Aalborg University, Denmark

Mohamed k. Omar,
University Technical Melaka, Malaysia

Wen-Hsien Tsai,National Central University, Taiwan

Qingpei Hu,
Chinese Academy of Science, China

Aditya Parida,Luleå University of Technology, Sweden

Ming-Lang Tseng,
MingDao University, Taiwan

Boray Huang,
National University of Singapore, Singapore

Jennifer Percival,
University of Ontario Institute of Technology,
CanadaYuan-Jye Tseng,Yuan Ze University, Taiwan

Shinji Inoue,
Tottori University, Japan
Myong K. Jeong,
Rutgers, the State University of New Jersey,
United States
Mingzhou Jin,
Mississippi State University, United States
Michael Johnson,
Texas A&M University, United States
Voratas Kachitvichyanukul,
Asian Institute of Technology, Thailand
Timo Knuutila,
University of Turku, Finland
C.K. Kwong,
The Hong Kong Polytechnic University, China

Alan Pilkington,
Royal Holloway, University of London,
United Kingdom
Kit Fai Pun,
University of the West Indies,
Trinidad and Tobago
Jerzy Stefan Respondek,
Silesian University of Technology, PolandPeter Robertson,
EzyFlow Logistics Pty Ltd, Australia
Antonio S. C. Fernandes,
CEG-IST - UTL, Portugal
Ilias Santouridis,
TEI of Larissa, Greece

Tritos Laosirihongthong,Thammasat University, Thailand

Kiyoshi Sawada,
University of Marketing and Distribution
Sciences, Japan

Jun-Der Leu,
National Central University, Taiwan

Kecheng Shen,
University of Western Australia, Australia

Zhizhong Li,
Tsinghua University, China

Yongjiang Shi,
University of Cambridge, United Kingdom

Thunshun Liao,Louisiana State University, United States

Naoki Shibata,
University of Tokyo, Japan

Huitian Lu,
South Dakota State University,
United States

Ali Siadat,
Arts et Métiers ParisTech-LGIPM, France

Yong-Zai Lu,
Zhejiang University, China
Virgínia Machado,
UNIDEMI, FCT-UNL, Portugal
Rammohan Maikala,
Liberty Mutual Research Institute for Safety,
United States
Viliam Makis,
University of Toronto, Canada
Henrique Matos,
Technical University of Lisbon, Portugal

Raj Siriram,
Dimension Data MEA, South Africa
Harm-Jan Steenhuis,
Eastern Washington University,
United States
Syafiie Syafiie,
University Putra Malaysia, Malaysia
Kay Chuan Tan,National University of Singapore, Singapore
Tommi Tervonen,
University of Groningen, Netherlands

Harekrishna Misra,
Institute of Rural Management Anand, India

Purit Thanakijkasem,
King Mongkut’s University of Technology
Thonburi, Thailand

Lars Moench,
University of Hagen, Germany

Ramayah Thurasamy,
Universiti Sains Malaysia, Malaysia

Enrico Vezzetti,
Politecnico di Torino, Italy
Shengyong Wang,
State University of New York, Binghamton,
United States
Yonggui Wang,
University of International Business andEconomics, China
Junzo Watada,
Waseda University, Japan
Richard Yam,
City University of Hong Kong, Hong Kong
Shigeru Yamada,
Tottori University, JapanQZ Yang,
Singapore Institute of Manufacturing
Technology, Singapore
Shuya Yin,
University of California-Irvine,
United States
Chui Young Yoon,
Chungbuk National University,
South Korea
Linda Zhang,
University of Groningen, Netherlands
Huiming Zhu,
Hunan University, China
Ahmed Zobaa,
University of Exeter, United Kingdom

Sponsor, Co-sponsor andCo-organizer

IEEE Technology Management
Council Singapore Chapter
IEEE Singapore Section
National University of Singapore
Nanyang Technological University
University of Macau
City University of Hong Kong
Hong Kong University of Science andTechnology

9Meeting Rooms - Floor Plan

2706
2705
2704
2703
2702
2701

N
A
P
L
E
S

2606

2506

2605

2505

2604

2504

2603

2503

2602

2502

2601

2501

S
I
C
I
L
Y

2406
2405
2404
2403
2402
2401

REGISTRATIONHOTEL LOBBIESTOLOWER GROUNDTOLEVEL 3

Opening & Keynote Presentations
Break-out Rooms
Lunch Buffet & Conference Banquet
Poster Sessions & Internet Stations
10

Program Overview

Meeting Rooms and Sessions

Day 0
7 Dec 10 Tue

Time & Date
12:00

SICILY Foyer – Registration Desk Opens p. 12

13:00

Pre-Conference Tour – Half Day Macau City Tour p. 12

16:00-18:00

SICILY 2403 - 2505 – Welcome Reception p. 12
NAPLES2703

Day 1
8 Dec 10 Wed

13:30-15:00

NAPLES
2701

NAPLES
2601

SICILY
2502

SICILY
2402

Technology
Supply Chain& Knowledge Management
Management (1)
(1)
p. 19
p. 20

Decision
Analysis &Methods (2)p. 18

Technology
Supply Chain Information
Service& Knowledge Management Processing & Innovation &Management (2)Engineering Management
(2)
p. 19
(1)
p. 20
(1)
p. 21
p. 22

Human
Factors (1)p. 23

Manufacturing
Systems (2)p. 24

Decision
Analysis &Methods (3)p. 18

Technology
Supply Chain Information
Service& Knowledge Management Processing & Innovation &Management (3)(3)
Engineering Management
p. 20
(2)
(2)
p. 19
p. 21
p. 22

Human
Factors (2)p. 23

Reliability & E-business &Maintenance
E-CommerceEngineering (1)
p. 25
p. 24

Production
Planning &Control (1)p. 21

Operations Quality Control Manufacturing
Research (1) & Management Systems (1)
p. 22
(1)
p. 24
p. 23

SICILY
2501

Project
Management
(1)
p. 25

SICILY 2403 - 2506 - Lunch Buffet
Engineering
Education &Training
p. 25

PosterSession 1
p. 26 & 27

NAPLES 2604 - 2706 – Keynote Presentation III & Meet-the-Editor Panel p. 15 & 17

9:00-10:30

11:00-12:30

NAPLES
2602

Decision
Analysis &Methods (1)p. 18

12:30-13:30

15:30-17:15

Day 2
9 Dec 10 Thu

NAPLES
2702

NAPLES 2604 - 2706 – Opening, Keynote Presentations I & II p. 13 & 14

9:00-10:30

11:00-12:30

NAPLES
2603

Decision
Analysis &Methods (4)p. 28

Technology
Supply Chain Production
Service& Knowledge Management Planning & Innovation &Management (4)(4)
Control (2) Management
p. 30
(3)
p. 29
p. 31
p. 32

Human
Factors (3)p. 33

Safety, Security
Project& RiskManagement
Management (1)
(2)
p. 34
p. 35

SICILY 2403 - 2506 – Lunch Buffet

12:30-13:30

13:30-15:00

Decision
Analysis &Methods (5)p. 28

Technology
Supply Chain Production& Knowledge Management Planning &Management (5)(5)
Control (3)
p. 29
p. 30
p. 31

Systems
Operations Quality Control Safety, Security
Modeling && RiskResearch (2) & Management(2)
Management (2) Simulation (1)
p. 32
p. 35
p. 33
p. 34

15:30-17:15

Decision
Analysis &Methods (6)p. 28

Technology
Supply Chain& Knowledge Management
Management (6)
(6)
p. 29
p. 30

Operations Quality Control Safety, Security
Systems
Research (3) & Management& RiskModeling &
p. 32
(3)
Management (3) Simulation (2)
p. 33
p. 34
p. 35

Production
Planning &Control (4)p. 31

PosterSession 2
p. 36 & 37

SICILY 2403 - 2506 – Conference Banquet p. 12
Decision
Analysis &Methods (7)p. 38Intelligent
Systems (1)p. 38Technology& Knowledge
11:00-12:30 Management
(7)
p. 38

Intelligent
Systems (2)
p. 39

Day 3
10 Dec 10 Fri

9:00-10:30

Engineering
Economy &Cost Analysis
(1)
p. 39

Production
Service
Quality Control Reliability &GlobalPlanning & Innovation & & Management Maintenance Manufacturing
Control (5) Management(4)
Engineering (2) & Management
p. 40
(4)
p. 41
p. 42
(1)
p. 40
p. 42

Engineering
Systems
Operations Eco-system and Reliability &GlobalEconomy & Modeling & Research (4) New Business
Maintenance Manufacturing
Cost Analysis Simulation (3)ModelEngineering (3) & Management
p. 41
(2)
p. 42
(2)
p. 40
p. 41
p. 39
p. 43

12:30-13:30

SICILY 2403 - 2506 – Farewell Lunch

From 13:30

Post-Conference Visit – University of Macau p. 12

PosterSession 3
p. 44 & 45

11

Conference Highlights

7 Dec – Tue: Delegate Arrival, Registration, Welcome Reception & Guided Tours
12.00 pm
12.45 pm
4.00 to 6.00 pm

Registration Desk Opens
Pre-Conference Tour
Registration & Welcome Reception

Pre-Conference Tour
(Please present ticket before you board the coach)Half Day Macau City Tour

Level 1 SICILY Foyer
Meet at SICILY Foyer
Level 1 SICILY 2403 - 2505

Coach Departs Hotel 1.00 pm andReturns 5.00 pm

8 Dec – Wed to 10 Dec – Fri
Poster Sessions, Daily Coffee/Tea & Lunch
10.30 to 11.00 – AM Break
10.30 to 11.00 – AM Poster
12.30 to 1.30 pm

3.00 to 3.30 – PM Break
3.00 to 3.30 – PM Poster
Lunch Buffet

Level 1 NAPLES  Foyer
Level 1 SICILY 2501
Level 1 SICILY 2403 - 2506

8 Dec – Wed: Opening, Keynote Presentations & Concurrent Sessions
8.00 to 8.45 am
8.45 am
9.00 to 9.50 am
9.50 to 10.30 am

Registration Desk Opens
Guests & Delegates to be seatedOpening & Keynote I  p. 13
Keynote II  p. 14

Level 1 SICILY Foyer
Level 1 NAPLES 2604 - 2706
Level 1 NAPLES 2604 - 2706
Level 1 NAPLES 2604 - 2706

9 Dec – Thu: Keynote Presentations & Concurrent Sessions
8.00 to 8.45 am
8.45 am
9.00 to 9.45 am
9.45 to 10.30 am

Registration Desk Opens
Guests & Delegates to be seated
Keynote III  p. 15
Meet-the-Editor Panel  p. 17

IEEM2010 Conference Banquet(Please present dinner ticket upon entrance)
Function starts 6.00 pm                                                                            Level 1 SICILY Foyer
Level 1 NAPLES 2604 - 2706
Level 1 NAPLES 2604 - 2706
Level 1 NAPLES 2604 - 2706

Level 1 SICILY 2403 - 2506

10 Dec – Fri: Concurrent Sessions
8.30 to 11.30 am
2.30 pm

Registration Desk Opens
Post-Conference Visit

Post-Conference Visit(Please present ticket before you board the coach)
Visit University of Macau

12

Level 1 SICILY Foyer
Meet at SICILY Foyer

Coach Departs Hotel 1.30 pm

Keynote Presentation

Wed – 8 Dec, 9.10 to 9.50am

SYSTEM IDENTIFICATION:
THE PATH FROM DATA TO MODEL
Lennart Ljung

Div. of Automatic Control
Dep. of Electrical Engineering Linköpings Universitet
SwedenAbstract

System identification is the art and science of building mathematical models of dynamic systems from observed input-output
data. It can be seen as the interface between the real world of applications and the mathematical world of control theory andmodel abstractions. As such it is a ubiquitous necessity for successful applications.
The area has many facets and there are many approaches and methods. The presentation aims at both giving an overview
of the “science” side, i.e. basic principles and result and at illustrating the practical, “art”, side of how to approach a real
problem.
System identification is a very large topic, with different techniques that depend on the character of the models to be estimated,linear, non-linear, hybrid, nonparametric etc. At the same time, the area can be characterized by a small number of leading
principles, e.g. to look for sustainable descriptions by proper trade-offs in the triangle of model complexity, information
contents in the data, and effective validation.
The fundamental character of this tool of linking real observations to mathematical abstractions means the field is vital to manydifferent application areas. This also has the consequence that different perspectives and nomenclatures for the tools havedeveloped. System Identification is the perspective taken by the Automatic Control community. The underlying principles
are of course the topic of Statistical Theory. A Computer Science view is to talk about Learning and Autonomy and in Signal
Processing, Sensor and Information Fusion are related terms. Special model structures, such as Neural Networks, econometricmodels, or parameterized differential and differential algebraic equations have lead to separate research communities withperspectives of their own.
Attempts will be made in the talk to unify these different perspectives.

About the Keynote Speaker

Lennart Ljung received his PhD in Automatic Control from Lund Institute of Technology in 1974. Since 1976 he is Professor of
the chair of Automatic Control In Linkoping, Sweden, and is currently Director of the Strategic Research Center “Modeling,
Visualization and Information Integration” (MOVIII).  He has held visiting positions at Stanford and MIT and has written
several books on System Identification and Estimation. He is an IEEE Fellow, an IFAC Fellow and an IFAC Advisor as well as amember of the Royal Swedish Academy of Sciences (KVA), a member of the Royal Swedish Academy of Engineering Sciences(IVA), an Honorary Member of the Hungarian Academy of Engineering and a Foreign Associate of the US National Academyof Engineering (NAE). He has received honorary doctorates from the Baltic State Technical University in St Petersburg,from Uppsala University, Sweden, from the Technical University of Troyes, France, from the Catholic University of Leuven,
Belgium and from Helsinki University of Technology, Finland. In 2002 he received the Quazza Medal from IFAC, and in 2003
he received the Hendrik W. Bode Lecture Prize from the IEEE Control Systems Society, and he was the recipient of the IEEE
Control Systems Award for 2007.

13

Keynote Presentation

Wed – 8 Dec, 9.50 to 10.30am

QUALITY MANAGEMENT:FROM DELUSION TO REALITY
Thong Ngee Goh

Industrial and Systems Engineering Department
National University of Singapore
Singapore

Abstract

Quality Management in recent years appears to be crowded with various means rather than ends.   Witness the myriad
certification programs on offer in the market, for either individuals or organizations, and pronouncements such as “Do Things
Right the First Time”, “Work Smarter, not Harder”, etc. on company websites, management speeches, lobby posters and such
like.  The serious question every Industrial Engineer or Engineering Manager ought to ask is: Does Quality improves as a resultof certifications, slogans, pep talks and will power? If yes, are these necessary and sufficient?  If no, what more or what else isavailable or should be done? These are veritable issues of vital interest to all who are concerned with quality management, as
an organization stands and falls, ultimately, on the quality of products or services coming from it.

About the Keynote Speaker

Prof T N Goh is the Founding President of the Institute of Industrial Engineers Singapore, and formerly Vice President andHonorary Secretary of the Operational Research Society of Singapore, and President of the Singapore Institute of Statistics.  
He obtained his BE from the University of Saskatchewan, Canada and PhD from the University of Wisconsin-Madison.  Heis also Academician, International Academy for Quality (IAQ), Fellow, American Society for Quality (ASQ), and Honorary
Member, Singapore Quality Institute. He is the recipient of the 2005 IEEE Engineering Management Society “Educator of theYear” Award, the 2007 ASQ William G Hunter Award, the 2007 IAQ Masing Book Medal (for the book:  Six Sigma: Advanced
Tools for Black Belts and Master Black Belts, Wiley, 2006), and the 2010 Harrington-Ishikawa Medal. Prof Goh has authored or
co-authored more than three hundred research papers and four advanced books on Quality.

14

Keynote Presentation

Thu – 9 Dec, 9.00 to 9.45am

ENGINEERS AND SCIENTISTS:
PROPELLERS OF TECHNOLOGICALINNOVATION FOR COMPETITIVE ADVANTAGE
Michael K. Badawy,

Professor of Management of Technology and Strategic Management
Editor-in-Chief, Journal of Engineering and Technology Management
Virginia Tech University
USA

Abstract

Whether a country can move forward or fall behind in the world order is decided by many factors led by its ability to educate,produce, and utilize engineers and scientists. Science, technology, and innovation are the propellers of our infinitely evolving
world. The past decade witnessed unprecedented global economic changes brought about by the power of a steady streamof emerging technologies. New technology becomes obsolete at a much faster rate; and disruptive innovation has become thecurrency of the day. Risk-averse organizations have little chance to make it big in the market place. Critical success factors
necessary for an organization to thrive are primarily dependent on their ability to create and deliver technologies. Creating
new technology is the driver of the strategic entry and positioning in global markets. In order to compete effectively, companies
must leverage their existing infrastructure knowledge assets, stimulate innovation, and align their dynamic capabilities
processes.  There is a need for corporations to understand the complexity of the strategic integration of information technology
capabilities, knowledge management programs, along with inventive corporate initiatives for enhancing value creation andimproving their competitive advantage.  
The presentation will explore these issues, outline linkages, and propose action strategies.

About the Keynote Speaker

Dr. Michael Badawy mbadawy@vt.edu is a corporate management expert, global professor of Management of Technology andStrategic Management at Virginia Tech, the United States. He received his doctorate with honors from New York University
Stern Graduate School of Business. He is Editor-in-Chief, Journal of Engineering and Technology Management.
Professor Badawy is a leading authority on engineering management, management of technological innovation, technologicalentrepreneurship, new product development, R&D management, and the strategic management of technology.  His record
includes over 250-articles in scholarly and professional journals, 28-authored or edited books. Many of his seminal publications
were translated to Japanese, Spanish, Korean, and Chinese. This includes his book Developing Managerial Skills in Engineers
and Scientists Wiley, 2nd edition, which was selected by the IEEE for the Engineering Certification examination.
His Pioneering work and institutional building include: spearheading the founding of the first Technology and Innovation
Management Assembly in the world, The Academy of Management; the Founding Editor-in-Chief of the first Journal on
Engineering and Technology Management, JET-M- Elsevier, One of the original Five Nucleus Founders of the International
Association for Management of Technology “IAMOT”, and the Founding Editor-in-Chief of two book series on Managementof Technology.  He is frequently invited by universities and foreign governments to help direct the creation and developmentof educational programs, and to deliver lectures to faculty and students.   He is the recipient of numerous international andnational leadership, honors, and distinguished service awards for his pioneering institutional building and ground-breaking
work.

15

Keynote Presentation

As a corporate management expert, Dr. Badawy is capable of combining cutting-edge research, proven methods, andtransforming them into practical, actionable, and results-oriented mechanisms for optimizing client’s competitive advantage.
Michael leads corporate training, global education, and consults in the U.S. and abroad. His clients include corporations,
government agencies, and universities in the United States, Canada, Europe, Japan, Korea, Singapore, Thailand, Malaysia,
Australia, and China.
In his client-focused approach, Michael utilizes state of the art knowledge along with breadth and depth of skills. As hands
on strategic results-oriented practitioner; he is sought by, and worked with Fortune 500 companies’ executives, managers,
and corporate leaders. For more than two and half decades, he helped them: a- identify and develop organizational andmanagerial competencies; b- understand and manage technology for enhancing corporate competitive advantage; c- manage
and utilize technical professionals as a most valuable intellectual capital; d- transfer expert knowledge essential for corporate
profitability in fast changing global markets in our borderless world.
His list of clients includes IBM, Hewlett-Packard, 3M, Proctor & Gamble, Bell Laboratories, General Electric, TRW, United
Technology, B.F. Goodrich, Deluew Cather, Dynamic Research Corporation, Solarex, South-West Research Institute, Diamond
Shamrock Corporation, Gould, SCM, Ciba-Geigy, AT&T, Schlumberger, Dupont, Philips, Siemens, Lockheed Martin, Sakstel,Toshiba, and other medium and smaller- size corporations; National Science Foundation, U.S. Department of Commerce,
NASA, Office of Management and Budget, Naval Surface Warfare Center, Indian Head Naval command, The United Nations,
The World Bank, Organization for Economic Cooperation for Development(OECD), and the UNESCO.
Dr. Badawy’s work has been featured in the New York Times, The Wall Street journal, The Chicago Tribune, Best of Businessmagazine, Forbes, Engineering Times, the Journal of Japan’s Union of Scientists and Engineers (JUSE-Tokyo), The Bangkok
Post, The Straits Times, The Madrid Daily Times Dispatch, The south China Morning Post, The Korea Times, Inside R&D, and
the American Society for Training and Development (ASTD) publications.

16

Meet-the-Editor Panel
Thu-9 Dec, 9.45 to 10.30am
Rui Paulo da Silva Martins

Professor in Electrical and Electronics Engineering, University of Macau, China
Vice-Rector (Research)

Michael K. Badawy

Professor of Management of Technology and Strategic Management, Virginia Tech University, USA
Michael K. Badawy is currently Editor-in-Chief, Journal of Engineering and Technology Management.

Chung-Yee Lee

Chair Professor of the Industrial Engineering and Logistics Management Department at the Hong Kong University of Science &Technology, Hong Kong
Chung-Yee Lee served as the Editor for IIE Transactions on Scheduling and Logistics and currently he serves as associate editor ofOperations Research, Journal of Scheduling, Naval Research Logistics, and Production and Operations Management among others.

Yangming Li

Professor of Department of Electromechanical Engineering, University of Macau, Macau
Prof. Yangming Li is a Technical Editor of IEEE/ASME Transactions on Mechatronics, Associate Editor of IEEE Transactions on
Automation Science Engineering, Editor of Chinese Journal of Mechanical Engineering and serves on the editorial board of a numberof other international journals.

Stephen T Newman

Professor of Innovative Manufacturing Technology, University of Bath, UK
Editor-in-Chief of the International Journal of Computer Integrated Manufacturing

17

Session Schedules
Decision Analysis & Methods (1)Decision Analysis & Methods (2)Decision Analysis & Methods (3)8/12/2010 11:00 - 12:30
Room: NAPLES 2703

8/12/2010 13:30 - 15:00
Room: NAPLES 2703

8/12/2010 15:30 - 17:15
Room: NAPLES 2703

Chairs:Chairs:Chairs:Krzysztof Ostaszewski
Mubarak Almutairi

Abstracts: see page 46
Pricing Insurance Contracts andDetermining Optimal Capital of
Insurers

Mubarak Almutairi1
1
Hafr Albatin Community College, Saudi
Arabia

An Integrated Fuzzy
Multi-criteria Decision Making
Approach for Realizing thePractice of Quality Function
Deployment

Chih-Hsuan Wang1
1
National Chiao Tung University, Taiwan



Diversity of Feature Selection
Approaches Combined with
Distinct ClassifiersFeng-Chia Li1, Peng-Kai Wang2, Cho
Hua Yeh3
1
Jen Teh Junior College, Taiwan
2
Hwa Hsia College, Taiwan
3
Tsing Hwa University, Taiwan







A Decision Making Method for
Selection of Finish Process for a
Cylindrical Surface

A Decision Analysis on the
Optimal Timing Under theUncertain Cost of Urban Logistics





2

The Decision Analysis of Market
Entry with Game Options
Concept

Using Multiple Criteria Decision
Analysis for Supporting
Decisions of Business Process
Management

Ana Carolina Campos1, Adiel Almeida1
1Federal University of Pernambuco, BrazilAdvanced Sales and Operations
Planning Based on Integration of
Physical and Financial Flows
Jun-Zhong Wang1, Ping-Yu Hsu1
1
National Central University, Taiwan

Tyrone T. Lin1, Chia-Fang Wu1
1
National Dong Hwa University, Taiwan



Analysis of Competitive
Advantages - Approach ofTransnational Interregional I-O
Table

Mei-Chen Lo1, Toshimasa Osaki2,
Martin Drozda3, Gwo-Hshiung Tzeng4
1
National United University, Taiwan
2
Nagoyagakuin University, Japan3
Leibniz University of Hannover, Germany
4
National Chiao Tung University, Taiwan

Tyrone T. Lin , Chun-Chen Shih1
National Dong Hwa University, Taiwan
2
National Chengchi University, Taiwan
1What Affects theDecision-making Consumers
Consumption of Luxury Goods:
An Evidence Case from China

Yong Zhang1, Jikun Fang1, Hao Zhang1,
Zheng Cui1, Xiaojuan Fan1
1
Beijing Technology and Business
University, China

Varinder Singh1, Vishnu Prakash
Agarwal2, Prasanta Deb1
1
Bits Pilani K K Birla Goa Campus, India
2
Thapar University, India

Overall Weighting Equipment
EffectivenessRatapol Wudhikarn1
1
Chiang Mai University, Thailand

An Empirical Analysis of Elicited
Weights in AHP
Céline Verly1, Karim Lidouh1, Yves De
Smet1
1
Université Libre de Bruxelles, Belgium

A Dynamic Differential
Evolution Algorithm for Mixed
Logit Discrete Choice Model
Estimation

Songlin Chen1, Youbang Zhang1, Xiaojin
Zhang1, Jianxin Jiao2
1
Nanyang Technological University,
Singapore2
Georgia Institute of Technology, UnitedStatesTwo-Decision-Maker Cooperative
Games with Fuzzy Preferences

Kwa-Sang Chin
Jin Han Park

Abstracts: see page 48

Abstracts: see page 47

Hong Mao1, Krzysztof Ostaszewski2
1
Shanghai Second Polytechnic University,
China
2
Illinois State University, United StatesPrasanta Deb
Mei-Chen Lo

Ranking of Product Alternatives
Based on Customer-Designer
Preferences
Sanjaykumar Gangurde1, Milind
Akarte2
1
K.K.Wagh Institute of Engineering
Education and Research, India
2
National Institute of Industrial
Engineering, India

Spatial Detection of
Manufacturing Shift in Mean

Chen-ju Lin1, Chen-yu Lin1, Yen-ting
Chen1
1
Yuan Ze University, Taiwan

A Preliminary Study on Design
and Development of
Template-Based for License Plate
Recognition System Applying
Artificial Coordinates Auxiliary
Techniques

Bih-Yaw Shih1, Chen-Yuan Chen2,
Jin-Wei Kuo1, Po-Wei Chen1, Tsung-Hao
Chen3, Po-Hsuan Huang1, Pei-Yin
Chung4, Wan-I Lee2
1
National Pingtung University of
Education, Taiwan
2
National Kaohsiung First University of
Science and Technology, Taiwan
3
Shu-Te University, Taiwan
4
Meiho University, Taiwan

Interactive Permutation Decision
Making Based on Genetic
Algorithm
Mahdi Bashiri1, Majid Jalili1
1Shahed University, Iran

Coastal Vulnerability to Sea Level
Rise: A Spatio-temporal Decision
Making Tool
Oz Sahin1, Sherif Mohamed1
1
Griffith University, Australia

18

18

18

Technology &Knowledge Management (1)Technology &Knowledge Management (2)Technology &Knowledge Management (3)8/12/2010 11:00 - 12:30
Room: NAPLES 2603

8/12/2010 13:30 - 15:00
Room: NAPLES 2603

8/12/2010 15:30 - 17:15
Room: NAPLES 2603

Chairs:Chairs:Chairs:Prattana Punnakitikashem
Poul Kyvsgaard Hansen

Abstracts: see page 50

Abstracts: see page 49Does Internet Self-Efficacy AffectKnowledge Sharing Behavior?



Pei-Lee Teh , Jessica Sze-Yin Ho ,Chen-Chen Yong2, Siew-Yong Yew2
1
Multimedia University, Malaysia
2
University of Malaya, Malaysia11

Detecting the Valley ofInternational Academic
Collaboration in Renewable
EnergyHajime Sasaki1, Yuya Kajikawa1, Kenzo
Fujisue2, Ichiro Sakata1
1
The University of Tokyo, Japan
2
Waseda University, Japan







Knowledge Sources, Innovative
Activity and the Performance of
UK New Technology Based Firms
Panagiotis Ganotakis1, Jim Love1
1
Aston University, United Kingdom











Kai-Ying Chan1, Leon Oerlemans2,
Marthinus Pretorius1
1
University of Pretoria, South Africa
2
Tilburg University, Netherlands

An Incremental Approach to
Support Realization ofModularization Benefits

Poul Kyvsgaard Hansen1, Hongyi Sun2
1
Aalborg University, Denmark2City University of Hong Kong, Hong Kong

1

Inter-organizational Knowledge
Transfer Effectiveness in New
Technology-Based Firms: A
Relational and Empirical View
from South Africa

Measuring Individual IT
Capability to Efficiently Perform
Business Tasks in an Enterprise
IT Environment

Chui Young Yoon1, Jae Soo Yoo2, Young
Ju Bae2, Soon Suk Chung2, Ji Chul You2,
Seung Kweon Hong2
1
Chungbuk National University, South
Korea
2Chungju National University, South Korea

A Method for Assessing Patent
Similarity Using Direct andIndirect Citation Links
Hsiao-Chung Wu , Hung-Yi Chen ,Kung-Yen Lee2, Ying-Chieh Liu1
1
Chaoyang University of Technology,
Taiwan2
National Taiwan University, Taiwan

Challenges and Approaches to
Customer Development in
Co-located High-tech Start-ups

Dotun Adebanjo1
1
University of Liverpool, United Kingdom

The Interrelationship Among
Learning Environment,
Knowledge Process and New
Product Development
Performance

1





Profiling Chinese
Nano-Biomedical Science in a
DecadeNingning Jing1, Chen Yang11
Hohai University, China

Application of Production
Management Principles toEngineering Processes: An
Explorative Study

Johannes Hinckeldeyn1, Rob Dekkers2,
Jochen Kreutzfeldt1
1
Hamburg University of Applied Science,
Germany
2
University of the West of Scotland, United
KingdomCreate a Proactive Knowledge
Sharing Platform ThroughSpecific Supplier Network and
Location Investment

Ruimin Pei1, Alan Porter2, Peng Gao1
1
Chinese Academy of Sciences, China
2
Georgia Institute of Technology, UnitedStatesAn Efficient Development
Process for an Innovative
Transport Unit

Sebastian Jursch1, Sylwia Jalocha1,
Eckart Hauck1, Sabina Jeschke1, Klaus
Henning1
1
RWTH Aachen University, Germany

Mapping the Relations Between
Technology, Product, and Service:
Case of Apple Inc.

Tung-Hsien Chen1
1
National ChengChi University, Taiwan

A Correlation Analysis on Service
Innovation and Management for
the International Roaming
Inbound BusinessChia-Chi Lee1, Ta-Hui Yang2, Tyrone T.
Lin3
1
National Taipei College of Business, Taiwan
2
Chunghwa Telecom Co., Ltd., Taiwan andNational Dong Hwa University, Taiwan
3
National Dong Hwa University, Taiwan



Dotun Adebanjo
Hung-Yi Chen

Abstracts: see page 51

Woori Han1, Yongtae Park1
1
Seoul National University, South Korea

Technology Acquisition in
Functional Chemicals - An
Empirical Study on Phase
Difference Film

Takashi Yukita1, Hiroshi Osada2
1
Mitsui Chemicals, INC., Japan
2
Tokyo Institute of Technology, Japan

Chui Young Yoon
Panagiotis Ganotakis

A Framework to Analyze
Different Intellectual Property
Systems
Jiang Wei1, Xiaolei Kong1
1
Zhejiang University, China



A Systematic Approach to Designa Knowledge Transfer Frameworkfor Process Improvement Projects
Charalampos Daniilidis1, Thomas
Lamperstorfer1, Rafael Kirschner1,
Andreas Kain1, Udo Lindemann1
1Technische Universitaet Muenchen,
Germany

19

19

19

Supply Chain Management (1)Supply Chain Management (2)Supply Chain Management (3)8/12/2010 11:00 - 12:30
Room: NAPLES 2702

8/12/2010 13:30 - 15:00
Room: NAPLES 2702

8/12/2010 15:30 - 17:15
Room: NAPLES 2702

Chairs:Chairs:Chairs:William Ho
Ruhul Sarker

Abstracts: see page 52Strategic Capabilities of JapaneseIndependent Suppliers

Abstracts: see page 53
Kiminori Gemba1
1
Ritsumeikan University, JapanA Value-oriented Model forManaging Service Supply Chains
T. He1, William Ho1, X.F. Xu2
1
Aston University, United Kingdom
2
Harbin Institute of Technology, China

Analysis of Capacity and Cost
Heterogeneity in a Vendor Base

Asset Prioritazation as a Modal
Integrator in Organizational
Logistics Activities

Rodrigo Macedo1, Kelly Macedo2, Assed
Haddad3
1
Brazilian Army, Brazil
2
Fluminense Federal University, Brazil
3
Federal University of Rio de Janeiro, Brazil



Optimizing Short-Life-Product
Replenishment Policy
Considering Random Purchase
Cost Increase andIncentive-Dependent Selling Rate

Dynamic Multi-modal
Transportation Problem

A Supply Chain Performance
Measurement Improved with
Integrated Methods FDSM, MOO
and DEA Part I: A Conceptual of
Performance Measurement
Framework in Thailand: Frozen
Shrimp Chains

The Influence of Total Quality
Management, Concurrent
Engineering and Knowledge
Management in a Semiconductor
Manufacturing Firm
Poh Kiat Ng1, Gerald Guan Gan Goh1,
Uchenna Eze1
1
Multimedia University, Malaysia

20

20

Toward a Resilient Supply Chainwith Supply Disturbances

Ana Paula Barroso1, Virgínia Machado1,
Ana Rita Barros1, Virgilio
Cruz-Machado1
1
Universidade Nova de Lisboa, Portugal

Waste Electrical and Electronic
Equipment Management. A Case
Study

Virgínia Machado1, Ana Paula Barroso1,
Ana Rita Barros1, Virgilio
Cruz-Machado1
1
Universidade Nova de Lisboa, Portugal



Effective Inventory Managementof PCBA Production for Mobile
Devices
Weidong Lin1
1
Temasek Polytechnic, Singapore

Implementation of Green Supply
Chain Management inUncertainty
Chih-Cheng Chen1, Ming-Lang Tseng2,
Yuan-Hsu Lin1, Zeng Sheng Lin1
1
MingDao University, Taiwan
2Lung Hwa University of Science andTechnology, Taiwan

Using QFD to Analyse Demand
Chain Management in China for
European Winery
Haitao Wen1, Jian Tong2, Xuemei Fan1,
Sebastian Kummer2
1
Jilin University, China
2
Vienna University of Economics andBusiness Administration, Austria

Sirirat Pungchompoo1, Apichat
Sopadang1
1
Chiang Mai University, Thailand

Suk-Chul Rim1, Ikju Jang1
1
Ajou University, South Korea

20



Chun-Jen Chung1, Hui-Ming Wee2
1
Aletheia University, Taiwan
2
Chung Yuan Christian University, Taiwan

Chandra K Jaggi
Chih-Cheng Chen

Abstracts: see page 54

Minimizing Bullwhip Effect in
Supply Chains

Truong Ton Hien Duc1, Huynh Trung
Luong2, Yeong-Dae Kim3
1
Singapore Institute of Manufacturing andTechnology, Singapore
2Asian Institute of Technology, Thailand
3
Korea Advanced Institute of Science andTechnology, South Korea

Jishnu Hazra1, B. Mahadevan1
1Indian Institute of Management, India

Global Supply Network
Configuration Considering theApplication of Free Trade Zones
and Industrial Parks: A Decision
Model and Application Case
Yu-Tsung Huang1, Jun-Der Leu1,
Chih-Hao Wen1
1
National Central University, Taiwan

A Recovery Model for an
Economic Production Quantity
Problem with Disruption

Hawa Hishamuddin1, Ruhul Sarker1,
Daryl Essam1
1
University of New South Wales at theAustralian Defence Force Academy,
Australia

Chun-Mei Lai
Jun-Der Leu



Channel Coordination ThroughDiscount Pricing Policies When
Demand Is Price and Effort
Dependent

Yao Yu Wang1, Hon Shiang Lau1
1City University of Hong Kong, Hong Kong

Production Planning & Control (1)Information Processing &Engineering (1)Information Processing &Engineering (2)8/12/2010 11:00 - 12:30
Room: NAPLES 2602

8/12/2010 13:30 - 15:00
Room: NAPLES 2602

8/12/2010 15:30 - 17:15
Room: NAPLES 2602

Chairs:Chairs:Chairs:Yongzhong Wu
Suksan Prombanpong

Abstracts: see page 55
Optimization of Group
Scheduling Using Simulation
with The Meta-heuristic Extended
Great Deluge (EGD) ApproachMohamad Aghdasi , Ehsan Malihi
1
Tarbiat Modares University, Iran
1

Determination of thePareto-optimal Build
Orientations in Stereolithography
John Giannatsis1, Vassilis Canellidis1,
Vassilis Dedoussis1
1
University of Piraeus, GreeceA Hybrid Neural Network- Meta
Heuristics Approach for
Permutation Flow Shop
Scheduling Problems

Worst Case Performance
Scheduling Facing Uncertain
Disruption in a Continuous
Casting Process

Purit Thanakijkasem , Kiatkajohn
Worapradya1
1
King Mongkut's University of Technology
Thonburi, Thailand
1

A Niche Genetic Algorithm for
Two-machine Flowshop
Scheduling with Family
Sequence-dependent Setup
Times and a Common DueWindow



Multiple Model Predictive
Control of Nonlinear pH
Neutralization System

Ayman Hermansson1, Syafiie Syafiie2,
Samsul Mohd Noor2
1
SEGi University College, Malaysia
2
University Putra Malaysia, Malaysia

Improving Users Satisfaction by
Using Requirements Engineering
Approaches in the Conceptual
Phase of Construction Projects:
The Elicitation Process

Product Model-based Design
Process Modeling in
Collaborative Design

Xu Zhang1, Yadong Sun1, Lijuan Wang2,
Dehao Xu3
1
Beijing Institute of Technology, China
2
Beijing University of Chemical Technology,
China
3
Nanjing Institute of Electronic Technology,
China



Applying Fuzzy Sets for ERP
Systems Selection within theConstruction Industry

Marco Barreiros1, Antonio Grilo2,
Virgilio Cruz-Machado2, Maria do
Rosário Cabrita2
1
YKK, Portugal
2
Universidade Nova de Lisboa, PortugalPositive Infusion of Propofol
Drug During Induction

Syafiie Syafiie1, Mustapha Ait Rami2,
Fernando Tadeo2
1
University Putra Malaysia, Malaysia
2
University of Valladolid, Spain

Meng-Chang Wang1, Yunqing Rao1,
Kun-Peng Wang1
1
Huazhong University of Science andTechnology, China
1Cyril Mauger1, Thomas Schwartz1,
Jean-Yves Dantan2, Lahcene Harbouche1
1
Public Research Center Henri Tudor,
Luxembourg2
Arts et Métiers ParisTech, France

Radha Ramanan Thiyagarajan1, Sarang
Kulkarni1, Sridharan R1
1
National Institute of Technology Calicut,
India



Rule Based Business Process
Optimization

Yaoguang Hu
Xu Zhang

Abstracts: see page 57

Abstracts: see page 56

A. Ben Mosbah1, Thien-My Dao1
1
ETS/University of Quebec, CanadaSuthep Butdee
Tingting Zhao

Creative Design of Solar Energy
Portable Lamp Based on ProductGene and Intuition Models

Ting-ting Zhao1, Zhenhe Ju1, Xiao-peng
Wei2, Xiao-xiao Li3
1
Shenyang Institute of Engineering, China
2
Dalian University, China
3
Liaoning Solar Energy R&D CO., LTD,
China



A New Filter Feature Selection
Approach for Customer Churn
Prediction in
Telecommunications

Ying Huang1, Bingquan Huang1, Tahar
Kechadi1
1
University College Dublin, IrelandModel Building of Coordination
Theory: A Review
Xiaoming Hu1, Qiang Lu1
1
Shenzhen Graduate School, Harbin
Institute of Technology, China

Function-Based Patent Retrievalfor Concept Design
Hongtao Wu1, Haobo Yang1, Jianhong
Ma1, Runhua Tan1
1
Hebei University of Technology, China



Robust Tool for Feature
Extraction and Its Application
Pawel Blaszczyk1
1
University of Silesia, Poland

Identifying a New Service
Opportunity from Potential
Needs: User-centric Service Map
Jieun Kim1, Yongtae Park1
1
Seoul National University, South Korea

A Novel Digit Serial Dual Basis
GF(2m) Multiplier
Po-Lun Chang1, Fei-Hu Hsieh1,
Horng-Lin Shieh2
1Lunghwa University of Science andTechnology, Taiwan
2Saint John's University, Taiwan

21

21

21

Operations Research (1)Service Innovation & Management (1)Service Innovation & Management (2)8/12/2010 11:00 - 12:30
Room: NAPLES 2701

8/12/2010 13:30 - 15:00
Room: NAPLES 2701

8/12/2010 15:30 - 17:15
Room: NAPLES 2701

Chairs:Chairs:Chairs:Yuri Popkov
Chuangyin Dang

Abstracts: see page 58
Ranking Alternative Production
Scenarios Using Super-Efficiency
Analysis

Abstracts: see page 59
Stella Sofianopoulou1
1
University of Piraeus, GreeceComplexity and Approximability
Results for Robust Knapsack
Problems

A Shortest Path Problem with
Random and Interval Variables
for Arcs Based on Conditional
Value at Risk



The Development on Obstacle
Avoidance Design for a
Humanoid Robot Based on Four
Ultrasonic Sensors for the
Learning Behavior andPerformance

Ya-Ju Li1, Wei Chung Chou1, Chen-Yuan
Chen2, Bih-Yaw Shih1, Lien-Tung Chen3,
Pei-Yin Chung41
National Pingtung University of
Education, Taiwan
2
National Kaohsiung First University of
Science and Technology, Taiwan
3
Yung-Ta Institute of Technology andCommerce, Taiwan
4
Meiho University, Taiwan

A Performance Management on
Automobile Dealers with
Applying Data Envelopment
AnalysisTyrone T. Lin1, Chia-Chi Lee2, Fei-Ting
Chang1
1
National Dong Hwa University, Taiwan
2
National Taipei College of Business, Taiwan







Creating an Academic andTechnological Landscape ofService Innovation: An Analysisof the Citation Network

Development of Technology
Roadmap for Product-Service
System (TRPSS)

Youngjung Geum1, Yongtae Park1
1
Seoul National University, South Korea



Fuzzy Measures for Service
Quality of Fuzzy Numbers

Development of Two-layered
Service Evolution Map: Structure
and Development ProcessBomi Song1, Daekook Kang1, Byungun
Yoon2, Yongtae Park1
1
Seoul National University, South Korea
2
Dongguk University-Seoul, South Korea

22

22

22

iSIM: A Proposed Methodology
for Industrial-oriented Service
Innovation

Chien-Liang Kuo1, Chao-yin Chi2,
Huey-Jiuan Yeh2
1
Chinese Culture University, Taiwan
2
Industrial Technology Research Institute,
TaiwanMixed Integer Programming
Formulation for Hybrid Flow
Shop Scheduling Problem

Application of Simulated
Annealing on Least-Cost Designof Sewer Network

Shuang-Fu Yeh1, Yao-Jen Chang1,
Min-Der Lin1
1
National Chung Hsing University, Taiwan

A Two-Stage Discretionary
Priority Service System with
Markovian Arrival Inputs
Ning Zhao1, Zhaotong Lian1
1
University of Macau, China

Mohamed K. Omar1, Siew Chein Teo2,
Yasothei Suppiah2
1
University Technical Melaka, Malaysia
2
Multimedia University, Malaysia

Impact of Waiting Time on
Tourists Satisfaction in a Theme
Park: An Empirical Investigation
Wenli Li1
1
Jinan Universiy, China

Cheng-Che Chen1, Chun-Mei Lai1,
Hsu-San Liu1
1
Far East University, Taiwan



An Exploration of Service Quality
Practices in the Chinese Hotel
Industry - A Comparison between
CMHs and FMHs
Zheng Cui1, Haoxiong Yang1, Suyuan
Zhang2
1
Beijing Technology and Business
University, China
2
Peking University, China

Naoki Shibata1, Yuya Kajikawa1,
Junichiro Mori1, Ichiro Sakata1
1
The University of Tokyo, JapanHow Trust Links the Association
Connecting Use Experience,
Word-of-Mouth with Use
Intention and Use Behavior - A
Case Study on the Service
Innovation in the Aesthetic
Medical Treatment

Shuo-Chang Tsai1, Yung-Hsin Chen2,
Ling-Yu Chang3
1
Asia Univeristy, Taiwan
2
National Cheng Kung University, Taiwan
3
China Medical University Hospital,
TaiwanA Novel RFID Application for
Realizing Lean Services Based on
Customer Chain Operations
Reference Model

Stuart So1
1
City University of Hong Kong, Hong Kong

Takashi Hasuike1
1
Osaka University, Japan

Analyzing Service Quality inThai Hotel Industry: An
Application of the SERVQUAL
Model

Zheng Cui
Stuart So

Abstracts: see page 60

Sakun Boon-itt1, Vornsupa Chomvong2
1Thammasat Business School, Thailand
2
PricewaterhouseCoopers, Thailand

Fabrice Talla Nobibon1, Roel Leus1
1
Katholieke Universiteit Leuven, Belgium

Yuya Kajikawa
Chien-Liang Kuo

Service Science: An Analysis of
the Business System of Product
Service Companies
Noriyuki Shikata1, Kiminori Gemba2,
Keisuke Uenishi1
1
Osaka University, Japan
2
Ritsumeikan University, Japan

Evaluation of PSS Concepts for
Successful Shift from Product to
PSS: An Approach Based on AHP
and Niche Theory
Sora Lee1, Yongtae Park1
1
Seoul National University, South Korea

Quality Control & Management (1)Human Factors (1)Human Factors (2)8/12/2010 11:00 - 12:30
Room: NAPLES 2601

8/12/2010 13:30 - 15:00
Room: NAPLES 2601

8/12/2010 15:30 - 17:15
Room: NAPLES 2601

Chairs:Chairs:Chairs:Lianjie Shu
Chen-Ju Lin

Abstracts: see page 61
Evaluation of Production Yield
for Process Selection

Abstracts: see page 62Chen-ju Lin1, Hsin-hui Kuo1
1
Yuan Ze University, Taiwan

Simultaneously Considered theProperties of Cost and Quality fora Control Chart Design with a
Gamma Shock Model andCorrelated Data

Weighted CUSUM Procedures for
Surveillance of Health Eventswith Varying Population Sizes
Lianjie Shu1, Wei Jiang2, Kwok-Leung
Tsui3
1
University of Macau, Macau
2
The Hong Kong University of Science andTechnology, Hong Kong
3
Georgia Institute of Technology, UnitedStatesMedical Equipment (DXA)
Reliability and the Managementof Its Quality Control by theClinical User

Jan Pieter Clarys1, Aldo Scafoglieri1,
Steven Provyn1, Olivia Louis2, Joanne
Wallace3, Jonathan Tresignie1, Johan De
Mey1
1
Vrije Universiteit Brussel, Belgium
2
Brussels University Hospital, Belgium
3
University of Aberystwyth, United
KingdomApplication of XML for
Manufacturing Quality
Information Representation
Based on STEP

Xianlong Xu1, Shurong Tong2, Xinwei
Zhang3, Xin Shi2, Shiwang Hou4
1
Xi'an Technological University, China
2
Northwestern Polytechnical University,
China
3
University of Toulouse, France
4
North University of China, China

Only Room for an Ideas Man - or
Is There More to CI for the Less
Creative?

Problem-Identification Workshop
as a Future-Oriented
Macroergonomic Tool forManaging the Work Environment











Designing Lifting Task in Shoe
Industry using Genetic Algorithm
Sanjay Srivastava1, Kamal Srivastava1,
Swati N1, Yogesh Anand1, V. Soamidas1
1
Dayalbagh Educational Institute, India

Examining the Mediating Effectof Innovative Culture in the
Relationship Between Leadershipand Knowledge-based Customer
Relationship Implementation
Andy, Li Yueh Chen1
1
MingDao University, Taiwan

Measuring Member Performancein Multi-functional R&D Teams:
An Empirical Study with GAHP
Analysis

Sonar-based Obstacle AvoidanceUsing a Path Correction Method
for Autonomous Control of a
Biped Robot for the Learning
Stratification and Performance

Cheng-Hsuan Tsai1, Po-Hsuan Huang1,
Wei Chung Chou1, Chia-Hung Shih1,
Chen-Yuan Chen2, Bih-Yaw Shih1,
Chin-Jui Chang3, Cheng-Wu Chen4,
Tsung-Hao Chen5, Wan-I Lee2, Pei-Yin
Chung6
1
National Pingtung University of
Education, Taiwan
2
National Kaohsiung First University of
Science and Technology, Taiwan
3
Transworld University, Taiwan
4
National Kaohsiung Marine University,
Taiwan5
Shu-Te University, Taiwan
6
Meiho University, Taiwan

Jie Zhu1, Shuang Chen1, Qiang Lu1
1
Shenzhen Graduate School, Harbin
Institute of Technology, ChinaA Modeling Consideration of the
Latent Characters of theInformation System and Amounts
based on the Philosophical andNervous Elements
Masahiro Aruga1, Masayuki Aruga2
1
Tokai University, Japan
2
The Open University of Japan,

Foot Measurements from 2D
Digital Images

Shuping Xiong1, Yulin Li1, Yi Zhu1,
Jingxing Qian1, Dong Yang2
1
Shanghai Jiao Tong University, China
2
Donghua University, China

Studying Into Relationship
Between Strategy andOrganizational Structure at PowerDistribution Company for Tehran
Province Districts
Toraj Mojibi1, Mona Milani1, Yasaman
Khalili2, Soheil Khorshidi31Islamic Azad University, Iran2
Payame Noor University, Iran
3
Ministry of Education, Iran

Mohammed-Aminu Sanda1, Ylva
Fältholm1, Lena Abrahamsson1, Jan
Johansson11Luleå University of Technology, Sweden

Masahiro Aruga
Zhizhong Li

Abstracts: see page 63

Helen Wagner1, Sue Morton1, Chris
Backhouse1
1
Loughborough University, United
KingdomPeng-Kai Wang1, Cho Hua Yeh2,
Feng-Chia Li3
1
Hwa Hsia College, Taiwan
2
Tsing Hwa University, Taiwan
3
Jen Teh Junior College, Taiwan



Jianwei Niu
Toraj Mojibi

Structural Analysis ofApproaches for Worker
Participation

Uwe Dombrowski1, Tim Mielke1, Sven
Schulze1
1
Technische Universität Braunschweig,
GermanyApplication of QFD in Digital
Electronics Industry

Feature Extraction of Three
Dimensional (3D) Facial
Landmarks Using Spin Image

Xin Zhang1, Na Fan2, Xiao Chen3,
Linhua Ran1, Jianwei Niu2
1
China National Institute ofStandardization, China
2
University of Science and Technology
Beijing, China
3
Quartermaster Research Institute, China

Mahmood Ul Hassan1, Ahmer
Tajammul1, Muhammad Asim2
1
National University of Sciences andTechnology, Pakistan
2
Center for Advance Studies in Engineering,
Pakistan

Reducing the Risk of Heat Stress
Using Artificial Neural Networks
Based Job-combination Approach
Sanjay Srivastava1, Yogesh Anand1, V.
Soamidas1
1
Dayalbagh Educational Institute, India

23

23

23

Manufacturing Systems (1)Manufacturing Systems (2)Reliability &Maintenance Engineering (1)8/12/2010 11:00 - 12:30
Room: SICILY 2502

8/12/2010 13:30 - 15:00
Room: SICILY 2502

8/12/2010 15:30 - 17:15
Room: SICILY 2502

Chairs:Chairs:Chairs:S.S. Mahapatra
Carman Ka Man Lee

Abstracts: see page 64Effective Nesting of Layer
Manufacturing Fabricated Parts
Using a Genetic Algorithm and a
Bottom-Left Ray Casting
Procedure
Vassilis Canellidis1, John Giannatsis1,
Vassilis Dedoussis1
1
University of Piraeus, Greece









Grinding Path Optimization for
The Roll Grinding Machine
Apisak Phromfaiy1, Kawin
Sonthipermpoon1, Erik Bohez2
1
University of Naresuan, Thailand
2
Asian Institute of Technology, ThailandSimultaneous Microchannel
Formation and Copper
Deposition on Silicon Along with
Surface Treatment

An Improved Artificial Immune
System for Solving Loading
Problems in Flexible
Manufacturing Systems

Prasant Ranjan Dhal1, Mohapatra S S1,
Saurav Datta1, Antaryami Mishra1
1
National Institute of Technology, India

Apriani Soepardi1, Mochammad
Chaeron1, Fahryl Aini2
1
University of National Development,Indonesia
2
Insan Teknologi Semesta Ltd., Indonesia



Manufacturing Cell Formation
under Probabilistic Product Mix







An Investigation Into Whether
the NHPP Framework Is Suitable
For Software Reliability
Prediction and Estimation
Chu-Ti Lin1, Kai-Wei Tang1, Jun-Ru
Chang2, Chin-Yu Huang2
1
National Chiayi University, Taiwan
2
National Tsing Hua University, Taiwan

Assembly Planning of Aircraft
Based on Polychromatic SetsSong Wang1, Jun Hong1, Yunlong Li1, Yi
Zhang1, Zongbin Li1
1
Xi’an Jiaotong University, China

Sewerage Rehabilitation
Planning

Ming-Der Yang1, T. C. Su2, Nang-Fei
Pan3, P. Liu41
National Chung Hsing University, Taiwan
2
National Quemoy University, Taiwan
3
National Cheng Kung University, Taiwan
4Feng Chia University, Taiwan

Yi Wu1
1
Shanghai University, China



Change-Point Modeling for
Software Reliability Assessment
Depending on Two-Types of
Reliability Growth Factors
Shinji Inoue1, Shigeru Yamada1
1
Tottori University, JapanA Multi-plant Tolerance
Allocation Model for Assembled
Electronic Products in Green
Supply Chain Management

Study on Implementation
Strategies of EPR-Driven
Remanufacturing in China

A Study of Applying theBounded Generalized Pareto
Distribution to the Analysis of
Software Fault Distribution

Chih-Song Kuo1, Chin-Yu Huang1
1
National Tsing Hua University, Taiwan

Feng-Yi Huang1, Yuan-Jye Tseng1
1
Yuan Ze University, Taiwan



A Checkpoint Scheme with Task
Duplication Considering
Transient and Permanent Faults

Jung-Min Yang1, Seong Woo Kwak2
1
Catholic University of Daegu, South Korea
2
Keimyung University, South Korea

Madhusudanan Pillai , M. P.
Chandrasekharan2
1
National Institiute of Technology Calicut,
India
2
Amrita Viswa Vidya Peetham, India

A Web-based Collaborative QFD
System to Aid Children Backpack
DesignOptimization Problems Related
to Triangular Pocket Machining

1

Kevin Tseng1, Cho-Chi Hsu1
1
Chang Gung University, Taiwan

Application of HierarchicalColored Petri Net in Distributed
Manufacturing Network
Yaqiong Lv1, Carman Ka Man Lee1
1
Nanyang Technological University,
SingaporeJihong Yan
Ming-Der Yang

Abstracts: see page 66

Abstracts: see page 65

Heuristic Procedure for Mixed
Model Assembly Line Balancing
ProblemVenkatesh Jonnalagedda1, Balaji
Dabade1
1
SGGS Institue of Engineering andTechnology, India

Kevin Tseng
Nirjhar Roy

Anjali Kulkarni1, Vijay Kumar Jain1, K.
A. Misra2
1
Indian Institute of Technology, India
2
Harcourt Butler Technological Institute,
India

Availability Assessment of aMulti-State Repairable Bubble
Gum Production System

Pardeep Gupta1, Atul Goyal2
1Sant Longowal Institute of Engineering &Technology, India
2
Lala Lajpat Rai Institute of Engineering &Technology, India



Residual-based
Inspection/Replacement Policy
for a Deteriorating System with
Markovian Covariates
Xuejing Zhao1, Mitra Fouladirad2,
Christophe Berenguer2
1
Lanzhou University, China
2
Troyes University of Technology, France

24

24

24

Project Management (1)Engineering Education & Training

E-business & E-Commerce

8/12/2010 11:00 - 12:30
Room: SICILY 2402

8/12/2010 13:30 - 15:00
Room: SICILY 2402

8/12/2010 15:30 - 17:15
Room: SICILY 2402

Chairs:Chairs:Chairs:Norbert Trautmann
Luciana Alencar

Abstracts: see page 67Project Scheduling with
Alternative Technologies:
Incorporating Varying Activity
Duration Variability

Abstracts: see page 68
Stefan Creemers1, Roel Leus1, Bert De
Reyck2
1
Katholieke Universiteit Leuven, Belgium
2
University College London, United
KingdomPreemptive Resource Constrained
Project Scheduling Problem with
Uncertain Resource Availabilities:
Investigate Worth of Proactive
Strategies
Mohamad Fallah1, M.Bahador
Aryanezhad2, Behzad Ashtiani2
1Islamic Azad University, Iran
2
Iran University of Science and Technology,
Iran









Seng Fat Wong1, Zhixin Yang1, N. Cao1,
W. I. Ho1
1
University of Macau, Macau

A Two-stage Stochastic
Programming Model for Resource
Allocation in ProjectManagement

Optimal Modular Design Policy
for Complex Systems in
Considering Coordination Costs

Applied RFID and Virtual Reality
Technology in Professional
Training System for
Manufacturing

Bingyin Bao1, Suxiu Xu1, Qiang Lu1
1
Shenzhen Graduate School, Harbin
Institute of Technology, China

Establishing an Energy Education
Experience Course Program in
TaiwanHow-Gao Hsu1, Wei-Hsien Huang1,
Hui-Yun Fu1, Tun-Ping Teng1
1
National Taiwan Normal University,
TaiwanStudy of the Ability and the
Education System ofProfessionals on Housing
Maintenance Engineering

Yunbo Xu1, Leilei Gao1
1
Henan Institute of Engineering, China

Business Communication
Experiences in the US, Mexico,
and China

Kejia Wu1, Malini Natarajarathinam1,
Michael Johnson1, Thanigaivel
Kulandaivelu1
1
Texas A&M University, United StatesAn Empirical Study of User
Acceptance of Internet Banking:
An Integration of TAM with Trustand Self-efficacy
Hong-Lei Song1, Shuang Wang2
1
Renmin University of China, China
2
China Agricultural University, China

An Online Group-buying Model
Based on Fuzzy Theory
Chu-Chai Henry Chan1, Chien-Yu
Chiang1
1
Chaoyang University of Technology,
Taiwan

Factors Affecting the Continued
Intention of Mobile Shopping

Chuen-Roan Kang1, Ming-Chien Hung2,
Shih-Ting Yang2, Ting-Chu Hsieh3,
Shun-ming Tang1
1
National Yunlin University of Sciences andTechnology, Taiwan
2
Nanhua University, Taiwan
3
WuFeng University, Taiwan

Compositive Support System and
Evaluation System Study on
Engineering Equipment’s Use
Course Management

Yongsheng Jin1, Guowei Wei1, Ding
Wei2, Yueguo Shen3
1
Beijing University of Posts andTelecommunications, China
2
Peking University, China
3
PLA University of Science and Technology,
China

Zhaotong Lian
Michael Johnson

Abstracts: see page 69

Learning Construction
Procurement Negotiation in an
Educational Game

Pei-Ru Wang1, R. J. Dzeng1, N. F. Pan2
1
National Chiao-Tung University, Taiwan
2
National Cheng Kung University, Taiwan

Dongsheng Xu1, Yinhua Ye1, Yingna Lu1,
Shujin Deng1
1
Sun Yat-sen University, China

Assessing Core Competencies
and Their Training Demands for
Industrial Safety and Hygiene
Professional Engineers in Taiwan
Fu-Man Hsieh1, Yichun Yu2, Y.C. Lin2,
Perng-Jy Tsai3
1
Wenzao Ursuline College of Languages,
Taiwan2Institute of Occupational Safety and
Health, Taiwan
3
National Cheng Kung University, Taiwan

Factors Influencing Project
Quality in the Design Phase of
Building Projects. A Case in the
Department of Building andEngineering Services of Botswana
Emmanuel Dodoo1, Corro Van
Waveren1, K.Y Chan1
1
University of Pretoria, South Africa

Fu-Man Hsieh
Seng Fat Wong

Customer Value of Social
Network Service Website: Key
Components and Impacts on
Customer Loyalty

Guozheng Zhang1, Faming Zhou2, Yong
Lan2
1
Central South University, China
2
Hunan Agricultural University, ChinaThe Influence of Electronic
Word-of-Mouth on Consumers'
Quadratic Selection: Based on the
Positive Research of Banks in
Mainland China
Junfeng Liao1, Chunyan Zhong11South China University of Technology,
China



The Implications of Virtual
Reality Technology in
E-commerce

Hana Estifaei1, Mustafa Riza1, Hamed F.
Manesh1
1
Eastern Mediterranean University, Turkey

25

25

25

Poster Session 1
8/12/2010 All-Day Display
Room: SICILY 2501
p.70

p.70

p.70

p.71

The Relationships Between
Green Consumption Cognition
and Behavioral Intentions for
Consumers in the Restaurant
Industry

p.71

The Comparison Between
MAUT and PROMETHEEMin Wang1, S.-J. Lin1, Y.-C. Lo1
1
Chaoyang University of Technology,
Taiwan

p.70

p.71

p.71

p.71

p.71

A New Robust Validity Index
for Fuzzy Clustering
Algorithm
Horng-Lin Shieh1, Po-Lun Chang2
1
Saint John's University, Taiwan
2Lunghwa University of Science andTechnology, Taiwan

26

26

26

Modeling Impact of Product
Variety on Performance in
Mixed-model Assembly
System: an Artificial Neural
Network Meta-modelingApproach

p.72

p.72

p.72

p.72

Mengru Li , Baofu Xu , Zhinxin
Chen2
1
Tongji University, China
2
Chinese Academy of Fishery Sciences,
China

p.72

p.73

p.72

p.73

Teresa Alvarez1, Daniel Briongos1,
Monica Garcia1
1
University of Valladolid, Spain

An Empirical Analysis of theContent of Chinese andAmerican B2C Home Furniture
Web Sites
Liyi Zhang1, Shouxiang Li1, Yun
Xiao1
1
Wuhan University, China

p.73

Key Factors of Online Bank
Brand Choice Intention Basing on Mainland China
Online Banks

Junfeng Liao1, Rui Cheng2,
Zhongqiang Wang3
1
South China University of Technology,
China
2City University, Hong Kong
3
University of Warwick, United
Kingdom

p.73

An Agent Based Negotiation
Mechanism Considering
Suppliers Bidding in an
Automated BusinessTransaction
S. Kamal Chaharsooghi1, Zahra
Taheri1
1
Tarbiat Modares University, Iran

p.73

Cloud Computing for Network
Business Ecosystem
Roberto Gagliardi1, Fausto
Marcantoni1, Alberto Polzonetti1,
Barbara Re1, Pietro Tapanelli1
1
University of Camerino, Italy

Flight Operation-oriented
Tunnel-in-the-Sky Design

How Could Non-feasible
Constraints Be Located in
Predictive Control?

International Liquidity,
Inflation and Exchange Rate:
Evidence from China
Hongxia Ma1, Xuefen Sun1
1
Wuhan University, China

1

Xuelin Huang1, Jiangyun Wang1
1
Beihang University, China

Estimating Technical
Efficiency for Global E-tailing
Companies for Different
Regions
Yi-Hsing Lin1, Chun-Fu Hong2
1
National Quemoy University, Taiwan
2
National Yang-Ming University,
TaiwanBond Graph Model of a New
Hydraulic Winch Test Benchon Energy Recycle
1

The Effects of Memory Cue
and Memory Aid on
Prospective Memory in Older
and Younger Adults

Min-Sheng Chen1, Chih-Nan Wang1
1
National Yunlin University of Science& Technology, Taiwan

Scheduling of Television
Commercials

Min-Sun Wuang1, Chang-Lin Yang1,
Rong-Hwa Huang1, Shan-Ping
Chuang2
1
Fu Jen Catholic University, Taiwan
2
Huafan University, Taiwan

A Comparison Study of Five
In-vehicle Warning
Information Displays with or
Without Spatial Compatibility

Jing-Wun Jhuang1, Yung Ching Liu1,
Yang-Kun Ou1
1
National Yunlin University of Scienceand Technology, Taiwan

Yunqing Rao1, Kunpeng Wang1,
Meng-Chang Wang1
1
Huazhong University of Science andTechnology, China

Development of an Adjustable
Mold Box for Making Silicone
Rubber Mold
Chil-Chyuan Kuo1, Cheng-Yan Lin1,
Xin-Zhu Wu1
1
Ming Chi University of Technology,
TaiwanAdmission Control of an
M/M/1 Queue with Multiple
Deterioration States
Yarlin Kuo1
1
Yunlin University of Science andTechnology, Taiwan

Regulatory Focus and Recovery
Fit in Airline Overbooking
Xiang Zhang1, Peng Wang1, Yuehui
Wang1, Guoxin Wang1
1
Beijing Institute of Technology, China

p.72

Time-To-State and Availability
Assessment of Multi-state
Weighted K-out-of-N: G
Systems
Shahrzad Faghihroohi1, Yanfu Li2
1
National University of Singapore,
Singapore2
University of Tennesee, United States

Ching-Yu Lien1, Yu-Shih Chen2,
Chih-Wen Huang3
1
Minghsin University of Science andTechnology, Taiwan
2
Feng Chia University, Taiwan
3
Tamkang University, Taiwan

p.70

Failure Rate Calculating
Method of Components Basedon the Load-strengthInterference Model

Algorithm for Obstacle
Classification and Lane Line
Identification Using LRF
Sensors

Hung-Yuan Chung1, Zih-Yang Lin1,
Hong-Wei Chen1, Hsiao-Yu Wang1
1
National Central University, Taiwan

Schedulability and Optimal
Checkpoint Placement forReal-Time Multi-Tasks

Zheng Wang1, Zengquan Wang1,
A-na Wang2
1
National Key Laboratory of Diesel
Engine Turbocharging Technology,
China
2
Shenyang Ligong University, China

Calculating Lifecycle
Interdependencies Based on
Eco-Design Strategies

Clemens Hepperle1, Nikolas
Bradford1, Francesco Costantino2,
Robert Orawski1, Stefan Langer1,
Udo Lindemann1
1Technische Universitaet Muenchen,
Germany
2
University of Rome “La Sapienza”,
Italy

p.72

Seong Woo Kwak1, Jung-Min Yang2
1
Keimyung University, South Korea
2
Catholic University of Daegu, South
Korea

Developing A Consumer
Experience Conceptual Modelfor the Taiwanese Fine Food
Culture in the Restaurant
Industry
Ching-Yu Lien1, Shu-Hwa Hsiao1,
Chih-Wen Huang2
1
Minghsin University of Science andTechnology, Taiwan
2
Tamkang University, Taiwan

p.70

p.71

Development of Integrated
Qualitative and Environmental
Decision Method
Ratapol Wudhikarn1, Nopasit
Chakpitak1
1
Chiang Mai University, Thailand

Analysis of the Harmonics
Losses and Bearing Load forMotorized High Speed Spindle
Part I: Modeling
Shih-Chang Chen1, Yu-Ling Juan1,
Chia-Hui Tang1, Ching-Feng Chang1,
Tsair-Rong Chen1
1
National Changhua University of
Education, Taiwan

A Memetic Algorithm for the
Close-Open Mixed Vehicle
Routing Problem

Ran Liu1, Zhibin Jiang1, Hongtao
Hu1, Shiqing Yao1
1
Shanghai Jiao Tong University, China

p.70

p.71

p.73

An Oligopolistic Electricity
Model with Marketable CO2Emission Permits

William Chung1
1
City University of Hong Kong, Hong
Kong

p.73

The Project Management of theProfit Contribution from theCustomers of Mobile Virtual
Private Network Services

Chia-Chi Lee1, Du-Ching Lu2, Tyrone
T. Lin31
National Taipei College of Business,
Taiwan2Chunghwa Telecom Co., Ltd., Taipei,
Taiwan and National Dong Hwa
University, Taiwan
3
National Dong Hwa University,
Taiwanp.73

High in Quantity and High in
Storage: A Look Into the
Patents Conversion in Chinese
Universities
Yang Zhou1, Jin Chen1
1
Zhejiang University, China

p.74

Examining Transactive
Memory System in R&D
Teams

p.74

Research on Pervasive
Knowledge Service Model

Min Yao1, Xinghe Wu1, Yao Yao2,
Yiwen Wang1
1
Zhejiang University, China
2
Hangzhou Normal University, China

p.74

What Leads to Differences in
Success Antecedents?
Analyzing the Effect ofOffering Nature, Variety, andService Mode
Bin Xu1, Kay Chuan Tan1
1
National University of Singapore,
Singapore

p.74

Theoretical Perspectives in
Quality Management
Implementation: A Literature
Review
Nisakorn Somsuk1
1
Thammasat University, Thailand

Chi-Cheng Huang1, Pin-Chen Jiang2
1
Aletheia University, Taiwan
2
Chang Jung Christian University,
Taiwanp.74

A Review of Inter-Firm
Technology Transfer Throughthe Lens of the Resource-Based
View
Nisakorn Somsuk1
1
Thammasat University, Thailand

p.74

The Interactive Effect ofKnowledge Management with
Organizational Citizenship
Behavior on Knowledge
Management Performance in
Taiwan Semiconductor
Industries
Chin Ping Chen1, His-Chi Hsiao2,
Ching Wei Lin3, Yong Xin Li1
1
National Changhua University of
Education, Taiwan
2
Cheng Shiu University, Taiwan
3
National Chiao Tung University,
Taiwanp.74

University-Industry
Technology Transfer
Programme's Success Analysis:Using the Analytic Hierarchy
Process-Based Model
Nisakorn Somsuk1
1
Thammasat University, Thailand

27

27

27

Decision Analysis & Methods (4)Decision Analysis & Methods (5)Decision Analysis & Methods (6)9/12/2010 11:00 - 12:30
Room: NAPLES 2703

9/12/2010 13:30 - 15:00
Room: NAPLES 2703

9/12/2010 15:30 - 17:15
Room: NAPLES 2703

Chairs:Chairs:Chairs:Mubarak Almutairi
Tomasz Błaszczyk

Abstracts: see page 75Dynamic Linguistic Weighted
Averaging Operators Applied to
Decision Making

Jin Han Park1, Young Chel Kwun2, Ja
Hong Koo2
1
Pukyong National University, South Korea
2
Dong-A University, South Korea



Abstracts: see page 76

A Comparison of Three
Forecasting Methods to Establish
a Flexible Pavement
Serviceability Index

Decision Making in House of
Quality: A Hybrid
AHP-PROMETHEE Approach

Restaurant Location Selection by
Utilizing the Fuzzy Preference
Relations

Is China's Voluntary Action on
Carbon Intensity Cut Too
Ambitious?









Building Fuzzy Random
Objective Function for Interval
Fuzzy Goal Programming

28

28

The Effects of Feature Selection
and Model Selection on the
Correctness of Classification

ShuChuan Lo1
1
National Taipei University of Techonolgy,
Taiwan

A Case Study of Evaluating
Supplier's Selection Criteria in a
Steel Bars Manufacturer
Yun-Ning Liu1
1
University of Dong Hwa, Taiwan

A Study on Revenue
Management of Taiwan High
Speed Railway

Hsiao-min Chuang1, Chihpeng Chu1,
Wei-Feng Niu2
1
National Dong-hwa University, Taiwan
2
G5 Capital Management, Ltd., Taiwan

A Fuzzy Logic-Based Evaluation
Method for Idea Screening of
Product Design
Yao-Tsung Ko1, Ping-Hong Kuo1
1
Tunghai University, Taiwan

Predictive Modeling ofHigh-Performance Concrete with
Regression Analysis

Shanshan Wu1, Libei Zhi1, Jianguo
Yang1, Sanjay Shukla2
1
Donghua University, China
2
University of Texas at San Antonio, UnitedStatesUtilization of Data Mining on
Asset Management of Freeway
Flexible Pavement

Arbaiy Nureize1, Junzo Watada1
1
Waseda University, Japan28

Characterizing Triggers ofReactive Cycles within Design
Processes Based on Process
Observation

Po-Hsun Sung1, Jyh-Dong Lin1,
Shih-Huang Chen2, Shun-Hsing Chen3,
Jr-Hung Peng1
1
National Central University, Taiwan
2
Feng Chia University, Taiwan
3
Taiwan Area National Freeway Bureau,
TaiwanA Cost and Space Efficient
Method for Unbalanced
Assignment Problems

Anupong Iampang1, Veera Boonjing1,
Pisit Chanvarasuth2
1
King Mongkut’s Institute of Technology
Ladkrabang, Thailand
2
Sirindhorn International Institute ofTechnology, Thailand

A Note to TOPSIS Method in
MADM Problems Under Fuzzy
Environment

Arne Herberg1, Stefan Langer1, Florian
Netter1, Udo Lindemann1
1Technische Universitaet Muenchen,
Germany

Fuzzy Approaches to
Two-Decision-Maker Games

Mubarak Almutairi1
1
Hafr Albatin Community College, Saudi
ArabiaInvestigation on the
Improvement of Operational
Performance of Soeu's in India
Using Dea Based Malmquist
Index

Zhi Pei1, Li Zheng1
1
Tsinghua University, China

Hongliang Yang1, Dan Shi2
1
Asian Development Bank, Philippines
2
Chinese Academy of Social Sciences, China

On the Use of Multi-criteria
Decision Aid Tools for the
Efficient Design of 3D-stacked
Integrated Circuits: A Preliminary
Study

Meenakumari Ramachandran1, R
Subasri1, S Jayamani2, N Kamaraj3
1
Kongu Engineering College, India
2
Pavai Engineering College, India3
Thiagarajar College of Engineering, India

Tsung-Han Chang1
1
Kao-Yuan University, Taiwan

Anh Vu Doan1, Yves De Smet1, F.
Robert1, Dragomic Milojevic1
1
Université Libre de Bruxelles, Belgium

Majid Behzadian1, Reza Samizadeh2,
Jamshid Nazemi3
1
Shomal University, Iran
2
Alzahra University, Iran3
Azad University, IranAn Evaluation Methodology for
Binary Pattern Classification
Systems

Majid Behzadian
Xuenzheng Zhang

Abstracts: see page 77

Chih-Fong Tsai1
1National Central University, Taiwan

Ching-Tsung Hung1, Shih-Huang Chen2
1
Kainan University, Taiwan
2
Feng Chia University, Taiwan

Chih Wang
Majid JaliliRegional Industrial Energy
Efficiency Research Under the
Low-carbon Economy Target

Yuanying Chi1, Yuanqin Chi2, Dongxiao
Niu1, Zhi Liu1
1
North China Electric Power University,
China
2
Longkou Liangjia Coal Mine, China

Technology &Knowledge Management (4)Technology &Knowledge Management (5)Technology &Knowledge Management (6)9/12/2010 11:00 - 12:30
Room: NAPLES 2603

9/12/2010 13:30 - 15:00
Room: NAPLES 2603

9/12/2010 15:30 - 17:15
Room: NAPLES 2603

Chairs:Chairs:Chairs:Uchenna Cyril Eze
Yuya Kajikawa

Abstracts: see page 78
Developing Coherency Matrix to
Support Design Changes ofComplex Product

Abstracts: see page 79Nattawut Janthong1, Suthep Butdee1
1
King Mongkut's University of Technology
North Bangkok, Thailand

Determinants of Knowledge
Search Strategy of Chinese SMEs



Fang Luo
1
Zhejiang University, China

Performance Assessment ofTechnology Transfer Project: An
Application of DEA Technique

Prattana Punnakitikashem1, Patarapong
Intarakumnerd2, Tritos
Laosirihongthong2
1
Mahidol University, Thailand
2
Thammasat University, Thailand











A Novel Technique for
Measuring the Technology
Application on CNG Industry of
Pakistan

Global Trends and Rapid Growthof East Asia in IEEE Publications



Leveraging Knowledge
Management with the Balanced
ScorecardAn Approach to New ProductDevelopment Management in
SMEs

Bingwen Yan
1
Cape Peninsula University of Technology,
South Africa

Information Technology
Acceptance Models Comparisonand IT Development Strategies:
In Small and Medium Sized
Enterprises Case

Masoud Movahedi1, Mostafa
Zamanian2, Amirhossein Meisami3
1
Imam Hussain University, Iran
2
Amid Development Management
Consultants, Iran
3
K. N. Toosi University of Technology, Iran

A Framework for Measuring
Performance Faculty Knowledge
Management Program

Amelia Kurniawati1, LucianaAndrawina1
1
Telecom Institute of Technology, Indonesia



An Evidential Reasoning BasedLSA Approach to Document
Classification for Knowledge
Acquisition
Rozlini Mohamed1, Junzo Watada1
1
Waseda University, Japan



Maria do Rosário Cabrita1, Virgilio
Cruz-Machado1, Antonio Grilo1
1
Universidade Nova de Lisboa, Portugal

Fuzzy Axiomatic Design forKnowledge Demanders andSuppliers in Knowledge Service

Xi Chen1, Jing Han2, Zhi-ping Fan3, Yang
Liu3
1
Xi'dian University, China
2
China Mobile Group, Shanxi Company,
China
3
Northeastern University, China

Nobuyuki Shirakawa1, Minoru
Nomura1, Kumi Okuwada1, Takao
Furukawa1
1
National Institute of Science andTechnology Policy, Japan

Building Environmental
Assessment as a Knowledge
Management Tool Driving
Society
Yuya Kajikawa1, Toshihiro Inoue1
1
The University of Tokyo, Japan

Missing Link Between
Knowledge Management andOrganizational
Performance---Empirical
Evidence in Taiwan

Jawwad Hassan1, Naeha Sharif1,
Muhammad Asim2
1
National University of Sciences andTechnology, Pakistan
2
Center for Advance Studies in Engineering,
Pakistan

A Conceptual Framework of
Cluster Innovation Mechanism
Based on Network Theory: A
Case of Dalian Software Park in
China
Weilin Zhao1
1
Waseda University, Japan



Chi-Chuan Wu1, Shu-Hsien Liao2,
Wen-Jung Chang2, Retno Widowati2,
Da-Chian Hu2
1
Tatung University, Taiwan
2
Tamkang University, Taiwan

Determining Enabling Factors of
University Technology Business
Incubation Program:
Resource-Based View Theory
Nisakorn Somsuk1, Prattana
Punnakitikashem2, Tritos
Laosirihongthong11Thammasat University, Thailand
2
Mahidol University, Thailand

Technological Regime andKnowledge Productivity: An
Industry-level Analysis ofChinese Manufacturing

Uchenna Cyril Eze
Hongyi Sun

Abstracts: see page 80

Bin Guo1, Xiaoling Chen1
1
Zhejiang University, China

1

Tritos Laosirihongthong
Dotun Adebanjo

Requirements Uncertainty andStandardization in IS
Development Projects: A Surveyof the IT Sector in China
Younes Benslimane1, Zijiang Yang1,
Bouchaib Bahli2
1York University, Canada
2Danube University, Austria



Knowledge Long Tail

Knowledge Sharing and Total
Quality Management: A
Conceptual Framework

1

I-Ching Lin1, Rainer Seidel1, David
Howell1, David Walker1
1
The University of Auckland, New Zealand

Jamie Li-Yi Chua1, Uchenna Eze1,
Gerald Guan Gan Goh1
1
Multimedia University, Malaysia

29

29

29

Supply Chain Management (4)Supply Chain Management (5)Supply Chain Management (6)9/12/2010 11:00 - 12:30
Room: NAPLES 2702

9/12/2010 13:30 - 15:00
Room: NAPLES 2702

9/12/2010 15:30 - 17:15
Room: NAPLES 2702

Chairs:Chairs:Chairs:Kamrul Ahsan
Mahdi Bashiri

Abstracts: see page 81


An EPQ Model Under Partial
Trade Credit Financing with
Credit Sensitive Demand

Abstracts: see page 82
Chandra K Jaggi1
1
University of Delhi, India



A Novel Swarm Optimization
Technique for Partner Selection
in Virtual Enterprise

Understanding Trends of Car
Recalls

Kamrul Ahsan
1
Auckland University of Technology, New
Zealand

Analysis of Value Chain
Coordination via
Revenue-Sharing for Improving
the Expected ProfitsUsing Hybrid Metaheuristic
Approaches to Solve Bi-Level
Linear Programming Problem for
Supply Chain Management



R. J. Kuo1, Y. S. Han2
1
National Taiwan University of Science andTechnology, Taiwan
2
National Taipei University of Technology,
Taiwan

Distribution Planning in Supply
Chain Management
Radha Ramanan Thiyagarajan1, K
Ratnakumar1, Abhijith Vasudevan1,
Mishaal Sarawgi1, Mithun Sundar Raj1
1
National Institute of Technology Calicut,
India





A Novel Rewards-based Protocol
and Decision-making Techniquefor Transshipment in Supply
Chains

Lokendra Shastri , Srinivas
Narasimhamurthy1, Durga Prasad
Muni1
1
Infosys Technologies Limited, India
1

Reverse Logistics Network: A
Review
Zheng Wang1, Hua Bai1
1
Jinan University, China

Solving the Pickup and Delivery
Problem in Semiconductor
Supply Chain
Chun-Mei Lai1, Cheng-Che Chen1
1
Far East University, Taiwan

30

30

30

A Multi-Product Capacitated
Inventory-Location Model with
Risk PoolingSupply Chain Performance
Improvement Using Vendor
Management Inventory Strategy

Wei Xu1, Dongping Song1, Michael Roe1
1
University of Plymouth, United Kingdom

Does Technology
Capability-enriched Private
Brand Impacts Customer
Satisfaction and Loyalty in theMarketing Channel?

Yin-Ying Wang1, Yung-Hsin Chen2,
Shuo-Chang Tsai3, Long-Tai Chen4
1
National Yunlin University of Science andTechnology, Taiwan
2
National Cheng Kung University, Taiwan
3
Asia Univeristy, Taiwan
4
Industrial Technology Research Institute,
TaiwanBees Algorithm for Dynamic
Multi-Zone Dispatching in Truck
Load Trucking
Pairush Triwate1, Pongchanun
Luangpaiboon1
1
Thammasat University, Thailand

A Hierarchical Assessment
Method using Bayesian Network
for Material Risk Detection on
Green Supply Chain

Benjamin Yen1, Bingcong Zeng1
1
The University of Hong Kong, Hong Kong

Noura Al Dhaheri1, Ali Diabat1
1
MASDAR Institute, United Arab Emirates

Impacts of Random Capacity andFluctuating Environment On
Inventory Systems

Xiaoming Yan1, Ping Cao2, Minghui
Zhang2, Ke Liu2
1
Dongguan University of Technology, China
2
Chinese Academy of Sciences, China

1

Ushio Sumita
S.S. Mahapatra

Abstracts: see page 83

Yuhei Koike1, Masato Kotani1, Ushio
Sumita1, Yoshitugu Yamamoto1
1
University of Tsukuba, Japan

Mohapatra S S1, S. Sahu2, Saurav Datta1,
Prasanna K1, Nihar Ranjan Nayak1
1
National Institute of Technology, India
2
Indian Institute of Technology, Kharagpur,
India



Suk-Chul Rim
Assed Haddad

Corporate Myopia, Forecast
Precision, and Production
Planning

Zhaolin Li1
1
The University of Sydney, Australia



Stochastic P-hub Center Covering
Problem with Delivery Time
Constraint

Constitution and Evaluation ofWaste Electric and Electronic
Equipment Reverse Logistics
Capability

Jianchang Liu1, Hua Zhong1, Wenjing
Wei1
1
Beijing Institute of Technology, China

Mahdi Bashiri1, Somayeh Mehrabi1
1
Shahed University, Iran

Optimal Single-Period Inventory
Financing Decisions with
Stochastic Demand
Jiayan Xu1, Ke Fu1
1
Sun Yat-sen University, China

Production Planning & Control (2)Production Planning & Control (3)Production Planning & Control (4)9/12/2010 11:00 - 12:30
Room: NAPLES 2602

9/12/2010 13:30 - 15:00
Room: NAPLES 2602

9/12/2010 15:30 - 17:15
Room: NAPLES 2602

Chairs:Chairs:Chairs:Carman Ka Man Lee
Junqiang Wang

Abstracts: see page 84
An Efficient Heuristic toSequence Mixed-Model
Assembly Lines

Abstracts: see page 85
Rico Gujjula1, Hans-Otto Guenther1
1
Technical University Berlin, Germany

Human-computer Collaborative
Approach to Subassembly
Planning of Complex ProductMulti-bottleneck Permutation
Flow-shop Scheduling Driven by
Bottleneck

Order-Lot Pegging Heuristics for
Minimizing Total Tardiness in a
Semiconductor Wafer Fabrication
Facility
Jae-Gon Kim1, Seung-Kil Lim2, SangOh
Shim3, SeongWoo Choi4
1
University of Incheon, South Korea
2
Sungkyul University, South Korea
3
Hanbat National University, South Korea
4
Kyonggi University, South Korea



Linda Zhang1, Qianli Xu2
1
University of Groningen, Netherlands
2Institute for Infocomm Research, A*STAR,
Singapore

A Decentralized VPLs based
Control Policy for Semiconductor
Manufacturing



1







Parallel Machines Schedulingwith Dual Criteria andSequence-dependent Setups:
Cooperative Metaheuristics

A Hybrid Simulated Annealing
for the Single Machine
Capacitated Lot-sizing and
Scheduling Problem with
Sequence-dependent Setup
Times and Costs



Suksan Prombanpong1, Chaiya
Dumkum1, Ekarach Satranonda2
1King Mongkut's University of Technology
Thonburi, Thailand
2
Mitsubishi Motors (Thailand), Thailand

Autonomous Product
Manufacturing Cycle An
Integrated Approach to Process
Planning and Production Control
Katja Windt1, Oliver Jeken1
1
Jacobs University Bremen, Germany

M. Mirabi , Seyyed Mohammad Taghi
Fatemi Ghomi2
1Islamic Azad University, Iran2
Amirkabir University of Technology, Iran

A Fixed Rate Launching of
Mixed-Model Car Sequencing in
the Multiple Assembly Lines

A GA-Based Heuristic Algorithm
for Non-Permutation
Two-Machine Robotic Flow-Shop
Scheduling Problem of
Minimizing Total Weighted
Completion Time
Juntao Li1, Lizhen Zhang1, Chunxia
Shangguan1, Hiroshi Kise2
1
Shanghai Ocean University, China
2
Kyoto Institute of technology, Japan1



Incremental Temporal Reasoning
in Job Shop Scheduling Repair
Yi Huang1, Li Zheng1, Brian Williams2,
Lin Tang1, Huasheng Yang1
1
Tsinghua University, China
2
Massachusetts Institute of Technology,
United States

1

J. Behnamian1, Seyyed Mohammad
Taghi Fatemi Ghomi1
1
Amirkabir University of Technology, Iran

Re-engineering the Forecasting
Phase Using Traditional and Soft
Computing Methods
Massimo Bertolini1, Maurizio
Bevilacqua2, Filippo Emanuele
Ciarapica2
1
University of Parma, Italy
2
Università Politecnica delle Marche, Italy

Shiqing Yao , Zhibin Jiang , Na Li , Ran
Liu1
1
Shanghai Jiao Tong University, China

An MILP Approach To Short-term
Scheduling of an Industrial
Make-and-Pack Production
Facility with Batch Splitting and
Quality Release Times

Solving Production
Reconfiguration based on
Constraint Satisfaction

A Column Generation Heuristic
for Dynamic Capacitated Lot
Sizing with Random Demand
Under a Fillrate Constraint

1

Philipp Baumann1, Norbert Trautmann1
1
University of Bern, Switzerland

Horst Tempelmeier
1
University of Cologne, Germany

Junqiang Wang1, Jianbin Yang1, Jian
Chen1, Songfei Zhang1, Shudong Sun1
1
Northwestern Polytechnical University,
Ministry of Education, China

Hybrid Genetic Algorithm for
Bi-objective Flow Shop
Scheduling Problems with
Re-entrant Jobs

1



Hsuan Pu Chang
Mohammad Mirabi

Abstracts: see page 86

Carman Ka Man Lee1, Danping Lin1
1
Nanyang Technological University,
Singapore

Xiaoyi Wang1, Huifen Wang2
1
Anhui University of Technology, China
2
Nanjing University of Science andTechnology, China



Seyyed Mohammad Taghi
Fatemi Ghomi
Seng Fatt Wong

A Simulated Annealing-based
Approach for Dynamic Facility
Planning

Tzer-Ming Chen1, Ching Chih Chen1,
Shan-Ping Chuang2
1
National Taipei University of Technology,
Taiwan2
Huafan University, Taiwan



A New Numerical Method of
Nonlinear Equations by Four
Order Runge-Kutta Method

Ruitao Lin1, Chan Wang1, Fang Liu1,
Yueliang Xu1
1
Southwest Jiaotong University, China

31

31

31

Service Innovation & Management (3)Operations Research (2)Operations Research (3)9/12/2010 11:00 - 12:30
Room: NAPLES 2701

9/12/2010 13:30 - 15:00
Room: NAPLES 2701

9/12/2010 15:30 - 17:15
Room: NAPLES 2701

Chairs:Chairs:Chairs:Li Yueh Chen
Linda Zhang

Abstracts: see page 87
A Simulation on Impacts of a
Dynamic Pricing Model for
Perishable Foods on Retail
Operations Productivity andCustomer Behaviours

Jaekwon Chung1, Dong Li1
1
University of Liverpool, United Kingdom







Evaluation on the TechnologicalInnovation Capability in
Companies Based on the Network
Xiao-li Chen1, Ralph Riedel1, Egon
Mueller11
Chemnitz University of Technology,
Germany

32

32

32





Generating Large Scale
Undirected Graph for Solving
Flow Network Problems

Process Management Systems
and Public Healthcare in Brazil:
Technology to Improve Service
DeliveryDaniel G. S. dos Santos1
1
CEFET/RJ, Brazil







A Revenue Management Modelin BTO Manufacturing Over an
Infinite Horizon
Li Li1, Zhixiang Chen1
1
Sun Yat-Sen University, China



Simulation Modeling andAnalysis on Asset Planning for
Emergency Medical System(EMS)
Jieping Liu1, Xiaocong Wang1, Ming
Cheng E1
1
Beijing Jiaotong University, China

An Effective Heuristic
Considering Machine Flexibility
for Parallel Machine with
Eligibility Problem
Rong-Hwa Huang1, Tung Han Yu2
1
Fu Jen Catholic University, Taiwan
2
Graduate Institute of Business
Administration, Taiwan



Genetic Algorithm Based
Optimization of an Agent BasedQueuing System
Karthik Sankaranarayanan1, Erik R
Larsen1, Ann Van Ackere2, Carlos
Arturo Delgado2
1
University of Lugano, Switzerland
2
University of Lausanne, Switzerland

Multiplicative Methods for
Entropy Programming Problems
and Their Applications
Yuri Popkov1
1
Institute for Systems Analysis, Russian
Academy of Sciences, Russian Federation

Shin-Guang Chen1
1
Tungnan University, Taiwan

The Impacts of Brand Trust,
Customer Satisfaction, and Brand
Loyalty on Word-of-Mouth
Shu-Hsien Liao1, Yu-Chun Chung1,
Yun-Ru Hung1, Retno Widowati1
1
Tamkang University, Taiwan

The Hierarchical Hub Maximal
Covering Problem with
Determinate Cover Radiuses

Roel Leus
Zhaotong Lian

Abstracts: see page 89

Rashed Sahraeian1, Ehsan Korani1
1
Shahed University, Iran

Applying Adaptive Course
Caching and Presentation
Strategies in M-learning
Environment
Hsuan Pu Chang1
1
Tamkang University, Taiwan



The Application of Lean Concept
Combines Demand Channel andSupply Channel in Service
Industry
Yao-hung Hsieh1, Hsiao-Ching Chen2,
Wei-Lung Chang2
1
China University of Technology, Taiwan
2
Chungyu Institute of Technology, Taiwan



Abstracts: see page 88

Identify Lead Users by Customer
Competence
Guozheng He1, Jianan Yu2
1
Wuhan Textile University, China
2
SAP Labs China, China

Yong-Zai Lu
Kaveh Sheibani

The Fuzzy Greedy Search in
Combinatorial Optimization with
Specific Reference to theTravelling Salesman Problem
Kaveh Sheibani1
1
Iran Telecommunication Research Center,
Iran

Computing Fixed Points of an
Increasing Mapping from a Finite
Lattice Formed by Integer Pointsof a Box into Itself

Chuangyin Dang1
1
City University of Hong Kong, Hong Kong

A Lagrangian Heuristic for a
Dock Assignment Problem with
Trailer Transportation
Lotte Berghman1, Roel Leus1
1
Katholieke Universiteit Leuven, Belgium

Human Factors (3)Quality Control & Management (2)Quality Control & Management (3)9/12/2010 11:00 - 12:30
Room: NAPLES 2601

9/12/2010 13:30 - 15:00
Room: NAPLES 2601

9/12/2010 15:30 - 17:15
Room: NAPLES 2601

Chairs:Chairs:Chairs:Sue Morton
Zhizhong Li

Abstracts: see page 90
Investigation of Ergonomics inAutomotive Assembly Line Using
Jack
Jianwei Niu1, Xiaowei Zhang1, Xin
Zhang2, Linhua Ran2
1
University of Science and Technology
Beijing, China
2
China National Institute ofStandardization, China



Leading a Technical Organization
through Change: A Focus on the
Key Drivers Affecting
Communication
Travesh Ramkhelawan1, Marie-Louise
Barry1
1
University of Pretoria, South Africa



Abstracts: see page 91

A Study of Occupational Stress ofAviation Ground Crews



An Operational Framework in
Forecasting Radical Innovation:
The Case of the CO2-free
Automobile
Jean-Jacques Chanaron1
1
Grenoble Ecole de Management, France

Linear Profile Monitoring Using
an Adaptive EWMA Control
Chart



Monitoring a Process with
Mixed-Type andHigh-Dimensional Data

Xianghui Ning1, Fugee Tsung1
1
Hong Kong University of Science andTechnology, Hong Kong

EWMA Control Chart that
Minimizes the Numbers of
Defectives for Out-of-Control
Cases

Mohammad Shamsuzzaman1, Zhang
Wu2
1
University of Sharjah, United ArabEmirates
2
Nanyang Technological University,
Singapore

Soft Sensor Modeling for Feed
Liquid Viscosity Control for PVC
Gloves Based on BP Neural
Network
Yaoguang Hu1, Cheng Xi1, Xiangmin
Cui1, Ruijun Zhang2, Yan Yan1
1
Beijing Institute of Technology, China
2
Renmin University, China

A Spatial Multivariate Process
Capability Index

Shaoxi Wang1, Arthur Yeh2
1
Northwestern Polytechnical University,
China
2
Bowling Green State University, UnitedStates

Statistical Process Adjustment ofMultivariate Processes with
Minimum Control Efforts
Li Wang1, Kaibo Wang2
1
University of South California, UnitedStates2
Tsinghua University, China



Competitive Analysis in Digital
Electronics Industry of Pakistan

Kinza Nasrullah1, Hira Ali Jamal1,
Muhammad Asim2
1
National University of Sciences andTechnology, Pakistan
2
Center for Advance Studies in Engineering,
Pakistan

Giovanna Capizzi1, Guido Masarotto1
1
University of Padua, Italy

Kuo-Shun Sun1, Yu-Shan Lee1
1
Kainan University, Taiwan

Preliminary Results Concerning
the VSS Xbar Chart with Unknow
In-Control Parameters
Philippe Castagliola1, Ying Zhang2,
Antonio Costa3, Petros Maravelakis4
1
IRCCyN UMR CNRS 6597 & Universite
de Nantes, France
2
IRCCyN UMR CNRS 6597 & Ecole
Centrale de Nantes, France
3
Salo Paulo State University, Brazil
4
University of the Aegean, Greece

Xiaolu Dong1, Zhizhong Li1
1
Tsinghua University, China

A Single Chart for Monitoring
Frequency and Magnitude of
EventsZhang Wu1, Qu Liang1
1
Nanyang Technological University,
Singapore

Human Errors Reliability
Analysis in Coal Mine Accidents
Based on Gray Relational Theory

A Study on Human Redundancy
in Execution of Computerized
Emergency Operating Procedures

An Integrated T and TCUSUM
SchemeKaibo Wang
Yaoguang Hu

Abstracts: see page 92

Liang Qu1
1
Nanyang Technological University,
Singapore

Jianyi Lan1, Meiying Qiao1
1
Henan Polytechnic University, China

Philippe Castagliola
Fugee Tsung

Using Forecasting Technique inQuality Function Deployment to
Facilitate Dynamic Customer
Needs
Liang-Tsung Lin1, Ching-Pou Chang1,
Kuen-Ho Chiang11
Hsiuping Institute of Technology, Taiwan

Quality Computation Model ofComplex Assembling Process
Using Multivariate Process
Capability Index

Yihai He1, Wenbing Chang1, Wei Ping
Mu1
1
Beijing University of Aeronautics andAstronautics, ChinaSWOT Analysis of Mobile
Telecommunications Sector of
Pakistan

Muhammad Bilal Khan1, Muhammad
Asim2
1
National University of Sciences andTechnology, Pakistan
2
Center for Advance Studies in Engineering,
Pakistan

33

33

33

Safety, Security & Risk Management (1)Safety, Security & Risk Management (2)Safety, Security & Risk Management (3)9/12/2010 11:00 - 12:30
Room: SICILY 2502

9/12/2010 13:30 - 15:00
Room: SICILY 2502

9/12/2010 15:30 - 17:15
Room: SICILY 2502

Chairs:Chairs:Chairs:

Sou-Sen Leu
Takashi Hasuike

Abstracts: see page 93


The Role of Safety Leadership in
Improving Organization

Abstracts: see page 94
Minna Paivinen1
1
Safety Technology Authority, FinlandPublic Debt of Medical Security
System: Is China Following in
America's Footsteps?

Oil Sensitivity and Systematic
Risk in China O&G Industry
Stock Indices

Chunhong Li1, Zhongying Qi1, Zhibo
Zhang2, Jie Tang1
1
Harbin Institute of Technology, China
2
China Executive Leadership Academy
Pudong, China







Synergic Mode of Grid-based
Traffic Risk Control in China's
Coastal Waters
Jinpeng Zhang1, Quangen Fang1,
Shenping Hu1
1
Shanghai Maritime University, China



Relative Risk Assessment
Methodology in Vessel Traffic at
Sea

Shenping Hu1, Quangen Fang1, Jinpeng
Zhang1, Yongtao Xi1
1Shanghai Maritime University, China

34

34

34

Applied Real-time Bayesian
Analysis in Forecasting Tunnel
Geological Conditions

Sou-Sen Leu1, Tri Joko1, Abraham
Sutanto1
1
National Taiwan University of Science andTechnology, Taiwan







Workplace Accidents in Finnish
Manufacturing Maintenance

Janne Haatainen1
1
Tampere University of Techology, Finland







A Virtualization Approach forDistributed Resources Security in
Network Manufacturing

Lei Ren1, Yabin Zhang1, Yongliang Luo2,
Lin Zhang1
1
Beijing University of Aeronautics andAstronautics, China
2
Beihang University, China

Necessary Insurance in theService Business of the
Manufacturing Industry

Juha Vasara1
1
Tampere University of Technology, Finland

The Exploration of Instrument ofUsers’ Privacy Concerns of Social
Network Service
Shilei Zheng1, Kun Shi1, Zhu Zeng1,
Qiang Lu1
1
Shenzhen Graduate School, Harbin
Institute of Technology, China

A Reformed Lattice Gas Modeland Its Application in the
Simulation of Evacuation in
Hospital Fire
Weili Zhang1, Zhengyu Yao1
1
Southeast University, China



Orientation and Guidance ofTemporary Agency Workers

Toni Hyytinen1
1
Tampere University of Technology, Finland

Safety Management Problems
Encountered by Industrial Service
Providers
Sanna Nenonen1
1
Tampere University of Technology, Finland

Design of the Late-model Key
Exchange Algorithm Based on the
Polymorphic Cipher
Yifeng Yin1, Yong Gan1, Hongyan Liu2,
Yupu Hu3
1
Zhengzhou University of Light Industry,
China
2
NO.202 Institute of China OrdnanceIndustry, China
3
Xidian University, China

Safety Analysis of theSingle-walled Steel Suspension
Box Cofferdam During
Construction
Zanyun Xu1, Wei Xu1
1Tongji University, China

HFACS Model Based Data
Mining of Human Factors-A
Marine Study

Victor Esteves
Yifeng Yin

Abstracts: see page 95

Yongtao Xi1, Weijiong Chen1, Quangen
Fang1, Shenping Hu1
1
Shanghai Maritime University, China

Shibin Song1, Lizhi Feng1, Xiaojun Xue1,
Mingmei Huang1
1
Sun Yat-sen University, China



Shibin SongI-Tung Yang

Carbon Capture and Geological
Storage - Technologies, Risk
Analysis and Prospects for Use in
BrazilClaudia Morgado1, Victor Esteves11Federal University of Rio de Janeiro, Brazil



A Time-dependent Flow Modelfor Hazmat Transportation
Routing
Hongmei Jia1, Lin Zhang1, Manzhen
Duan1, Gao Fu1
1
Hebei Polytechnic University, China

Project Management (2)Systems Modeling & Simulation (1)Systems Modeling & Simulation (2)9/12/2010 11:00 - 12:30
Room: SICILY 2402

9/12/2010 13:30 - 15:00
Room: SICILY 2402

9/12/2010 15:30 - 17:15
Room: SICILY 2402

Chairs:Chairs:Chairs:Christina Chin May May
Hossam Ismail

Abstracts: see page 96
An Iterative Backward/Forward
Technique for the Scheduling ofResource-Constrained Projects
within Microsoft Project

Abstracts: see page 97
Selecting Subcontractors in
Projects Using a MulticriteriaGroup Decision Model

Luciana Alencar1, Adiel Almeida1
1Federal University of Pernambuco, Brazil



Hossam Ismail1, Mustafa Rashid1, Ping
Zhu1, Jenny Poolton1
1
University of Liverpool, United Kingdom











Performance Evaluation of
Adaptive Cellular Manufacturing
System using Simulation









Aeroengine Modules
Performance Deterioration
Modeling and Assessment

Rui Zhu1, Dezhi Wu1, Zhirong Liu1,
Xinye Wu1, Yinbiao Guo1
1
Xiamen University, China

Modified Max-Plus Linear
Representation for Inserting Time
Buffers
Shotaro Yoshida1, Hirotaka Takahashi2,
Hiroyuki Goto1
1
Nagaoka University of Technology, Japan
2
Yamanashi Eiwa College, Japan

Impact of Bilateral Contracts on
the Price Volatility in theElectricity Market
Guanli Wang1, Hui-Chih Hung1
1
National University of Singapore,
Singapore

Jun Yuan1, Szu Hui Ng1, Kwok-Leung
Tsui2
1
National University of Singapore,
Singapore2
Georgia Institute of Technology, UnitedStates

Designing a Robust andCost-Effective Screening Strategy
for Diabetic Retinopathy Using
Simulation Coupled with Designof Experiments

Irene Vidyanti1, Shinyi Wu1, Carl
Kesselman1
1
University of Southern California, UnitedStatesAnalysis of Check-in Procedure
Using Simulation: a Case Study

Maurizio Bevilacqua1, Filippo Emanuele
Ciarapica1
1
Università Politecnica delle Marche, Italy

Response-based Interactive
Motion Generation

Application of Stochastic
Approximation Methods for
Stochastic Computer Models
Calibration

Existence of Extremal Solutions
for Impulsive Delay Fuzzy
Differential Equations in(E_N^n ,d_L )Young Chel Kwun1, Jeong Soon Kim1, Ja
Hong Koo1, Jin Han Park2
1
Dong-A University, South Korea
2
Pukyong National University, South Korea

Xuelin Huang1, Xiao Song1, GuanghongGong1, Dongming Chen1, Jiajia Li1
1
Beihang University, China

A Support Tool for Assessing the
Impact of Design Changes
During Built Environment
Projects

Helen Hindmarch1, Andrew Gale1,
Robert Harrison2
1
University of Manchester, United Kingdom
2Arup, United Kingdom

Effect of Confidence Interval on
Bottleneck Identification via
Simulation

Jibi Job1, Madhusudanan Pillai2
1
Federal Institute of Science and Technology,
India
2
National Institiute of Technology Calicut,
India

Project Data Warehouse
Management with Multivariate
Analysis

Jui-Sheng Chou1, Hsien-Cheng Tseng2
1
National Taiwan University of Science andTechnology, Taiwan
2
Nissan Taiwan, Taiwan

Chompoonoot Kasemset , Voratas
Kachitvichyanukul2
1
Chiang Mai University, Thailand
2
Asian Institute of Technology, Thailand

Understanding the Requirements
for Project Management Maturity
Models: Awareness of the ICT
Industry in Malaysia
Roslan Jamaluddin1, Christina May
May Chin1, Chan Wai Lee1
1
University of Nottingham, Malaysia

Interpreting the Out of Control
Signals of the Generalized
Variace |S| Control Chart

1

A IDEF0-Based Methodology for
Project Reliability Assessment

Gerardo Avendano
Chuang-Chun Chiou

Abstracts: see page 98

Gerardo Avendano1, Francisco Aparisi2,
Jose Sanz2
1
EAN University, Colombia
2
Polytechnic University of Valencia, Spain

Norbert Trautmann1, Philipp Baumann1
1
University of Bern, SwitzerlandSzu Hui Ng
Young Chel Kwun

Switched Hybrid Speed Control
of Elastic Systems with Backlash
Muhammad Burhan Khan1, Fahad
Mumtaz Malik1, Khalid Munawar1
1
National University of Science andTechnology, Pakistan

Link-16 Model Architecture forMultiple Nets Simulation in NS-2

Zhao-Xiong He1, Xing Liu1, Xue-Min
Liu1, Jinglun Zhou1
1
National University of Defense Technology,
China

35

35

35

Poster Session 2
9/12/2010 All-Day Display
Room: SICILY 2501
p.99

p.100

Study on Comprehensive
Evaluation for Small andMedium Enterprises in
Supply Chain FinanceYi Sun1, Min Liu1, Chaoyong
Zhang2, Liang Gao2, Kunlei Lian1
1
State Key Laboratory of Digital
Manufacturing Equipment andTechnology, China
2
Huazhong University of Science &Technology, China

Ying Chen1, Chen Hong1
1
Shanghai University, China

p.99

Manufacturing Strategies in
the Auto Industry in Brazil
and Spain

p.100

Jose Salles1, Milton Vieira Jr.1,
Rodrigo Vaz1, Rosangela Vanalle1
1
Nove de Julho University, Brazil

p.99

A Fuzzy Integrated
Vendor-Buyer Inventory
Policy of Deteriorating Items
Under Credibility Measure

Simulation Study of
SCM-Related Factors on
Retailer's Performance Using
Structural Equation Model

p.100

Implementing a Green
Manufacturing System Basedon a Novel Assessment Model
Chang-Lin Yang1, Rong-Hwa
Huang1, Min-Sun Wuang1,
Yu-Chun Chen1
1
Fu Jen Catholic University, Taiwan

p.99

p.100

p.100

p.100

p.101

Reinforcement Learning
Based Scheduling in
Semiconductor Final Testingp.101

Zhicong Zhang1
1
Dongguan University of Technology,
China

p.100

A Hybrid Ant Colony
Optimization Method for
Scheduling Batch Processing
Machine in the
Semiconductor
Manufacturing

Chengtao Guo1, Zhibin Jiang1,
Hongtao Hu1
1
Shanghai Jiao Tong University, China

p.100

Agent-Based Scheduling witha Learning Effect Model
C.Y. Lam1, W.H. Ip1, C.H. Wu1, S.L.
Chan1
1
The Hong Kong Polytechnic
University, Hong Kong

36

36

36

p.101

Simulation and Experimental
Verification of Linear
Interpolation Cutter Path
Error Produced by NC Servo
Characteristics of Machining
Centerp.101

A Comparative Study for
Designing Cellular
Manufacturing Systems with
Assembly Aspects by a New
Approach
Jamal Aliabadi1, M.Bahador
Aryanezhad1, Reza
Tavakkoli-Moghaddam2
1
Iran University of Science andTechnology, Iran
2
University of Tehran, Iran

Alleviating Shaft Torsional
Vibrations Caused by Electric
Arc Furnaces for a Low
Capacity Turbine Generator
by Using a Flywheel Coupler
Whei Min Lin1, Chia Chun Tsai1,
Chi Hsiang Lin2, Ta Peng Tsao3
1
National Sun Yat-Sen University,
Taiwan2
Kao-Yuan University, Taiwan
3
National Taipei University ofTechnology, Taiwan

p.102

A New Methodology to
Integrate Human Factors
Analysis and Classification
System with Bayesian
Network

Yanfu Wang1, Shahrzad
Faghihroohi2, Xiu Ming Hu2, Min
Xie2
1
National University of Singapore &China University of Petroleum,
Singapore
2
National University of Singapore,
Singapore

p.102

Effects of Psychological
Empowerment on the
Performance of R&D
Employees: Moderating
Effects of LOC

Yang Di1, Yi Li2
1
Alcartel Lucent Technologies, China
2
Shanghai Univesity, China

p.102

Hua Qiu1, Chao Lin2
1
Kyushu Sangyo University, Japan
2
Chongqing University, China

p.101

A Heuristic Approach forTransportation Planning
Optimization in Container
Yard

Minghua Zhu1, Xiumin Fan1,
Qichang He2
1
Shanghai Jiao Tong University, China
2
Shanghai Key Lab of Advanced
Manufacturing Environment, China

Research on Integrated
Modeling Method forModular Fixture Based on OO
Technology

Jin Cai1, Guolin Duan1, Tao Yao1,
Hongjing Xu1, Xuebin Chen2
1
Hebei University of Technology, China
2
Hebei Polytechnic University, China

An ADT Comprehensive
Evaluation Method Based on
BayesianLizhi Wang1, Tongmin Jiang1,
Xiaoyang Li2, Jingrui zhang1
1
Beijing University of Aeronautics andAstronautics, China
2
Beihang University, China

Armin Sharafi1, Thomas
Wolfenstetter1, Petra Wolf1, Helmut
Krcmar1
1
Technische Universität München,
Germany

Wen-Pai Wang1, Chun-Chih Chiu1
1National Chin-Yi University ofTechnology, Taiwan

p.99

p.101

The Applications of Maximal
Covering Model in Typhoon
Emergency Shelter Location
ProblemComparing ProductDevelopment Models to
Identify Process Coverage andCurrent Gaps: A Literature
Review

Study of the Terminal-Pair
Reliability in Grid Networks
Young C. Park1
1
Baekseok University, South Korea

Anping Pan1
1
Wenzhou University, China

An EMQ Model with
Time-Varying Demand Overthe Product Life Cycle

Toward Managing Demand
Variability by Neuro-fuzzy
Approach

p.101

The Urban Bus Supplier
Selection Aided by AHP and
Additive Scoring Model
Tomasz Blaszczyk1, Tomasz
Wachowicz1
1
Karol Adamiecki University of
Economics, Poland

Kuei-Chen Chiu1, Chun-Wu Yeh2,
Chih-Chiang Fang3
1
Hsing Kuo University ofManagement, Taiwan
2
Kun Shan University, Taiwan
3
Shu-Te University, Taiwan

p.99

GenCos Decision-Making
Constrained by Operational
and Financial Requirements

Prediction of State of User's
Behavior Using Hidden
Markov Model in UbiquitousHome Network
Wonjoon Kang1, Dongkyoo Shine1,
Dongil Shin1
1
Sejong University, South Korea

Guillermo Gutierrez1
1
Instituto Tecnológico de Morelia,
MexicoErkan Bayraktar1, Chang-Ching
Lin2, Kazim Sari3
1
Bahcesehir University, Turkey
2
Tamkang University, Taiwan
3
Beykent University, Turkey

p.99

How Managerial Ties
Influence Firm Performancein China: A Perspective ofSensemaking

p.101

Xue-Feng Zhu1, Yuan-Qiong He1
1
Huazhong University of Science andTechnology, China

Chien-Chung Lo1
1
National United University, Taiwan

p.99

New High Performing Hybrid
Particle Swarm Optimization
for Permutation Flow Shop
Scheduling Problem with
Minimization of Makespan

The Analysis and Design ofUrban Bridge Safety
Early-warning Management
SystemRong Liu1
1
Chongqing Jiaotong University, China

p.102

Pavement Performance
Evaluation Based on Entropy
Weight Radar Chart Theory

Hongyun Yao1, Rongjun Xing1, Pai
Xu1
1
Chongqing Jiaotong University, China

p.102Development of an
Explanatory Model of Cycles
within Development
Processes by Integrating
Process and Context
Perspective

p.103

Research on the Innovation
BT Mode of Urban RailTransit Projects Based on
Project Control Right - A Caseof Shenzhen Metro Line 5

p.103

Chien-Pei Ko1, Chen-Chen Ko2,
Shiu-Chuan Chiu1
1
Ching-Kuo Institute of Managementand Health, Taiwan
2
National Changhua University of
Education, Taiwan

Stefan Langer1, Arne Herberg1,
Klaus Körber1, Udo Lindemann1
1Technische Universitaet Muenchen,
Germanyp.102

Ling Yan1, Yufei Zhao1, Yaling Du1
1
Tianjin University of Technology,
China

p.102

Ideation for the Problem ofComponent Placing

Christine Chou1, Steven
Kimbrough2, Thomas Lee2
1
National Dong Hwa University,
Taiwan2
University of Pennsylvania, UnitedStates

p.102

p.103

Embracing Open Innovation
and Disruptive Innovation as
Strategies for ChineseCompanies

The Moderator Role ofOrganizational Structure andNetwork on International
Entrepreneurship: A Study ofChinese Firms
Hairu Yang1
1
Shanghai Financial College, China

p.104

Cost of Quality Modeling:
Extension and Improvement
Mohamed K. Omar1, Sharmeeni
Murugan1, Nor Akramin Bin
Mohamad1, Mohamad Razali1
1
University Technical Melaka,
Malaysia

p.104

An Automatic Ontology
Building Method with
Case-base in Semantic SOA
Integrated System
Qicheng Zhang1, Lin Zhang2,
Yongliang Luo1, Baolu Wang1
1
Beihang University, China
2
Simulation Center, China

Engaging Employees in
Organizational Commitment:
The Training Quality inIndustrial Management

Internal Customer
Orientation and Internal
Supply Chain Management
Qionglei Yu1, Yi Qiu1, Wei Feng1
1
Zhejiang Gongshang University,
China

p.104

Customer-Supplier
Relationship: a Multicases
Study in the Brazilian
Automotive Industry
Rosangela Vanalle1, Alexandre
Dias1, Jose Salles1
1

Nove de Julho University, Brazil

Jun Jin , Shanchao Wu , Aijun
Ruan2, Xiaomei Wang3
1
Zhejiang University, China
2
Taizhou University, China
3
Zhejiang Forestry College, China
1

p.103

1

Niche Strategy, Interfirm
Network and TechnologicalInnovation of Latecomer
Firms: A Case from China

Lijuan Wu1, Haiting Huang2, Ju Li3,
Xinmin Peng1, Ruiqing Huang1
1
Zhejiang Wanli University, China
2
Zhejiang Textile & Fashion College,
China
3
Zhejiang University, China

p.103

University-Industry
Cooperation and its Impact on
the Innovation Performanceof Firms in China: A
Conceptual Model
Shichao Li1, Jun Su1
1
Tsinghua University, China

p.103

Application of Digital
Watermark Technology forMovie Data in Streaming
Distribution Service

Manabu Hirakawa1, Junichi Ijima1
1
Tokyo Institute of Technology, Japan

p.103

An Objective Measure of Risk
Jiang Hong1, Jian Zhai1
1
Zhejiang University, China

37

37

37

Decision Analysis & Methods (7)Technology &Knowledge Management (7)Intelligent Systems (1)10/12/2010 09:00 - 10:30
Room: NAPLES 2703

10/12/2010 11:00 - 12:30
Room: NAPLES 2703

ŗ0/12/2010 09:00 - 10:30
Room: NAPLES 2603

Chairs:Chairs:Chairs:Hsiao-Min Chuang
Mohammed-Aminu Sanda

Abstracts: see page 105Oligarchic’s Game Equilibrium
Model in Regional Power
Markets with Financial Options

Assignment Problem Formulation
Under Competence andPreference Constraints
Raoudha Mkaouar Hachicha1, El
Mouloudi Dafaoui1, Abderrahman El
Mhamedi1
1
University of Paris 8, France

Selection of Construction Methodfor Large Section Soil Tunnel andAnalysis of Monitoring Results
During Construction Period

Ya Li Xu1, Zeng Rong Liu1, Quan Zhang2
1
Xi'an University of Architecture andTechnology, China
2Longyan Institute of Architectural Design
and Research, China



Visual Knowledge Service
Market for Employment
Information Grid

Science and Technology Map
Analysis of a Multi-Disciplinary
Field Case Study of Aerospace
Engineering

Hiroko Nakamura1, Hajime Sasaki1,
Naoki Shibata1, Yuya Kajikawa1, Ichiro
Sakata1, Shinji Suzuki1
1
The University of Tokyo, Japan

Ying Yang1
1
Donghua University, ChinaThe Role of Organizational
Factors in the International
Technology Transfer Project
Success: An EmpiricalInvestigation

Mohammadreza Taghva , Seyed
Habibollah Tabatabaeian1, Kamal
Mohammadi1
1
Allameh Tabatabaei University, Iran
1

38

38

38



Predicting Customer-supplier
Relationships Using
Network-based Features

Junichiro Mori1, Yuya Kajikawa1, Ichiro
Sakata1, Hisashi Kashima1
1
The University of Tokyo, Japan

Using Constraints Filtering and
Evolutionary Algorithms forInteractive Configuration and
Planning

Paul Pitiot1, Michel Aldanondo1,
Meriem Djefel2, Elise Vareilles1, Paul
Gaborit1, Thierry Coudert3
1
Toulouse University - Mines Albi, France
2
Toulouse University - Mines Albi, INSA,France3
Toulouse University - ENIT / LGP, France

The Representation and Analysis
Methods of Domain Knowledgeof Scientific Research
Organization Based on
Knowledge Network
Ruishen Chen1, Haifeng Zhao1,
Guanwei Huang1
1
Tongji University, China

Decision Making of Facility
Locations Based on Fuzzy
Probability Distribution Function
Pei-Chun Lin1, Shuming Wang1, Junzo
Watada1
1
Waseda University, Japan

Chunlai Chai1
1
Zhejiang GongShang University, ChinaClassifying and Ranking DMUs
of Different Efficiency Levels

Modeling and Simulation of
Operational Decisions in
Manufacturing Enterprises Basedon SD and BSC

The Role of Outbound-Revealing
Open Innovation: Theoretical
Extension and Case Study

Pengfei Wang1, Yisha Zhou1
1
Zhejiang University, China

Gongbing Bi1, Linlin Zhang1
1
University of Science and Technology ofChina, China

Technological Upgrading Path for
Latecomer Firms in Global Value
Chain: The Case of YOUNGOR
from China
Xinmin Peng1, Na Li1, Changjuan
Zheng1, Lijuan Wu1, Ruiqing Huang1
1
Zhejiang Wanli University, China



Suthep Butdee
R. J. Kuo

Abstracts: see page 107

Abstracts: see page 106

Fang Wang1
1
Hunan Agricultural University, ChinaPrattana Punnakitikashem
Yuya Kajikawa

Decision Tree Based Demand
Forecasts for Improving
Inventory Performance
Pradip Kumar Bala1
1
Xavier Institute of Management,
Bhubaneswar, IndiaSVR Sagittal Balance of a Biped
Robot Controlling the Torso andAnkle Joint Angles
J. P. Ferreira1, Manuel Crisóstomo2,
António Coimbra2
1
Superior Institute of Engineering of
Coimbra, Portugal
2
University of Coimbra, Portugal



Fault Detection Methods for
Reconfigurable Manipulators Via
Decentralized Adaptive Fuzzy
Nonlinear Observer
Peng Lu1, Bo Zhao1, Yuanchun Li1
1
Jilin University, China

Intelligent Systems (2)Engineering Economy &Cost Analysis (1)Engineering Economy &Cost Analysis (2)10/12/2010 11:00 - 12:30
Room: NAPLES 2603

10/12/2010 09:00 - 10:30
Room: NAPLES 2702

10/12/2010 11:00 - 12:30
Room: NAPLES 2702

Chairs:Chairs:Chairs:Manuel Crisóstomo
Ichiro Sakata

Abstracts: see page 108Composite Orthonormal Basis for
Person-Independent Facial
Expression Recognition

Abstracts: see page 109

Wenfei Gu1, Y.V. Venkatesh1, Cheng
Xiang1
1
National University of Singapore,
Singapore

An Intelligent Approach of
Obtaining Feasible Machining
Methods and Their Selection
Priorities Based on Features
Using Neural Network

Mixed Signature Descriptor with
Global Invariants for 3D Motion
Trajectory Perception and
Recognition

Jianyu Yang1, Y. F. Li2, Keyi Wang1
1
USTC/Cityu Joint Center, China
2City University of Hong Kong, Hong Kong







Algorithm of an Optimization
Route for Collaborative 2 Swarm
RobotsSynthesizing Judgment Matrix
and Risk-odds Matrix for
Small-sample Combined
Forecasting







Kai Lam1
1
The Chinese University of Hong Kong,
China



A New Approach to Improve
Functionality for Cost Reductionin Construction Project
Shujing Li1
1
Tianjin Institute of Urban Construction,
China

An Extended Pricing Model for
Wireless Oligopolies

Hailing Zhu1, Andre L Nel1, Wimpie
Clarke1
1
University of Johannesburg, South Africa

Particle Swarm Optimization
Algorithm for Optimization of
Utility Systems in Chemical
Processes

Wenzhi Dai1, Lin Mu2, Hongchao Yin2,
Wei-Haur Lam2
1
Dalian University of Technology, Dalian
university of Technology, China
2
Dalian University of Technology, China

Evaluation of TOU Price Based on
Responses of Customer

Analogy in Contemporary
Engineering Economy: Mortgage
Loan and Bond Pricing

Life Cycle Costing Analysis for
Poly-Silicon Photovoltaics
Production Processes in Japan
Toshihiro Inoue1, Yuya Kajikawa1,
Koichi Yamada1
1
The University of Tokyo, Japan

Yu Cheng1, Nana Zhai1
1
North China Electric Power University,
China



Kai Lam
Jean-Jacques Chanaron

Abstracts: see page 110

Li Xie1, Ru-Xiang Wei1, Da-Wei Zhang11Naval University of Engineering, China

Body Sensor Network Based
Prosthesis Training System for
Leg-Amputees

Chenn-Jung Huang1, Chin-Fa Lin1,
Po-Yen Tsai1, Yu-Wu Wang1, Ching-Yu
Li1, Heng-Ming Chen1, Jia-Jian Liao2
1
National Dong Hwa University, Taiwan
2
National Taiwan University, Taiwan

Towards Customer Evaluation
Based Product Performance
Modeling

Chathura Withanage1, Hae-Jin Choi2,
Truong Ton Hien Duc3, Taezoon Park1
1
Nanyang Technological University,
Singapore2
Chung Ang University, South Korea
3Singapore Institute of Manufacturing andTechnology, Singapore

Guang Ru Hua1, Qing Hui Dai1
1
North China Electric Power University,
China



Poul Kyvsgaard Hansen
Songlin Chen

Thermoeconomics Cost Modelingof Marine Gas Turbine
Generating Unit
Youhong Yu1, F.R Sun1
1
Naval University of Engineering, China



New Service Development
Success Factors: A Managerial
Perspective

Dayu Jin1, Kah-Hin Chai1, Kay Chuan
Tan11National University of Singapore,
Singapore

Suthep Butdee1, Kritisak Tangchaidee1
1King Mongkut's University of Technology
North Bangkok, Thailand

39

39

39

Production Planning & Control (5)Systems Modeling & Simulation (3)Service Innovation & Management (4)10/12/2010 09:00 - 10:30
Room: NAPLES 2602

10/12/2010 11:00 - 12:30
Room: NAPLES 2602

10/12/2010 09:00 - 10:30
Room: NAPLES 2701

Chairs:Chairs:Chairs:Jack Su
Radha Ramanan Thiyagarajan

Abstracts: see page 111


The Impact of Product
Proliferation in Reverse Supply
Chain

Abstracts: see page 112
Vincent Huang1, Jack Su1
1
National Tsing Hua University, Taiwan

Performance Evaluation of aMixed-model Assembly Line
with a Bypass Subline Under Line
Stop Condition
Mitsutoshi Kojima1, KenichiNakashima2
1
Nagoya Institute of Technology, Japan
2
Kanagawa University, Japan

Development of a Hybrid Modelfor Manufacturing Cell Formation
Using Linguistic Theory

Novel Approach for Balancing
Manual Automobile Assembly
Based on Genetic Algorithm

Qiuhua Tang1, Zhonghua Xiao1, Yanli
Liang1, Mingxing Deng1, Zhongmin Xi2
1
Wuhan University of Science andTechnology, China
2
Technique Center of Dongfeng Peugeot
Citroen Automobile Company, China



Multi-objective Particle Swarm
Optimization with Negative
Knowledge for U-shaped
Assembly Line Worker Allocation
Problems
Ronnachai Sirovetnukul1, Parames
Chutima2
1
Mahidol University, Thailand
2
Chulalongkorn University, ThailandRisk Analysis and Response for
Flow Construction
Zhiyong Yang1, Zhuofu Wang1,
Bingsheng Liu1, Zurong Chen1
1
Hohai University, China

A Novel Compatible Runtime
Infrastructure under Complex
EnvironmentA Performance Comparison
between the Extended Kanban
Control System (EKCS) and theTraditional Kanban Control
System (TKCS)
Alvin Ang1, Rajesh Piplani1
1
Nanyang Technological University,
Singapore











CAD\CAM System for Formed
Turning Tool Grinding

A Decomposition Based
Algorithm for the Scheduling
Problem in Wafer Fabrication
SystemState Space Model Based
Dimensional Errors Analysis for
Rigid Part in Multistation
Manufacturing Processes

Ying-xue Tong1, Yan Wu1, Bin-kuan Ma2,
Faping Zhang3, Jiping Lu3
1
Sha Shi University, China
2
Information Center of Xi'an Dong Fang
Group Co,Ltd, China
3
Beijing Institute of Technology, China



Hongtao Hu , Zhibin Jiang , Chengtao
Guo1, Ran Liu1
1
Shanghai Jiao Tong University, China
1

Towards a Knowledge-based
Taxonomy for Value Creation
Patterns in Professional Service
Firms: Cases of Law Firms in
People's Republic of China
Jiang Wei1, Jiangqi Zhao1, Yang Liu1
1
Zhejiang University, China

Wei He1, Y. Q. Tan2, Min Ren1
1
University of Electronic Science andTechnology of China, China
2
University of Jilin, China

Enhanced User Experience
Design Based on User Behavior
Data by Using Theory of
Inventive Problem Solving

Song-Kyoo Kim1
1
Samsung Electronics Co., Ltd, South Korea

Production Simulation using aDistributed Node-Aware System
Haw-Ching Yang1, Z.-B. Wang1, J.-S.
Peng1
1
National Kaohsiung First University of
Science and Technology, Taiwan

The Mediating Role of Incubator
Capability for the Relationshipbetween Incubator Resources andIncubator Performance
Yanjie Li1, Dechang Lin1, Hongwei
Wang2, Qiang Lu1, Hong Yin1
1
Shenzhen Graduate School, Harbin
Institute of Technology, China
2
Nanshan Technology Venture Service
Center, China

A Reflective Memory Network
Based Runtime Infrastructure

Xin Chen1, WenHui Fan1, Yingchao Yue1
1
Tsinghua University, China



Bingwen Yan
Hongyi Sun

Abstracts: see page 113

Yingchao Yue1, Tiaoyuan Xiao1, Wenhui
Fan1, Shucai Tang1, Xin Chen1
1
Tsinghua University, China

Nirjhar Roy1
1
M.N. National Institute of Technology,
India



Young Chel Kwun
Dong Li1

Measuring After-sales Service
Quality in Automobile Retails: an
Application of the SERVQUAL
Instruments
Bingwen Yan1, Patrick McLaren1
1
Cape Peninsula University of Technology,
South Africa



Quality Function Deployment of
Cement Industry in Pakistan

Khazal Dar1, Muhammad Usama
Shairi1, Muhammad Asim2
1
National University of Sciences andTechnology, Pakistan
2
Center for Advance Studies in Engineering,
Pakistan

40

40

40

Operations Research (4)Quality Control & Management (4)Eco-system and New Business Model

10/12/2010 11:00 - 12:30
Room: NAPLES 2701

10/12/2010 09:00 - 10:30
Room: NAPLES 2601

10/12/2010 11:00 - 12:30
Room: NAPLES 2601

Chairs:Chairs:Chairs:Rashed Sahraeian
Xiaoming Liu

Abstracts: see page 114

A Multi-Period Return-Risk
Measure Portfolio Optimization
Problem Incorporating Risk
Strategies

Hossein Parsa1, Mingzhou Jin2, Xuechun
Liang3
1
Mississippi State Uni, United States
2
Mississippi State University, United States
3
Nanjing University of Technology, China







A Weighting Scheme and a Model
for Computing Alternative Pareto
Optimal Solutions of Multi
Objective Linear Programming
Problems

Evaluation of the Solution for an
Optimal Shelf Allocation for SPA
Retailers









Scheduling and Planning theOutbound Baggage Process at
International Airports
Markus Frey1, Christian Artigues2,
Rainer Kolisch1, Pierre Lopez2
1
Technische Universität München,
Germany
2
Université de Toulouse, FranceSWOT Analysis and the Key
Driving Factors as an Indicator of
the Current Situation of CNG
Industry of Pakistan

Chen-Yang Shih , PeiWen Liao ,Chung-Hsiung Fang1
1
National Taiwan Normal University,
Taiwan1

Shervin Asadzadeh1, Abdollah Aghaie1,
Yaser Samimi1
1
K.N. Toosi University of Technology, Iran

From Value Chain, Supply
Network, Towards Business
Ecosystem (BE): Evaluating the BE
Concept's Implications to
Emerging Industrial Demand
Ke Rong1, Jie Hou2, Yongjiang Shi1,
Qiang Lu2
1
University of Cambridge, United Kingdom
2
Shenzhen Graduate School, Harbin
Institute of Technology, China



Renew Business Ecosystem: A
Comparison Study between
Traditional and Shanzhai
network

Ke Rong1, Yongjiang Shi1
1
University of Cambridge, United Kingdom

1

Multistage Process Monitoring
Using Survival Analysis
Regression Models

Critical Factors for Technology
Roadmapping: Case Studies

Jie Hou1, Qiang Lu1, Yongjiang Shi2, Ke
Rong2, Qun Lei3
1
Shenzhen Graduate School, Harbin
Institute of Technology, China
2
University of Cambridge, United Kingdom
3
Han's Laser Company, China

Applying Fast Fourier Transform(FFT) to Statistic Quality Control

An Evaluation of the Relationship
Between Emotional Labor andVolunteers’ Positive Affective
Delivery: In Non-Profit
Organizations in Taiwan

Illustrating the Concept ofBusiness Ecosystem from Views
of Bionics and Competitive
Network and Related Theories

Jie Hou1, Qiang Lu1, Yongjiang Shi2, Ke
Rong2
1
Shenzhen Graduate School, Harbin
Institute of Technology, China
2
University of Cambridge, United Kingdom

Sahar Tanveer1, Muhammad Asim2
1
National University of Sciences andTechnology, Pakistan
2
Center for Advance Studies in Engineering,
Pakistan

NonLinear Quintic Schrodinger
Equationswith Complex Intial
Conditions, Limited Time
Response
Magdy El Tawil1, Hanafy El Zoheiry1,
Sherif E. Nasr2
1
Cairo University, Egypt
2
Fayoum University, Egypt

Generic Compliance Check Tool
in Examining the Conformity ofCompany-Specific Standards to
Public Standards

Youxiang Cui1, Jianxin You1, Feng Luo1
1
Tongji University, China

Takuya Suganuma1, Hiroyuki Goto1
1
Nagaoka University of Technology, Japan

Karen Tso-Sutter1, Lars Karg1
1
SAP Research, Germany

Yashar Maali1, Nezam Mahdavi-Amiri2
1
University of Technology, Sydney,
Australia
2
Sharif University of Technology, Iran

Quality Control via Simplex
Search-Based Model Free
Optimization for Injection
Molding

Xiangsong Kong1, Zhijiang Shao1, Xi
Chen1
1Zhejiang University, China



Qiang Lu
Yongjiang Shi

Abstracts: see page 116

Abstracts: see page 115

A Nested Genetic Optimization
Algorithm for the Capacitated
Facility Location Problem

Shan Huen Huang1, Pei Chun Lin2, Hou
Ip Chan2
1
National Kaohsiung First University of
Science and Technology, Taiwan
2
National Cheng Kung University, Taiwan

Caiwen Zhang
Shaoxi Wang

Shanzhai (山寨) Manufacturing
and its Network Behaviors

Yongjiang Shi1, Ke Rong1
1
University of Cambridge, United Kingdom



A New Operations Model of
Logistics Service Providers:
Evidence from EA Company

Xiaoling Zhang1, Qiang Lu1, Cai Wen
Zhang2
1
Shenzhen Graduate School, Harbin
Institute of Technology, China
2
Sun Yat-sen University, China

41

41

41

Reliability &Maintenance Engineering (2)Reliability &Maintenance Engineering (3)Global Manufacturing &Management (1)

10/12/2010 09:00 - 10:30
Room: SICILY 2502

10/12/2010 11:00 - 12:30
Room: SICILY 2502

10/12/2010 09:00 - 10:30
Room: SICILY 2402

Chairs:Chairs:Chairs:Zhixin Yang
Young C. Park

Abstracts: see page 117

Abstracts: see page 118

Recent Trends in Systems
Performance Monitoring &Failure Diagnosis



K P Ramachandran1, Khalid Fathi1, B K
Nagaraja Rao2
1
Caledonian College of Engineering, Oman
2
COMADEM International, United
KingdomEnergy Consumption Modelingfor Machine Tools After
Preventive MaintenanceReliability Optimization Modelof Standby Phased-mission
Systems Based on BDDBoundary-approaching Particle
Swarm Optimization in
Reliability-based Design
Optimization

An Imperfect Process Strategy fora Repairable Product with
Production Correction and
Maintenance

Gwo-Liang Liao , Yar-Tin Chang ,Bor-Ling Shaw3, Hung Yu Huang1
1
National Taitung University, Taiwan
2Tian-Mu Junior High School, Taiwan
3
China University of Science & Technology,
Taiwan1

Ping Jiang1, Ming Zuo2, Jae-Hak Lim3,
Bo Guo11
National University of Defense Technology,
China
2
University of Alberta, Canada
3
Hanbat National University, South Korea

42

42

42

Improving Healthcare Reliability
by Integrating Six-sigma in a
Business Process Modeling andAnalysis Strategy

Optimal Maintenance Policy for
Three-States POMDP with
Quality Measurement Errors
Mohammad AlDurgam1, Salih O.
Duffuaa1
1
King Fahd University of Petroleum andMinerals, Saudi Arabia

Application of Accelerated
Failure Model for Oil and Gas
Industry in Arctic Region

Abbas Barabadi1, Javad Barabady1, Tore
Markeset2
1
University of Tromsø, Norway
2
University of Stavanger, Norway

2

A General Framework to Make A
Sequential Preventive
Maintenances Decision Using
Proportional Hazards Model(PHM)

Machine Condition Monitoringand Fault Diagnosis based on
Support Vector MachineThe Investigation on Research
Opportunities for the
Applications of the Internet ofThings in Semiconductor Wafer
Fabrication
Yong-Zai Lu1
1
Zhejiang University, China

Engineering Portal with
Coordination Mechanism for
Collaborative ProductDevelopment
Zhixin Yang1, Jie Zhou1
1
University of Macau, Macau

Analysis of Green ProductKnowledge, Green Behavior andGreen Consumers of IndonesianStudents (Case Study for
Universities in Surabaya)
Togar Panjaitan1, I Nyoman Sutapa1
1Petra Christian University, Indonesia



Job Characteristics, Work
Commitments, and Job
Satisfaction of the Thai Workers
in Taiwan
PeiWen Liao1, FurHsing Wen2,
Chin-Cheh Yu1
1
National Taiwan Normal University,
Taiwan2
Soochow University, Taiwan

Assurance Technologies forElectric Point Machine Controlled
by Optical LAN
Yoshiyuki Hirano1, Gen Kogure1,
Shinichi Ryoki1, Tadao Miura1, Takashi
Kunifuji1, Yuichiro Den1
1
East Japan Railway Company, Japan

Implementation Framework for
Collaboration in a
Non-Hierarchical BusinessNetworkAhm Shamsuzzoha1, Timo
Kankaanpää1, Luis Carneiro2, Petri
Helo1
1
University of Vaasa, Finland
2
INESC-Porto, Portugal

Zied Ben Atallah1, Amar Ramudhin11École de Technologie Supérieure, Canada

I-Tung Yang1, Yi-Hung Hsieh1
1National Taiwan University of Science andTechnology, Taiwan

Jianhua Zhong1, Zhixin Yang1, Seng Fat
Wong1
1
University of Macau, Macau

Tao Hu1, Jian Yu1, Jian-Jun Yang1,
Ming-en Sheng2
1
Naval University of Engineering, China
2
Naval 702 Factory, China

Reliability Model ofMultiplatform Phased Mission
System Based on CPN

Yong-Zai Lu
Sue Morton

Abstracts: see page 119

Chun-Hui Yang1, Jian-Jun Yang1, Peng
Dong1, Ming Li2
1
Naval University of Engineering, China
2
China Shipbuilding Industry Corporation,
China

Jihong Yan1, Dingguo Hua1
1
Harbin Institute of Technology, China



Ramachandran K P
Mohammad AlDurgam

Flexible Management of Resource
Service Composition in Cloud
Manufacturing
Lin Zhang1, Hua Guo1, Fei Tao1,
Yongliang Luo1, Nan Si1
1
Beihang University, China

Global Manufacturing &Management (2)10/12/2010 11:00 - 12:30
Room: SICILY 2402
Chairs:Anil Varma
Ahm Shamsuzzoha

Abstracts: see page 120A Measure to Estimate theNovelty of Component
Combinations in Technologies
Toru Takahashi1, Tomoko Saiki1
1
Tokyo Institute of Technology, Japan

Green Manufacturing Using
Integrated Decision Tools

Clifford Chan1, K.M. Yu2, K.L. Yung2
1
Queensland University of Technology,
Australia
2
Hong Kong Polytechnic University, HongKong

Partner Selection of Chinese
Firms’ in Cross-boarder M&A:
Perspectives From
Complementary Assets andGlobal Value Chain
Xiaobo Wu1, Xi Yang1
1
Zhejiang University, ChinaStudy on The Utility Model andUtility Equilibrium of Resource
Service Transaction in Cloud
Manufacturing

Ying Cheng1, Fei Tao1, Lin Zhang1, G. H.
Xi2, D. Zhao3
1
Beihang University, China
2
Wuhan University of Technology, China
3
The University of Michigan-Dearborn,
United StatesMulti-layer Analysis ofRelationships within Production
Networks: A Case Study of the
Huangyan Mould Cluster in
China
Lubin Wu1, Yongyi Shou1
1
Zhejiang University, China

43

43

43

Poster Session 3
10/12/2010 All-Day Display
Room: SICILY 2501
p.121

Elucidating the Supplier
Integration Spectrum on
Strategic Supplier Selection
Problem Using an Integrated
Fuzzy Approach

Chun-Ying Shen1, Kun-Tzu Yu2,
Chi-Ho Chiou1
1
Ching Yun University, Taiwan
2
Tzu Chi College of Technology, Taiwan

p.121

A System Dynamic Model for
an Open-loop Reverse
Logistic Channel
Chuang-Chun Chiou1
1Dayeh University, Taiwan

p.121

Study of the Performance ofReverse Logistics for Supply
Chain Management

Chia-Ching Tu1, Shu Hsuan
Chang1, Chia-Jung Tu2, Andrew C.
H. Lee31
National Changhua University of
Education, Taiwan
2
Kainai University, Taiwan
3
Chihlee Institute of Technology,
Taiwanp.121

Clustering Spanish
Households E-Waste Disposal
Behavior Using
Self-Organizing Feature Maps
Sebastián Lozano1, Jorge Esparza1,
Belarmino Adenso-Díaz2, José
Manuel García1
1
Universidad de Sevilla, Spain
2
Universidad de Oviedo, Spain

p.121

p.121

p.122

Impact of Financial Crisis on
Performance of Listed
Logistics Companies:
Evidence from China

p.122

Optimizing Feeder
Arrangement of a PCB
Assembly Machine forMultiple Boards

Yongzhong Wu1, Ping Ji2
1
South China University of Technology,
China
2
The Hong Kong Polytechnic
University, Hong Kong

p.122

Study on Subsidy Policies ofWaste Recycling
Tao Zhao1, Mali Zong1
1
Tianjin University, China

44

44

44

Empirical Research on the
Relationship Between
Managerial Ownership andEarnings Quality in China

p.122

Real-Time Scheduling
Method for
Steelmaking-Continuous
Casting

Kai Chen1, Zhong Zheng1, Yi Liu1,
Xiaoqiang Gao1
1
Chongqing University, China

p.122

p.123

p.123

p.123

Prediction of Service Life ofPre-stressed Concrete Bridgeby Fault Tree Analysis Model

p.123

Risk Evaluation of NC
Machine Tools Based on
Fuzzy Weighted Geometric
Mean
Guixiang Shen1, Shaohua Fan1,
Yingzhi Zhang1, LingHui Wei1,
YaZhou Jia1
1
Jilin University, China

p.123

p.124

p.123

Reliability Assessment for
Product with Wiener Process
Degradation Based on Marker
Data
Baohua Peng1, Jinglun Zhou1
1
National University of Defense
Technology, China

p.123

Using Evidential Reasoning
Approach for Ship Turbine

Rajesh Prabhu Gaonkar1, Min Xie1,
Verma A.K.2, Rui Peng1
1
National University of Singapore,
Singapore
2
Indian Institute of Technology
Bombay, India

Applying Spatiotemporal ICA
with DEA Approach in
Evaluating the Training
Institution Efficiency of the
Semiconductor Institute
Program in Taiwan
Cheng-Chin Lu1, Ling-Jing Kao1,
Chih Chou Chiu1
1National Taipei University ofTechnology, Taiwan

p.124

An Outdoor Navigation Aid
System for the Visually
Impaired

Jie Xu1, Zhigang Fang1, Danhuang
Dong2, Feng Zhou3
1
Zhejiang University City College,
China
2
Zhejiang University, China
3
Nanyang Technological University,
Singapore

Study on the Integral
Reliability of Jinping First
Stage High Arch
Dam-Foundation System

Yazhou Jiang1, Lanyu Xu2, Qingwen
Ren1, Wei Xu1
1
Hohai University, China
2
Nanjing Yangtze Water Resources
Automation Technology Development
Company, China

A New Heuristic Method
Combined with Lagrangian
Relaxation Algorithm for
Hybrid Flow Shop Problem
Xuanhao Zhou1, Yong-Zai Lu1
1
Zhejiang University, China

Xiongjun He1, Phan Anh Nguyen1
1
Wuhan University of Technology,
China

p.122

Asset and Liability
Management for Exponential
Utility Preference in an
Incomplete Market: The
Martingale Approach

Hao Chang1, Xi-min Rong2, Hui
Zhao2
1
Tianjin Polytechnic University, China
2
Tianjin University, China

Junbo Wan1, Tongmin Jiang1,
Xiaoyang Li1, Xi Liu1
1
Beihang University, China

p.122

Profitability Evaluation of
Cross-Industry CanadianCompanies using Data
Envelopment Analysis
Zijiang Yang1
1
York University, Canada

Effective Design ofProduction Systems

A Comprehensive
Assessment Method for
Reliability Enhancement
Testing Based on D-S Theoryof Evidence

Crossover Based on RoughSets - a Case ofMultidimensional Knapsack
Problem
Hsu-Hao Yang1, Ming-Tsung
Wang1, Yen-Ju Chen1, Yen-Sheng
Huang1, Chia-Jung Kao1
1
National Chinyi University ofTechnology, Taiwan

Vladimir Srajer1, Antonin Miller1
1
University of West Bohemia, Czech
Republic

p.122

Improvement of Thermal
Growth Compensation forMotorized Spindles

Kun-Fang Huang1, Yu-Ling Juan1,
Chia-Hui Tang1, Ching-Feng
Chang1, Tsair-Rong Chang1
1
National Changhua University of
Education, Taiwan

Influence Factor Analysis of
Product Development Process
Kunlun Zhang1, Bo Guo1
1
National University of Defense
Technology, China

Xin Li1, Xiaobo Zhu2
1
Chongqing University of Technology,
China
2
Bridgestone Europe NV/SA (Belgium),
Belgium

p.121

p.123

Zhijun Zhang1, Zushan Wang1
1
Wuhan Institute of Technology, China

Measurement of theIntegration Level of Supply
Chain Based on Complex
Network
Bo Shu1, Hao Chen1
1
Yanshan University, China

Linguistic Set-Valued
Decision Making Based on
LWA Operator
Xuezheng Zhang1, Qian Zhu1,
Zheng Pei1
1
University of Xihua, China

Multiobjective Hybrid
Genetic Algorithm for
Reverse Logistics Network
Design of Inventory Systems
with Backordering
Jeong-Eun Lee1, Kyong-Gu Rhee2,
Hee-Hyol Lee1
1
Waseda University, Japan
2
Dongeui University, South Korea

p.121

p.122

p.124

Operator Situation Awareness
Assessment Model in a
Nuclear Power Plant
Licao Dai1, Pengcheng Li1, Li
Zhang1
1
University of South China, China

p.124

A Ergonomics Evaluation
Hierarchy for the TypicalManually Controlled Devices
in Spaceflight

Yan Zhao1, Li Ding2, Dongxu Li1,
Wei Qie3
1
National University of Defense
Technology, China
2
Beijing University of Aeronautics andAstronautics, China
3
China Astronaut Research andTraining Center, China

p.124

Astronaut Physical Load
Research and Applications

Yan Zhao1, Dongxu Li1, Xiaoqian
Chen1, Wei Qie2
1
National University of Defense
Technology, China
2
China Astronaut Research andTraining Center, China

p.124

p.125

Aimin Zeng1
1
Zhejiang Gongshang University,
China

p.125

The Research on the
Human-Machine Interface
Performance Evaluation
System for Cannon

On Non-parametric Approachfor Asia-Pacific International
Airportsp.126

Hsu-Hao Yang1, Chen-Min Chan1,
Yen-Ju Chen1, Yen-Sheng Huang1,
Chia-Jung Kao1
1
National Chinyi University ofTechnology, Taiwan

p.124

Standard Activity
Measurement Plan

Study on the Economic
Externality of Green Building
Hui Ma1, Jianting Wang1
1
Tianjin Institute of Urban
Construction, China

p.125

Strategic Management andActivity-Based Costing

Romeo Manalo1, Marivic Manalo2
1
Manila Electric Company, Philippines
2
De La Salle University, Philippines

p.125

p.126

p.125

Research on Integration of
Virtual Reality and Other
Library Systems Based on
Hierarchical Model

Changzhen Shang1, Yanqiu Xiao1
1
Zhengzhou University of Light
Industry, China

p.125

An Ontology-based
Environment for Effective
Collaborative and Concurrent
Process Engineering
Andreas Wiesner1, Arno Saxena1,
Wolfgang Marquardt1
1
RWTH Aachen University, Germany

p.126

Convexity of Fuzzy Sets fromthe Viewpoint of Fuzzy Logic

Xiaodong Pan1, Dan Meng2, Y. Xu1
1Southwest Jiaotong University, China
2Southwestern University of Financeand Ecnomics, China

p.126

Market Reactions to Financial
Restatement - Evidence from
Chinese Stock Market
Zhaohui Zhu1, Chengwei Hu2
1
Zhejiang Gongshang University,
China2
People's Bank of China, China

Linking Technological
Regime to EnterpriseInnovation Strategy

Jin Chen1, Yisha Zhou1, Pengfei
Wang1
1
Zhejiang University, China

Competency-Based
Compensation and Equitable
Profit Sharing

Romeo Manalo1, Marivic Manalo2
1
Manila Electric Company, Philippines
2
De La Salle University, Philippines

Romeo Manalo1, Marivic Manalo2
1
Manila Electric Company, Philippines
2
De La Salle University, Philippines

p.125

Selecting Criterion ofMultivariate Copula Based on
the Conditional Probability
Integral Transformation
Zongrun Wang1, Wuchao Wang1,
Yanbo Jin2
1
Central South University, China
2
California State University, UnitedStatesMin-xia Liu1, Qing Xue1, Li Jiao1
1
Beijing Institute of Technology, China

p.124

A Study on Firms' Investment
Behavior during Financial
Crisisp.126

Requirements Establishment
for Complex ProductDevelopment Using
Value-Focused Thinking

Xinwei Zhang1, Guillaume Auriol1,
Claude Baron1
1
University of Toulouse, France

Development of an
Hemodialysis Simulator forInterdisciplinary Learning

Mu-Hui Lai1, Hwa-Ming Nieh2,
Tun-Ping Teng3, Jiann-Jyh Chen1,
Yi-You Huang4, Yu-Cheng Lu5
1
Nei-Hu Vocational High School,
Taiwan2
Minghsin University of Science andTechnology, Taiwan
3
National Taiwan Normal University,
Taiwan4
National Taiwan University, Taiwan
5
National Taipei University ofTechnology, Taiwan

p.125

Optimal Dynamic Hedging ofElectricity Futures Based on
Copula-GARCH Models

Sidong Liu1, Jinbao Jian1, Ruanyuan
Wang1
1
Guangxi University, China

45

45

45

Abstracts
Session
Date
Time
Room
Chairs

Decision Analysis & Methods (1)8/12/2010
11:00 - 12:30
NAPLES 2703
Krzysztof Ostaszewski; Mubarak Almutairi

Pricing Insurance Contracts and Determining Optimal Capital of
Insurers
Hong Mao1, Krzysztof Ostaszewski2
1
Shanghai Second Polytechnic University, China
2
Illinois State University, United States

In this paper, we extend Kliger and Levikson’s approach for
pricing insurance contracts by considering the influence of level ofcapital held on the price of insurance contracts, and we discuss
determination of optimal capital level for an insurer. The results of
our analysis show that the optimal number of insured, themaximum value of expected profit increase, optimal premium(price), and the optimal probability of insolvency decrease under
the condition of optimal capital level. We also extend the above
approach to multiline cases and determine optimal numbers ofpolicies, prices and capital allocation strategy for multi-line
insurance contracts.
Two-Decision-Maker Cooperative Games with Fuzzy
Preferences
Mubarak Almutairi1
1
Hafr Albatin Community College, Saudi Arabia

In game theory, two or more parties need to make decisions withfully or partially conflicting objectives. In situations wherereaching a more favourable outcome depends upon cooperation
between the two conflicting parties, some of the mental andsubjective attitudes of the decision makers must be considered.
While the decision to cooperate with others bears some risks due touncertainty and loss of control, not cooperating means giving up
potential benefits. In practice, decisions must be made under risk,
uncertainty, and incomplete or fuzzy information. Because it is able
to work well with vague, ambiguous, imprecise, noisy or missing
information, the fuzzy approach is effective for modeling such
multicriteria conflicting situations. The well-known game of
Prisoner's Dilemma, which reflects a basic situation in which one
must decide whether to cooperate or not with a competitor, issystematically solved using a fuzzy approach. The fuzzyprocedure is used to incorporate some of the subjective attitudes ofthe decision makers that are difficult to model using classical gametheory. Furthermore, it permits researchers to consider the
subjective attitudes of the decision makers and make better
decisions in subjective, uncertain, and risky situations.
An Integrated Fuzzy Multi-criteria Decision Making Approachfor Realizing the Practice of Quality Function Deployment
Chih-Hsuan Wang1
1
National Chiao Tung University, Taiwan

In order to avoid fierce price competition, companies intend todifferentiate their product lines and to target specific niche market
segments. However, companies with expending product lines/
families often face the challenge of controlling inventory cost,consistent product quality and good delivery performance. As aresult, the platform based modular design becomes a promising
method to overcome the above-mentioned difficulties. In thispaper, a QFD (quality function deployment) based scheme ispresented to accomplish the following tasks, including prioritizing
customer need for distinct market segments, linking marketingcustomer need with technical design requirement, and seeking an
optimal modular design. In particular, this study integrates the
fuzzy AHP (Analytical Hierarchy Process) and the fuzzy
DEMATEL (DEcision MAking Trial and Evaluation Laboratory) toachieve the goal of marketing-driven product development. An
illustrating example relevant to designing a smart phone is used tovalidate the proposed approach.

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An Empirical Analysis of Elicited Weights in AHP
Céline Verly1, Karim Lidouh1, Yves De Smet1
1
Université Libre de Bruxelles, Belgium

The Analytic Hierarchy Process (AHP) requires the decision makerto provide pairwise comparisons to obtain a complete ranking of
the alternatives. One of the main concerns of this method is related
to the level of consistency needed to produce reliable results. Whenthe decision maker is not consistent enough, resulting scores andweights values are questionable. The aim of this paper is to study
the robustness of AHP regarding the use of the eigenvector
method (to derive weights and scores) and the consequences of
imposing a 9 level ratio-scale. These two points were consideredwhen tackling the problem of weights elicitation for the criteria. To
that aim, we use a simulation approach.
Overall Weighting Equipment EffectivenessRatapol Wudhikarn1
1
Chiang Mai University, Thailand

This research is designed to improve the original Overall
Equipment Effectiveness (OEE). The OEE is the process, in which
acquired to specify an equivalent weight setting of every single
element, even though; each concerning losses are totally different.
Hence, the study proposes a simpler weight setting method, so
called the Rank-Order Centroid (ROC), to identify dissimilarity inweighting each OEE element. The ROC methodology is easier todetermine the weight than the existing weighted OEE method,which is based on an analytical hierarchy process. This newly
calculating methodology is the Overall Weighting Equipment
Effectiveness (OWEE). It is presented and also implemented in afiber cement roof manufacturer. The result granted from OWEE,
however, is different from those of the original OEE and of theexisting weighted OEE.
Diversity of Feature Selection Approaches Combined with
Distinct ClassifiersFeng-Chia Li1, Peng-Kai Wang2, Cho Hua Yeh3
1
Jen Teh Junior College, Taiwan
2
Hwa Hsia College, Taiwan
3
Tsing Hwa University, Taiwan

The credit scoring has been regarded as a critical topic and its
related departments make efforts to collect huge amount of data to
avoid wrong decision. An effective classificatory model will
objectively help managers instead of intuitive experience. This
study proposes five approaches combining with the
back-propagation neural network (BPN) classifier for features
selection that retains sufficient information for classification
purpose. Different credit scoring models are constructed by
selecting attributes with five approaches. Two UCI (University ofCalifornia, Irvine) data sets are chosen to evaluate the accuracy ofvarious hybrid-BPN models. BPN classifier combines withconventional statistical LDA, Decision tree, Rough sets theory,
F-score and Gray relation approaches as features preprocessing
step to optimize feature space by removing both irrelevant andredundant features. In this paper, the procedure of the proposed
approaches will be described and then evaluated by theirperformances. The results are compared in combination with BPN
classifier and nonparametric Wilcoxon signed rank test will beheld to show if there is any significant difference between thesemodels. The result in this study suggests that hybrid credit scoring
approach is mostly robust and effective in finding optimal subsets
and is a promising method to the fields of data mining.

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (2)8/12/2010
13:30 - 15:00
NAPLES 2703
Prasanta Deb, Mei-Chen Lo

A Dynamic Differential Evolution Algorithm for Mixed Logit
Discrete Choice Model Estimation
Songlin Chen1, Youbang Zhang1, Xiaojin Zhang1, Jianxin Jiao2
1
Nanyang Technological University, Singapore
2
Georgia Institute of Technology, United States

The mixed logit (ML) discrete choice model is highly flexible andcapable of modeling complex choice behaviors. A popular method
for estimation of an ML model is through maximization of asimulated likelihood function, which, however, often contains
multiple local optima in a high-dimensional solution space. This
paper reports the development of a dynamic differential evolution(DE) algorithm for the estimation of a general ML model withcorrelated tastes and repeated choices. Compared with thegradient based algorithms that are commonly adopted in literature,
the proposed DE algorithm is less sensitive to the properties of the
distributions assumed and the conditions of initialization, and it ismore robust in converging to near optimal solutions.
A Decision Making Method for Selection of Finish Process for a
Cylindrical Surface
Varinder Singh1, Vishnu Prakash Agarwal2, Prasanta Deb1
1
Bits Pilani K K Birla Goa Campus, India
2
Thapar University, India

In the present paper, fuzzy-scale-based multiple attribute decision
making (MADM-TOPSIS) method has been reported to rank fivedifferent alternative finishing processes for an internal cylindricalsurface through systematic multi-attribute based evaluation. The
mathematical procedure yields a suitability index which is used torank finishing processes. The present TOPSIS-MADM method
indicates that the honing process is the most suitable finishingprocess for the internal cylindrical surfaces whereas on the other
hand, the processes like ultra sonic machining and abrasive flowmachining are not desirable when they are to be considered forfinishing an internal cylindrical surface.
A Decision Analysis on the Optimal Timing Under theUncertain Cost of Urban Logistics
Tyrone T. Lin1, Chun-Chen Shih2
1
National Dong Hwa University, Taiwan
2
National Chengchi University, Taiwan

This paper applies the real options approach to sort out the carbon
management strategies for an urban logistics corporation to reducethe carbon emission, and measures the potential gain or loss under
the green logistics cost concept. Hence, the paper divides different
corporation-level investing circumstances into three stages (i.e., noother change stage, carbon offset stage, and internal system
upgrade stage), and the proposed model tries to point out thethreshold of the stage switching, which can be evaluated by the
optimal timing under the uncertain carbon price. It also can obtain
the potential benefit from strategy execution which is measured by
the determination of the optimal timing and expect the carbon
price under the uncertain cost of urban logistics.

The Decision Analysis of Market Entry with Game Options
Concept
Tyrone T. Lin1, Chia-Fang Wu1
1
National Dong Hwa University, Taiwan

This manuscript introduces the concept of game options pricing
model to build an approach by the decision analysis to create abi-national market and two firm's competitive market entry
behavior. The production system, market entry, and marketingstrategy will face high risk uncertainty in the future; the flexible
management value derived from decision-making is not only
made now, but may be also made in the future. The project value
for the market entry strategy can be evaluated by the real options
approach which combines the mixture strategic game concept so as
to decide the entry threshold, entry timing, and expected potential
market entry value. This game options approach can provide theother concept for the decision analysis in some optimal solutions
which is evaluated by the traditional approach of operational
research.
Using Multiple Criteria Decision Analysis for Supporting
Decisions of Business Process Management
Ana Carolina Campos1, Adiel Almeida1
1Federal University of Pernambuco, Brazil

Many companies are engaged in increasing their productivity andimproving the quality of their products and operations. A means toachieve such improvements is to adopt Business Process
Management practices. Techniques to analyze, evaluate andimprove business processes are deemed Business Process
Modeling. Currently, there are several methodologies andtechniques for modeling to choose from. The business processmodeling method selected for modeling can directly impact on the
result of BPM. Therefore, in order to help both academics andpractitioners, a model is proposed that will sort business processmodeling methods based on the objectives of modeling using the
ELECTRE TRI method. This model can serve as a basis forevaluating modeling methods, and thus act as a guide fororganizations and serve for a pre-analysis that may support future
choice. We use a Product Development process in an automobile
company as an example to demonstrate the model.
Spatial Detection of Manufacturing Shift in Mean
Chen-ju Lin1, Chen-yu Lin1, Yen-ting Chen1
1
Yuan Ze University, Taiwan

The development of Statistical Process Control mostly focuses on
temporal data. Those techniques are not sufficient for analyzing
the manufacturing information embedded with spatial structure.
The monitoring process that treats manufacturing records aspurely multivariate data would miss important information of
spatial relationship among the records. Thus, this paper proposes aspatial-EWMA test procedure to identify process mean shift in aplane. The goal is to analyze whether there is an outbreak cluster in
the investigated area. The proposed method uses relative distancesamong observations to construct test statistics. The observations
which are far away from the outbreak center receive smaller
weights since they tend to be less influential. The simulation
results show that the detection power of the spatial-EWMA test
procedure is preferable to the classical multivariate control chart
like T2 chart even in the high dimensional scenarios.

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Session
Date
Time
Room
Chairs

Decision Analysis & Methods (3)8/12/2010
15:30 - 17:15
NAPLES 2703
Kwa-Sang Chin; Jin Han Park

What Affects the Decision-making Consumers Consumption of
Luxury Goods: An Evidence Case from China
Yong Zhang1, Jikun Fang1, Hao Zhang1, Zheng Cui1, Xiaojuan Fan1
1
Beijing Technology and Business University, China

This research aims to explore the laws governing the drives andmotives of the luxury consumption motivation based on the luxury
and conspicuous theories. Firstly, this research analysis anddiscuss four-dimensionality of conspicuous consumption of luxury
goods of Chinese customers. Then, the authors evaluate the four
factors of influence include luxury brands, patron status, fashions
and experiences, and found that the brand and status symbol
factors had higher influence rate. The conspicuous consumption ofluxury four-dimensional structure within Chinese customers wasverified in this paper.
Analysis of Competitive Advantages - Approach ofTransnational Interregional I-O Table

Mei-Chen Lo1, Toshimasa Osaki2, Martin Drozda3, Gwo-Hshiung Tzeng4
1
National United University, Taiwan
2
Nagoyagakuin University, Japan3
Leibniz University of Hannover, Germany
4
National Chiao Tung University, Taiwan

The basic picture and framework of the Transnational Interregional
Input-Output (I-O) Table cross countries is introduced, andconventional impact analyses will be conducted to capture
cross-border transactions and inter-linkages, from one region toanother region, and vice versa. Also, the relationship between
regional linkages and the import/export trades will be investigated.
The I-O tables-received were used to consider different scenarios of
the regional development such as the well-balanced scenario, theinertia scenario, and the scenario of economic development
followed by loading of idle capacities. The I-O analysis applied toestimate business ecological situation in a region varying the total
output or final demand indices. Instantly, the evaluation of thetotal investments required for nature protection activity is possible
as well. This study also has analyzed FDI strategies via a scenario
of increasing consumption up to normative standards among
population. The simulations were made to estimate multiplicative
effects caused by upsizing industries in the regional economy.
Furthermore, from a macroeconomic perspective, structuralchanges may alter the relationship between the construction sector
and other sectors. With this view, it is possible to explore thecapability of I-O tables in tracking inter-sectoral relationships andexplaining changes in such relationships with respect to structuralchanges. Lessons are expected to be learned from comparing thepatterns of change of one sector of an economy against othersectors.
Advanced Sales and Operations Planning Based on Integrationof Physical and Financial Flows
Jun-Zhong Wang1, Ping-Yu Hsu1
1
National Central University, Taiwan

Traditional sales and operations planning (S&OP) focus onbalancing between supply and demand in a company. It is utilized
to ensure the alignment of plans supporting the business strategic
goal. An obvious drawback of past decision models is lacking inconsidering financial planning. The paper proposes a new global
S&OP planning model integrating financial flows and physicalflows in a company supply chain to evaluate the benefit withvarious scenarios. The feasibility of the proposed model to thefinancial issue is demonstrated with a case study. We discuss thesensitivity of cash flow to the changes of payment terms and credit
limits. The significance of this study is to adopt the integrated
model as a decision support tool thereby enhancing thecoordination between financial and physical activities.

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Ranking of Product Alternatives Based on Customer-Designer
Preferences
Sanjaykumar Gangurde1, Milind Akarte2
1
K.K.Wagh Institute of Engineering Education and Research, India
2
National Institute of Industrial Engineering, India

In this research paper the alternatives of vacuum cleaners areranked using MADM methods such as Simple Additive Weighing(SAW) Method, Weighted Product Method (WPM), Technique forOrder Preference by Similarity to Ideal Solution (TOPSIS) Method,
Modified TOPSIS, Grey Relational Analysis (GRA) and Preference
Ranking Organization Method for Enrichment Evaluations(PROMETHEE). The results of various methods are then compared.
A new approach based on quantitative approach for comparison ofalternatives in case of tie is suggested in this work. It is observedthat this quantitative approach provides better guidelines to thedecision maker, than that provided by qualitative approach
applied by earlier researchers.
A Preliminary Study on Design and Development of
Template-Based for License Plate Recognition System Applying
Artificial Coordinates Auxiliary Techniques
Bih-Yaw Shih1, Chen-Yuan Chen2, Jin-Wei Kuo1, Po-Wei Chen1, Tsung-Hao
Chen3, Po-Hsuan Huang1, Pei-Yin Chung4, Wan-I Lee2
1
National Pingtung University of Education, Taiwan
2
National Kaohsiung First University of Science and Technology, Taiwan
3
Shu-Te University, Taiwan
4
Meiho University, Taiwan

With the rapid improvement of technology and economy, thepercentage of transportation, like automobile, gradually increases.
However, the number of cars increases, the methods ofmanagement stretches lots of problems, such as parking, traffic
and thievery. Hence, Intelligent Transportation System (ITS) havebeen emphasized step by step and set up one after another aroundthe world. In addition, ITS also established in Taiwan on July 20,
1998.
Interactive Permutation Decision Making Based on Genetic
Algorithm
Mahdi Bashiri1, Majid Jalili1
1Shahed University, IranMultiple Attribute Decision Making (MADM) is an important partof decision science which helps us to select a preferred alternative
among many alternatives which are compared with conflicting
criteria. So, many solution approaches have been introduced suchas permutation method; Interactive Simple Additive Weighting
Method (ISAW) an etc. The time of the solution is sensitive to thesize of the problem (numbers of alternatives and criteria), so byusing meta heuristic we are trying to conquer this problem. In
this paper, first we want to find an initial solution withpermutation method based on genetic algorithm then by using
ISAW method we try to propose proper exchanges in each iteration.
By the proposed approach we can find the best permutation ofalternatives by improved Genetic Algorithm.
Finally the
proposed approach will be illustrated more by some numericalexamples.
Coastal Vulnerability to Sea Level Rise: A Spatio-temporal
Decision Making Tool
Oz Sahin1, Sherif Mohamed1
1
Griffith University, Australia

Due to uncertainty in the timing and magnitude of Sea Level Rise
(SLR) impacts, it is difficult to determine whether taking a specificaction to prepare for SLR is justified. The dilemmas confronting
decision makers are: when, where and how to adapt to SLR. To
address these issues, this research introduces a recently developedmodel linking Geographical Information Systems (GIS) with
System Dynamics (SD) modelling to present realistic time series
scenarios of SLR across coastal communities. The hybrid GIS-SD
model provides a multifaceted assessment by going beyond
detailing year specific land use impacts through linking these
outputs with socio-economic SD modules. As a result, the model
provides the potential to address temporal and spatial problems
concurrently. The methodology formulated from this assessment
process, could potentially be utilised by coastal communities to
identify and evaluate effective adaptation alternatives for reducing
SLR impacts, and to inform long-term decision making.

Session
Date
Time
Room
ChairsTechnology & Knowledge Management (1)8/12/2010
11:00 - 12:30
NAPLES 2603
Prattana Punnakitikashem; Poul Kyvsgaard
Hansen

Does Internet Self-Efficacy Affect Knowledge Sharing Behavior?
Pei-Lee Teh1, Jessica Sze-Yin Ho1, Chen-Chen Yong2, Siew-Yong Yew2
1
Multimedia University, Malaysia
2
University of Malaya, Malaysia

There have been many studies for knowledge sharing within theorganizational communities, yet very few research has been doneon the factor of internet self-efficacy affecting the individuals'
knowledge sharing behavior. Drawing from the theory of planned
behavior (TPB), this paper examines the relationships between theinternet self-efficacy, attitude toward knowledge sharing,
subjective norm, perceived behavioral control, intention to shareknowledge, and knowledge sharing behavior. Survey
questionnaires are administered to 301 university students. Results
indicate that the internet self-efficacy significantly affect theattitude toward knowledge sharing. Intention to share knowledge
is predicted with more favorable attitude toward knowledge
sharing, subjective norm, and perceived behavioral control.
Intention to share knowledge also significantly influences theindividuals' actual knowledge sharing behavior. This paper
concludes with a discussion of research implications of the study.
Detecting the Valley of International Academic Collaboration in
Renewable Energy
Hajime Sasaki1, Yuya Kajikawa1, Kenzo Fujisue2, Ichiro Sakata1
1
The University of Tokyo, Japan
2
Waseda University, JapanAn innovation model providing a solution for climate change andsustainable economic growth is required. In this scenario,
renewable energy is one of the most promising technologies. Its
research -requires a considerable amount of R&D expenditure andvarious core technologies. Therefore, international researchcollaboration is effective for prompt and efficient development.
With countries and organizations contributing to the rapid growthof knowledge, the meta-structure of international research andcollaboration has become ambiguous. This paper aims to establish
a knowledgebase that can help prepare international researchcollaboration policies. This paper demonstrates research capacity
and international research collaboration in solar and fuel cell
technologies, using MAPs gathered from 68,000 research papers.
The two technologies are compared and international researchcollaboration is analyzed. A valley of research collaboration in Asiaand a gap between the research collaboration structures of the twotechnologies are identified, and the context of this gap is discussed.
Technology Acquisition in Functional Chemicals - An Empirical
Study on Phase Difference Film
Takashi Yukita1, Hiroshi Osada2
1
Mitsui Chemicals, INC., Japan
2
Tokyo Institute of Technology, JapanFPD films have a large market size in the functional chemicalindustry and it has a great significance to study the method oftechnology acquisition. In this study, we conducted a comparative
research on the technology acquisition method of equivalent
products for each organization with or without raw materials ofphase difference films. The result of this study indicated that no
significant differences were seen for a product development
between with or without raw materials, however during a processdevelopment, it indicated that organizations holding raw materials
had a higher level of technology accumulation during the phase ofa production process and are capable of conducting productdevelopment more effectively.

A Correlation Analysis on Service Innovation and Management
for the International Roaming Inbound BusinessChia-Chi Lee1, Ta-Hui Yang2, Tyrone T. Lin3
1
National Taipei College of Business, Taiwan
2
Chunghwa Telecom Co., Ltd., Taiwan and National Dong Hwa University, Taiwan
3
National Dong Hwa University, Taiwan

This paper analyzes the effects of the service innovation andcustomer relationship management on the international roaming
inbound business performance. One dependent variable is the total
revenues from roaming generated by its top 69 roaming partners.
The independent variables are including the average revenue peruser of roaming partners' customers, the network specificationlevel of roaming partners, the level of high speed downlink packet
access of roaming partners' network, the bilateral roaming services
launched between the case mobile company and roaming partners,
the extent of the discounted inter operator tariff between the casemobile company and roaming partners, and the number of
inbound roaming customers. The empirical results can help thecase mobile company establish concrete standards to measure theoperating performance of roaming business in order to provide abeneficial direction for the future business. Besides, it contributes along-term development of mobile inbound roaming business in the
future.
An Efficient Development Process for an Innovative Transport
Unit

Sebastian Jursch1, Sylwia Jalocha1, Eckart Hauck1, Sabina Jeschke1, Klaus
Henning1
1
RWTH Aachen University, Germany

The development of a MegaSwapBox (MSB), an innovativetransport unit that can transport goods trimodally via rail, roadand waterways (short sea and inland shipping), marks animportant step towards reducing traffic congestion. The successful
development of such an MSB significantly depends on an efficientand economical developing process which allows an effective
development from the first idea up to the construction and testingof a prototype. This paper focuses on the development process ofsuch a MSB. It includes methods like an as-is analysis and arequirement specification. An approach for a structured
development process, as well as a workshop concept that is used
for an effective solution finding are applied. An extended
evaluation of the profitability and usability of possible designs
leads to the construction of a prototype with the suitable design.
This development process will be applied within the TelliBox
project “Intelligent MegaSwapBoxes for Advanced Intermodal
Freight Transport”.
Knowledge Sources, Innovative Activity and the Performance of
UK New Technology Based Firms
Panagiotis Ganotakis1, Jim Love1
1
Aston University, United Kingdom

We present an innovation value chain analysis for a representative
sample of new technology based firms (NTBFs) in the UK. This
involves determining which factors lead to the usage of different
knowledge sources and the relationships that exist between thosesources of knowledge; the effect that each knowledge source has
on innovative activity; and how innovation outputs affect theperformance of NTBFs. We find that internal (i.e. R&D) andexternal knowledge sources are complementary for NTBFs, andthat supply chain linkages have both a direct and indirect effect oninnovation.
NTBFs' skill resources matter throughout theinnovation value chain, being positively associated with external
knowledge linkages and innovation success, and also having a
direct effect on growth independent of the effect on innovation.

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Session
Date
Time
Room
ChairsTechnology & Knowledge Management (2)8/12/2010
13:30 - 15:00
NAPLES 2603
Chui Young Yoon; Panagiotis Ganotakis

Mapping the Relations Between Technology, Product, andService: Case of Apple Inc.
Woori Han1, Yongtae Park1
1
Seoul National University, South Korea

Nowadays, innovations of technologies, products, and services
occur interdependently. Moreover, the innovations are developedby various actors, not by a company alone. Due to the complexityof innovation ecosystem, companies have difficulties in managing
and monitoring its complex and interdependent innovation
ecosystem. In this manner, this paper suggests a comprehensive
network named as "T-P-S map", which is a framework for
exploring the connection of technologies, products, and services.
As an illustration, a case of Apple is represented, illustrating
relationships between the Apple incorporation's patents, productinformation especially iPhone series, and service applications in
the App store. To define the linkages, patent analysis and text
analysis are employed. The resulted network will be interpreted inthree ways and it can give some managerial information.
Create a Proactive Knowledge Sharing Platform ThroughSpecific Supplier Network and Location Investment
Tung-Hsien Chen1
1
National ChengChi University, Taiwan

This paper explore how Taiwan wireless communication
subcontractor improve inter-organization knowledge learningfrom his customer through dedicated supply network investment
and specific location investment, commonly named VMI (Vendor
Managed inventory)
and RMA (ReturnMerchandise
Authorization). The results show, dedicated supply network
investment redirect knowledge flow direction and specific location
investment enhance knowledge flow intensity and variability from
customer to subcontractor. Both have significant contribution on
subcontractor inter-organization learning.
Profiling Chinese Nano-Biomedical Science in a Decade
Ruimin Pei1, Alan Porter2, Peng Gao1
1
Chinese Academy of Sciences, China
2
Georgia Institute of Technology, United States

This paper analyzes nano-biomedical science in China for theperiod 2000-2009 via bibliometrics and tech mining. The article
identifies trends over time, interdisciplinary of nano–biomedical
science and other subjects, journals in which Chinese authors
publish their research, major institutional contributions, andinternational collaborators and collaboration networks in this field.
This paper finds that Chinese NBMS has grown fast in the last ten
years, and has the growth potential via the trend analysis; China
has been one of the cores in NBMS, collaborating with otherprolific countries; Chinese Academy Sciences, Zhejing university,
Tsing Hua university, and Fudan University occupy the leading
positions in the field of NBMS in China; but the distribution of theresearch centers is separated; NBMS is interacted with otherdisciplines like chemistry and physics according to science overlay
maps.

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The Interrelationship Among Learning Environment,
Knowledge Process and New Product Development Performance
Ningning Jing1, Chen Yang11
Hohai University, China

Knowledge process is the core process in new productdevelopment, and is also an organizational learning process whichis affected by learning environment. In this paper, an empiricalresearch was conducted to explore the mechanism and paths of theinteraction among learning environment, knowledge process andnew product development performance. The findings indicate thatthe learning environment is directly and positively related toknowledge process of new product development and thereby
influence the new product development performance; Knowledge
process which acts as the core process in new productdevelopment is directly and positively influence the new productdevelopment performance.
A Method for Assessing Patent Similarity Using Direct andIndirect Citation Links
Hsiao-Chung Wu1, Hung-Yi Chen1, Kung-Yen Lee2, Ying-Chieh Liu1
1
Chaoyang University of Technology, Taiwan
2
National Taiwan University, Taiwan

Assessing patent similarity is a fundamental and critical step inpatent citation analysis. When evaluating a similarity for two
patents, consider both direct and indirect citation links for themleads more precise similarity assessment. This study proposes amethod for assessing patent compound similarity that includes
direct and indirect similarities. Given a direct similarity matrix that
represents a patent citation network, the method calculates indirect
similarity matrices and then obtains a compound similarity matrix.
keyword analysis in the text mining is employed to obtain asimilarity for a pair of patents. In addition, two criterion areproposed for validating the compound similarities for the patentcitation network.
Inter-organizational Knowledge Transfer Effectiveness in New
Technology-Based Firms: A Relational and Empirical View fromSouth Africa
Kai-Ying Chan1, Leon Oerlemans2, Marthinus Pretorius1
1
University of Pretoria, South Africa
2
Tilburg University, Netherlands

The open innovation model often neglects the frictions thatexternal knowledge flows may encounter when crossingorganizational boundaries. This study recognizes three types ofbarriers (organizational, technological similarity and contact
frequency) and investigates the impact of these barriers on
knowledge transfer effectiveness by using data on newtechnology-based firms located in the emerging South African
economy. Empirical results show that these three types of barriers,
which exist in inter-organizational knowledge exchange
relationships, do have an impact on the usefulness of knowledge
received. The findings stress the relevance of a relational approach,as factors derived from it act as barriers to effective knowledgetransfer for small firms.

Session
Date
Time
Room
ChairsTechnology & Knowledge Management (3)8/12/2010
15:30 - 17:15
NAPLES 2603
Dotun Adebanjo; Hung-Yi Chen

Application of Production Management Principles toEngineering Processes: An Explorative Study
Johannes Hinckeldeyn1, Rob Dekkers2, Jochen Kreutzfeldt1
1
Hamburg University of Applied Science, Germany
2
University of the West of Scotland, United Kingdom

The capability to develop high quality products and processes
constitutes the competitive advantage of many engineering
companies. In production management, numerous tools exist for
improving both effectiveness and efficiency. This study explores
the applicability of these production management principles toengineering management. An academic focus group andengineering managers in seven German companies wereinterviewed and the application of several methods was identified.
The outcomes confirm that the application of production
management principles to engineering processes is related to thedegree of novelty that is inherent to engineering projects incompanies. Furthermore, the application of production-based
methods needs to be embedded in a structured engineering
process to be useful in a company. However, most engineering
management approaches focus on effectiveness rather thanefficiency.
Challenges and Approaches to Customer Development in
Co-located High-tech Start-ups
Dotun Adebanjo1
1
University of Liverpool, United Kingdom

The paper presents findings of a study of entrepreneurial start-up
organisations in the ICT sector. The start-up organisations wereco-located in a new business incubator managed by a university inthe north-west of England. The study was aimed at understanding
the factors and approaches that impacted the ability of thestart-ups to manage customer development and, consequently,
generate revenue. A longitudinal case study methodology was
adopted and the case study was split into five mini-studies.
Semi-structured interviews carried out at six-month intervals wereused to generate qualitative data. The study indicated that thestart-ups faced capacity constraint and skills issues that negatively
impacted customer development. In addition, there was noconsensus on the impact of co-location on customer development.
However, there was an indication that incubator managers need toprovide more strategic support for start-ups with respect tocustomer development.
Measuring Individual IT Capability to Efficiently Perform
Business Tasks in an Enterprise IT Environment

Chui Young Yoon1, Jae Soo Yoo2, Young Ju Bae2, Soon Suk Chung2, Ji Chul
You2, Seung Kweon Hong2
1
Chungbuk National University, South Korea
2
Chungju National University, South Korea

An Incremental Approach to Support Realization ofModularization Benefits
Poul Kyvsgaard Hansen1, Hongyi Sun2
1
Aalborg University, Denmark2City University of Hong Kong, Hong Kong

In general, the phenomenon of managing modularization is notwell
known.
The
cause-effectrelationships
betweenmodularization and realized benefits are complex andcomprehensive. Though a number of research works havecontributed to the study of the phenomenon of efficient andeffective modularization management it is far from clarified.
Recognizing the need for further empirical research, we studied 40
modularity cases. Then we develop a research framework with the
purpose of uncovering the current state. Furthermore, we
formulate a tentative model aiming at guiding the platform
management process.
A Framework to Analyze Different Intellectual Property Systems
Jiang Wei1, Xiaolei Kong1
1
Zhejiang University, China

With many intellectual property protection (IPP) strategies tochoose from, firms can protect their intellectual property by using
different intellectual property protection systems (IPS), including
macro-level IPS, micro-level IPS and meso-level IPS. In order tostudy the differences of these systems, we construct a framework
based on governance theory, the framework containing three
dimensions: (1) institutional design of IPS; (2) implementation of
institution; (3) long-term survival and continuation of IPP
institution. Then we conduct a case study to figure out cluster IPP
mode in a cluster of Zhejiang to illustrate our framework at
meso-level.
A Systematic Approach to Design a Knowledge Transfer
Framework for Process Improvement Projects

Charalampos Daniilidis1, Thomas Lamperstorfer1, Rafael Kirschner1,
Andreas Kain1, Udo Lindemann1
1Technische Universitaet Muenchen, Germany

A key factor for a successful organization is the ability to transfer
effectively knowledge for one part of the organization to otherparts. In this way institutional memory is preserved in anenvironment of increased employee turnover and createdknowledge can be used across the organization. Although diverse
studies on the importance of knowledge transfer for a competitive
organization and on key factors for a successful knowledgetransfer can be found in the literature, there is a lack of a pragmatic
stepwise approach to design a knowledge transfer system in an
organization. This paper introduces a systematic approach todesign and set up a knowledge transfer framework for multiple
project environments. Thereby both the transfer and preservationof explicit and tacit knowledge is being discussed. Furthermore, inorder to elaborate the steps of the approach process improvement
projects are used as a case study and a knowledge transfer andpreservation framework is presented which was set up for theInstitute of Product Development.

This study presents a tool for measuring an individual IT
capability to efficiently execute the given tasks on an enterprise IT
environment. We developed the measurement items for anindividual IT capability based on the previous literature. This
research proposed a 13-item scale that can totally measureindividual IT capability through a validity and reliability test. The
developed tool has four measurement factor and thirteen items.
The actual utilization of the tool is confirmed by applying it to acase study.

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Session
Date
Time
Room
ChairsSupply Chain Management (1)8/12/2010
11:00 - 12:30
NAPLES 2702
William Ho; Ruhul Sarker

Strategic Capabilities of Japanese Independent Suppliers
Kiminori Gemba1
1
Ritsumeikan University, Japan

Because of low profitability recently, large manufacturers in Japan
have reduced R&D expenditure, and cannot afford to carry on
long-term continuous trading with small manufacturers. This has
resulted in an R&D shift from large manufacturers to suppliers,
creating a new technological opportunity for the latter. Some ofJapan’s hi-tech small suppliers tried to be independent, and createda new market by developing advanced high technologies. Using
data on patents, this study analyzed the R&D shift from large
manufacturers to suppliers and reviewed trading conditions andthe innovations of Japanese small manufacturing companies.
Moreover, three case studies were conducted on small hi-tech
manufacturers located in Yao city, Osaka prefecture, Japan. The
results show that these companies realized their competitive
advantages by dynamic entrepreneurial management.
A Value-oriented Model for Managing Service Supply Chains
T. He1, William Ho1, X.F. Xu2
1
Aston University, United Kingdom
2
Harbin Institute of Technology, China

Service supply chain (SSC) has attracted more and more attention
from academia and industry. Although there exists extensive
product-based supply chain management models and methods,
they are not applicable to the SSC as the differences between
service and product. Besides, the existing supply chain
management models and methods possess some common
deficiencies. Because of the above reasons, this paper develops anovel value-oriented model for the management of SSC using themodeling methods of E3-value and Use Case Maps (UCMs). Thismodel can not only resolve the problems of applicability andeffectiveness of the existing supply chain management models andmethods, but also answer the questions of 'why the management
model is this?' and 'how to quantify the potential profitability ofthe supply chains?'. Meanwhile, the service business processes of
SSC system can be established using its logic procedure. In
addition, the model can also determine the value and benefits
distribution of the entire service value chain and optimize theoperations management performance of the service supply.
A Recovery Model for an Economic Production Quantity
Problem with Disruption

Hawa Hishamuddin1, Ruhul Sarker1, Daryl Essam1
1
University of New South Wales at the Australian Defence Force Academy,
Australia

Supply chains face risks from various unexpected events that makedisruptions almost inevitable. This paper presents a disruption
recovery model for a single stage production and inventory system,
where the production is disrupted for a given period of time
during the production up time. The developed model is aconstrained nonlinear optimization program which we have
solved using an evolutionary algorithm as well as the LINGO
optimization package. It is shown that the optimal recovery
schedule is dependent on the extent of the disruption, as well as
the cost parameters. The proposed model is seen to be a very
useful tool for manufacturers to make quick decisions on the
optimal recovery plan after the occurrence of a disruption.

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Analysis of Capacity and Cost Heterogeneity in a Vendor Base
Jishnu Hazra1, B. Mahadevan1
1Indian Institute of Management, India

Internet based marketplaces have enabled industrial buyers tolocate suppliers from geographically diverse locations. This has
resulted in increased variations in certain supplier parameters suchas capacity and cost among the participating suppliers. In thispaper we consider two supplier parameters that can affect theprice the buyer pays and the number of suppliers that the buyer
will select for award of contract. These attributes are capacity andproduction cost. We show how the buyer will determine theoptimum number of suppliers using a reverse auction mechanism
when she does not have perfect knowledge of the suppliers’
parameters.
Asset Prioritazation as a Modal Integrator in Organizational
Logistics Activities
Rodrigo Macedo1, Kelly Macedo2, Assed Haddad3
1
Brazilian Army, Brazil
2
Fluminense Federal University, Brazil
3
Federal University of Rio de Janeiro, Brazil

Supply Chain Logistics has been an extensive and increasingly
area of research and development in the late forty years. New
approaches and improved decision making tools are central issues
to address. The Trade-off Matrix and the Prioritization Matrix areimportant tools in the fields of attribute prioritization,
identification and choice. A case study of application of suchtechniques in a military environment is presented. Manager's
Decision Scenario for the Transportation Logistics Operator isdelineated and the associated boarding modal capacity ispresented, as well as, its efficiency and functionality in the cargodetermination process. Several tables and figures illustrate andshow how the Trade-off Matrix was applied and its fairness.
Results from the study case demonstrate also how these two tools
can be adapted for articles choice for shipment according toprevious parameter classification.
Dynamic Multi-modal Transportation Problem
Suk-Chul Rim1, Ikju Jang1
1
Ajou University, South Korea

In recent global business, transportation costs have increased dueto the dispersed location of manufacturing and distribution
facilities all over the world. For longer distances, multi-modaltransportation of roads, rails, ships, and planes is necessary to saveon transportation costs. Given an origin and a destination, multiple
routes are available, with respective lead times and unittransportation costs. In this study, we propose a heuristic solution
procedure for a dynamic multi-modal transportation problem,
where we determine the shipping amount for each route at the
beginning of every period so as to minimize the total cost, while
maintaining a specific level of customer service against the varying
demand for a single product. Computer simulation is used to
explore the behavior of the proposed algorithm.

Session
Date
Time
Room
ChairsSupply Chain Management (2)8/12/2010
13:30 - 15:00
NAPLES 2702
Chun-Mei Lai; Jun-Der Leu

Global Supply Network Configuration Considering theApplication of Free Trade Zones and Industrial Parks: A
Decision Model and Application Case
Yu-Tsung Huang1, Jun-Der Leu1, Chih-Hao Wen1
1
National Central University, Taiwan

Free Trade Zone (FTZ) is a special economic zone that aninternational businesses can apply to optimize its supply network.
Before international businesses apply FTZs, they need to consider
the cargo-flows between their business partners in industrial parks.
In this research, we develop an economics evaluation model for theinternational business using the FTZs. At first, the cargo-flows areanalyzed. Then, these cargo-flows are modeled by the mixed
integer linear programming (MILP) approach. An application of
air-cargo FTZ in Taiwan is given to illustrate the applicability ofthis model. International businesses can utilize this model toevaluate the efficiency and effectiveness of their supply networks
using the FTZs and industrial parks.
Minimizing Bullwhip Effect in Supply Chains

Truong Ton Hien Duc1, Huynh Trung Luong2, Yeong-Dae Kim3
1
Singapore Institute of Manufacturing and Technology, Singapore
2Asian Institute of Technology, Thailand
3
Korea Advanced Institute of Science and Technology, South Korea

In this paper, the bullwhip effect in a two-stage supply chain with
one supplier and two retailers is measured. The customer demandis assumed to be followed an AR(1) model and is forecasted at eachretailer by using the minimum mean square error forecasting
method. In addition, the retailers employ the base stock inventory
policy. Among the findings of this research, it is interesting to notethat the bullwhip effect in supply chains will be minimized as theretailers have the same market share.

A Supply Chain Performance Measurement Improved with
Integrated Methods FDSM, MOO and DEA Part I: A Conceptualof Performance Measurement Framework in Thailand: Frozen
Shrimp Chains
Sirirat Pungchompoo1, Apichat Sopadang1
1
Chiang Mai University, Thailand

Supply chain performance measurement has become a popular
topic. However, the existing performance measure model still lacks
providing interaction aspects of key performance indicators (KPIs)
and measuring. The aim of this paper is therefore to propose theconceptual of performance measurement. It can be categorized into
the five dimensions which are represented in term of Cost,
Flexibility, Responsiveness, Quality, and Innovativeness. For next
research study, after the data collection process, researchers willcalculate and analyze data by using the fuzzy design structure
matrix (FDSM) method for grouping KPIs in term of theinteraction among KPIs.
The Influence of Total Quality Management, Concurrent
Engineering and Knowledge Management in a Semiconductor
Manufacturing Firm
Poh Kiat Ng1, Gerald Guan Gan Goh1, Uchenna Eze1
1
Multimedia University, Malaysia

For many years, total quality management, concurrent engineeringand knowledge management have won considerable attention
from industrial practitioners and academia. However, few studies
have been conducted on the influence of these three practices
among Malaysian manufacturing firms. Hence, the objective of thisstudy is to analyse the influence of TQM, CE and KM on
engineering performance in a Malaysian semiconductor
manufacturing firm. For this study, surveys were used to obtain
empirical data on these three practices. The 226 responses wereanalysed using multiple linear regression analysis. The findings
reveal that TQM, CE and KM significantly influence the firm's
engineering performance with the three predictors explaining up
to 53.9% of the variance in engineering performance. The findingsof this study are useful to managers, engineers and researchers as
it provides insights on specific areas that require adequate
attention to ensure effective engineering performance.

Optimizing Short-Life-Product Replenishment Policy
Considering Random Purchase Cost Increase andIncentive-Dependent Selling Rate
Chun-Jen Chung1, Hui-Ming Wee2
1
Aletheia University, Taiwan
2
Chung Yuan Christian University, Taiwan

To maximize the total revenue and have efficient flow of the
supply chain, enterprises engage in implementing quick response
and reducing uncertainty of business transition. In this paper,
replenishment plan, pricing policy, the effects of scheduling special
sale period and purchase-cost increase announcement and lost saleare considered in deteriorating model over a finite planninghorizon. We provide a comprehensive analysis to derive theoptimal starting time point of special sale, the optimal number ofdeliveries and the optimal selling price for a deteriorating
economic ordering quantity model. The results show that the fixeddemand rate, price-dependent demand, the scale of influence on
price-dependent demand and risk factor of scheduling special sale
are the critical factors in the management of the deteriorating
inventory model.

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Session
Date
Time
Room
ChairsSupply Chain Management (3)8/12/2010
15:30 - 17:15
NAPLES 2702
Chandra K Jaggi; Chih-Cheng Chen

Toward a Resilient Supply Chain with Supply Disturbances
Ana Paula Barroso1, Virgínia Machado1, Ana Rita Barros1, Virgilio
Cruz-Machado1
1
Universidade Nova de Lisboa, Portugal

The Supply Chain (SC) environment is changing. The SC entities
exhibit ever increasing levels of complexity and are adopting new
philosophies and management practices with the objective of
increasing levels of competitiveness. In recent years there has been
an increase in the likelihood of disturbances that affect the normal
operation of the SCs. These disturbances can negatively affect theSCs, making them vulnerable and reducing their competitiveness,
which is a critical factor to the success of organizations/SCs.
Therefore, it is fundamental that SCs become resilient todisturbances. Managers must identify the likelihood of theoccurrence and severity of disturbances, and take appropriate
measures (implement management strategies) to respond to each
disturbance, thereby reducing the negative effects of such
disturbances on the SC. In this paper we will discuss proactive andreactive management strategies that can be adopted by the SC tomake it resilient to disturbances at the supply side.
Waste Electrical and Electronic Equipment Management. A Case
Study

Virgínia Machado1, Ana Paula Barroso1, Ana Rita Barros1, Virgilio
Cruz-Machado1
1
Universidade Nova de Lisboa, Portugal

Owing to new legal requirements, essential changes in the field ofWaste Electrical and Electronic Equipment (WEEE) management
are expected. In WEEE management, several deciding factors must
be considered to maximize benefits at a determined cost. Thus, themain objective of this study is to contribute to more effective WEEE
management. Within this contribution, two models are proposedto help in the management of WEEE between Sorting Centres (SC)and Treatment and Recovery Centres (TRC), at minimum cost. A
model for assigning the destination TRC for the WEEE of each SC,
i.e., where 1 vehicle moves between 1 SC and 1 TRC. Anothermodel is proposed with the aim of introducing joint WEEE
management of 2 SCs to 1 TRC. The models are applied on a casestudy, with approximately one hundred of SCs and ten TRCs.
Based on this case study, conclusions are drawn for WEEE decision
managers.
Effective Inventory Management of PCBA Production for
Mobile Devices

Weidong Lin1
1
Temasek Polytechnic, Singapore

This paper describes the concept of the risk pooling and its
application into effective inventory management of PCBA
production for mobile devices. The application is to aggregate allcommon components demands of PCBA models and manage themthrough just in time replenishment with kit-to-lines. Only thoseunique parts are kitted directly to production lines. The results of
the application illustrate that huge inventory reduction can beachieved by aggregating and managing the common components
at one location for different PCBA models. In addition, this paper
demonstrates the statistical analysis of probability of line
disconnections due to the uncertainties of production rates andlead times of kits supply. It indicates that different lot sizes could
be applied for different PCBA models in order to minimize the line
stops due to the risk of line disconnections.

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Implementation of Green Supply Chain Management inUncertainty

Chih-Cheng Chen1, Ming-Lang Tseng2, Yuan-Hsu Lin1, Zeng Sheng Lin1
1
MingDao University, Taiwan
2Lung Hwa University of Science and Technology, Taiwan

There has been an increase trend in interest towards firms'
environmental sustainability activities to improve environmental
practices in their supply chain. This study aims to present
linguistic preferences to deal with supplier evaluation of firm's
green supply chain management criteria (GSCM) with incomplete
information. Nevertheless, the suitable supplier is a key strategic
direction in eliminating environmental impact on supply chain
management for manufacturing firms. The firm's GSCM criteria
and supplier selection need to be unified as a system to improve
the firm's performance. The results and conclusions are discussed.
Using QFD to Analyse Demand Chain Management in China for
European Winery
Haitao Wen1, Jian Tong2, Xuemei Fan1, Sebastian Kummer2
1
Jilin University, China
2
Vienna University of Economics and Business Administration, Austria

The European wine industry is experiencing acute difficulties
during global economic crisis. China will be a big potential wine
market in the near future. This research illustrates an investigationof wine demand management and explores the influence ofdifferent consumer preferences, consumer behavior and traditional
culture on the wine-buying decision aiming to design a demand
chain for European wineries in China. Consumption data wereobtained by desk-based research from some investigation
organizations and researchers. The proposed QFD method which
provides a communication tool to designers can posit midway
between Chinese wine market and European wine production to
help European wineries to build a system for entering anddeveloping the wine market in China. Results show that obvious
advantages of European wine lie on good quality, brand loyalty
and nation loyalty. Among all links of demand chain, wine
acculturation and marketing model are the most important successdeterminants.
Channel Coordination Through Discount Pricing Policies
When Demand Is Price and Effort Dependent
Yao Yu Wang1, Hon Shiang Lau1
1City University of Hong Kong, Hong Kong

In this paper, we investigate the performance of discount pricing
policies as coordination mechanisms in decentralized channels
where demand is sensitive to both price and sales effort. Most
related studies have shown that volume discount is an effective
channel coordination device. However, our paper shows that,when demand is affected by both price and sales effort, regularvolume discount not only is unable to coordinate the channel
effectively, but some times it performs even worse than the simple
price-only contract. Fortunately, our results show that a continuousvolume discount schedule can perfectly coordinate such aneffort-sensitive channel.

Session
Date
Time
Room
Chairs

Production Planning & Control (1)8/12/2010
11:00 - 12:30
NAPLES 2602
Yongzhong Wu; Suksan Prombanpong

Optimization of Group Scheduling Using Simulation with The
Meta-heuristic Extended Great Deluge (EGD) Approach
A. Ben Mosbah1, Thien-My Dao1
1
ETS/University of Quebec, Canada

Many companies apply cellular manufacturing systems (CMS) in
order to improve production. One of the most significant problems
encountered in production management is the scheduling problem,
which has also been proven to be NP-hard. The objectives of thegroup scheduling problem in manufacturing are considered inorder to minimize the makespan, the total flowtime and machine
idle time. In this paper, we propose an approach for optimizing thescheduling of manufacturing tasks for all parts of a product family,
including exceptional elements; To solve this problem, an
Extended Great Deluge (EGD) approach algorithm is applied inorder to determine the optimal sequence of parts in each cell,minimizing the makespan and the total flowtime,following that aheuristic method is applied to introduce the exceptional elements.
The results of the proposed hybrid approach show a major
improvement when compared with those obtained using one of
the best algorithms that has so far been presented by otherresearchers.
Determination of the Pareto-optimal Build Orientations in
Stereolithography
John Giannatsis1, Vassilis Canellidis1, Vassilis Dedoussis1
1
University of Piraeus, Greece

The selection of build orientation for a given part is one of the mostimportant tasks encountered in the process planning phase ofLayer Manufacturing in general and Stereolithography inparticular. The orientation selection is by definition a multi-criteria
optimization problem in which the operator seeks to achieve theoptimum trade-off between cost and quality depending on thegiven fabrication constraints and requirements. In the present
work a solution approach that focuses on the determination of theset of Pareto-optimal orientations is examined. Pareto-optimal
orientations could be considered as a set of good choices for theselection of the optimum orientation for both single part andmultiple (batch) fabrication. For the construction of this set in atime-efficient manner a Genetic Algorithm is employed. In order toinvestigate the efficiency of the proposed approach a case study is
examined and the corresponding results are presented.
A Hybrid Neural Network- Meta Heuristics Approach for
Permutation Flow Shop Scheduling Problems
Radha Ramanan Thiyagarajan1, Sarang Kulkarni1, Sridharan R1
1
National Institute of Technology Calicut, India

The objective of this study is to find a sequence of jobs for the
permutation flow shop to minimize makespan. A feed forward
back propagation neural network is used to solve the 10 machine
problem taken from the literature. The network is trained with the
optimal sequences for five, six and seven jobs problem. This
trained network is then used to solve the problem with greaternumber of jobs. The sequence obtained using neural network isused to generate initial population for genetic algorithm(ANN-GA), genetic algorithm using Random Insertion
Perturbation Scheme (ANN-GA-RIPS) and Simulated Annealing(ANN-SA). Makespans obtained through these approaches arecompared with the Taillard's benchmark problems.

Worst Case Performance Scheduling Facing Uncertain
Disruption in a Continuous Casting Process
Purit Thanakijkasem1, Kiatkajohn Worapradya1
1
King Mongkut's University of Technology Thonburi, Thailand

Several disruptions (e.g., machine failure, quality problem, etc.) ina steel production often occur in practice and lead to a delay in the
production. Many schedule changes in a short period of time leadto an unstable production. Therefore, a robust predictive
scheduling, which takes the disruption effect into account, is amore suitable choice for facing the daily small disruption. In thispaper, a worst case performance scheduling via Minimax
optimization for a multi-continuous casting is presented. By thisapproach, each uncertain disruption event is defined to be apossible scenario. A set of factory maintenance information (e.g., amachine reliability/availability) is utilized for constructing andillustrating the uncertain disruption model. Two loops of Genetic
Algorithm (GA); one searching to find worst scenario for eachfeasible schedule and another searching for optimal schedule, areperformed. The objective function is raised in terms of the steel
production costs. The robust performance based on the factorydata is demonstrated via Monte Carlo simulation. It shows that theworst case performance schedule can robustly handle theuncertain daily disruption.
A Niche Genetic Algorithm for Two-machine Flowshop
Scheduling with Family Sequence-dependent Setup Times and a
Common Due Window
Meng-Chang Wang1, Yunqing Rao1, Kun-Peng Wang1
1
Huazhong University of Science and Technology, China

This paper presents a two-machine flowshop scheduling problem
with family sequence-dependent setup times and a common due
window. The objective is to minimize the sum of earliness andtardiness according to the common due window. The problem isfound to be NP-hard. And a niche genetic algorithm (NGA) withsharing as the population diversity mechanism is developed for it,in which the distance of two chromosomes is defined to measure
the similarity between them, preventing premature convergence ofa standard genetic algorithm (SGA). Computational experiments
in different scales show the effectiveness and efficiency of thealgorithm.
Multiple Model Predictive Control of Nonlinear pH
Neutralization System
Ayman Hermansson1, Syafiie Syafiie2, Samsul Mohd Noor2
1
SEGi University College, Malaysia
2
University Putra Malaysia, Malaysia

In this paper the control of nonlinear systems using linear models
is studied. The control strategy utilizes a piecewise linear
description of the process, considered the model bank. The modelbank is then combined at each sampling interval, through theapplication of a Bayesian weight calculator, to render a single
linear model describing the system. The linear model is used in amodel predictive control (MPC) setting to render the optimal
control move. The performance of the setup is simulated for a pH
neutralization process, which demonstrates a good following of
setpoint changes and quick reduction of oscillations.

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Session
Date
Time
Room
ChairsInformation Processing & Engineering (1)8/12/2010
13:30 - 15:00
NAPLES 2602
Suthep Butdee; Tingting Zhao

Rule Based Business Process Optimization
Mohamad Aghdasi1, Ehsan Malihi1
1
Tarbiat Modares University, IranThis paper discusses the problem of business processoptimizations applying rule based Process Model. In this study,
business process optimization is utilized through changing
business process model with respect to business goals. This is dueto that we decompose business goals to sub goals to the extent thatdesired performance measures have been met in business rules via
deciding on alternative scenarios for business rule elements. This
contrast with the approach of many researches which optimize
business processes in work flow level with respect to cost or time
efficiency that neglect business goals. The proposed approach has
been implemented in the case of dairy industry to optimize "Milkprocurement from producer ". Selection between two scenarios
including strict black list and non-strict list for process of "milkreception" investigated in simple optimization problem based on
proposed approach.
Improving Users Satisfaction by Using Requirements
Engineering Approaches in the Conceptual Phase ofConstruction Projects: The Elicitation Process

Cyril Mauger1, Thomas Schwartz1, Jean-Yves Dantan2, Lahcene Harbouche1
1
Public Research Center Henri Tudor, Luxembourg2
Arts et Métiers ParisTech, France

The purpose of this article is to define an approach to improveconsideration of users’ requirements in the early stage of aconstruction project. The input of the approach is the construction
project appraisal and aims to produce a briefing program add-on
relative to its business process needs and objectives. Requirements
engineering is used as a basis for the proposed methodology,
supported by the functional analysis, the quality function
deployment and modeling languages. Its first application results
focus on the requirements elicitation process. New kinds ofinformation on the secondary school case study relative to its
building were found, information missing from the current
briefing program and sources of innovation and improvement. The
conclusion deals with the importance to develop this kind offramework that could save time and bring more value to buildings
through a business-building alignment.
Product Model-based Design Process Modeling in Collaborative
DesignXu Zhang1, Yadong Sun1, Lijuan Wang2, Dehao Xu3
1
Beijing Institute of Technology, China
2
Beijing University of Chemical Technology, China
3
Nanjing Institute of Electronic Technology, China

The design process is driven by product information in nature. The
common workflow model is usually pre-defined and not flexible
for the dynamic design process. A new product model-based
design process modeling technique is proposed. Product model isdefined as design entities, domain models, parameters, andrevisions. Data node is added to workflow model to represent
input and output information in design process. Productmodel-based process can be simultaneously created as design
proceeds, mapping from product model, without the necessity of
template modeling in advance. Design process is executed andcontrolled by both activity states and data-activity relations. The
proposed model is flexible in complex product design especially inconceptual design stage with multidiscipline cooperation andintensive design changes.

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Applying Fuzzy Sets for ERP Systems Selection within theConstruction Industry

Marco Barreiros1, Antonio Grilo2, Virgilio Cruz-Machado2, Maria do Rosário
Cabrita2
1
YKK, Portugal
2
Universidade Nova de Lisboa, Portugal

Construction companies over the last years the have been
implementing ERP systems to integrate their business processes
and to become more efficient. Due to the complexity of the factors
involved in the construction industry, the selection of an ERP
system is a difficult process. This paper proposes a methodology
by applying the fuzzy set theory to the selection process an ERP
system for companies within the construction industry.
Positive Infusion of Propofol Drug During Induction
Syafiie Syafiie1, Mustapha Ait Rami2, Fernando Tadeo2
1
University Putra Malaysia, Malaysia
2
University of Valladolid, Spain

Non-opioid intravenous anesthetic agents such as propofol has
been used in anesthesia since 1970's for conscious sedation. In thispaper, the study is to regulate syringe pump of propofol infusion
during induction. The syringe pump is regulated by using a linear
positive controller. The controller is designed that it satisfies
positivity in state. The control output is positive and bounded.
Effect site concentration is used as a feedback to the controller.
Simulation result shows that the controller regulates propofol very
well and the BIS responses of the patient are observed that there
are no overshoot and oscillation.
A Novel Digit Serial Dual Basis GF(2m) Multiplier
Po-Lun Chang1, Fei-Hu Hsieh1, Horng-Lin Shieh2
1Lunghwa University of Science and Technology, Taiwan
2Saint John's University, Taiwan

A novel architecture of low-complexity digit serial GF(2m)multiplier using dual basis representation is proposed in this paper.
The architecture of digit serial multiplier is suitable for large word
lengths such as those found in cryptographic applications anderror correction codes. Digit serial multipliers can give a better
trade-off between area and latency in comparison with bit-parallel
realization which is costly, and bit-serial realization which isslower. The proposed multiplier is based on an irreducible
trinomial and a look-ahead technique that performs the algorithm
to calculate the extra elements of the operand represented in the
dual basis multiplication process, and is formed by only one cell oftree structure in the MSD (most significant digit) first scheme.
Compare to existing architectures, the results reveal that the newmultiplier evidently have lower complexity of area and latency.

Session
Date
Time
Room
ChairsInformation Processing & Engineering (2)8/12/2010
15:30 - 17:15
NAPLES 2602
Yaoguang Hu; Xu Zhang

Creative Design of Solar Energy Portable Lamp Based on
Product Gene and Intuition Models
Ting-ting Zhao1, Zhenhe Ju1, Xiao-peng Wei2, Xiao-xiao Li3
1
Shenyang Institute of Engineering, China
2
Dalian University, China
3
Liaoning Solar Energy R&D CO., LTD, China

Intuition process is a very essential in the product creative design
stage. A new creative design approach is put forward based on
product gene and intuition models. The product gene model andits sequential gene manipulation are established. The intuition
process reflects that the thinking of human brain produces
qualitative change. An approach of intuition simulation is used by
Hebb learning law, Hopfield neural networks and crossover andmutation. The calculating models and the calculating formulas forthe creative design are put forward. Finally, this essay offers us theapplied examples for creative design of solar energy portable lamp.
The better results are obtained in the creative design.
A New Filter Feature Selection Approach for Customer Churn
Prediction in Telecommunications
Ying Huang1, Bingquan Huang1, Tahar Kechadi1
1
University College Dublin, Ireland

There is little literature to introduce the approaches for the feature
selection, which plays an important role in the customer churnprediction. In addition, due to the imbalanced data classification
problem occurring, most of the traditional approaches ineffectively
select the important features for the churn prediction. This paper
proposes a new filter feature selection approach for customer
churn prediction in telecommunications. The main idea of thisapproach is to calculate the dependency between each input
feature and the class. Finally, the comparative experiments werecarried out, and the results show that the new proposed feature
selection approach is very effective for the churn prediction.
Model Building of Coordination Theory: A Review

Xiaoming Hu1, Qiang Lu1
1
Shenzhen Graduate School, Harbin Institute of Technology, China

Contingency theorists have developed the basic grammar of
coordination theory around the relationship between coordination
mechanisms and circumstance like uncertainty, interdependence,
work unit size and functional diversity. Recently, conceptual andempirical studies have emerged that offer new opportunities incoordination theory, for instance structure-process modeling.
Meanwhile, model building for coordination theory is difficult
because modeling requires precise data, while coordination is
dynamic and complex involving both behavioral and physicalfactors. This paper reviews the approaches to the qualitative
analysis and quantitative modeling, and then suggests anddiscusses in detail four common research issues which are criticalto the development of valuable theories in this research area. These
are setting problem boundaries, collecting data, identifying
resources and activities, and verifying the model.

Function-Based Patent Retrieval for Concept Design
Hongtao Wu1, Haobo Yang1, Jianhong Ma1, Runhua Tan1
1
Hebei University of Technology, China

In concept design, functions of systems are usually described witha verb and a noun. The verb describes the operation that thesystem applies on the object which is represented by the noun in
the functional description. The functional verbs are commonly
expanded with its synonyms and antonyms, troponyms andhypernyms to use as stimuli in engineering problems. To reuseprevious design resolution in concept design, we propose afunction based patent retrieval approach. In the proposed
approach, the initial keywords are given based on function
representation of 'verb + noun' provided in the Functional Basis,and then the verbs and nouns in the keywords are automatically
expanded into verb set and noun set using Functional Basis and
WordNet. The expanded verb set is not only used as design stimuli,
but also used as keywords for patent retrieval. The expanded noun
set is used as keywords in a second search to filter retrieval results.
The experiment results indicate that the proposed approach canretrieve more functional relevant patent and facilitatecross-domain patent retrieval.
Robust Tool for Feature Extraction and Its Application
Pawel Blaszczyk1
1
University of Silesia, Poland

The aim of this paper is to present a new robust feature extraction
method. Our method is an extension of the classical Partial Least
Squares (PLS) algorithm. However, a robust approach and newweighted separation criterion is applied. This algorithm based on
Minimum Covariance Determinant (MCD) approach and new
separation criterion called Weighted Criterion of Difference Scatter
Matrices (WCDSM). The new separation criterion uses theweighted difference between within and between scatter matrices
to measure the separation between classes. Designed algorithm candistinguish between samples from two classes. This algorithm canbe applied to low- and high dimensional data variables, and to one
or multiple response variables. In order to compare theperformance of the classification the economical datasets are used.
Identifying a New Service Opportunity from Potential Needs:
User-centric Service Map
Jieun Kim1, Yongtae Park1
1
Seoul National University, South Korea

In the era of ubiquitous service, the new service opportunity isclosely related to user. User-centric approach takes into accountuser context in new service development. However, attempts toapply user context is insufficient to identify opportunities, since
the opportunity is at least user's potential needs, which are notsatisfied yet. In response, this paper proposes a "user-centric
service map" to visualize existing services based on a priori
dictionary of potential needs and investigates the vacuum to takeconcrete shape of the opportunities. At first, a potential needs
dictionary is constructed as location, event and objective. Next, theservice map is developed based on the evaluation of existing
services from Apple App Store for each dimension. Finally, a newservice opportunity is identified by analyzing the characteristics of
vacuums of the service map and exploring how to satisfy thevacuums using related services for reference.

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Session
Date
Time
Room
ChairsOperations Research (1)8/12/2010
11:00 - 12:30
NAPLES 2701
Yuri Popkov; Chuangyin Dang

Ranking Alternative Production Scenarios Using
Super-Efficiency Analysis
Stella Sofianopoulou1
1
University of Piraeus, Greece

The modern, particularly competitive and demanding operational
environment has led many companies to a continuous effort for
implementing techniques and evaluating alternative production
scenarios, which will allow them to optimize their production
processes and reduce their cost. In this study, a consumer goods
manufacturing company was selected to implement modern
optimization techniques in its production processes and then toevaluate the efficiency of potential changes on its operation as wellas to record the problems and difficulties arising in such a case.
Data Envelopment Analysis, a linear programming based
technique was employed to evaluate the efficiency of twelve
alternative production layout scenarios. Those scenarios werecreated through the application of advanced Group Technology
techniques and some basic indices/characteristics were attached toeach one of those layouts. Results indicated that more than one ofthese scenarios can be effective. An additional analysis forranking those scenarios was conducted using the super-efficiency
model. According to the results of this study, nine of the proposed
scenarios are efficient and thus significant improvements can beachieved in the system’s performance, without actually changing
its basic production parameters. It is concluded that both theresults of the evaluation and the experience gained during theimplementation phase, can be very useful for supporting the goals
and decisions of the company.
Complexity and Approximability Results for Robust Knapsack
Problems
Fabrice Talla Nobibon1, Roel Leus1
1
Katholieke Universiteit Leuven, BelgiumThis paper studies robust knapsack problems, for which solutions
are, up to a certain point, immune to data uncertainty. We
complement the works found in the literature where uncertainty
affects only the profits or only the weights of the items by studying
the complexity and approximation of the general setting withuncertainty regarding both the profits and the weights, formultiple
objectivefunctions.
We
also
proposepseudo-polynomial-time algorithms for some special cases.
A Shortest Path Problem with Random and Interval Variables forArcs Based on Conditional Value at Risk
Takashi Hasuike1
1
Osaka University, Japan

This paper considers a shortest path problem with both random
and interval variables for arcs and proposes a new risk measure tosynthesize both stochastic conditional Value at Risk and orderrelation of interval values. The proposed model defined by thehybrid conditional Value at Risk is equivalently transformed into a
0-1 mixed integer programming problem. In order to this problem
analytically and efficiently, the Lagrange 0-1 relaxation problem
using the property of totally unimodular to the shortest path
problem is equivalently performed. The numerical example isprovided to compare the proposed model with the other standard
models.
The Development on Obstacle Avoidance Design for a
Humanoid Robot Based on Four Ultrasonic Sensors for the
Learning Behavior and Performance

Ya-Ju Li1, Wei Chung Chou1, Chen-Yuan Chen2, Bih-Yaw Shih1, Lien-Tung
Chen3, Pei-Yin Chung41
National Pingtung University of Education, Taiwan
2
National Kaohsiung First University of Science and Technology, Taiwan
3
Yung-Ta Institute of Technology and Commerce, Taiwan
4
Meiho University, Taiwan

A behavioral strategy designed for a humanoid robot for the
purpose of obstacle avoidance based on four ultrasonic sensors forthe learning behavior and performance is proposed andimplemented with an autonomous humanoid robot. A mechanicalstructure with 4 degrees of freedom is designed so that a small-size
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humanoid robot named ARSR is able to accomplish three types ofwalking motion. One experiment is presented to illustrate ow thethe proposed bipedal structure lets the ARSR move forward, turnleft and turn right. Four ultrasonic sensors are mounted on the
ARSR to obtain environmental information and detect obstacles.
Based on the information obtained from these sensors, a decision
tree method is proposed to decide upon one behavior from threepossible types of movement: walk forward, turn left and turn right.
An experiment is carried out to show how the robot canautonomously avoid obstacles to effectively arrive at its
destination. Based on the mechanic design and development, we
will get a good agreement for the learning behavior andperformance.
A Performance Management on Automobile Dealers with
Applying Data Envelopment Analysis
Tyrone T. Lin1, Chia-Chi Lee2, Fei-Ting Chang1
1
National Dong Hwa University, Taiwan
2
National Taipei College of Business, Taiwan

This paper analyzes the operating performances of the twenty
retailers of two Taiwanese automobile dealers based on the dataenvelopment analysis combined with the practical experience of
the automotive industry. The paper selects important input andoutput variables to evaluate overall technical efficiency, puretechnical efficiency, and scale efficiency for detecting the causes of
inefficiency and proposes the improvement comments on project
management. The results indicate that there are five retailers
presenting relative efficiency at overall technical efficiency during
the sample period. The paper looks forward to constructing acomplete business operating performance model for enhancing theperformances of retailers. The findings can provide usefulsuggestions for the managers of project management to focus on
how to find out and develop the maximum effectiveness by
allocating useful human resources fitly for enhancing theoperating efficiency on performance management.
Mixed Integer Programming Formulation for Hybrid Flow Shop
Scheduling Problem
Mohamed K. Omar1, Siew Chein Teo2, Yasothei Suppiah2
1
University Technical Melaka, Malaysia
2
Multimedia University, Malaysia

This paper addresses a complex hybrid flow shop (HFS)
scheduling problem confronted in a real industrial environment inwhich a manufacturing firm provides electroplating service to theelectronic and semiconductor industries. A mixed integer
programming (MIP) formulation was developed to represent thescheduling problem. Data was taken from the manufacturing firm
to test the MIP to in terms of obtaining optimal solution for areasonable size problem. The developed model was tested withloss and tight due dates conditions. The results indicate the model
was able to provide optimal solution to all the cases considered.
Application of Simulated Annealing on Least-Cost Design of
Sewer Network
Shuang-Fu Yeh1, Yao-Jen Chang1, Min-Der Lin1
1
National Chung Hsing University, Taiwan

This study employed simulated annealing (SA) to optimize
minimum-cost design of sewer network. A sewer network design
which contains significantly varied elevations was used as a casestudy. The results show that SA is able to achieve least-cost
solutions which also fulfill all the constraints of design criteria.
Based on the average performance of 200 trials, SA exhibits
robustness and efficiency for solving sewer network system
optimization problems.

Session
Date
Time
Room
ChairsService Innovation & Management (1)8/12/2010
13:30 - 15:00
NAPLES 2701
Yuya Kajikawa; Chien-Liang Kuo

Analyzing Service Quality in Thai Hotel Industry: An
Application of the SERVQUAL Model
Sakun Boon-itt1, Vornsupa Chomvong2
1Thammasat Business School, Thailand
2
PricewaterhouseCoopers, Thailand

This paper has been conducted with the aim to focus on hotel
service quality based on 29-characteristic indicators applied fromSERVQUAL model by comparing two hotel types namely, (1) theboutique hotel and (2) the business hotel in Thailand. This paper
also aims to study the expectation, perception and gaps between
customers' expectation and perception on hotel services quality.
The key findings from our study are: first, service quality of hotels
in Thailand was moderately low; hotels were not able to deliver
services as expected; second, customer expectation on services ofthe boutique hotels was higher than that on the business hotels.
The management is able to apply research findings in designingand prioritizing hotel strategies, and to recognize weaknesses ofservice quality to improve service quality in hotel business.
A Novel RFID Application for Realizing Lean Services Based on
Customer Chain Operations Reference Model
Stuart So1
1
City University of Hong Kong, Hong Kong

The research establishes a structural approach of adopting lean
thinking in services by mapping operation processes based on the
integration of value stream mapping and customer-chain
operations reference (CCOR) model. On this ground, lean services
are realized with radio frequency identification (RFID) technology
and associated software at customer touch points to improve
service level and operation efficiency that eventually increasecustomer conversion. A case study of an apparel retailer isconducted and the results are satisfactory. The study has practical
implications to both retailers and RFID product suppliers thatvarious adoption factors of this emerging technology includingease of use, data privacy, cost advantage, compatibility and time tothe market, may influence the implementation of this new
initiative.
Creating an Academic and Technological Landscape of Service
Innovation: An Analysis of the Citation Network
Naoki Shibata1, Yuya Kajikawa1, Junichiro Mori1, Ichiro Sakata1
1
The University of Tokyo, Japan

It is widely recognized that the concept of service innovation issignificant for innovation strategy and economic growth especiallyin developed countries. However, since the term “service
innovation” represents a broad sense, there is not the common
understanding about what is service innovation even amongexperts. In this paper, we create an academic and technologicallandscape of service innovation from a number of academic
publications and patents. Not only creating landscapes, extracting
the gap between science and technology can be extract bycomparing the major topics. As a result, there were mainly eightclusters in science and twelve in technology. SSME researchdomain is so interdisciplinary that each of eight is not so strongly
related to others. On the contrary, all major patent clusters are
IT-related ones. In other words, the scientific outcomes are notapplied into industries. This result suggests we need to accelerate
applying the scientific outcomes into industries.

Development of Technology Roadmap for Product-Service
System (TRPSS)
Youngjung Geum1, Yongtae Park1
1
Seoul National University, South Korea

Nowadays, the body of literature has been almost unanimous forthe needs of sustainable production and consumption. A
Product-Service System (PSS) is a promising and prevalent concept
for this purpose, selling an integrated offering of products andservices, rather than selling a single product. Even PSS has
received a great attention in both academia and practice; there has
been a lack of research regarding the strategic planning of PSS
under the systematic methodology. In response, this paper
suggests a revised technology roadmap for product-service system(TRPSS), proposing three types of TRPSS byaccommodating the different characteristics of PSS. Differentiating
the three types of TRPSS, this paper also provides structuraldifferences and implications. This paper contributes to the fields
by firstly suggesting a technology roadmap for PSS, a promisingand dominant business model today. Suggested TRPSS anddifferentiated three types of TRPSS can be flexibly used according
to the business circumstances.
Fuzzy Measures for Service Quality of Fuzzy Numbers
Cheng-Che Chen1, Chun-Mei Lai1, Hsu-San Liu1
1
Far East University, Taiwan

In order to increase a company's competition edge, the main focus
of a management strategy is to improve service quality.
Indentifying the dimensions of the service quality would definitely
help managers in the challenge of improving the service quality.
This study is to presents an fuzzy approach to evaluate service
quality. Two evaluation indices, optimistic-expectation index(OEI) and pessimistic-expectation index (PEI), are used to evaluate
the true perception of service quality from customers. This
presented approach is very flexible since the value and domain of
the triangular fuzzy number are defined by customer themselves.
An empirical study is conducted to illustrate the effectiveness ofthe presented approach.
Development of Two-layered Service Evolution Map: Structure
and Development Process
Bomi Song1, Daekook Kang1, Byungun Yoon2, Yongtae Park1
1
Seoul National University, South Korea
2
Dongguk University-Seoul, South Korea

As digital convergence has proliferated and multi-functional
products have become prevalent, services that utilize productelements such as technologies, functions, and data of products
have been increased. Such a phenomenon continues to acceleratewith the diffusion of intelligent products like smart phone andopen markets for applications, which is boosted by success ofiPhone and Apple App Store. Despite the increased importanceand attention, however, little attempt has been made to investigate
services based on the utilization of product elements. In response,
this study proposes a two-layered service evolution map and thedevelopment process as a tool for analysis of evolutionary patternof services based on the utilization of product elements. The
proposed service evolution map consists of two layers with thetime dimension: product element layer for utilization pattern ofproducts and service layer for evolutionary pattern of services.
Based on the service documents describing what the services are,co-word analysis and modified formal concept analysis (FCA) are
employed to develop product element layer and service layer,
respectively.

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Session
Date
Time
Room
ChairsService Innovation & Management (2)8/12/2010
15:30 - 17:15
NAPLES 2701
Zheng Cui; Stuart So

How Trust Links the Association Connecting Use Experience,
Word-of-Mouth with Use Intention and Use Behavior - A Case
Study on the Service Innovation in the Aesthetic Medical
Treatment
Shuo-Chang Tsai1, Yung-Hsin Chen2, Ling-Yu Chang3
1
Asia Univeristy, Taiwan
2
National Cheng Kung University, Taiwan
3
China Medical University Hospital, Taiwan

The recent rapid economy growth in the Asia region has reshaped
the landscape of medicine industry. Aside from the conventional
task of cure and treatment, many hospitals has started providing
service innovation in the domain of anti-aging, face-lift, andaesthetic medicine, meeting people's needs and demands topursue rejuvenation. Experience and word-of-mouth (WOM) are
two well-established antecedents to the use intention and behavior.
However, differing from other sorts of service, the cosmetic
surgery as an irreversible process inevitably arouses the concern
and retards the adoption. Thus, trust toward the medical
institution and practicing physician play the role of facilitator for
decision making. Based on Bansal's 'theory of word-of-mouth' andthe 'strategic experimental modules' proposed by Schmitt, thisstudy builds and empirically test a conceptual framework
involving experience, WOM, trust, use intention and behavior. The
finding is that experience weighs heavier than WOM in invoking
trust, leading to use intention and behavior. Prospects' levels of
income also moderate the links between experience and trust, andbetween WOM and trust. It has implications with articulatingclients' decision making process in adopting the service innovationsuch as anti-aging and aesthetic reform treatment.
An Exploration of Service Quality Practices in the Chinese Hotel
Industry - A Comparison between CMHs and FMHs

Zheng Cui1, Haoxiong Yang1, Suyuan Zhang2
1
Beijing Technology and Business University, China
2
Peking University, China

Ning Zhao1, Zhaotong Lian1
1
University of Macau, China

In this paper, we study a two-stage priority service system inwhich the first stage can be interrupted but the second stage cannot. There are two classes of customers, low priority and highpriority. The server adopts the preemptive priority discipline if theservice is at the first stage and adopts the non-preemptive
prioritydiscipline if it is at the second stage service. By treating thehigh priority queue as bounded, the steady-state probability vector
for the system can be expressed in a matrix-geometric form. We
also obtain the sojourn time of an arbitrary low priority customer.
The numerical results demonstrate the effectiveness of ourapproach.
iSIM: A Proposed Methodology for Industrial-oriented Service
Innovation
Chien-Liang Kuo1, Chao-yin Chi2, Huey-Jiuan Yeh2
1
Chinese Culture University, Taiwan
2
Industrial Technology Research Institute, Taiwan

This paper develops a reference framework called iSIM
(industrial-oriented Service Innovation Methodology) for service
innovation, which focuses on design and plan stage, with its
purpose for fostering new service industry development. Our
experiences on executing a four-year-long project, namely"Development of technology-enabled innovative service businessmodels" sponsored by DOIT, MOEA, Taiwan is taken as the major
input for building up the methodology. The framework-induction
process follows Kettinger et al.'s stage-activity (S-A) approach.
Eight stages and 20 corresponding activities are identified. Bothdetailed information and practical guideline about iSIM arediscussed in this paper.
Service Science: An Analysis of the Business System of Product
Service Companies
Noriyuki Shikata1, Kiminori Gemba2, Keisuke Uenishi1
1
Osaka University, Japan
2
Ritsumeikan University, Japan

China is a late starter in tourism. The government adopted “opendoor policy” in the late 1970s and began welcoming international
visitors. The world has witnessed a boom in tourism in China overthe ensuing three decades. Along with the increase of visitors, theChinese hotel industry developed with high speed to meet thesedemands. The Chinese hotel industry developed fast. However,from 1994 to present, the Chinese hotel industry keeps on losing
occupancy rate and profits. Chinese hotel management attracted
more and more academic research interests. However, a number of
research gaps existed. In this research, the author tries to gain abetter understanding of service quality gaps between CMHs andFMHs in mainland of China by examining that if there are service
quality differences via two critical dimensions: technical andfunctional.

The need of businesses that combine products with service has
begun to be recognized recently. However, there exist few studies
on such businesses, and none that propose corporate strategy forthem. Most of the existing service science literature deals with theclassification of business types and the methods to evaluate value.
This paper explores the product service system with anuncertainty factor and analyzes a case study of the care bed
business, expanding rapidly as a result of the growing elderly
population in Japan. We also examine the organizational structureof product service companies and offer policy suggestions for
managing such companies. The paper concludes with thesuggestion that these companies need to integrate and coordinate
different activities in the vertical integration value chain,eliminating the uncertainty factor, to maximize performance andefficiency.

Impact of Waiting Time on Tourists Satisfaction in a Theme Park:
An Empirical Investigation

Evaluation of PSS Concepts for Successful Shift from Product to
PSS: An Approach Based on AHP and Niche Theory

Wenli Li1
1
Jinan Universiy, China

Sora Lee1, Yongtae Park1
1
Seoul National University, South Korea

As service organizations have realized that service is fundamental
to establish their competitive advantage, waiting time
management has been a subject of much service research. This
study aims to explore how waiting time impact on tourist
satisfaction in theme parks. The findings from a survey of 102
tourists from the theme park in Shenzhen City in China confirm
that perceived waiting time, waiting information and waiting
environment are significant determinants of tourist satisfaction.
Providing waiting information and improving waiting
environment are effective ways to enhance tourists' service
satisfaction.

The shift from product to product-service system(PSS) is
highlighted as a prevailing trend for sustainability in the
manufacturing industry. For a successful shift, the superiority of
PSS to customers over product should be distinctly identified. This
study defines the superiority index of PSS concept over product,
which is computed with the relative importance of value
quantified by AHP and the relative superiority in niche
gratification based on the niche theory. At this time, classificationof value into three types related with transferring from product to
PSS is considered as the conceptual framework of the proposed
approach. As a relative evaluation method of PSS concepts in acustomers’ view dealing with many heterogeneous values thatremains a void in the previous studies, the proposed approach is
expected to effectively aid manufacturers who adopt PSS tosystematically evaluate PSS concepts understanding the gains andlosses according to the shift from product to PSS.

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A Two-Stage Discretionary Priority Service System with
Markovian Arrival Inputs

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Session
Date
Time
Room
Chairs

Quality Control & Management (1)8/12/2010
11:00 - 12:30
NAPLES 2601
Lianjie Shu; Chen-Ju Lin

Evaluation of Production Yield for Process Selection
Chen-ju Lin1, Hsin-hui Kuo1
1
Yuan Ze University, Taiwan

Process evaluation is a common yet important problem in industry.
Among the key measurements such as quality, processing time,cost, and robustness, production yield is one of the fundamental
criteria frequently adopted to evaluate the quality level of aprocess. A process with high yield is better capable of producing
products meeting the requirements preset by customers. However,general evaluation procedures that count the number of defectives
become inefficient especially when yield rates are high. This paper
considers the processes evaluation problem by comparing theyield index Spk of two production lines with high quality. An
effective and efficient approach is proposed to solve the problem.
The analytical method examines the difference of two yields. The
approach requires small sample sizes but sensitively distinguishes
production yields. The results provide useful information topractitioners.
Simultaneously Considered the Properties of Cost and Quality
for a Control Chart Design with a Gamma Shock Model andCorrelated Data
Peng-Kai Wang1, Cho Hua Yeh2, Feng-Chia Li3
1
Hwa Hsia College, Taiwan
2
Tsing Hwa University, Taiwan
3
Jen Teh Junior College, Taiwan

Recently, both the non-uniform sampling scheme and economic
statistical design approaches have been successfully applied todetermine three parameters of X-bar control charts (including
sample size, sampling interval between successive samples, andthe control limits) for monitoring a manufacturing process withincreasing hazard functions. Nevertheless, a primary assumption
for these cost models is that measurements within a sample are
independent. However, the conventional supposition may
underestimate significantly the type I error probability for an
X-bar control chart. Hence, in this investigation, we develop a costmodel that combine Rahim and Banerjee's cost model with Yang
and Hancock's multivariate normal distribution model undermaximum probability of type I error and minimum value of power
to search the optimal parameters of non-uniform sampling interval
X-bar control charts for the measurements within a sample being
correlated. In addition, an industrial example is applied to indicate
the solution procedure. Meanwhile, a genetic algorithm is adopted.
Weighted CUSUM Procedures for Surveillance of Health Eventswith Varying Population Sizes
Lianjie Shu1, Wei Jiang2, Kwok-Leung Tsui3
1
University of Macau, Macau
2
The Hong Kong University of Science and Technology, Hong Kong
3
Georgia Institute of Technology, United States

The CUSUM procedure has been popularly used for detecting ashift in the incidence rate of a rare health event. Many CUSUM
methods are developed based on a Poisson model with a constantmean number of events. In practice, the expected number of eventsis likely to vary over time as the population size at risk is notconstant but often grows over time. To account for the varying
population size, this paper proposes the weighted CUSUM(WCUSUM) method. The simulation results show that the
WCUSUM method is more efficient than the conventional CUSUM
methods in detecting increases in the incidence rate, especially forsmall shifts.

Medical Equipment (DXA) Reliability and the Management of
Its Quality Control by the Clinical User

Jan Pieter Clarys1, Aldo Scafoglieri1, Steven Provyn1, Olivia Louis2, Joanne
Wallace3, Jonathan Tresignie1, Johan De Mey1
1
Vrije Universiteit Brussel, Belgium
2
Brussels University Hospital, Belgium
3
University of Aberystwyth, United Kingdom

Dual energy X-ray absorptiometry (DXA) equipment is designed
for human and animal research and clinical diagnoses.
Controversial impression concerning its use is dictated by various
critical appraisals and clinical reports. This study willcross-validate and compare DXA fan beam scannings with direct
dissection and computed tomography (CT) scanning data.Twelve
porcine carcasses, were measured with DXA and CT before
dissection into its major components. Tissue samples werechemical and hydration analysed. The complete skeleton wasashed. This users-quality evaluation confirms that part of theexisting problem results from erroneous terminology suggested by
the manufacturer. The predictive values of DXA are good. The
precision capacity of DXA variables resulted into significant
differences indicating that clinical precision for the individual
patient is at risk in particular for bone data.
Application of XML for Manufacturing Quality Information
Representation Based on STEP
Xianlong Xu1, Shurong Tong2, Xinwei Zhang3, Xin Shi2, Shiwang Hou4
1
Xi'an Technological University, China
2
Northwestern Polytechnical University, China
3
University of Toulouse, France
4
North University of China, China

Quality information required in manufacturing processes is tightly
related to design, which ensures the realization of design quality
objectives in manufacturing processes. To process manufacturing
quality information for design easily and effectively, it is very
necessary to represent such information consistently. Firstly, by
discussing the characteristics of STEP and XML in information
representation, representation framework of manufacturing
quality information based on STEP and XML is proposed. Secondly,
EXPRESS models of structural manufacturing information arepresented. Thirdly, tree structure of process information isanalyzed. Fourthly, mapping EXPRESS model of structural
manufacturing quality information into XML schema by themethods of early bound and late bound is illustrated in detail.
Finally, the unified representation model of manufacturing quality
information based on XML is given, and also definition andapplication process of XML schema of manufacturing quality
information are demonstrated.
Application of QFD in Digital Electronics Industry

Mahmood Ul Hassan1, Ahmer Tajammul1, Muhammad Asim2
1
National University of Sciences and Technology, Pakistan
2
Center for Advance Studies in Engineering, Pakistan

This paper presents the application of QFD in design process
involving designers and customers of Digital Electronics industry.
After acquiring and prioritizing the customer requirements, QFD
method is used to integrate the different stages of system design, toenhance the performance of design and development of systems.
Process mapping with customer requirements is employed toformulate the “House of Quality”. A case study is conducted on,
PALMCHIP Corporation, to demonstrate the usefulness of the
proposed framework in analyzing the effectiveness and efficiency
on performance. This paper explains the QFD method and all therequired steps. This model can, ultimately, help in design
optimization and a better system development in digital
Electronics industry.

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Session
Date
Time
Room
ChairsHuman Factors (1)8/12/2010
13:30 - 15:00
NAPLES 2601
Jianwei Niu; Toraj Mojibi

Only Room for an Ideas Man - or Is There More to CI for the Less
Creative?
Helen Wagner1, Sue Morton1, Chris Backhouse1
1
Loughborough University, United Kingdom

This paper looks at the ideas associated with team roles within acontinuous improvement (CI) program. It uses a case study
approach, with Belbin's team role theory and the Self-Perception
Inventory (SPI) questionnaire to assess the naturally adopted roles
within two teams at a Slovenian manufacturing organization.
Results show that, team members have a wide range of preferred
team roles, but few are drawn to the Plant role that provides thecreativity needed for effective CI. Conclusions state that thepreferred team roles in established teams need to be acknowledgedin order for members to feel a valued part of the process. In the
future it is suggested that CI programs are more wide ranging toinclude tasks more suited to all of the team role preferences.
Problem-Identification Workshop as a Future-Oriented
Macroergonomic Tool for Managing the Work Environment

Mohammed-Aminu Sanda1, Ylva Fältholm1, Lena Abrahamsson1, Jan
Johansson11Luleå University of Technology, Sweden

This paper looks at the challenges that most organizations face inthe management of their work environments, with respect to thetools that they can use to effectively capture both the explicit andtacit knowledge held by their employees for subsequent reuse
when decisions need to be made. The problem-identification
workshop, which is a macroergonomic tool for enhancing themanagement of work environment in an organization, was tested
in an organization. Participants identified organizational problems,
proposed solutions to them, realistically assessed the desirability
and possibility of these solutions, and finally recommended actionplans to the organization for its short-term, intermediate andlong-term design and management of effective work environment
towards enhancing work life and productivity in the organization.
It was concluded that problem-identification workshop is a goodsocio-pedagogic method that can be used as an intelligent
participatory intervention tool by managers in organizations in the
management of their work environments.
Foot Measurements from 2D Digital Images

Shuping Xiong1, Yulin Li1, Yi Zhu1, Jingxing Qian1, Dong Yang2
Shanghai Jiao Tong University, China
2
Donghua University, China
1

Foot measurements play an important role in the design ofcomfortable footwear products. This study proposed a
non-invasive and efficient means to obtain foot measurementsfrom 2D digital foot images. The hardware of the proposed
image-based measuring system was easy to set up and thedeveloped measuring system was tested for 9 foot measurementswith ten male subjects who were also manually measured. The
comparison between foot measurements from the image-based
and the traditionally manual measured systems showed that there
were no significant differences between two systems on 8 out of 9
foot measurements. The errors on foot measurements from theimage-based system were also analyzed and discussed. The
proposed image-based system under further improvements may
be applied into the online sales of shoes, especially customized
shoes.

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Designing Lifting Task in Shoe Industry using Genetic
Algorithm

Sanjay Srivastava1, Kamal Srivastava1, Swati N1, Yogesh Anand1, V.
Soamidas1
1
Dayalbagh Educational Institute, India

We present an application of a genetic algorithm (GA) based
method to the design of hideunloading job, an asymmetric liftingtask in shoe industry of Agra, India. In India, which has the second
largest shoe industry in the world, it is labor intensive andconcentrated in the small and cottage industry sector with Agrabeing a major production hub. Due to awkward postures and highload handling in hide-unloading, workers are exposed toergonomic hazards. The design of hide-unloading job in thepresent work with an aim to reduce the risk to back injury in thepurview of revised NIOSH equation. We carry out our study infour shoe manufacturing firms in Agra. The study was conducted
on a total of 20 workers, 5 from each firm. It is observed thatworkers assume different awkward postures mainly due to bulky
and unstable load handling. The potency of the study is to present
multiple optimal solutions to the design problem using GA while
meeting safety and productivity requirements in a given
workplace environment conditions. Multiple optimal solutions
provide greater agility to ergonomist to implement therecommended design solutions.
Measuring Member Performance in Multi-functional R&D
Teams: An Empirical Study with GAHP Analysis
Jie Zhu1, Shuang Chen1, Qiang Lu1
1
Shenzhen Graduate School, Harbin Institute of Technology, China

This paper intends to develop a system for measuring teammember performance in multi-functional R&D projects.
Performance, competence and behavior are identified as thefirst-level measures, consisting of 16 indicators at the second level.
Then we use the survey method to collect data, with effective
samples of 162 from 30 multi-functional R&D project teams, and
the Group Analytic Hierarchy Process (GAHP) to analyze the data.
The weights for performance indicators with different functions
are calculated and compared with previous outcome in existing
literature. A case study is then conducted to verify the mode with asatisfactory outcome.
Structural Analysis of Approaches for Worker Participation
Uwe Dombrowski1, Tim Mielke1, Sven Schulze1
1
Technische Universität Braunschweig, Germany

The participation of workers is one of the main topics ofmanufacturing enterprises. The goal is to increase the satisfaction,
motivation and thus the productivity of workers, to use thecreativity and the knowledge of the whole workforce to improve
processes and to reward workers for their commitment. The
approaches for worker participation vary widely. Examples would
be surveys about labor conditions, participation in planning
processes for the layout of their workplaces or employee profit
sharing. In the course of a rising spread of lean production systems
the degree of participation increases. The common consent for theparticipation declines as more responsibility is assigned to theworker. In this paper the different forms of participation will be
described and clustered. Furthermore, criteria for the selection ofadequate methods of participation will be derived.

Session
Date
Time
Room
ChairsHuman Factors (2)8/12/2010
15:30 - 17:15
NAPLES 2601
Masahiro Aruga; Zhizhong Li

Studying Into Relationship Between Strategy andOrganizational Structure at Power Distribution Company for
Tehran Province Districts
Toraj Mojibi1, Mona Milani1, Yasaman Khalili2, Soheil Khorshidi31Islamic Azad University, Iran2
Payame Noor University, Iran
3
Ministry of Education, Iran

The present research studies the relationship between
organizational structure and the four strategies of Snow and Milesat Power Distribution for Tehran Province Districts. Researchfindings indicate high complexity and formalization and low
centralization at organizational structure. The type of dominant
strategy is analyzer strategy. Also the results of these findings
show a lack of significant relationship between strategy andcentralization of organizational structure, strategy and complexityof organizational structure, and strategy and formalization oforganizational structure.
A Modeling Consideration of the Latent Characters of theInformation System and Amounts based on the Philosophicaland Nervous Elements
Masahiro Aruga1, Masayuki Aruga2
1
Tokai University, Japan
2
The Open University of Japan,

We have already presented the concepts of new information
amounts on the communication system among ordinary people
and the handicapped persons. During these discussion we haveneeded the consideration of philosophical elements, for instance,
the interpretants of the Peirce's semiotics. In this paper, firstly thehistorical outline of the communication system and information
amounts for the handicapped persons is briefly described.
Secondly the consideration of philosophical existences and theirstructures and their expanded concepts are described on the basisof the Peirce's semiotics. Thirdly the outline of compartment
system and the compartment system models based on thephilosophical existences are discussed. As a result we consider thedeveloped new information amounts able to be applied to thehandicapped situations, and estimate the latent characters of theseinformation systems considering the nervous system on the basisof these compartment system models. And finally the conclusionand further works are described.
Examining the Mediating Effect of Innovative Culture in the
Relationship Between Leadership and Knowledge-based
Customer Relationship Implementation
Andy, Li Yueh Chen1
1
MingDao University, Taiwan

This study examined how transformational leadership styles affectinnovative culture, and consequently affect the implementation ofknowledge-based customer relationship management in the
Taiwanese hotel industry. A model of these relationships wascreated based on earlier research and used Bass and Avolio's
Multi-Factor Leadership Questionnaire, a 12-item scale forassessing innovative culture along with questions to assess amulti-dimensional construct for CRM. The model was tested andmodified using structural equation modeling.
The results
generally support a positive relationship between transformational
leadership styles, innovative culture and the implementation of
KCRM. In particularly, the mediated role of organizationalinnovative culture was found between transformational leadershipstyles and the implementation of KCRM. Suggestions for future
research are also included.

Sonar-based Obstacle Avoidance Using a Path Correction
Method for Autonomous Control of a Biped Robot for the
Learning Stratification and Performance

Cheng-Hsuan Tsai1, Po-Hsuan Huang1, Wei Chung Chou1, Chia-Hung Shih1,
Chen-Yuan Chen2, Bih-Yaw Shih1, Chin-Jui Chang3, Cheng-Wu Chen4,
Tsung-Hao Chen5, Wan-I Lee2, Pei-Yin Chung6
1National Pingtung University of Education, Taiwan
2
National Kaohsiung First University of Science and Technology, Taiwan
3
Transworld University, Taiwan
4
National Kaohsiung Marine University, Taiwan
5
Shu-Te University, Taiwan
6
Meiho University, Taiwan

In this paper, a simple path correction and obstacle avoidance
method with a bipedal robot for the learning stratification andperformance, using an ultrasonic sensor and electronic compass
sensor, is proposed. This bipedal robot was comprised using theLego NXT Intelligent Bricks. The proposed method isimplemented on an autonomous humanoid robot (the ARSR). One
ultrasonic sensor and one electronic compass sensor are installedon the ARSR to detect environmental information including
obstacles, the distance to the obstacle, and the directional angle of
the robot. Based on the obtained information, an obstacle
avoidance and path correct method is proposed to decide the
ARSR’s behavior so that it can avoid obstacles and move effectively
to the destination area. Obstacle avoidance experiments are carriedout to confirm the effectiveness of the proposed method andconfirm the learning stratification and performance.
Feature Extraction of Three Dimensional (3D) Facial Landmarks
Using Spin Image
Xin Zhang1, Na Fan2, Xiao Chen3, Linhua Ran1, Jianwei Niu2
1
China National Institute of Standardization, China
2
University of Science and Technology Beijing, China
3
Quartermaster Research Institute, China

3D anthropometric data can be obtained more easily than several
years ago, but to process 3D data is most challenging and local
feature extraction is one of the challenges. To extract local featuresof a landmark on 3D anthropometric data, numerous methods
have been proposed. But the method with high efficiency, goodrobustness and strong adaptability is still not found out. In thispaper, an approach using spin image was adopted to describe the
3D facial landmark features. Two hundred 3D head data of young
male Chinese soldiers collected by a Chinese military institute in2002 were analyzed. Preliminary results show that spin image ishighly efficient and robust to pose and lighting. Further
investigation is necessary to evaluate the feature descriptive abilityof Spin Image in future 3D landmark automatic identification.
Reducing the Risk of Heat Stress Using Artificial Neural
Networks Based Job-combination Approach
Sanjay Srivastava1, Yogesh Anand1, V. Soamidas1
1
Dayalbagh Educational Institute, India

We design and implement a system to reduce the risk of heat stress,a recognized occupational health hazard (OHH), in two labor
intensive industries using a job-combination approach. A novel
feature of the system is employing artificial neural networks(ANNs) as model free estimators to evaluate perceived discomforts(PDs) of workers for different job combinations proposed in the
work.

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Session
Date
Time
Room
ChairsManufacturing Systems (1)8/12/2010
11:00 - 12:30
SICILY 2502
S.S. Mahapatra; Carman Ka Man Lee

Effective Nesting of Layer Manufacturing Fabricated Parts Usinga Genetic Algorithm and a Bottom-Left Ray Casting Procedure
Vassilis Canellidis1, John Giannatsis1, Vassilis Dedoussis1
1
University of Piraeus, Greece

Two aspects have been identified to be the key elements to theeffective utilization of Layer Manufacturing (LM) technologies,that is maximization of the build volume and part orientation. The
present work examines the utilization of a Genetic Algorithm inconjunction with effective placement rules as a mean of optimizing
the build volume of LM technologies. The optimization is achieved
via the dense nesting of parts, to be fabricated, on the LM machine
platform. The software tool developed tackles the 2D nesting
problem associated with the parts projections on the machine
platform. The effectiveness and reliability of the proposed
methodology is demonstrated via a case study concerning
representative "real-world" parts/objects with quite general freeform geometry.
Heuristic Procedure for Mixed Model Assembly Line Balancing
ProblemVenkatesh Jonnalagedda1, Balaji Dabade1
1
SGGS Institue of Engineering and Technology, India

Mixed model assembly lines are imperative for catering to thehighly customized demands. Such lines assemble multiple
products in an intermixed sequence. Design of an assembly line
involves balancing procedure: allocation of work elements into
workstations. Assembly line balancing problems are NP-hard evenfor single model assembly lines and therefore heuristic procedures
are often used to avoid the thorny dimensionality issue. Fast,
efficient heuristics can be very handy tools for balancing the mixed
model lines as the retrieval of feasible solutions is generally
sufficient in real life. This paper presents seven priority rules thatcan be used in conjunction with a station oriented approach tosolve Mixed Model Assembly Line Balancing Problem of type - II
wherein number of workstations is given. Proposal of the priority
rules and station oriented heuristic is based on the knowledge thatminimizing cycle time alone is not a sufficient objective for mixed
model assembly lines.
A Web-based Collaborative QFD System to Aid Children
Backpack Design
Kevin Tseng1, Cho-Chi Hsu1
1
Chang Gung University, Taiwan

This research aims to propose a collaborative QFD approach, andto develop a web-based collaborative QFD system. Hence, theproposed system was developed, and an industrial case waschosen to validate the capabilities of the proposed system, which
include extraction of advices and comments from cross-field
experts, direct connection of the relations between users’ needs,
and product attributes, elimination of the complexity and error of
traditional QFD system, and fill of its deficiency on collaborative
system interoperability.

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Optimization Problems Related to Triangular Pocket Machining
Apriani Soepardi1, Mochammad Chaeron1, Fahryl Aini2
1
University of National Development, Indonesia
2
Insan Teknologi Semesta Ltd., Indonesia

This paper deals with optimization of pocket machining
operations. The objective of this research is to extend the pocket
machining algorithms that ever exist. The development aimed to
identify the angle of triangular areas that can reduce the number ofsteps in the inner portion stage (IPS) process and corner portion
stage (CPS) process. This step reduction makes the cutting-tool orcutter path length becomes shorter. With shorter cutter path length
the machining time will become shorter too. The reducing ofmachining time will reduce production costs.
Grinding Path Optimization for The Roll Grinding Machine
Apisak Phromfaiy1, Kawin Sonthipermpoon1, Erik Bohez2
1
University of Naresuan, Thailand
2
Asian Institute of Technology, Thailand

In the steel industry the roll grinding machine has become
important for maintenance. The rolls always have surface or shapeerrors after plastically deforming steel slabs to the steel plate. Thiserror affects the manufacturing quality of the steel plate
manufacturing process. There are many parameters for the
manufacture of the roll grinding machine, such as speed of roll,
speed of grinding wheel and speed of moving horizontally etc. The
objective of this work is to reduce the surface error of the roll byusing a helical path method. One of the important problems withthe roll grinding machine is the coordinated control of the spindle
axis roll speed and the z-axis speed; a lower roll speed and fast axis
movement will make a roll curve error. To reduce this error ahelical path was used. The helical path was used for the
C-Axis(C-axis converted from the spindle axis). The results wereanalyzed using a mathematical model to compare the effects of theconventional method and the helical path method. It was foundthat the helical path method reduced the error by about 7.8 %.
Simultaneous Microchannel Formation and Copper Deposition
on Silicon Along with Surface Treatment
Anjali Kulkarni1, Vijay Kumar Jain1, K. A. Misra2
1
Indian Institute of Technology, India
2
Harcourt Butler Technological Institute, India

A process for simultaneous surface treatment, micromachining
and copper deposition on silicon wafer is reported here. The
process addresses three issues viz. surface treatment,
micromachining to form microchannels and subsequent copper
deposition into this microchannel on silicon surface
simultaneously. The suggested process is based on theelectrochemical spark phenomenon. At a time, in its conventional
form it is used either for machining or for the deposition purposes.
With the use of an alternating voltage (AC) supply, all the threephenomena are achieved simultaneously. Microchannels withcopper deposition in them are characterized using scanningelectron microscope (SEM), and elemental diffraction analysis
using x rays (EDAX).

Session
Date
Time
Room
ChairsManufacturing Systems (2)8/12/2010
13:30 - 15:00
SICILY 2502
Kevin Tseng; Nirjhar Roy

Application of Hierarchical Colored Petri Net in Distributed
Manufacturing Network
Yaqiong Lv1, Carman Ka Man Lee1
1
Nanyang Technological University, Singapore

Colored Petri net (CPN) is a powerful tool for modeling,simulation and analysis for manufacturing system. As the
emergency of Distributed Manufacturing System (DMS), CPN has
to be extended to competent for larger and more complex model.
Meanwhile, DMS becomes an important issue for industry andhow to model a complex manufacturing network for better
throughout needs further investigation. This paper provides a
general structure of DMS, and use hierarchical CPN, which is theextension for normal CPN, to model a simplified DMS. The
proposed approach shows huge superiority on modeling large
complex manufacturing system which makes the material flow
and transitions clearly represented and provides overview anddetailed description for DMS.
Manufacturing Cell Formation under Probabilistic Product Mix
Madhusudanan Pillai1, M. P. Chandrasekharan2
1
National Institiute of Technology Calicut, India
2
Amrita Viswa Vidya Peetham, India

A Multi-plant Tolerance Allocation Model for Assembled
Electronic Products in Green Supply Chain Management
Feng-Yi Huang1, Yuan-Jye Tseng1
1
Yuan Ze University, Taiwan

Due to increased environmental consciousness, customers areaware of the world’s environmental problems in the last few
decades. The green principles have been expanded to many
departments within organization, including supply chain. Green
Supply Chain Management (GSCM) covering every stage inmanufacturing from the first to the last stage of life cycle has
emerged in the last few years. In this research, GSCM is theconcept for manufacturing that minimizes waste through productand process design, including the definition of the productconstruction, production, and recycling. To achieve the concept of
GSCM, tolerance allocation for assembling a product needs toconsider how a product can be disassembled and recycled before
the product is planned to be assembled. In this research, amulti-plant tolerance allocation model for assembled electronic
products is presented. Firstly, tolerance allocation model ispresented to determine the working tolerance of each of thecomponents. A mathematical programming model is presented toassign the components to the suitable plants with the cost
objectives of manufacturing costs and GSCM costs. An example
product is tested and illustrated.
Study on Implementation Strategies of EPR-Driven
Remanufacturing in China
Yi Wu1
1
Shanghai University, China

Changes in environment badly affect the performance of thecellular manufacturing system (CMS). Changes in environment are
generally reflected in the demand of the items, which are producedin the CMS. The variation in demand can be characterised
probabilistically. Two ways of characterisation of this demand are
discrete random product mix and random product demand. This
paper suggests that, a better CMS design will be obtained if thedesign is prepared for an expected scenario of the production
system when the system is subjected discrete random product mix.
The expected inter-cell traffic when this design is subjected to all
scenarios will be better than the expected inter-cell traffic of adesign which is good for a scenario when applied to all scenarios.
The inputs for the design of CMS are machine sequence for thevarious items (component, subassembly or assembly) used in the
product, product structure and demand of product.

Remanufacturing is of great importance to China. Extended
producer responsibility, as a new environmental managerial
system, provides systematic support to remanufacturing. Whenfollowing the logic of extended producer responsibility, producers
are motivated to exert early efforts at the design stage, and follow
up with integrated management over the value chain. The
implementation path and implementation conditions ofremanufacturing are discussed based on this argument. A case of
automobile remanufacturing in China is analyzed with somepotential problems identified. Implementation strategies of
EPR-driven remanufacturing in China are put forward in the end.

An Improved Artificial Immune System for Solving Loading
Problems in Flexible Manufacturing Systems

This paper presents a new framework for the assembly planning ofaircraft which integrates assembly sequence planning (ASP) with
CAPP on the basis of the standardized mathematical model ofpolychromatic sets. This paper fulfills three main tasks including
the selection of location mode and assembly equipments, assembly
sequence planning, and assembly process planning based on aunified model, which may bring forward a new development
direction in the assembly planning of aircraft.

Prasant Ranjan Dhal1, Mohapatra S S1, Saurav Datta1, Antaryami Mishra1
1
National Institute of Technology, India

Flexible manufacturing system (FMS) has been a focal point in
manufacturing related research for improving competitiveness.
Machine loading problem in FMS is known to be NP-hardproblems and its complexity so extensive that even small problems
take excessive computational time to reach the optimal solution.
Since the problem has been recognized as one of the mostimportant planning problems, it needs to be solved before actual
manufacturing. The objective of the loading problems is tominimize the system unbalance and maximize the throughput
satisfying the technological constraints such as availability ofmachining time and tool slots. To ease the tedious computations,and to get a good solution for large problems, this paper proposes
an improved artificial immune system algorithm. It demonstrated
the capabilities of the proposed algorithm to converge faster and toa better solution than other comparable techniques. For the samecause, the proposed algorithm has been tested over a set ofbenchmark problems taken from open literature.

Assembly Planning of Aircraft Based on Polychromatic SetsSong Wang1, Jun Hong1, Yunlong Li1, Yi Zhang1, Zongbin Li1
1
Xi’an Jiaotong University, China

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Session
Date
Time
Room
ChairsReliability & Maintenance Engineering (1)8/12/2010
15:30 - 17:15
SICILY 2502
Jihong Yan; Ming-Der Yang

A Checkpoint Scheme with Task Duplication Considering
Transient and Permanent Faults
Jung-Min Yang1, Seong Woo Kwak2
1
Catholic University of Daegu, South Korea
2
Keimyung University, South Korea

Proposed here is a novel architecture for a faulttolerant real-timesystem. We employ a checkpoint rollback strategy with double
modular redundancy. Main consideration is given to how torecover from both transient and permanent faults without any
built-in fault-detection modules or spare processors. Besides statecomparison between duplicated tasks, the system has access to thestate of the previous checkpoint so that the integrity of a processor
can be checked. Using a Markov model capturing the behavior of
the proposed scheme, we calculate the probability of taskcompletion against faults that occur in a Poisson process. The
optimal number of checkpoints is selected so as to maximize theprobability of task completion.
A Study of Applying the Bounded Generalized Pareto
Distribution to the Analysis of Software Fault Distribution
Chih-Song Kuo1, Chin-Yu Huang1
1
National Tsing Hua University, Taiwan

Software is currently a key part of many safety-critical applications.
But the main problem facing the computer industry is how todevelop a software with (ultra) high reliability on time, and assure
the quality of software. In the past, some researchers reported that
the Pareto distribution (PD) and the Weibull distribution (WD)models can be used for software reliability estimation and fault
distribution modeling. In this paper we propose a modified PD
model to predict and assess the software fault distribution. That is,
we suggest using a special form of the Generalized Pareto
distribution (GPD) model, named the bounded Generalized Pareto
distribution (BGPD) model. We will show that the BGPD model
eliminates several modeling issues that arise in the PD model, andperform detailed comparisons based on real software fault data.
Experimental result shows that the proposed BGPD model
presents very high fitness to the actual fault data. In the end, weconclude that the distribution of faults in a large software system
can be well described by the Pareto principle.
Change-Point Modeling for Software Reliability Assessment
Depending on Two-Types of Reliability Growth Factors
Shinji Inoue1, Shigeru Yamada1
1
Tottori University, Japan

We often observe a phenomenon that a stochastic characteristic ofsoftware failure-occurrence time or software failure-occurrencetime-interval changes notably in an actual testing-phase of asoftware development process. The testing-time when suchphenomenon is observed is called change-point. It is said that theeffect of change-point on the software reliability growth process
influences accuracy for software reliability assessment based on asoftware reliability growth model (SRGM). This paper discusses a
two-dimensional software reliability growth modeling frameworkwith change-point, in which the software reliability growth
process is assumed to depend on the simultaneous testing-timeand testing-effort factors. Further, we show examples of theapplications of software reliability assessment based on a
two-dimensional SRGM developed under our modelingframework by using actual data.
Sewerage Rehabilitation Planning

Ming-Der Yang1, T. C. Su2, Nang-Fei Pan3, P. Liu41
National Chung Hsing University, Taiwan
2
National Quemoy University, Taiwan
3
National Cheng Kung University, Taiwan
4Feng Chia University, Taiwan

Following the construction completion of the new infrastructuresof sewerage, sewerage rehabilitation planning is the major work.
This paper presents a systematic sewerage rehabilitation planningconsisting of sewer inspection, diagnosis of pipe defects, grading
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of sewerage structural conditions, and determination of
cost-effectiveness rehabilitation methods and substitution pipematerials. The main purpose of sewer inspection is to acquire
closed circuit TV (CCTV) images for diagnosis of pipe defects. For
diagnosis of pipe defects, a computer aided approach rather than
the tradition manual interpretation is presented, and the overall
diagnosis accuracies of above 90% are obtained. Also, genetic
algorithm (GA) is used to design an optimization model to find out
the multi-optimal sewer rehabilitation approaches. Finally, a set of
optimal sewerage rehabilitation plans is searched.
An Investigation Into Whether the NHPP Framework Is Suitable
For Software Reliability Prediction and Estimation
Chu-Ti Lin1, Kai-Wei Tang1, Jun-Ru Chang2, Chin-Yu Huang2
1
National Chiayi University, Taiwan
2
National Tsing Hua University, Taiwan

Many software reliability growth models (SRGMs) based on
non-homogeneous Poisson process (NHPP) framework have been
proposed for estimating the reliability growth of products.
However, some concerns regarding the properties of NHPP
framework were exposed and discussed while the NHPP models
have received considerable attention. Two main concerns are (I) the
variance of an NHPP-based model grows as software testingproceeds, which was considered an unreasonable NHPP property
for describing software failure behavior; and (II) the numbers offailures observed in disjoint time intervals are independent, which
may fails in the early stage of software testing. With regard toConcern (I), we will justify the validity of NHPP framework
through a mathematical perspective, i.e. the process of parameter
estimation for NHPP models. Considering Concern (II), we will
explain why NHPP SRGMs are still workable from the applicable
perspectives. As a result, we believe the NHPP framework may
still have merit.
Availability Assessment of a Multi-State Repairable Bubble
Gum Production System
Pardeep Gupta1, Atul Goyal2
1Sant Longowal Institute of Engineering & Technology, India
2
Lala Lajpat Rai Institute of Engineering & Technology, India

This paper demonstrates a mathematical model based on Markov
Modeling of a complex multistate repairable bubble gum
production system with an attempt to improve its availability. The
preemptive resume priority repair discipline is followed to carryout repairs of sub-units of the system. The failure rates of all thedifferent subcomponents of the system are taken as constantwhereas their repair times are taken to follow general distribution.
The mathematical model is established using probability
considerations and supplementary variable technique. Lagrange’s
method for partial differential equations is utilized to obtain thestate probabilities. The reliability characteristics are evaluated inaccordance with practical situation and operational behavior of thesystem is analyzed. Availability analysis of the system helped in
identifying the critical factors and assessing their impact on thesystem availability. The effect of using single repair facility toperform repairs on priority is compared with employing multi
repair facility to perform repairs immediately.
Residual-based Inspection/Replacement Policy for a
Deteriorating System with Markovian Covariates
Xuejing Zhao1, Mitra Fouladirad2, Christophe Berenguer2
1
Lanzhou University, China
2
Troyes University of Technology, FranceThis paper investigates a residual-based maintenance policy for astochastic deteriorating system, which is influenced by aMarkovian covariates process. The baseline stochastic
deterioration is modeled by a Gamma process, and the covariates
process is assumed to be a time-homogeneous finite-state Markov
chain. A model similar to the proportional hazards model is used
to represent the influence of the covariates. A residual-based
inspection scheme, depending on the degradation level as well as
the covariates state, is proposed. We derive the optimal
maintenance threshold, optimal inspection scheme to minimize theexpected average maintenance cost. By Monte Carlo simulations
the efficiency of our method is studied.

Session
Date
Time
Room
Chairs

Project Management (1)8/12/2010
11:00 - 12:30
SICILY 2402
Norbert Trautmann; Luciana Alencar

Project Scheduling with Alternative Technologies: Incorporating
Varying Activity Duration Variability
Stefan Creemers1, Roel Leus1, Bert De Reyck2
1
Katholieke Universiteit Leuven, Belgium
2
University College London, United Kingdom

We look into project scheduling with expected-NPV objective andstochastic activity durations. Individual activities carry a risk offailure, and an activity's failure can cause the overall project to fail.
More than one alternative may exist for reaching intermediate
project deliverables, and these alternatives can be implemented
either in parallel or sequentially. In this paper, optimal solutions tothe scheduling problem are found by means of stochastic dynamic
programming. We examine the impact of the variability of activity
durations on the project's value. We also illustrate that higher
operational variability does not always lead to lower project values,
meaning that (sometimes costly) variance-reduction strategies are
not always advisable.
Preemptive Resource Constrained Project Scheduling Problem
with Uncertain Resource Availabilities: Investigate Worth of
Proactive Strategies
Mohamad Fallah1, M.Bahador Aryanezhad2, Behzad Ashtiani2
1Islamic Azad University, Iran
2
Iran University of Science and Technology, IranResource constraint project scheduling problem under stochastic
circumstances have been considered in recent decades where
uncertainty is modeled by means of activities' duration. In thispaper we study an extension of basic stochastic RCPSP in which
uncertainty come to play on resource availabilities. We have also
pursued preempt-resume mode in case of activities breakdown
due to resource infeasibility. A solution for this variant of RCPSP is
defined in two steps by utilizing heuristic procedures for creating
initial schedule and adding time and resource buffers in order toyields proactive schedule to cope with adverse effects ofuncertainties. Numerical results revealed that proposed procedureyields significant performance gains over the ignorance of
proactive strategies.

A Two-stage Stochastic Programming Model for Resource
Allocation in Project Management
Dongsheng Xu1, Yinhua Ye1, Yingna Lu1, Shujin Deng1
1
Sun Yat-sen University, China

In a large-scale construction project, the project manager needs toallocate many resources, including numerous workers, various
kinds of materials, and a lot of cash. Therefore how to allocate
resources and to control cash flow ahead of time is particularly
important. The general contract and material price fluctuation
make the project manager to take great risk. In this paper, weestablish a two-stage stochastic programming model which takes
price fluctuation, working capital and other necessary constraints
into account. We employ a sample-based heuristic to study how
price fluctuation affects the progress schedule of the project. We
also conduct sensitivity analysis on the parameters of working
capital, pay ratio and labor cost.
Optimal Modular Design Policy for Complex Systems in
Considering Coordination Costs
Bingyin Bao1, Suxiu Xu1, Qiang Lu1
1
Shenzhen Graduate School, Harbin Institute of Technology, China

There have already been a number of managerial and engineering
articles that focus on modularity, but none on the issues that the
optimal modularity level of complex systems poses in terms of real
options and coordination theory. To fill this gap, we develop a
modularity profit model based on real options and coordination
theory to examine the trade-off between modularity values andcosts especially coordination costs. Two key findings are that: (1) In
an expensive test and integration environment, it's optimal for an
organization to divide a system into fewer modules and run fewer
experiments on each, and further reduce the number of
independent parallel design when unit coordination cost is high; (2)In a sophisticated test and integration environment, the optimal
splitting policy depends on coordination factors such as ex-antecoordination effectiveness and bug-fixing cost, but the optimal
substitution policy only depends on unit design cost.

Factors Influencing Project Quality in the Design Phase of
Building Projects. A Case in the Department of Building andEngineering Services of Botswana
Emmanuel Dodoo1, Corro Van Waveren1, K.Y Chan1
1
University of Pretoria, South Africa

There were numerous complaints regarding the quality of building
projects ran by the Department of Building and Engineering
Services (DBES) in Botswana. The aim of this study is to evaluate
participants involving DBES projects by using 16 factors in the
project design phase which may influence the quality of building
projects. Empirical results show that DBES lacks commitment tocontinuous quality improvement and poor use of lessons learned
to improve quality. The key focus area is adherence to project
management principles and poor level in this area may contributetowards DBES’s poor project quality. Moreover, this study
identified 3 types of groups based from the respondents’ attributesand explored the differences in group means.

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Session
Date
Time
Room
ChairsEngineering Education & Training
8/12/2010
13:30 - 15:00
SICILY 2402
Fu-Man Hsieh; Seng Fat Wong

Assessing Core Competencies and Their Training Demands for
Industrial Safety and Hygiene Professional Engineers in Taiwan
Fu-Man Hsieh1, Yichun Yu2, Y.C. Lin2, Perng-Jy Tsai3
1
Wenzao Ursuline College of Languages, Taiwan
2
Institute of Occupational Safety and Health, Taiwan
3
National Cheng Kung University, Taiwan

This study was set out to investigate the contents of corecompetences and their training demands for industrial safety andhygiene professional engineers (ISHPEs). The contents of 7 coreand 35 sub-core competences were developed and used to conduct
field surveys to safety and health managers (SHMs) from two
types of industry of the high-tech and traditional, respectively.
Both the “deficiency” of ISHPEs and the “importance” of each
investigated sub-core competence were assessed by the SHMs
from each selected industry type using a 5-point Likert scale (5:very high; 4: high; 3: moderate; 2: low; 1: very low). We found that
9 out of 35, and 13 out of 35 sub-core competences were “highdeficiency” and “high importance”, respectively. The Bayesian
decision making process was used to determine the training
demand of each investigated sub-core competence. We found that
16 and 14 sub-core competences were determined as “high training
demand” for ISHPEs based on judgments made by SHMs of thehigh-tech and traditional industry, respectively. Among them, 13
were consistently identified by SHMs of the both types should beconsidered the first priority subjects for conducting on-the-job
trainings for ISHPEs.
Learning Construction Procurement Negotiation in an
Educational Game
Pei-Ru Wang1, R. J. Dzeng1, N. F. Pan2
1
National Chiao-Tung University, Taiwan
2
National Cheng Kung University, Taiwan

This study aimed to establish a conceptual model for negotiation
games, in which multiple opportunities for engineering projects
were provided, and players were thus allowed to improve thenegotiation profits by integrating different procurement items
from different projects. Students were able to play the role of aconstructor or a supplier, distinguished by the initial capital orscore. Accordingly, the constructor and the supplier reacheddifferent outcomes in the game, and the outcomes were put underevaluation and compared with the achievements of all players. The
game adopted a rule that both sides of the players kept track of thenegotiation process, either with props or on a written recording
form. The game was administered in a classroom setting, followedby the administration of a questionnaire, an interview and a test
for further exploration on the learning efficacy of this game model.
Applied RFID and Virtual Reality Technology in Professional
Training System for Manufacturing
Seng Fat Wong1, Zhixin Yang1, N. Cao1, W. I. Ho1
1
University of Macau, Macau

Enhancing the professional knowledge in different levels of
operator is a critical success factor to advance the performance of
manufacturing industry. However, the traditional training systemis lack of scientific method to transfer the professional knowledge(tacit knowledge) to the operator. Applied RFID and Virtual
Reality Technology in Knowledge-based Training System canconvert the tacit knowledge to the explicit knowledge to different
levels of operator. The trainee can capture the basic operation skill
through the web-enabled and knowledge-based training system.
Moreover, the system can provide the working experience andoperation history about the production and tool application to thetrainee through RFID technology. They can quickly andconveniently search their target tools that will apply the real
manufacturing processes without any human-being supervising.
The cost of training resource can be saved, because the workload ofsupervisor or senior operation is reduced. The senior operation canreport the updating and real-time situation of production and tools
through RFID technology with knowledge-based training system.
The closed loop knowledge can enhance the precision level ofanalysis results of production system. The industry can besustainable development through this system.
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Compositive Support System and Evaluation System Study on
Engineering Equipment’s Use Course Management
Yongsheng Jin1, Guowei Wei1, Ding Wei2, Yueguo Shen3
1
Beijing University of Posts and Telecommunications, China
2
Peking University, China
3
PLA University of Science and Technology, China

To resolve the complex problem of use course management ofengineering equipment, the actuality thought and method forequipment’s use course compositive management are mentioned
in this paper, and a evaluating index system of use course
management system of engineering equipment is established. This
paper also discussed the solution to engineering equipment’s
compositive management support evaluation system based oncomponent technology, which is an open and universal system andcan suit to diverse levels and regions. At last, the systemcomponent model is put forward. This provides a new methods
and ways for engineering equipment’s support system,organize
framework and management pattern.
Establishing an Energy Education Experience Course Program in
TaiwanHow-Gao Hsu1, Wei-Hsien Huang1, Hui-Yun Fu1, Tun-Ping Teng1
1
National Taiwan Normal University, Taiwan

This research aims to develop elementary school students'
energy-saving knowledge through education programs centeringon training college students into cadre teacher, who serve as
pioneers that would teach young children in camps or incommunity activities. This informal education mode initiallyadopted in Taiwan and applied to teaching materials related toenergy-saving education development was promoted in three
districts of Taipei, Taichung, and Hualian, in which 67
undergraduates participated in teacher-training camps and 202
students participated in energy education experience camps. The
records of t-test pretest-posttest in teacher training programs andthe result of t-test in questionnaires responded by elementary
school students revealed that there existed significant difference instatistical powers, manifesting the high value of this research.
Study of the Ability and the Education System of Professionals
on Housing Maintenance Engineering
Yunbo Xu1, Leilei Gao1
1
Henan Institute of Engineering, China

Housing maintenance has its own unique characteristics andcontent, therefore, professional knowledge structure and ability of
Housing Maintenance Engineers have a special quality
requirement. Currently, because of its historical reasons of China's
higher engineering education system, there is a gap between
engineering education and housing maintenance system. Based on
the analysis, this paper proposes feasible solutions to adapt toChina's national conditions on the Education System of the
Housing Maintenance Engineers. That is establish the Housing
Maintenance Engineer Education System, it include establish andimprove the system of higher engineering education, reform of thecurriculum structure of higher engineering education, improve thecontinuing education and so on.

Session
Date
Time
Room
ChairsE-business & E-Commerce
8/12/2010
15:30 - 17:15
SICILY 2402
Zhaotong Lian; Michael Johnson

Business Communication Experiences in the US, Mexico, andChina
Kejia Wu1, Malini Natarajarathinam1, Michael Johnson1, Thanigaivel
Kulandaivelu1
1
Texas A&M University, United States

Outsourcing can provide companies with a competitive advantage
in cost. Finding the right company to outsource operations can be achallenge.
Part of this challenge is communicating withprospective suppliers. Requests for quotations were sent toinjection molders in the U.S., Mexico, and China. U.S. suppliers
were found to be more responsive to e-mail and requested more
information regarding the quoted component. Chinese
manufactures were more willing to provide quotes and did so in atimely manner. Mexican manufactuers were the least responsive
and required the longest lead time to provide a quote. The
implications of supplier communication are discussed.
An Empirical Study of User Acceptance of Internet Banking: An
Integration of TAM with Trust and Self-efficacy
Hong-Lei Song1, Shuang Wang2
1
Renmin University of China, China
2
China Agricultural University, China

Internet banking has become one of the most profitablee-commerce applications in the last decades by providing
advantages for both customers and the bank. However, there is stilla large group of customers refusing to use this service. So it isnecessary to explore the reasons that influence customer
acceptance of Internet banking service. Based on the TAM, thisstudy integrates trust perception and self-efficacy to predict theuser intention. A comprehensive research model was developedand empirically examined. Results of the data analysis strongly
support the model as well as all the 9 proposed hypotheses..
An Online Group-buying Model Based on Fuzzy Theory
Chu-Chai Henry Chan1, Chien-Yu Chiang1
1
Chaoyang University of Technology, Taiwan

Group buying is becoming an increasing important trend forelectronic marketplaces. In order to enhance purchase willingnessof customers, there is a need to adopt the concept of the bargaining
in online group-buying. This research is solved through on processof generating offers by a fuzzy inference system. Three bargaining
strategies found in the literature are used in forming strategies ofpricing me-chanism. Experimental results indicate that our model
can be ac-cepted and is used again by most customers. Moreover,the increase bargaining strategy is the most satisfying forcustomers.
Factors Affecting the Continued Intention of Mobile Shopping

Chuen-Roan Kang1, Ming-Chien Hung2, Shih-Ting Yang2, Ting-Chu Hsieh3,
Shun-ming Tang1
1
National Yunlin University of Sciences and Technology, Taiwan
2
Nanhua University, Taiwan
3
WuFeng University, Taiwan

Customer Value of Social Network Service Website: Key
Components and Impacts on Customer Loyalty
Guozheng Zhang1, Faming Zhou2, Yong Lan2
1
Central South University, China
2
Hunan Agricultural University, China

An increasing number of people are processing social
communication online and the numbers are likely to increase
rapidly in the near future. It is important to analyze therelationship between customer values of social network service
and Customer Loyalty. The purpose of this paper is to answer thefollowing questions. First, what are key components of customer
value in social network service? Second, what influences therelationship between customer value and Customer Loyalty? Data
collected from 160 respondents who participate in social network
service website were used to test a research model. Several
managerial implications were derived from the analysis andfurther studies were suggested.
The Influence of Electronic Word-of-Mouth on Consumers'
Quadratic Selection: Based on the Positive Research of Banks in
Mainland China
Junfeng Liao1, Chunyan Zhong11South China University of Technology, China

Based on Technology Acceptance Model (TAM) predecessors havestudied the impact of Internet word-of-mouth on consumer’s first
selection. However, what is its impact on consumer’s quadratic
selection? This research, taking the baking industry as a carrier,analyzes the relationship among the credibility of electronic
word-of-mouth, trust, perceived risk, attraction and the intention
to use. The result of this research indicates that trust and attraction
produces a significant positive impact on the intention to use thebank; but the perceived risk is not positively influential to theintention to use to the bank. Simultaneity, it finds that when theintonation of word-of-mouth is different, male and female would
have different intentions to use the bank.
The Implications of Virtual Reality Technology in E-commerce

Hana Estifaei1, Mustafa Riza1, Hamed F. Manesh1
1
Eastern Mediterranean University, Turkey

The growth of e-commerce in recent years has opened up new
trade avenues for enterprises. It is clear that internet websites inthis context are playing an important role as the medium of
information dissemination. Many studies have been shown that
2-D representations of products are no longer impressive on
websites than before, since demands for custom-designed
products are rapidly increasing. In the consideration of theindustrial equipments, this situation becomes more importantsince such equipments are costly to buy. Due to advent ofhigh-speed network and advance in computer graphics, the Virtual
Reality (VR) technology emerged as alternative way to resolve
problems inherent to the conventional methods by improving
presentation ability and flexibility for customers. In this paper,
typical motivations are presented to highlight why and how
e-commerce can benefit from VR applications. Representative VR
applications and potentials are presented in the areas of industrial
equipment producers.

Although the mobile shopping is convenient for our daily life,
some people still discontinue their usage of mobile shopping
approach even they already have the experience. The purpose ofthis study is to understand the factors of mobile shopping
continuance. With the survey method, 500 college students ofmobile phone users were surveyed and 244 effective
questionnaires were obtained for survey analysis. This study
conducts survey probing the factors affecting the continued
intention of mobile shopping via the variables of confirmation,satisfaction, perceived usefulness, and trust. The results show thattrust can improve the explanatory power of initial Expectancy
Confirmation Model (ECM). This study also contributes to them-shopping stores for enhancing their customers’ continuance on
m-shopping and extends the researches on continuance model of
information systems.
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Session
Date
Time
Room

Poster Session 1
8/12/2010
All-Day Display
SICILY 2501

A Memetic Algorithm for the Close-Open Mixed Vehicle
Routing Problem
Ran Liu1, Zhibin Jiang1, Hongtao Hu1, Shiqing Yao1
1
Shanghai Jiao Tong University, China

Nowadays in the transportation industry carriers reduce the costs
through collaboration, e.g., sharing the assets and tasks with othercollaborative partners. In this paper, an optimization problem
called the Close-Open Mixed Vehicle Routing Problem (COMVRP)
is discussed, that can be used to assist in identifying routes when acarrier serves the customers through his private vehicles andvehicles hired from external carriers. The objective of the problem
is to minimize the fixed and variable costs for operating the private
vehicles and the hired vehicles. A mix integer programming (MIP)
model and an effective memetic algorithm are established for the
COMVRP. Computational experiments are conducted. The results
show that the proposed algorithm is able to produce highreasonable solutions within an acceptable running time, andalways outperforms the robust MIP solver CPLEX.
Development of Integrated Qualitative and Environmental
Decision Method
Ratapol Wudhikarn1, Nopasit Chakpitak1
1
Chiang Mai University, Thailand

Nowadays, several companies have to apply an appropriate
decision-making-method, in order to survive in a high competitive
circumstance. The appropriate method is one of the crucial
management methods for sustaining a business organization. Since,
recently, customers do not only concern about the quality issue, butalso environmental concerning has been considerably increased
and continually developed. Therefore, this research’s main
purpose is to develop a new quantification method integrating
both qualitative and environmental issues together for a better
result. As quality and environmental aspects are dissimilar in termof ranges and units, these differences are eliminated by using anormalization approach. This proposed decision method
employed six corrugated roofs. The outcomes present; fivedeveloping roofs are environmentally friendlier than the existingcorrugated roofs. Still, this ecological benefit is compensated with
the qualitative capability.
Developing A Consumer Experience Conceptual Model for the
Taiwanese Fine Food Culture in the Restaurant Industry
Ching-Yu Lien1, Shu-Hwa Hsiao1, Chih-Wen Huang2
1
Minghsin University of Science and Technology, Taiwan
2
Tamkang University, Taiwan

Since the consumption style change, the Experience Economy era
is coming now in Taiwan. Taiwan is a paradise of the fine food andowns diversified dietary cultures. It becomes one of the mostimportant dietary cultures in the world. In recent researches, there
are few studies are done from the decision-making viewpoints ofthe consumers to explore their experiences and feelings towards
the Taiwanese Fine Food Culture. Therefore, this study aims to
explore the experiences and feelings of the consumers towards the
Taiwanese fine food culture and attempt to develop a consumer
experience conceptual model for the Taiwanese fine food culture in
the restaurant industry. To reach the objectives of the research, thisstudy uses qualitative analysis and interviews with eighteen
consumers to collect data. This study found a new experience,“Value Experience”, which is included on consumption experienceof the Taiwanese fine food culture besides the Schmitt (1999)
experiential modules.
Calculating Lifecycle Interdependencies Based on Eco-Design
Strategies
Clemens Hepperle1, Nikolas Bradford1, Francesco Costantino2, RobertOrawski1, Stefan Langer1, Udo Lindemann1
1Technische Universitaet Muenchen, Germany
2
University of Rome “La Sapienza”, Italy

This paper presents a methodology and corresponding results how
interdependencies in-between lifecycle phases deriving from theapplication of Eco-Design strategies can be identified to support
engineering management. Thereby, interdependencies among thephases ‘Product Planning’, ‘Product Development’, ‘Production
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Planning’, ‘Production’, ‘Distribution’, ‘Utilization’, ‘Maintenance’,‘Modernization’ and ‘Product Disposal’ are analysed based on
ecological check items. To support a respective systems
understanding of the lifecycle, a MDM (Multiple Domain Matrix)
approach is carried out. Gained results are interpreted in order to ameasure the criticality of singular lifecycle phases and Eco-Design
activities. The presented approach thereby shows how different
perspectives on the lifecycle can be combined in order to allow amore sophisticated eco-oriented planning of future products. In
addition, the presented methodology can be expanded to further
Design for X-guidelines to support a lifecycle-oriented planningfrom further perspectives.
The Relationships Between Green Consumption Cognition and
Behavioral Intentions for Consumers in the Restaurant Industry
Ching-Yu Lien1, Yu-Shih Chen2, Chih-Wen Huang3
1
Minghsin University of Science and Technology, Taiwan
2
Feng Chia University, Taiwan
3
Tamkang University, Taiwan

The concept of green consumption has become a more concerning
issue for environmental protection among many countries inrecent years, especially in how to apply it to the restaurant
industry has become an important development for the restaurant
businesses in the future. The purpose of this study is to apply the
Theory of Planned Behavior (TPB) to examine the relationships
between green consumption cognition and consumption
behavioral intentions for consumers in the restaurant industry. In
this study, 620 questionnaires for consumers were totally
distributed. The effective sample size and response rate for thesurvey was 435 and 70.16% respectively. The results of this study
show that the green consumption cognition, green consumption
attitude, green subjective norm and green perceived behavioral
control for consumers in restaurants have positively significant
impacts. Meanwhile, the green consumption cognition, green
consumption attitude, green subjective norm and green perceived
behavioral control for consumers have also positively significant
impacts on their behavioral intentions of consumption forrestaurants.
The Comparison Between MAUT and PROMETHEEMin Wang1, S.-J. Lin1, Y.-C. Lo1
1
Chaoyang University of Technology, Taiwan

Multi-criteria decision making (MCDM) analysis has been utilized
to solve many real world problems. Most research used aparticular MCDM method to solve the problem in interested.
Recently, some research is interested in comparing the results
obtained by different MCDM methods. However, seldom research
provides the study about the relation or perspective between thosemethods. In this study, a preliminary discussion between two of
the most popular MCDM methods, multiattribute utility theory(MAUT) and PROMETHEE, is provided.
Regulatory Focus and Recovery Fit in Airline Overbooking
Xiang Zhang1, Peng Wang1, Yuehui Wang1, Guoxin Wang1
1
Beijing Institute of Technology, China

Improper recovery of overbooked customers may lead to severe
results. And the research on the recovery strategy in overbooking
is very insufficient. The purpose of this paper is to develop arecovery strategy based on regulatory focus theory. The study
predicts that recovery fit can lead to improved customer
satisfaction. Using situationally induced regulatory focus
experimental design, the results show that the current recovery
practices can be classified into promotion versus prevention
orientation. Customers under time pressure prefer preventing
losses, whereas time enough customers concern more about
achieving gains. A fit in recovery practices may bring higher
satisfaction for customers than those who are not fit theirregulatory orientation. The results may help airline companies
make better recovery strategies.

Development of an Adjustable Mold Box for Making Silicone
Rubber Mold

can be completed with an extended execution time. A numericalexperiment demonstrates the applicability of the proposed
scheme.

Rapid tooling technology is regarded as an important approach of
reducing the cost and time to market for new products. Silicone
rubber mold is widely employed in the indirect tooling of rapid
tooling technology because it owns flexible and elastic
characteristics so that parts with sophisticated geometry can be
fabricated. The disadvantages of traditional mold box preparation
procedure include time-consuming, more man-power and non
cost-effective. To solve this problem, an adjustable mold box
technology is proposed and implemented. It is found that thesavings in preparation time of mold box is about 98 % and it can bedone only by one person using this adjustable mold box
technology. The user-friendly man-machine interface is also
developed for increasing the efficiency in the manufacturing of thesilicone rubber mold.

Failure Rate Calculating Method of Components Based on the
Load-strength Interference Model

Chil-Chyuan Kuo1, Cheng-Yan Lin1, Xin-Zhu Wu1
1
Ming Chi University of Technology, Taiwan

A New Robust Validity Index for Fuzzy Clustering Algorithm
Horng-Lin Shieh1, Po-Lun Chang2
1
Saint John's University, Taiwan
2Lunghwa University of Science and Technology, Taiwan

This paper proposes a robust validity index for Fuzzy c-Means(FCM) algorithm. The Fuzzy c-Means algorithm has become ofmost widely used method in fuzzy clustering. After clustering, it isoften necessary to evaluate its results. Such assessment techniques
are called cluster validity. The disadvantage of FCM is that the
number of clusters must be predetermined. Even if the number ofclusters is given, the clustering results of these algorithms are
influenced by the choice of initial cluster centers. In this paper, a
new cluster validity index is proposed to evaluate the fitness ofclusters obtained by FCM. The example shows the result of
proposed index have good performances than other cluster
validities.
Analysis of the Harmonics Losses and Bearing Load forMotorized High Speed Spindle Part I: Modeling

Shih-Chang Chen1, Yu-Ling Juan1, Chia-Hui Tang1, Ching-Feng Chang1,
Tsair-Rong Chen1
1
National Changhua University of Education, Taiwan

Angular contact bearings are the most popular type of bearings
used in the motorized high speed spindle. An initial preload andoperating-induced load control are managed to ensure its rigidity,
but the centrifugal force and temperature will rise with the rapid
increase of spindle speed. Although the centrifugal force andthermo induced bearings load are applied on the spindle assembly.
This paper aims to study innovative structure solution of spindle
and develop a new type of super precision bearings which will
ensure the lifetime and high performance of spindle. Section II
proposed an improved inverter output filter, for pulse widthmodulated (PWM) drive system. The proposed filter is shown toeffectively reduce the power losses in the spindle. This usage of thefilter can improve lifetime of bearings and gain a higher output
power of the spindle. The simulations show a 20 KW, 400 Hz PWM
drive system with total loss reduced 13.36%, and a 20KW, 800HZ
PWM drive system with total loss reduced 15.77%. Therefore, thefilter configuration is an excellent contribution for PWM drive
system.
Schedulability and Optimal Checkpoint Placement forReal-Time Multi-Tasks
Seong Woo Kwak1, Jung-Min Yang2
1
Keimyung University, South Korea
2
Catholic University of Daegu, South Korea

An optimal checkpoint strategy for fault-tolerance in real-timesystems is addressed in this paper. We consider multiple real-timetasks with arbitrary periods that are scheduled by Rate Monotonic(RM) algorithm. Equidistant checkpointing is maintained for eachkind of task, while the width of checkpoint intervals is different
with respect to the task. We propose a method to determine theoptimal checkpoint interval for each task so that the probability ofcompleting all the tasks is maximized. Whenever a fault occurs to acheckpoint interval of a task, the execution time of the task would
be prolonged by rollback and re-execution of checkpoints. Our
scheme includes the schedulability test to examine whether a task

Zheng Wang1, Zengquan Wang1, A-na Wang2
1
National Key Laboratory of Diesel Engine Turbocharging Technology, China
2
Shenyang Ligong University, China

The failure fate model of components based on the load-strengthinterference model is proposed, and the relationship between the
failure rate of components and time in different cases is studied.
The existing failure rate calculation methods of components areanalyzed, and it is pointed out that these methods for calculating
the failure rate of products are all based on the statistic analysis of
fail data and can not reflect the relationship between the failure
rate and the factors. Then, the failure rate model capable ofembodying the effect of load and strength and its degradation isdeveloped with the time-dependent load-strength interference.
The results show that for the different combinations of load andstrength, the failure rate curves of components are different andhave the whole or partial characteristic of bathtub-shaped curve.
The method proposed can present the relationship between the
failure rate of components and the parameters of load and strength,
and it can be used to calculate the failure rate of components
accurately as long as the parameters of load, strength and the ruleof strength degradation are known. Hence, it is more applicable forthe reliability design and the lifecycle management of components.
Time-To-State and Availability Assessment of Multi-state
Weighted K-out-of-N: G Systems
Shahrzad Faghihroohi1, Yanfu Li2
1
National University of Singapore, Singapore
2
University of Tennesee, United States

Recently, various models are proposed for complex systems. The
multi-state k-out-of-n system is one of the successful models.
Because complex systems are often subject to aging process, thesystem state probability also changes with time. Therefore, we
extend the traditional multi-state k-out-of-n system into a dynamic
model by including the time factor. Further, based on the fact thatmost of the systems are in monitoring and recovery functions, thesystem would return back to higher states after switching to lower
states. Therefore, we propose a model to find Time-To-State (TTS)
data of reversible systems. For dynamic systems, we propose aframework which includes Universal Generating Function (UGF)
and Markov process to model system availability. For reversible
systems, a Semi-Markov process is considered and flow-graph andMoment Generating Function (MGF) are applied to derive TTS
data. Our method is applied to one real-world marinetransportation system.
Admission Control of an M/M/1 Queue with Multiple
Deterioration States

Yarlin Kuo1
1
Yunlin University of Science and Technology, Taiwan

Properly controlled arrival process via accepting or rejecting
arrivals can effectively reduce system congestion level. This paper
finds the optimal admission policy of an M/M/1 queue which issusceptible to a cumulative shock failure process. Assuming thatthe server is minimally repaired when it fails and can bepre-ventively maintained at the ends of busy periods, the optimal
admission policy of this unreliable queue is of control-limit-type
and the optimal admission control limit is such that the controller
rejects more arrival when the state of the server deteriorates more.
Modeling Impact of Product Variety on Performance in
Mixed-model Assembly System: an Artificial Neural Network
Meta-modeling Approach
Yunqing Rao1, Kunpeng Wang1, Meng-Chang Wang1
1
Huazhong University of Science and Technology, China

The increasing variety of products complicates the mixed-model
assembly process and affected the assembly system in terms of
product quality and productivity. In the paper, variety induced
manufacturing complexity with regard to choices that operators
have to make for various assembly operations is measured with
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information entropy of the average randomness in choiceprocesses. The impact of error rate associated with the complexity
on the performance of the system is analyzed by means of theinvestigation on average reaction time and speed-accuracy
trade-off. In addition, an established artificial neural network
meta-model contribute to modeling the impact of product variety
on the system performance. The artificial neural network
meta-model has superior performance than a MLR meta-model interms of experiment results and appears to be the optimal
approach to modeling impact of product variety on performance inmixed-model assembly system.
Scheduling of Television Commercials

Min-Sun Wuang1, Chang-Lin Yang1, Rong-Hwa Huang1, Shan-Ping Chuang2
1
Fu Jen Catholic University, Taiwan
2
Huafan University, Taiwan

Advertising income is a vital source of revenue for television
stations. The arrangements made when customers purchase
television advertising time should consider customer requirements,
relevant laws and regulations, and the need to fill all available
advertising time. This study presents an ant colony optimization(ACO) heuristic for establishing an effective and simple
mechanism for solving the problem of scheduling television
advertisements. The proposed mechanism was based on network
structuring and recursive calculation methods. In the proposed
approach, the scheduling mechanism and ACO heuristics aredeveloped separately, improving the performance of the method inadvertising scheduling by varying parameters or settings within
the ACO heuristic and enabling the application to be flexibly
modified by adjusting the scheduling criterion.
Bond Graph Model of a New Hydraulic Winch Test Bench on
Energy Recycle
Mengru Li1, Baofu Xu1, Zhinxin Chen2
1
Tongji University, China
2
Chinese Academy of Fishery Sciences, China

By building the power diagram of the new energy recycle
hydraulic winch test bench, analyze the power flow of this system
during obverse process. Further, establish the system bond graphmodel and present its power state equations. Then use Matlab tosimulate the energy recycle system models. The system energy
saving rate is 57.88% from simulation and 57.08% from test.
Compared with the test data, it verifies that this system model
simulates the actual working process truly and prepares for
optimal design of this system in the future.
Flight Operation-oriented Tunnel-in-the-Sky Design
Xuelin Huang1, Jiangyun Wang1
1
Beihang University, China

In order to enhance the indication performance ofTunnel-in-the-Sky (TIS) in the flight instrument to assist the pilots’operation, flight operation-oriented strategies for tunnel are
advocated. Dynamic driving strategy for tunnel is proposed togenerate tunnel data dynamically, which endows the tunnel with areturn-to-path guidance capacity. Transition strategy from thecurrent flight path to the predicted path using Clothoid is applied
to improve the tunnel traceability. To intuitively support the pilots’operation and reduce their workload, the estimated fight vector,
expected flight vector and their corresponding driving algorithms
are introduced. Experimental evaluation indicates the feasibility ofthe tunnel driving strategy and the valid effect of Clothoidtransition. Optimal predictive time parameters for flight vectors
are chosen by statistical analysis. These experiments validate theoperation-oriented Tunnel-in-the-Sky design.
How Could Non-feasible Constraints Be Located in Predictive
Control?

Teresa Alvarez1, Daniel Briongos1, Monica Garcia1
1
University of Valladolid, Spain

Model Predictive Control (MPC) is one of the most popularadvanced control techniques. One of the reasons is that it takes into
account the process constraints in a natural way. But, there aresituations (perturbations, not well defined constraints, etc.) when it
is not possible to compute a sequence of future controls becausesome constraints are violated, i.e., the problem is not feasible.
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When this sort of problem appears it is necessary to apply some
infeasibility handling procedure that recovers the feasibility.
Mainly there are two ways: removing constraints or relaxing thelimits. But it is necessary to know which constraints are
responsible for the infeasibility. There are optimization proceduresthat have been specifically developed to locate these problematic
limits. These techniques will be applied to the control problem andcompare to the approaches found in MPC papers.
Algorithm for Obstacle Classification and Lane Line
Identification Using LRF Sensors

Hung-Yuan Chung1, Zih-Yang Lin1, Hong-Wei Chen1, Hsiao-Yu Wang1
1
National Central University, Taiwan

This paper presents an algorithm for obstacle classification andlane line identification using the laser range finder (LRF) sensors,which is used to warn the driver to watch the situation ofenvironment when the ob-stacle appear in the front. The
classification of detecting objects is essential to reduce the danger
in traffic. Never-theless, there may be a noise (or road surface) in
far dis-tance. To overcome this, a quite efficient enhancement
al-gorithm of detection, segmentation and classification based on
the laser range finder (LRF) is proposed.
A Comparison Study of Five In-vehicle Warning Information
Displays with or Without Spatial Compatibility
Jing-Wun Jhuang1, Yung Ching Liu1, Yang-Kun Ou1
1
National Yunlin University of Science and Technology, Taiwan

A driving simulator study was conducted to evaluate the effect of
five in-vehicle warning information displays upon drivers’decision performance. These displays include visual display,
auditory displays with and without spatial compatibility, hybrid
displays in both visual and auditory format with and without
spatial compatibility. In this one factor within-subjects experiment,
30 voluntary drivers were recruited to perform various tasks thatinvolved driving, and stimulus-response (S-R). The corresponding
driving performance, response times, and accuracy rates were
measured and analyzed. Results show that the drivers’ best
performances were obtained for hybrid display with spatialcompatibility. Hybrid displays enabled drivers to respond thefastest and achieve the best accuracy in both S-R.
The Effects of Memory Cue and Memory Aid on Prospective
Memory in Older and Younger Adults
Min-Sheng Chen1, Chih-Nan Wang1
1
National Yunlin University of Science & Technology, Taiwan

Two experiments were conducted to examine the aging effect onprospective memory tasks and ongoing tasks. Experiment 1 was
conducted to investigate the relationship between event-based
prospective memory with different types of prospective cues andmemory aid for both younger and older subjects. Experiment 2
was conducted to investigate the relationship between time-based
prospective memory with different types of prospective cues andmemory aid for younger and older subjects. Various prospective
memory tasks and ongoing tasks were manipulated to examine thecharacteristics of the memory cues and memory aid to the target
actions, the nature of the ongoing task, and age differences. The
results showed that both performance of EBPM and TBPM wasaffected by the Memory Aid. The performance of older subjects
improved with the use of memory aid compared to those not using
memory aids. The performance of EBPM was also affected bymemory cues, and a single memory cue was helpful for the older
subjects.
Estimating Technical Efficiency for Global E-tailing Companies
for Different Regions
Yi-Hsing Lin1, Chun-Fu Hong2
1
National Quemoy University, Taiwan
2
National Yang-Ming University, Taiwan

Only a few attempts have so far been made to examine thetechnical efficiency of e-tailing companies. This study estimates thetechnical efficiency in production of e-tailing companies in theAmerican, European and Asian regions under heterogeneoustechnologies by applying metafrontier analysis to unbalanced
panel data for 47 e-tailing companies during the period 2000-2008.
The results show that the technical efficiency exhibits partial

discrepancies when both traditional stochastic frontier analysis
and metafrontier analysis are used. The average technicalefficiency of e-tailing companies in the American region is found tobe higher than that in the European region, which is in turn higher
than that in the Asian region. However, when using metafrontier
analysis, the technical efficiency of the e-tailing companies in theAmerican region is found to be higher than that in the Asian region,
which is in turn higher than that in the European region. Thus, weconsider it to be a fallacy to suppose that the technical technologies
used in the operations of e-tailing companies in the American,
European, and Asian regions are identical.
International Liquidity, Inflation and Exchange Rate: Evidence
from China
Hongxia Ma1, Xuefen Sun1
1
Wuhan University, China

This paper examines the effect of international liquidity andexchange rate on China’s inflation through cointegration test andvector error correction model. We build the econometric model on
the traditional quantity of money theory, while introducing
international liquidity and its transmission channels. Empiricalresults show that impact of short-term external liquidity on China’s
inflation is not significant, but long-term external liquidity has aclear negative effect on China’s inflation. We also find that after thereform of Renminbi exchange rate regime, this negative effect isstrengthened. We should guard against China’s inflationarypressure coming from the external liquidity crunch in the
post-crisis era and take appropriate monetary measures.
An Empirical Analysis of the Content of Chinese and American
B2C Home Furniture Web Sites
Liyi Zhang1, Shouxiang Li1, Yun Xiao1
1
Wuhan University, China

By comparing the content of Chinese and American B2C Home
furniture web sites, this paper tries to use the Chi-square test of
independence to determine whether there are significant
differences between them and take charge of a set of index system
to compare the content of these web sites. The data for this study
comes from 25 Chinese and 25 American Home furniture web sites.
In fact, this paper finds that American web sites prefer to provide
specific information related to products and online purchase of
products, while Chinese web sites are inclined to provide
interactive information, such as virtual community.

proposed mechanism by evaluating it according to somepredefined conditions such as guaranteed success and Pareto
optimal solution.
Cloud Computing for Network Business Ecosystem

Roberto Gagliardi1, Fausto Marcantoni1, Alberto Polzonetti1, Barbara Re1,
Pietro Tapanelli1
1
University of Camerino, Italy

Traditionally, computing infrastructure has been a substantial
burden for companies. But what happens when business areunchained from their physical infrastructure and allowed to focus
on business goal ? The model of infrastructure as a service andcloud computing bring us closer to this possibility. In this paper we
discussed the growth of the web based service industry. The
myriad of service now available over the internet rely on data
center spread around the world. One of the major new trends incomputing the rise of what is known as cloud computing, in witch
not only service are offered remotely over the internet, but also afull menu of computing resource such a computing power, storage,
databases, and many other resources.
An Oligopolistic Electricity Model with Marketable CO2Emission Permits
William Chung1
1
City University of Hong Kong, Hong Kong

In this paper, we derive an equilibrium model of the CO2 emission
permits market. We consider a variational inequality (VI) approach
to model an oligopolistic competition in the market of CO2
emission permits and electric power. A Cournot model ofelectricity market is described and variational inequality
formulations are derived for oligopolistic electricity models withmarketable CO2 permits. Solution method and a simple example ispresented and implemented in a PC and solved by a built-in solver
powered by GAMS.
The Project Management of the Profit Contribution from theCustomers of Mobile Virtual Private Network Services

Chia-Chi Lee1, Du-Ching Lu2, Tyrone T. Lin3
1
National Taipei College of Business, Taiwan
2
Chunghwa Telecom Co., Ltd., Taipei, Taiwan and National Dong Hwa University,
Taiwan3
National Dong Hwa University, Taiwan

This study tries to use the theory of relationship marketing on thebanking industry. Based on TAM and commitment - trust model,
research and analysis the key factors of online bank brand choiceintention. In addition, the study tries to find out the relationshipbetween the user's knowledge and choice when environmentchanges to online bank. Moreover, the study aims to explore andsummarize various factors affecting online bank choice intention,
which may be different with traditional bank.

This paper aims to probe into the mobile virtual private network(MVPN) and analyzes the impact of project management on the
profit contribution of a case mobile company. An empirical model
is constructed based on multiple regressions. The dependent
variable is the profit contribution from each of six major corporate
customers of MVPN services of the case mobile company;
independent variables include the service benefits of MVPN
services, whether the preferential price of mobile phone is offeredby the case mobile company, the monthly mobile bill discountprovided by the case mobile company, and the monthly mobile billsubsidy amount offered by corporations to their employees. The
empirical results can establish a core business strategy on customer
value proposition and identify the best market segment to enhance
the profitability and sustainable growth in order to increase thecase mobile company's market competitiveness and businessperformance.

An Agent Based Negotiation Mechanism Considering Suppliers
Bidding in an Automated Business Transaction

High in Quantity and High in Storage: A Look Into the Patents
Conversion in Chinese Universities

S. Kamal Chaharsooghi1, Zahra Taheri1
1
Tarbiat Modares University, IranYang Zhou1, Jin Chen1
1
Zhejiang University, China

Agent based negotiation is one of the popular mechanisms ofautomated negotiation in the world of e-business. An automatednegotiation mechanism that is going to be accepted by users
should be human inspired. Therefore, there is a growing need todesign reliable and effective agent based negotiation mechanisms.
In this paper, we propose a dynamic negotiation mechanism whichin contrary to other researches, allows buyer to consider overall
condition of e-market during negotiation to each supplier.
Proposed mechanism enables buyer to decide about counter offers
based on the preference of all offers simultaneously. Buyer andsupplier agents can experience more flexibility by using thismechanism. We demonstrate the efficiency and feasibility of the

The total number of patent application and grated in Chinese
universities has increased rapidly with only a few valid, whichyield a conversion rate close to zero and a terrible waste ofresources in recent years. This paper takes analysis of the status of
the patent foam and reason for that based on data from the
National Intellectual Property Office. And a proposal was given in
the final stressing the governmental policies and complementarymechanisms. The cooperation of government, firms anduniversities was stressed in reducing the patent foam.

Key Factors of Online Bank Brand Choice Intention - Basing on
Mainland China Online Banks
Junfeng Liao1, Rui Cheng2, Zhongqiang Wang3
1
South China University of Technology, China
2City University, Hong Kong
3
University of Warwick, United Kingdom

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Examining Transactive Memory System in R&D Teams
Chi-Cheng Huang1, Pin-Chen Jiang2
1
Aletheia University, Taiwan
2
Chang Jung Christian University, Taiwan

Teamwork has become a preferred method used by organizations
to conduct R&D. As the importance of teamwork in R&D increases,
additional research is needed to gain insight into what constitutes
successful R&D teams. The transactive memory system (TMS)
postulates that team members have a shared understanding of
which team member knows what. R&D is knowledge-intensive.
Thus, R&D members need to develop TMS such that knowledge
are effectively communicated and integrated when tasks are
performed. This study examines the role of TMS in R&D teams.
Our research model utilizes data drawn from a sample of 168
members of 32 R&D teams in Taiwan and is analyzed using thepartial least squares (PLS) method. The results of this study
indicate: (1) network ties positively affect TMS, (2) TMS positively
affects team performance and (3) knowledge integration mediates
the relationship between TMS and team performance. This study
discusses implications for R&D team management.
A Review of Inter-Firm Technology Transfer Through the Lensof the Resource-Based View
Nisakorn Somsuk1
1
Thammasat University, Thailand

This paper reviews the literature to provide a broad overview of a
Resource-Based View of the firm (RBV) in the context of inter-firm
technology transfer (ITT). This paper integrates RVB perspective
into an ITT process through the link between factors affecting
technology transfer performance, organizational learning, and afirm's competitive advantages, which enhances and reinforces
understanding of how firms can achieve a sustainable competitive
advantage by using firm-specific resources and capabilities. Finally,
this paper concludes with contributions and suggestions for future
research.
The Interactive Effect of Knowledge Management with
Organizational Citizenship Behavior on Knowledge
Management Performance in Taiwan Semiconductor Industries
Chin Ping Chen1, His-Chi Hsiao2, Ching Wei Lin3, Yong Xin Li1
1
National Changhua University of Education, Taiwan
2
Cheng Shiu University, Taiwan
3
National Chiao Tung University, Taiwan

This study aims to study the relation between knowledge
management and knowledge management performance, in Taiwan
semiconductor industry, as well as organizational citizenshipbehavior being the moderator in the relation. Questionnaires were
distributed to R&D personnel of public-listed companies in Taiwan
semiconductor industry, and total 470 effective samples wereretrieved. For data analysis, the stepwise linear regression analysis
was applied to examine the relation among variables as well as themoderating effect. The findings show that in Taiwan
semiconductor industry, (1) the higher level of knowledge
management is practiced, the more effect on knowledge
management performance is received; (2) the higher level oforganizational citizenship behavior exists, the more influence onknowledge management performance is believed. We also
observed presence of organizational citizenship behavior resulting
in positive moderating effect in the relation between knowledge
management and knowledge capacity performance, but negative
moderating effect in the relation between knowledge management
and knowledge flow performance.
University-Industry Technology Transfer Programme's SuccessAnalysis: Using the Analytic Hierarchy Process-Based Model
Nisakorn Somsuk1
1
Thammasat University, Thailand

University-Industry Technology Transfer (UITT) is the transfer ofinnovations or research results from a university to the industrial
and commercial marketplace. UITT can be a source of financial
gain for both universities and industries. To promote and enhance
the success of a UITT programme, the management team needs tounderstand the necessary resources and managing operations
required for successful implementation, and also needs toprioritize the success drivers for consolidating their efforts on themost important success drivers. Therefore, this paper aims to
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determine success drivers with respect to an organization's
resources and managing operations in enhancing the success of
UITT programme implementation, and to propose an Analytic
Hierarchy Process based model to prioritize these success driversof UITT programme. The paper is grounded in the Resource-Based
View of the firm and Operations Management for identifying the
success drivers of UITT programme.
Research on Pervasive Knowledge Service Model
Min Yao1, Xinghe Wu1, Yao Yao2, Yiwen Wang1
1
Zhejiang University, China
2
Hangzhou Normal University, China

Knowledge service is the integration of knowledge and services.
Introducing the concept of "people-oriented" in pervasive
computing to knowledge service, this paper constructs a kind of
pervasive knowledge service model by means of multidisciplinary
research achievements such as intelligence computing, systemscience, ecology, system science, knowledge science and service
science, especially generalized computing and generalized
learning proposed by us. At the same time, the key technologies ofpervasive knowledge service are discussed.
What Leads to Differences in Success Antecedents? Analyzing
the Effect of Offering Nature, Variety, and Service Mode
Bin Xu1, Kay Chuan Tan1
1
National University of Singapore, Singapore

Service industries have been booming and their specialness is
widely discussed. There are suggestions that the developing
antecedents would differ between service firms and product firms.
However, there are also other means for business categorization,and the antecedents have rarely been studies globally. In this study,
framework for future research is proposed based on literature
review. The antecedents are grouped as “BASICs”: backdrop,
atmosphere, supporting system, internal enablers, andcustomer-related factors. They are suggested to be affected byoffering nature, offering variety, and service mode. We alsosuggested the methods for data collection and analysis.
Expectations on the results are also stated.
Theoretical Perspectives in Quality Management
Implementation: A Literature Review
Nisakorn Somsuk1
1
Thammasat University, Thailand

The main objectives of this paper are to review the theoreticalperspectives in quality management (QM) implementation and toprovide direction for fruitful future research. The four primaryorganizational theories (resource-based view, knowledge-based
view, contingency theory, and institutional theory) are reviewed
and analyzed as to how these theories support the implementationof QM approaches. The results of this study provide a broad
overview of the literature on QM through the lens of the major
theoretical perspectives as well as opportunities for future inquiryof theory-based research in QM approaches.

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (4)9/12/2010
11:00 - 12:30
NAPLES 2703
Mubarak Almutairi; Tomasz Błaszczyk

Dynamic Linguistic Weighted Averaging Operators Applied to
Decision Making
Jin Han Park1, Young Chel Kwun2, Ja Hong Koo2
1
Pukyong National University, South Korea
2
Dong-A University, South Korea

The dynamic multiple attribute decision making problems withlinguistic information are investigated. A new aggregation
operator called dynamic linguistic weighted averaging (DLWA)
operator is presented. Based on the DLWA and LWAA operators,
we develop a procedure to solve the we develop an approach to the
dynamic linguistic multiple attribute decision making (DL-MADM)
problems where all decision information about values takes theform of linguistic variables collected at different periods. Finally,an illustrative numerical example is also given.
A Comparison of Three Forecasting Methods to Establish a
Flexible Pavement Serviceability Index
Ching-Tsung Hung1, Shih-Huang Chen2
1
Kainan University, Taiwan
2
Feng Chia University, Taiwan

Since 1960, the pavement serviceability index has supported theefforts of engineers who make decisions concerning maintenancestrategies. The data of pavement surfaces do not belong to anormal distribution. Because the data violate the basic
assumptions of linear regression, the pavement serviceability
index is not suitable for regression modeling. Many kinds ofprediction models with non-statistical foundations have beendeveloped in recent years. To establish a flexible pavement
serviceability index, this paper considers a fuzzy regression model,
a support vector machine and a genetic programming. Our
support vector machine has the highest predictive accuracy of thethree methods in this study. The support vector machine uses a
hyperplane transform to process interactions among pavement
variables
Decision Making in House of Quality: A Hybrid
AHP-PROMETHEE Approach
Majid Behzadian1, Reza Samizadeh2, Jamshid Nazemi3
1
Shomal University, Iran
2
Alzahra University, Iran3
Azad University, IranThis paper discusses the problem of ranking technicalrequirements (TRs) according to customer needs (CNs), which isarisen from the final stage of the house of quality (HOQ) process.
To rank technical requirements in a useful approach, the paper
employs an integrated analytic hierarchy process (AHP) and
PROMETHEE II approach; AHP is used to determine the relative
importance of multicriteria, and PROMETHEE II is applied forfinal ranking of technical requirements. To analyze the quality andreliability of decision problem, the result of PROMETHEE II
evaluation is represented by the geometrical analysis forinteractive aid (GAIA) plane. A case study on an automotive part isput forward to illustrate the performance of the proposed
methodology.

Restaurant Location Selection by Utilizing the Fuzzy Preference
Relations
Tsung-Han Chang1
1
Kao-Yuan University, Taiwan

Location is a significant factor leads to the success of a restaurant
operation and management. This paper utilizes the fuzzy
preference relations to select a restaurant location. Pairwise
comparisons are conducted to obtain the importance weights ofevaluation criteria and the performance rating of alternative
locations. By multiplying the importance weights of evaluation
criteria and the performance rating, a performance value isdetermined to rank the alternative locations. Compared with the
AHP, the major contributions of this proposed framework are: 1) it
just takes n-1 comparisons rather than n(n-1)/2 comparisons to
obtain a complete decision matrix which has n elements; 2) the
inconsistency is not occurred in this process because of additive
reciprocity transitivity.
Is China's Voluntary Action on Carbon Intensity Cut Too
Ambitious?
Hongliang Yang1, Dan Shi2
1
Asian Development Bank, Philippines
2
Chinese Academy of Social Sciences, China

Carbon intensity (CO2/GDP), as an indicator, is easy to understandand use, but has serious limitations. In most countries, most CO2
emissions come from consumption of fossil energy. Energy alone
cannot produce any output, and it must be combined with otherfactors, such as capital and labor, in production. Therefore, an
economy's resource endowments will inevitably influence its
energy consumption and also CO2 emissions. For example, energy
intensity may increase solely because energy is substituting forlabor, rather than any underlying deterioration in emitting
technology. This can happen in any modernization process of any
economy. This paper therefore suggests we consider an economy's
carbon performance from a total factor perspective. Based on thelessons learned from efficiency analysis literature, a Data
Envelopment Analysis (DEA) -based total factor model is
proposed. An empirical study was conducted using
provincial-level data from China in 2005. Results suggest that
China's voluntary carbon emissions reduction target of 40%-45%
by 2020 may be harder than expected to achieve.
Fuzzy Approaches to Two-Decision-Maker Games
Mubarak Almutairi1
1
Hafr Albatin Community College, Saudi Arabia

A unique fuzzy approach is developed to model uncertainties in
the preferences of a decision maker involved in a conflict. Human
judgments, including expressing preferences over a set of feasible
outcomes or states in a conflict, are usually imprecise. Situations
characterized by vagueness, impreciseness, incompleteness andambiguity, are often reflected in the decision maker's preferences.
When modeling a conflict, it is assumed that the decision makers,
the courses of actions available for each, and the preferences ofeach decision maker are known. When the preferences of thedecision maker over a certain set of actions are not known withcertainty, this could affect the overall equilibria which are
predicted in an analysis. Hence, fuzzy logic is used to handle
imprecise or vague preference information so that realistic
equilibria can be found. The well-known game of Prisoner's
Dilemma, in which one must decide whether or not to cooperate, isemployed as an illustrative application to demonstrate how the
fuzzy preference methodology works in practice.

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Session
Date
Time
Room
Chairs

Decision Analysis & Methods (5)9/12/2010
13:30 - 15:00
NAPLES 2703
Chih Wang; Majid Jalili

An Evaluation Methodology for Binary Pattern Classification
Systems
Chih-Fong Tsai1
1National Central University, Taiwan

Evaluation of pattern classification systems is the critical andimportant step in order to understand the system’s performanceover a chosen testing dataset. In general, considering crossvalidation can produce the ‘optimal’ or ‘objective’ classification
result. As some ground-truth dataset(s) are usually used for
simulating the system’s classification performance, this may besomehow difficult to judge the system, which can provide similar
performances for future unknown events. That is, when the systemfacing the real world cases are unlikely to provide as similarclassification performances as the simulation results. This paper
presents an ARS evaluation framework for binary patternclassification systems to solve the limitation of using the
ground-truth dataset during system simulation. It is based on
accuracy, reliability, and stability testing strategies. The
experimental results based on the bankruptcy prediction caseshow that the proposed evaluation framework can solve thelimitation of using some chosen testing set and allow us tounderstand more about the system’s classification performances.
On the Use of Multi-criteria Decision Aid Tools for the Efficient
Design of 3D-stacked Integrated Circuits: A Preliminary Study
Anh Vu Doan1, Yves De Smet1, F. Robert1, Dragomic Milojevic1
1
Université Libre de Bruxelles, Belgium

In past decades, the electronic industry has been following theMoore's law to improve the performance of CMOS integrated
circuits (IC). However, it will probably be impossible to follow thislaw in the future due to the quantum effects appearing with theminiaturization of the transistors below a certain threshold. Inorder to overcome this problem, new technologies have emerged,
and among them the 3D-Stacked Integrated Circuits (3D-SIC) havebeen proposed to keep the Moore's momentum alive. 3D-SICs canbring numerous advantages in the design of future ICs but at thecost of design complexity due to their highly combinatorial natureand requiring optimization of several conflicting criteria. In thispaper, we present a first approach in development of tools that canhelp the design of 3D-SICs, using multi-criteria analysis. Our study
has targeted one of the main issues in the design of 3D-SICs: thefloorplanning. This work has shown that the use of Multi-Criteria
Decision Aid (MCDA) tools can provide relevant and objective
analysis of the problem that may not be feasible with the current
design methods. We believe that these promising results will allow
designers to overcome the complexity of designing 3D-SICs.
Investigation on the Improvement of Operational Performanceof Soeu's in India Using Dea Based Malmquist Index
Meenakumari Ramachandran1, R Subasri1, S Jayamani2, N Kamaraj3
1
Kongu Engineering College, India
2
Pavai Engineering College, India3
Thiagarajar College of Engineering, India

This paper investigates the improvement in the operational
performance of 29 state owned electric utilities in India on region
wise, using Data Envelopment Analysis based (DEA) Malmquist
Productivity Index (MPI) for the two year period i.e., 2003-04 and2005-06. Two different models viz., the CCR DEA model and the
BCC DEA model are applied to evaluate the performance. DEA
based Malmquist Productivity Index (MPI) is decomposed astechnical efficiency change and technology change to witness thegrowth of the SEOU's. The result of these measures shows theimpact of various parameters for the change with regard totechnical efficiency and technology.
A Note to TOPSIS Method in MADM Problems Under Fuzzy
Environment
Zhi Pei1, Li Zheng1
1
Tsinghua University, ChinaTOPSIS method has been widely used to solve various multiple
attribute decision making and multiple criteria decision making
problems since Hwang and Yoon first introduced it in 1981. The
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ranking results of TOPSIS are proved to be relatively convincing inmany practical areas. However, in recent research we find that thetraditional fuzzy TOPSIS method could not distinguish all of thealternatives in some circumstances. As stated later in this paper,several counter examples in triangular fuzzy number format will
be demonstrated, where the fuzzy TOPSIS method fails to givealternatives respective rankings. And the reason for thatphenomenon will be further discussed. Then a revised procedure
is suggested in order to fully differentiate all of the alternatives.
Finally a numerical example is given so as to testify the revised
procedure.
Characterizing Triggers of Reactive Cycles within Design
Processes Based on Process Observation
Arne Herberg1, Stefan Langer1, Florian Netter1, Udo Lindemann1
1Technische Universitaet Muenchen, Germany

The high degree of uncertainty and complexity of Simultaneous
Engineering processes lead to the persistent occurrence of
unforeseen situations constituting the deviation (Δ) of product orprocess properties (IS-state) from an initially established orassumed value (TO-BE-state). The consequence of theidentification of these Δs often is the necessity of the (partial)
repetition of activities or phases, being defined as reactive cycles inthis research context. The understanding of reactive cycles andespecially the described Δs as one central class of their triggers are
aimed at through the real-time observation of a mechatronic
development project with regard to occurring problems during
process execution. The classification of those triggers and theacquisition of quantitative correlations with further aspects of theanalyzed cycles constitute an important contribution with regard
to the long-term goal of a holistic cycle management.
Utilization of Data Mining on Asset Management of Freeway
Flexible Pavement
Po-Hsun Sung1, Jyh-Dong Lin1, Shih-Huang Chen2, Shun-Hsing Chen3,
Jr-Hung Peng1
1
National Central University, Taiwan
2
Feng Chia University, Taiwan
3
Taiwan Area National Freeway Bureau, Taiwan

Data mining is used to analysis a large number of data. The study
was using asset management of freeway flexible pavement andre-dug out new knowledge of pavement cracks by using decision
tree of data mining. Road units were built per 20 meters per lane.
Construction data (35,828 documents) was built and included road
construction type, altitude and topography. Maintenanceconstructions data (36,439 documents) was built. The historical
data included equivalent single axle loads, temperature andrainfall. Decision tree of C5.0 and C&R tree are different from theprinciple of calculation. The result of C5.0 was 92 rules andaccuracy rate was 95%.The result of C&R tree was 21 rules and theaccuracy rate was 80%. The results by C5.0 could be used to
distinguish the reasons of pavement crack, and the results of C&R
tree could be used to forecast the types of pavement crack.
Building Fuzzy Random Objective Function for Interval Fuzzy
Goal Programming
Arbaiy Nureize1, Junzo Watada1
1
Waseda University, Japan

Estimating the coefficients of objective functions in multi-objectivemodel is sometimes difficult in real situations. Mathematicalanalysis of statistical data is used to determine the coefficients. In
various cases, the statistical data may not contain only randomness,but also fuzziness, which should be treated properly. Thus, thispaper employs fuzzy random regression model to approximate thecoefficients values for objective functions of multi-objective model.
The presented model consists of two stages; first, developing theobjective functions by fuzzy random regression model and second,
introducing an interval fuzzy goal programming model to solve
the multi-objective problem. An experimental example is provided
to illustrate the model.

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (6)9/12/2010
15:30 - 17:15
NAPLES 2703
Majid Behzadian; Xuenzheng Zhang

A Fuzzy Logic-Based Evaluation Method for Idea Screening of
Product Design
Yao-Tsung Ko1, Ping-Hong Kuo1
1
Tunghai University, Taiwan

In this paper, a new cost and space efficient solution to unbalanced
assignment problems is presented. The new solution uses linear
space complexity instead of polynomial complexity as used by the
Hungarian method. Moreover, its optimal cost is lower than of theKumar method - an existing linear space complexity solution tounbalanced assignment problems.

The idea screening of a new product concept is perhaps the mostcritical activity in new product development (NPD). This paper
presents a fuzzy synthetic evaluation method (FSEM) for selecting
an optimum design alternatives based on fuzzy set theory. The
process involves constructing a hierarchical objective, setting
evaluation criteria, establishing a fuzzy judgment matrix andweight vector, and then ranking the order of design alternatives by
a fuzzy number in the fuzzy sequencing vector. A hierarchicalstructure is used to calculate the fuzzy probability level by levelfrom the lowest-level objectives. The proposed approach canefficiently aid managers in dealing with both ambiguity andcomplexity in product screening decisions. To verify the feasibilityof this approach, a case study is conducted with a product designof Power Line Communication (PLC) in this study.

The Effects of Feature Selection and Model Selection on the
Correctness of Classification

Predictive Modeling of High-Performance Concrete with
Regression Analysis

A Cost and Space Efficient Method for Unbalanced Assignment
Problems
Anupong Iampang1, Veera Boonjing1, Pisit Chanvarasuth2
1King Mongkut’s Institute of Technology Ladkrabang, Thailand
2Sirindhorn International Institute of Technology, Thailand

ShuChuan Lo1
1
National Taipei University of Techonolgy, Taiwan

In this research we took an experiment of two feature selection
methods--eta square and stepwise methods on two classification
models--back propagation neural network (BPNN) and general
regression neural network (GRNN) to study the effects on thecorrectness of firm bankruptcy classification. The correctness
includes the average classification correctness and the power ofbankruptcy classification which is the probability we conclude
failure if firms are in crisis. The data sampled from the listed
electronic companies in Taiwan's market from 1999 to 2006. The
experimental reports showed that feature selection has more
influences on average correctness and power than model selection.
Overall, the stepwise method has the highest correctness among
these four combinations which are the two feature selections andtwo model selections but the two models BRNN and GRNN has
not much difference in our experiment.
A Case Study of Evaluating Supplier's Selection Criteria in a
Steel Bars Manufacturer
Yun-Ning Liu1
1
University of Dong Hwa, Taiwan

The supplier selection is a multi-criterion problem which includes
both qualitative and quantitative criteria. In order to select the best
suppliers it is necessary to make a trade off between these tangible
and intangible criteria some of which may conflict. This study
examines the difference between a president' rating of theperceived importance of different supplier attributes and theiractual choice of suppliers in an experimental setting. We use thenormalization: an interview scale set of questions, to determine theimportance of supplier attributes; and makes sure all criteria havethe same range, to examine the choice of suppliers. The results
indicate that although the president says that price is the mostimportant attribute for a supplier, they actually choose suppliers
based largely on financial and delivery.

Shanshan Wu1, Libei Zhi1, Jianguo Yang1, Sanjay Shukla2
1
Donghua University, China
2
University of Texas at San Antonio, United States

High-performance concrete (HPC) is a very complex material andhence very hard to predict its compressive strength. This paper
deals with building a regression model for predicting concrete's
compressive strength. First of all, eight process variables are
identified as determinants of Concrete Compressive Strength(CCS). These variables are Cement, Blast Furnace Slag, Fly Ash,
Water, Superplasticizer, Coarse Aggregate, Fine Aggregate, andAge. Further, correlation among these variables is computed and it
is found that a few of them are highly correlated. Therefore,
interactions among these variables are taken into account. After
that, a regression model is developed by regressing CCS against allprocess variables and significant interactions. Finally, to fine tune
the model diagnostics are conducted and a parsimonious model isobtainedwith
84.37%
coefficientofdetermination.
Appropriateness of the model is investigated by testing it against
unseen data points.
Regional Industrial Energy Efficiency Research Under the
Low-carbon Economy Target
Yuanying Chi1, Yuanqin Chi2, Dongxiao Niu1, Zhi Liu1
1
North China Electric Power University, China
2
Longkou Liangjia Coal Mine, China

In current, we must improve the energy efficiency and optimize
the structure of energy in order to realize the "low-carbon
economy". The paper just uses LINDO software and DEA method,
studies the efficiency problems among the industrial energy,
environment input and economy output in each province inchina .The result shows that industrial efficiency need to be
improved in many provinces except Shanghai and Guangdong
which are in high efficient. From the view of regional distribution,
the industrial efficiency of eastern provinces is higher than central
and western provinces', which was caused by the difference oftechnical progress and industrial structure.

A Study on Revenue Management of Taiwan High Speed
Railway
Hsiao-min Chuang1, Chihpeng Chu1, Wei-Feng Niu2
1
National Dong-hwa University, Taiwan
2
G5 Capital Management, Ltd., Taiwan

This study applies yield management to calculate the optimum
rate and discriminate price rates for Taiwan High Speed Railway tomaximize the revenue. The conclusions are: 1. The north boundtrain prices have higher elasticity than the south bound train,
which could be taken advantages to increase the revenue. 2.
Based on the price discriminations, there could be 3.37%-6.59%
revenue increase potential. 3. Adopting the reservation data toadjust the prices and allocation of the unreserved seats, we can findthe optimum ratio and price.

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Session
Date
Time
Room
ChairsTechnology & Knowledge Management (4)9/12/2010
11:00 - 12:30
NAPLES 2603
Uchenna Cyril Eze; Yuya Kajikawa

Developing Coherency Matrix to Support Design Changes ofComplex Product
Nattawut Janthong1, Suthep Butdee1
1
King Mongkut's University of Technology North Bangkok, Thailand

In many business fields, customers have become very demanding
to the point that they only ask for individualized products andservices. These changes at the customer’s level have forced
companies to react by developing new operations strategies inorder to secure market shares and improve profits. New products(customized product) are often designed change or modification toexisting product. Design by modification applies particularly tosafety critical product where the reuse of existing working partsand subsystems can reduce cost and risk. However change is rarely
a matter of just reusing or modifying parts. Changing one part can
propagate through the entire design leading to costly rework of thewhole product. This paper introduces tools to aid designers inunderstanding the potential effects of change based on studies ofindustrial complex product. The coherency matrix has beendeveloped to model the integration and visualization of change
propagation through system connectivity.
Determinants of Knowledge Search Strategy of Chinese SMEs
Fang Luo1
1
Zhejiang University, China

As a major producer of products and services in global markets,
China is building up innovation capabilities. Chinese
small-and-medium enterprises' innovation depends not only on
the internal R&D, but also on searching more and more outside
knowledge.
In this study, we investigate which factors may influence theknowledge search strategy. Those factors include com-petitive
strategy, resources and environment.
Based on the survey of IDRC, the results show that (1) costleadership strategy may lead to more knowledge search thandifferentiation strategy in Chinese SMEs; (2) cost lea-dershipstrategy, absorptive capacity, environmental uncer-tainty andorganizational change have the positive influence on the search
depth; (3) resource slack has an inverse U-shape effect on searchbreadth; and (4) the relationship be-tween competitive strategy
and search depth is negative moderated by the environmental
uncertainty. Specifically, firms' size and export ratio have nosignificant influence on knowledge search strategy.
Performance Assessment of Technology Transfer Project: An
Application of DEA Technique

Prattana Punnakitikashem1, Patarapong Intarakumnerd2, Tritos
Laosirihongthong2
1
Mahidol University, Thailand
2
Thammasat University, Thailand

Technology transfer is a mechanism to acquire technology andhelps company to enhance their technology capabilities. The
purpose of this study is to demonstrate how Data Envelopment
Analysis (DEA) can be used to assess performance of technology
transfer project at firm level. Data collected from transferring therobotics operating technology project of 12 automotive
parts/components manufacturing companies are examined byusing the DEA model. The results of this study show that six
companies carried out efficient technology transferring. The
average efficiency score of technology transfer project is 93.3%.
This finding confirms that absorptive capacity of recipient firms isa critical success factor underlying differences between efficientand inefficient firms. DEA method provides Chief Technology
Officers (CTO) or project leaders a framework to determine
appropriate transferring mechanisms and necessary internal andexternal resources.

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Determining Enabling Factors of University Technology
Business Incubation Program: Resource-Based View Theory

Nisakorn Somsuk1, Prattana Punnakitikashem2, Tritos Laosirihongthong11Thammasat University, Thailand
2
Mahidol University, Thailand

University Technology Business Incubation (UTBI) is a program
developed for an entrepreneurial company by providing a varietyof resources and services to a selected start-up or entrepreneurialgroups in early-stage technology-related ventures. To promote thesuccess of UTBI program, it is important for management team tounderstand the necessary resources required by the program. The
purpose of this paper is to determine enabling factors with respect
to company resources in enhancing the success of UTBI.
Resource-Based View (RBV) theory was considered as a groundedtheory to develop those enabling factors. After reviewing literatureon UTBIs and RBV theory, four categories of resources wereidentified. These are human, technological, financial, andorganizational resources. Then, the attributes representing eachcategory were assigned using the Q-sort technique. Finally, themodel of analytical hierarchy decision making process is proposed
to examine the relative importance of each resource to the successof UTBI program. Panel of experts will be carried out in the nextstage of this research project.
A Conceptual Framework of Cluster Innovation Mechanism
Based on Network Theory: A Case of Dalian Software Park in
China
Weilin Zhao1
1
Waseda University, Japan

Industry clusters, which encompass a series of interconnected
firms or heterogeneous firms in designated geographic
concentrations, show competitive advantages for industrial
development with substantial resources from the encouraged
networks among firms, and then lead to the development of cluster
innovation
byinformation
sharingandeffectiveknowledge/technology transfer. In a word, the clustering effects
generated from the formation of industry cluster and networks
among the firms are well displayed and utilized. With a case studyof Dalian Software Park (DLSP) in China and based on the
viewpoints of networks, this paper attempts to provide a feasible
framework to elucidate the innovation mechanism of industry
clusters and to give more suggestive implications for the success ofindustry cluster, industrial development and economic growth.
Building Environmental Assessment as a Knowledge
Management Tool Driving Society
Yuya Kajikawa1, Toshihiro Inoue1
1
The University of Tokyo, Japan

Green construction is gaining an increasing attention in the global
context. However, green involves different meanings and different
perspectives. Therefore, it is not a rudimentary task to manage
green housing and green building project. Utilization of building
environmental assessment tools has some benefits to achieve theprojects. In this paper, we discuss the benefits and limitations ofsuch an approach. Comprehensiveness, design guideline,
signaling, and communication are indicated as major benefits of it,
while we have remaining issues including mixture of quantitativeand qualitative measures, ambiguity of weighing, and lack offinancial aspects.

Session
Date
Time
Room
ChairsTechnology & Knowledge Management (5)9/12/2010
13:30 - 15:00
NAPLES 2603
Tritos Laosirihongthong; Dotun Adebanjo

Technological Regime and Knowledge Productivity: An
Industry-level Analysis of Chinese Manufacturing
Bin Guo1, Xiaoling Chen1
1
Zhejiang University, China

Based on the knowledge production function framework, thisarticle uses industry-level data of Chinese large and medium-size
manufacturing enterprises over the period of 1996-2001 to explore
the influences of technological regime on efficiency of knowledge
production, as well as the potential complementary orcrowded-out effects of technology transfer and inter-industry R&D
spillover upon in-house R&D in knowledge creation. The
empirical results reveal that for efficiency in knowledge
production, scale economies, speed of obsolescence of knowledge,
and accessibility of external knowledge in foreign technology
transfer have positive con-tributions. But the relative reliance oninter-industry R&D spillover shows negative impact on knowledge
productivity. Finally, this article provides an explanation based on
the threshold effect of in-house R&D to the issue why the literature
concerning complementary or substitution effect between foreigntechnology transfer and indigenous R&D lead to a mixed result in
the context of developing countries.
Missing Link Between Knowledge Management andOrganizational Performance---Empirical Evidence in Taiwan
Chi-Chuan Wu1, Shu-Hsien Liao2, Wen-Jung Chang2, Retno Widowati2,
Da-Chian Hu2
1
Tatung University, Taiwan
2
Tamkang University, Taiwan

Many study concern that knowledge management (KM) andorganizational performance are essential of the success in business.
And there are many different results in literatures which declare
KM affects organizational performance positively and negatively.
We believe that there are still some confusing relations between
KM and organizational performance. Accordingly, we propose
some hypotheses to verify relationships among them. Base on asample of Taiwan knowledge-intensive firms engaged in
manufacturing, and financial sectors, data are collected using amail survey, and hypotheses are tested using structural equation
modeling. This paper finds organizational learning (OL) as acoordinating mechanism, like black box. Empirical evidence also
supports the perspective that KM affects organizational
performance through OL. This paper is one of the empiricalsupports for the role of OL as a mediator between KM andorganizational performance. Therefore, the positioning of OL as amediator is also an important contribution to our thinking.
A Novel Technique for Measuring the Technology Applicationon CNG Industry of Pakistan
Jawwad Hassan1, Naeha Sharif1, Muhammad Asim2
1
National University of Sciences and Technology, Pakistan
2
Center for Advance Studies in Engineering, Pakistan

Global Trends and Rapid Growth of East Asia in IEEE
Publications

Nobuyuki Shirakawa1, Minoru Nomura1, Kumi Okuwada1, Takao
Furukawa1
1
National Institute of Science and Technology Policy, Japan

We organized a database of IEEE Periodicals from a period of over
15 years for quantitative and collective analysis. We found that theIEEE experienced globalization and more active international
competition. East Asian countries and regions have grown
dramatically and become major players in the IEEE during
globalization over the last decade, and: 1) East Asia surpassed
North America in research related to electrical and electronics
fields; 2) China has the most balanced and rapidly increasing
number of articles in all fields; 3) Taiwan specializes in circuits,systems, and electronic devices; 4) South Korea specializes in
consumer electronics, broadcasting, and communications; and 5)
Singapore owes much to the existence of two research universities.
Leveraging Knowledge Management with the Balanced
Scorecard

Maria do Rosário Cabrita1, Virgilio Cruz-Machado1, Antonio Grilo1
1
Universidade Nova de Lisboa, Portugal

In a rapidly changing environment, innovative firms are
increasingly using the Balanced Scorecard (BSC) to identify andcommunicate key factors that drive future value. Knowledge is
described as the only meaningful resource in the Knowledge
Economy (KE). Although there is recognition that knowledge is a
key business asset, many organizations still do not understand theimplications of Knowledge Management (KM). The key is tounderstand what makes knowledge valuable and, in particular,
how knowledge creates wealth in a knowledge-driven economy.
KM deals with the production, application, and distribution ofknowledge within and between organizations. Such intellectual
assets are always constituted through practices and undertakingsin an everyday work life setting. This paper seeks to examine how
the BSC represents a relevant tool to KM, bridging the gap between
strategic objectives set at the senior level within an organizationand their operational execution.
An Approach to New Product Development Management in
SMEs
Bingwen Yan1
1
Cape Peninsula University of Technology, South Africa

In current dynamic manufacturing environment, Small, Medium
Enterprises (SMEs) must develop new products successfully inorder to maintain a competitive advantage. SMEs differ from large
companies due to their limited resources. Currently, most of SMEs
lack a structured process in their New Product Development (NPD)
management. NPD is vital for SMEs to survive in a competitive
business environment. Data collected through interviews andsurvey questionnaires from 40 SMEs in the Western Cape Province,
South Africa suggest that SMEs need a more structured NPD
model which consists of critical elements such as management
commitment, employee involvement, product strategy, newproduct quality, customer satisfaction, and feedback of new
product launching.

This paper proposes a new model for Technology & Automation
Evaluation of an industry. The method involves measuring theeffect of different technology elements on various dimensions of anindustry. As proof-of-concept, the Technology Ratio of a sample(Tesla Industries) has been calculated using this method. It has
been found that this technique may be applied to analyze theTechnology application of any industry, thus indicating the areasthat may be automated to improve performance and efficiency.

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Session
Date
Time
Room
ChairsTechnology & Knowledge Management (6)9/12/2010
15:30 - 17:15
NAPLES 2603
Uchenna Cyril Eze; Hongyi Sun

Fuzzy Axiomatic Design for Knowledge Demanders andSuppliers in Knowledge Service
Xi Chen1, Jing Han2, Zhi-ping Fan3, Yang Liu3
1
Xi'dian University, China
2
China Mobile Group, Shanxi Company, China
3
Northeastern University, China

In order to find the appropriate matching pairs between
knowledge demanders and knowledge suppliers, this paper
researches the matching problem in knowledge service. Based on
the expectation level information of demanders and the actuallevel information of suppliers, it is an important research topic tomatch the two sides in multi-attribute trade. Considering themulti-attribute matching design problem in knowledge service, it
gives the description of multi-attribute trade matching problem
between demanders and suppliers. In order to solve the problem, acalculation method of multi-attribute matching degree based on
axiomatic design is proposed to analyze the matching degree
between demanders and suppliers. Then, a multi-objective
optimization model is constructed to solve the matching problem
in knowledge service. The model is transformed to a single
objective model by the method of weighted sums based onmembership function. By solving the model, the trade matching
results can be obtained. Finally, an illustrating example is given toshow the feasibility and practicability of the proposed approach.
Information Technology Acceptance Models Comparison and IT
Development Strategies: In Small and Medium Sized
Enterprises Case
Masoud Movahedi1, Mostafa Zamanian 2, Amirhossein Meisami3
1
Imam Hussain University, Iran
2
Amid Development Management Consultants, Iran
3
K. N. Toosi University of Technology, Iran

Numerous studies conducted on the information technology (IT)acceptance specifically in developing and less-developed countries
indicates the importance of acceptance as a substantial stage in theprocess of IT implementation. Perceiving problems, opportunities,
threats and fundamentals makes this process more convenient.
Considering numerous researches in the field of IT acceptance, thisstudy provides essential classification on models of the effective
acceptance factors, besides presenting critical concepts ofacceptance through IT literature. Additionally, categorized models
were tested in Iranian insurers and brokers in order to compare
their effectiveness and the results confirmed the necessity ofconsidering non-technical factors as well. At the end, theapproaches employed within acceptance process were classified
into long, mid and short-term strategies.
A Framework for Measuring Performance Faculty Knowledge
Management Program
Amelia Kurniawati1, Luciana Andrawina1
1
Telecom Institute of Technology, Indonesia

This research is proposed to explore and develop indicators fromthe framework of knowledge management measurement in afaculty of a university. The concept to measure organizational
knowledge sharing capability and business value consists of four
dimensions. The first dimension, cognitive dimension, consists ofshare language and share naratives. The second dimension,
codified knowledge dimension, consists of formal knowledge andknow how. The third dimension, culture dimension, consists ofknowledge contributing and knowledge transfering. The last
dimension, network ties dimension, consists of direct and indirectcommunication.
An Evidential Reasoning Based LSA Approach to Document
Classification for Knowledge Acquisition
Rozlini Mohamed1, Junzo Watada1
1
Waseda University, JapanWeb is one of major information sources. Failure in proper
management of knowledge leads to incorrect results returned bysearch engines. Therefore, the web should have an effective
information retrieval system to improve the correctness of retrieval
results. This study provides a method to assign a new document to
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the fittest category out of predefined categories, where latentsemantic analysis (LSA) is used to evaluate each term in
documents, the similarity between terms and documents as well as
the one between terms and categories. The objective of our method
is to fuse evidential reasoning method with LSA which can assign
a new document to a predefined category. The method provides
better results in performance of classification comparing to thefusion of an evidential reasoning approach with term frequency
inverse document frequency (TFIDF).
Requirements Uncertainty and Standardization in IS
Development Projects: A Survey of the IT Sector in China
Younes Benslimane1, Zijiang Yang1, Bouchaib Bahli2
1York University, Canada
2Danube University, Austria

This paper examines the issue of requirements uncertainty in
information systems (IS) development projects in China. It
focuses on key dimensions of IS requirements uncertainty, theireffect on project performance and on the role of typicalframeworks used to standardize IS development processes.
Findings from a survey of 82 senior information technology (IT)professionals show that (i) instability and diversity of IS
requirements are the most problematic dimensions ofrequirements uncertainty, (ii) requirements uncertainty affects theperformance of IS development projects and (iii) standardization
can reduce that uncertainty and improve the performance of IT
projects. The implications for research and practice are discussed.
Knowledge Long Tail

I-Ching Lin1, Rainer Seidel1, David Howell1, David Walker1
1
The University of Auckland, New ZealandThis paper proposes an approach to visualize the benefits ofapplying contemporary technology in explicit knowledge
management processes. The 'Knowledge Long Tail' is a novel way
of categorizing individual and organizational knowledge, and ofmodeling knowledge in organizations in terms of its type andfrequency of use. The concept is inspired by the market long tailphenomenon raised by Chris Anderson. Based on theoreticalconsiderations, it is proposed that by using the three 'long tailtechnology drivers' to integrate individual knowledge into anorganizational knowledge management system, individual andorganizational knowledge can be utilized in a more efficient andeffective manner.
Knowledge Sharing and Total Quality Management: A
Conceptual Framework
Jamie Li-Yi Chua1, Uchenna Eze1, Gerald Guan Gan Goh1
1
Multimedia University, Malaysia

This paper examines factors that influence knowledge sharing andthe role of knowledge sharing on Total Quality Management(TQM). Knowledge is recognized as a key element in production
processes that enhances the capacity of companies to be more
responsive to customers' want. Prior works on knowledge sharing
have focused on the service industry. This paper is one of the rareattempts to highlight the significance of knowledge sharing indeveloping functional manufacturing processes. We will develop adetailed literature on knowledge sharing including the conceptual
development and the underpinning theory. We will apply amulti-method approach for data collection from a sample for about1200 companies. Descriptive and Inferential analysis will be
conducted to summarize and interpret the relationships between
the variables, respectively. We expect the research findings to be
useful to manufacturing companies in identifying essentials ofknowledge sharing among employees. Consequently, we hope that
effective knowledge sharing capacity in the companies would
enable improved work processes and better manufacturing
practices. Hence efficient TQM and implications for leanmanufacturing.

Session
Date
Time
Room
ChairsSupply Chain Management (4)9/12/2010
11:00 - 12:30
NAPLES 2702
Kamrul Ahsan; Mahdi Bashiri

An EPQ Model Under Partial Trade Credit Financing with Credit
Sensitive Demand
Chandra K Jaggi1
1
University of Delhi, India

Trade credit is an increasingly important payment behavior in realbusiness transactions. In practice, the supplier allows a certain
fixed credit period to settle the account for stimulating retailer’s
demand. From the retailer’s viewpoint, during the credit period
before payment must be made, he/she can sell the items andcontinue to accumulate revenue and earn interest. The main
purpose of the present paper is to explore the impact of credit
period on the retailer’s demand, which may be instant or delayed.
An EPQ (Economic Production Quantity) model under thecondition of two echelon trade credit with credit sensitive demandhas been analyzed. The optimal credit period offered by theretailer and the optimal replenishment time has been jointly
evaluated in order to maximize retailer’s profit.
A Novel Swarm Optimization Technique for Partner Selection in
Virtual Enterprise
Mohapatra S S1, S. Sahu2, Saurav Datta1, Prasanna K1, Nihar Ranjan Nayak1
1
National Institute of Technology, India
2
Indian Institute of Technology, Kharagpur, India

Partner selection is a critical issue in formation of virtual
enterprises and increasing its operational effectiveness. Such aproblem belongs to combinatorial optimization category andknown as NP-hard problem. Usually, evolutionary methods arebeing adopted to obtain near-optimal solutions. In this paper, avariant of swarm optimization is proposed to handle combinatorial
problems efficiently compared to its continuous counterpart. The
method substantially reduces the number of tuning parameters in
the algorithm. The algorithm presented include main crucial
factors for partner selection such as the running cost, reaction timeand running risk and select the partners for various processes thatminimizes total cost. The working of the algorithm isdemonstrated with the help of a typical example. Exhaustive
simulation illustrates the effectiveness of algorithm.
Understanding Trends of Car Recalls

Kamrul Ahsan1
1
Auckland University of Technology, New ZealandThis research conducts an empirical study on car recalls in the US
market. The research uses secondary data from recall websites
maintained by public and private organizations. The objectives ofthe study are to investigate car recall trends and identify the causes
and effects of recalls. Analysis shows that the majority of car recalls
are initiated by a few car makers that are facing an increase inrecalls and customer complaints. There exists a significant
influence of customer complaints on car recalls. Furthermore, thelatest car models seem to have less customer complaints comparedto older models, and they also have less recalls compared to theolder models. The research examines Toyota's case of recent recalls
and identified some immediate impacts of recalls on sales and on
market share. This research can be further extended to identify key
causes of car recalls and the impact on business performance.

using CSA are compared with the results obtained using GA.
Sensitivity Analysis is carried out to observe the variation in
distribution and the total cost as a function of fixed cost, variable
cost and demand. After the optimization of the distribution
problem, the optimization of supply at the plants concerned isundertaken, wherein which significant improvement in total cost isachieved by relaxing the fixed-supply constraint existent in theoriginal problem.
A Novel Rewards-based Protocol and Decision-making
Technique for Transshipment in Supply Chains

Lokendra Shastri1, Srinivas Narasimhamurthy1, Durga Prasad Muni1
Infosys Technologies Limited, India

1

We propose a novel rewards based protocol and online
decision-making technique to transshipment between stocking
locations each supplied periodically to replenish their stocks. Our
approach enables independent decision-making by the stocking
locations while each of them can adopt replenishment strategies as
they wish. The relevant trade-off in our context is that of asignificant reduction in the shortage costs for a smaller investment
in transport costs. We conduct a multiperiod simulation study
where in each period transshipment decisions are followed bydemand occurrence followed by demand satisfaction.
Reverse Logistics Network: A Review
Zheng Wang1, Hua Bai1
1
Jinan University, China

As the fundamental and strategic issue in reverse logistics, reverse
logistics network has become one of the academic research focuses.
This paper gives a literature review on reverse logistics network
researches in the last decade, and summarizes the research outputof two major methodologies: case study and quantity model. This
paper further classifies the numerous reverse logistic networkmodels as closed-loop model, generic model, stochastic model and3PLs model. This comprehensive review may help identify the
future research opportunities.
Solving the Pickup and Delivery Problem in Semiconductor
Supply Chain
Chun-Mei Lai1, Cheng-Che Chen1
1
Far East University, Taiwan

Taiwan's semiconductor supply chain has been constructedcomprehensive and the performance of this industry is verysignificant. With the comprehensive supply chain, transportationand distribution activities emerge as one of the central issues
owing to their complexity and costs. Since the pickup anddelivery problem in semiconductor supply chain (PDP-SSC)
involves constraints on pickup and delivery, product/vehicle
compatibility, multiple-priority, and vehicle capacity constraints, it
is more difficult to solve than the classical pickup and delivery
problem. In this study, we consider the PDP-SSC and formulate
the PDP-SSC as an integer programming program to minimize
total traverse time.
An example is used to illustrate theperformance of the proposed formulation.

Distribution Planning in Supply Chain Management

Radha Ramanan Thiyagarajan1, K Ratnakumar1, Abhijith Vasudevan1,
Mishaal Sarawgi1, Mithun Sundar Raj1
1
National Institute of Technology Calicut, India

The work involves developing a simulation model and a heuristic
for a distribution problem with fixed charge in a two stage supply
chain. The work is extended to include an integrated supply chain
management taking into account both the capacity constrained
production environment and two stage transportation distribution.
In the first phase the project aims at optimizing the transportation
distribution problem using genetic algorithm. In the second phase,a Combinatorial Search Algorithm (CSA) is used for finding the
optimum total cost of distribution. The results that are obtained
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Session
Date
Time
Room
ChairsSupply Chain Management (5)9/12/2010
13:30 - 15:00
NAPLES 2702
Suk-Chul Rim; Assed Haddad

Analysis of Value Chain Coordination via Revenue-Sharing for
Improving the Expected Profits
Yuhei Koike1, Masato Kotani1, Ushio Sumita1, Yoshitugu Yamamoto1
1
University of Tsukuba, Japan

Recently, the value chain coordination has been drawing muchattention of both researchers and practitioners. One of the mostprevalent approaches would be "revenue-sharing", where a
supplier providing products to a retailer works together with theretailer, and the two parties agree upon a contract so as to increase
their respective profits. More specifically, the wholesale price of the
supplier to the retailer is reduced to w, and in exchange, the retailer
would return the (1 - "Theta") portion of its revenue to the supplier.
The purpose of this paper is to analyze this revenue-sharing
scheme by exploring the "Theta" - w plane and the order quantity
Q for improving the expected profits of both the supplier and theretailer. In particular, the region of ("Theta", w) is identified
explicitly, in which the improvement for both would be assured.
Furthermore, several new scenarios are proposed, along which thetwo parties may reach agreement comfortably.
Using Hybrid Metaheuristic Approaches to Solve Bi-Level
Linear Programming Problem for Supply Chain Management
R. J. Kuo1, Y. S. Han2
1
National Taiwan University of Science and Technology, Taiwan
2
National Taipei University of Technology, Taiwan

Bi-level linear programming is a technique for modelingdecentralized decision. It consists of the upper level and lower
level objectives. Thus, this paper intends to apply bi-level linear
programming to supply chain management and develops anefficient method based on hybrid of genetic algorithm and particle
swarm optimization. The performance of the proposed method is
ascertained by comparing the results with other metaheuristic
approaches.
A Multi-Product Capacitated Inventory-Location Model with
Risk Pooling
Noura Al Dhaheri1, Ali Diabat1
1
MASDAR Institute, United Arab Emirates

In this paper, a novel formulation for the capacitated warehouseinventory-location model with risk pooling for multiple products
is proposed. A single plant ships different types of products toretailers via a network of warehouses. The locations and inventory
policies of the warehouses are chosen so as to minimize the sum of
fixed facility location, transportation, and inventory carrying costs.
The warehouses retain safety stock so as to maintain appropriate
service levels in the face of uncertain demand at the retailers for
multiple products.

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Bees Algorithm for Dynamic Multi-Zone Dispatching in Truck
Load Trucking
Pairush Triwate1, Pongchanun Luangpaiboon1
1
Thammasat University, Thailand

An alternative way for increasing the efficiency of transportation
management system is to usef dynamic multi-zone dispatching.
This problem concentrates on the quantities of inbound andoutbound in each area and it is modified from the multi-zone
dispatching. The factors of the rearrangement penalty of the area,
in each zone, including time periods are also included. The
objective of this research is to manage zones with minimal
imbalance scenario via an application of the Bees algorithm.
Multiple solutions can be found in some cases. Decision making
for the best effective solution should be then considered together
with other scenario like zone boundary and distance between areas.
In some cases the imbalance from the last iteration is not met theminimum, it can be accepted due to its non-significant difference.
This study also found that number of zones affect iterations toward
the optimum. Number of areas affects the imbalance. The
parameters of zone and area are then the important variables forthese multi-zone dispatching systems.
Supply Chain Performance Improvement Using Vendor
Management Inventory Strategy
Wei Xu1, Dongping Song1, Michael Roe1
1
University of Plymouth, United Kingdom

This paper considers supply chain performance improvement in areal case study, a Chinese medium-sized aluminum manufacturer.
The case supply chain is first described through process mapping.
Its inefficiency is analyzed in relation to the associated information
flows and material flows. A vendor managed inventory (VMI)
strategy is developed and applied to the case supply chain. It isshown that the VMI strategy can significantly improve the supply
chain performance such as reducing customer order cycle time andreducing safety inventory costs. Other benefits to the manufacturer
and its suppliers and the implications of the VMI implementation
are discussed.
Stochastic P-hub Center Covering Problem with Delivery Time
Constraint
Mahdi Bashiri1, Somayeh Mehrabi1
1
Shahed University, IranIn this paper, stochastic version of p-hub covering center problem(we call it Sp-HCCP) has been presented that optimizes thelocation of the hubs and allocation of non-hub nodes to hub nodes.
The goal of our model is to maximize the minimum service-levelthat can achieved for a given maximum path length (delivery timeon the path). We have formulated this problem using the chanceconstraints with a linear structure and a Genetic Algorithm (GA)has been developed to solve large scale problems. Numericalexamples are solved by GA and the results are compared withexact solutions to prove the efficiency and robustness of the
proposed GA. The results show that the optimal solutions are
sensitive to the amount of stochastic demands also they show the
precision of proposed GA method.

Session
Date
Time
Room
ChairsSupply Chain Management (6)9/12/2010
15:30 - 17:15
NAPLES 2702
Ushio Sumita; S.S. Mahapatra

Impacts of Random Capacity and Fluctuating Environment On
Inventory Systems
Xiaoming Yan1, Ping Cao2, Minghui Zhang2, Ke Liu2
1
Dongguan University of Technology, China
2
Chinese Academy of Sciences, China

In this paper, we consider an inventory problem with random
demand and random capacity in a fluctuating environment. Our
objective is to minimize the total discounted cost during the wholesales horizon by choosing an appropriate replenishment policy. We
show that the optimal ordering policy has an extended order-up-to
type. The optimal cost function and the optimal ordering policy
both have some stochastically monotone relationships with therandom capacity under some mild conditions.
A Hierarchical Assessment Method using Bayesian Network forMaterial Risk Detection on Green Supply Chain
Benjamin Yen1, Bingcong Zeng1
1
The University of Hong Kong, Hong Kong

Today's social awareness of environmental protection presents theelectronic companies with an irreversible trend towards green
manufacturing. It raises harsh requirement for the sourcing
process and imposes unprecedented pressure to the QA system,
majorly due to the risk of hazardous material. As QA proceduresare becoming more complicated for coping with increasingmaterial risk and meanwhile the time and resource available aretightly constrained, the development of an effective mechanism formaterial testing turns up to be a critical issue. In this study, ahierarchical material risk assessment approach is proposed basedon FMEA framework. Taking into account the risk occurrence, thedifficulty in detection and the severity the risk causes, it enables
companies to estimate their material risks dynamically using
Bayesian network. With its help, companies can assess andprioritize the material risk in a systematic and efficient manner
which will drive QA towards a more high-performance process.

Corporate Myopia, Forecast Precision, and Production Planning
Zhaolin Li1
1
The University of Sydney, Australia

This paper establishes linkages among corporate myopia, demand
forecast, marketing efforts, and production planning. It shows thatthe option of discretionary disclosures and managerial myopia do
not necessarily distort the operational activities such as marketing
campaign and production, but do induce less investments inforecast precision than a benchmark does.
Constitution and Evaluation of Waste Electric and Electronic
Equipment Reverse Logistics Capability
Jianchang Liu1, Hua Zhong1, Wenjing Wei1
1
Beijing Institute of Technology, China

The relevant logistics capability researches are introduced andsummarized. The definition of Waste Electric and Electronic
Equipment (short as WEEE) reverse logistics capability is set forth.
With the view of flexibility, openness and extensibility, theconstitution of WEEE reverse logistics capability is analyzed andexpounded. Based on the essential factors of composition, thepreliminary discussions on the evaluation of WEEE Reverse
Logistics Capability from the index system and quantitative
methods are presented.
Optimal Single-Period Inventory Financing Decisions with
Stochastic Demand
Jiayan Xu1, Ke Fu1
1
Sun Yat-sen University, China

Inventory financing business plays an important part in solving
financing difficulty of small-and-medium-sized enterprises (SMEs).
This paper develops single-period decision models from theperspective of the borrowing company. At first, we will study theborrowing company's optimal financing decision, given initial
inventory quantity. Then we consider ordering decision andfinancing decision simultaneously, and construct a joint
decision-making model. We also conduct sensitivity analysis to
study how relevant parameters affect the optimal decisions of theborrowing company.

Does Technology Capability-enriched Private Brand Impacts
Customer Satisfaction and Loyalty in the Marketing Channel?
Yin-Ying Wang1, Yung-Hsin Chen2, Shuo-Chang Tsai3, Long-Tai Chen4
1
National Yunlin University of Science and Technology, Taiwan
2
National Cheng Kung University, Taiwan
3
Asia Univeristy, Taiwan
4
Industrial Technology Research Institute, Taiwan

Marketing channel as the downstream end of a supply chain
assumes a prominent role for delivering company’s offerings tocustomers, meeting their demands, and creating cash flow forcompany. To ensure better customer relationship and secure moremarket power, retailing stores make efforts to differentiatethemselves by introducing private brand products in addition toexisting national brands. Globalization enables multiple national
companies to make inroads into the markets of developing andemerging economies, provoking fierce competition. Based on the
resource-based view of the firm (RBV), this paper develops atheoretical framework and allows a structure equation modeling(SEM) technique to empirically test the hypotheses. It is about how
private brand image built on company’s technology capability andintimacy out of localism influence customer satisfaction and loyalty.
The findings have implications with international marketing
management and fill the gap in the extant body of literature.

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Session
Date
Time
Room
Chairs

Production Planning & Control (2)9/12/2010
11:00 - 12:30
NAPLES 2602
Carman Ka Man Lee; Junqiang Wang

An Efficient Heuristic to Sequence Mixed-Model AssemblyLines
Rico Gujjula1, Hans-Otto Guenther1
1
Technical University Berlin, Germany

Sequencing mixed-model assembly lines is a well researched topic
in literature. However, many methods which were developed tosolve this problem fail to cope with either the large size or specificcharacteristics of real-life instances. In this paper, an efficientheuristic is proposed which is able to handle large and supposedly
difficult problem instances. Test scenarios considering real-life
aspects were generated to evaluate the performance of the heuristic
for realistic problem instances. It is shown that the proposed
heuristic outperforms traditional priority rule-based methods
known from literature and requires a similar computational effort.
Human-computer Collaborative Approach to Subassembly
Planning of Complex ProductXiaoyi Wang1, Huifen Wang2
1
Anhui University of Technology, China
2
Nanjing University of Science and Technology, China

It is necessary to divide recursively big assembly into smaller
subassemblies during assembly planning for complex product.
There are some disadvantages in current dividing methods using
automatic subassembly detection, such as low efficiency and poor
producibility. After analyzing relationship between hierarchicalstructure tree and multi-level subassemblies, a new strategy ofdividing subassembly based on reorganizing structure tree isfirstly proposed in this paper. To improve the efficiency andpracticability of subassembly planning, human-computercollaborative planning approach is further presented, which takes
into account different characteristics of internal and external
constraints existing in manufacturable subassembly. Validity
verifying algorithms of reorganizing structure tree andperformance evaluating methods for subassembly planningscheme are also given. To show the effectiveness of the above
methods, case study is finally given for subassembly planning
using human-computer collaborative approach.
Multi-bottleneck Permutation Flow-shop Scheduling Driven by
Bottleneck
Junqiang Wang1, Jianbin Yang1, Jian Chen1, Songfei Zhang1, Shudong Sun1
1
Northwestern Polytechnical University, Ministry of Education, China

According to the theory of constraints (TOC), bottleneck should bemade full use while non-bottleneck should be subordinate to thebottleneck. However, for the multi-bottleneck permutation
flow-shop scheduling problem (PFSP), different bottleneck causes
different driving force resulting in different even conflictedscheduling solution. Aiming at this problem, the multi-objective
mathematical model is given. Then TOC-based bottleneck-driven
approach is proposed. For the bottleneck machine, the ant colonyalgorithm (ACA) is introduced to optimize the bottleneck
scheduling. While the backward-forward approach is used todeduce the non-bottleneck's scheduling. Finally an example with 5
machines and 15 jobs was presented to illustrate the proposed
approach and its validity.

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Order-Lot Pegging Heuristics for Minimizing Total Tardiness ina Semiconductor Wafer Fabrication Facility
Jae-Gon Kim1, Seung-Kil Lim2, SangOh Shim3, SeongWoo Choi4
1
University of Incheon, South Korea
2
Sungkyul University, South Korea
3
Hanbat National University, South Korea
4
Kyonggi University, South Korea

We consider a problem of order-lot pegging in a semiconductor
wafer fabrication facility. In the problem, we determine
assignments of wafers in lots to orders and plans for input releaseof wafers into wafer fabrication facility with the objective ofminimizing the total tardiness of orders over finite horizon. The
problem is formulated as a mixed integer linear program. To tackle
industrial-sized problems, we develop six heuristic algorithms
based on the earliest due date rule. The test results on randomly
generated problems show that the suggested algorithms give
better solutions than an optimization method of a commercial
software package within a reasonable computation time.
An MILP Approach To Short-term Scheduling of an Industrial
Make-and-Pack Production Facility with Batch Splitting and
Quality Release Times
Philipp Baumann1, Norbert Trautmann1
1
University of Bern, Switzerland

We develop an MILP formulation for the short-term scheduling of
an industrial make-and-pack plant producing consumer goods. We
address a case study which includes sequence-dependentchangeover times, heterogeneous storage units with finite
capacities, quality release times, batch splitting, partial equipment
connectivity, and transfer times. The planning problem consists inminimizing the production makespan while meeting given
end-product demands. Our computational results show that for
the first time, small instances of the case study can be solved to
optimality within short CPU times.
Solving Production Reconfiguration based on Constraint
Satisfaction
Linda Zhang1, Qianli Xu2
1
University of Groningen, Netherlands
2Institute for Infocomm Research, A*STAR, Singapore

Production reconfiguration has been well recognized as aneffective means to plan production processes for product families.
The major challenge of production reconfiguration originates fromthe handling of numerous constraints associated with product andprocess variety. This paper develops a constraint satisfaction
approach with a domain model to facilitate production
reconfiguration decisions regarding constraint identification,
representation and evaluation. An industrial example of textile
spindle production reconfiguration is used to illustrate thefeasibility and potential of the domain-based constraint
satisfaction problem model for production reconfiguration.

Session
Date
Time
Room
Chairs

Production Planning & Control (3)9/12/2010
13:30 - 15:00
NAPLES 2602
Seyyed Mohammad Taghi Fatemi Ghomi;
Seng Fatt Wong

Hybrid Genetic Algorithm for Bi-objective Flow Shop
Scheduling Problems with Re-entrant Jobs
Carman Ka Man Lee1, Danping Lin1
1
Nanyang Technological University, Singapore

This paper presents a simulated genetic algorithm model ofscheduling the flow shop problems with re-entrant jobs. The
objectives of this research are to minimize the weighted tardinessand makespan. The proposed model considers that the jobs with
non-identical due dates are processed on the machines with thesame order. Furthermore, the re-entrant jobs are stochastic as only
some jobs are required to reenter to the flow shop. The tardinessweight is adjusted once the jobs re-enter to the shop. The
performance of the proposed GA model is verified by a number ofnumerical experiments where the data come from the casecompany. The results show the proposed method has a higher
order satisfaction rate than the industrial practices.
A Column Generation Heuristic for Dynamic Capacitated Lot
Sizing with Random Demand Under a Fillrate Constraint

Horst Tempelmeier1
1
University of Cologne, Germany

This paper deals with the dynamic multi-item capacitatedlot-sizing problem under random period demands (SCLSP).
Unfilled demands are backordered and a fillrate constraint is ineffect. It is assumed that, according to the static-uncertainty
strategy of Bookbinder and Tan (1988), all decisions concerning thetime and the production quantities are made in advance for theentire planning horizon regardless of the realization of thedemands. The problem is approximated with the set partitioning
model and a heuristic solution procedure that combines column
generation and the recently developed ABCβ heuristic is proposed.
A Decentralized VPLs based Control Policy for Semiconductor
Manufacturing
Shiqing Yao1, Zhibin Jiang1, Na Li1, Ran Liu1
1
Shanghai Jiao Tong University, China

In this paper, we propose a decentralized VPLs based control
policy for semiconductor manufacturing. Based on utilizations andentropies, a new classification method is designed to decentralize
global objectives into local objectives of workstations. Then, a
decentralized multi-objective scheduling policy is proposed tocontrol Virtual Production Lines (VPLs). We generate two SMS
instances from Dataset 4 in order to evaluate multiple
performances of the proposed policy. Experimental results validate
the effectiveness in solving multi-objective scheduling problems
for the semiconductor manufacturing system.

Parallel Machines Scheduling with Dual Criteria andSequence-dependent Setups: Cooperative Metaheuristics
J. Behnamian1, Seyyed Mohammad Taghi Fatemi Ghomi1
1
Amirkabir University of Technology, IranThis paper presents a min-max multi-objective procedure for adual-objective, namely makespan, and sum of the earliness andtardiness of jobs in due window problems, simultaneously. This
research extends the new hybrid metaheuristic for solving parallelmachines scheduling problems with sequence-dependent setup
times which comprises three components: an initial population
generation method based on an ant colony optimization, asimulated annealing as an evolutionary stochastic searchingalgorithm, and a variable neighborhood search which involves
three local search procedures to improve the population. In
addition, two VNS-based hybrid metaheuristics, which are a
combination of two methods, SA/VNS and ACO/VNS, are also
proposed for solving the addressed scheduling problems. The
non-dominated sets obtained from each of algorithms arecompared in terms of various indices, and the computational
results show that the proposed algorithm is capable of producing a
number of high-quality Pareto optimal scheduling plans.
A Hybrid Simulated Annealing for the Single Machine
Capacitated Lot-sizing and Scheduling Problem with
Sequence-dependent Setup Times and Costs
M. Mirabi1, Seyyed Mohammad Taghi Fatemi Ghomi2
1Islamic Azad University, Iran2
Amirkabir University of Technology, IranSingle machine capacitated lot-sizing and scheduling problem(SMCLSP) is one of the most famous fields of research inscheduling area. What makes this problem particularly difficult tosolve is large and sequence dependent setups and also multiple
criteria that must be considered. This paper formulates such aproblem and presents a hybrid simulated annealing (HSA) for it.
The superiority of HSA is shown compared to one the efficientrecent heuristics. The average deviation of the HSA from thecorresponding optimal solution for small size problems ranges
from 0 to 10%.
A Fixed Rate Launching of Mixed-Model Car Sequencing in theMultiple Assembly Lines
Suksan Prombanpong1, Chaiya Dumkum1, Ekarach Satranonda2
1King Mongkut's University of Technology Thonburi, Thailand
2
Mitsubishi Motors (Thailand), Thailand

This paper aims to sequence mixed-models of assembly cars
launching into the final inspection lines using
a fixed rate launching interval algorithm. There are four different
car models which are simultaneously assembled in the assemblylines. Finally, they are queued up for inspection at the workstations
which are designed in 3 parallel lines. Due to the fact that eachmodel has different required production demands; therefore, theexact sequencing pattern in order to meet required production rateis inevitable. Thus, the algorithm in mixed- model assembly line
(MMAL) namely fixed rate launching interval is applied. However,the production requirement can’t be equally divided among thementioned 3 parallel lines. Therefore, the fixed rate launchingalgorithm will be applied to each line. As a result the launchinginterval of each line is determined at 3.390, 3.630, and 3.630
minutes respectively. It is found that the exact sequencing pattern
can be obtained and the required production rate can be achieved.
The idle and/or congestion times are kept at minimum;
consequently, the remaining time at the end of an hour isconsiderable increasing from 3.495 to 9.150 minutes in line 1 andslightly increasing from 7.262 to 9.80 minute in line 2 and 3.

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Session
Date
Time
Room
Chairs

Production Planning & Control (4)9/12/2010
15:30 - 17:15
NAPLES 2602
Hsuan Pu Chang; Mohammad Mirabi

Re-engineering the Forecasting Phase Using Traditional and Soft
Computing Methods
Massimo Bertolini1, Maurizio Bevilacqua2, Filippo Emanuele Ciarapica2
1
University of Parma, Italy
2
Università Politecnica delle Marche, Italy

The aim of the work is verifying the possibility of extrapolating
information on demand trends, for a company specialized in the
production of aluminium tins, using the data collected in previous
periods. This study is mainly divided into three stages: (1) datapre-processing (data collection) stage, (2) adaptive network
evaluating stage and (3) forecast and recall stage. At the stage ofdata collection, the data are divided into four categories: time serial
data, macroeconomic data, downstream production demand dataand industrial production data. The company analysed in thiswork usually carried out the prediction activities by means ofexpert judgement. In the case analyzed, four models weredeveloped in order to predict the monthly number of tins: three
traditional methods based on historical series and neural networks.
Soft computing models were compared with traditional prediction
models. Particularly the Holt-Winters forecasting method wastested developing a model that take into account seasonal
phenomena.
Incremental Temporal Reasoning in Job Shop Scheduling Repair
Yi Huang1, Li Zheng1, Brian Williams2, Lin Tang1, Huasheng Yang1
1
Tsinghua University, China
2
Massachusetts Institute of Technology, United States

A working predictive schedule can be useless because of thevarious external or internal disruptions in a job shop. Total
rescheduling may cause problems such as shop floor nervousness.
Thus, the job shop scheduling repair (recovery) approach aims at
generating a solution satisfying the updated constraints andmaking deviations minimized. We propose an incremental
temporal reasoning approach in this paper to solve job shop
scheduling repair problems. Specifically, such a problem isformulated as a disjunctive temporal problem (DTP), framed as an
optimal constraint satisfaction problem (OCSP) formally, andfinally solved by performing an algorithm integrating incremental
temporal consistency and efficient candidate generation. Throughinvolving human interactive mechanism, domain experts canmake higher quality decisions by balancing makespan anddeviations.
A GA-Based Heuristic Algorithm for Non-Permutation
Two-Machine Robotic Flow-Shop Scheduling Problem of
Minimizing Total Weighted Completion Time
Juntao Li1, Lizhen Zhang1, Chunxia Shangguan1, Hiroshi Kise2
1
Shanghai Ocean University, China
2
Kyoto Institute of technology, Japan

We discuss a scheduling problem for a two-machine robotic
flow-shop with a bounded intermediate station and robots whichis realistic in FMCs (flexible manufacturing cells). The problem
asks to minimize the total weighted completion time. It is NP-hard.
In this paper, we propose a heuristic algorithm based on GA(Genetic Algorithm) which is applicable to the problem, and whichallows not only permutation, but also non-permutation schedules,
because the latter has possibility to improve the former for thisobjective function. It is shown by numerical experiment that the
proposed method is more effective than existing heuristics, andthat there are some situations where the non-permutation
scheduling is better than the permutation one.

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Autonomous Product Manufacturing Cycle An Integrated
Approach to Process Planning and Production Control
Katja Windt1, Oliver Jeken1
1
Jacobs University Bremen, Germany

The complexity of nowadays logistics processes calls for new
approaches to improve the logistics performance. The concept ofautonomous logistics processes has proven to be a promising way
to cope with these challenges. In this paper the idea of autonomous
product manufacturing will be presented with a special focus on
an integrated approach to process planning and production
control. In particular we introduce a new way to let products
decide by themselves what to become and how. Based on current
findings in flexible and reconfigurable process planning, aframework for autonomous production will be presented.
Following a critical discussion of the contributions and limitationsof the proposed approach further research will be addressed.
A Simulated Annealing-based Approach for Dynamic Facility
Planning
Tzer-Ming Chen1, Ching Chih Chen1, Shan-Ping Chuang2
1
National Taipei University of Technology, Taiwan
2
Huafan University, Taiwan

A poor facility design can be costly, and may lead to poor-quality
products, low employee morale and customer dissatisfaction.
Typically, the facility layout is decided when the facilities are firstset up. However, product variety, process improvement andtechnology improvement can make the original layout plan
inefficient. Since the facility layout problem is a NP-hard problem,
an optimal solution is difficult to obtain. This study uses asimulated annealing (SA)-based approach to solve the dynamic
layout problem, considering the handling cost, the facility moving
cost, and the facility setup cost.
A New Numerical Method of Nonlinear Equations by Four
Order Runge-Kutta Method
Ruitao Lin1, Chan Wang1, Fang Liu1, Yueliang Xu1
1
Southwest Jiaotong University, China

In this paper, we use homotopy method to transfer nonlinear
equations to a differential equations, then we apply four-order
Runge-Kutta method to solve the differential equations for getting
a more stable and easily convergent solution. What is more
important, we demonstrate a complete proof of the whole process,which provide a scientific foundation for the method as a whole. In
the end, we give a specific example that is solved by the approach
we have proved, which shows the efficiency and stability of themethod. With the new methods, some certain nonlinear equations
can be simply and precisely caculated, which can contribute toproduction planning and control or opreation problems
significantly.

Session
Date
Time
Room
ChairsService Innovation & Management (3)9/12/2010
11:00 - 12:30
NAPLES 2701
Li Yueh Chen; Linda Zhang

A Simulation on Impacts of a Dynamic Pricing Model for
Perishable Foods on Retail Operations Productivity andCustomer Behaviours
Jaekwon Chung1, Dong Li1
1
University of Liverpool, United Kingdom

This paper developed a dynamic pricing strategy for perishable
foods based on prior optimal and dynamic pricing models for
perishable foods. The proposed strategy is expected to transformconsumer purchasing patterns in a more strategic way withadvanced tracking solutions, and to significantly curtail waste andincrease retail service operations productivity. Based on
information from interviews and surveys, a simulation was
conducted to investigate impacts of the proposed strategy on
retailer productivity and customer behaviours.

Applying Adaptive Course Caching and Presentation Strategiesin M-learning Environment
Hsuan Pu Chang1
1
Tamkang University, Taiwan

The use of portable device like pocket PCs and smart phone tosupport teaching and learning is not a new concept. Although thevariety of mobile platforms provide more flexible and extendable
learning experience, the various hardware restrictions
consequently become the unavoidable challenges and barriers weneed to overcome. In this paper we focus on: (1) improving thelearning performance by prefetching the upcoming learning
content; (2) improving the reading experience on small screen byadaptive content presentation; (3) distributing the wellpresentation learning content corresponding to user's specificmobile platforms by multi-presentation course package. There are
four Web Service based modules proposed to carry out the above
ideas.
The Impacts of Brand Trust, Customer Satisfaction, and Brand
Loyalty on Word-of-Mouth
Shu-Hsien Liao1, Yu-Chun Chung1, Yun-Ru Hung1, Retno Widowati1
Tamkang University, Taiwan

1

Identify Lead Users by Customer Competence
Guozheng He1, Jianan Yu2
1
Wuhan Textile University, China
2
SAP Labs China, China

Enterprises should let Lead Users participate in new productdevelopment. But in practice, it's very difficult for enterprises to
identify lead users from a large amount of common consumers.
Since lead users have stronger competencies than common users,
customer competence can be used as a dimension to measure lead
users. Based on this, a model of identifying lead users bycomputing their competencies is built. By dividing customer
competences into several indicators, a weighted competence value
can be computed. The users with the highest competence value canbe considered as lead users. This model can help enterprises
identify lead users more easily in practice.
The Application of Lean Concept Combines Demand Channel
and Supply Channel in Service Industry
Yao-hung Hsieh1, Hsiao-Ching Chen2, Wei-Lung Chang2
1
China University of Technology, Taiwan
2
Chungyu Institute of Technology, Taiwan

Based on the concept of lean, the consumption cycle of demand
channel and supply channel is investigated in this paper. Moreover,the combination of relationship between customer demand, lean
service, lean marketing, lean consumption, lean design and lean
production is studied to derive the expectative benefit from theapplication of the consumption cycle model of demand chain inservice industry. Especially hotel industry is applied as a casestudy. The model is expected to prove the point that theadvantages of willing consumption from customers and resources
waste and cost reducing from producers enables both of customers
and producers to create their benefits. Once a hotel executes theconsumption cycle model of demand chain, both hotels andcustomers are able to reach the win-win situation from dominant
strategy equilibrium that makes up an optimum consumption
cycle. Moreover, the cost from manufacture and consumption is
reduced, customer needs is satisfied, and hotels' productivity andconsumer buying power are raised. All of causes help forward
improve the speed of consumption cycle.

The study mainly investigates the relationships among brand trust,customer satisfaction, brand loyalty, and word-of-mouth.
Nowadays, the automotive industry is facing the competitiveenvironment. Whether the industry can enhance brand trust,increase customer satisfaction, and then improve brand loyalty andword-of-mouth, which is the key issue of this study. Toyota wasselected as the object of this study. 375 questionnaires were
provided and 258 valid replies were received. This study uses the
structural equation model to empirically explore the relationships
among brand trust, customer satisfaction, brand loyalty, andword-of-mouth. The results indicate the best model is causal chain,that is, brand trust must affect brand loyalty through customer
satisfaction initially, and then impact word-of-mouth throughbrand loyalty.
Evaluation on the Technological Innovation Capability in
Companies Based on the Network
Xiao-li Chen1, Ralph Riedel1, Egon Mueller1
1
Chemnitz University of Technology, Germany

Considering the importance of network for technologicalinnovation, this paper takes a new view on technologicalinnovation capability (TIC) and develops TIC indicator system,
moreover, it setups a framework for the TIC evaluation incompanies. With works on the innovation process and innovation
success and failure experiences, it highlights the importance of
network for the achievement of technological innovation, anddesigns the TIC indicator system including innovation input /process / network / management / output capability, which tries tohave a comprehensive understanding on the TIC system incompanies. Moreover, based on the fuzzy set theory, a framework
is established for the weighting of indicators and the evaluation of
the TIC level in companies. Case study based on the finding of an
online survey is used for the illustration and validation on the
proposed framework.

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Session
Date
Time
Room
ChairsOperations Research (2)9/12/2010
13:30 - 15:00
NAPLES 2701
Yong-Zai Lu; Kaveh Sheibani

The Hierarchical Hub Maximal Covering Problem with
Determinate Cover Radiuses
Rashed Sahraeian1, Ehsan Korani1
1
Shahed University, Iran

Hierarchical facility location problems with three levels deal withlocation of facilities in any level and assignment traffic to given
routing. Hub covering problems covered the demand nodes, if
they are within a particular radius of a facility that can supply theirdemand. This paper study the single allocation hierarchical hub
maximal covering problem over complete network linking in thefirst level, that is consists of hub facilities known as central hubs
and in the second and third levels are star networks linking the
hubs to central hubs and the demand places to hubs or central
hubs. The problem assigns every non-hub nodes and hubs to their
top level facilities with predetermined cover radiuses, andminimizing the total cost. The cover radiuses computed with aheuristic method finally present a mixed integer programming
model for this problem and test the performance of the problem on
the CAB data.
Generating Large Scale Undirected Graph for Solving Flow
Network Problems
Shin-Guang Chen1
1
Tungnan University, Taiwan

Since network analysis has been a formal topic in Operations
Research as well as in Reliability, researchers may need to validate
their models or theories with large scale feasible graphs for test.
This paper proposes an algorithm to generate a large scale
undirected capacitated/uncapacitated graph for applications.
Conventionally, NETGEN is employed for such purposes. But thisprogram is about 30 years old and no algorithm available forverifying the properties of the generated graphs. Moreover, it only
created directed graph. For undirected flow network problems,
there is no algorithm available in the literature. In this paper, atheoretical aspect and new features are addressed. This algorithm
is not an extension of NETGEN. The undirected versions of the 40
benchmarks in NETGEN are inspected in this paper. NETGEN had
a limited size of 8000 nodes and 35000 arcs in different graphs. The
limits of nodes and arcs are not constrained in the proposed
algorithm. Unlike NETGEN involving thousand lines of codes, asample code of no more than 43 lines is tested for examples.
Process Management Systems and Public Healthcare in Brazil:
Technology to Improve Service Delivery
Daniel G. S. dos Santos1
1
CEFET/RJ, Brazil

The reality of healthcare delivery in emerging societies are notgood enough for most of its population. This article aims to explore
how the analytical and monitoring capabilities of information
systems know as BPMS (Business Process Management Systems)
could improve the quality of services provided in Brazil. We
propose that the adoption of a service science and process-centric
view will be of great value to help the public health manager
evaluate its quality gaps while fostering better comprehension of
the system dynamics and making clear points for policy changes.

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Genetic Algorithm Based Optimization of an Agent BasedQueuing System

Karthik Sankaranarayanan1, Erik R Larsen1, Ann Van Ackere2, Carlos Arturo
Delgado2
1
University of Lugano, Switzerland
2
University of Lausanne, Switzerland

Queuing research and its applications have been studied
extensively by concentrating mainly on design, performance andrunning of the service facility under study. In this paper we show
how a simple behavioral queuing system can be modeled using a
Cellular Automata; and then we show how a Genetic Algorithm
can be used to optimize the behavioral properties of this agent
based model.
A Revenue Management Model in BTO Manufacturing Over an
Infinite Horizon
Li Li1, Zhixiang Chen1
1
Sun Yat-Sen University, China

This research examines the pricing and capacity utilization
decisions facing a BTO manufacturing firm serving customers thatare segmented by different lead-times. We model the firm’s
operation as an M/M/1 queue and treat the demand of eachsegment as being linear in price. We characterize the optimal
decisions and present numerical examples to validate the benefitsof applying RM in BTO manufacturing and the impacts oflead-times on optimality.
Simulation Modeling and Analysis on Asset Planning for
Emergency Medical System (EMS)
Jieping Liu1, Xiaocong Wang1, Ming Cheng E1
1
Beijing Jiaotong University, China

In recent decades, health care cost has increased dramatically,
while health care organizations have been under severe pressure toprovide improved quality health care for their patients. Several
health care administrators have used discrete event simulation as
an effective way for allocating resources to improve patient flow,
while meeting health care delivery budget and increase patientsatisfaction. The rapid growth in simulation software technology
has created numerous new application opportunity, including
more sophisticated implementations, as well as combining
optimization and simulation for complex integrated facilities. This
paper surveys the application of discrete-event simulation
modeling to healthcare systems of clinics. We also present theoverview of how simulation was used to investigate the reductionof waiting times in the Emergency Medical System of a mid-size
city, as well as in meeting future demand growth while minimizing
long term capital expenditures.

Session
Date
Time
Room
ChairsOperations Research (3)9/12/2010
15:30 - 17:15
NAPLES 2701
Roel Leus; Zhaotong Lian

Multiplicative Methods for Entropy Programming Problems andTheir Applications
Yuri Popkov1
1
Institute for Systems Analysis, Russian Academy of Sciences, Russian Federation

The problems of entropy functions maximization over the sets
specified with the simultaneous linear or quadratic equalities andinequalities (the problems of entropy-linear and entropy quadratic
programming) are under consideration. Multiplicative algorithms
with p-active dual and primal variables are proposed for suchproblems solving. Active variables are selected using the feedback
about p-maximal errors in the equations of complement
non-rigidity. A convergence of the algorithms proposed is studied.
The results of such methods application for the problems ofinvestment portfolio formation and traffic modeling are
considered.
An Effective Heuristic Considering Machine Flexibility for
Parallel Machine with Eligibility Problem
Rong-Hwa Huang1, Tung Han Yu2
1
Fu Jen Catholic University, Taiwan
2
Graduate Institute of Business Administration, Taiwan

Parallel machine with eligibility scheduling problem is commonly
seen in manufacturing industries such as semi-conductor
manufacturing. This paper takes flexibility concept into
consideration and develops a novel heuristic algorithm tominimize makespan of the problem. Mathematical model isdeveloped as an effectiveness comparison to this algorithm. Data
test uses random generated problem with given parameters, andthe result shows that proposed algorithm can achieve very close orexact solution to optimality.
The Fuzzy Greedy Search in Combinatorial Optimization with
Specific Reference to the Travelling Salesman Problem

Computing Fixed Points of an Increasing Mapping from a Finite
Lattice Formed by Integer Points of a Box into Itself
Chuangyin Dang1
1
City University of Hong Kong, Hong Kong

For a finite lattice $(D_I,\leq)$ consisting of integer points in an$n$-dimensional box $D$ of $R^n$ and anincreasing mapping$\psi$ from $D_I$ into itself, the well-known Tarski's fixed point
theorem asserts that there exists a point $x^*\in D_I$ such that$\psi(x^*)=x^*$, which is a fixed point of $\psi$ in $D_I$ and has
applications in supermodular games from economic analysis. To
compute such a fixed point, an arbitrary starting simplicial
algorithm is developed in this paper through an introduction of an
integer labeling rule and an application of a triangulation of $R^n$.
The algorithm consists of two phases, one of which forms avariable dimension pivoting procedure and the other afull-dimensional pivoting procedure. Starting from an arbitrary
integer point in $D$, the algorithm interchanges from one phase to
the other, if necessary, and follows a finite simplicial path that
leads to a fixed point of $\psi$ in $D_I$. The interchanging step isessential to ensure that the algorithm converges to a fixed point. A
significant advantage of the algorithm is its arbitrary starting
feature, which can certainly benefit from any information on
where a fixed point may be found.
A Lagrangian Heuristic for a Dock Assignment Problem with
Trailer Transportation

Lotte Berghman1, Roel Leus1
1
Katholieke Universiteit Leuven, BelgiumThis paper presents a Lagrangian heuristic that combines
Lagrangian relaxation with an enumerative search tree for finding
high-quality solutions to a dock assignment problem. Trailers are
assigned to gates for loading or unloading activities; the parking
lot is used as a buffer zone. Transportation between the parking lot
and the gates is performed by additional resources called terminal
tractors. After loading or unloading, a trailer cannot be transported
to the parking lot by a terminal tractor if all tractors are busy. The
trailer remains at the gate until a terminal tractor becomes
available, which may prevent other trailers from being loaded or
unloaded there. We refer to this phenomenon as blocking. The
problem is modeled as a threestage flexible flow shop.

Kaveh Sheibani1
1
Iran Telecommunication Research Center, IranThis paper describes a hybrid meta-heuristic for combinatorial
optimization problems with specific reference to the travelling
salesman problem (TSP). The method is a combination of genetic
algorithms (GA) and greedy randomized adaptive search
procedures (GRASP). A new adaptive fuzzy greedy search
operator is developed for this hybrid method. Computational
experiments using a wide range of standard benchmark problems
indicate that the proposed hybrid meta-heuristic is very efficient.

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Session
Date
Time
Room
ChairsHuman Factors (3)9/12/2010
11:00 - 12:30
NAPLES 2601
Sue Morton; Zhizhong Li

Investigation of Ergonomics in Automotive Assembly Line
Using Jack
Jianwei Niu1, Xiaowei Zhang1, Xin Zhang2, Linhua Ran2
1
University of Science and Technology Beijing, China
2
China National Institute of Standardization, China

The objective of this study is to improve the workplace layout andassembly standard in automotive assembly line by ergonomic
simulation of manual assembly tasks. The installation of fog lamps,
which involves 120 actions within 58.63 seconds, was simulatedusing Siemens Jack incorporated with Chinese digital humanmodel. The inefficient actions were found out and the computer
manikins physiological performance was evaluated by using sometypical ergonomic methods such as RULA and NIOSH lifting
equation. The physiology workload of workers was improved byre-layout the workplace and work process. As a consequence, thetime of installing the two fog lamps was shortened to 42.87 seconds.
Comparative analysis shows that the new solution is much safer,more efficient and more comfortable for assembly work.
Leading a Technical Organization through Change: A Focus on
the Key Drivers Affecting Communication
Travesh Ramkhelawan1, Marie-Louise Barry1
1
University of Pretoria, South Africa

The objective of this study was to determine the key factors withincommunication which facilitates the change process in a technicalorganization, thereby allowing the organization to reap the true
benefits of the change. The results aim at improving the efficiencyof roll-out by ensuring that the correct aspects of communication
are adequately addressed during the change process. The research
was conducted on a technical organisation, where the majority of
the workforce comprised highly skilled and qualified individuals
focusing on developing cutting edge technological innovations.
Two rounds of Delphi questionnaires were used where thefirst-round questionnaire was analyzed to formulate thesecond-round questionnaire. The second-round questionnaire wasused to determine the desirability, feasibility and importance ofeach of the factors under review. The study identified key change
information to be communicated, the method of communication,and frequency of communication, preferred communicator and thenecessity of the organization to understand the change
information.
Human Errors Reliability Analysis in Coal Mine Accidents
Based on Gray Relational Theory
Jianyi Lan1, Meiying Qiao1
1
Henan Polytechnic University, China

Human errors which have been affecting safety accidents are oneof the main reasons in coal mine. So these Accidents can beprevented and reduced through analyzing human errors affecting
factors. This paper has made elaborate analysis of the relative
affecting factors which cause human errors through applying theGray Relational Theory in coal mine accidents. Based upon thisspecific analysis, by comparing statistics data of affecting factors tomine accidents, a relevant reliability analysis method has been
come up with in this paper. Based on the analyzing results, the key
factors, which affect human errors, are ordered according to theirimportance. Finally, the corresponding method is put forwards toreduce human errors in coal mine accidents according to theanalyzing result.

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A Study on Human Redundancy in Execution of Computerized
Emergency Operating Procedures
Xiaolu Dong1, Zhizhong Li1
1
Tsinghua University, China

This study examined the effects of human redundancy
arrangements on performance in the execution of computerized
emergency operating procedures. It was found that there wassignificant difference in completion time but no significant
differences in error rate or subjective workload between
single-operator and two-operator setups. For the two-operator
setup, an unbalanced workload was found. Team completion time
was significantly lower than the higher and averaged completion
times of individual operators, but was not significantly different
from the lower completion time of individual operators. The
higher error rate of individual operators was significantly higher
than the team error rate, but there were no significant differences
between the team error rate and the lower and averaged error rates
of individual operators. These findings indicate the complex
nature of human redundancy when using digital systems.
A Study of Occupational Stress of Aviation Ground Crews
Kuo-Shun Sun1, Yu-Shan Lee1
1
Kainan University, Taiwan

The aim of this study was to explore the relationship between
various sources of occupational stress and work performance inaviation ground crews. It was also to explore the connection
among occupational stress, coping strategies and work
performance by using the Structural Equation Modeling (SEM).
The result of analysis exhibited that occupational stress had anegative impact on work performance and the coping strategies
were the mediator survives between occupational stress and work
performance.
An Operational Framework in Forecasting Radical Innovation:
The Case of the CO2-free Automobile
Jean-Jacques Chanaron1
1
Grenoble Ecole de Management, FranceThis article deals with a framework of the process of innovation
which is designed to help building up forecasting scenarios forbreakthrough innovations in mature industries. It is based on
previous research on innovation and on an up-to-date literature
review of key success factors of innovation. It is applied to thevarious technological powertrain options faced by the automotive
industry due to need of reducing fossil fuel consumption and CO2
emissions. It gives an appraisal of the various economic,
technological, social and political factors which could influence aparticular technology allowing a tentative scenario for the next 30
years.

Session
Date
Time
Room
Chairs

Quality Control & Management (2)9/12/2010
13:30 - 15:00
NAPLES 2601
Philippe Castagliola; Fugee Tsung

An Integrated T and TCUSUM Scheme
Liang Qu1
1
Nanyang Technological University, Singapore

This article proposes an integrated scheme (T&TCUSUM chart)
which combines a Shewhart T chart and a TCUSUM chart (aCUSUM-type T chart) to monitor the time interval T between theoccurrences of an event or the time between events (TBE). The
performance studies show that the T&TCUSUM chart caneffectively improve the overall performance over the entire T shift
range. On average, it is more effective than the T chart by 26.66%
and the TCUSUM chart by 14.12%. Moreover, the T&TCUSUM
chart performs more uniformly than other charts for detecting both
small and large T shifts, because it has the strength of both the Tchart (more sensitive to large shifts) and the TCUSUM chart (moresensitive to small shifts). The implementation of the new chart isalmost as easy as the operation of a TCUSUM chart.
A Single Chart for Monitoring Frequency and Magnitude of
EventsZhang Wu1, Qu Liang1
1
Nanyang Technological University, Singapore

This article presents a single Statistical Process Control (SPC) chart
for simultaneously monitoring the time interval T and magnitude
X of an event. The new chart is called a G chart as it deals with asynthetic statistic G. The G chart makes use of the information
about the event frequency as well as the information about theevent magnitude. Moreover, its detection power can be allocated in
an optimal manner between that against T shifts and that against X
shifts, and between that against small shifts and that against large
shifts. As a result, the G chart is more effective than all other charts
currently available in the literature for detecting the out-of-control
status of an event. Moreover, comparing with other charts, the Gchart performs more uniformly for detecting process shifts ofdifferent types and sizes.
Preliminary Results Concerning the VSS Xbar Chart with
Unknow In-Control Parameters

Philippe Castagliola1, Ying Zhang2, Antonio Costa3, Petros Maravelakis4
1
IRCCyN UMR CNRS 6597 & Universite de Nantes, France
2
IRCCyN UMR CNRS 6597 & Ecole Centrale de Nantes, France
3
Salo Paulo State University, Brazil
4
University of the Aegean, Greece

The VSS Xbar chart is known to perform better than the traditional
Xbar control chart in detecting small to moderate mean shifts in theprocess. Many researchers have used this chart in order to detect a
process mean shift under the assumption of known parameters.
However, in practice, the process parameters are rarely known andare usually estimated from an in-control Phase I data set. In thispaper, we evaluate the (run length) performances of the VSS Xbar
control chart when the process parameters are estimated and wecompare them in the case where the process parameters are
assumed known. We draw the conclusion that these performances
are quite different when the shift and the number of samples usedduring the phase I are small.

Linear Profile Monitoring Using an Adaptive EWMA Control
Chart
Giovanna Capizzi1, Guido Masarotto1
1
University of Padua, Italy

A novel adaptive Exponentially Weighted Moving Average scheme,
called AEWMA3, is suggested for monitoring the stability of alinear relationship between a quality characteristic and an
explanatory variable. Comparisons with an analogous
non-adaptive scheme points to a better overall performance of thesuggested scheme in a variety of out-of-control scenarios. In
addition, since a single AEWMA3 chart is able to quickly detectboth small and large shifts, its practical design is simpler than thatof other competing control charts.
Monitoring a Process with Mixed-Type and High-Dimensional
Data
Xianghui Ning1, Fugee Tsung1
1
Hong Kong University of Science and Technology, Hong Kong

Statistical process control (SPC) techniques that originated in
manufacturing have also been applied to monitoring the quality ofvarious service processes, which can be characterized by one orseveral variables. Conventional multivariate SPC methods usually
have an underlying distribution, generally multivariate normal,
assumed for the process variables. However, in many cases, thedistribution assumption cannot be easily made, or the assumption
made is not appropriate. For instance, the quality characteristics ofa service process may include both continuous and categoricalvariables (i.e., mixed-type variables). In this case there will be no
specific distribution to assume. Direct application of conventional
SPC techniques to monitor such mixed-type variables may cause
increased false alarm rates and misleading conclusions. To further
complicate the case, the number of variables is usually large (i.e.
high-dimensional variables). This paper enumerates the difficulties
in monitoring a process with mixed-type and high-dimensional
data and discusses potential solutions.
EWMA Control Chart that Minimizes the Numbers of Defectives
for Out-of-Control Cases
Mohammad Shamsuzzaman1, Zhang Wu2
1
University of Sharjah, United Arab Emirates
2
Nanyang Technological University, Singapore

This article develops an algorithm for the optimization design ofExponentially Weighted Moving Average (EWMA) control charts.
The design algorithm adjusts the sample size, sampling intervaland control limits of the chart in an optimal manner in order tominimize the mean number of defective units (denoted as MD)
produced per out-of-control case. The optimal chart is therefore
named as the MD-EWMA chart. The probability distribution of therandom process shifts (e.g. mean shift) is taken into account and ismodeled by a Rayleigh distribution based on the sample dataacquired during the operation of the control chart. Unlike theeconomic control chart designs, the design of the MD-EWMA chart
only requires limited number of specifications that can be easily
determined. The design of the proposed MD-EWMA chart is
illustrated through an example.

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Session
Date
Time
Room
Chairs

Quality Control & Management (3)9/12/2010
15:30 - 17:15
NAPLES 2601
Kaibo Wang; Yaoguang Hu

Soft Sensor Modeling for Feed Liquid Viscosity Control for PVC
Gloves Based on BP Neural Network
Yaoguang Hu1, Cheng Xi1, Xiangmin Cui1, Ruijun Zhang2, Yan Yan1
1
Beijing Institute of Technology, China
2
Renmin University, China

In the plastics Industry, feed liquid viscosity is always a vital input
factor to the quality of final products, but difficult to realize realtime measurement. Thus, in this paper, a data-driven soft sensor
was developed to help control the viscosities of feed liquid in the
production of PVC gloves which contribute a lot to the final quality
and rating of gloves on the basis of literature review and study. BP
neural network was selected to build the MIMO control model
after discussing the methods in data pre-processing. The resultshows that the inverse quality model has good performance indeciding the input values of feed liquid viscosity.
A Spatial Multivariate Process Capability Index
Shaoxi Wang1, Arthur Yeh2
1
Northwestern Polytechnical University, China
2
Bowling Green State University, United States

Process capability ultimately decides process quality level. Basedon analyzing process capability index (PCI), Process capability
may be effectively assured. For the multivariate manufacturing
processes, tremendous difficulties are often encountered when one
attempts to measure the process capability by directly extending
the univariate approach. After analyzing the multivariate Cpm
method (Chan et al. 1991), the paper presents a spatial multivariate
PCI method, which can solve multivariate off-centered case andmay provide references for assuring and improving process
quality level while achieving overall evaluation of process quality.
At last, examples for calculating multivariate PCI are given and theexperimental results show that the systematic method presented iseffective and actual.
Statistical Process Adjustment of Multivariate Processes with
Minimum Control Efforts
Li Wang1, Kaibo Wang2
1
University of South California, United States
2
Tsinghua University, China

In controlling a multiple-input-multiple-output (MIMO) process,usually all control variables have to be adjusted at each step, which
may incur high adjustment cost. This paper proposes a Lasso
adjustment algorithm, which minimizes the number of variables tobe adjusted at each step. Simulation results show that the proposed
algorithm can maintain acceptable output deviations while reduce
the number of variables need to be adjusted significant.
Competitive Analysis in Digital Electronics Industry of Pakistan
Kinza Nasrullah1, Hira Ali Jamal1, Muhammad Asim2
1
National University of Sciences and Technology, Pakistan
2
Center for Advance Studies in Engineering, Pakistan

In today's world of increasing competition, it is very necessary tokeep up with the pace of ever changing customer demands. A
method to measure the competitiveness of a firm in the industry isthrough the analysis of competitive framework. This paper
measures the competitiveness of Palmchip Corporation, which isoperating in Digital Electronics Industry with its competitor
Nextek. In order to perform the competitive analysis data wascollected through survey by making questionnaire. It was foundthat Palmchip Corporation has an edge over its competitor Nextek
in the Digital Electronics Industry. This paper can help the
Palmchip Corporation in further looking at their high points andlow points with respect to its competitor Nextek and hence further
cement its chances of increasing its market share in the industry.

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Using Forecasting Technique in Quality Function Deployment to
Facilitate Dynamic Customer Needs
Liang-Tsung Lin1, Ching-Pou Chang1, Kuen-Ho Chiang11
Hsiuping Institute of Technology, Taiwan

A proposed method of using forecasting technique in quality
function deployment to facilitate dynamic customer needs basedon historical, present and predicted data sets is presented. With theuse of the proposed method, the importance of each customer
needs is monitored and analyzed and the importance of each
design requirements is evaluated in order to fulfill dynamic andfuture customer needs. Doing so would allow companies to plancustomer needs in advance, fulfill their needs, and , mostimportantly, significantly improve customer satisfaction andenhance their competitiveness in the marketplace
Quality Computation Model of Complex Assembling Process
Using Multivariate Process Capability Index
Yihai He1, Wenbing Chang1, Wei Ping Mu1
1
Beijing University of Aeronautics and Astronautics, China

Assembling is the last phase of producing, which is influential toproduct quality directly, and estimating the quality of total
assembling process is the prerequisite to identify the latentproblems and implement quality improvement. In this paper, aquality assurance model of assembling is put forward firstly, thenbased on the relationship of machining and assembling, themultivariate process capability index mainly used in machining
process is applied to measure the quality of assembling process.
Furthermore, a method of assembling quality computation forcomplex products based on process capability index is proposed.
Finally, an application example of a mechanical product isprovided to show the correctness and validity of the method.
SWOT Analysis of Mobile Telecommunications Sector of
Pakistan
Muhammad Bilal Khan1, Muhammad Asim2
1
National University of Sciences and Technology, Pakistan
2
Center for Advance Studies in Engineering, Pakistan

This paper aims to perform SWOT analysis of the mobile telecom
sector in Pakistan. Detailed study has been carried out by
conducting surveys with subjects having different backgrounds
and belonging to different professions, regions and age groups. A
comparative study of the mobile networks presently operating inPakistan has been performed. It is found that telecom sector has
significant potential to further expand and establish itself in far
flung regions of Pakistan. With the emergence of new technologies
worldwide, telecom industry in Pakistan has a lot to benefit fromand offer high quality services to mobile phone users. By adopting
the proposed strategies, telecom industry can significantly increase
its market share and establish itself as the primary means ofcommunication.

Session
Date
Time
Room
ChairsSafety, Security & Risk Management (1)9/12/2010
11:00 - 12:30
SICILY 2502
Sou-Sen Leu; Takashi Hasuike

The Role of Safety Leadership in Improving Organization
Minna Paivinen1
1
Safety Technology Authority, Finland

The promotion of safety is often carried out from a safety
management perspective which plays an important role in safety
work. Moreover, safety leadership is increasingly being seen as
important in the development of safety culture, climate andperformance and the attainment of overall improvement in thefield. The goal of this study is to create innovative research
approaches into safety leadership. Thus a network has been set up
among three Finnish universities: the University of Tampere,
University of JyvĂ¤skylĂ¤ and Tampere University of Technology.
The main purpose of this interdisciplinary network, named
LEADNet, is to promote research into the various aspects ofleadership and integrate the findings into the field of knowledge.

Public Debt of Medical Security System: Is China Following in
America's Footsteps?
Shibin Song1, Lizhi Feng1, Xiaojun Xue1, Mingmei Huang1
1
Sun Yat-sen University, China

China's social medical security system includes medical insurance
for urban workers, medical insurance for urban residents, newtype of rural cooperative medical care and medical assistance. To
solve the problem of inadequate and unaffordable medical services,
the government has provided a large number of public financial
subsidies for this system. But similar to America, China's
population aging and rapidly rising medical costs will cause agrowing fiscal subsidy burden. In this paper, by means of
insurance actuarial methods, we predict the medical insurance
system's long-term balance of payments, medical assistance cost
and their public debt risk. Results show that China is following in
America's footsteps: A great gap between revenue and expenditure
will arise under PAYG system, which is beyond government's
financial capability. We should reform its financing model andstrictly control the rising medical costs, so that the medical security
system can possibly achieve sustainability.
Oil Sensitivity and Systematic Risk in China O&G Industry
Stock Indices
Chunhong Li1, Zhongying Qi1, Zhibo Zhang2, Jie Tang1
1
Harbin Institute of Technology, China
2
China Executive Leadership Academy Pudong, China

In order to solve the multi-attribute factors analysis problem ofChina Oil and Gas industry, a multifactor market model is used toestimate its expected stock returns. Results are presented to showthat volatility of exchange rate and crude oil prices have large andsignificant impacts on China oil and gas industry stock returns. In
particular, an increase in the market or oil price factor increases thereturns to China oil and gas stock indices while an increase in
exchange rates or the term premium increases the returns to thestock prices of China oil and gas industry. Furthermore, the oil andgas sector is less risky than the market and its moves are
pro-cyclical. The analysis suggests that China oil and gas industry
stocks may be a good hedge against inflation.

Safety Analysis of the Single-walled Steel Suspension Box
Cofferdam During Construction
Zanyun Xu1, Wei Xu1
1Tongji University, China

The construction of the Steel Suspension Box Cofferdam (SSBC) is
an important procedure for constructing the pile cap. In this paper,a safety analysis is carried out based on the construction ofChongqi Yangtze River bridge primary NO.2 pier SSBC. First, allcalculation construction conditions and the corresponding loads
are clarified. Second, with the use of ANSYS finite element analysis
software, the corresponding finite element model is set up toevaluate its safety during construction. The results show: In theconstruction process, load and boundary conditions are constantly
changing which makes the load transfer path and the mechanicalcharacteristics of the various components also change. The loadtransfer pattern is hanging box- crane lifting point at first. Then it
becomes hanging box - cantilever beam - steel pipe pile, and at lastit changes into a dual transfer pattern of hanging box - cantilever
beam - steel pipe pile and hanging box – sealing bottom concrete steel pipe pile. The sealing concrete at the bottom has a strong
binding effect on SSBC’s displacement condition. And the criticalcondition occurs when pumping out water at high tide level.
Synergic Mode of Grid-based Traffic Risk Control in China's
Coastal Waters
Jinpeng Zhang1, Quangen Fang1, Shenping Hu1
1
Shanghai Maritime University, China

Grid is one of the most important information technologies inrecently years, and its theory has been applied in a variety ofindustries. Based on grid management, the synergic mode has
been established on the three levels (management, operation andsupport) of the maritime administration combined with three
periods (before, in progress and after) of the marine accidents in
Chinaâ€™s coastal waters. Accordingly, some practicablemeasures of the management mode have been put forward, on thebasis of case study of Maritime Safety Administration (MSA)
Fujian, concluding that it is improving emergency handling ability
in Fujian coastal and harbor waters, and accident frequency
reduced from 0.0741% of 2006 to 0.0485% of 2008.
Relative Risk Assessment Methodology in Vessel Traffic at Sea
Shenping Hu1, Quangen Fang1, Jinpeng Zhang1, Yongtao Xi1
1Shanghai Maritime University, China

The Ship Formal Safety Assessment (FSA) is the premier scientificmethod that is currently being used for the analysis of maritime
safety and the recommendations of concerned regulatory policy.
This paper conducts an overview of the FSA methodology andproposes ways to improve it. The applications of both quantitativerisk analysis (QRA) and risk-based decision making techniques
were discussed, and possible pitfalls or other deficiencies are
identified. Then proposals of relative risk assessment methodology
are made to alleviate such deficiencies, with a view to achieve amore transparent and objective approach. The results of this paper
may be useful if a revision of the FSA tools is contemplated along
these discussions.

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Session
Date
Time
Room
ChairsSafety, Security & Risk Management (2)9/12/2010
13:30 - 15:00
SICILY 2502
Shibin Song; I-Tung Yang

HFACS Model Based Data Mining of Human Factors-A Marine
Study
Yongtao Xi1, Weijiong Chen1, Quangen Fang1, Shenping Hu1
1
Shanghai Maritime University, China

It is well known that human error is the key contributor in mostmarine accidents. Nevertheless, human error is not the caurse of
accidents or mishaps in the new view on human errors, it is thedeepertroubleofthe
MMEM(Man-Machine-Environment-Management) system. The key point
for human error analysis is to find out the connection between
human error and the features of system elements, that is thecontexts of human error (Operating environment, Organizationinfluence, etc). For this reason, this paper shows an approach formining the human factors data which influence the accurrence ofhuman error. This approach bases on the data collected on HFACS(Human Factor Analysis and Classification System) Model. It canbe used for analysis of human factors and risk management ofmarine industry.
Applied Real-time Bayesian Analysis in Forecasting Tunnel
Geological Conditions
Sou-Sen Leu1, Tri Joko1, Abraham Sutanto1
1
National Taiwan University of Science and Technology, Taiwan

Unforeseen ground conditions not only affects our schedule andimposes large extra costs but may also introduce additional
hazards in the tunnel project. Crucial pre-construction phasedecisions and construction phase decision are strongly influenced
by expected ground condition. A geological prediction model toquantify the risk of tunneling and predict the ground condition for
un-excavated part of the tunnel using real time Bayesian analysis is
proposed. One of the real time Bayesian analysis simulation
techniques, Particle Filter Algorithm (PF), is used to simulate thegeological prediction profile for un-excavated tunnel parts. In thispaper a tunnel drainage project at Zhonghe area, Taipei county,
Taiwan is used as a case study of the proposed model and avalidation purpose. Compared with Iterative Bayesian Updating
Approach (IBUA) proposed by Ioannou, the model that we
proposed using the simulation technique gives a better prediction
result. The results prove that the geological prediction model
proposed is useful for decision making.
Design of the Late-model Key Exchange Algorithm Based on the
Polymorphic Cipher
Yifeng Yin1, Yong Gan1, Hongyan Liu2, Yupu Hu3
1
Zhengzhou University of Light Industry, China
2
NO.202 Institute of China Ordnance Industry, China
3
Xidian University, China

Diffie-Hellman key exchange algorithm, which is used in regular
scenes base on the discrete logarithm problem, demands thattypically two communication parties should struck up a lively
conversation leading to a long-term dependable fellowship. A highefficiency the polymorphic key exchange algorithm is proposedthat is based on the polymorphic key exchange protocol. The
identity information of two parties can be appended to theagreement. Both communication parties use their PRNGs to finish
the polymorphic virtual S-box together. The security of the PRNG
was analyzed by the Strict Avalanche Criterion and someexperimental results. It was proposed that the polymorphic key
exchange algorithm can become a broad agreement in irregular
scenes.

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Workplace Accidents in Finnish Manufacturing Maintenance
Janne Haatainen1
1
Tampere University of Techology, Finland

The aim of this paper is to present information about
manufacturing maintenance related accidents and accident
prevention. Accident data has been gathered using two Finnish
national accident databases. Results of the study show, that during
the years 2004-2007 7303 workplace accidents were registered andduring the years 1995-2009 there were 23 fatal accidents in
manufacturing maintenance work. After taking into account thestatistical issues introduced in the paper, it can be estimated thatover 2000 workplace accidents occur each year in manufacturing
maintenance. Significant numbers of accidents were due toworkers losing control of a machine/object/hand-held tool/meansof transport, stepping on a sharp object or deviation by
overflow/overturn/leak/flow/vaporization/emission. In addition
accidents involving workers slipping, stumbling and falling werecommon, especially when looking at severe accident cases.
Orientation and Guidance of Temporary Agency Workers
Toni Hyytinen1
1
Tampere University of Technology, Finland

Temporary agency work has grown rapidly in Europe in recent
years. Good orientation and guidance are necessary for employees
occupational safety and health. Specifically, orientation andguidance are important for agency workers who operate inchanging environments and work tasks. The aim of this study was
to collect information about the orientation and guidance ofFinnish agency workers. The information was collected with aquestionnaire devised for temporary agency workers. The study
results show that the guidance of agency work user companies isoften insufficient, specifically in matters concerning workers
occupational health and safety. In the future, the reasons for thelack of guidance should be researched.
A Virtualization Approach for Distributed Resources Security in
Network Manufacturing
Lei Ren1, Yabin Zhang1, Yongliang Luo2, Lin Zhang1
1
Beijing University of Aeronautics and Astronautics, China
2
Beihang University, China

Network manufacturing technology has proven an effective
approach to achieving integration of the distributed
manufacturing resources over Internet. The nature of highinteroperability of network manufacturing results in a variety of
security threats due to the ultimate dependence upon operating
system. Virtualization technology, allowing a monitor and control
layer running between operating system and underlying
infrastructure, could provide a promising approach to the security
issues. This paper presents a secure VM-based architecture
designed to enhance distributed resources security in network
manufacturing. The paper also gives an application example with
Xen. The application example shows that the virtualization
approach can provide an effective support for intrusion detection,
malicious software defending, user identification and dataprotection by the way of reliable separation of operating systemfrom physical resources through VMM hypervisors, and thusachieve efficient access control of distributed resources in network
manufacturing.

Session
Date
Time
Room
ChairsSafety, Security & Risk Management (3)9/12/2010
15:30 - 17:15
SICILY 2502
Victor Esteves; Yifeng Yin

Safety Management Problems Encountered by Industrial Service
Providers
Sanna Nenonen1
1
Tampere University of Technology, Finland

Companies operating in the industrial sector are increasingly
outsource some of their operations to be carried out by provider
companies. Outsourcing entails external workforce to workplaces
and forms new kinds of work communities with complex relations
between different performers. New operating environment
introduces safety problems which are particularly difficult tomanage for providers commonly operating with several customers
in varying worksites. This paper discusses the results of a literature
review focusing on safety management problems encountered byindustrial service providers. The factors most commonly
mentioned to be problems for service providers relate to safety
ignoring tendering system, divergences in customers andworksites, time pressures, poor resources available for
implementation of safety measures, unclear responsibilities,
dangerous work tasks, inadequate communication andinsufficiencies in hazard identification. Even though several
problems have been identified the practical means presented to
improve safety by the provider companies are still exiguous.
Necessary Insurance in the Service Business of the
Manufacturing Industry
Juha Vasara1
1
Tampere University of Technology, Finland

Responsibility issues and responsibility distribution are creating
confusion for customer and service provider companies. The
companies need to cover damage caused to other parties, but thecompanies also want to avoid overlapping insurance. This paper
presents the results of interviews concerning the most important
insurance for companies providing industrial services for the
manufacturing industry, the kind of co-operation concerning
insurance between a service provider and a customer and what
type of special requirements for working abroad requires
insurance. As a result, the most types of important insurance areliability and property insurance. When operating abroad, e.g.,travel, leisure time and extended accident insurance are important
as well. Although there is a need for tighter co-operation related toinsurance between the service provider and the customer, it may
be considered as a principle that both parties should take out
insurance for their own operations.
The Exploration of Instrument of Users’ Privacy Concerns ofSocial Network Service
Shilei Zheng1, Kun Shi1, Zhu Zeng1, Qiang Lu1
1
Shenzhen Graduate School, Harbin Institute of Technology, China

With rapid spread of acceptance and usage of Social Network
Service (SNS, e.g., Facebook, Renren, Myspace), concerns about
online information privacy have arisen. This paper explores the
instruments of users privacy concerns in the context of SNS. First,
based on the relevant literature review, comparisons among fourscales are discussed and necessities of new items are proposed.
Then a pilot test with an open question is carried out collecting 28
samples through interviews. Several reliable and specific new
items are added through qualitative content coding. And this isfollowed by an integrated questionnaire survey. Analyses of 115
respondents' data indicate that SNS user's concerns about privacy
are covering a wider range than previous scales. Quantitative
result illustrates the new items are acceptable. Finally requirement
for further factor analysis is suggested.

A Reformed Lattice Gas Model and Its Application in the
Simulation of Evacuation in Hospital Fire
Weili Zhang1, Zhengyu Yao1
1
Southeast University, China

In order to provide the rescuing decision-maker with the optimal
evacuation plan when hospital fire happens, so as to improve therescuing capability, the evacuation process is divided into two
sections which include rescue and evacuation. Taking factors of fire
to in-patient department into account, combine the swarm
behavior in fish school algorithm with Agent-based technology, areformed lattice gas model is established. Ultimately with the helpof simulation software Anylogic, on the basis of reformed latticegas model the paper simulates the pedestrian evacuation and chasedown a plan to solve during rescue. The simulation result
indicated that the reformed lattice gas model can simulate thescene of evacuation in hospital fire realistically.
Carbon Capture and Geological Storage - Technologies, Risk
Analysis and Prospects for Use in Brazil
Claudia Morgado1, Victor Esteves11Federal University of Rio de Janeiro, Brazil

The burning of fossil fuels for electricity generation is now themain source of emissions of GreenHouse Gases (GHG). Moreover,during the extraction of oil and gas, an amount of CO2 is carried tothe surface, and released into the atmosphere. As the concentrationof CO2 in the pre-salt deposits is higher than in wells currently
operated, emissions growth will occur not only by the expected
growth in production volume. An alternative to prevent these
releases is to reinject the carbon in the reservoir from which it was
extracted or in other geological formations nearby. All stages ofCarbon Capture and Geological Storage were analyzed fromseparation up to monitoring. The assessment of associated risks, aswell as aspects of policy, regulation and prospects for use in Brazil
was analyzed.
A Time-dependent Flow Model for Hazmat Transportation
Routing
Hongmei Jia1, Lin Zhang1, Manzhen Duan1, Gao Fu1
1
Hebei Polytechnic University, China

A lot of researches have been achieved on Hazmat transportation
routing problem in order to take into both transportation
out-of-pocket expenses and risk-related costs which are viewed asstatic. In this work, we consider the following hazmat
transportation problem: a given set of hazmat shipments has to be
shipped over a road transportation network in order to transport agiven amount of hazardous materials from specific origin points tospecific destination points and guarantee the minimum distance
between Hazmat shipments is satisfied at any time and provide atime-dependent programming formulation represents thedecisions for hazmat transportation routing problem. Then we
transform the problem into a set of time-dependent shortest path
problems for each truck that are relatively easy to solve whenisolated. We exploit this characteristic to propose a method andheuristic that solves the shortest path problems iteratively on
modified/restricted graphs. The proposed time-dependent modeland heuristic algorithm are experimented on real scenarios of aregional network.

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Session
Date
Time
Room
Chairs

Project Management (2)9/12/2010
11:00 - 12:30
SICILY 2402
Christina Chin May May; Hossam Ismail

An Iterative Backward/Forward Technique for the Scheduling ofResource-Constrained Projects within Microsoft Project
Norbert Trautmann1, Philipp Baumann1
1
University of Bern, Switzerland

Microsoft Project is one of the most-widely used software packages
forprojectmanagement.
For
theschedulingofresource-constrained projects, the package applies a priority-based
procedure using a specific schedule-generation scheme. This
procedure performs relatively poor when compared against othersoftwarepackagesorstate-of-the-art
methodsforresource-constrained project scheduling. In this paper, we present
a scheduling heuristic for Microsoft Project which generates some
initial schedules by sampling various priority rules, and improves
each of these schedules by iterative backward-forward passes. In
order to account for all types of temporal or calendar constraints
available in Microsoft Project, the heuristic employs only Microsoft
Project's specific schedule-generation scheme. Computational
results for a set of 1320 projects from the standard test set PSPLIB
indicatethatthepresented
heuristic
renderstheresource-allocation capabilities of Microsoft Project comparable tothose of the best-performing software packages.
Selecting Subcontractors in Projects Using a Multicriteria Group
Decision Model

Luciana Alencar1, Adiel Almeida1
1Federal University of Pernambuco, Brazil

Researchers and practitioners have taken an increasing interest in
analyzing outsourcing, particularly with regard to selecting
contracts. In several situations, there is more than one person who
is in charge of decision processes related to outsourcing and thepreferences of all those involved must be considered in an
appropriate way. In this way, it is presented a model for selecting
subcontractors with the use of multi-criteria group decision. An
application in the context of construction companies illustrates theuse of the model. In order to improve the performance and qualityof construction projects, it is essential for contractors to selectsubcontractor companies in a structured way.
A IDEF0-Based Methodology for Project Reliability Assessment
Hossam Ismail1, Mustafa Rashid1, Ping Zhu1, Jenny Poolton1
1
University of Liverpool, United Kingdom

This paper builds on an approach developed by the authors forextending IDEF0 modelling to act as a process reliability
assessment tool. By quantifying the quality of the activity inputs
the approach is able to assess the quality of activity outputs. The
paper addresses how this approach is applied at a higher level torepresent existing project management frameworks to improvetheir applicability. Two of these are PRINCE2 which is widelyadopted in the UK and the second is PEMBOK widely used in theUSA. In this paper PRINCE2 is dealt with in detail while a
recommendation for applying it to PEMBOOK is presented.

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Understanding the Requirements for Project Management
Maturity Models: Awareness of the ICT Industry in Malaysia
Roslan Jamaluddin1, Christina May May Chin1, Chan Wai Lee1
1
University of Nottingham, Malaysia

Surveys reveal that the higher the organization project
management maturity level is, the greater it enhances project
performance. However it is vital to first understand therequirements of such a maturity model in the context of the target
industry or sector. In this study, we aim to assess the current statusof project management maturity model (PMMM) adoption in
Malaysia’s ICT industry as an initiative to conceptualize a model
for use in the sector. An online survey was carried out toinvestigate the level of PMMM awareness, its extent of adoption orpractices and its prerequisite requirements for use in the ICT
industry. Based on our findings, a preliminary framework of the
PMMM is proposed in our next phase of study.
Project Data Warehouse Management with Multivariate
Analysis
Jui-Sheng Chou1, Hsien-Cheng Tseng2
1
National Taiwan University of Science and Technology, Taiwan
2
Nissan Taiwan, Taiwan

Numerous studies have generated cost estimating relationships(CERs) for transportation projects via data analysis. Some studies
collected data from databases, while others sourced data fromconventional paper-based formats. When cost data were not in aconsistent format, many studies failed to discuss the streamliningof pattern recognition. This work adopts a standard procedure for
identifying CERs for transportation projects. A pavement
maintenance and rehabilitation project type was selected as a casestudy for extracting data and concealed prediction rules. Linear
and log-linear statistical approaches were employed to create
optimal models. The resulting optimum estimation models via
knowledge discovery in databases process can be then integrated
into an expert system to facilitate information management andgenerate preliminary budgets for transportation agencies.
A Support Tool for Assessing the Impact of Design Changes
During Built Environment Projects
Helen Hindmarch1, Andrew Gale1, Robert Harrison2
1
University of Manchester, United Kingdom
2Arup, United Kingdom

Design changes, during the detailed design phase of built
environment projects, can have a detrimental effect on a project's
duration and/or cost and as such need to be managed effectively.
Accurate impact assessments are required to make informed
decisions of whether or not design changes should be
implemented. However, change management best practices givelittle guidance about how to carry out impact assessments.
Interviews within the case study company (Arup) identified atendency to rely heavily on the personal experience of engineeringand project management practitioners when making impact
assessments. This research is concerned with mitigating the risks
associated with practitioners making judgments disproportionate
to the true impact of a design change.
A software support tool facilitating practitioners in making better
informed impact assessments is proposed as a solution. The
support tool incorporates design management and planningtechniques and has been refined through a process of workshopswith industry practitioners.

Session
Date
Time
Room
ChairsSystems Modeling & Simulation (1)9/12/2010
13:30 - 15:00
SICILY 2402
Szu Hui Ng; Young Chel Kwun

Interpreting the Out of Control Signals of the Generalized
Variace |S| Control Chart
Gerardo Avendano1, Francisco Aparisi2, Jose Sanz2
1
EAN University, Colombia
2
Polytechnic University of Valencia, Spain

Multivariate quality control charts have some advantages formonitoring more than one variable. Nevertheless, there are somedisadvantages when multivariate schemes are employed. The main
problem is how to interpret the out-of-control signal. For example,
in the case of control charts designed to monitor the mean vector,
the chart signals show that there is a shift in the vector, but no
indication is given about the variables that have shifted.
Generalized Variance |S| quality control chart is a very powerful
way to detect small shifts in the mean vector. Unfortunately, there
are no previous works about the interpretation of theout-of-control signal of this chart. In this paper neural networks areused to interpret the out-of-control signal of the Generalized
Variance |S| Chart. The utilization of this neural network in theindustry is very easy, thanks to the developed software.
Effect of Confidence Interval on Bottleneck Identification via
Simulation

Chompoonoot Kasemset1, Voratas Kachitvichyanukul2
1
Chiang Mai University, Thailand
2
Asian Institute of Technology, Thailand

This paper presents the application of simulation-based procedure
to identify bottleneck in a job-shop environment. Ten jobs ten
machines job-shop problem (10x10 JSP) is used to test thesimulation-based procedure for identifying the system bottleneck.
The result from the case shows that the choice of confidence
interval level (CL) used in throughput mean comparison has effecton the bottleneck selection. Two scenarios are presented with two
different CL of throughput mean, 75% CL and 90% CL. The result
from the experiment shows that when % CL is increased, thejudgment of bottleneck identification can be changed. Thus, it isnecessary to use appropriate number of replications to match withthe required %CL used in the simulation. In general, more
replications are necessary when higher percentage of confidence
interval level is required.
Performance Evaluation of Adaptive Cellular Manufacturing
System using Simulation
Jibi Job1, Madhusudanan Pillai2
1
Federal Institute of Science and Technology, India
2
National Institiute of Technology Calicut, India

In mid-volume, mid-variety production cellular manufacturingsystems have many advantages compared to systems using
process layout. But their performance superiority is found todiminish when the demand becomes unstable. Adaptive cellular
systems are designed, specially for dynamic demands. Here, theperformance of an adaptive cellular system is compared to that of asystem using process layout, using simulation, when they executeproduction in a multi-period dynamic demand environment. It isfound that the adaptive design, perform comparatively better thanprocess layout in terms of reduced work-in-process inventory andmanufacturing lead time. The managing of semi-finished parts at
the end of a period, and the effort of relocation of machines after
every period are the disadvantages of adaptive cellular systems.

Response-based Interactive Motion Generation

Xuelin Huang1, Xiao Song1, Guanghong Gong1, Dongming Chen1, Jiajia Li1
1
Beihang University, China

We demonstrate a response-based motion generation systemcapable of naturally response to the external disturbance while
tracking a reference motion. Our approach associates thedata-driven motion synthesis technique with the response
simulation result. For a rapid approximation of the character
response, we introduce both the simplified joint model andskeleton model for simulation, and adopt forward dynamics toestimate the angle disturbances. We design a corresponding
control mechanism for our skeleton model to balance against
disturbance, using the adjustments of key joints’ movement.
According to the response simulation, a multi-resolution
maximum a posteriori estimation is proposed to search for thematched parameters and principal component analysis based on
our response motion database is used for the final motion
synthesis. Results for following different reference motions inpresence of a variety of disturbances are demonstrated. Our
approach shows its advantage in rapid generation of interactive
and natural-looking motion for character animation.
Application of Stochastic Approximation Methods for Stochastic
Computer Models Calibration
Jun Yuan1, Szu Hui Ng1, Kwok-Leung Tsui2
1
National University of Singapore, Singapore
2
Georgia Institute of Technology, United States

Computer models are widely used to simulate real processes.
Within the computer model, there always exist some parameterswhich are unobservable in the real process but need to be specified
in the model. The procedure to adjust these unknown parametersin order to fit the model to observed data and improve predictive
capability is known as calibration. In this paper, we propose aneffective and efficient algorithm based on the stochastic
approximation approach for stochastic computer model calibration.
We first demonstrate the feasibility of applying stochastic
approximation to calibration and apply it to two stochastic
simulation models. We compare our proposed SA approach toanother direct calibration search method, the genetic algorithm.
The results indicate that our proposed SA approach performs
equally as well in terms of accuracy and significantly better interms of computational search time.
Designing a Robust and Cost-Effective Screening Strategy for
Diabetic Retinopathy Using Simulation Coupled with Design ofExperiments
Irene Vidyanti1, Shinyi Wu1, Carl Kesselman1
1
University of Southern California, United States

This paper demonstrates the use of Design of Experiments (DoE)
coupled with simulation to design a robust and cost-effective
intervention in a systematic way. DoE provides a simple andintuitive method to find the optimum settings of the input factors
for the most cost-effective intervention. Moreover, DoE addresses
the critique that health care simulations unrealistically assumeideal conditions in simulating the impact of a particularintervention by utilizing robust parameter design to find settings
that make the intervention robust to variations, such as uncertainty
in some input factors. Both the determination of the optimum
input factor settings for the intervention as well as robust
parameter design for interventions would be demonstrated here,
using the design of Diabetic Retinopathy (DR) screening strategy
as illustration. A Markov simulation with elements of screening
strategy as input factors and cost as the response take the place oftraditional experiments.

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Session
Date
Time
Room
ChairsSystems Modeling & Simulation (2)9/12/2010
15:30 - 17:15
SICILY 2402
Gerardo Avendano; Chuang-Chun Chiou

Existence of Extremal Solutions for Impulsive Delay Fuzzy
Differential Equations in (E_N^n ,d_L )Young Chel Kwun1, Jeong Soon Kim1, Ja Hong Koo1, Jin Han Park2
1
Dong-A University, South Korea
2
Pukyong National University, South Korea

In this paper, we study the existence of extremal solutions forimpulsive delay fuzzy differential equations using monotone
method in n-dimensional fuzzy vector space (E_N^n ,d_L ). This isan extension of the result of R. Rodriguez-Lopez [1] ton-dimensional fuzzy vector space.
Analysis of Check-in Procedure Using Simulation: a Case Study
Maurizio Bevilacqua1, Filippo Emanuele Ciarapica1
1
Università Politecnica delle Marche, Italy

The aim of this work is to use simulation and queueing theory toanalyze the current status of the check-in
process in an airport and identifying ways to improve its
performance. In applications involving stochastic events,
demand cannot be determined explicitly beforehand. For those
applications, computer simulation is often used to
predict resource demands. Queueing results provided a first orderof magnitude and an indication of results that one may expect.
In the case study the simulation allowed the decision-maker todetermine how many check-in counters and whatmanagement strategy should be allocated to each departure flightwhile providing passengers with sufficient quality of service. It
was tested that a dedicated check-in for a specific set of flights
should be preferred over a common check-in option.
Aeroengine Modules Performance Deterioration Modeling andAssessment

Rui Zhu1, Dezhi Wu1, Zhirong Liu1, Xinye Wu1, Yinbiao Guo1
1
Xiamen University, China

For the engine modules performance deterioration and fault
diagnostics, the modules operation contributions to engine
parameters changes are analyzed to find the modules deterioration
impact on parameters shifts to the EPR (Engine Pressure Ratio)
based baselines optimally modeled by Quasi-Newton method. The
modules performance assessment strategies for the engine type inthis study are finally achieved through the WF-EGT,(N1-N2)-P25/P2, P3/P2-EGT linear correlation match and baseline
deviation analysis and applied for verification.
Modified Max-Plus Linear Representation for Inserting Time
Buffers
Shotaro Yoshida1, Hirotaka Takahashi2, Hiroyuki Goto1
1
Nagaoka University of Technology, Japan
2
Yamanashi Eiwa College, JapanThe Max-Plus Linear (MPL) representation is known as a usefulsolution of scheduling problems for a class of discrete event
systems. In such systems, an initial schedule is frequently changed
due to unpredictable disturbances. On the other hand, the Critical
Chain Project Management (CCPM) method is an effective
management tool for protecting projects from delays. In view ofthis, we have proposed a method of applying the concepts in the
CCPM framework to the MPL representation, to control
undesirable state changes. In our previous method, several time
buffers are virtually inserted as new processes to avoid delays.
With this method, however, it is difficult to figure out therelationship between the original structure and the modified one
after the CCPM has been applied. Hence this paper proposes amethod for take into account time buffers without installing new
virtual processes in the MPL-CCPM representation.

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Impact of Bilateral Contracts on the Price Volatility in theElectricity Market
Guanli Wang1, Hui-Chih Hung1
1
National University of Singapore, Singapore

One of the evident consequences of the deregulation in electricity
industry is the volatility of market clearing prices (MCP). In thispaper, we use variance to measure this price volatility and propose
supply function equilibria and Cournot models to characterize theimpact of bilateral contracts on the variance of MCP. As the result,
we show that bilateral contracts reduce the variance of MCP.
Finally, a numerical study based on Singapore electricity market tosupport our models is presented.
Switched Hybrid Speed Control of Elastic Systems with
BacklashMuhammad Burhan Khan1, Fahad Mumtaz Malik1, Khalid Munawar1
1
National University of Science and Technology, Pakistan

Backlash nonlinearity is caused by the gap in the mechanicaltransmission link, and it poses a problem whenever there is a
speed and position mismatch between the driving and driven side.
In this paper, switched hybrid approach has been adopted tomodel and control the systems with backlash nonlinearity. A
switched hybrid system consists of multiple subsystems with aparticular subsystem active at a time, as dictated by a switching
function. A two mass system connected through a mechanicaltransmission link is modeled as switched hybrid system; and, amultiple model adaptive control scheme with fixed models has
been suggested for speed control of the load, taking into accountthe backlash in the system. The advantages of the suggested
technique are shown using simulations. The control strategy does
not require a priori knowledge of size of backlash gap. The
robustness of the suggested technique has also been simulated in
the presence of disturbance torque and uncertain backlash size.
Link-16 Model Architecture for Multiple Nets Simulation in
NS-2
Zhao-Xiong He1, Xing Liu1, Xue-Min Liu1, Jinglun Zhou1
1
National University of Defense Technology, China

In order to study the system performance of tactical data link
under the multiple nets communication mode in practice, based on
NS-2 (Network Simulation version 2), taking Link-16 as an
example, a design of the Link-16 data link with multiple nets
structure model is made. And the data link with multiple nets issimulated. The simulation result is given. And the effect ofmultiple nets to packet transmission delay and network
throughput is analyzed.

Session
Date
Time
Room

Poster Session 2
9/12/2010
All-Day Display
SICILY 2501

Study on Comprehensive Evaluation for Small and Medium
Enterprises in Supply Chain FinanceYing Chen1, Chen Hong1
1
Shanghai University, China

Commercial banks provide financial services to enterprises,
especially to small and medium enterprises (SME) in supply chain,
to decrease transaction costs, to simplify the process of property
shift, to create liquidity and to make settlements. Thus, the banksneed scientific methods to choose proper SME to corporate with.
This article creates a comprehensive evaluation index system fromfive aspects: financial analysis, customer service, internalmanagement, expected development and cooperation. Then, thealgorithm is wavelet network, which is an advanced method andfits for comprehensive evaluation to classify SME into quality
enterprises and non-quality enterprises. This avoids artificial
methods of calculating subjectively uncertainty and poor
convergence, and therefore is more precise than BP nerve network.
Manufacturing Strategies in the Auto Industry in Brazil and
Spain
Jose Salles1, Milton Vieira Jr.1, Rodrigo Vaz1, Rosangela Vanalle1
1
Nove de Julho University, Brazil

The aim of this paper is to identify and to analyze the
manufacturing strategies of two supply chains of the auto industry
and the assemblers' influences on the other participants in eachchain. Two plants of the same assembler, one in Brazil and theother in Spain and their suppliers, were analyzed, using
questionnaires and interviews. It was observed that thecompetitive priorities of the suppliers are strongly conditioned tothe strategy of the assembler, and the ordination of these priorities
in the Brazilian case is different from that in the Spanish case. In
Brazil and Spain the inter-business relationships are suffering atransition from mass production, with conflicting relationships
supplier-automaker, to a relationship of larger cognitive density,
characteristic of the presuppositions of organization of supplies
based on the model flexible production or lean manufacturing.
A Fuzzy Integrated Vendor-Buyer Inventory Policy of
Deteriorating Items Under Credibility Measure
Chien-Chung Lo1
1
National United University, Taiwan

A collaborative ordering policy in a modern supply chain system
not only minimizes the integrated joint cost but also benefits eachchannel member. In the replenishment policy, resource constraint
in each channel member is very common. When customer demandin the supply chain is fuzzy uncertainty, these constraints and costfunctions may be imprecise and vague. In this paper, we consider
fuzzy market demand and develop an integrated vendor-buyer
ordering policy of deteriorating item with fuzzy joint cost andfuzzy vendor's and buyer's average inventory investment
constraints. Under the credibility of the vendor's and buyer's
average inventory investment constraints achieving theirrespective given confidence level, we develop a fuzzy
chance-constrained programming model to find the optimal
collaborative ordering policy that can minimize joint cost at a given
credibility. Fuzzy simulation, associated with differential evolution(DE) algorithm is used to find the optimal decisions. A numericalexample is presented at the end of this paper.
Simulation Study of SCM-Related Factors on Retailer's
Performance Using Structural Equation Model

identify the relationships among the simulation outputs. Based ona structural equation model (SEM), a research framework isdeveloped and tested to provide a rigorous analysis for the casual
links among the SCM-related variables and retailer's performance.
When the ratio of backorder to holding cost is lower than 8, leadtime would appear as the most significant factor influencing total
inventory cost. However, when this ratio is higher than 8, bothbullwhip ratio and lead time appear to be equally importantfactors in improving retailer's performance. Finally, the forecast
accuracy was found to have a positive effect on reducing total
inventory cost.
Implementing a Green Manufacturing System Based on a Novel
Assessment Model
Chang-Lin Yang1, Rong-Hwa Huang1, Min-Sun Wuang1, Yu-Chun Chen1
1
Fu Jen Catholic University, Taiwan

This work describes a novel assessment model that evaluates key
successful factors for implementing a green manufacturing system.
The proposed model has three dimensions, i.e. green design, green
manufacturing process, and green packaging. Ten strategic
subjects and 68 assessment factors are established and revised
based on expert opinions collected via a questionnaire. Based on
the analytical network process (ANP), the weights of factors ineach layer are then calculated and assessment models areconstructed with applicable and valuable references.
An EMQ Model with Time-Varying Demand Over the Product
Life Cycle
Kuei-Chen Chiu1, Chun-Wu Yeh2, Chih-Chiang Fang3
1
Hsing Kuo University of Management, Taiwan
2
Kun Shan University, Taiwan
3
Shu-Te University, Taiwan

The Economic Manufacturing Quantity (EMQ) problems thatappear in the literature assume that the demand rate is a constantand then attempt to find the optimal production cycle. The
assumption may be appropriate for everyday commodities with astable demand rate but it is not suitable for technology or fashion
products because their demand rate is not constant in the productlife cycle. The demand rate for such products life cycle will
gradually increase over time, reach a peak, and then decline.
Therefore, the optimal lengths of each planning production cycle
would be not equal, which means that the traditional EMQ model
is not applicable in such situations. For better cost management, analternative EMQ model is thus proposed in this study. The
proposed model uses the diffusion model proposed by Bass (1969)
to predict product demand rates over product life cycles tominimize the related inventory cost based. In addition, thisresearch also analyzes the effect of different demand characteristics
upon planning product life cycles.
Toward Managing Demand Variability by Neuro-fuzzy
Approach
Wen-Pai Wang1, Chun-Chih Chiu1
1National Chin-Yi University of Technology, Taiwan

Because of globalization, fast changes of technology and short life
cycle of products, enhancing the accuracy of demand forecasts
becomes one of the important issues for managers. The objective of
this paper is to analyze and explore given data of orders using
adaptive neuro-fuzzy inference system (ANFIS) and to draw up,
by ANFIS learning mechanism, the relational rules from historicalorder data, whereby to construct the needed forecasting model,
hoping to make accurate forecasts according to the demandvariability. Afterward the proposed forecasting model is comparedwith the conventional regression analysis and back-propagation
network to verify its feasibility and validity.

Erkan Bayraktar1, Chang-Ching Lin2, Kazim Sari3
1
Bahcesehir University, Turkey
2
Tamkang University, Taiwan
3
Beykent University, Turkey

Reinforcement Learning Based Scheduling in Semiconductor
Final Testing

In this study, a two-level supply chain with linear demand andseasonal swings is simulated under varying operating situations inorder to explore the relationships among bullwhip effect, lead time,
forecast accuracy, seasonality, service levels and retailer's
performance. Next, a series of univariate tests are undertaken to

Semiconductor test scheduling problem is a variation of reentrant
unrelated parallel machine problem considering multiple
resources constraints, intricate {product, tester, kit, component}
eligibility constraints, and sequence-dependant setup times, etc. A
multi-step reinforcement learning (RL) algorithm called

Zhicong Zhang1
1
Dongguan University of Technology, China

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Sarsa(Lambda,k) is proposed and applied to deal with it. Allowing
enabler reconfiguration, the capacity of the test facility is expanded
and scheduling optimization is performed at the component level.
In order to apply Sarsa(Lambda,k), the scheduling problem istransformed into an RL problem by defining state representation,
constructing actions and the reward function. Experiments showthat Sarsa(Lambda,k) outperforms the scheduling method inindustry and validate the effectiveness of Sarsa(Lambda,k) to solve
the scheduling problem.

performance by introducing a mediator of managerial
sensemaking based on a survey of 243 firms in China. The
empirical results indicate that managerial ties with actors in bothmarket and nonmarket environments have the same important
positive impact on firms' performance. Furthermore, two types ofmanagerial ties will help for strengthening their ability ofsensemaking so as to improve firms' performance.

A Hybrid Ant Colony Optimization Method for Scheduling
Batch Processing Machine in the Semiconductor Manufacturing

Guillermo Gutierrez1
1
Instituto Tecnológico de Morelia, Mexico

Chengtao Guo1, Zhibin Jiang1, Hongtao Hu1
1
Shanghai Jiao Tong University, China

This paper proposes a hybrid ACO approach to minimize
weighted tardiness for a batch-processing machine in diffusionarea with incompatible jobs and dynamic arrival time. The method
combines ACO algorithm and NACH (Next Arrival Control
Heuristic) method, and also puts the batching and schedulingprocess together. The proposed method is validated and verified
by extensive simulation experiments. The simulation results showthat the proposed method is superior to the MCR (minimum costrate) rule with smaller TWT.
Agent-Based Scheduling with a Learning Effect Model
C.Y. Lam1, W.H. Ip1, C.H. Wu1, S.L. Chan1
1
The Hong Kong Polytechnic University, Hong Kong

The learning effect from repeated processing of similar operations
or jobs can greatly increase the processing efficiency as knowledge
or experiences are gained from the processes of operations or jobs.
In this paper, the scheduling problem is modeled and solved byusing another domain perspective of the integrated agent-based
approach with learning effect. In this approach, an agent-basedscheduling environment with a learning effect scheduling agent is
proposed. The modeling and development of the proposed
agent-based scheduling environment and its learning effectscheduling agent are discussed. Learning effect concepts areapplied to the environment and its agents, such that the feature oflearning effect is included in the model. Throughout theautonomous computation nature of the learning effect schedulingagent in the agent-based scheduling environment, a feasible
optimal schedule can be generated according to its algorithms andlogical functions so as to minimize the total resource consumption
with makespan constraint in the scheduling problem.
New High Performing Hybrid Particle Swarm Optimization for
Permutation Flow Shop Scheduling Problem with Minimizationof Makespan

GenCos Decision-Making Constrained by Operational and
Financial Requirements

In the new power business, the goal of electric generationcompanies is to commit their services at profit. The committed
services will determine the future cash flows and consequently
financial performance. However, purely generation assets' cash
flows are path-dependent, since the path dependency relies on
operational generating units' constraints. This paper focuses on the
GenCos' future cash revenue flows required to fulfill total costs
and financial requirements. For simplicity's sake, the future cash
flows are dependent on a single commodity, electric energy.
The Urban Bus Supplier Selection Aided by AHP and Additive
Scoring Model
Tomasz Blaszczyk1, Tomasz Wachowicz1
1
Karol Adamiecki University of Economics, Poland

The Analytic Hierarchy Process is a proven and widely applied
Multiple Criteria Decision Making method. In this paper we
described an application of this approach to the problem ofsupplier selection in municipal bus transport company. The set of
evaluation criteria included both quantitative and qualitative databounded with financial, technical and political expectations. We
investigated requirements of both company's managerial board
and technical staff. The final decision in the described real-life casewas made on the basis of law of public tenders restrictions. This
paper describes the decision making procedure with tender resultscomparison and discussion. The aim of this research was to
identify the preference structure of company's management board
and technical staff and to collate this preferences with results oftender procedure.
The Applications of Maximal Covering Model in Typhoon
Emergency Shelter Location Problem
Anping Pan1
1
Wenzhou University, China

The well-known particle swarm optimization (PSO) proposed by
Kennedy and Eberhart has been widely applied to the continuous
optimal problems. However, it is still intractable to apply PSO todiscrete optimization problems, such as permutation flow shop
scheduling problems (PFSSP). In this paper, a new highperforming metaheuristic algorithm hybridizing PSO with variableneighborhood search (VNS) is proposed to solve PFSSP with theobjective of minimizing makespan. NEH heuristic has been
adopted in the first step to generate good solutions in the initial
population, and then PSO and VNS are hybridized to search for
optimal or near-optimal solutions of the PFSSP. Two effective
neighborhood structures concerned with characteristics of PFSSP
have been adopted to enhance VNS's performance. Computational
experiments have been conducted on benchmarks and comparison
results with other existing algorithms show the efficiency of the
proposed algorithm.

Typhoon-induced disaster is one of the most important factors
influencing the economic development in China. One facet of
evacuation is the withdrawal or removal of persons from a strickenor threatened area. Another is the resettlement of the victims, or
potential victims, and the provision of shelter and resources in theareas to which those residents are moved. Typhoon Emergency
shelters are places for people to live temporarily when they can't
live in their previous residence during typhoon disasters. The mostimportant function in emergency management is that choosing thepositions of emergency service facilities, hence the site selection
decision-making that how to effectively configure and rational
distribution of typhoon emergency shelters in rural areas is very
important. This paper describes an integrated location-distribution
model for coordinating logistics support and evacuation
operations in disaster response activities. In risk mitigation studies
for natural disasters, possible sites where these units can besituated are specified according to risk based rural structural
analysis. Logistics coordination in disasters involves the selectionof sites that result in maximum coverage of resettlement need inaffected areas. A example is given to show how the proposedmodel can be used to optimize the locations of typhoon emergency
shelters in coastal typhoon disaster areas.

How Managerial Ties Influence Firm Performance in China: A
Perspective of Sensemaking

Comparing Product Development Models to Identify Process
Coverage and Current Gaps: A Literature Review

Yi Sun1, Min Liu1, Chaoyong Zhang2, Liang Gao2, Kunlei Lian1
1
State Key Laboratory of Digital Manufacturing Equipment and Technology, China
2
Huazhong University of Science & Technology, China

Xue-Feng Zhu1, Yuan-Qiong He1
1
Huazhong University of Science and Technology, China

Managerial ties may have positive impact on firm performance.
However, it's still unclear how managerial ties influence thedecision-making of top managers and a firm performance. This
article explores the relationship between managerial ties and firm
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Armin Sharafi1, Thomas Wolfenstetter1, Petra Wolf1, Helmut Krcmar1
Technische Universität München, Germany

1

This paper summarises international literature on productdevelopment from an engineering perspective to identify coverageand gaps in commonly used product development process models.

As a result, we find a heterogeneous landscape of models
describing the process. A comparative framework illustrating theemphasis and the scope of product development process models
from different perspectives has been derived for our approach.
This framework helps researchers and developers to identify
suitable procedures for their specific perspective. Accordingly we
discovered three areas (product development management,
simultaneous development and information management) which
are so far underrepresented in product development processmodels.
Research on Integrated Modeling Method for Modular Fixture
Based on OO Technology
Jin Cai1, Guolin Duan1, Tao Yao1, Hongjing Xu1, Xuebin Chen2
1
Hebei University of Technology, China
2
Hebei Polytechnic University, China

Generally, computer-aided fixture design (CAFD) system is limited
to a special CAD system and can not be used cross platforms.
Object-oriented (OO) method is taken as a core, together withtabular layouts of article characteristics (TLAC) and XML to build
an integrated model for modular fixture system. In the integrated
model, every sub-model works together to realize the goal of
CAFD system being used successfully to other CAD platforms ordiverse systems, providing valuable information and methods forthe similar problems.
Simulation and Experimental Verification of Linear
Interpolation Cutter Path Error Produced by NC Servo
Characteristics of Machining Center
Hua Qiu1, Chao Lin2
1
Kyushu Sangyo University, Japan
2
Chongqing University, China

This paper proposes a simulation method for estimating the
trajectory error of a linear interpolation cutter path due to the NC
Acc/Dec motion around a connection point of two segments for a
MC. The algorithm is very simple and efficient for simulation
calculation and practical programming. The effectiveness of themethod is also evidenced through a detailed comparison of thesimulated cutter path with the measured ones under various
motion conditions. As a useful tool, the method is applicable tobefore estimating the influence of the Acc/Dec procedurecharacteristics on cutter path accuracy or judging the cutting
conditions for the machining purpose without performing an
actual machining test on the MC.
A Comparative Study for Designing Cellular Manufacturing
Systems with Assembly Aspects by a New Approach

Jamal Aliabadi1, M.Bahador Aryanezhad1, Reza Tavakkoli-Moghaddam2
1
Iran University of Science and Technology, Iran
2
University of Tehran, Iran

The Cellular Manufacturing Systems (CMS) design problem withpresence of assembly operations; as in the real manufacturing
environments, and so, because of the parent/child relationships forthe final products, is very different to what it has been common in
the literature. This paper describes the CMS design in above
situation and shows its differences with common situation bycomparative analysis. For this purpose, a new mathematical
approach for modeling the CMS design problem is presented tosurmount the drawbacks of similar researches and to fill thecurrent gap. Then, the computational results by solving an
illustrative example are evaluated and comparative outcomes areused to demonstrate the validity of proposed approach.
Prediction of State of User's Behavior Using Hidden Markov
Model in Ubiquitous Home Network
Wonjoon Kang1, Dongkyoo Shine1, Dongil Shin1
1
Sejong University, South Korea

In this paper, we used Hidden Markov prediction tools to predict
the state of the behavior of users in a ubiquitous home network.
The state of the user's behavior presents a change of interest in theaction of the user. This paper proposes a weight (WEIGHT) for thelevel of interest in the behavior and the strength of the relation
between the behavior and interest, which is the formulation of theuser's interest in the human action. We investigate the feasibility ofpredicting the next state using the sequence of previously observed

states and the action type, and analyze the efficiency of the Hidden
Markov Model (HMM). The prediction accuracy of the method isdetermined. It is found that, on average, the choice of training data
leads to a prediction accuracy of 84.61%, while in some cases theaccuracy is as high as 91.23%.
Study of the Terminal-Pair Reliability in Grid Networks
Young C. Park1
1
Baekseok University, South Korea

In this paper, we study the terminal-pair reliability in grid
networks. An area switched tactical communication system such as
ATN (Army Tactical Network) involve large number of nodes, andof links. The resulting huge number of possible combinations ofnode and link failures make it difficult to perform quantitative
analysis for system survivability assessments in terms of multi-hop
connectivity, under jamming and physical attacks. We suggest an
ATN Simulation Model (ATNSM) to overcome this difficulty forenumerating multi-hop routing successes to develop a lower
bound on connectivity. The analysis techniques were exercised on
an example ATN area coverage network model with 7x5 grid
nodes under stress conditions.
An ADT Comprehensive Evaluation Method Based on BayesianLizhi Wang1, Tongmin Jiang1, Xiaoyang Li2, Jingrui zhang1
1
Beijing University of Aeronautics and Astronautics, China
2
Beihang University, China

Accelerated degradation testing (ADT) is used to obtain
performance parameter in a short time and extrapolate the lifetimeand reliability of the products under normal operation conditions.
However, sometimes the degradation information from ADT is notenough for the limited cost and time, and the evaluation accuracyof the lifetime and reliability would be low for it. To solve thisproblem, this paper presents an ADT comprehensive evaluation
method based on Bayesian theory, and take super luminescent
diode (SLD) as an example to explain the application of thismethod.
A Heuristic Approach for Transportation Planning Optimizationin Container Yard
Minghua Zhu1, Xiumin Fan1, Qichang He2
1
Shanghai Jiao Tong University, China
2
Shanghai Key Lab of Advanced Manufacturing Environment, China

This paper addressed the problem of container transportation
planning in the export container yard. Previous studies of thisproblem have been limited in consideration of the relocation
number only. However, crane operation consists of both trolley
and spreader moves within the same bay. The number of relocation
is not enough to be the best overall measurement for reducing theunproductive time. In the spirit of previous authors, an additional
factor of crane cost is taken into consideration for blocks relocation
problem (BRP) in this paper. Three heuristic rules including
minimum basic relocation number, minimum crane costs andminimum relocation operation times are proposed for determining
the storage location of relocated blocks. A filtered-beam-searchheuristic algorithm is proposed and presented for BRP with cranecosts. Computational results on small and large-size problem
instances allow drawing conclusions about the effectiveness of the
proposed method.
Alleviating Shaft Torsional Vibrations Caused by Electric Arc
Furnaces for a Low Capacity Turbine Generator by Using a
Flywheel Coupler
Whei Min Lin1, Chia Chun Tsai1, Chi Hsiang Lin2, Ta Peng Tsao3
1
National Sun Yat-Sen University, Taiwan
2
Kao-Yuan University, Taiwan
3
National Taipei University of Technology, Taiwan

The current unbalance produced by the EAF operations may
induce the torsional vibrations on shafts of a small scale steam
turbine generator nearby. The vibrations might not be ignored dueto that the unbalance is severe and sustained. What’s even worse,the vibrations might be significant if there are any vibration modes
which frequencies are closed to the double system frequency. In
this paper, turbine shafts vibrations induced by the EAF operations
are analyzed by modeling and simulating a practical distribution
system with the MATLAB PSB. Since it is the field measured
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current data that are fed to the models, the time domain responses
can be quite resemble to the real. Furthermore, we have designed aflywheel coupler, which can be quite effective in alleviating
vibrations caused by the current unbalance.

performance based on entropy weight radar chart theory is built.
Finally, by practical application, the reliability of this method isverified, which provides the reference and basis for evaluating
pavement performance accurately.

A New Methodology to Integrate Human Factors Analysis andClassification System with Bayesian Network

Development of an Explanatory Model of Cycles within
Development Processes by Integrating Process and Context
Perspective

Yanfu Wang1, Shahrzad Faghihroohi2, Xiu Ming Hu2, Min Xie2
National University of Singapore & China University of Petroleum, Singapore
2
National University of Singapore, Singapore
1

In this paper, a new methodology, which integrates human factors
analysis and classification system (HFACS) with Bayesian
Network (BN), is proposed to assess the contribution of humanand organizational factors in maritime accidents. As a means ofmaking up the lack of quantitative analysis within HFACS, theintegration of BN and fuzzy analytical hierarchy process (AHP)
have been selected to estimate quantitatively the contribution ofhuman error to the accident. At the same time, the HFACS' 4-levelstructure provides a systematic guideline in the construction of the
BN to model how human errors are related to form a network.
Fuzzy AHP and decomposition method are applied to estimate theconditional probabilities of BN, which is more efficient mannerand can reduce subjective biases. A case study of ship collision
showed that the method is more flexible to seek out the criticallatent human and organizational errors using the advantages ofboth techniques.
Effects of Psychological Empowerment on the Performance of
R&D Employees: Moderating Effects of LOC
Yang Di1, Yi Li2
1
Alcartel Lucent Technologies, China
2
Shanghai Univesity, China

To test the relationship between psychological empowerment andR&D employees’ work performance (including task performance,
contextual performance and innovation performance), and themoderating effect of Locus of Control, we collected paired data of
189 R&D employees and their supervisors from a large
foreign-funded R&D institution in China. The results show thatpsychological empowerment has significant positive influence on
R&D employees’ task performance, contextual performance andinnovation performance. In case of ‘internals,’ the impact of
psychological empowerment on contextual and innovation
performance is more significant than for ‘externals.’ The article
concludes with a discussion of the theoretical values of this study,
and its implications for managements in practice.
The Analysis and Design of Urban Bridge Safety Early-warning
Management System
Rong Liu1
1
Chongqing Jiaotong University, China

In this paper, think of it in terms of safety science, it's pointed outthat urban bridge safety early-warning system is mainly composedof four elements: human, bridge, environment and management,by summarizing the research status in the field of bridge security.
Then primary configuration of early-warning management system
for urban bridge is put forward, which is formed from four
subsystems: human factor control subsystem, bridge condition
monitoring and forecasting subsystem, bridge accidents
emergency disposal subsystem and bridge safety early-warning
management system. In order to keep bridge operating safe,enough attention should be given to the research of bridge
techniques as well as the efficiency of bridge management.
Improvement and supplement of early-warning management
system for urban bridge must rely on the theory development andtechnology progress of safety science, along with accumulationand summary of safety management practices for bridge
engineering.
Pavement Performance Evaluation Based on Entropy Weight
Radar Chart Theory

Stefan Langer1, Arne Herberg1, Klaus Körber1, Udo Lindemann1
1Technische Universitaet Muenchen, Germany

Dynamic changes and variations play a decisive role in innovation
processes. By addressing the aspect of cycles – that is reoccurring
temporal or structural patterns – within development processes aswell as in their context, this research contributes to an enhanced
understanding of complex dynamic interdependencies. Therefore,
two development projects are analyzed and a series of interviews
with industry is conducted, aiming at deriving examples of cycles
from process execution. These examples are classified according toexisting approaches for describing development processes andtheir context. Based on this, a definition of relevance of cycles is
proposed and an explanatory model of cycles andinterdependencies within the development process as well as in its
context is presented. Finally, the modeling approach is reviewed
concerning its benefits and its applicability.
Research on the Innovation BT Mode of Urban Rail Transit
Projects Based on Project Control Right - A Case of Shenzhen
Metro Line 5

Ling Yan1, Yufei Zhao1, Yaling Du1
1
Tianjin University of Technology, China

The increasing demand of the Urban Rail Transit Projects (URTP)
and the insufficiency of government financial capital make BT
mode a better choice of financing and construction mode for
infrastructure project. However, the co-organizer of the URTP
under BT mode has the project control right during theconstruction period; while, the sponsor is not in charge of the
project operation, which makes it difficult for the realization of theoperation function. The paper takes Shenzhen Metro Line 5 as theexample, analyzes the BT mode from the perspective of ProjectControl Right Allocation and points out the BT mode is a weak BT
mode, that is, BT sponsor has strong control right during theoperation and undertakes supervision responsibilities. The weak
BT mode is an innovation mode on PCRA. It meets the
management demands about operation function, reducing
management interface and helping to transfer risks. At last, thepaper analyzes the limitations of the innovation BT mode, which
will help to explore certain value on theoretical study and practiceof URTP BT mode.
Ideation for the Problem of Component Placing
Christine Chou1, Steven Kimbrough2, Thomas Lee2
1
National Dong Hwa University, Taiwan
2
University of Pennsylvania, United States

The component placing problem (CPP) is the problem of finding
new uses of component, as distinct from final, products. This is anunder-addressed and generally unsolved problem. It is especially
important for firms that engage heavily in R&D and develop
intellectual property. The literature on ideation and on new
product development would suggest that nominal group processes
could be useful in generating ideas for finding new uses ofcomponents. To our knowledge, this suggestion has not been taken
up and reported on previously. We conducted three exploratory
nominal group sessions, each tasked with finding new uses of
Tyvek, a synthetic material produced by DuPont. This paper
reports on the results, which were broadly promising.
An Automatic Ontology Building Method with Case-base in
Semantic SOA Integrated System

Hongyun Yao1, Rongjun Xing1, Pai Xu1
1Chongqing Jiaotong University, China

Qicheng Zhang1, Lin Zhang2, Yongliang Luo1, Baolu Wang1
1
Beihang University, China
2
Simulation Center, China

After brief analysis of the current evaluation ways of the pavement
performance, the integrated evaluation method of the pavement
performance based on entropy weight radar chart theory is
proposed in this study. In order to get objective, accurate
evaluation results, after the analysis of radar chart theory and theimprovement of the evaluation method of the traditional radar
chart theory, a new evaluation method of the pavement

While ontology is critical to realize semantics, many defects exist in
its building methods, especially conflicts between building costand ontology quality. Specific to this problem, the paper brings
forward an automatic ontology building method grounded on
case-base. That is, to build domain ontology automatically withfield concepts and relations extracted from case-base which
records a plenty of users' domain knowledge and experience.

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Firstly, the paper provides an in-depth study on theoreticalanalysis, which discusses its feasibility and effectiveness. Then, asystem architecture and workflow are designed to adapt to theme-thod. The last but not the least, combined with fieldcharac-teristics of complex products' manufacturing process,algo-rithm and implementation concerning key technologies arecomprehensively elaborated.
Embracing Open Innovation and Disruptive Innovation as
Strategies for Chinese Companies
Jun Jin1, Shanchao Wu1, Aijun Ruan2, Xiaomei Wang3
1
Zhejiang University, China
2
Taizhou University, China
3
Zhejiang Forestry College, China

Based on theoretical analyses of relationship of open innovation,
disruptive innovation and competence building, this paper
attempts to propose a conceptual framework for strategic makingof Chinese companies to improve their competence andcompetitiveness combining open innovation and disruptive
innovation. The growth of a company, R&V is taken as a case toillustrate this argument. Theoretical analyses and empiricalresearch suggest that open innovation and disruptive innovation
co-exist in a company. In addition, the research argues that open
innovation and disruptive innovation can be strategies of a
Chinese company to improve their competence. The research willcontribute to the theories of open innovation and disruptive
innovation and their practices in developing countries, like China.
Niche Strategy, Interfirm Network and Technological Innovationof Latecomer Firms: A Case from China
Lijuan Wu1, Haiting Huang2, Ju Li3, Xinmin Peng1, Ruiqing Huang1
1
Zhejiang Wanli University, China
2
Zhejiang Textile & Fashion College, China
3
Zhejiang University, China

Latecomer firms how to build the different interfirm network tomatch the different niche strategies to achieve better innovational
performance is one of increasing concern topics both in practiceand academics. The paper divides the niche into product niche andprocess niche, divides the technological innovation into productinnovation and process innovation according to different
competition positioning, through the case study of Yuren Group in
China, we discovered the innovational mechanism that productniche contribute to product innovation and process niche
contribute to process innovation, in which the interfirm network
play an positive moderating role. This discovery put forward arevelation for latecomer firms to achieve successful technologicalcatch-up.
University-Industry Cooperation and its Impact on the
Innovation Performance of Firms in China: A Conceptual Model
Shichao Li1, Jun Su1
1
Tsinghua University, China

This paper aims to extend our current understanding of how
university-industry (UI) cooperation affects the innovation
performance of firms. In particular, this paper develops aconceptual model to illustrate the cause-and-effect relationships
between UI cooperative research and firms' innovation
performance. In order to do so, first, relying on insights from theresource- and knowledge-based theories of the firm and theliterature on relational embeddedness, we present a theoreticalassumption of "the relational embeddedness of UI
cooperationâ†’firms' external knowledge acquisitionâ†’theinnovation performance of firms". Then, we combine the results ofprior studies on the above three aspects and the evidence from four
theory-building case studies of Chinese UI cooperative research
projects to formulate and verify a series of empirically testable
research propositions, which therefore deepen and refine ourknowledge of the above theoretical assumption.
Application of Digital Watermark Technology for Movie Data in
Streaming Distribution Service

as DVD distribution and streaming distribution services over theInternet, have been started. Businesses that handle high-quality
video are growing. However, these businesses are incurring
increasing damages as a result of illegal copies, the quality ofwhich does not deteriorate as the content is copied, owing to thenature of digitalization. The problems that accompany theevolution of digital technologies are some of the barriers impeding
the solid growth of digital content businesses. Against thisbackground, we investigate digital watermarking as a method forprotecting for video content in this research, and we consider the
related technologies and methods for implementing such
watermarking. In order to compare digital watermarking
technology with existing technology, we have divided thecharacteristics of digital watermarking technology into threeelements. We discuss new concepts regarding each element andclarify its characteristics. We make a proposal for the copyrightprotection of digital content, and also propose how copyrightprotection can be applied in the service field.
An Objective Measure of Risk
Jiang Hong1, Jian Zhai1
1
Zhejiang University, China

In this paper, we develop a risk measure based on the concepts of"duality". The measure is defined on the domain of "gambles":random variables g with some negative values. It is positively
homogeneous, continuous, subadditive,and respects first- andsecond-order stochastic dominance. Our measure is objective andgives extra weight to losses.
Engaging Employees in Organizational Commitment: The
Training Quality in Industrial Management
Chien-Pei Ko1, Chen-Chen Ko2, Shiu-Chuan Chiu1
1
Ching-Kuo Institute of Management and Health, Taiwan
2
National Changhua University of Education, Taiwan

This study aimed to discuss the relationship between innovative
concepts of training quality and organizational commitment for
Taiwan's industry management. Questionnaire survey was
conducted on manufacturers in Taiwan that participated in the
project of the Vocational Training Council. A total of 1000
questionnaires were distributed to directors, general employees,
and human resource personnel in 100 industrial companies; and 66
valid samples from directors, 382 from general employees, and 123
from human resource personnel were returned, totally 571 valid
samples. The data were analyzed by the structure equation
modeling (SEM). Based on the results, the following conclusions
are made: (1) an organizational scale of background variables has asignificant effect on training quality, (2) different backgroundvariables have no significant effect onorganizational
commitment, and (3) training quality is significantly correlated toorganizational commitment. The research results on innovation
indicated that focus on training quality control is conducive tobenefits of organizational commitment, and has a positive effect onorganizational development.
The Moderator Role of Organizational Structure and Network
on International Entrepreneurship: A Study of Chinese Firms
Hairu Yang1
1
Shanghai Financial College, China

This study explores the role of a firm’s external and internal factors
in its acquisition of foreign knowledge. We hypothesized thatinternational entrepreneurship is positively related to foreignknowledge acquisition. Furthermore, this relationship ismoderated by factors including the organization’s organic
structure and network strength. Based on a sample of 219 Chineseinternational firms, our research results indicate that the organic
structure positively moderates the relationship between
international entrepreneurship and foreign knowledge acquisition.
In contrast, the organization’s network strength hinders theeffectiveness of international entrepreneurship.

Manabu Hirakawa1, Junichi Ijima1
1
Tokyo Institute of Technology, Japan

Recently, business in digital content has grown at a rapid pace, anda variety of services and environments that carry music and video
content have been established. Various distribution services, such
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Cost of Quality Modeling: Extension and Improvement

Mohamed K. Omar1, Sharmeeni Murugan1, Nor Akramin Bin Mohamad1,
Mohamad Razali1
1
University Technical Melaka, Malaysia

This paper proposes a new cost of quality model that taken into
consideration inspections errors, tolerance design and important
process quality control techniques in a manufacturing
environment. Through simulation works and using a real life data,
the model was validated. Results indicate that the model
accurately confirms the improvements suggested in the literature.
Internal Customer Orientation and Internal Supply Chain
Management
Qionglei Yu1, Yi Qiu1, Wei Feng1
1
Zhejiang Gongshang University, China

Internal customer orientation was initiated by the concept ofinternal marketing. The existence of internal market advocates thefact that internal customers can be motivated and satisfied bycertain internal marketing programs. Companies with an internalcustomer orientation have more power in internal supply chain
management and gaining better external market performance. This
paper investigates how internal customer orientation can havepositive impact on the company performance with an
improvement of internal service quality. A conceptual framework
is established and propositions are posited. Two cases areinvestigated. The research outcome shows a positive relationshipbetween internal customer orientation and the effectiveness ofinternal supply chain management. Finally, management
implications are recommended.
Customer-Supplier Relationship: a Multicases Study in theBrazilian Automotive Industry
Rosangela Vanalle1, Alexandre Dias1, Jose Salles1
1

Nove de Julho University, Brazil

New forms of relationships and transactions are being practiced
between companies participating in the same supply chain to
improve the competitive conditions in the chain. The automotive
industry is a striking example of a sector in which relationships
between companies have undergone profound changes, motivatedmainly by the influence of automakers on primary suppliers who,
in turn, work with their own suppliers, forming a competitive
alliance. This article discusses client-supplier relationships in
Brazil’s automotive industry, using case studies to ascertain thepossible tendency for the formation of a new relational typology
among these actors. Technical visits were made to fourteen autoparts suppliers to garner information about the main structuralfeatures and the relationship between automakers and suppliers.
Interviews were held with top management staff in the areas ofproduction, logistics and supply, product and processdevelopment, purchasing, and human resources. The findings
indicated that the relationships depend on the supplier’s
institutional characteristics, the technological complexity of thecomponents, the supplier’s production capacity, and the history ofclient-supplier relations. It was concluded that the client-supplier
relationships at the companies surveyed resemble thecharacteristics of an associative model, with contractual relations
and high long-term interdependence, although price is still themain criterion that guides the automakers’ choice of suppliers.

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Session
Date
Time
Room
Chairs

Decision Analysis & Methods (7)10/12/2010
09:00 - 10:30
NAPLES 2703
Hsiao-Min Chuang; Mohammed-Aminu
Sanda

Oligarchic’s Game Equilibrium Model in Regional Power
Markets with Financial Options
Fang Wang1
1
Hunan Agricultural University, China

Based on non-cooperative game theory, a Stackelberg model isdeveloped for two plants in regional power markets. The plants arein the game of two-period in options and spot markets. By the
backward induction method, equilibrium quantity of power
generate of them in the spot market and call options they sell in theoptions market are solved. Different impacts of the financial
options between the Stackelberg model and Cournot model on themarket equilibrium and plant’s bidding strategy are compared,
and different impacts of the generating cost, strike price and spot
price fluctuation on generators option trading strategy are
analyzed. The results show that the financial options contracts
promote the market competition to some extent, and the effect on
power market according to Stackelberg model is greater than
Cournot model , which provide a new idea for power to weakenmonopolies and guide competition orderly.
Assignment Problem Formulation Under Competence andPreference Constraints

Raoudha Mkaouar Hachicha1, El Mouloudi Dafaoui1, Abderrahman El
Mhamedi1
1
University of Paris 8, France

Classifying and Ranking DMUs of Different Efficiency Levels
Gongbing Bi1, Linlin Zhang1
1
University of Science and Technology of China, China

In this paper, we propose an alternative efficiency measurement toimprove the insufficiency in Data Envelopment Analysis (DEA),
provide a precise classification of efficient Decision Making Units(DMUs) and deliver more inner information about the evaluated
DMUs, based on a new DEA non-traditional efficiency
measurement which projects out DMUs at every input/output
direction, one for each. Moreover, a procedure of three steps is
given to differentiate the strongly efficient DMUs and weakly
efficient DMUs among all the efficient reference sets. Finally, anumerical illustration is presented in this paper to show thepotential advantages of the proposed DEA non-traditional
efficiency measurement.
Modeling and Simulation of Operational Decisions in
Manufacturing Enterprises Based on SD and BSC
Ying Yang1
1
Donghua University, China

To get an integrated solution of operational decisions in
manufacturing enterprise, this research firstly studies operational
decision making process in manufacturing enterprise; it
decomposes strategic visions based on BSC theory, and gets thedecision targets and decision variables. The decision variables'
value will change as the decision environments changed, and thedecision variables relate to each other. This paper chooses SD
method to establish an operational decision model; the model cansimulate operational decisions in different environments and show
the impacts on the key performance indicators of enterprise.

In this paper, a new formulation of assignment problem taking into
account both operator competences and individual preferences ispresented. The integration of the aforementioned factors in theobjective function of the proposed formulation is described. In thecurrent work the dependence between competence and processing
time is expressed by a coefficient that represents the degree ofcloseness between the required and acquired competence
resources levels. Both, the calculation of the closeness coefficientand the structure of the processing time function are pointed up
across the sections.
Selection of Construction Method for Large Section Soil Tunneland Analysis of Monitoring Results During Construction Period
Ya Li Xu1, Zeng Rong Liu1, Quan Zhang2
1
Xi'an University of Architecture and Technology, China
2Longyan Institute of Architectural Design and Research, China

Relying on the background of large section soil tunnel engineering,
the numerical simulation on three excavation methods for soil
tunnel including bench method, arch heading method and crossdiaphragm were carried out. Results show that the arch heading
method is confirmed as optimum for this project by comparative
analysis. And then, according to the monitoring results of the archheading method, stress development laws and deformation
characteristics of surrounding rock and supporting structure oflarge section soil tunnel were obtained, which include regression
analysis functions of the development trend of vault settlement
and horizontal convergence, distribution characteristics of groundsurface settlement, development law of primary support stress andcontact stress between surrounding rock and support, influence
scope of tunnel face excavation and corresponding deformation
law of surrounding rock as well as main deformation stage.
Besides, the reliability of simulated results is verified bycomparing them with the monitoring measurement data.

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Session
Date
Time
Room
ChairsTechnology & Knowledge Management (7)10/12/2010
11:00 - 12:30
NAPLES 2703
Prattana Punnakitikashem; Yuya Kajikawa

Technological Upgrading Path for Latecomer Firms in Global
Value Chain: The Case of YOUNGOR from China
Xinmin Peng1, Na Li1, Changjuan Zheng1, Lijuan Wu1, Ruiqing Huang1
1
Zhejiang Wanli University, China

The paper selected YOUNGOR Group as representation oflatecomers in developing country to explore the technologicalupgrading path. By using case study methodology, the paper
analyzed the relationships between technological innovation andenterprise upgrading among global apparel value chains which
YOUNGOR embedded in,. The paper summed up YOUNGOR'stechnological upgrading path which is from OEM to ODM to OBM.
At the same time, fostering technological innovation capability andimproving the lag link of the value chain, take vertical integration
and brand marketing strategies simultaneously are the key
elements to implement the upgrading path successfully.
The Role of Outbound-Revealing Open Innovation: Theoretical
Extension and Case Study
Pengfei Wang1, Yisha Zhou1
1
Zhejiang University, China

Although open innovation has drawn more and more attention,
the value of outbound-revealing is still mysterious and attractive,
since firm could not see the direct benefits by revealing knowledge
outside freely. By a mini case study of user innovation, we
proposed that outbound-revealing would help firm achieve better
inbound-sourcing, thereby to improve its innovation performance.
Visual Knowledge Service Market for Employment Information
Grid
Chunlai Chai1
1
Zhejiang GongShang University, China

More and more employment websites have provide recruitment
services. Some of them are comercial websites, others aregovernment-sponsored websites. The biggest problem for thesecenters is that there is no information sharing among these sites.
This paper would assume eache website as a knowledge orinofrmation node and analyze the possibility of knowledge sharing
and the sharing architecture from the viewpoint of information
sharing, then set up a virtual knowledge service market withrewards and punishments mechanism. Finally, through empiricalexperiment, the knowledge trading mechanism with rewards andpunishments could significantly improve the knowledge
efficiency.

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The Representation and Analysis Methods of Domain
Knowledge of Scientific Research Organization Based on
Knowledge Network
Ruishen Chen1, Haifeng Zhao1, Guanwei Huang1
1
Tongji University, China

The methodology of modeling and analyzing of a knowledge
network are discussed in this article. Two steps will be taken to
establish the model of a knowledge network for a scientificorganization. Based no the network model, the density,
betweenness centrality and structure expression analysis will be
conducted. The calculation result of the density provides anobjective indicator for the researchers to compare with two
scientific organizations which are similar in scale. In addition, thebetweenness centrality and the successive reduction method
identify the level which determines whether the node is importantor not. Furthermore, with the clique analysis and the hierarchy
cluster method, we achieve the goal to express the structure of the
network, which is critical for further study. At last, a numericexample based on the data from Shanghai Institution for Science of
Science confirms the feasibility of the methodology of modelingand analysis.
Science and Technology Map Analysis of a Multi-Disciplinary
Field Case Study of Aerospace Engineering

Hiroko Nakamura1, Hajime Sasaki1, Naoki Shibata1, Yuya Kajikawa1, Ichiro
Sakata1, Shinji Suzuki1
1
The University of Tokyo, Japan

Both the expansion of knowledge and the fragmentation of
disciplines are causing delay in important development strategy
decision in many promising industries. Policy makers andpractitioners expect tools to structure the expanding knowledge
and to roadmap for breakthroughs. In this paper, we approach thischallenge with a citation network analysis to academic
publications and patents. The case study is discussed within one of
the most complex galaxy of disciplines, Aerospace Engineering(AE). The analysis is based both on academic papers of major AE
journals and on patents classified to AE by International PatentClassification. We obtained landscapes both of science andtechnology. We found the difference between knowledge structureof AE, an integrated multi-technology system and the results
obtained from our previous studies in component technology
fields. This study contributes toward developing the adaptabilityof our tool to roadmap for innovation.
The Role of Organizational Factors in the International
Technology Transfer Project Success: An Empirical Investigation
Mohammadreza Taghva1, Seyed Habibollah Tabatabaeian1, Kamal
Mohammadi1
1
Allameh Tabatabaei University, Iran

The purpose of this study is to examine the effect of organizational
factors on the success of international technology transfer (ITT)
projects. To do so, three organizations involved in an ITT project
are considered: the transferor, transferee, and project organizations.
The results of the data from 47 ITT projects showed the significant
role of transferee and project organizations in the success of ITT
projects.

Session
Date
Time
Room
ChairsIntelligent Systems (1)10/12/2010
09:00 - 10:30
NAPLES 2603
Suthep Butdee; R. J. Kuo

Decision Making of Facility Locations Based on Fuzzy
Probability Distribution Function
Pei-Chun Lin1, Shuming Wang1, Junzo Watada1
1
Waseda University, Japan

Facility locations can appear to be a challenge for both novice andexperienced analysts. But, it is far more efficient if its decision
making follows a logical, systematic procedure. Such an approachmarkedly increases the chances of finding a location and improves
the firm's objectives. This paper aims to provide Fuzzy Probability
Distribution Functions (FPDF) so that the decision making can be
pursued under hybrid uncertainly. FPDF is defined using threeparameters of central point, right radius and left radius. Moreover,a new fuzzy probability distribution function is defined on thebasis of these three parameters. When FPDF are properly
generated, the functions can easily be used in the decision making
of facility locations by means of optimal model proposed in
Shuming Wang, et al..
Predicting Customer-supplier Relationships Using
Network-based Features

Junichiro Mori1, Yuya Kajikawa1, Ichiro Sakata1, Hisashi Kashima1
1
The University of Tokyo, Japan

Business development is vital for any firms. However,globalization and the rapid development of technologies havemade it difficult to find appropriate business partners such as
suppliers, customers and outsources. In this contribution, we
propose a new computational approach to find business partnercandidates based on firm profiles and transactional relationships
among them. We employ machine learning techniques to build
prediction models of future customer-supplier relationships. We
applied our approach to Japanese firms and compared our
prediction results with the actual business data. The results
showed that our approach successfully found plausible candidates,
and can be a new powerful tool to develop one's own business inthe complicated, specialized and rapidly changing businessenvironments of recent years.
Using Constraints Filtering and Evolutionary Algorithms forInteractive Configuration and Planning

Paul Pitiot1, Michel Aldanondo1, Meriem Djefel2, Elise Vareilles1, Paul
Gaborit1, Thierry Coudert3
1
Toulouse University - Mines Albi, France
2
Toulouse University - Mines Albi, INSA, France
3
Toulouse University - ENIT / LGP, FranceThis communication aims to associate the product configuration
task with the planning of its production process in order to makeconsistent decisions while trying to minimize cost and cycle time.
A two step approach is described with relevant aiding tools.
During the first one, configuration and planning are considered as
two constraint satisfaction problems and are interactively assisted
by constraint propagation. The second one, thanks to a
multi-criteria optimisation relying on a constrained evolutionary
algorithm, proposes a set of solutions belonging to a Pareto front
minimizing cost and cycle time to the user. After a problem
introduction and a global description of the aiding system, thepaper focuses on the optimisation process with interesting
quantified results.

Decision Tree Based Demand Forecasts for Improving Inventory
Performance
Pradip Kumar Bala1
1
Xavier Institute of Management, Bhubaneswar, India

Demand forecasting with minimum error is the key to success in
supply chain management. There is no dearth of techniques used
for forecasting demand in retail sale. The advent of data mining
systems gives rise to the use of business intelligence in various
domains of retailing. The current paper makes an attempt tocapture the knowledge of classification of the customers using
decision tree as an input to the demand forecasting in retail sale.
The paper suggests a model which has been used in retail sale forbetter forecasting of demands and improved performance of
inventory in overall supply chain management. The proposed
forecasting model with the inventory replenishment system resultsin the reduction of inventory level and increase in customer service
level.
SVR Sagittal Balance of a Biped Robot Controlling the Torso andAnkle Joint Angles
J. P. Ferreira1, Manuel Crisóstomo2, António Coimbra2
1
Superior Institute of Engineering of Coimbra, Portugal
2
University of Coimbra, Portugal

This paper describes the control of an autonomous biped robot thatcombines the use of the torso and the ankle joints movements for
its sagittal balance. The innovative characteristic of this controller
is the combined use of the ankle and torso joints movements tocorrect the Zero Moment Point (ZMP). It is used an artificial
intelligence technique, the Support Vector Regression, to control
the balance of the robot. To obtain a good stable step it is very
important to have a good initial legs trajectory design. Having thisin mind human-based trajectories were used, leading to smaller
control corrections of ankle and torso joints. Different
combinations of torso and ankle joints corrections were tested forthe balance control on flat horizontal and inclined surfaces and theresults presented. In order to evaluate and compare theperformance of the balance control methods of a biped robot two
performance indexes are proposed.
Fault Detection Methods for Reconfigurable Manipulators Via
Decentralized Adaptive Fuzzy Nonlinear Observer
Peng Lu1, Bo Zhao1, Yuanchun Li1
1
Jilin University, China

In this paper, a decentralized adaptive fuzzy nonlinear observer is
proposed for fault detection of reconfigurable manipulators.
Estimation error is obtained from measured and observed velocity
is used as the residual vector, the system is fault-free operation
when residual vector is smaller than the selected threshold value.
A fault is declared if the residual vector is greater than or equal tothreshold, the threshold can be set based on the various trials
conducted in absence of faults. The fuzzy logic systems areproposed for approximating unknown terms dynamic model ofsubsystem and interconnection term by using adaptive algorithm.
With simulation, the effectiveness of the design technique isillustrated.

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Session
Date
Time
Room
ChairsIntelligent Systems (2)10/12/2010
11:00 - 12:30
NAPLES 2603
Manuel Crisóstomo; Ichiro Sakata

Composite Orthonormal Basis for Person-Independent Facial
Expression Recognition
Wenfei Gu1, Y.V. Venkatesh1, Cheng Xiang1
1
National University of Singapore, Singapore

We propose a novel framework, involving a composite
orthornormal basis (COB), for person-independent facial
expression recognition from images.
In combination withlocalized features, the new approach decouples expression fromidentity information as much as possible. Experimental results
show that such an approach, when applied to wide-ranging
databases, significantly improves
expression recognition
accuracy in comparison with the results in the literature. It can also
be successfully generalized to cross-database expression
recognition which is believed to be the first of its kind.
An Intelligent Approach of Obtaining Feasible Machining
Methods and Their Selection Priorities Based on Features Using
Neural Network
Guang Ru Hua1, Qing Hui Dai1
1
North China Electric Power University, China

To obtain all feasible machining methods and their quantitative
selection priority, an intelligent making decision approach using
back-propagation neural network is proposed. Uniform design
method, which is adapted for the problem of multiple factors andmultiple levels, is adopted to build representative sample sets forthe network. The neural network is trained by an improved
back-propagation algorithm which can adjust momentum factor
and learning rate simultaneously. Linear regression analysis isutilized to test the trained network. A case study has been
conducted to demonstrate the effectiveness of the proposed
approach.
Mixed Signature Descriptor with Global Invariants for 3D
Motion Trajectory Perception and Recognition
Jianyu Yang1, Y. F. Li2, Keyi Wang1
1
USTC/Cityu Joint Center, China
2City University of Hong Kong, Hong Kong

Motion perception and recognition by trajectory are important for
motion analysis. A flexible and adaptable descriptor of motion
trajectory plays important role in the performance of perception
and recognition. Motion trajectories usually use raw data for manytasks, which is not effective. Shape descriptors and signature ofdifferential invariants are good for local features but global featureis lacking. In this paper, we present a mixed signature descriptor
with global invariants which were not included in previous
descriptors. The mixed signature is capable of capturing the globalfeature and is flexible in many tasks. The conducted experiments
verified the capability of our method.

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Body Sensor Network Based Prosthesis Training System for
Leg-Amputees

Chenn-Jung Huang1, Chin-Fa Lin1, Po-Yen Tsai1, Yu-Wu Wang1, Ching-Yu Li1,
Heng-Ming Chen1, Jia-Jian Liao2
1
National Dong Hwa University, Taiwan
2
National Taiwan University, Taiwan

In the past, the utilization of the limb prosthesis has improved thedaily life of amputees or patients with movement disorders.
However, a leg-amputee has to take a series of training after
wearing a limb prosthesis, and the training results determine
whether a patient can use the limb prosthesis correctly in her/his
daily life. This work proposes a prosthesis training system to allow
the amputees to train themselves. Instant feedback messages
provided by the prosthesis training system are used to correct their
walking postures during the self-training process. An embedded
chip is used as a core to establish a body area sensor network forthe prosthesis training system. RFID readers and tags are
employed to acquire the 3D positioning information of theamputees limbs in this work to assist in diagnosing the amputees
walking problem. The simulation results exhibit the effectivenessand practicability of the proposed prosthesis training system.
Algorithm of an Optimization Route for Collaborative 2 Swarm
RobotsSuthep Butdee1, Kritisak Tangchaidee1
1King Mongkut's University of Technology North Bangkok, Thailand

This paper presents the algorithm of an optimization route forcollaborative 2 swarm robots. The target is to pick up four blocks atgiven points randomly and bring them to the target places which
are certainly assigned. The problem space is divided into two areas;
inner and outer. The inner is defined as a square matrix of 6x6,
whereas the outer is outside that area. The robots are started atinner space together with the four blocks. They have to work
collaboratively in order to bring the blocks to the target places as
fast as possible or the shortest distances. The algorithm is divided
into two parts. One is used for individual robot control, whereasanother is used for two robots’ collaboration. The case study istested on MATLAB.

Session
Date
Time
Room
ChairsEngineering Economy & Cost Analysis (1)10/12/2010
09:00 - 10:30
NAPLES 2702
Poul Kyvsgaard Hansen; Songlin Chen

Towards Customer Evaluation Based Product Performance
Modeling

Chathura Withanage1, Hae-Jin Choi2, Truong Ton Hien Duc3, Taezoon Park1
1
Nanyang Technological University, Singapore
2
Chung Ang University, South Korea
3Singapore Institute of Manufacturing and Technology, Singapore

In the front-end customer driven design process, a number ofdesign alternatives need to be evaluated based on customer
expectations. A systematic method is presented in this paper torank design alternatives by formulating a future rating model.
Projections to Latent Structures (PLS), which is a multivariate
analysis technique with proven efficiency, is employed to modelexperts’ ratings in terms of product attributes for each time step,and screen unimportant attributes using Variable Importance (VIP)
Scores. The PLS model parameter time series is used to formulate
the future rating model, by means of an optimization algorithm
embedded with forecasting. A case study is conducted using
ratings of 16 major mobile phone technological forums collectedfrom 2006 first quarter to 2009 third quarter. The future model
predictions of 2009 fourth quarter, with Mean Absolute Percentage
Error (MAPE) of 1.6, show the potential of proposed concept
screening method.

Analogy in Contemporary Engineering Economy: Mortgage
Loan and Bond Pricing
Kai Lam1
1
The Chinese University of Hong Kong, China

Two topics of social relevance, mortgage loan and bond pricing,have not received sufficient attention in engineering economy,
though they are of considerable importance in real estate andcorporate finance. In this paper we discuss some fundamentals forboth topics using the basic TVM (Time-Value-Money) and NPV(Net-Present-Value) principles, and derive the closed form
equations and iterative forms and their equivalence. Drawing
upon an analogy between the computations for mortgage andbond, we apply cognitive modeling for problem solving using afinancial calculaor as an effective engineering tool.
A New Approach to Improve Functionality for Cost Reduction inConstruction Project
Shujing Li1
1
Tianjin Institute of Urban Construction, China

This paper summarized and reviewed the current main strategies
for cost reduction in construction projects. According to the
feedback from ten experienced construction managers, weanalyzed the implementation of the current main strategies andnine possible factors (reasons) that should influence thesestrategies. Then a new approach is introduced to improvefunctionality for cost reduction in construction projects.

Synthesizing Judgment Matrix and Risk-odds Matrix for
Small-sample Combined Forecasting
Li Xie1, Ru-Xiang Wei1, Da-Wei Zhang11Naval University of Engineering, China

There are some small-sample cases in economic forecast, forlacking of quantitative information, in which it happens that somegiven forecasting method fits well while behaves badly inforecasting, while to the contrary, the situation behaves well when
we make the combination of both qualitative and quantitative
method in forecasting. The concept of risk of forecasting is defined,
as well as the concept and estimating method of risk-adds matrix.
Then, taking the judgment matrix as the basic matrix and therisk-odds matrix as the adjustment one, the modeling strategy offorecasts combination which is obtained by dynamic synthesizing
judgment matrix and risk-odds matrix is presented. In this strategy,
as the mumble of samples changing, the advantages of both AHP
and odds-matrix method can compensate each other, and theperformance of small-sample combined forecasting can be
improved.
Evaluation of TOU Price Based on Responses of Customer
Yu Cheng1, Nana Zhai1
1
North China Electric Power University, China

Time-of-use price (TOU price) based on demand response canchange consumer’s electricity characteristic. TOU price’s effectrelies on peak and valley periods division and determination ofrelative price. Evaluating current TOU price and investigating
consumer’s response for integration resources of user side
dynamically and roundly. Quantized metastasis of electric
quantity coefficient and quantized metastasis of electric quantity
matrix are put forward in this paper. Based on this, quantized
metastasis of electric quantity index is picked up by analyzing
consumer's load characteristic which includes inspecting load rate
and peak-valley ratio as well as integrating electric quantity’schange of each period after execution of TOU price. Large
industrial consumer response in some area evaluated by the frameof evaluation of TOU price is shown finally.

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Session
Date
Time
Room
ChairsEngineering Economy & Cost Analysis (2)10/12/2010
11:00 - 12:30
NAPLES 2702
Kai Lam; Jean-Jacques ChanaronLife Cycle Costing Analysis for Poly-Silicon Photovoltaics
Production Processes in Japan
Toshihiro Inoue1, Yuya Kajikawa1, Koichi Yamada1
1
The University of Tokyo, JapanThe objective of this study is to identify the key technology withanalysis of the cost boundary of future photovoltaics (PV)technologies using life-cycle costing. We estimate the amount costof photovoltaic system in Japan. It considers material flows over
the whole production process starting from silica extraction to thefinal panel assembling. The comparison of current scenario to the
expected future PV technologies focusing on the devices in eachproduction processes results in plant scale boundaries.
An Extended Pricing Model for Wireless Oligopolies
Hailing Zhu1, Andre L Nel1, Wimpie Clarke1
1
University of Johannesburg, South Africa

In this paper, we study price competition among multiple wirelessservice providers (WSPs) and propose a pricing model for such
wireless oligopolies. In such oligopolies, each WSP has to competewith other WSPs for users while maximizing its profit. On theother hand, price- and congestion-sensitive users aim to maximize
their compensated utilities by choosing a WSP offering the best
QoS and price combination. Using a two-stage non-cooperative
game model, we present a framework to formulate the interactions
among the WSPs and the users and identify Nash equilibrium
prices. We analyze the existence and uniqueness of equilibrium of
this pricing game and characterize the relations of the WSPs'
equilibrium prices. Analysis also shows that the equilibrium pricesof the existing WSPs are sensitive to the entry of a new WSP.
Particle Swarm Optimization Algorithm for Optimization of
Utility Systems in Chemical Processes
Wenzhi Dai1, Lin Mu2, Hongchao Yin2, Wei-Haur Lam2
1
Dalian University of Technology, Dalian university of Technology, China
2
Dalian University of Technology, China

Different techniques for the optimization of utility systems havebeen developed in recent decades. The objective of this paper is tointroduce a new mathematical programming model applied to theoperational optimization for the utility system. Particle Swarm
Optimization (PSO) presented by Kennedy has been described forsolving mixed integer linear programming (MILP). It is a simple
algorithm that seems to be effective for optimizing a wide range offunctions, which a few parameters can be implemented easily. The
case of utility system for the chemical process is also formulated asa MILP model where the mass and energy balances, theoperational status of each unit, and the demand satisfaction of
steam and electricity are defined. The target of the model is tominimize the utility costs. Current results are proved to be reliable,
which implied that the current method is more effective and robust
compared to the conventional method.
Thermoeconomics Cost Modeling of Marine Gas Turbine
Generating Unit
Youhong Yu1, F.R Sun1
1
Naval University of Engineering, China

The thermoeconomics costs model of a marine gas turbine
generating unit is built applying modern thermoeconomics theory.
The effects of equipment investment costs, and fuel prices,
operating and maintenance costs, finance interest rate, annual
operating hours and water washing mean duration on
thermoeconomics costs are researched. The results can provide
science reference for Marine Integrated Full Electric Propulsion
System prime movers arrangement and optimization.

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New Service Development Success Factors: A Managerial
Perspective
Dayu Jin1, Kah-Hin Chai1, Kay Chuan Tan1
1
National University of Singapore, Singapore

Identifying key NSD success factors has long been a hot topic in
NSD research. However, NSD success factor studies are more
descriptive than instructional. From a managerial perspective, we
conclude that most NSD success factors identified so far relate tothree NSD management processes: NSD process management,
NSD knowledge management, and customer involvement.

Session
Date
Time
Room
Chairs

Production Planning & Control (5)10/12/2010
09:00 - 10:30
NAPLES 2602
Jack Su; Radha Ramanan Thiyagarajan

The Impact of Product Proliferation in Reverse Supply Chain
Vincent Huang1, Jack Su1
1
National Tsing Hua University, Taiwan

In a highly competitive market, product variety is one of the mostimportant competitive advantages. However, excessive productproliferation will hurt firm's profit. Hence, how to manage productvariety to maximize profit becomes an important issue. In aclosed-loop supply chain, product proliferation not only impacts
the forward supply chain, but also the reverse one. Although
increasing number of product types will satisfy customer's divers
needs better, complexity of product recycling, remanufacturing,and resale process may erode firm's profit. In this research, wedevelop a mathematical model to analyze a capacitated reverse
supply chain, consisting of single remanufacturer and multiple
retailers. The closed-form solutions for optimal batch size andprofit are found. The managerial insights regarding how numberof products and other factors impact batch size and profit are
discussed. In addition, the relationship between productproliferation and the choice of logistic strategies is also
investigated.
Performance Evaluation of a Mixed-model Assembly Line with a
Bypass Subline Under Line Stop Condition
Mitsutoshi Kojima1, Kenichi Nakashima2
1
Nagoya Institute of Technology, Japan
2
Kanagawa University, Japan

A mixed-model assembly line is designed for production of many
products of small quantities. A bypass line is installed forabsorbing the difference of man-hour between items to beassembled on the mixed-model assembly line. However, when the
man-hour is greatly different among the product types, thevariation of the working delay and advancement cannot be
absorbed and the line stop occurs. In this research, the length ofworking area, the variation of working times and the capacity ofthe buffer of the line are considered and their influence on thework completion time and the line stop time is examined bysimulation experiments.
Development of a Hybrid Model for Manufacturing Cell
Formation Using Linguistic Theory
Nirjhar Roy1
1
M.N. National Institute of Technology, India

This paper presents a new approach for solving cluster formation
problems using a linguistic model. The method starts with ahierarchical model in deciding the number of clusters/ machinegroups. The solution is further improved by utilizing a genetic
algorithm with the objective of decreasing inter-cellular move interms of bottleneck machines. A unique feature of the proposed
method is that it recognizes the operations sequence of
manufacturing the parts, specified in the process sheets. The
concept of null machine is introduced in the linguistic model tocalculate the dissimilarity index in the form of Levenshtein's
distance. The model developed by the author can be utilized either
for flow type or random job-shop type manufacturing shop, withthe emphasis of minimizing the back tracking. Number of machinegroups can be predefined in the model. The model has beenutilized to partition realistic discrete manufacturing systems forwhich the machine part incidence matrix shows sparse density

Novel Approach for Balancing Manual Automobile Assembly
Based on Genetic Algorithm

Qiuhua Tang1, Zhonghua Xiao1, Yanli Liang1, Mingxing Deng1, Zhongmin
Xi2
1
Wuhan University of Science and Technology, China
2
Technique Center of Dongfeng Peugeot Citroen Automobile Company, China

As one of the key technologies in production process scheduling,
line balancing has played a decisive role in improving productivity
and increasing utilization efficiency. In this work, a novel approachfor balancing manual automobile assembly lines is proposed by agenetic algorithm based framework, where task sequencechromosomes are coded with satisfaction of precedence
constraints and partitioned dynamically under the restricts ofunidirectional stations on assembly line. Furthermore, the initial
populations, chromosome selection schemes for next generation,
crossover and mutation operators are improved subsequently andhence the assembly balancing problem can be solved to the
optimality or near optimality. The computational studies andcomparisons have proven the validity and feasibility of the
proposed approach in automobile assembly production lines.
Multi-objective Particle Swarm Optimization with Negative
Knowledge for U-shaped Assembly Line Worker Allocation
Problems
Ronnachai Sirovetnukul1, Parames Chutima2
1
Mahidol University, Thailand
2
Chulalongkorn University, Thailand

A Single U-shaped Assembly Line (SUAL) is a type of Just-In-Time(JIT) production system where a variety of product models withsimilar product characteristics are assembled. Worker allocation to
the SUAL is crucial to achieve the main benefits of JIT with theminimum of number of workers, equity of workload and theshortest walking time. A novel algorithm, named Particle Swarm
Optimization with Negative Knowledge (PSONK), is proposed tofind the Pareto-optimal solutions for SUAL worker allocation
problems with from seven to two hundred and ninety-seven tasks.
The performance of PSONK are compared with Non-dominatedSorting Genetic Algorithm-II (NSGA-II) against the measures of
convergence, spread, ratio of Pareto-optimal solutions, and CPU
time. PSONK outperforms NSGA-II for most performancemeasures.
Risk Analysis and Response for Flow Construction

Zhiyong Yang1, Zhuofu Wang1, Bingsheng Liu1, Zurong Chen1
1
Hohai University, China

The continuous operation mode of high equilibrium in the flow
construction yields great benefits in lowering the cost andreducing the construction period as well as risks. The change of theconstruction period of any sub-construction will definitely exert a
relatively great impact on the balanced construction of the project.
Through the analysis of Monte Carlo simulation method (MC), theassurance degree of the total duration calculated by using the
traditional method is extremely low; after considering the effect ofseveral kinds of important risks during the flow construction, suchas "Adverse Selection", "Student Syndrome" on the total
construction duration, the assurance degree of the total duration
goes to almost zero degrees. The measures for the corresponding
risks are put forward and their effects are analyzed as well. Afterthe corresponding measures are adopted, the assurance degree ofthe total duration of the project has been greatly increased.

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Session
Date
Time
Room
ChairsSystems Modeling & Simulation (3)10/12/2010
11:00 - 12:30
NAPLES 2602
Young Chel Kwun; Dong Li

A Novel Compatible Runtime Infrastructure under Complex
Environment
Yingchao Yue1, Tiaoyuan Xiao1, Wenhui Fan1, Shucai Tang1, Xin Chen1
1
Tsinghua University, China

Originating in 1980s, distributed simulation has been turned out tobe a powerful tool in scientific research, military simulation andtraining, complex product design and more other fields. However,new problems like limited computational capacity and heavy
communication overhead exist as simulation modeling andcomputation develop. This paper concentrates on these problems,
reviews related work, and proposes two novel ways to improve
traditional RTI (runtime infrastructure) under new application
scenarios (High performance cluster and reflective memory
network). The proposed methods of combining software
improvement and hardware enhancement are demonstrated to beeffective and efficient.
A Reflective Memory Network Based Runtime Infrastructure
Xin Chen1, WenHui Fan1, Yingchao Yue1
1
Tsinghua University, China

In the current distributed simulation system, the real- time
network transmission has becoming increasingly demanded.
However, the traditional physical shared storage and LAN
technology both have some limitations. This paper describes thereflective memory network technology and compares it with thetraditional network transmission technology. In the High Level
Architecture (HLA) applications, Most of the Runtime
Infrastructure (RTI) using LAN cannot satisfy the needs ofreal-time; this paper puts forward new transmission architecture of
RTI based on the reflective memory network which can meet theneed of real-time.
A Performance Comparison between the Extended Kanban
Control System (EKCS) and the Traditional Kanban Control
System (TKCS)
Alvin Ang1, Rajesh Piplani1
1
Nanyang Technological University, Singapore

This paper studies the performance difference of the Extended
Kanban Control System (EKCS) versus the Traditional Kanban
Control System (TKCS). Simulations were run using Arena version
12 for different initial parameter settings and a performanceconclusion done for the Key Performance Indicators (KPI), such as
fill rate and total average inventory.

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Production Simulation using a Distributed Node-Aware System
Haw-Ching Yang1, Z.-B. Wang1, J.-S. Peng1
1
National Kaohsiung First University of Science and Technology, Taiwan

This study proposes a node-aware distributed simulation system
to accelerate production simulation. To optimize the production
simulation performance, this system proposes the performance
survey module and the node invoking module based on a
MapReduce parallel framework to dynamically invoke valuablenodes during simulation. The performance survey module
periodically collects each node performance and ranks the nodes
capability before simulation, and the node invoking module
invokes and evaluates the best nodes from the available nodes
according to survey and current performances for minimizing theoverall simulation time. Experimental results indicate that when
the simulation jobs were distributed to 6 nodes using theframework Hadoop, the average simulation time was reduced
62.3% of time using single node. Moreover, the mean simulation
time was reduced 73.6% when the proposed modules were further
applied.
CAD\CAM System for Formed Turning Tool Grinding
Wei He1, Y. Q. Tan2, Min Ren1
1
University of Electronic Science and Technology of China, China
2
University of Jilin, China

This paper presents the CNC grinding method of formed turning
tool and introduces a CAD\CAM system for formed turning tool
grinding.This system can design cutting edge curve, produce tool
path, construct simulation geometry model, simulate grinding
process, and finally verify generated tool path and produced
formed turning tool.
A Decomposition Based Algorithm for the Scheduling Problem
in Wafer Fabrication System

Hongtao Hu1, Zhibin Jiang1, Chengtao Guo1, Ran Liu1
1
Shanghai Jiao Tong University, China

A decomposition based scheduling strategy is proposed to copewith the complexity of wafer fabrication, such as multi-products,
reentrant process flow and unrelated parallel machines. The
strategy is composed of genetic algorithm and dynamic schedulingrules. First, bottlenecks are detected and classified based on theconstraint weights which are decided by the sensitivity of thesystem performance to the machine's fluctuant availability. Second,a dynamic work in process (WIP) control strategy is used todetermine the dispatching order by adjusting the deviation of theWIP levels to avoid the process fluctuation caused byunpredictable events. Third, a hybrid genetic algorithm (GA) is
used to optimize the dispatching route of the lots. Finally, asimulation platform is developed to validate the effectiveness ofthe proposed method.

Session
Date
Time
Room
ChairsService Innovation & Management (4)10/12/2010
09:00 - 10:30
NAPLES 2701
Bingwen Yan; Hongyi Sun

The Mediating Role of Incubator Capability for the Relationshipbetween Incubator Resources and Incubator Performance
Yanjie Li1, Dechang Lin1, Hongwei Wang2, Qiang Lu1, Hong Yin1
1
Shenzhen Graduate School, Harbin Institute of Technology, China
2
Nanshan Technology Venture Service Center, China

This paper studies the mediating role of incubator capability forthe relationship between incubator resources and incubator
performance. To justify it, a survey is conducted with managers
from 150 incubators in China. Three types of incubator resources
influence the performance respectively through the same variable“incubator capability” but with different mediating effects.
Enhanced User Experience Design Based on User Behavior Data
by Using Theory of Inventive Problem Solving
Song-Kyoo Kim1
1
Samsung Electronics Co., Ltd, South Korea

The paper deals another practical TRIZ applications for
information technologies that is similar with the previous
adaptation. TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch)that is also called TIPS (Theory of Inventive Problem Solving) is amethodology that is the practical innovation tool and themodel-based technique for generating innovative ideas by Genrich
Altshuller. In the other hand, recent trends of improving user
experiences can make consumer electronics to have highperformed features in simple way to access. The key idea of theenhanced user experience is behavior analysis based on the typicalstatistical data that can be gathering during the regular user
operations. This new user interface enhancing technology isdesigned to give simpler user experiences by using TRIZ method.
Towards a Knowledge-based Taxonomy for Value Creation
Patterns in Professional Service Firms: Cases of Law Firms in
People's Republic of China
Jiang Wei1, Jiangqi Zhao1, Yang Liu1
1
Zhejiang University, China

After the transition from service economy to knowledge economy
started, scholars pay more attention to professional service
firms(PSFs) which are knowledge intensive, low capital intensive
and organized by professors[1]. Some researchers focus on theimportant change of value creation patterns in the “Big Four” from1999 to 2001, But these researches can’t explain how the knowledge
is created differently. Based on four cases of law firms in People’s
Republic of China, this paper tries to classify the variety of value
creation patterns in PSFs.

State Space Model Based Dimensional Errors Analysis for Rigid
Part in Multistation Manufacturing Processes
Ying-xue Tong1, Yan Wu1, Bin-kuan Ma2, Faping Zhang3, Jiping Lu3
1
Sha Shi University, China
2
Information Center of Xi'an Dong Fang Group Co,Ltd, China
3
Beijing Institute of Technology, China

Modeling of variation propagation in multistation machining
process is one of the most important research fields . In this paper,a mathematic model to depict the part dimensional variation of thecomplex multistation manufacturing process is formulated. A
linear state space dimensional propagation equation is establishedthrough kinematics analysis of the relationships among of locating
parameter variation, locating datum variation, so the dimensional
error accumulation and transformation within the multistation
process are quantitatively described. A systematic procedure tobuild the model is presented, which enhances the way todetermine the variation sources in complex machining systems.
Finally, an industrial case of multistation machining part in one
manufacturing shop is given to testify the validation andpracticability of the method. The analytical model is essential toquality control and improvement for multistation systems inmachining quality forecasting and design optimization.
Measuring After-sales Service Quality in Automobile Retails: an
Application of the SERVQUAL Instruments
Bingwen Yan1, Patrick McLaren1
1
Cape Peninsula University of Technology, South Africa

This paper reports on a measurement of the service quality withina dealership in the Western Cape Province, South Africa. A casestudy was conducted at the unit using five dimensions of
SERVQUAL to calculate the gap differences between customers'
expectation and perception of staff from the dealership. Various
interviews and a semi structured questionnaire were utilised tocollect the data from the dealer and its customers. The study
analysed the service expectations of the customers. A number ofcustomers' expectations for service quality were applied. Finally,
the dimensions of service quality were analysed throughexploratory factor analysis. The results of the study showed that
service quality at the dealer does not meet the expected standard
and that relationship between customer expectation and staff
perception requires attention. Basically, there are also a number ofconsiderable issues which would form the basis for useful further
research.
Quality Function Deployment of Cement Industry in Pakistan
Khazal Dar1, Muhammad Usama Shairi1, Muhammad Asim2
1
National University of Sciences and Technology, Pakistan
2
Center for Advance Studies in Engineering, Pakistan

This paper aims to provide the quality function deployment of thecement industry of Pakistan. The data was primarily collected fromthe customers, competitors and company's higher authorities
through a questionnaire. For this purpose, different industrial sites
all across Pakistan were visited. The result showed that Fauji
Cement Company Limited (FCCL) has an esteemed place in the
cement industry of Pakistan with some room for improvement in
the private sector. The data collected showed that customers
require good quality and strength with nominal prices. This
analysis signifies what different customers want and also what
they look for in any cement industry.

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Session
Date
Time
Room
ChairsOperations Research (4)10/12/2010
11:00 - 12:30
NAPLES 2701
Rashed Sahraeian; Xiaoming Liu

A Multi-Period Return-Risk Measure Portfolio Optimization
Problem Incorporating Risk Strategies
Hossein Parsa1, Mingzhou Jin2, Xuechun Liang3
1
Mississippi State Uni, United States
2
Mississippi State University, United States
3
Nanjing University of Technology, China

This paper proposes a stochastic program for the portfolio
optimization problem over multiple periods. In addition to
expected returns, the model considers various risk strategies for aninvestor, including short-term and long-term risk controls. The
model could serve as a tool to quantify the impact of different risk
control strategies and allow the investor to limit her risk-aversion
periodically or for the whole investment horizon. Experiments are
conducted to numerically show how the model could be used andto investigate the impact of different risk control strategies.

A Nested Genetic Optimization Algorithm for the Capacitated
Facility Location Problem

Shan Huen Huang1, Pei Chun Lin2, Hou Ip Chan21National Kaohsiung First University of Science and Technology, Taiwan
2
National Cheng Kung University, Taiwan

This paper examines an integrated model to determine strategic
capacitated facility locations based on the view of distribution
center management in the upstream supply chain. The model
incorporates the sub-problems of service flag allocation andvehicle dispatching allocation. This paper proposes a heuristic
nested genetic algorithm which minimizes the total cost while
incorporating consideration of the vehicle drivers’ working time
limitations. Additionally, an experimental application is also
applied to examine the efficiency of the proposed algorithm.
A Weighting Scheme and a Model for Computing Alternative
Pareto Optimal Solutions of Multi Objective Linear
Programming Problems
Yashar Maali1, Nezam Mahdavi-Amiri2
1
University of Technology, Sydney, Australia
2
Sharif University of Technology, IranA new weighted order scheme is presented for finding alternative
Pareto optimal solution of multi objective linear programming
problems. In developing the weighted scheme, a big "M" model is
proposed. We establish some properties of the ordering schemeand the proposed model and show how to determine proper
values of the parameter "M". Illustrative examples are worked out
to show the effectiveness of the proposed approach and thecompetitiveness of the obtained solutions as compared to the ones
obtained by the weighted maxmin and the weighted aggregation
methods.

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Evaluation of the Solution for an Optimal Shelf Allocation for
SPA Retailers
Takuya Suganuma1, Hiroyuki Goto1
1
Nagaoka University of Technology, Japan

This paper examines the accuracy of the solution based on aprevious method for determining optimal display quantities in
shelf space for SPA (Specialty store retailer of Private label Apparel)retailers. Our previous method proposes analytical solutions forparticular cases where there is a gap between the sum of theoriginal demands and the available shelf space. In this paper, we
inspect the precision of the analytical solutions for general cases.
By computing numerical solutions, we compare the results of thetwo methods. If the analytical solutions have higher accuracy for
general cases, optimal display quantities can be obtained only witha small number of parameters.
NonLinear Quintic Schrodinger Equationswith Complex Intial
Conditions, Limited Time Response
Magdy El Tawil1, Hanafy El Zoheiry1, Sherif E. Nasr2
1
Cairo University, Egypt
2
Fayoum University, Egypt

In this paper, a perturbing nonlinear quintic
Schrodinger
equation is studied under limited time interval, complex initialconditions and zero Neumann conditions. The perturbation andPicard approximation methods together with the eigenfunction
expansion and variational parameters methods are used to
introduce an approximate solution for the perturbative nonlinear
case for which a power series solution is proved to exist. Using
Mathematica, the solution algorithm is tested through computing
the possible orders of approximations. The method of solution is
illustrated through case studies and figures.
Scheduling and Planning the Outbound Baggage Process at
International Airports
Markus Frey1, Christian Artigues2, Rainer Kolisch1, Pierre Lopez2
1
Technische Universität München, Germany
2
Université de Toulouse, France

The scheduling of outbound baggage at international airports is achallenging tasks in the airport industry. The issue is to control
the incoming baggage flow in order to balance the workload overthe system. The resource consumption of the different activities,
which have to be scheduled, are depending on the arrival processof the baggage. Because of high complexity we suggest adecomposition heuristic to tackle this problem.

Session
Date
Time
Room
Chairs

Quality Control & Management (4)10/12/2010
09:00 - 10:30
NAPLES 2601
Caiwen Zhang; Shaoxi Wang

Quality Control via Simplex Search-Based Model Free
Optimization for Injection Molding
Xiangsong Kong1, Zhijiang Shao1, Xi Chen1
1
Zhejiang University, China

Injection molding is an iterative manufacturing process entailing
low operational costs. Quality control plays an important role inthis process. To improve the efficiency of quality control measures,
we propose a model-free optimization (MFO) method as areplacement for traditional model-based techniques. The simplex
search method is incorporated in the MFO, and part weight anddimension are separately used as quality indices. Efficientperformance is verified by a number of demonstrative experiments
on an industrial injection molding machine.
Generic Compliance Check Tool in Examining the Conformity ofCompany-Specific Standards to Public Standards
Karen Tso-Sutter1, Lars Karg1
1
SAP Research, Germany

Compliance to standards has always been an important topic inquality management. It is the job of quality engineers to assure that
their organization complies with public standards and is preparedfor future developments. However, the quality models underlying
company-specific and public standards are typically complex andnot necessarily homogeneous. Analyzing and visualizing theconformity of a company-specific standard to a public standard isa challenging task. In this paper, we propose a generic compliancecheck tool to support quality engineers of various industrial
domains in this challenge.
Applying Fast Fourier Transform (FFT) to Statistic Quality
Control
Youxiang Cui1, Jianxin You1, Feng Luo1
1
Tongji University, China

This article presents a FFT method in statistic quality control. Most
previous statistic quality control tools can not analysis the quality
data in both time and frequency. In this paper, the FFT method isused to transforming our view of the quality signal fromtime-based to frequency-based, to provide a basis for current
decision during production as to when to hunt for cause ofvariation and take action intend to correct them, and when to leavea process alone. In spite of the apparent simplicity of the using FFT,the enterprise involved in trying to manage and improve quality
find that it use calls for an entirely new point of view. The article
conclusion proved by a practical example.

SWOT Analysis and the Key Driving Factors as an Indicator of
the Current Situation of CNG Industry of Pakistan
Sahar Tanveer1, Muhammad Asim2
1
National University of Sciences and Technology, Pakistan
2
Center for Advance Studies in Engineering, Pakistan

This paper proposes that SWOT Analysis on a selected sample,
along with the analysis of Key driving factors of an industry canlead to the indication of the level of growth in that industry. A
sample from the CNG Industry in Pakistan has been analyzed inthis research on the above-mentioned methods and it has beenfound that there are some Weaknesses and Threats which can be
neutralized by exploiting the available Opportunities. The paper
also presents a collective Strategy for not only the CNG Industry of
Pakistan but also for other industries in South Asia.
An Evaluation of the Relationship Between Emotional Labor andVolunteers’ Positive Affective Delivery: In Non-Profit
Organizations in Taiwan
Chen-Yang Shih1, PeiWen Liao1, Chung-Hsiung Fang1
1
National Taiwan Normal University, Taiwan

The study used questionnaire survey research to examine therelationships among service training (ST), the frequency ofcontacting difficult customers (FQ)，emotional labor （EL ）andpositive affective delivery (PAD) using a sample of 184 first line
volunteers, and the response rate was 77%. The results revealed
that service training （ST） influenced emotional labor （EL）
positively; frequency of contacting difficult customers （ FQ ）affected emotional labor （EL） negatively; emotional labor （EL）
has a positive effect on volunteers’ positive affective delivery（PAD）. The study discusses the implications for theory andpractices. The results also suggest that focusing on developing
human resource strategies for volunteers could enhance
understanding of how volunteers manage their emotions on duty
and suggestions for the further studies.
Multistage Process Monitoring Using Survival Analysis
Regression Models

Shervin Asadzadeh1, Abdollah Aghaie1, Yaser Samimi1
1
K.N. Toosi University of Technology, IranIn this paper, we consider the monitoring of a multistage process inwhich the outgoing quality attribute is a reliability-relatedcharacteristic. To measure the tensile strength of such quality
characteristics, the process output is commonly inspected underlimited load conditions. As a result, we may encounter censoredobservations which demand a certain monitoring procedure. The
monitoring scheme becomes more complicated when the
censoring occurs due to variable competing risks as well. To
address this critical issue, we propose a regression-adjusted
CUSUM chart to effectively monitor a quality characteristic that
may be right censored because of both fixed and variable
competing risks. The result of a simulation study confirms thesuperiority of the proposed method in comparison with theexisting one. The proposed control chart is applicable not only toreliability measures in manufacturing processes but also to similar
quality indices in service operations such as survivability measuresin healthcare services.

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Session
Date
Time
Room
ChairsEco-system and New Business Model
10/12/2010
11:00 - 12:30
NAPLES 2601
Qiang Lu; Yongjiang Shi

Illustrating the Concept of Business Ecosystem from Views ofBionics and Competitive Network and Related Theories
Jie Hou1, Qiang Lu1, Yongjiang Shi2, Ke Rong2
1
Shenzhen Graduate School, Harbin Institute of Technology, China
2
University of Cambridge, United Kingdom

In this paper we illustrate the concept of business ecosystem bycomparing it with other related concepts from the views of bionics
and competitive network, involving theories of social Darwinism,generalsystemtheory,organizational
ecology,value
chain/network, industrial cluster and strategic alliance. This isaiming to better understand a business ecosystem and its appliedadvantage. The key point is: Business ecosystem is a good
metaphor to demonstrate the growth and development path - birth,
evolution, mutation and others forms for adapting to theenvironmental changes. The discussion is given followed by
implications for future research direction.
Critical Factors for Technology Roadmapping: Case Studies

Jie Hou1, Qiang Lu1, Yongjiang Shi2, Ke Rong2, Qun Lei3
Shenzhen Graduate School, Harbin Institute of Technology, China
2
University of Cambridge, United Kingdom
3
Han's Laser Company, China
1

Through exploratory case studies, this paper identifies the criticalfactors for technology roadmapping in Chinese companies, anddevelops a framework with the relationships between these factors.
This provides a "raodmap" for strategic technology and productplanning.
From Value Chain, Supply Network, Towards Business
Ecosystem (BE): Evaluating the BE Concept's Implications to
Emerging Industrial Demand
Ke Rong1, Jie Hou2, Yongjiang Shi1, Qiang Lu2
1
University of Cambridge, United Kingdom
2
Shenzhen Graduate School, Harbin Institute of Technology, China

Two industrial challenges of uncertainty and interoperability aroseas the new forms of industries structure have emerged. Network
theories are systematically reviewed in three streams of network
structure, network strategy and network evolution in order to findout the current theories' contribution on those two challenging
issues, which include supply chain management (SCM), businessnetwork (BN), global manufacturing virtual networks (GMVN),
strategic alliance (SA), open innovation (OI), industry cluster andindustrial organization (IO). Furthermore, this study also explores
their theoretical relationships with business ecosystem in order tohighlight the research value and gap of business ecosystem, with anovel framework of 6Cs: construct, configuration, context,
capability, context, co-operation.

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Renew Business Ecosystem: A Comparison Study between
Traditional and Shanzhai network
Ke Rong1, Yongjiang Shi1
1
University of Cambridge, United Kingdom

This paper is to explore the companies' strategy on renewing themature business ecosystem by comparing between traditional andShanzhai network. This research started as reviewing companies'
strategy over the industry maturity from three perspectives
including technology oriented, innovation oriented and networkoriented. Then case study method is selected to demonstrate thedetail renewal process of business ecosystem. Two groups of units
are to study: traditional mobile companies' network and Shanzhai
network as a mature business ecosystem. Finally, this paper is to
identify five network strategies to renew the mature businessecosystem including easy solution, platform enabling,
downstream innovation, organization recentralization andregulation adaptation.
Shanzhai (山寨) Manufacturing and its Network Behaviors
Yongjiang Shi1, Ke Rong1
1
University of Cambridge, United Kingdom

The aim of this paper is to explore an indigenous innovation
phenomenon – Shanzhai Phenomenon – emerged in Chinese
mobile phone industry, and to understand its network based
behaviours. Although the Shanzhai Phenomenon emerged fromthe end of 2008, the detailed understandings about its systems andoperational mechanism are still very limited. This research
provides a very early stage of observation, especially focused on
the business networks activities featured within the Shanzhai
phenomenon.
A New Operations Model of Logistics Service Providers:
Evidence from EA Company
Xiaoling Zhang1, Qiang Lu1, Cai Wen Zhang2
1
Shenzhen Graduate School, Harbin Institute of Technology, China
2
Sun Yat-sen University, China

With a trend of supply chain integration (SCI) on the one hand andmore use of logistics service providers (LSPs) on the other hand,
supply chain service provider (SCSP) is emerging for higher
degree of integration and optimization of the whole chain. In thispaper, we first develop the concept of SCSP based on literature
review, and then conduct a case study (EA Company, a successfulSCSP in China) to illustrate the operations model of SCSP. The
proposed operations model consists of six dimensions: (1)horizontal and vertical integration; (2) non-asset-based; (3) charge
mode; (4) information technology; (5) finance support; and (6)brand effect. These dimensions can differentiate SCSP fromtraditional LSPs.

Session
Date
Time
Room
ChairsReliability & Maintenance Engineering (2)10/12/2010
09:00 - 10:30
SICILY 2502
Zhixin Yang; Young C. Park

Recent Trends in Systems Performance Monitoring & Failure
Diagnosis
K P Ramachandran1, Khalid Fathi1, B K Nagaraja Rao2
1
Caledonian College of Engineering, Oman
2
COMADEM International, United Kingdom

Modern engineering systems are becoming increasingly complex,
sophisticated, demanding and globally distributed. Maintaining
and sustaining such systems healthy, reliably, safely wherever andwhenever needed efficiently and economically is a challenging
task facing the 21st century. It is gratifying to note that significant
advances are being made by researchers from academia, public
and private R & D establishments, hardware/software vendingorganizations, professional and ISO to resolve a number ofproblem areas facing industrial sectors in maintaining theirvaluable assets. This paper presents some of the recent trends inthe fast-growing holistic, proactive-based and topical area ofsystems performance monitoring and failure diagnosis.
Energy Consumption Modeling for Machine Tools After
Preventive MaintenanceJihong Yan1, Dingguo Hua1
1
Harbin Institute of Technology, China

Energy consumption of a machine tool increases dramatically as
reliability decreases, which indicates performance degradation.
From the perspective of near-zero downtime and energy
conservation, preventive maintenance is usually carried out. This
research aims at modeling the energy consumption of machine
tools after they are maintained preventively. The relationshipbetween reliability and energy consumption is modeled based on
historical data and then the energy consumption of a machine toolis calculated. Reliability is modeled by Weibull distribution, theparameters of which are estimated utilizing the Maximum
Likelihood Estimation method. Reliability after preventive
maintenance is modeled by employing Malik's Proportional Age
Reduction model. The carbon emission is assessed referring to thestandard developed by the Climate Registry in North America.
Reliability Optimization Model of Standby Phased-mission
Systems Based on BDD
Tao Hu1, Jian Yu1, Jian-Jun Yang1, Ming-en Sheng2
1
Naval University of Engineering, China
2
Naval 702 Factory, China

Phased-mission system is a kind of broad exist complex system. It
has important reference value to research the reliability
optimization of this kind of system. For reliability optimization
problem of standby phased-mission systems, a method adopts
modular fault tree and modular BDD to describe structure ofstandby system is proposed. The reliability compute method ofstandby sub-system in phased-mission systems is given, and put
forward reliability compute model of the whole standby
phased-mission systems. Based on this, taken mini-cost as
objective to build reliability optimization model of standby
phased-mission systems, and used particle swarm optimization tosolve the model. The case validates the model's rationality and thearithmetic's validity.

Boundary-approaching Particle Swarm Optimization in
Reliability-based Design Optimization
I-Tung Yang1, Yi-Hung Hsieh1
1National Taiwan University of Science and Technology, Taiwan

The purpose of reliability-based design optimization (RBDO) is tofind a balanced design that is not only economical but also reliablein the presence of uncertainty. Practical applications of RBDO
involve discrete design variables, which are selected fromcommercially available lists, and non-smooth (non-differentiable)
performance functions. The proposed PSO algorithm extends
standard PSO to include a new feature: boundary-approaching.
The proposed boundary-approaching PSO algorithm (B-PSO) is
used to find the optimal design of a ten-bar truss, whose
component sizes are selected from commercial standards, while
reliability constraints are imposed by the current design code. In
multiple trials, the B-PSO algorithm is able to deliver competitive
solutions with consistency.
An Imperfect Process Strategy for a Repairable Product with
Production Correction and Maintenance
Gwo-Liang Liao1, Yar-Tin Chang2, Bor-Ling Shaw3, Hung Yu Huang1
1
National Taitung University, Taiwan
2Tian-Mu Junior High School, Taiwan
3
China University of Science & Technology, Taiwan

In imperfect production processes, this paper considers production
correction and maintenance to break away out of control state.
Production processes are classified into two types of state: one is
the type I state (out-of-control state) and the other is the type II
state (in-control state). The type I state involves adjustment of the
production mechanism. Production correction is either imperfect;
worsening a production system, or perfect, returning it to"in-control" conditions. After N type I states, the operating system
must be maintained and returned to the beginning condition. At
the beginning of the production of the each renewal cycle, the stateof the process is not always to be restored to "in-control". The total
cost until "in-control" state, is determined. The existence of aunique and finite optimal N for an imperfect process under certain
reasonable conditions is shown. A numerical example is presented.
A General Framework to Make A Sequential Preventive
Maintenances Decision Using Proportional Hazards Model(PHM)
Ping Jiang1, Ming Zuo2, Jae-Hak Lim3, Bo Guo1
1
National University of Defense Technology, China
2
University of Alberta, Canada
3
Hanbat National University, South Korea

Preventive maintenance is required for many important systems as
failure occurrence results in great loss. Therefore, a sequential
preventive maintenance decision procedure is proposed tomaintain the hazard rate below the predefined level. A scheduled
replacement with lower cost than failure replacement is required
after several preventive maintenance actions. The time points(durations) for preventive maintenance and the scheduled
replacement is determined by a proportional hazards model(PHM). The number of preventive maintenance is determined by
the ratio of the average cost over the average lifetime. A Weibull
lifetime system with known parameters is illustrated to carry out
the proposed preventive maintenance decision procedure.

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Session
Date
Time
Room
ChairsReliability & Maintenance Engineering (3)10/12/2010
11:00 - 12:30
SICILY 2502
Ramachandran K P; Mohammad AlDurgam

Reliability Model of Multiplatform Phased Mission System
Based on CPN
Chun-Hui Yang1, Jian-Jun Yang1, Peng Dong1, Ming Li2
1
Naval University of Engineering, China
2
China Shipbuilding Industry Corporation, China

Sub systems of complex system or platforms under network
centric warfare (NCW) condition are required to work
collaboratively in order to achieve an overall mission objective. It isvery difficult to model and analyze the reliability of this kind of
multiplatform phased mission system (PMS). At first, this paper
sums up the characters of multiplatform PMS, and then put
forward the method of mission representation, which can translate
the multiplatform PMS into a PMS with single platform. The
simulation is the best way to research the mission reliability ofmultiplatform PMS after contrasted other analytic method.
Colored Petri Nets (CPN) is used to constructing the 3 levels
framework of simulation model of multiplatform PMS. Bytransferred the multiplatform PMS into the initial token of CPN
model, the reusability is hugely improved. The CPN model isdemonstrated and validated by a simple example.
Machine Condition Monitoring and Fault Diagnosis based on
Support Vector Machine
Jianhua Zhong1, Zhixin Yang1, Seng Fat Wong1
1
University of Macau, Macau

Machine monitoring and fault diagnosis has been proven to be a
key technology preventing malfunction and failure of criticalmachinery. This paper proposes a fault diagnosis method based onfeature extraction technique, distance evaluation technique, andespecially the support vector machines (SVMs) ensemble. The
methodology consists of three major processes. Firstly, the featuresof raw monitoring data are extracted through the wavelet packet
transform (WPT), and reduce searching space via applying the
proposed time-domain statistical features. Secondly, thecompensation distance evaluation technique is applied to selectoptimized set of features through sensitivities ranking process.
Finally, the selected features are input into the SVMs which could
identify the prevailing faults of rotating machinery. The
experiment study on gearbox shows that the SVMs based method
could reliably recognize not only different faults styles andseverities but also the compound faults in high accurate rate.
Improving Healthcare Reliability by Integrating Six-sigma in a
Business Process Modeling and Analysis Strategy
Zied Ben Atallah1, Amar Ramudhin11École de Technologie Supérieure, Canada

Six-sigma methodology provides real and concrete results inhealthcare systems by mitigating and eliminating variations in
critical processes. However, using Six-sigma alone in complex
environments can lead to unproductive and inefficient work due toa misunderstanding of the process interactions. Combination ofboth business process modeling and six-sigma helps achieve ahighly reliable, customer-oriented and process-based healthcare
system. Business process modeling allows a deep understandingof complex care pathways and helps in identifying those pathways
which are critical to the patient. Six-sigma methodology on theother hand helps to improve the reliability and minimize the risks
in the critical patient pathways. While the literature is full ofstudies and examples of the individual techniques for improving
healthcare services there is little evidence on the best way of
combing these tools to accelerate improvement programs. This
paper presents a framework which will provide guidance tohealthcare organizations seeking a sustainable strategy for
operational excellence with a high-level of process reliability byintegrating both Six-sigma tools and a business process modelingtechnique.

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Optimal Maintenance Policy for Three-States POMDP with
Quality Measurement Errors
Mohammad AlDurgam1, Salih O. Duffuaa1
1
King Fahd University of Petroleum and Minerals, Saudi Arabia

Partially Observed Markov Decision Process (POMDP) has beenused to model decision making under uncertainty in a wide
spectrum of applications. A few areas of application include:
manufacturing, healthcare, business and military applications. In
the POMDP context, systems are considered as multi-state systems
with hidden states. The common thing among all POMDP models
is the existence of measurements utilized to infer about the actual
hidden state of the system on hand. However, measurements, ingeneral, are not error free. The impact of measurement errors on
the POMDP optimal decision polices is formulated and studied fora three-state deteriorating machine with two quality outcomes andpossible quality measurement errors. The decision making
problem is modeled as a Three-Layers Hidden Markov Decision
Process (TLHMDP). The objective function of the POMDP problem
is shown to be a piecewise linear convex one. The impact ofmeasurement errors in the POMDP context is demonstrated bynumerical example.
Application of Accelerated Failure Model for Oil and Gas
Industry in Arctic Region
Abbas Barabadi1, Javad Barabady1, Tore Markeset2
1
University of Tromsø, Norway
2
University of Stavanger, Norway

The development of offshore energy resources involves highly
complex and extensive technological processes. Therefore all
relevant factors which can affect equipment performance andsafety must be identified and quantified exactly. This is morecritical when the design is going to be established for a new
operational environment such as the Arctic region with newchallenges. There are a few data and little experience available
regarding operation equipment in the offshore oil and gas industry
in the Arctic region. However, the oil and gas industry has
established regular programs such as OREDA (Offshore Reliability
Data), in order to collect reliability data. Using this type of data,collected from similar systems but under different operational
environmental locations, in designing processes for the Arctic
region may lead to incorrect design. This may increase risk withrespect to Health, Safety and Environment (HSE) or/and increase
costs. Therefore, the available data need to be consideredaccording to the environment condition. According to the existing
literature, an accelerated failure time (AFT) model is a usefulapproach in order to consider the effect of the operational
environment on the performance of equipment. The aim of thispaper is to develop a methodology in order to predict thereliability of equipment in the Arctic region using an accelerated
failure time (AFT) model. An illustrative numerical example isused to demonstrate how the model can be applied in a real case.
Assurance Technologies for Electric Point Machine Controlled
by Optical LAN

Yoshiyuki Hirano1, Gen Kogure1, Shinichi Ryoki1, Tadao Miura1, Takashi
Kunifuji1, Yuichiro Den1
1
East Japan Railway Company, Japan

When an interlocking device is improved, a large number of signal
cables have to be re-laid and wiring connections must be
confirmed. There are possibilities of wiring errors in the
improvement of the interlocking device. A railway signal control
system using an optical LAN is developed for the purpose of
reduction of signal cables and wiring work. This system controls
signaling devices by transmitting digital information through an
optical network, and it has a method of system configuration to
make the system more flexible and secure.
In this paper, we introduce development of electric point machine
controlled by Optical LAN, and describe assurance technologies
used for this system.

Session
Date
Time
Room
ChairsGlobal Manufacturing & Management (1)
10/12/2010
09:00 - 10:30
SICILY 2402
Yong-Zai Lu; Sue Morton

Implementation Framework for Collaboration in a
Non-Hierarchical Business Network

Ahm Shamsuzzoha1, Timo Kankaanpää1, Luis Carneiro2, Petri Helo1
1
University of Vaasa, Finland
2
INESC-Porto, Portugal

The growing trend of business collaboration exerts an extra
pressure on global business communities. This collaboration canbe evolved in the form of hierarchical and no-hierarchical. In thisresearch, we have considered non-hierarchical collaboration,
where manufacturing organizations especially small and medium
enterprises (SMEs) enjoy equal power and freedom within their
networks. In order to develop such a collaborative network, SMEs
need to adopt different procedural steps such as build, qualify,
form, operate and dissolve. In such circumstances, we haveproposed an implementation framework or methodology in thisarticle with the view to demonstrate the logical approaches to theformation of a virtual organization (VO) within a business
community. The formation of this collaborative network is
implemented for a complex engineer-to-order (ETO) product. The
common goals and understanding of the successful
non-hierarchical business collaborations and future research
directions are also concluded within the scope of this paper.
The Investigation on Research Opportunities for the
Applications of the Internet of Things in Semiconductor Wafer
Fabrication
Yong-Zai Lu1
1
Zhejiang University, China

Based on the state-of-the-art technologies of the Internet of Things(IOT) and Radio Frequency Identifier (RFID) this paper introduces
the concepts of IOT/RFID and investigates its open research
opportunity and potential applications in real-time monitoringand dispatch controls for semiconductor wafer fabrication (FAB).
Engineering Portal with Coordination Mechanism for
Collaborative Product Development

Zhixin Yang1, Jie Zhou1
1
University of Macau, Macau

In nowadays, product development processes become very
complicate in terms of product complexity, global manufacturingand management. Engineering portal, which integrates the
distributed application servers in web environment, is proven to beable to support collaborative product development. This paper
introduced a four-tiered client/server engineering portalarchitecture, which allows task analysis, data sharing, andcollaboration among team members in an internet platform. A
complex operation request could be decomposed into several
discrete tasks, which could be partitioned into corresponding task
groups with different internal interaction relationship via design
structure matrix analysis method. The application tools areregistered with the co-ordinator via establishment of registry. The
association between tasks and application tools is managed by the
proposed coordinate mechanism, which enable users to access thecorresponding tools over internet. Manufacturing enterprises
could therefore effectively collaborate with their partners global
widely.

Analysis of Green Product Knowledge, Green Behavior andGreen Consumers of Indonesian Students (Case Study for
Universities in Surabaya)
Togar Panjaitan1, I Nyoman Sutapa1
1Petra Christian University, Indonesia

Nowadays, environmental damages become hardly to be solved. It
happened by many factors like lack of information about green
products, human lifestyle that unaware or even don’t care about
the environment, and there’ still paradigms that green product orgreen consumerism aligned with high cost. This study shows thatstudents have sufficient knowledge related to green products.
Green behavior of students is tends to improve by start from a
simple things in their daily activities. In other hands, wheneverdecide to buy products; not all those students aware with green
products in order to make them adopt green lifestyle. The students
with high financial capability are more aware buy green products
than others.
Job Characteristics, Work Commitments, and Job Satisfaction of
the Thai Workers in Taiwan
PeiWen Liao1, FurHsing Wen2, Chin-Cheh Yu1
1
National Taiwan Normal University, Taiwan
2
Soochow University, Taiwan

This paper describes the variables of job characteristics, workcommitments and job satisfaction. We studied 400 Thai employees
in Taiwan. AB people are moderators, and that Type A people areeasily irritated, highly competitive, and are always in a hurry. Job
characteristics do not affect job satisfaction, but workcommitments affect job satisfaction.
Flexible Management of Resource Service Composition in Cloud
Manufacturing
Lin Zhang1, Hua Guo1, Fei Tao1, Yongliang Luo1, Nan Si1
1
Beihang University, China

With the development of microelectronics, computer technology,
information technology, and intelligent of machinery and control
equipment, the flexible manufacturing technique has become oneof the key developing directions for advanced manufacturing
technology. The cloud manufacturing (CMfg), which is a newgeneration service-oriented networked manufacturing model, canprovide the users distributed in different places with the
manufacturing resource and manufacturing ability services
through the centralized management. In order to improve thequality of resource service optimal-allocation and cope with theflexible issues in CMfg, this paper investigated the definition andclassification of flexibility in the whole life-cycle of resource service
composition in CMfg, and the related factors in life-cycle ofresource service composition were analyzed. The flexible
management architecture for resource service composition in
CMfg was designed. The key issues and their solutions in flexible
management of resource service composition were preliminarily
discussed.

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Session
Date
Time
Room
ChairsGlobal Manufacturing & Management (2)10/12/2010
11:00 - 12:30
SICILY 2402
Anil Varma; Ahm Shamsuzzoha

A Measure to Estimate the Novelty of Component Combinationsin Technologies
Toru Takahashi1, Tomoko Saiki1
1
Tokyo Institute of Technology, Japan

We propose a measure to estimate the novelty of component
combinations included in technologies. We used the International
Patent Classification (IPC) included in patent publications as
proxies of technology components. We analyzed the inventions
related to photocatalysts of granted and rejected patentapplications filed with the Japan Patent Office. We calculated thenovelty of component combinations (NCC) value using IPCs. We
conducted comparison studies of NCC values between patentpublications before and after 1994, the year in which scientificphenomenon in photocatalysts was discovered, and those between
granted and rejected patent applications. As a result, the NCC
values of patent publications were demonstrated to be different
before and after this discovery and also between granted andrejected inventions.
Green Manufacturing Using Integrated Decision Tools
Clifford Chan , K.M. Yu , K.L. Yung
1
Queensland University of Technology, Australia
2Hong Kong Polytechnic University, Hong Kong
1

2

2

Manufacturers are now facing common problems ofenvironmental impact from the local society, green regulation,
green product and factory operation in developing countries like
China. Water, noise and air pollutants are significantly
environmental issues from arise not intense environmentallyconsciously manufacturing. This paper presents to use integrated
decision tools to assist stakeholder to determine how to become
green manufacturing. This research highlights the need for amore effective decision support tools that will collect data, analyze
and provide solution to stakeholder. Overall, a variety of decision
support system, expert system, and design for environment (DfE)
methods are available; however they limited in their applications
to solve green manufacturing problems. With the availability offaster and more user-friendly computers and sophistical software,it has been possible to use simulation modeling to investigate theparameter effectively. Furthermore, this research will also be
developed a measure of model to provide a unique framework forinvestigating the green manufacturing by integrated decision tools.
Partner Selection of Chinese Firms’ in Cross-boarder M&A:
Perspectives From Complementary Assets and Global Value
Chain
Xiaobo Wu1, Xi Yang1
1
Zhejiang University, China

Choosing a target firm in M&A is always challenging, since it
greatly affects post-acquiring performance. This paper analyzes
three overseas M & A cases presented firms positioned in upstream,
midstream and downstream sections of global value chain, theresult showed each company have different focus while selecting
target firms: technology-based enterprises which positioned in
upstream of global value chain often emphasize on technology
capability of the target company; firms in the midstream intend to
expand to both ends of global value chain: technology and brandextension; occupied in downstream of global value chain often
focus on marketing capabilities and brand influence.

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Study on The Utility Model and Utility Equilibrium of Resource
Service Transaction in Cloud Manufacturing
Ying Cheng1, Fei Tao1, Lin Zhang1, G. H. Xi2, D. Zhao3
1
Beihang University, China
2
Wuhan University of Technology, China
3
The University of Michigan-Dearborn, United States

As a new service-oriented network manufacturing model, cloud
manufacturing (CMfg) can accelerate the transformation fromproduction-oriented to service-oriented manufacturing. Study ofresource service transaction (RST) is one of the key issues that
deciding the practical application of CMfg. In this study, thecomprehensive utility models considered the revenue, time, andreliability for the three sides, i.e., resource service provider (RSP),
resource service demander (RSD), and resource service agent(Agent) in the RST process in CMfg under the decentralized
decision-making condition are first established, respectively. Thenthe comprehensive utility model for the RST chain (RSTC) of"multiple RSP-one Agent-multiple RSD" under the centralized
decision-making condition is proposed and discussed. The
existence of utility equilibriums between RSP and Agent, Agentand RSD are proved in the optimal decision of the RSTC under thedecentralized decision-making condition.
Multi-layer Analysis of Relationships within Production
Networks: A Case Study of the Huangyan Mould Cluster in
China
Lubin Wu1, Yongyi Shou1
1
Zhejiang University, China

A production network involves inter-firm cooperation within the
manufacturing sector and gradually becomes the mainstream
production mode nowadays. This paper explores a framework thatcombines the dimensions of network layers and relationship styles
to better understand relationships in production networks. The
Huangyan mould cluster is selected as a case and relationships
between mould producers and other cluster players have beenstudied to test the proposed framework.

Session
Date
Time
Room

Poster Session 3
10/12/2010
All-Day Display
SICILY 2501

Elucidating the Supplier Integration Spectrum on Strategic
Supplier Selection Problem Using an Integrated Fuzzy Approach
Chun-Ying Shen1, Kun-Tzu Yu2, Chi-Ho Chiou1
1
Ching Yun University, Taiwan
2
Tzu Chi College of Technology, Taiwan

The majority of the existing supplier selection (VS) approaches
obtained their optimal solutions based on the operational metrics.
This study considers the supplier integration spectrum (SIS) tosecure the efficacy of VS. This work adopts supplier's processcapability indices and process yields as operational (hygiene)
criteria to estimate their quality capabilities. The businessprocess-oriented criteria are employed as the strategic (motivation)
criteria. A fuzzy approach with SIS consideration is employed to
select supplier. An empirical case study is then performed todemonstrate the efficacy of the proposed system. The case study
provides interesting managerial implications.
A System Dynamic Model for an Open-loop Reverse Logistic
ChannelChuang-Chun Chiou1
1Dayeh University, Taiwan

The purpose of this study is to analyze the external and internal
factors influencing the system behaviors and the collection andremanufacturing capacity planning issues in an open-loop reverse
logistic channel via a system dynamic model. The external factors
include legislation (subsidy provided by the government), quality
level of the used products collected, and the demand patterns of
the secondary market; while the internal factors include theadjustment of the capacity of recovery facilities. The constructedsystem dynamic model can be effectively used to analyze andevaluate different policies which affect the capacity planning forthe reverse logistics system.
Multiobjective Hybrid Genetic Algorithm for Reverse Logistics
Network Design of Inventory Systems with Backordering
Jeong-Eun Lee1, Kyong-Gu Rhee2, Hee-Hyol Lee1
1
Waseda University, Japan
2
Dongeui University, South Korea

The reverse logistics is the process flow of used-products that arecollected to be reproduced so that they can be sold again tocustomers after some processing. Within this perspective, we
formulated a mathematical model of the reuse system as a reverse
logistics with two objectives functions: one is minimizing cost ofreverse logistics network problem, (i.e. transportation cost,disposal cost, purchase cost and inventory holding cost) another isjust-in-time delivery, and minimizes the costs of backorders andinventories in manufacturer in all periods. This paper proposes a
new multiobjective hybrid genetic algorithm approach, and shows
how the performance of multiobjective genetic algorithm can be
improved by hybridization with Fuzzy Logic Control (FLC). In theexperimental results comparing CPLEX, pri-awGA (priority-based
adaptive weight Genetic Algorithm) and mo-hGA (multiobjective
Hybrid Genetic Algorithm), we demonstrated the effectiveness of
mo-hGA such as shortness of computational time and better
solutions.
Study of the Performance of Reverse Logistics for Supply Chain
Management
Chia-Ching Tu1, Shu Hsuan Chang1, Chia-Jung Tu2, Andrew C. H. Lee3
1
National Changhua University of Education, Taiwan
2
Kainai University, Taiwan
3
Chihlee Institute of Technology, Taiwan

Globalization enables many high-tech manufacturing firms to havemore reverse logistics demand; reverse logistics is further
complicated when operating in a multinational setting. High-tech
manufacturing firms thus must have an adequately large in-house
fleet size as well as warehousing and advanced IT management
systems to accommodate this unpredictable and large demand inreverse logistics. This study focuses the role, challenges andmanagement level of the case study company in the reverse
logistics of the supply chain. Also, it reviews the performance andrelated data, and sets up the development strategy of the casestudy company of reverse logistics.

Clustering Spanish Households E-Waste Disposal Behavior
Using Self-Organizing Feature Maps

Sebastián Lozano1, Jorge Esparza1, Belarmino Adenso-Díaz2, José ManuelGarcía1
1
Universidad de Sevilla, Spain
2
Universidad de Oviedo, Spain

In this paper a Self-Organizing Feature Map (SOFM) is used to
identify clusters of similar respondents to a survey of Spanish
households on their behavior and habits with respect to theEnd-of-Life of electric and electronic products. The survey covered
six common appliances and included more than twenty questions
regarding the number of units in use, duration of previous
appliances, reasons for buying each new appliance, details of thehandling of the discarded appliances, etc as well as information onsocio-demographic factors of respondents. Since most of thequestions were of a discrete type the answers needed acoding/pre-processing phase. The SOFM approach considered arectangular grid and in the case of all six appliances identified fiveclusters of respondents whose characteristic features wereanalyzed from the cluster prototypes provided by the SOFM.
Measurement of the Integration Level of Supply Chain Based onComplex Network
Bo Shu1, Hao Chen1
1
Yanshan University, China

The paper introduced the complex network theory into supply
chain research, and set up the model of the integration level ofsupply chain. Firstly, the paper looked back related researches
about complex network and measurement of integration level ofsupply chain. Secondly, the paper put forward features of supply
chain network: directed graph; nodes increased randomly but
asymmetrically; and preferential attachment of nodes in locality.
Thirdly, on the foundation of analyzing impact factors of supply
chain complex network integration, built up evaluation modelaccording to the statistics property of complex network, finally
executed example calculation and conclusion.
Impact of Financial Crisis on Performance of Listed Logistics
Companies: Evidence from China
Xin Li1, Xiaobo Zhu2
1
Chongqing University of Technology, China
2
Bridgestone Europe NV/SA (Belgium), Belgium

The financial crisis is presented around the world and has affected
China economy indirectly. The objective of this article is to study
the impact of the crisis on performance of listed logistics
companies and finds out what field it affects. In this article, we take
64 listed transportation & ware-housing companies as research
objects. Applying factor analysis and Wilcoxon rank test, we findthat the impact of financial crisis on performance of listed logistics
companies does exist.
Optimizing Feeder Arrangement of a PCB Assembly Machinefor Multiple Boards
Yongzhong Wu1, Ping Ji2
1
South China University of Technology, China
2
The Hong Kong Polytechnic University, Hong Kong

In a high-mixed production environment, printed circuit board
manufacturers face the challenge of frequent setups which involve
rearranging the feeders on the machines. To reduce the setup cost,different boards can be assembled with a common feeder
arrangement. This paper focuses on the optimization problems
arising in this situation. Decisions are to be made on how different
component feeders are arranged on the machine considering thestructure of different boards, and the component placement
sequence for each board. While the feeder arrangement problem
and the placement sequencing problems can be solved iteratively
for the sake of simplicity, these problems should be solved
simultaneously so that an optimal solution can be found. This has
been verified for the sequential pick-and-place machine bymathematical models established and computational experiments
conducted in this research. Future research should incorporate
different machine types and allow for feeder duplicates on thefeeder carrier.

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Study on Subsidy Policies of Waste Recycling
Tao Zhao1, Mali Zong1
1
Tianjin University, China

We analyze optimal recycling quantity of waste where production
consisting of two modes of production, manufacturing with virginmaterial and with recycled material. We develop a differential
dynamic model of recycling in which accumulated wastequantities depend on instantaneous waste disposed and waste
degradation rate. We find that market demand increasing will leadto the increasing of accumulated waste quantities and recycling
rate. Based on this conclusion, we propose subsidy policy insteadof tax policy to stimulate firm to produce using recycled material.
Two ways of granting subsidy have been studied in this paper,
which is subsidy on remanufacture cost and subsidy on collection
cost. Study result shows that the amount of subsidy on collection is
only half of that on remanufacture under obtaining the sameamount of accumulated waste.
Linguistic Set-Valued Decision Making Based on LWA Operator
Xuezheng Zhang1, Qian Zhu1, Zheng Pei1
1
University of Xihua, China

In linguistic group decision analysis, we need to solve groupdecision making with uncertain linguistic information. By
analyzing many illustrative example, we notice that not all of
linguistic values of the initial linguistic expression domain areused to evaluate decision making problem. From the decision
making point of view, linguistic values used by experts havepriority over others linguistic values in evaluating results ofalternatives. In this paper, we formalize the priority as priority
weight vector of linguistic values, and propose a new linguistic
weighted aggregation operator (LWA operator) to aggregate
linguistic set-valued, in which, two weight vectors (weight vectorof experts and priority weight vector of linguistic values) areconsidered in LWA operator, its properties show that LWA
operator is generalization of many existed linguistic aggregation
operator. By an illustrative example, we show that LWA operator
can help us to gather more information to linguistic set-valued
decision making.
Empirical Research on the Relationship between Managerial
Ownership and Earnings Quality in China
Zhijun Zhang1, Zushan Wang1
1
Wuhan Institute of Technology, China

In order to research the relationship between managerial
ownership and earnings quality in China, the article researches thefinancial data of Chinese listed firms by using the abnormal
accrual model and adjusted Jones model, we find that managerial
ownership influences earnings quality by firm's accounting choices.
The empirical research shows that the distribution between ofmanagerial ownership and earnings quality is a U-shaped curve,and concentrated managerial ownership is helpful to enhance theearnings quality.
Influence Factor Analysis of Product Development Process
Kunlun Zhang1, Bo Guo1
1
National University of Defense Technology, China

In the product development process considering design iteration,
it's more difficult to reflect interrelationship between variables
with simulation analysis. Especially there is no certain function
expressing the effect of parameter interrelationship on the productdevelopment time. The existence of iteration complicates the
structure of analytic model, and the metamodel can simplify the
problem and reduce the costs. The paper analyzed the impact ofthe parameters on average completion time of productdevelopment in design structure maxim by building themetamodel, and identified the main impact factors.
Real-Time Scheduling Method for Steelmaking-Continuous
Casting
Kai Chen1, Zhong Zheng1, Yi Liu1, Xiaoqiang Gao1
1
Chongqing University, China

In this paper a real-time scheduling method forsteelmaking-continuous casting is proposed to improve theflexibility of scheduling. A directed network model is used todescribe steelmaking-continuous casting process considering
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122 122status of workstations and logistics. First, disturbances including
four major kinds are advanced to motivate real-time scheduling insteelmaking-continuous casting process. Second, rescheduling
during production process is driven by disturbances mechanism
and recalculated by backward and hybrid intelligent algorithm. A
real-time scheduling system based on this method is established,and verified by a production plan of eight hours. The result showsthat it's efficient to real plant production.
Effective Design of Production Systems
Vladimir Srajer1, Antonin Miller1
1
University of West Bohemia, Czech Republic

At the present time, when the market is mostly saturated andsupply is higher than demand, if a company wants to be successful
it must find competitive advantages, such as low price, shortest
delivery time and the required level of quality. One way ofachieving these benefits is to find the best design for amanufacturing layout. This article contains proposition a modified
procedure for the design of production systems, which shows thesequence of the steps which should be fellow by designer of the
production system. This article is focused on problems of theacceptable proposition of the layout of production system in theterms of optimization material flows, balancing of resources andresources capacity.
A Comprehensive Assessment Method for Reliability
Enhancement Testing Based on D-S Theory of Evidence
Junbo Wan1, Tongmin Jiang1, Xiaoyang Li1, Xi Liu1
1
Beihang University, China

In this paper the Dempster-Shafer theory of evidence is utilized incomprehensive assessment of the reliability enhancement testing(RET). The basic concept of the D-S theory and the rule ofevidence-combination are introduced. Moreover, the approach tothe assessment of the RET utilizing the D-S theory of evidence ispresented. Firstly a recognition frame for all possible effects of RET
programs on the product's reliability is established. Secondly every
test program is regarded as a piece of evidence and thecorresponding evidence body is set up. Finally all evidence is
combined according to the D-S rule of combination. In addition, an
example is presented to verify this method. It is proved that thisapproach should increase the accuracy of the comprehensive
assessment of RET and may be useful in engineering.
Prediction of Service Life of Pre-stressed Concrete Bridge byFault Tree Analysis Model
Xiongjun He1, Phan Anh Nguyen1
1
Wuhan University of Technology, China“ Fault Tree Analysis” uses the logical model and mapping
methods to analyse, calculate or estimate the probability ofphylogenetic. Thus, the reliability of the system, safety and risk
could be assessed. They have been widely used in system’s
reliability study and to quantify the correlation of potential risk ofthe system. In the existing of reliability analysis, the time factor
generally doesn’t need to be taken into account. However,composition properties of the materials decrease would lead to the
reduction of the level of structural reliability. Therefore, structure’s
reliability is actually an amount of time-varying. Comprehensive
consideration of the above factors, the analysis of a variety offactors will impact on the service life of pre-stressed concrete
girder bridge, to build bridge structure analysis model. From thecalculation of timevarying structure system’s reliability, the service
life of bridge could be evaluated to find safety and reliability ofstructure.
Risk Evaluation of NC Machine Tools Based on Fuzzy Weighted
Geometric Mean
Guixiang Shen1, Shaohua Fan1, Yingzhi Zhang1, LingHui Wei1, YaZhou Jia1
1
Jilin University, China

According to the data collected from 23 NC machine tools from
one type, based on the fuzzy FMEA model, a Failure modes
Analysis have been carried out. Fuzzy linguistic variables wereintroduced into the analysis, and the three risk factors were given
different weights, Each FRPNs of the failure modes were
calculated by linear programming, and then the failure mode
which influence the NC lathe the most have been pointed out, thisresults can provide useful basis on how to eliminate these failure
models and how to improve the reliability of NC machine tools of
this type.
Study on the Integral Reliability of Jinping First Stage HighArch Dam-Foundation System

Yazhou Jiang1, Lanyu Xu2, Qingwen Ren1, Wei Xu1
1
Hohai University, China
2
Nanjing Yangtze Water Resources Automation Technology Development Company,
China

As it is not enough to assess the integral reliability of the complex
3D high arch dam-foundation system just from local damage in thedeterministic analysis, the improved response surface method isfirstly introduced to get the failure possibility of individual
uncertain factor, and then PNET method to fix the integral
reliability considering several uncertain factors. Then the main
works are presented as following: (1) find out the main individual
failure modes; (2) establish the limit state functions of the main
individual failure modes respectively; (3) fix the relevance among
the main failure mode and calculate the integral reliability.
Finally the results are used to assess the failure possibility andintegral reliability of Jinping high arch dam-foundation system.
Reliability Assessment for Product with Wiener Process
Degradation Based on Marker Data
Baohua Peng1, Jinglun Zhou1
1
National University of Defense Technology, China

Reliability assessment method based on performance degradation
data has been proven to be useful when dealing with products
characterized as long-life and highly reliable. However, thismethod can hardly be applied when measurement of performancedegradation is technically difficult or costly. To tackle this problem,
this paper proposes to utilize the measurement data which are
related to the performance degradation, namely, marker data. It is
assumed that the degradation process is modeled with Wiener
process, and that the marker is the integral of the performancedegradation. We first estimate the parameters of the Wiener
process using marker data and then conduct the reliability
assessment. A simulated example is presented to demonstrate theproposed method.
Using Evidential Reasoning Approach for Ship Turbine
Rajesh Prabhu Gaonkar1, Min Xie1, Verma A.K.2, Rui Peng1
1
National University of Singapore, Singapore
2
Indian Institute of Technology Bombay, India

Ranking and selection of optimal alternative among a range ofalternatives have always been a multifaceted task in real-world
complex decision analysis problems due to the qualitative natureof the decision criteria's and also information uncertainties likeincomplete i.e. missing or imprecise data. This makes ranking
process a difficult task in all multi criteria decision making(MCDM) problems. Evidential reasoning approach advocates a
general multi level evaluation process for dealing with MCDM
problems. This paper reports the application of evidential
reasoning approach to ranking and optimal selection among threetechniques utilized for monitoring the condition of a turbine on atransportation ship. The problem was attempted earlier in theliterature by different fuzzy MCDM methods. However, theassessment of incomplete information was not at all accounted
earlier, which is incorporated in this paper. This paper
demonstrates how the evidential reasoning approach could be
used as another additional tool to deal with problem of ranking ofcondition monitoring techniques.
Improvement of Thermal Growth Compensation for Motorized
SpindlesKun-Fang Huang1, Yu-Ling Juan1, Chia-Hui Tang1, Ching-Feng Chang1,
Tsair-Rong Chang1
1
National Changhua University of Education, Taiwan

A dual displacement measurement meter applied as acompensatory device for spindle thermal growth compensation, it
can reduce the measurement error dramatically from single
measurement device. The result matches the laser inspection
report, which is an external direct checking device and been
considered as one of the best checking device of spindle thermal

growth. However, the non-flat surface of spindle nose, fluctuating
measurement distance and the tiny measurement meter can hardly
be fitted rectangular to spindle nose surface which create a certain
percentage of error when the single displacement measurement
meter is applied. The addition of a differential amplifier will
greatly enhance the linear output voltage fed back from dual
measurement meter to the CPU and provide a high sensitive levelof compensation. This new device can reduce the measurement
error from 6% down to 1.8%. The machining tolerance can be
improved greatly and machining time is reduced. The quality ofthe machine and the cutting performance can be upgraded.
Crossover Based on Rough Sets - a Case of Multidimensional
Knapsack Problem
Hsu-Hao Yang1, Ming-Tsung Wang1, Yen-Ju Chen1, Yen-Sheng Huang1,
Chia-Jung Kao1
1
National Chinyi University of Technology, Taiwan

This paper uses two algorithms based on the methodology that
introduces attribute reduction of rough sets (RS) into crossover ofgenetic algorithms (GAs). The first algorithm one selects the
crossover points, either by attribute reduction or randomly; thesecond one selects the crossover points solely by attribute
reduction, with no crossover otherwise. We test the methodology
on the solving of multidimensional knapsack problems using
combinations of the number of items and the number of knapsacks,
and we compare the experiment results to those of typical GAs.
According to the preliminary experimental results, theintroduction of attribute reduction has the advantage that
increases the mean and decreases the standard deviation of the
final solutions when the number of items is medium. Despite thatthe advantage appears to be less consistent when the number of
items increases, the results still show that the mean number of
iterations required to terminate the algorithm and the mean
number of iterations required to reach maximal solutions can be
decreased.
Profitability Evaluation of Cross-Industry Canadian Companies
using Data Envelopment Analysis
Zijiang Yang1
1
York University, CanadaThis paper presents an evaluation of profitability efficiency of 284
Canadian companies using Data Envelopment Analysis (DEA). In
order to address systematic difference among different industries,
cross-system analysis is applied to evaluate the performance ofCanadian companies in different industries. The results indicatethat there is still potential to improve the performance for
Canadian companies.
Asset and Liability Management for Exponential Utility
Preference in an Incomplete Market: The Martingale Approach
Hao Chang1, Xi-min Rong2, Hui Zhao2
1
Tianjin Polytechnic University, China
2
Tianjin University, China

This paper is concerned with asset and liability management
problem in an incomplete market from the viewpoints of expectedutility maximization. The liability is supposed to be random
process driven by Brownian motion with drift while risky assets'
prices are governed by geometric Brownian motion. In addition,
there exist correlations between the risky assets and the liability.
The analytical optimal portfolios for exponential utility
maximization are obtained by applying martingale approach.

A New Heuristic Method Combined with Lagrangian Relaxation
Algorithm for Hybrid Flow Shop Problem
Xuanhao Zhou1, Yong-Zai Lu1
1
Zhejiang University, China

In this paper, a heuristic algorithm which embedded in the
Lagrangian relaxation algorithm is proposed to obtain the near
optimal solution to minimize the total weighted complete time in
the Hybrid flow shop problem (HFS). Compared with the original
precedence capacity relaxation algorithm proposed by Tang et.al.
in [6], our algorithm can produce a better solution in most cases.

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Applying Spatiotemporal ICA with DEA Approach in
Evaluating the Training Institution Efficiency of the
Semiconductor Institute Program in Taiwan

hand and glove box means, it analyzed the operation of thetypical manually controlled devices, and verified thefeasibility of a comprehensive evaluation and effectiveness ofsubjective and objective indices.

In this paper, a two-stage approach of integrating spatiotemporal
independent component analysis (stICA) and data envelopment
analysis (DEA) is developed for efficiency measurement. stICA isused to search for latent source signals where no relevant signal
mixture mechanisms are available; and DEA is used to measure therelative efficiencies of decision making units (DMUs). We suggest
using stICA first to extract the input variables for generating
independent components (IC), then selecting the ICs representing
the independent sources of input variables, and finally inputting
the selected ICs as new variables in the DEA model. The training
institution dataset provided by the Semiconductor Institute in
Taiwan is used for analysis. The result shows that the proposed
method can not only separate performance differences between the
training institutions but also improve the discriminatory capabilityof the DEA's efficiency measurement. The study results can serve
as a reference for training institutions wishing to enhance theirtraining efficiency.

Astronaut Physical Load Research and Applications

Cheng-Chin Lu1, Ling-Jing Kao1, Chih Chou Chiu1
1National Taipei University of Technology, Taiwan

An Outdoor Navigation Aid System for the Visually Impaired
Jie Xu1, Zhigang Fang1, Danhuang Dong2, Feng Zhou3
1
Zhejiang University City College, China
2
Zhejiang University, China
3
Nanyang Technological University, Singapore

In order to provide contextual cues for the visually impaired tonavigate safely in outdoor dynamic situations, an outdoor
navigation aid system, AudioGuide, is developed based on a PDA
in this paper. It leverages technological advances in computer
vision, global positioning system (GPS), geographic information
system (GIS), and auditory displays. The camera embedded in the
PDA captures dynamic environmental information; landmark
information along the route queried from a map database built on
eSuperMap is provided with the help of the GPS. Furthermore, theroute is selected based on the userâ€™s familiarity, safety, anddistance and thus is optimized for the user. Sonification andauditory icons are utilized to provide intuitive navigational
information and natural interactions with the user. Initial usability
evaluation shows the feasibility and potential of the AudioGuide
for the visually impaired people.
Operator Situation Awareness Assessment Model in a Nuclear
Power Plant
Licao Dai1, Pengcheng Li1, Li Zhang1
1
University of South China, China

Situation awareness of operators plays a key role in the safety of a
nuclear power plant. The establishment of a situation awarenessassessment model (SAAM) is the foundation of an advanced HRA
method. The paper firstly ascertains the relation between situation
awareness and human reliability analysis and then forms anorganization-committed cause-effect conception model. On thebasis of the above, Bayesian network is used to build SAAM to
conduct cause-effect reasoning and diagnosis. The techniquemakes an assessment on the external influences of the situation
awareness of operators in case of given proofs and identifies
quantitatively the leading factors affecting operator situation
awareness.

Yan Zhao1, Dongxu Li1, Xiaoqian Chen1, Wei Qie2
1
National University of Defense Technology, China
2
China Astronaut Research and Training Center, China

Study on physical load provides astronauts with importantmanned space ergonomics guidance. In this paper, quantitative
measurement and evaluation methods of physical load werecommented, the advantages, disadvantages and improvements ofphysiological methods, biochemical methods, energy metabolism
and subjective methods were analyzed, the application status andfuture trends of astronaut physical load measuring and evaluatingwere discussed.
The Research on the Human-Machine Interface Performance
Evaluation System for Cannon
Min-xia Liu1, Qing Xue1, Li Jiao1
1
Beijing Institute of Technology, China

Performance evaluation of cannon human-machine interface is the
key during development and use of cannon. The establishment of
performance evaluation indicators system is important to ensure
scientific and rational performance evaluation. Considering thefeatures of cannon human-machine interface, this paper analyzed
the factors that impacted the interactive effectiveness, and thenestablished the cannon human-machine interface performance
evaluation indicators system and the evaluation model. Throughanalysis and comparison, the fuzzy comprehensive evaluation
method was chosen to be the cannon human-machine interface
performance evaluation method, and its specific steps were shown.
In addition, take some type cannon human-machine interfaces as
examples to evaluation. The evaluated results should be back to
the designers so as to be the reference of improving interface. The
evaluation indicators system can also be applied to other weaponssystem evaluation.
On Non-parametric Approach for Asia-Pacific International
Airports
Hsu-Hao Yang1, Chen-Min Chan1, Yen-Ju Chen1, Yen-Sheng Huang1,
Chia-Jung Kao1
1
National Chinyi University of Technology, Taiwan

This paper uses stochastic frontier analysis (SFA) to study 12
international airports in the Asia-Pacific region based on data fromthe period 1998-2006. The SFA model uses a translog production
function that is more flexible than a Cobb-Douglas one that is
popularly used in the literature. As an extension of a previous
study, this paper mainly discusses the implications of theparameter estimates of translog function. The use of a translog
function is founded on testing the statistical hypothesis. According
to the preliminary results, we suggest that airports shouldemphasis more on investment than on human resources. In
addition, we find that the inefficiency in the SFA model largely
results from technical inefficiency, and the inefficiency effects aretime-varying and decrease over time. By using the model
including environmental factors to explain the inefficiency, wesuggest that the inefficiency would be less if the airport is moreprivatized.

A Ergonomics Evaluation Hierarchy for the Typical Manually
Controlled Devices in SpaceflightStandard Activity Measurement Plan

Ergonomic evaluation of a manually controlled devices is an
important means of testing a man-machine interface matching inmanned space medicine and engineering research. It's one of thecomprehensive evaluation method based on Delphi, AHP and
Grey systems. This study proposed a mathematical model
combining
subjective weights
andobjective weights,
evaluated a manually controlled devices quantitatively, solved theconnection between design features and an operator satisfaction.
Furthermore, by conducting a real experiment with both bareThis paper deals with a framework that combines thecomplementary features of Activity-Based Costing (ABC) andTime-Driven Activity-Based Costing (TDABC). The framework orStandard Activity Measurement Plan is anchored on computing
unit cost given the required minimum resources for a particular
activity. The activity unit cost is standard and fixed for a certain
period until such time significant variables change significantly.
The standard unit time per activity is also used to establish thepercentage of time spent. In this manner, ABC data collection isminimized if not eliminated totally.

Yan Zhao1, Li Ding2, Dongxu Li1, Wei Qie3
1
National University of Defense Technology, China
2
Beijing University of Aeronautics and Astronautics, China
3
China Astronaut Research and Training Center, China

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124 124

Romeo Manalo1, Marivic Manalo2
1
Manila Electric Company, Philippines
2
De La Salle University, Philippines

Study on the Economic Externality of Green Building
Hui Ma1, Jianting Wang1
1
Tianjin Institute of Urban Construction, China

This paper presents a deep analysis on the barrier of green
building growing with the theory of economic externalities.
Through analyses of the relation between the degree of green
technology usage with the marginal revenue and marginal cost, aconclusion is drawn that the gap between social revenue and theprivate revenue will grow when the usage of green technology is
becoming more. A Green building rating system is advanced andpolicy options designed to "internalize" these externalities
according to these levels are briefly addressed.
Strategic Management and Activity-Based Costing
Romeo Manalo1, Marivic Manalo2
1
Manila Electric Company, Philippines
2
De La Salle University, Philippines

This paper introduces a framework that could change the way
firms set their strategies and goals. This framework links thecorporate budget to the corporate strategies which are cascaded
down to the last employee of the company. This framework
bridges the gap between the operations personnel and with thefinance people as they talk of only the jargon of activity or process
costs. This framework is flexible as it can increase or decrease thebudget from the corporate down to the smallest unit of the firm
when the focus or goals of the company change within the period.
This framework is an effective tool to predict future budgets andoperations of the company as it uses activity costs which are moreaccurate than the traditional method of forecasting. This
framework balances the profit maximization goal of a firm withthat of the company's culture or shared values and societal
expectations especially environmental protection, customer
satisfaction and employee welfare.
Linking Technological Regime to Enterprise Innovation Strategy
Jin Chen1, Yisha Zhou1, Pengfei Wang1
1
Zhejiang University, China

This paper proposes that the specific pattern of innovative
activities in an industry can be explained as the outcome ofdifferent technological (learning) regimes. A technological regime
is defined by four fundamental factors. Building upon the
distinction between exploitation innovation strategy andexploration innovation strategy, this paper provides qualitative
analysis between patterns of innovation strategy and indicators ofthe variables defining technological regimes. Based on that, weestimate the relationships between technological regimes andinnovation strategy.
Research on Integration of Virtual Reality and Other Library
Systems Based on Hierarchical Model
Changzhen Shang1, Yanqiu Xiao1
1
Zhengzhou University of Light Industry, China

Accessing to complex information structure is a prerequisite forfunctions of virtual reality system in actual production and digital
libraries. The data from these complex pattern are often organized
and stored by other systems. Therefore, virtual reality system must
be integrated with them. In this paper, a hierarchical model ispresented to solve the problem, which consists of genetic layer,organizational layer, feature layer and demo layer. Reconstruction
method in virtual environment was proposed. The information indemo layer and organizational layer were constructed based on the
additional data exported from other systems’ model. The link
between genetic layer and organizational layer was establishedthrough a surface-polygon mapping mechanism. Using
XML-based neural file and original model file, demo informationand topology information contained in the model is transformed
and re-constructed through mapping relations. The data sharing
problem was presented and verified by integration of CAD andvirtual assembly system.

Development of an Hemodialysis Simulator forInterdisciplinary Learning

Mu-Hui Lai1, Hwa-Ming Nieh2, Tun-Ping Teng3, Jiann-Jyh Chen1, Yi-You
Huang4, Yu-Cheng Lu5
1
Nei-Hu Vocational High School, Taiwan
2
Minghsin University of Science and Technology, Taiwan
3
National Taiwan Normal University, Taiwan
4
National Taiwan University, Taiwan
5
National Taipei University of Technology, Taiwan

Approximately 58,000 patients are receiving hemodialysis in
Taiwan, with an increase of about 8,000 patients per year.
Hemodialysis accounts for the largest proportion of expenditures
for severe illnesses under the National Health Insurance (NHI)
program. The hemodialyzer has become the most important
healthcare appliance in the medical electronics industry. Withlimited budgets and practical considerations, this study developed
an inexpensive; easy to learn hemodialysis simulation system bysimplifying hemodialyzer design while creating an inexpensive
hemodialyzer, which typically cost more than 20,000 USD. Thissystem could be used for demonstration and education inElectrical/Electronic Engineering departments or medical schools
to improve the quality of engineering-related education.
Optimal Dynamic Hedging of Electricity Futures Based on
Copula-GARCH Models
Sidong Liu1, Jinbao Jian1, Ruanyuan Wang1
1
Guangxi University, China

The electricity futures market is an inevitable product from thedevelopment of electricity spot market, it is advantageous todiscover the real price of electric power and reduce the risk ofelectricity market. This paper considers optimal dynamic hedging
of electricity futures using copula-GARCH models. The Student's-t,
Gumbel and time-varying normal copulas are utilized to capture
the dependence structure between spot and futures of electricity,and the GARCH-t model is used to describe the marginal
distribution and time-varying variance of spot and futures returns.
Compared with conventional hedging strategies, including error
correction model and dynamic conditional correlation GARCH
model, the results show that copula-GARCH hedge ratios are quite
effective in reducing risks in portfolio returns, and the Student's-t
copula provides the best-performed hedge ratio for risk reduction.
A Study on Firms' Investment Behavior during Financial Crisis
Aimin Zeng1
1
Zhejiang Gongshang University, China

Under the backdrop of current global financial crisis, this paper
empirically investigate the impacts of financially conservative
policy adopted during the pre-crisis period on firms’ investment
behaviors in crisis. This paper shows that, during the crisis period,(1) financially conservative firms greatly increase their investment
expenditures, and financially aggressive firms decrease theirinvestment expenditures substantially, (2) financially conservative
firms have greater capacity to raise debt funds, and relatively
lower sensitivity of investment to internal funds than financiallyaggressive firms. (3) financially conservative firms’ investment
expenditures mainly depend on their growth opportunities. In
general, the empirical evidence provided in the paper supports theview that, when hit by adverse shock, firms adopting conservative
financial policy before crisis can manage risk more successfully,
and raise more needed funds for valuable investment
opportunities.
Selecting Criterion of Multivariate Copula Based on theConditional Probability Integral Transformation
Zongrun Wang1, Wuchao Wang1, Yanbo Jin2
1
Central South University, China
2
California State University, United States

In the field of financial risk management, there is still no effective
solution for the selection and goodness-of-fit test of multivariate
Copula functions. This paper proposes a selection criterion for
Copula function based on the method of conditional probability
integral transformation (CPIT). By comparing the statistics under
the CPIT, we discuss the goodness-of-fit of Gaussian Copula,
T-Copula and Clayton Copula in different sample sizes anddimensions. By using daily data of 3 stock indices in North
America stock market, we compare the test statistics based on
125

125

125

CPIT method with those based on maximum likelihood and kernel
density estimates. The results show that the CPIT test can help
effectively select the appropriate multivariate Copula function,and results in more accurate and stable statistics in the
goodness-of-fit test. Test based on maximum likelihood estimate is
unstable while test based on kernel density estimate is less stable
for small samples.
Competency-Based Compensation and Equitable Profit Sharing

Romeo Manalo1, Marivic Manalo2
1
Manila Electric Company, Philippines
2
De La Salle University, Philippines

This paper is about the promotion of industrial peace where laborand management work hand in hand to succeed in their business.
The framework on competency-based compensation and equitableprofit sharing are meant to distribute the wealth generated bybusinesses equitably and to efficiently manage the business interms of cost and productivity. In this manner, prosperity will beachieved even in developing countries where the gap between thevery rich and the very poor is beyond imagination. Profit
maximization is given a special meaning in this study. It is nolonger just about shareholders' wealth but that of all stakeholders'interests.
An Ontology-based Environment for Effective Collaborative andConcurrent Process Engineering
Andreas Wiesner1, Arno Saxena1, Wolfgang Marquardt1
1
RWTH Aachen University, Germany

Facing global competition in the chemical industry particularcompanies from high-wage countries have to cut development
costs and time to market to be still profitable. Therefore, methods
like concurrent and collaborative engineering are increasingly
applied. However, these complex workflows require adequate
software support to be efficient in face of heterogeneous softwareenvironments as typically encountered in most companies. Suchsoftware support does virtually not exist in industrial practice todate. In this paper, we propose a novel software prototype built on
semantic technologies which is capable of providing such software
support and thus helping to improve efficiency in process andplant engineering.

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Convexity of Fuzzy Sets from the Viewpoint of Fuzzy Logic
Xiaodong Pan1, Dan Meng2, Y. Xu1
1Southwest Jiaotong University, China
2Southwestern University of Finance and Ecnomics, China

In order to investigate the graded properties of convex fuzzy sets,from the viewpoint of fuzzy logic, in this paper, we introduce thenotions of (lambda, T) -convex fuzzy set, (lambda, T) -strong
convex fuzzy set, (lambda, T) -strictly convex fuzzy set based on
t-norm based fuzzy logic. The relations among these convex fuzzy
sets is characterized.
Market Reactions to Financial Restatement - Evidence from
Chinese Stock Market
Zhaohui Zhu1, Chengwei Hu2
1
Zhejiang Gongshang University, China
2
People's Bank of China, China

The financial statements of a listed firm disclose the company's
financial position, operating results and cash flow information,
which is an important means for investors to analyze the firm. But
in recent years, financial restatements are becoming frequent.
Basing on 88 Shanghai and Shenzhen A-share listed firms, whichannounced annual financial reports restatements during 2006-2008
periods, this paper tests the share price within a short time
window changes before and after the restatements announcement
through event study. The results show that the financial
restatements have a significant negative impact on stock prices
within a short time window, which indicating that the market cancapture the new information released by restatements
announcement.
Requirements Establishment for Complex Product Development
Using Value-Focused Thinking
Xinwei Zhang1, Guillaume Auriol1, Claude Baron1
1
University of Toulouse, France

Establishment of appropriate requirements specification for
product design is critical for customer satisfaction. In this paper we
present a systematic and analytical approach to this subjective
stage. The process, methods and models view of the approach are
discussed with regarding to multi-attribute value/utility analysis.
It will contribute to material improvement of understanding ofcustomer needs and expectations compared with traditional QFD
paradigm, and provide a foundation for value-driven design.

Author Index
A

CA.K., Verma p.123
ABRAHAMSSON, Lena p.62
ACKERE, Ann Van p.88
ADEBANJO, Dotun p.51
ADENSO-DÍAZ, Belarmino p.121
AGARWAL, Vishnu Prakash p.47
AGHAIE, Abdollah p.115
AGHDASI, Mohamad p.56
AHSAN, Kamrul p.81
AINI, Fahryl p.64
AIT RAMI, Mustapha p.56
AKARTE, Milind p.48
AL DHAHERI, Noura p.82
ALDANONDO, Michel p.107
ALDURGAM, Mohammad p.118
ALENCAR, Luciana p.96
ALI JAMAL, Hira p.92
ALIABADI, Jamal p.101
ALMEIDA, Adiel p.47, 96
ALMUTAIRI, Mubarak p.46, 75
ALVAREZ, Teresa p.72
ANAND, Yogesh p.63, 62
ANDRAWINA, Luciana p.80
ANG, Alvin p.112
APARISI, Francisco p.97
ARTIGUES, Christian p.114
ARUGA, Masahiro p.63
ARUGA, Masayuki p.63
ARYANEZHAD, M.Bahador p.101, 67
ASADZADEH, Shervin p.115
ASHTIANI, Behzad p.67
ASIM, Muhammad p.115, 61, 92, 79, 113
AURIOL, Guillaume p.126
AVENDANO, Gerardo p.97

CABRITA, Maria do Rosário p.79, 11
CAI, Jin p.101
CAMPOS, Ana Carolina p.47
CANELLIDIS, Vassilis p.55, 64
CAO, N. p.68
CAO, Ping p.83
CAPIZZI, Giovanna p.91
CARNEIRO, Luis p.119
CASTAGLIOLA, Philippe p.91
CHAERON, Mochammad p.64
CHAHARSOOGHI, S. Kamal p.73
CHAI, Chunlai p.106
CHAI, Kah-Hin p.110
CHAKPITAK, Nopasit p.70
CHAN, Chen-Min p.124
CHAN, Chu-Chai Henry p.69
CHAN, Clifford p.120
CHAN, Hou Ip p.114
CHAN, K.Y p.67
CHAN, Kai-Ying p.50
CHAN, S.L. p.100
CHANARON, Jean-Jacques p.90
CHANDRASEKHARAN, M. P. p.65
CHANG, Ching-Feng p.123, 71
CHANG, Ching-Pou p.92
CHANG, Chin-Jui p.63
CHANG, Fei-Ting p.58
CHANG, Hao p.123
CHANG, Hsuan Pu p.87
CHANG, Jun-Ru p.66
CHANG, Ling-Yu p.60
CHANG, Po-Lun p.71, 56
CHANG, Shu Hsuan p.121
CHANG, Tsair-Rong p.123
CHANG, Tsung-Han p.75
CHANG, Wei-Lung p.87
CHANG, Wenbing p.92
CHANG, Wen-Jung p.79
CHANG, Yao-Jen p.58
CHANG, Yar-Tin p.117
CHANVARASUTH, Pisit p.77
CHEN, Andy, Li Yueh p.63
CHEN, Cheng-Che p.81, 59
CHEN, Cheng-Wu p.63
CHEN, Chen-Yuan p.48, 58, 63
CHEN, Chih-Cheng p.54
CHEN, Chin Ping p.74
CHEN, Ching Chih p.86
CHEN, Dongming p.97
CHEN, Hao p.121
CHEN, Heng-Ming p.108
CHEN, Hong-Wei p.72
CHEN, Hsiao-Ching p.87
CHEN, Hung-Yi p.50
CHEN, Jian p.84
CHEN, Jiann-Jyh p.125
CHEN, Jin p.73, 125
CHEN, Kai p.122
CHEN, Lien-Tung p.58
CHEN, Long-Tai p.83
\CHEN, Min-Sheng p.72
CHEN, Po-Wei p.48
CHEN, Ruishen p.106
CHEN, Shih-Chang p.71
CHEN, Shih-Huang p.76, 75
CHEN, Shin-Guang p.88
CHEN, Shuang p.62
CHEN, Shun-Hsing p.76
CHEN, Songlin p.47
CHEN, Tsair-Rong p.71
CHEN, Tsung-Hao p.48, 63
CHEN, Tung-Hsien p.50
CHEN, Tzer-Ming p.86
CHEN, Weijiong p.94
CHEN, Xi p.115, 80
CHEN, Xiao p.63

B
BACKHOUSE, Chris p.62
BAE, Young Ju p.51
BAHLI, Bouchaib p.80
BAI, Hua p.81
BALA, Pradip Kumar p.107
BAO, Bingyin p.67
BARABADI, Abbas p.118
BARABADY, Javad p.118
BARON, Claude p.126
BARREIROS, Marco p.56
BARROS, Ana Rita p.54
BARROSO, Ana Paula p.54
BARRY, Marie-Louise p.90
BASHIRI, Mahdi p.82, 48
BAUMANN, Philipp p.96, 84
BAYRAKTAR, Erkan p.99
BEHNAMIAN, J. p.85
BEHZADIAN, Majid p.75
BEN ATALLAH, Zied p.118
BENSLIMANE, Younes p.80
BERENGUER, Christophe p.66
BERGHMAN, Lotte p.89
BERTOLINI, Massimo p.86
BEVILACQUA, Maurizio p.86, 98
BI, Gongbing p.105
BIN MOHAMAD, Nor Akramin p.104
BLASZCZYK, Pawel p.57
BLASZCZYK, Tomasz p.100
BOHEZ, Erik p.64
BOON-ITT, Sakun p.59
BOONJING, Veera p.77
BRADFORD, Nikolas p.70
BRIONGOS, Daniel p.72
BUTDEE, Suthep p.78, 108

127

CHEN, Xiao-li p.87
CHEN, Xiaoling p.79
CHEN, Xiaoqian p.124
CHEN, Xin p.112, 112
CHEN, Xuebin p.101
CHEN, Yen-Ju p.123, 124
CHEN, Yen-ting p.47
CHEN, Ying p.99
CHEN, Yu-Chun p.99
CHEN, Yung-Hsin p.83, 60
CHEN, Yu-Shih p.70
CHEN, Zhinxin p.72
CHEN, Zhixiang p.88
CHEN, Zurong p.111
CHENG, Rui p.73
CHENG, Ying p.120
CHENG, Yu p.109
CHI, Chao-yin p.60
CHI, Yuanqin p.77
CHI, Yuanying p.77
CHIANG, Chien-Yu p.69
CHIANG, Kuen-Ho p.92
CHIN, Christina May May p.96
CHIOU, Chi-Ho p.121
CHIOU, Chuang-Chun p.121
CHIU, Chih Chou p.124
CHIU, Chun-Chih p.99
CHIU, Kuei-Chen p.99
CHIU, Shiu-Chuan p.103
CHOI, Hae-Jin p.109
CHOI, SeongWoo p.84
CHOMVONG, Vornsupa p.59
CHOU, Christine p.102
CHOU, Jui-Sheng p.96
CHOU, Wei Chung p.58, 63
CHU, Chihpeng p.77
CHUA, Jamie Li-Yi p.80
CHUANG, Hsiao-min p.77
CHUANG, Shan-Ping p.72, 86
CHUNG, Chun-Jen p.53
CHUNG, Hung-Yuan p.72
CHUNG, Jaekwon p.87
CHUNG, Pei-Yin p.48, 58, 63
CHUNG, Soon Suk p.51
CHUNG, William p.73
CHUNG, Yu-Chun p.87
CHUTIMA, Parames p.111
CIARAPICA, Filippo Emanuele p.86, 98
CLARKE, Wimpie p.110
CLARYS, Jan Pieter p.61
COIMBRA, António p.107
COSTA, Antonio p.91
COSTANTINO, Francesco p.70
COUDERT, Thierry p.107
CREEMERS, Stefan p.67
CRISÓSTOMO, Manuel p.107
CRUZ-MACHADO, Virgilio p.56, 79, 54
CUI, Xiangmin p.92
CUI, Youxiang p.115
CUI, Zheng p.48, 60
D
DABADE, Balaji p.64
DAFAOUI, El Mouloudi p.105
DAI, Licao p.124
DAI, Qing Hui p.108
DAI, Wenzhi p.110
DANG, Chuangyin p.89
DANIILIDIS, Charalampos p.51
DANTAN, Jean-Yves p.56
DAO, Thien-My p.55
DAR, Khazal p.113
DATTA, Saurav p.81, 65
DE MEY, Johan p.61
DE REYCK, Bert p.67
DE SMET, Yves p.46, 76
127

127

DEB, Prasanta p.47
DEDOUSSIS, Vassilis p.55, 64
DEKKERS, Rob p.51
DELGADO, Carlos Arturo p.88
DEN, Yuichiro p.118
DENG, Mingxing p.111
DENG, Shujin p.67
DHAL, Prasant Ranjan p.65
DI, Yang p.102
DIABAT, Ali p.82
DIAS, Alexandre p.104
DING, Li p.124
DJEFEL, Meriem p.107
DOAN, Anh Vu p.76
DODOO, Emmanuel p.67
DOMBROWSKI, Uwe p.62
DONG, Danhuang p.124
DONG, Peng p.118
DONG, Xiaolu p.90
DROZDA, Martin p.48
DU, Yaling p.102
DUAN, Guolin p.101
DUAN, Manzhen p.95
DUFFUAA, Salih O. p.118
DUMKUM, Chaiya p.85
DZENG, R. J. p.68

GAO, Leilei p.68
GAO, Liang p.100
GAO, Peng p.50
GAO, Xiaoqiang p.122
GARCIA, Monica p.72
GARCÍA, José Manuel p.121
GEMBA, Kiminori p.52, 60
GEUM, Youngjung p.59
GIANNATSIS, John p.55, 64
GOH, Gerald Guan Gan p.80, 53
GONG, Guanghong p.97
GOTO, Hiroyuki p.114, 98
GOYAL, Atul p.66
GRILO, Antonio p.56, 79
GU, Wenfei p.108
GUENTHER, Hans-Otto p.84
GUJJULA, Rico p.84
GUO, Bin p.79
GUO, Bo p.117, 122
GUO, Chengtao p.112, 100
GUO, Hua p.119
GUO, Yinbiao p.98
GUPTA, Pardeep p.66
GUTIERREZ, Guillermo p.100

E

HAATAINEN, Janne p.94
HADDAD, Assed p.52
HAN, Jing p.80
HAN, Woori p.50
HAN, Y. S. p.82
HANSEN, Poul Kyvsgaard p.51
HARBOUCHE, Lahcene p.56
HARRISON, Robert p.96
HASSAN, Jawwad p.79
HASUIKE, Takashi p.58
HAUCK, Eckart p.49
HAZRA, Jishnu p.52
HE, Guozheng p.87
HE, Qichang p.101
HE, T. p.52
HE, Wei p.112
HE, Xiongjun p.122
HE, Yihai p.92
HE, Yuan-Qiong p.100
HE, Zhao-Xiong p.98
HELO, Petri p.119
HENNING, Klaus p.49
HEPPERLE, Clemens p.70
HERBERG, Arne p.76, 102
HERMANSSON, Ayman p.55
HIEN DUC, Truong Ton p.53, 109
HINCKELDEYN, Johannes p.51
HINDMARCH, Helen p.96
HIRAKAWA, Manabu p.103
HIRANO, Yoshiyuki p.118
HISHAMUDDIN, Hawa p.52
HO, Jessica Sze-Yin p.49
HO, W. I. p.68
HO, William p.52
HONG, Chen p.99
HONG, Chun-Fu p.72
HONG, Jiang p.103
HONG, Jun p.65
HONG, Seung Kweon p.51
HOU, Jie p.116
HOU, Shiwang p.61
HOWELL, David p.80
HSIAO, His-Chi p.74
HSIAO, Shu-Hwa p.70
HSIEH, Fei-Hu p.56
HSIEH, Fu-Man p.68
HSIEH, Ting-Chu p.69
HSIEH, Yao-hung p.87
HSIEH, Yi-Hung p.117
HSU, Cho-Chi p.64
HSU, How-Gao p.68
HSU, Ping-Yu p.48
HU, Chengwei p.126
HU, Da-Chian p.79

Author Index

E, Ming Cheng p.88
EL MHAMEDI, Abderrahman p.105
EL TAWIL, Magdy p.114
EL ZOHEIRY, Hanafy p.114
ESPARZA, Jorge p.121
ESSAM, Daryl p.52
ESTEVES, Victor p.95
ESTIFAEI, Hana p.69
EZE, Uchenna p.80, 53
F
F. MANESH, Hamed p.69
FAGHIHROOHI, Shahrzad p.71, 102
FALLAH, Mohamad p.67
FÄLTHOLM, Ylva p.62
FAN, Na p.63
FAN, Shaohua p.122
FAN, WenHui p.112
FAN, Xiaojuan p.48
FAN, Xiumin p.101
FAN, Xuemei p.54
FAN, Zhi-ping p.80
FANG, Chih-Chiang p.99
FANG, Chung-Hsiung p.115
FANG, Jikun p.48
FANG, Quangen p.94, 93
FANG, Zhigang p.124
FATEMI GHOMI, Seyyed Mohammad
Taghi p.85
FATHI, Khalid p.117
FENG, Lizhi p.93
FENG, Wei p.104
FERREIRA, J. P. p.107
FOULADIRAD, Mitra p.66
FREY, Markus p.114
FU, Gao p.95
FU, Hui-Yun p.68
FU, Ke p.83
FUJISUE, Kenzo p.49
FURUKAWA, Takao p.79
G
GABORIT, Paul p.107
GAGLIARDI, Roberto p.73
GALE, Andrew p.96
GAN, Yong p.94
GANGURDE, Sanjaykumar p.48
GANOTAKIS, Panagiotis p.49
128

128

128

H

HU, Hongtao p.70, 112, 100
HU, Shenping p.94, 93
HU, Tao p.117
HU, Xiaoming p.57
HU, Xiu Ming p.102
HU, Yaoguang p.92
HU, Yupu p.94
HUA, Dingguo p.117
HUA, Guang Ru p.108
HUANG, Bingquan p.57
HUANG, Chenn-Jung p.108
HUANG, Chi-Cheng p.74
HUANG, Chih-Wen p.70
HUANG, Chin-Yu p.66
HUANG, Feng-Yi p.65
HUANG, Guanwei p.106
HUANG, Haiting p.103
HUANG, Hung Yu p.117
HUANG, Kun-Fang p.123
HUANG, Mingmei p.93
HUANG, Po-Hsuan p.48, 63
HUANG, Rong-Hwa p.99, 72, 89
HUANG, Ruiqing p.106, 103
HUANG, Shan Huen p.114
HUANG, Vincent p.111
HUANG, Wei-Hsien p.68
HUANG, Xuelin p.97, 72
HUANG, Yen-Sheng p.123, 124
HUANG, Yi p.86
HUANG, Ying p.57
HUANG, Yi-You p.125
HUANG, Yu-Tsung p.53
HUNG, Ching-Tsung p.75
HUNG, Hui-Chih p.98
HUNG, Ming-Chien p.69
HUNG, Yun-Ru p.87
HYYTINEN, Toni p.94
I
IAMPANG, Anupong p.77
IJIMA, Junichi p.103
INOUE, Shinji p.66
INOUE, Toshihiro p.110, 78
INTARAKUMNERD, Patarapong p.78
IP, W.H. p.100
ISMAIL, Hossam p.96
J
JAGGI, Chandra K p.81
JAIN, Vijay Kumar p.64
JALILI, Majid p.48
JALOCHA, Sylwia p.49
JAMALUDDIN, Roslan p.96
JANG, Ikju p.52
JANTHONG, Nattawut p.78
JAYAMANI, S p.76
JEKEN, Oliver p.86
JESCHKE, Sabina p.49
JHUANG, Jing-Wun p.72
JI, Ping p.121
JIA, Hongmei p.95
JIA, YaZhou p.122
JIAN, Jinbao p.125
JIANG, Pin-Chen p.74
JIANG, Ping p.117
JIANG, Tongmin p.122, 101
JIANG, Wei p.61
JIANG, Yazhou p.123
JIANG, Zhibin p.85, 70, 112, 100
JIAO, Jianxin p.47
JIAO, Li p.124
JIN, Dayu p.110
JIN, Jun p.103
JIN, Mingzhou p.114
JIN, Yanbo p.125
JIN, Yongsheng p.68
JING, Ningning p.50
JOB, Jibi p.97

JOHANSSON, Jan p.62
JOHNSON, Michael p.69
JOKO, Tri p.94
JONNALAGEDDA, Venkatesh p.64
JU, Zhenhe p.57
JUAN, Yu-Ling p.123, 71
JURSCH, Sebastian p.49
K
K, Prasanna p.81
KACHITVICHYANUKUL, Voratas p.97
KAIN, Andreas p.51
KAJIKAWA, Yuya p.49, 59, 110, 106, 107,
78
KAMARAJ, N p.76
KANG, Chuen-Roan p.69
KANG, Daekook p.59
KANG, Wonjoon p.101
KANKAANPÄÄ, Timo p.119
KAO, Chia-Jung p.123, 124
KAO, Ling-Jing p.124
KARG, Lars p.115
KASEMSET, Chompoonoot p.97
KASHIMA, Hisashi p.107
KECHADI, Tahar p.57
KESSELMAN, Carl p.97
KHALILI, Yasaman p.63
KHAN, Muhammad Bilal p.92
KHAN, Muhammad Burhan p.98
KHORSHIDI, Soheil p.63
KIM, Jae-Gon p.84
KIM, Jeong Soon p.98
KIM, Jieun p.57
KIM, Song-Kyoo p.113
KIM, Yeong-Dae p.53
KIMBROUGH, Steven p.102
KIRSCHNER, Rafael p.51
KISE, Hiroshi p.86
KO, Chen-Chen p.103
KO, Chien-Pei p.103
KO, Yao-Tsung p.77
KOGURE, Gen p.118
KOIKE, Yuhei p.82
KOJIMA, Mitsutoshi p.111
KOLISCH, Rainer p.114
KONG, Xiangsong p.115
KONG, Xiaolei p.51
KOO, Ja Hong p.75, 98
KORANI, Ehsan p.88
KÖRBER, Klaus p.102
KOTANI, Masato p.82
KRCMAR, Helmut p.100
KREUTZFELDT, Jochen p.51
KULANDAIVELU, Thanigaivel p.69
KULKARNI, Anjali p.64
KULKARNI, Sarang p.55
KUMMER, Sebastian p.54
KUNIFUJI, Takashi p.118
KUO, Chien-Liang p.60
KUO, Chih-Song p.66
KUO, Chil-Chyuan p.71
KUO, Hsin-hui p.61
KUO, Jin-Wei p.48
KUO, Ping-Hong p.77
KUO, R. J. p.82
KUO, Yarlin p.71
KURNIAWATI, Amelia p.80
KWAK, Seong Woo p.71, 66
KWUN, Young Chel p.75, 98
L
LAI, Chun-Mei p.81, 59
LAI, Mu-Hui p.125
LAM, C.Y. p.100
LAM, Kai p.109
LAM, Wei-Haur p.110
LAMPERSTORFER, Thomas p.51
LAN, Jianyi p.90

LAN, Yong p.69
LANGER, Stefan p.76, 70, 102
LAOSIRIHONGTHONG, Tritos p.78
LARSEN, Erik R p.88
LAU, Hon Shiang p.54
LEE, Andrew C. H. p.121
LEE, Carman Ka Man p.85, 65
LEE, Chan Wai p.96
LEE, Chia-Chi p.58, 49, 73
LEE, Hee-Hyol p.121
LEE, Jeong-Eun p.121
LEE, Kung-Yen p.50
LEE, Sora p.60
LEE, Thomas p.102
LEE, Wan-I p.48, 63
LEE, Yu-Shan p.90
LEI, Qun p.116
LEU, Jun-Der p.53
LEU, Sou-Sen p.94
LEUS, Roel p.58, 67, 89
LI, Ching-Yu p.108
LI, Chunhong p.93
LI, Dong p.87
LI, Dongxu p.124, 124
LI, Feng-Chia p.46, 61
LI, Jiajia p.97
LI, Ju p.103
LI, Juntao p.86
LI, Li p.88
LI, Mengru p.72
LI, Ming p.118
LI, Na p.85, 106
LI, Pengcheng p.124
LI, Shichao p.103
LI, Shouxiang p.73
LI, Shujing p.109
LI, Wenli p.60
LI, Xiao-xiao p.57
LI, Xiaoyang p.122, 101
LI, Xin p.121
LI, Y. F. p.108
LI, Ya-Ju p.58
LI, Yanfu p.71
LI, Yanjie p.113
LI, Yi p.102
LI, Yong Xin p.74
LI, Yuanchun p.107
LI, Yulin p.62
LI, Yunlong p.65
LI, Zhaolin p.83
LI, Zhizhong p.90
LI, Zongbin p.65
LIAN, Kunlei p.100
LIAN, Zhaotong p.60
LIANG, Qu p.91
LIANG, Xuechun p.114
LIANG, Yanli p.111
LIAO, Gwo-Liang p.117
LIAO, Jia-Jian p.108
LIAO, Junfeng p.73, 69
LIAO, PeiWen p.119, 115
LIAO, Shu-Hsien p.79, 87
LIDOUH, Karim p.46
LIEN, Ching-Yu p.70
LIM, Jae-Hak p.117
LIM, Seung-Kil p.84
LIN, Chang-Ching p.99
LIN, Chao p.101
LIN, Cheng-Yan p.71
LIN, Chen-ju p.47, 61
LIN, Chen-yu p.47
LIN, Chi Hsiang p.101
LIN, Chin-Fa p.108
LIN, Ching Wei p.74
LIN, Chu-Ti p.66
LIN, Danping p.85
LIN, Dechang p.113
LIN, I-Ching p.80
LIN, Jyh-Dong p.76
LIN, Liang-Tsung p.92
LIN, Min-Der p.58
LIN, Pei Chun p.114

LIN, Pei-Chun p.107
LIN, Ruitao p.86
LIN, S.-J. p.70
LIN, Tyrone T. p.58, 47, 49, 73
LIN, Weidong p.54
LIN, Whei Min p.101
LIN, Y.C. p.68
LIN, Yi-Hsing p.72
LIN, Yuan-Hsu p.54
LIN, Zeng Sheng p.54
LIN, Zih-Yang p.72
LINDEMANN, Udo p.76, 51, 70, 102
LIU, Bingsheng p.111
LIU, Fang p.86
LIU, Hongyan p.94
LIU, Hsu-San p.59
LIU, Jianchang p.83
LIU, Jieping p.88
LIU, Ke p.83
LIU, Min p.100
LIU, Min-xia p.124
LIU, P. p.66
LIU, Ran p.85, 70, 112
LIU, Rong p.102
LIU, Sidong p.125
LIU, Xi p.122
LIU, Xing p.98
LIU, Xue-Min p.98
LIU, Yang p.113, 80
LIU, Yi p.122
LIU, Ying-Chieh p.50
LIU, Yung Ching p.72
LIU, Yun-Ning p.77
LIU, Zeng Rong p.105
LIU, Zhi p.77
LIU, Zhirong p.98
LO, Chien-Chung p.99
LO, Mei-Chen p.48
LO, ShuChuan p.77
LO, Y.-C. p.70
LOPEZ, Pierre p.114
LOUIS, Olivia p.61
LOVE, Jim p.49
LOZANO, Sebastián p.121
LU, Cheng-Chin p.124
LU, Du-Ching p.73
LU, Jiping p.113
LU, Peng p.107
LU, Qiang p.67, 113, 57, 116, 62, 95
LU, Yingna p.67
LU, Yong-Zai p.123, 119
LU, Yu-Cheng p.125
LUANGPAIBOON, Pongchanun p.82
LUO, Fang p.78
LUO, Feng p.115
LUO, Yongliang p.94, 119, 102
LUONG, Huynh Trung p.53
LV, Yaqiong p.65

Author Index

M
MA, Bin-kuan p.113
MA, Hongxia p.73
MA, Hui p.125
MA, Jianhong p.57
MAALI, Yashar p.114
MACEDO, Kelly p.52
MACEDO, Rodrigo p.52
MACHADO, Virgínia p.54
MAHADEVAN, B. p.52
MAHDAVI-AMIRI, Nezam p.114
MALIHI, Ehsan p.56
MALIK, Fahad Mumtaz p.98
MANALO, Marivic p.124, 126, 125
MANALO, Romeo p.124, 126, 125
MAO, Hong p.46
MARAVELAKIS, Petros p.91
MARCANTONI, Fausto p.73
MARKESET, Tore p.118
MARQUARDT, Wolfgang p.126
MASAROTTO, Guido p.91
129

129

129

MAUGER, Cyril p.56
MCLAREN, Patrick p.113
MEHRABI, Somayeh p.82
MEISAMI, Amirhossein p.80
MENG, Dan p.126
MIELKE, Tim p.62
MILANI, Mona p.63
MILLER, Antonin p.122
MILOJEVIC, Dragomic p.76
MIRABI, M. p.85
MISHRA, Antaryami p.65
MISRA, K. A. p.64
MIURA, Tadao p.118
MKAOUAR HACHICHA, Raoudha p.105
MOHAMED, Rozlini p.80
MOHAMED, Sherif p.48
MOHAMMADI, Kamal p.106
MOHD NOOR, Samsul p.55
MOJIBI, Toraj p.63
MORGADO, Claudia p.95
MORI, Junichiro p.59, 107
MORTON, Sue p.62
MOSBAH, A. Ben p.55
MOVAHEDI, Masoud p.80
MU, Lin p.110
MU, Wei Ping p.92
MUELLER, Egon p.87
MUNAWAR, Khalid p.98
MUNI, Durga Prasad p.81
MURUGAN, Sharmeeni p.104
NN, Swati p.62
NAKAMURA, Hiroko p.106
NAKASHIMA, Kenichi p.111
NARASIMHAMURTHY, Srinivas p.81
NASR, Sherif E. p.114
NASRULLAH, Kinza p.92
NATARAJARATHINAM, Malini p.69
NAYAK, Nihar Ranjan p.81
NAZEMI, Jamshid p.75
NEL, Andre L p.110
NENONEN, Sanna p.95
NETTER, Florian p.76
NG, Poh Kiat p.53
NG, Szu Hui p.97
NGUYEN, Phan Anh p.122
NIEH, Hwa-Ming p.125
NING, Xianghui p.91
NIU, Dongxiao p.77
NIU, Jianwei p.90, 63
NIU, Wei-Feng p.77
NOMURA, Minoru p.79
NUREIZE, Arbaiy p.76
O
OERLEMANS, Leon p.50
OKUWADA, Kumi p.79
OMAR, Mohamed K. p.58, 104
ORAWSKI, Robert p.70
OSADA, Hiroshi p.49
OSAKI, Toshimasa p.48
OSTASZEWSKI, Krzysztof p.46
OU, Yang-Kun p.72
P
PAIVINEN, Minna p.93
PAN, Anping p.100
PAN, N. F. p.68
PAN, Nang-Fei p.66
PAN, Xiaodong p.126
PANJAITAN, Togar p.119
PARK, Jin Han p.75, 98
PARK, Taezoon p.109
PARK, Yongtae p.60, 57, 50, 59
PARK, Young C. p.101
130

130

130

PARSA, Hossein p.114
PEI, Ruimin p.50
PEI, Zheng p.122
PEI, Zhi p.76
PENG, Baohua p.123
PENG, J.-S. p.112
PENG, Jr-Hung p.76
PENG, Rui p.123
PENG, Xinmin p.106, 103
PHROMFAIY, Apisak p.64
PILLAI, Madhusudanan p.65, 97
PIPLANI, Rajesh p.112
PITIOT, Paul p.107
POLZONETTI, Alberto p.73
POOLTON, Jenny p.96
POPKOV, Yuri p.89
PORTER, Alan p.50
PRABHU GAONKAR, Rajesh p.123
PRETORIUS, Marthinus p.50
PROMBANPONG, Suksan p.85
PROVYN, Steven p.61
PUNGCHOMPOO, Sirirat p.53
PUNNAKITIKASHEM, Prattana p.78, 78
Q
QI, Zhongying p.93
QIAN, Jingxing p.62
QIAO, Meiying p.90
QIE, Wei p.124, 124
QIU, Hua p.101
QIU, Yi p.101
QU, Liang p.91
R
R, Sridharan p.55
RAMACHANDRAN, K P p.117
RAMACHANDRAN, Meenakumari p.76
RAMKHELAWAN, Travesh p.90
RAMUDHIN, Amar p.118
RAN, Linhua p.90, 63
RAO, B K Nagaraja p.117
RAO, Yunqing p.71, 55
RASHID, Mustafa p.96
RATNAKUMAR, K p.81
RAZALI, Mohamad p.104
RE, Barbara p.73
REN, Lei p.94
REN, Min p.112
REN, Qingwen p.123
RHEE, Kyong-Gu p.121
RIEDEL, Ralph p.87
RIM, Suk-Chul p.52
RIZA, Mustafa p.69
ROBERT, F. p.76
ROE, Michael p.82
RONG, Ke p.116
RONG, Xi-min p.123
ROY, Nirjhar p.111
RUAN, Aijun p.103
RYOKI, Shinichi p.118
S
S S, Mohapatra p.81, 65
SAHIN, Oz p.48
SAHRAEIAN, Rashed p.88
SAHU, S. p.81
SAIKI, Tomoko p.120
SAKATA, Ichiro p.49, 59, 106, 107
SALLES, Jose p.99, 104
SAMIMI, Yaser p.115
SAMIZADEH, Reza p.75
SANDA, Mohammed-Aminu p.62
SANKARANARAYANAN, Karthik p.88
SANTOS, Daniel G. S. dos p.88
SANZ, Jose p.97
SARAWGI, Mishaal p.81

SARI, Kazim p.99
SARKER, Ruhul p.52
SASAKI, Hajime p.49, 106
SATRANONDA, Ekarach p.85
SAXENA, Arno p.126
SCAFOGLIERI, Aldo p.61
SCHULZE, Sven p.62
SCHWARTZ, Thomas p.56
SEIDEL, Rainer p.80
SHAMSUZZAMAN, Mohammad p.91
SHAMSUZZOHA, Ahm p.119
SHANG, Changzhen p.125
SHANGGUAN, Chunxia p.86
SHAO, Zhijiang p.115
SHARAFI, Armin p.100
SHARIF, Naeha p.79
SHASTRI, Lokendra p.81
SHAW, Bor-Ling p.117
SHEIBANI, Kaveh p.89
SHEN, Chun-Ying p.121
SHEN, Guixiang p.122
SHEN, Yueguo p.68
SHENG, Ming-en p.117
SHI, Dan p.75
SHI, Kun p.95
SHI, Xin p.61
SHI, Yongjiang p.116
SHIBATA, Naoki p.59, 106
SHIEH, Horng-Lin p.71, 56
SHIH, Bih-Yaw p.48, 58, 63
SHIH, Chen-Yang p.115
SHIH, Chia-Hung p.63
SHIH, Chun-Chen p.47
SHIKATA, Noriyuki p.60
SHIM, SangOh p.84
SHIN, Dongil p.101
SHINE, Dongkyoo p.101
SHIRAKAWA, Nobuyuki p.79
SHOU, Yongyi p.120
SHU, Bo p.121
SHU, Lianjie p.61
SHUKLA, Sanjay p.77
SI, Nan p.119
SINGH, Varinder p.47
SIROVETNUKUL, Ronnachai p.111
SO, Stuart p.59
SOAMIDAS, V. p.63, 62
SOEPARDI, Apriani p.64
SOFIANOPOULOU, Stella p.58
SOMSUK, Nisakorn p.74, 78
SONG, Bomi p.59
SONG, Dongping p.82
SONG, Hong-Lei p.69
SONG, Shibin p.93
SONG, Xiao p.97
SONTHIPERMPOON, Kawin p.64
SOPADANG, Apichat p.53
SRAJER, Vladimir p.122
SRIVASTAVA, Kamal p.62
SRIVASTAVA, Sanjay p.63, 62
SU, Jack p.111
SU, Jun p.103
SU, T. C. p.66
SUBASRI, R p.76
SUGANUMA, Takuya p.114
SUMITA, Ushio p.82
SUN, F.R p.110
SUN, Hongyi p.51
SUN, Kuo-Shun p.90
SUN, Shudong p.84
SUN, Xuefen p.73
SUN, Yadong p.56
SUN, Yi p.100
SUNDAR RAJ, Mithun p.81
SUNG, Po-Hsun p.76
SUPPIAH, Yasothei p.58
SUTANTO, Abraham p.94
SUTAPA, I Nyoman p.119
SUZUKI, Shinji p.106
SYAFIIE, Syafiie p.56, 55

T
TABATABAEIAN, Seyed Habibollah p.106
TADEO, Fernando p.56
TAGHVA, Mohammadreza p.106
TAHERI, Zahra p.73
TAJAMMUL, Ahmer p.61
TAKAHASHI, Hirotaka p.98
TAKAHASHI, Toru p.120
TALLA NOBIBON, Fabrice p.58
TAN, Kay Chuan p.110, 74
TAN, Runhua p.57
TAN, Y. Q. p.112
TANG, Chia-Hui p.123, 71
TANG, Jie p.93
TANG, Kai-Wei p.66
TANG, Lin p.86
TANG, Qiuhua p.111
TANG, Shucai p.112
TANG, Shun-ming p.69
TANGCHAIDEE, Kritisak p.108
TANVEER, Sahar p.115
TAO, Fei p.119, 120
TAPANELLI, Pietro p.73
TAVAKKOLI-MOGHADDAM, Reza p.101
TEH, Pei-Lee p.49
TEMPELMEIER, Horst p.85
TENG, Tun-Ping p.68, 125
TEO, Siew Chein p.58
THANAKIJKASEM, Purit p.55
THIYAGARAJAN, Radha Ramanan p.55,
81
TONG, Jian p.54
TONG, Shurong p.61
TONG, Ying-xue p.113
TRAUTMANN, Norbert p.96, 84
TRESIGNIE, Jonathan p.61
TRIWATE, Pairush p.82
TSAI, Cheng-Hsuan p.63
TSAI, Chia Chun p.101
TSAI, Chih-Fong p.76
TSAI, Perng-Jy p.68
TSAI, Po-Yen p.108
TSAI, Shuo-Chang p.83, 60
TSAO, Ta Peng p.101
TSENG, Hsien-Cheng p.96
TSENG, Kevin p.64
TSENG, Ming-Lang p.54
TSENG, Yuan-Jye p.65
TSO-SUTTER, Karen p.115
TSUI, Kwok-Leung p.61, 97
TSUNG, Fugee p.91
TU, Chia-Ching p.121
TU, Chia-Jung p.121
TZENG, Gwo-Hshiung p.48
U
UENISHI, Keisuke p.60
UL HASSAN, Mahmood p.61
USAMA SHAIRI, Muhammad p.113
V
VAN WAVEREN, Corro p.67
VANALLE, Rosangela p.99, 104
VAREILLES, Elise p.107
VASARA, Juha p.95
VASUDEVAN, Abhijith p.81
VAZ, Rodrigo p.99
VENKATESH, Y.V. p.108
VERLY, Céline p.46
VIDYANTI, Irene p.97
VIEIRA JR., Milton p.99
W
WACHOWICZ, Tomasz p.100
WAGNER, Helen p.62

WALKER, David p.80
WALLACE, Joanne p.61
WAN, Junbo p.122
WANG, A-na p.71
WANG, Baolu p.102
WANG, Chan p.86
WANG, Chih-Hsuan p.46
WANG, Chih-Nan p.72
WANG, Fang p.105
WANG, Guanli p.98
WANG, Guoxin p.70
WANG, Hongwei p.113
WANG, Hsiao-Yu p.72
WANG, Huifen p.84
WANG, Jiangyun p.72
WANG, Jianting p.125
WANG, Junqiang p.84
WANG, Jun-Zhong p.48
WANG, Kaibo p.92
WANG, Keyi p.108
WANG, Kunpeng p.71
WANG, Kun-Peng p.55
WANG, Li p.92
WANG, Lijuan p.56
WANG, Lizhi p.101
WANG, Meng-Chang p.55,
26
WANG, Min p.70
WANG, Ming-Tsung p.123
WANG, Pei-Ru p.68
WANG, Peng p.70
WANG, Pengfei p.125, 106
WANG, Peng-Kai p.46, 61
WANG, Ruanyuan p.125
WANG, Shaoxi p.92
WANG, Shuang p.69
WANG, Shuming p.107
WANG, Song p.65
WANG, Wen-Pai p.99
WANG, Wuchao p.125
WANG, Xiaocong p.88
WANG, Xiaomei p.103
WANG, Xiaoyi p.84
WANG, Yanfu p.102
WANG, Yao Yu p.54
WANG, Yin-Ying p.83
WANG, Yiwen p.74
WANG, Yuehui p.70
WANG, Yu-Wu p.108
WANG, Z.-B. p.112
WANG, Zengquan p.71
WANG, Zheng p.71, 81
WANG, Zhongqiang p.73
WANG, Zhuofu p.111
WANG, Zongrun p.125
WANG, Zushan p.122
WATADA, Junzo p.76, 80, 107
WEE, Hui-Ming p.53
WEI, Ding p.68
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WEI, Jiang p.51, 113
WEI, LingHui p.122
WEI, Ru-Xiang p.109
WEI, Wenjing p.83
WEI, Xiao-peng p.57
WEN, Chih-Hao p.53
WEN, FurHsing p.119
WEN, Haitao p.54
WIDOWATI, Retno p.79, 87
WIESNER, Andreas p.126
WILLIAMS, Brian p.86
WINDT, Katja p.86
WITHANAGE, Chathura p.109
WOLF, Petra p.100
WOLFENSTETTER, Thomas p.100
WONG, Seng Fat p.68, 118
WORAPRADYA, Kiatkajohn p.55
WU, C.H. p.100
WU, Chia-Fang p.47
WU, Chi-Chuan p.79
WU, Dezhi p.98
WU, Hongtao p.57

WU, Hsiao-Chung p.50
WU, Kejia p.69
WU, Lijuan p.106, 103
WU, Lubin p.120
WU, Shanchao p.103
WU, Shanshan p.77
WU, Shinyi p.97
WU, Xiaobo p.120
WU, Xinghe p.74
WU, Xinye p.98
WU, Xin-Zhu p.71
WU, Yan p.113
WU, Yi p.65
WU, Yongzhong p.121
WU, Zhang p.91
WUANG, Min-Sun p.99, 72
WUDHIKARN, Ratapol p.46, 70
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XI, Cheng p.92
XI, G. H. p.120
XI, Yongtao p.94, 93
XI, Zhongmin p.111
XIANG, Cheng p.108
XIAO, Tiaoyuan p.112
XIAO, Yanqiu p.125
XIAO, Yun p.73
XIAO, Zhonghua p.111
XIE, Li p.109
XIE, Min p.102, 123
XING, Rongjun p.102
XIONG, Shuping p.62
XU, Baofu p.72
XU, Bin p.74
XU, Dehao p.56
XU, Dongsheng p.67
XU, Hongjing p.101
XU, Jiayan p.83
XU, Jie p.124
XU, Lanyu p.123
XU, Pai p.102
XU, Qianli p.84
XU, Suxiu p.67
XU, Wei p.93, 82, 123
XU, X.F. p.52
XU, Xianlong p.61
XU, Y. p.126
XU, Ya Li p.105
XU, Yueliang p.86
XU, Yunbo p.68
XU, Zanyun p.93
XUE, Qing p.124
XUE, Xiaojun p.93
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YAMADA, Koichi p.110
YAMADA, Shigeru p.66
YAMAMOTO, Yoshitugu p.82
YAN, Bingwen p.113, 79
YAN, Jihong p.117
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YANG, Chang-Lin p.99, 72
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YANG, Hairu p.103
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131

131

131

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YANG, Jung-Min p.71, 66
YANG, Ming-Der p.66
YANG, Shih-Ting p.69
YANG, Ta-Hui p.49
YANG, Xi p.120
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YAO, Hongyun p.102
YAO, Min p.74
YAO, Shiqing p.85, 70
YAO, Tao p.101
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132

132

132

ZHANG, Xiaowei p.90
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ZUO, Ming p.117

Services

Internet Stations

8 (Wed), 9 (Thu) & 10 (Fri) December
SICILY ROOM 2501 – Level 1

Useful Telephone Numbers
Conference Secretariat – Meeting Matters International
Cheng-Hoon KHOO (Ms), Conference Manager
Tel: (65) 9819 9462
Patrick CHA (Mr), Operations Manager
Tel: (65) 9125 9090
Ria WENDARI (Ms), Speaker Manager
Tel: (65) 9125 9393

Emergency Services

Emergency Service (Police, Ambulance, Fire): 999
24 hour emergency hotline: 110, 112
Health and Hospitals
S. Januário Hospital (Government): (853) 28313731
Kiang Wu Hospital (Private)                                   : (853) 28371333
Tap Seac Health Centre                                            : (853) 2852 2232

Transport Services• Buses                                (S.A.R.L)                                                                                     : +(853) 2885 0060,  +(853) 2878 7809
Transmac                                                                                    : +(853) 28271122• TaxisThe flagfall charge is MOP13.00 for the first 1600 meters. MOP1.50 will be added for every 230 meters afterwards. Waiting on passengers’ request will be charged for MOP1.50 for every minute.
Radio-Taxi-Service                                                                    : 2851 9519, 2893 9939, 8500 0000 & 2828 3283
About Macau
Macau Government Tourist Office Hotline                         : (853) 2831 5566
Tourist Assistance Unit                                                           : (853) 2833 3000 (24 hours)
Macau Immigration Services of Public Security                 : (853) 2872 5488
Police Force
Macau International Airport                                      : (853) 2886 1111
Hong Kong International Airport                                         : (853) 8790 7039
Association of Retailers & Tourism Services                        : (853) 2878 6223

133

Services (cont’d)What to do and Where to go in Macau(Own Time Own Target)
Sight-seeing• St. Dominic’s Square

The Square lies in front of St. Dominic’s church. St. Domingo’s Church is at the end of the
paved road. A museum of paintings, sculptures and liturgical ornaments that illustrate
the history of the Roman Catholic Church in Asia is on the 3rd floor of the Church. Northof the church and you will arrive at the Ruínas de S. Paulo (Ruins of St. Paul). This is
the most famous landmark in Macau. Right at the east of the Ruínas de S. Paulo is theMuseu de Macau (Macau Museum), in which historical relics of Macau are exhibited. The
southeast along the Av. De Almeida Ribeiro (San Ma Lo), you will find the Grand Lisboa,
a casino hotel and is known for its magnificence. There are also vendors either side of the
Square selling food, clothing and cosmetics amongst other things.

Address: St Domingo Road, Macau
Bus routes: 3, 3A, 4, 8A, 10, 10A, 11, 18, 19, 21A, 26A, 33• Mount Fortress

Mount Fortress, built in 1617-26, occupies a hilltop to the east of the ruins of St. Paul’ s.
It was constructed by the Jesuits as part of a complex which also included the college andchurch of St. Paul’ s. The canons were used only once, when the Dutch invaded Macauin 1622. This was also the first residence of the governors of Macau. Over the following
decades trees grew from the platform of the fort, which was transformed into a public park
where residents and visitors came to enjoy the views. The only building was an office of the
Meteorological Department until 1998 when the three-level Macau Museum, focusing on
the history of Macau, was built into the fortress hill.

Address: Preceta do Museu de Macau
Bus routes:  2,6,9,9A,10,10A,12,17,18,19,22,23,28C• Macau Museum

The Macau Museum is a historical and cultural museum with a vast number of objectsof great historical value, which demonstrates the way of life and cultures of the various
communities which have been inhabited the city for ages. Located at the Monte Fort andfacing St. Paul’s Ruins, the Museum also occupies the ancient Fortress, which, dominating
the Inner Harbour, was built by the Jesuits at the beginning of 17th century The Macau
Museum was opened on the 18th April 1998, consisting of two underground levels anda third one above the fortress’s top platform where the old Meteorological Services ishoused.

Address: Praceta do Museu de Macau
Opening hours: 10:00~18:00 (last admission @17:30)
Closed on Mondays.
Bus routes: 7, 8, 8A, 17, 18, 19
134

Services (cont’d)• Wine Museum

This 1400 square-meter space is divided into different areas, using several types of
supports: maps, texts, photos, tiles and videos, among other. The aim of these sectors is not
only to give information regarding the wine and the grapevines, but also to recreate theatmosphere that involves the production of wine, presenting to the visitor the modern andtraditional tools connected to the wine production. The visitor can taste different types ofwine, an experience included in the ticket price.

Address: Rua Luis Gonzaga Gomes 431 Macau, basement
Opening hours: 10:00 ~ 18:00, Closed on Tuesdays
Bus routes: 1A, 3, 3A, 10, 10A, 10B, 12, 17, 23, 28A, 28B, 28C, 32• TaipaIn the 18th and early 19th centuries Taipa consisted of two hilly islands and a protected
harbour which provided an anchorage for clipper ships and Indiamen engaged in tradewith China. Smaller vessels would transship the cargoes of muslin, manufactured goods
and opium up the Pearl River to Canton and return with tea, silk, and porcelain for export
around the world. The Taipa Flea Market takes place every Sunday in a picturesque areaof Taipa Island, between Bombeiros Square and Camões Square in the heart of the oldvillage.
There are many booths selling traditional crafts and souvenirs, food and beverages, brandname items and trifles, clothes, toys and other products. From 11 am to 8 pm., during thefair, there are cultural and recreational events at Maia de Magalhães Square. There areconvenient car parks and public transportation in the area.

Address: Taipa, Macau
Bus routes: 11, 22,28A, 30,33 &AP1

• Macau Tower Convention &Entertainment Centre

Conquer Macau’s highest summit at the Macau Tower, at 338 metres, and stand at the topof the tower by climbing 100 metres up the mast’s vertical ladders. The SkyJump, a new
attraction at the Macau Tower that takes guests on a 20 second flight over the breathtaking
cityscape of Macau, will be the highest adventure of its kind around the world. Taking
off from the outer rim of Macau Tower 233 meters above ground, it is an astounding 41
metres higher than the only other Sky Jump in the world at the Sky Tower Auckland.
Macau Tower also offers wide range of shopping and dining experiences to the visitors.

Address: Largo da Torre de Macau
Opening hours: 10:00 – 21:00 (weekdays)                               09:00 – 21:00(weekends and public holidays)
Bus routes: 9A, 18, 21, 23, 32

Source: http://www.macautourism.gov.mo/en/135

www.ntu.edu.sg/mae/admin/divisions/sem/sem.asp