Contents
3

Welcome Message

4

Organizers & Committees

6

Session Information• Meeting Rooms• Program Overview• Keynote Presentations• Session Schedules

37

Abstracts

107

Author Index

113

Services• Conference Tours & Visits• Internet Station• Useful Telephone Numbers• What to do and where to go in Singapore

Conference Venue
Furama RIVERFRONT, Singapore
405 Havelock Road
Singapore 169633
Main Tel: (65) 6333 8898
Main Fax: (65) 6733 1588
Email: riverfront@furama.com
Website: www.furama.com

Welcome Message
by Conference Chairs

Martin Helander,

Min Xie,

Roger Jiao,

General Chair,
Division of Systems andEngineering Management,
Nanyang Technological University,
Singapore

Organizing Committee Chair,
Department of Industrial andSystems Engineering,
National University of Singapore,
Singapore

Program Committee Chair,
School of Mechanical Engineering,
Georgia Institute of Technology,
USA

On behalf of the organizing committee of IEEM2008, we are pleased to welcome
you to join us at the 2008 IEEE International Conference on Industrial Engineeringand Engineering Management.
This year, being a year of Olympic Game, our subtitle is “Olympic spirit continues”.
The IEEM2008 organizing committee has put in an enormous effort with the aim
at reaching a greater height with conference of even higher quality this year.
Industrial Engineering and Engineering Management today find the applicationin many sectors and cover both theory and practice in different fields. This isreflected in this year’s conference program as papers on various topics using IEEM
tools and techniques are presented.
By the submission deadline we received over 900 full paper submissions which
exceeded the number last year by a great margin. As for IEEM2007, each paper
was sent to 3-4 referees including two program committee members and one or
two volunteer/author referees. Thanks to the hard work of our referees, all authors
were notified of the outcome ahead of the schedule. This year we were again very
selective and accepted only 60%. Many good papers were not accepted. The
authors can perhaps improve their paper based on the comments of the referees,and submit to our next IEEM conference.
We thank all authors for your interest and contribution. We are also very gratefulfor the help of the members of the organizing committee, the program committee
and the advisory committee. The support from National University of Singapore
and Nanyang Technological University is also greatly appreciated. Together we
can help the IEEM conference to grow and contribute more to the society.
We wish all conference attendees a fruitful meeting with colleagues and friends.
To those overseas, we hope that you enjoy your stay in Singapore and come backfor another IEEM in future.

3

Organizers & Committees
Advisory Committee ChairThong Ngee Goh,
National University of Singapore

General Chair
Martin Helander,
Nanyang Technological University,
Singapore

Organizing Chair
Min Xie,
National University of Singapore

Program Chair
Roger Jiao,
Georgia Institute of Technology,USASub-committee Chairs

Advisory Committee

Technical Program Committee Members

Finance:Szu Hui Ng,
National University of Singapore

Daniel Berg, Rensselaer,
Polytechnic Institute, USA

Dotun Adebanjo,

Local Arrangement:
Kay Chuan Tan,National University of Singapore
Publication:
Zhang Wu,
Nanyang Technological University,
Singapore
Publicity:
Arun Kumar,
RMIT University,
Australia
Logistics:
Kah Hin Chai,National University of Singapore
Social Events:
Anil Varma,
Singapore Polytechnic

Organizers:
IEEE EMS Singapore Chapter
IEEE Singapore Section
National University of Singapore
Nanyang Technological University

Boaz Golany,Technion, Israel
Mike Gregory,Cambridge University, UK
Robert W. Grubbström,
Linköping Institute of Technology, Sweden
Larry Y.C. Ho,
Harvard University, USA andTsinghua University, China
Way Kuo,City University of Hong Kong, Hong Kong
Tinus Pretorius,
University of Pretoria, South Africa
Ralf Reichwald,
Technical University of Munich, Germany

University of Liverpool, United Kingdom

Ana Paula Barroso,
UNIDEMI, FCT-UNL, Portugal
Ronald Beckett;,
University of Western Sydney, Australia
Arijit Bhattacharya,
Dublin City University, Ireland
Prof. Philippe Castagliola,
Université de Nantes, France
Wanpracha Chaovalitwongse;,
Rutgers University, USA
Cheng-Wu Chen,
Shu Te University, Taiwan
Chien-Yu Chen,
George Mason University, USA
Mu-Chen Chen,
National Chiao Tung University, Taiwan
Johannes K. Chiang,
National Chengchi University, Taiwan
Chen-Fu Chien,
National Tsing Hua University, Taiwan
Kwai Sang Chin,
City University of Hong Kong

Gavriel Salvendy,
Purdue University, USA andTsinghua University, China

Anthony Chiu,
De La Salle University, Philippines

Mitchell M. Tseng,Hong Kong University of Scienceand Technology, Hong Kong

William Chung,City University of Hong Kong

Ue-Pyng Wen,
National Tsing Hua University, Taiwan

Chih-Hsing Chu,
National Tsing Hua University, Taiwan

Jan Pieter Clarys,
Vrije Universiteit Brussel, Belgium
Virgilio Cruz-Machado,
UNIDEMI, FCT-UNL, Portugal
Deepak Dahiya,
Institute of Technology and Management,
India
Manfred Dangelmaier,Fraunhofer IAO, Germany
Dragan Djurdjanovic,
University of Texas, USA
Vahid Ebrahimipour,
University of Tehran, IranAbderrahman ElMhamedi,
University of Paris 8, France

4

Technical Program Committee Members(cont’d)
Ip-Shing Fan,
Cranfield University, United Kingdom

Gyutai Kim,
Chosun University, South Korea

Kecheng Shen,
University of Western Australia

Liping Fang,
Ryerson University, Canada

Kwang-Jae Kim,
POSTECH, South Korea

Yongyi Shou,
Zhejiang University, China

Tadeo Fernando,
University of Valladolid, Spain

Carman Ka Man Lee,
Nanyang Technological University,
Singapore

Ali Siadat,
ENSAM-LGIPM, France

Thomas Frisanco,
Nokia Siemens Networks, Germany
Fausto Pedro García Márquez,
University of Castilla-La Mancha, Spain

Vincent Lee,
Monash University, Australia

Raj Siriram,
Dimension Data MEA, South Africa

Zhizhong Li,
Tsinghua University, China

Ponnambalam Sivalinga G,
Monash University, Malaysia Campus,
Malaysia

Thunshun Liao,Louisiana State University, USA

Kathryn Stecke,
University of Texas at Dallas, USA

Fuhua Lin,
Athabasca University, Canada

Harm-Jan Steenhuis,
Eastern Washington University, USA

Tyrone T. Lin,
National Dong Hwa University, Taiwan

Hongyi Sun,
City University of Hong Kong

Richard Linn,
Boeing, USA

Ramayah T.,
Universiti Sains Malaysia, Malaysia

Jiyin Liu,
Loughborough University, United Kingdom

Giovanni Tani,
University of Bologna, Italy

Hans-Otto Guenther,Technical University Berlin, Germany

Huitian Lu,
South Dakota State University, USA

Ahmed Tolba,
The George Washington University, USA

Murat Gulbay,
University of Gaziantep, Turkey

Qinhai Ma,
Northeastern University, China

Norbert Trautmann,
University of Bern, Switzerland

G. Gunawan,
University of Surabaya, Indonesia

Antonio Messeni Petruzzelli,
Politecnico di Bari, Italy

Ming-Lang Tseng,Ming-Dao University, Taiwan

Rasoul Haji,
Sharif University of Technology, IranHarekrishna Misra,
Institute of Rural Management Anand, India

Enrico Vezzetti,
Politecnico di Torino, Italy

Siana Halim,Petra Christian University, Indonesia

Lars Moench,
University of Hagen, Germany

Chengen Wang,
Northeastern University, China

Thomas Hanne,
University of Applied Sciences, Switzerland

Halimahtun Mohd Khalid,
Damai Sciences Sdn Bhd, Malaysia

Eric Min-yang Wang,
National Tsing Hua University, Taiwan

Qingpei Hu,
City University of Hong Kong, China

Sha'ri Mohd Yusof,
Universiti Teknologi Malaysia

Min Wang,
Chaoyang University of Technology, Taiwan

Shenping Hu,
Shanghai Maritime University, China

Adam T.S. Ng,
National University of Singapore

Xueqing Wang,
Tianjin University, China

George Q. Huang,
The University of Hong Kong, China

Rassoul Noorossana,
Iran University of Science and Technology,
Iran

Yonggui Wang,
University of International Business andEconomics, China
Jason Woodard,Singapore Management University, Singapore

Surojit Ghosh,Institution of Engineers, India
Amnon Gonen,
Holon Institute of Technology, Israel
Volker Grienitz,
University of Siegen, Germany
Martin Grunow,
Technical University of Denmark
Jiajun Gu,
Huazhong University of Science and Technology,
China

Sandeep Jain,
Hewlett Packard, India
Leila Jemni BenAyed,
Faculty of Sciences of Tunis, Tunisia
Myong K. Jeong,
University of Tennessee, USA
Xiaoyue Jiang,Louisiana State University, USA
Sun Jing,
The University of Electro-Communications,Japan
Kartlos Kachiashvili,
Tbilisi State University, Georgia

Gunilla Ölundh Sandström,
KTH, Sweden
Mohamed Omar,
Multimedia University, Malaysia
Mayorkinos Papaelias,
The University of Birmingham,
United Kingdom
Aditya Parida,Luleå University of Technology, Sweden
Alan Pilkington,
Royal Holloway, University of London,
United Kingdom

Voratas Kachitvichyanukul,
Asian Institute of Technology, Thailand

Raad Qassim,
Federal University of Rio de Janeiro, Brazil

Helen Karatza,
Aristotle University of Thessaloniki,
GreecePaul Ranky,
New Jersey Inst. of Technology, USA

Pekka Kess,
University of Oulu, Finland

Ruben Ruiz,
Universidad Politecnica de Valencia, Spain

Deyi Xue,
University of Calgary, Canada
Richard Yam,
City University of Hong Kong, Hong Kong
Chui Young Yoon,
Chungbuk National University, South Korea
Yong Zeng,
Concordia University, Canada
Xuan F. Zha,
ESI, NIST, USA
Linda Zhang,
University of Groningen, Netherlands
Huiming Zhu,
Hunan University, China
Ahmed Zobaa,
University of Exeter, United Kingdom

Hossein Sharifi,
Liverpool University, United Kingdom

5

(M Lifter to
cu L
r y eve
I, I l 5
I&
III)

Meeting Rooms

Lift to Level 5(Mercury I, II & III)

Level 3 Floor Plan - Venus & Jupiter Rooms
Escalator to Level 2
The SQUARE Restaurant(International Buffet)
REGISTRATIONCounter(Poster Sessions)

Jupiter I

Internet

VIP
Room

Venus IKINTAMANI
Indonesian
Restaurant(Halal)Jupiter II

Jupiter III
Venus II

Venus III

Mercury III

Mercury II

POOL

6

Mercury I

Pre-Function
Area

Level 5 Floor Plan - Mercury Rooms

Program Overview
8 Dec – Mon: Delegate Arrival, Registration, Welcome Reception & Optional Tours
5.00pm5.00 to 7.00pm

Registration Desk Opens
Registration & Welcome Reception

Level 5 Mercury RoomLevel 5 Mercury Room

Optional Tours (Requires Advanced Booking)• City Tour & Newton Food Centre

Coach Departs Hotel 6pm and Ends at Newton Food Centre

9 Dec – Tue to 11 Dec – Thu: Poster Sessions, Daily AM/PM Coffee/Tea
10.30 to 11.00 – AM Break
10.30 to 11.00 – AM Poster

3.00 to 3.30 – PM Break
3.00 to 3.30 – PM Poster

Level 3 Meeting Room Foyers
Level 3 Venus I Poster Room

Daily Lunches: 12.30 to 1.30pm Daily• 9 Dec – Tue & 10 Dec – Wed
Lunch Buffet (International)
Level 2 The SQUARE
Lunch Buffet (Full Halal)
Level 3 KINTAMANI Indonesian• 11 Dec – Thu
Stand-up Lunch Buffet
Level 3 Meeting Room Foyers

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

Registration Desk Opens
Guests & Delegates to be seatedOpening & Keynote I p.9
Keynote II p.10

Oral & Poster
Presentations 11.00am – 12.30pm

Level 3 Foyer
Level 3 Venus Ballroom II & III
Level 3 Venus Ballroom II & III
Level 3 Venus Ballroom II & III

1.30 – 3.00pm

3.30 – 5.30pm

Technology & Knowledge
Management 2 p.14

Technology & Knowledge
Management 3 p.14

Venus II

Technology & Knowledge
Management 1 p.14

Jupiter I

Operations Research 1 p.15 Operations Research 2 p.15 Operations Research 3 p.15

Jupiter II

Quality Control& Management 1 p.16

Quality Control& Management 2 pg.16

Engineering Economy& Cost Analysis p.16

Jupiter III

Production Planning& Control 1 p.17

Production Planning& Control 2 p.17

Production Planning& Control 3 p.17

Mercury I

Decision Analysis& Methods 1 p.18

Decision Analysis& Methods 2 p.18

Decision Analysis& Methods 3 p.18

Mercury II

Reliability & MaintenanceEngineering 1 p.19

Reliability & MaintenanceEngineering 2 p.19

Reliability & MaintenanceEngineering 3 p.19

Mercury III

Service Innovation& Management 1 p.20

Service Innovation& Management 2 p.20

Service Innovation& Management 3 p.20

Venus I

Poster Session 1 p.21 - 22

Optional Evening Tour (PLEASE PRESENT TICKET TO COACH DRIVER)• Night Safari Tour

Coach Departs Hotel 6pm and Return to Hotel by 11pm
7

Program Overview (cont’d)
10 Dec – Wed: Keynote Presentation & Concurrent Sessions
8.00 to 8.45am
8.45 am
9.00 to 9.45am

Registration Desk Opens
Guests & Delegates to be seated
Keynote III p.11

Level 3 Foyer
Level 3 Venus Ballroom II & III
Level 3 Venus Ballroom II & III

Oral & Poster
Presentations

11.00am – 12.30pm

Venus II

Technology & Knowledge Technology & Knowledge
Management 4 p.23
Management 5 p.23

Technology & Knowledge
Management 6 p.23

Jupiter I

Decision Analysis& Methods 4 p.24

Decision Analysis& Methods 5 p.24

Project Management 1 p.24

Jupiter II

Supply Chain
Management 1 p.25

Supply Chain
Management 2 p.25

Supply Chain
Management 3 p.25

Jupiter III

Facilities Planning& Management p.26

Manufacturing
Systems 1 p.26

Manufacturing
Systems 2 p.26

Mercury I

Engineering Education& Training p.27

Safety, Security & Risk
Management 1 p.27

Safety, Security & Risk
Management 2 p.27

Mercury II

Reliability & Maintenance Reliability & MaintenanceEngineering 4 p.28
Engineering 5 p.28

Systems Modeling &Simulation 1 p.28

Mercury III

E-business &E-commerce 1 p.29

Information Processing& Engineering p.29

Venus I

Poster Session 2 p.30 - 31

1.30 – 3.00pm

E-business &E-commerce 2 p.29

3.30 – 5.30pm

10 Dec – Wed: IEEM2008 Conference Dinner – Includes Fun Ride on THE SINGAPORE FLYER(Please Present Dinner Ticket At Gate. Registration Fee At Student Rate Excludes Conference Dinner.)• Coach departs hotel from 5.15pm; Last Bus leaves by 5.45pm• Function starts 6pm• Coach departs dinner venue from 9pm; Last Bus leaves by 9.30pm

11 Dec – Thu: Concurrent Sessions
8.30 to 11.30am

8

Registration Desk Opens

Level 3 Foyer

Oral & Poster
Presentations

9.00am – 10.30am

11.00am – 12.30pm

Venus II

Systems Modeling & Simulation 2 p.32

Systems Modeling & Simulation 3 p.32

Jupiter I

Project Management 2 p.32

Project Management 3 p.33

Jupiter II

Supply Chain Management 4 p.33

Supply Chain Management 5 p.33

Jupiter III

Global Manufacturing & Management 1 p.34

Global Manufacturing & Management 2 p.34

VIP Room

Human Factors 1 p.34

Human Factors 2 p.35

Venus IIIIntelligent Systems p.35

Quality Control & Management 3 p.35

Venus I

Poster Session 3 p.36

Keynote Presentations

Tue – 9 Dec, 9.00 to 9.45am

The Nexus Between Creativity and Innovation
at the National Library Board
N Varaprasad, PhD
Chief Executive,
National Library Board, Singapore

ABSTRACTThe National Library Board, through the National Library Singapore andthe network of Public Libraries provides a trusted and globally-connected
library and information service designed to promote a knowledgeable andengaged society.
In this paper, the keynote speaker will explore the nexus between Creativity
and Innovation and explain how the Board has used this to generatecreative ideas and develop innovative applications that have marked out
NLB as a one of the most enterprising and leading edge library systems
in the world. In doing so, it has transformed libraries in Singapore as
lifestyle destinations, but also worldwide as many metropolitan libraries
have come here to study its success story and replicate it at home.
ABOUT THE KEYNOTE SPEAKERDr N Varaprasad is a lifelong educator, starting his career in 1972 at theFaculty of Engineering, University of Singapore. In 1985, he ventured into
educational management and leadership in the polytechnic sector, becoming
founding Principal of Temasek Polytechnic in 1990.
In 2001, he returned to the National University of Singapore as Deputy
President in overseeing the Corporate cluster. Since 2004, he has been
Chief Executive of the NLB, responsible for developing the National andPublic libraries in Singapore to promote a vibrant, creative and engaged
society. In June 2005, he launched the Library2010 strategic plan, “Libraries
for Life, Knowledge for Success”, aimed at bringing the libraries into thedigital world.
In January 2008, he was one of only two Singaporeans to be named“Champion of Creativity” by the American Creativity Association, for his
work in transforming polytechnic education in Singapore.

9Keynote Presentations

Tue – 9 Dec, 9.45 to 10.30am

Process Mining and RFID
Dennis K.J. Lin
University Distinguished Professor
Penn State University - USA

ABSTRACT
A well-defined business process which reflects the dependencies among
tasks is desirable for modern business intelligent. Processes are typicallymodelled as annotated activity graphs. The traditional method is using
the workflow paradigm to prescribe how business processes should be
performed. Process mining (or Workflows mining), on the other hand, isto construct process models from event logs of past (the data). This
technique aims at improving the underlying processes by providing
techniques and tools for discovering process, control, data, organizational, andsocial structures from event logs. The discovered information can be used todevelop new systems that support the execution of business processes or asa feedback tool that helps in analyzing and improving the performed businessprocesses. Process mining raises a number of interesting scientific questions
coming to several kinds of the challenges of process mining.
This talk will first introduce the general idea and the objectives of our study.
The existing algorithms for process mining will be discussed and compared.
A new algorithm which is especially good for the case when the event logs
(data) contain errors is proposed. Followed an overview of recent development
on RFID (Radio Frequency Identification), a process mining application on
RFID will be discussed.
ABOUT THE KEYNOTE SPEAKER
Dr. Dennis Lin is a University Distinguished Professor of Supply Chain
Management and Statistics at the Penn State University. His research interests
are quality assurance, industrial statistics, data mining and response surface.
He has published near 150 papers in a wide variety of journals and is editorof Applied Stochastic Models for Business and Industry.
Dr. Lin is an elected fellow of the American Statistical Association (ASA), an
elected member of International Statistical Institute (ISI), an elected fellow ofAmerican Society of Quality (ASQ), a lifetime member of International Chinese
Statistical Association (ICSA), a fellow of the Royal Statistical Society (RSS),and has received the Most Outstanding Presentation Award from SPES, ASA.
He is also the recipient of the 2004 Faculty Scholar Medal Award at Penn State
University, and is currently a Chang-Jiang Scholar at Renmin Universityof China.

10Keynote Presentations

Wed – 10 Dec, 9.00 to 9.45am

Industrial Engineering and Challenges in
the Global Economy
E. A. Elsayed
Professor and Director of the NSF Center for Quality and Reliability
Engineering, Rutgers University - USA

ABSTRACTThe economies of world countries are intertwined and are strongly
dependent on each other. This has created many challenging opportunities
for the industrial engineering profession. IEs play a major role in every
aspect of the economy including manufacturing, production, transportation,energy and health care. Moreover, the customers expect “high” quality
products at minimum cost and readily available. In this presentation, we
will provide examples of challenges and opportunities for the IE professional
to impact the global economy. We address issues related to the preparationof future IEs in order to play a more effective role in this economy.
ABOUT THE SPEAKER
Dr. E. A. Elsayed is a Professor in the Department of Industrial Engineering.
He is also Director of the NSF / Industry / University Co-operative ResearchCenter for Quality and Reliability Engineering, Rutgers-Arizona State
University. He served as chairman of the Department of Industrial andSystems Engineering at Rutgers 1983-2001.
His research interests are in the areas of quality and reliability engineeringand Production Planning and Control. He is a co-author of Quality
Engineering in Production Systems, McGraw Hill Book Company, 1989.
He is the author of Reliability Engineering, Addison-Wesley, 1996. These
two books received the 1990 and 1997 IIE Joint Publishers Book-of-theYear Award respectively. Dr. Elsayed is also a co-author of Analysis andControl of Production Systems, Prentice-Hall, 2nd Edition, 1994. Dr. Elsayedhas served as the Editor-in-Chief of the IIE Transactions. He is also an
Editor for the International Journal of Reliability, Quality and Safety
Engineering. He serves on the editorial boards of other journals such as
International Journal of Production Research and Computers and Industrial
Engineering. Prof Elsayed received his MSc and BSc from University of
Cairo, Egypt, and he has a PhD in Industrial Engineering from Universityof Windsor, Windsor, Canada.

11

Session Schedules

13Technology and Knowledge
Management 1

Technology and Knowledge
Management 2

Technology and Knowledge
Management 3

12/9/2008 11:00 - 12:30
Room: Venus 2

12/9/2008 13:30 - 15:00
Room: Venus 2

12/9/2008 15:30 - 17:30
Room: Venus 2

Chairs:Chairs:Chairs:Kah Hin Chai
Young C. Park

Chengter Ho
Shieuhong Lin

Alan Pilkington
Barbara Cimatti

Abstracts: see page 38

Abstracts: see page 39

Abstracts: see page 40

▪

▪

▪

A Small World in the Patent
Citation Network
Shiu-Wan Hung1, An-Pang Wang1
1National Central University, Taiwan▪

Technological Complexity: aSupport to Management
Decisions for ProductEngineering and Manufacturing▪

Empirically Detecting the Hype
Cycle with the Life Cycle
Indicators: An Exploratory
Analysis of Three Technologies

Arman Kaldi1, Abdollah Aghaie1, Farid
Khoshalhan1
1K. N. Toosi University of Technology, Iran▪

Fostering Entrepreneurship
through Technical Education for
Sustainable Growth of Small andMedium Enterprises in India
Rajesh Jaware1, V.P. Wani2, Mukes
Kumar Pandey3
1Sinhgad Institute of Business
Administration & Computer Applications,India
2National Institute of Technology,
Kurukshetra, India
3Rajiv Gandhi Proudyogiki
Vishwavidyalaya, India▪

Likelihood of Acquisition by
Private Equity Fund in
Semiconductor Packaging
Industry
Chengter Ho1, Hsi-Che Teng2
1National Kaohsiung University of Applied
Sciences, Taiwan
2Taiwan IC Packaging Co., Taiwan▪

Research on Conflicts between
Task Design and Execution in
Knowledge Worker Team underTemporal Framing Effect
Guo Fang Yuan1, Gang Zhang1
1Zhejiang University, China

Process-Centered Knowledge
Model for Continuous Process
Improvement
Kwan Hee Han1, Jun Woo Park1, Young
Hyo Jo11Gyeongsang National University, South
Korea

Heini Jarvenpaa1, Saku Makinen1
1Tampere University of Technology, Finland▪

KMS Adoption in Organizations▪

R&D Resource Allocation and
Linkage with Business StrategiesA Technology Lifecycle
Perspective▪

An Integrative Framework ofKnowledge Management
Enabled Supply Chain
Management▪

A New Approach to Innovation
Management in SMEs
Andrew Wait1, Rainer Seidel1, ManuelSeidel1
1The University of Auckland, New Zealand

A Tool for Understanding and
Measuring End-User e-Business
Competency
Chui Young Yoon1, Keon Myung Lee1
1Chungbuk National University, South
Korea

▪

Constructing On-line Knowledge
Sharing Model for R&D Staff: an
Empirical Study in Taiwan
Chung-Hsiung Fang1, Chao-Tan Ko1,
Ya-Chin Kang1, Guan-Li Chen1
1National Taiwan Normal University,
Taiwan▪

R. Kant1, M.D Singh1
1Motilal Nehru National Institute ofTechnology, Allahabad, India▪

Innovation Problems Associatedwith the Dynamic Growth ofChinese University Spin-outs: A
Conceptual Framework
Yuan Zhou1, Charles Hampden-Turner1
1University of Cambridge, United Kingdom

Sheng-Shyr Cheng1, Hwey-Chyi Lee1
1Chang Jung Christian University, Taiwan▪

Performance Analysis forEnterprise Resource Planning
Systems
Shin-Guang Chen1, Yi-Kuei Lin2
1Tungnan University, Taiwan
2National Taiwan University of Science andTechnology, Taiwan

Javid Koochaki1, Inge Bouwhuis1
1University of Groningen, Netherlands

Giovanni Tani1, Barbara Cimatti1
1University of Bologna, Italy▪

The Role of Knowledge Sharing
and Transactive Memory System
on Condition Based Maintenance
PolicyPerformance Index and
Productivity Analysis for
National R&D Funding in
Science and Technology
So Young Sohn1, Jin Young Choi1
1Yonsei University, South Korea▪

The Classification of Information
Technology on the Perspective of
Obtaining Competitive
Advantage and Information
Technology Capability
Yiming Xiang1, Yonggang Shu1
1Zhejiang Gongshang University, China▪

The Determinants of the Growthof Absorptive Capacity Based on
an Open Innovation Perspective:
A Case Study
Jin Chen1, Wangfang Li2, Wim
Vanhaverbeke3, Zijun Jiang1
1Zhejiang University, China
2Hasselt University, Eindhoven Universityof Technology, Belgium
3Hasselt University, Belgium▪

Innovative Strategies forIntelligent Robot Industry inKorea
So Young Sohn1, Man Jae Kim1
1Yonsei University, South Korea

14

Operations Research 1

Operations Research 2

Operations Research 3

12/9/2008 11:00 - 12:30
Room: Jupiter 1

12/9/2008 13:30 - 15:00
Room: Jupiter 1

12/9/2008 15:30 - 17:30
Room: Jupiter 1

Chairs:Chairs:Chairs:Yuri Popkov
Alireza Haji

Jacques A. Ferland
Tiefeng Zhang

Sydney Chu
Pengyu Yan

Abstracts: see page 41

Abstracts: see page 42

Abstracts: see page 43

▪

▪

▪

Mathematical Programming
Approach for Routing Home Care
NursesBouazza Elbenani1, Jacques A. Ferland2,
Viviane Gascon3
1Université Mohammed V-Agdal, Morocco
2Université de Montréal, Canada
3Université du Québec à Trois-Rivières,Canada▪

Sydney Chu1, Minyue Zhu1
1University of Hong Kong, Hong Kong▪

A DSS for Stochastic Multistage
Portfolio Optimization in the
Mexican Market

An Improved Numerical
Method for Solving a Class ofContinuous-time Linear
Programming Problems

Fuzzy Multilevel Multiobjective
Programming Problems with
Fuzzy Domination Structures▪

Pengyu Yan1, Chengbin Chu2, Ada Che3,
Naiding Yang3
1Northwestern Polytechnical University,
Universiteé de Technologie de Troyes,
France2Universiteé de Technologie de Troyes,
France3Northwestern Polytechnical University,
China

Analyzing Total Knee
Arthroplasty Using Surgical
Volume of Different Hospital
LevelsYu-Tien Cheng1, Ching-Hsue Cheng1,
Jr-Shian Chen2
1National Yunlin University of Science andTechnology, Taiwan
2Hungkuang University, Taiwan

▪

▪

▪

Scatter Search for Multi-mode
Resource-constrained Project
Scheduling Problems
Ahmad Reza Pourghaderi1, Seyed Ali
Torabi1, Jafar Talebi1
1University of Tehran, Iran

Solving Two Dimensional Layout
Optimization Problems with
Irregular Shapes by Using
Meta-heuristic
Kumaran Ramakrishnan1, Julia Bennell1,
Mohamed K. Omar2
1University of Southampton, United
Kingdom
2Multimedia University, Malaysia▪

Project Scheduling for Maximum
NPV with Variable Activity
Durations and Uncertain Activity
Outcomes
Stefan Creemers1, Roel Leus1, Bert De
Reyck2, Marc Lambrecht1
1Katholieke Universiteit Leuven, Belgium
2University College London, United
Kingdom▪

Optimal Control with DAE
Constraints
Zhihui Yang1, Wenjuan Cui1, Yun Tang2
1North China University of Technology,
China
2Tsinghua University, China

A Heuristic Procedure Based on
Column Generation to Solve a
Cutting Stock Problem
Ya Liu1, Chengbin Chu2, Kanliang
Wang3
1Université de technologie de Troyes, France
2Université de technologie de Troyes, Xi'an
Jiaotong University, France
3Xi'an Jiaotong University, China

A Simple and Effective heuristic
for Periodic Vehicle Routing
Problem
Ahmad Reza Pourghaderi1, Reza
Tavakkoli-Moghaddam1, Mehdi
Alinaghian1, Behnam Beheshti-pour1
1University of Tehran, IranBottleneck Adjacent Matching 4(BAM4) Heuristic For Re-Entrant
Flow Shop With DominantMachineAn Algorithm for Optimal Cyclic
Scheduling in a Robotic Cell with
Flexible Processing Times

Markov Chain with Fuzzy States:
Application to Queuing Decision
ModelsDavid de la Fuente1, Maria Jose Pardo2
1University of Oviedo, Spain
2Basque Country University, Spain

Salleh Ahmad Bareduan1, Sulaiman
Hasan1
1Universiti Tun Hussein Onn Malaysia,
Malaysia

Hitoshi Yano1
1Nagoya City University, Japan

▪

▪

▪
▪

Ching-Feng Wen1, Chien-Shih Huang2
1Kaohsiung Medical University, Taiwan
2National Kaohsiung University of Applied
Sciences, Taiwan▪

Bottleneck Adjacent Matching 3(BAM3) Heuristic For Re-Entrant
Flow Shop With DominantMachineAnalysis of the Positive Dynamic
Systems with Entropy Operator:
Application to Image Restorationfrom Projections
Yuri Popkov1
1Institute for Systems Analysis, RussianFederation

Salleh Ahmad Bareduan1, Sulaiman
Hasan1
1Universiti Tun Hussein Onn Malaysia,
Malaysia

Maria A. Osorio1, Erika Jimenez1,
Abraham Sanchez1
1Universidad Autonoma de Puebla, Mexico▪

Data and GP Modeling
Framework for Manpower
Planning: The Case of
Fixed-length Duties▪

Assessing the Performance ofDistribution Lines Based on Data
Envelopment Analysis
Tiefeng Zhang1, Jinsha Yuan1, Xiaozhi
Li1
1North China Electric Power University,
China

▪

Developing a Partial Backlogging
Deteriorating Inventory Modelwith Selling Price Dependant
Demand Rate and Cycle Length
Dependant Selling Price
Alireza Haji1, Hamed Sabahno1, Rasoul
Haji1
1Sharif University of Technology, Iran

15

Quality Control and Management 1

Quality Control and Management 2

Engineering Economy and Cost Analysis

12/9/2008 11:00 - 12:30
Room: Jupiter 2

12/9/2008 13:30 - 15:00
Room: Jupiter 2

12/9/2008 15:30 - 17:30
Room: Jupiter 2

Chairs:Chairs:Chairs:Zhang Wu
Rassoul Noorossana

David de la Fuente
Gyutai Kim

Abstracts: see page 44

Abstracts: see page 45

Abstracts: see page 46

▪

▪

▪

Economic Influences on
Customer Satisfaction: Variation
by Product Function
Bjoern Frank1, Takao Enkawa1
1Tokyo Institute of Technology, Japan▪

Quality Control of Fan Beam
Scanning Data Processing with inVitro Material
Jan Pieter Clarys1, Steven Provyn1,
Joanne Wallace2, Aldo Scafoglieri1,
Thomas Reilly3
1Vrije Universiteit Brussel, Belgium
2Vrije Universiteit Brussel, Liverpool John
Moores University, United Kingdom
3Liverpool John Moores University, United
Kingdom▪

Analysis of Consumers'
Requirements for
Data/Information Quality by
Using HOQ
Keqin Wang1, Shurong Tong1, Lionel
Roucoules2, Benoit Eynard3
1Northwestern Polytechnical University,
China
2University of Technology of Troyes, France
3University of Technology of Compiegne,
France▪

▪

▪

▪

Hendry Raharjo1, Aarnout Brombacher2,
Kah-Hin Chai3, Bo Bergman1
1Chalmers University of Technology,
Sweden2Eindhoven University of Technology,
Netherlands
3National University of Singapore,
Singapore▪

Markov Chain Approximation to
the Performance of Adaptive
CUSUM Procedures
Lianjie Shu1, Wei Jiang2, Zhang Wu3
1University of Macau, Macau
2Stevens Institute of Technology, UnitedStates3Nanyang Technological University,
Singapore▪

Optimization of Injection
Molding Process for Automobile
Headlamp Brackets▪

A Theory of Thermal Growth
Control Techniques for High
Speed Spindles▪

An X-Bar Control Chart Economic
Design Sampling Strategy for
Non-normally Distributed Data
under Gamma (λ, 2) Failure
ModelsFeng-Chia Li1, Cho Hua Yeh2, Peng-Kai
Wang3
1National Tsinghua University, Taiwan
2Jen Teh Junior College of Management,
Taiwan3Hwa Hsia Institute of Technology, Taiwan▪

An Adaptive CUSUM Chart with
Exponential of Mean Shift
Zhang Wu1, Mei Yang1
1Nanyang Technological University,
Singapore▪

The Effect of Non-normality on
the Performance of Linear Profile
Monitoring
Rassoul Noorossana1, Abolfazl Vaghefi2,
Mehdi Dorri1
1Islamic Azad University South Tehran
Branch Graduate School, Iran
2Iran University of Science and Technology,
Iran

On the Applicability of the Kelly
Criterion to Engiineering
Economics
Gyutai Kim1
1Chosun University, South Korea

Farzane Ahmadzade1, Rassoul
Noorossana2
1Islamic Azad University of Karaj Branch,
Iran
2Iran University of Science and Technology,
Iran

Ching-Feng Chang1, Ching-Yi Chao1,
Chao-Shi Ling2, Jin-Jia Chen1,
Tsair-Rong Chen1
1National Changhua University of
Education, Taiwan
2Da Yeh University, Taiwan

An EWMA Control Chart for
Monitoring the Mean of Skewed
Populations Using Weighted
Variance

Dynamic Benchmarking
Methodology for Quality
Function Deployment

Identifying the Time of a
Step-change with MEWMA
Control Charts by Artificial
Neural Network

The Influence of Structural
Complexity on Product Costs
Stefanie Braun1, Udo Lindemann1
1Technische Universitaet Muenchen,
Germany

Li-Chang Chao1
1Diwan University, National Chiao Tung
University, Taiwan

Michael Boon Chong Khoo1, Abdu
Mohammed Ali Atta1
1Universiti Sains Malaysia, Malaysia

16

Michael Boon Chong Khoo
Huiming Zhu

Applying Performance
Management on Semiconductor
Design Processes
Neele Hinrichs1, Erich Barke1
1Leibniz Universität Hannover, Germany▪

Using Historical Data for
Forecasting S-curves at
Construction Industry
Mohhammad Taghi Banki1, Behzad
Esmaeeli1
1Amirkabir University, Iran▪

Analysis of Software Quality
Cost Modeling’s Industrial
Applicability with Focus on
Defect Estimation
Lars Karg1, Arne Beckhaus1
1SAP Research, Germany▪

A Production Economics Modelfor Predictive Cost Assessment in
Manufacturing
Q.Z. Yang1, R.S. Ng1, B. Song1
1Singapore Institute of Manufacturing
Technology, Singapore▪

Digital Technical Documentation
Development: Migration of Paper
based Support Systems within
Submarine PeriscopeEngineering
Robbie Thomson1, John Lynn2
1Thales Optronics, United Kingdom
2Glasgow Caledonian University, United
KingdomProduction Planning and Control 1

Production Planning and Control 2

Production Planning and Control 3

12/9/2008 11:00 - 12:30
Room: Jupiter 3

12/9/2008 13:30 - 15:00
Room: Jupiter 3

12/9/2008 15:30 - 17:30
Room: Jupiter 3

Chairs:Chairs:Chairs:Hans Otto Guenther
Duy Long Ha

Abstracts: see page 47▪

Identification of Implicit
Strategies In Production Control▪

Abstracts: see page 49

▪

▪

1

Optimal Balancing ofMulti-Objective U-Shaped
Assembly Lines using the TSGA
MethodSupaporn Suwannarongsri1, Deacha
Puangdownreong1
1South-East Asia University, Thailand▪

Multi-Objective Assembly Line
Balancing via Adaptive Tabu
Search Method with Partial
Random Permutation Technique

▪

▪

▪

▪

▪

▪

▪

▪

Anna Chatzimichali1, Vassilios
Tourassis1
1Democritus University of Thrace, Greece

Integrated Production Planningfor the Multiple-machine Sheet
Metal Shop with Laser Cuttingand Air Bending
Bart Verlinden1, Kenneth Sorensen1,
Dirk Cattrysse1, Herman Crauwels2,
Dirk Van Oudheusden1
1Katholieke Universiteit Leuven, Belgium
2Lessius Hogeschool - De Nayer Instituut,
Belgium▪

A Two-Stage Method with Mixed
Integer Quadratic Programmingfor Unit Commitment with Ramp
Constraints
Ran Quan1, Jinbao Jian1, Haiyan Zheng1,
Linfeng Yang1
1Guangxi University, China▪

Process Sequence Optimization
Based on Constraint Matrix

Towards a Learning Curve
Theory for Batch Production

Human Resource Planning with
Worker Attendance Uncertainty
Adam T.S. Ng1, Huei-Chuen Huang1,
Junyong Ng1
1National University of Singapore,
Singapore

Yujin Hu1, Zhengyi Zhang1, Ling Ling1,
Xuelin Wang1, Weijun Huang1
1Huazhong University of Science andTechnology, China

Case Based Polishing Process
Planning with Fuzzy Set Theory
BKK Ngai1, George Q. Huang1,
Yingfeng Zhang2, Xin Chen3, Victor Lo1
1The University of Hong Kong, China
2The University of Hong Kong, Xi'an
Jiaotong University, China
3Guangdong University of Technology,
China

▪

A Heuristic For Parallel Machine
Scheduling With Machine
Preference For The Electroetching
Of Aluminium Foil
Chien-Wen Chao1, Ming-Chou Chuang1,
Ching-Jong Liao1
1National Taiwan University of Science andTechnology, Taiwan

The Block Planning Approach: aCase Study Application from theBeverage Industry
Hans-Otto Günther1
1Berlin Institute of Technology, Germany

Scheduling on Identical
Machines with Batch Arrivals in
Semiconductor Testing House
Tsui-Ping Chung1, Ching-Jong Liao1, L.
H. Su2
1National Taiwan University of Science andTechnology, Taiwan
2Chung-Yuan Christian University, Taiwan

Effects of Organizational
Innovations on Firm's Production
Performance
Gunduz Ulusoy1, Gurhan Gunday1,
Lutfihak Alpkan2, Kemal Kilic1
1Sabanci University, Turkey
2Gebze Institute of Technology, Turkey

An Approach for Home Load
Energy Management Problem in
Uncertain Context
Duy Long Ha1, Minh Hoang Le1,
Stéphane Ploix1
1INPGrenoble, France

Scheduling Incompatible Job
Families on A Single Machine: A
Two-Level Heuristic Approach
Mohamed K. Omar1, Yasothei Suppiah1,
Siew Chein Teo1, Julia Bennell2
1Multimedia University, Malaysia
2University of Southampton, United
Kingdom

A Genetic Algorithm-based
Approach to Job Shop
Scheduling Problem with
Assembly Stage
Felix. T. S. Chan1, T. C. Wong2, L. Y.
Chan1
1University of Hong Kong, Hong Kong
2Hong Kong Polytechnic University, Hong
Kong

Supaporn Suwannarongsri1, Deacha
Puangdownreong1
1South-East Asia University, Thailand▪

George Q. Huang
Kemal Kilic

Abstracts: see page 48

Gunther Reinhart , Tobias Gyger
1Technische Universität München,
Germany1

Adam T.S. Ng
Kenneth Sörensen

Minimization of Weighted
Tardiness and Makespan in an
Open Shop Environment by a
Novel Hybrid Multi-objective
Meta-heuristic Method
Reza Tavakkoli-Moghaddam1, Hadi
Panahi1, Mojtaba Haydar2
1University of Tehran, Iran
2Islamic Azad University South Tehran
Branch, Iran▪

Affection of Transmission Line
Limits on Dynamic Behavior
Mu Lin1, Zhihui Yang2, Yun Tang1
1Tsinghua University, China
2North China University of Technology,
China

▪

Performance Evaluation ofWorkflow Scheduling Strategies
Considering Transportation
Times and Conveyor Failures
Munir Merdan1, Thomas Moser1,
Dindin Wahyudin1, Stefan Biffl1
1Vienna University of Technology, Austria

17

Decision Analysis and Methods 1

Decision Analysis and Methods 2

Decision Analysis and Methods 3

12/9/2008 11:00 - 12:30
Room: Mercury 1

12/9/2008 13:30 - 15:00
Room: Mercury 1

12/9/2008 15:30 - 17:30
Room: Mercury 1

Chairs:Chairs:Chairs:Songlin Chen
Shi-Woei Lin

Hwey-Chyi Lee
Chih-Cheng Chen

Soheil Sadinejad
Yves De Smet

Abstracts: see page 50

Abstracts: see page 51

Abstracts: see page 52

▪

▪

▪

Multi-criteria Selection of
Alternatives for Sustainable
Urban Transportation
Orhan Feyzioglu1, Mehmet Sakir Ersoy1,
Gulcin Buyukozkan1
1Galatasaray University, Turkey▪

Comparison of Feature Selection
Approaches based on the SVM
Classification▪

Developing a Fuzzy ANP Modelfor Selecting the Suitable
Dispatching Rule for Schedulinga FMS

A Fuzzy Group Decision-making
Approach to Evaluate a Mobile
Technology for Logistics Industry
Gulcin Buyukozkan1, Jbid Ani
Arsenyan1
1Galatasaray University, Turkey

▪

▪

▪

An Optimization Framework forMultistage
Production-distribution
Networks Using Genetic
Algorithms
Kim Teng Lai1, Lee Luong1, RomeoMarian1
1University of South Australia, Australia

Structural Metrics for Decision
Points within Multiple-domain
Matrices Representing Epc
Processes
Matthias Kreimeyer1, Matthias Gürtler1,
Udo Lindemann1
1Technische Universitaet Muenchen,
Germany

▪

▪

▪

▪

A Strategic Analysis of Intangible
Factors in Technology Investment

Qiwei Guo1, Qinruo Wang1, Kaizhong
Guo1
1Guangdong University of Technology,
China

Priority of strategic plans in BSC
model by using of Group
Decision Making Model
Javad Dodangeh1, Javad Jassbi2,
Morteza Mousakhani1, Mohammad
Anisseh3, Rosnah Binti Mohd. Yusuff4
1Islamic Azad University Qazvin Branch,
Iran
2Islamic Azad University Science &Research Branch, Iran
3University Electrical & Computer
Research Center, Iran
4University Putra Malaysia, Malaysia

Using DEMATEL to Explore theInteraction Effect of Team
Innovation Factors

Exploration of Intelligent System
in Decision Making Relationship of Fuzzy Error Logic
Decomposition Word Tf andConnotative Antithesis ╫nhdl

Formulating a Robust Strategy
Using Scenario Programmingwith a Fuzzy Logic Approach
Reza Radfar1, A. Toloie Eshlaghy1, N.
Vartanyans1
1Islamic Azad University Science &Research Branch, Iran

Lien-An Hsu1, Hsu-Feng Hung2,
Ting-Chun Lu2
1National Chengchi University, Taiwan
2National ChengChi University, Taiwan▪

A Study of Degrees ofTechnology Leverage – In-House
R&D versus Imported
Technology
Hwey-Chyi Lee1, Sheng-Shyr Cheng1
1Chang Jung Christian University, Taiwan

Lilian Borges1, Kim Tan1
1Nottingham University, United Kingdom

A Two Phase Fuzzy Decision
Making Methodology for Bridge
Scheme Selection
S. M. Mousavi1, Hooman Malekly2,
Hassan Hashemi3, S. M. H. Mojtahedi1
1Islamic Azad University South Tehran
Branch, Iran
2Islamic Azad University-South Tehran
Branch, Member of Young Researchers
Club, Iran
3Sazeh-Ara Research Center, Member ofYoung Researchers Club, Iran▪

Mukta Paliwal1, Usha Anantha Kumar1
1Indian Institute of Technology-Bombay,
India

Soheil Sadinejhad1, Hosein
Didehkhani2, S.M. Seyedhosseini2
1Industrial Management Institue, Iran
2Islamic Azad University, Science andResearch Branch, Iran▪

The Predictive Accuracy of Feed
Forward Neural Networks andMultiple Regression in the Caseof Heteroscedastic Data

A Model for Evaluating the
Performance of the Strategic Plan
Using an Analytic Approach
Abbas Toloie Eshlagy1, R. Radfar1, M.
Bahrampour Kivi1
1Islamic Azad University Science &Research Branch, Iran

Shi-Woei Lin1, Chih-Hsing Cheng1
1Yuan Ze University, Taiwan

Feng-Chia Li1, Fei-long Chen1, Gwo-En
Wang2
1National Tsinghua University, Taiwan
2Junior Medical College of Jen-Teh, Taiwan▪

Can Cooke's Model Sift Out
Better Experts and Produce
Well-Calibrated Aggregated
Probabilities?

▪

Critical Factors of Team
Innovation Ranked by SAW,TOPSIS, and GRA
Lien-An Hsu1, Hsu-Feng Hung2,
Ting-Chun Lu2
1National Chengchi University, Taiwan
2National ChengChi University, Taiwan▪

Analysis of Brownfield
Redevelopment by Evolutionary
Game
Yanhua Liang1, Peng Guo1, Junfei Hu1
1Northwestern Polytechnical University,
China

▪

A Fuzzy Regression Approach To
Hierarchical Evaluation Modelfor Oil Palm Grading
Arbaiy Nureize1, Junzo Watada1
1Waseda University, Japan18

Reliability and MaintenanceEngineering 1

Reliability and MaintenanceEngineering 2

Reliability and MaintenanceEngineering 3

12/9/2008 11:00 - 12:30
Room: Mercury 2

12/9/2008 13:30 - 15:00
Room: Mercury 2

12/9/2008 15:30 - 17:30
Room: Mercury 2

Chairs:Chairs:Chairs:Lesley Walls
Gopinath Chattopadhyay

Venkatarami Reddy
Om Prakash Yadav

Pardeep Gupta
Shinji Inoue

Abstracts: see page 53

Abstracts: see page 54

Abstracts: see page 55

▪

▪

▪

Optimal Preventive Maintenancefor a Device submitted to
Random and Deteriorating
FailuresHan Bao1, Deepa Jaishankar1
1Old Dominion University, United States▪

▪

Wanbo Lu1
1Southernwestern University of Financeand Economics, China▪

Evaluation of Technical Vs
Economic Decisions in Rail
Grinding
Venkatarami Reddy1, Gopinath
Chattopadhyay2, Per-Olof
Larsson-Kraik3, Turgut Allahmanli1
1GHD Pty Ltd, Australia
2Central Queensland University, Australia
3Swedish National Rail Administration,
SwedenOptimize a RFID-based Turbine
Maintenance Model - a
Preliminary Study

Availability Analysis of Rubber
Preparation System a Subsystemof a Tube Manufacturing Plant
Under Preemptive Resume
Priority Repair
Pardeep Gupta1, A. Jayant1, A. Goyal2
1Sant Longowal Institute of Engineering &Technology, India
2National Institute of Technology, India▪

Stability of a General Repairable
Human-Machine System
Houbao Xu1, Weihua Guo2, Lina Guo3
1Beijing Institute of Technology, China
2Zhengzhou University of Light Industry,
China
3Beijing Institute of Information andControl, China▪

Reliability Centered Maintenancefor Rolling Stock: A Case Studyin Coaches' Wheel sets ofPassenger Trains of IranianRailway
Seyed Mohammad Rezvanizaniani1,
Mahmoud Valibeigloo1, Mahdi
Asghari1, Javad Barabady2, Uday
Kumar3
1RAJA Passenger Trains Co, Iran
2Tromsø University College, Norway
3Luleå University of Technology, Sweden

Auxiliary Acceleration Factor for
Sequential Accelerated Life Tests:
A Case Study

▪

▪

▪

▪

▪

Challenges of Asset Management
in Power Transmission Network
Lutfiye Allahmanli1, Gopinath
Chattopadhyay1, Gary Edwards2
1Central Queensland University, Australia
2Powerlink Queensland, Australia

Most Reliable Age Replacement
Policy; A New Hazard Rate
Analyzing Mathematical Model
Mohamad Mahdavi1, Mojtaba Mahdavi1
1Islamic Azad University Najafabad
Branch, Iran

The Technical Reliability ofElectrical Power Objects in the
Formulation of Management
Accountancy
Grazyna Dabrowska-Kauf1
1Wroclaw University of Technology, Poland

Optimal Software Release Policy
with Change-Point
Shinji Inoue1, Shigeru Yamada1
1Tottori University, JapanA Function Failure Analysis
Method for Improving Reliabilityof the Product Based on Go-flow
Methodology
Zhonghang Bai1, Xiangdong Li1,
Runhua Tan1, Benning Lian1
1Hebei University of Technology, China

Xiao Liu1, Loon Ching Tang1
1National University of Singapore,
Singapore

JrJung Lyu1, Tung-Liang Chen1
1National Cheng Kung University, Taiwan▪

A Simple Bayesian Estimation of
the Gumbel Distribution▪

Reliability and Availability of aContinuous Casting Plant
Syed Rizwan1, A G Mathew1, Manik
Majumder2, K P Ramchandran1
1Caledonian (University) College ofEngineering, Oman
2NIT Durgapur, India

A PCA-GA Approach for
Weighted Voting System
Optimization Based on
Reliability, Cost and System
Output Analyses
Vahid Ebrahimipour1, Ali Azadeh1,
Shahrzad Faghih Roohi1, Ehsan Shojaei2,
Amin Aalaei3
1University of Tehran, Iran
2Islamic Azad University Abhar Branch,
Iran
3Mazandaran University of Science andTechnology, Iran▪

Resource Allocation: Sequential
Design for Analyses Involving
Several Types of Data
Christine Anderson-Cook1, Todd
Graves1, Michael Hamada1
1Los Alamos National Laboratory, UnitedStates▪

Extended Warranty Policies with
Warranty Options
Alagar Rangan1, Vahidhossein
Khiabani1
1Eastern Mediterranean University, Turkey▪

A Modified Imperfect Preventive
Maintenance Policy under
Reliability Limit
Mingchih Chen1, Min Wang1, Yu-Hung
Chien2
1Chaoyang University of Technology,
Taiwan2National Taichung Institute of Technology,
Taiwan19Service Innovation and Management 1

Service Innovation and Management 2

Service Innovation and Management 3

12/9/2008 11:00 - 12:30
Room: Mercury 3

12/9/2008 13:30 - 15:00
Room: Mercury 3

12/9/2008 15:30 - 17:30
Room: Mercury 3

Chairs:Chairs:Chairs:Kay Chuan Tan
Tianbiao Yu

Kwang-Jae Kim
Krishnaswami Srihari

Chuang-Chun Chiou
Jinghua Li

Abstracts: see page 56

Abstracts: see page 57

Abstracts: see page 58

▪

▪

▪

Crisis Response: the Message
Strategies and Media Coverage
Model
Jianxin Shi1, Minglu Yu1
1Harbin Institute of Technology, China▪

An Integrated Method of Kano
Model and QFD for Designing
Impressive Qualities of
Healthcare Service

Di Wang1, Jiuping Xu1
1Sichuan University, China▪

Chuang-Chun Chiou1, Ya-Sheng Cheng2
1Dayeh University, Taiwan
2National Taichung Institute of Technology,
Taiwan▪

Analysis of Key Features in IPTV
Service Quality Model
Kwang-Jae Kim1, Wan-Seon Shin2,
Dae-Kee Min3, Hyun-Jin Kim1, Jin-Sung
Yoo2, Hyun-Min Lim4, Soo-Ha Lee4,
Yong-Kee Jeong4
1Postech, South Korea
2Sungkyunkwan University, South Korea
3SK Telecom, South Korea
4KT Technologies Labs, South Korea▪

Service Quality, Homebuyers'
Regret and Dissatisfaction in
China Real Estate Market
Jiang Tao Chen1, Eddie C.M. Hui2,
Zhong Ming Wang3
1Zhejiang University, The Hong Kong
Polytechnic University, China
2The Hong Kong Polytechnic University,
Hong Kong
3Zhejiang University, China▪

Reengineering Radiology
Transcription Process throughVoice Recognition
Balagopal Gopakumar1, Shengyong
Wang1, Mohammad Khasawneh1,
Davette Cummings2, Krishnaswami
Srihari1
1State University of New York,
Binghamton, United States
2Wilson Memorial Regional Medical
Center, United States▪

A Complex Networks Analysis
on the Service Businesses of VIPCustomers of a
Telecommunication Department

A Fuzzy Multi-objective
Optimizing Scheduling forOperation Room in Hospital

Exploring Innovation Model
Combine with the Green
Marketing to Consumer's
Behavior Influence - a Case Studyof a TFT-LCD Company

Lei Xu1, Jinghua Li1, Xin Liu1
1Zhejiang Gongshang University, China▪

James K. C. Chen1, Che-Fu Wang2,
Wen-Hsuan Tsai2, Sin-Yi Lin2
1Asia University, National Chiao Tung
University, Taiwan
2Asia University, Taiwan▪

The Analysis of Relationship
Between Burnout, Engagement
and Firm Performance-- Case
Study in Hospitality Industry in
China

Meta-Service Oriented
Collaborative Design Platform
for Complex Product▪

Research of Networked Technical
Service Oriented Production
Process Based on Multi-agent▪

An Application of OR and IE
Technology in Bank Service
System Improvement
Xiaobing Pei1
1Tianjin University of Technology, China

The Industrial Services Reference
Model
Marco Gerosa1, Marco Taisch1
1Politecnico di Milano, Italy▪

Predicting Bed Requirement for a
Hospital Using Regression
ModelsArun Kumar1, Jianxin(Roger) Jiao2,
Sung Shim3
1RMIT University, Australia
2Nanyang Technological University,
Singapore
3Seton Hall University, United States

Tianbiao Yu1, Jing Zhou1, Kai Zhao1, Ge
Yu1, Wanshan Wang1
1Northeastern University, China▪

Research and Analysis ofEnterprise Capability Elements
Based on Customer Value
Mingli Zhang1, Wei Jia2, Chenliang Li2
1Beijing University of Aeronautics &Astronautics, China
2Harbin Institute of Technology, China

Jia-qing Yu1, Jianzhong Cha1, Yiping
Lu1, Nan Li1, Sha-sha Yao1
1Beijing Jiaotong University, China▪

Utilisation of Product Lifetime
Information AcrossOrganizational Boundaries in theDevelopment of Maintenance
Services
Toni Ahonen1, Ville Ojanen2, Markku
Reunanen1, Marinka Lanne1
1VTT Technical Research Centre of Finland,
Finland2Lappeenranta University of Technology,
FinlandLei Wu1
1Hunan Normal University, China▪

New Service Development Using
Gap-based Quality Function
Deploment: Hall Service ofMobile Telecommunication Case▪

Workforce Planning in the
Banking Sector - A Case Study
Veronique Limere1, Hendrik Van
Landeghem1
1Ghent University, Belgium▪

Analysis for Critical Success
Factors of Energy PerformanceContracting (EPC) Projects in
China
Yang Zhang1, Qingmiao Han2,
Changbin Liu1, Jinying Sun3
1Beijing University of Civil Engineeringand Architecture, China
2Harbin Institute of Technology, China
3China Architecture Design and ResearchGroup, China

Jianmei Yang1, Guangchao Huang1,
Jianyong Feng1, Yufeng Lai1
1South China University of Technology,
China

▪

Competitive Strategy ofEnterprise Based on the Principleof Ecological Niche
Xiaofeng Wang1, Zhi-xiang Li2, Pang
Zhou3
1Hebei University of Science andTechnology, Beijing Institute of Technology,
China
2Beijing Institute of Technology, China
3Hebei University of Science andTechnology, China

20

Poster Session 1

p.60

12/9/2008 10:30 - 11:00, 15:00 - 15:30
Room: Venus 1
p.59

The Determinant of theStrategic Value with Human
Resource Management on
Transnational Enterprises

Product Line Management for
Health Care System: Theoretic
Capacity Planning Over
Various Resources

p.60

The Impact ofDecision-making during
Environmental Mutation Substantial Change of Fuzzy
Error System
Qiwei Guo1, Kaizhong Guo1, Qinruo
Wang1
1Guangdong University of Technology,
China

p.59

p.60

p.59

p.60

Chao Xu1, Baozhi Xie1
1Southeast University, China

p.59

p.60

p.60

Nattapong Kongprasert1, Daniel
Brissaud1, Carole Bouchard2,
Ameziane Aoussat2, Suthep Butdee3
1G-SCOP, University of Grenoble(Grenoble-INP), France
2Art et Metiers PARISTECH, France
3King Mongkut's University ofTechnology North Bangkok, Thailand

p.60

p.60

Teresa Alvarez1, Eduardo Sanz1,
Estefania Sastre1, Mohamed Bolajraf1
1University of Valladolid, Spain

p.59

Study on Personality Traits
and Key competence of R&D
Staff: An Empirical Analysis in
Taiwanp.61

A Technology Roadmap on
SOA for Smart Embedded
Devices: Towards Intelligent
Systems in Manufacturing

p.61

Chung-Hsiung Fang1, Ya-Chin
Kang1, Guan-Li Chen1, Yu-Shan
Cheng1
1National Taiwan Normal University,
TaiwanStudy on Motion Measurementof Human Upper Limb Basedon Electromagnetic Tracking
SystemJianguo Zhang1, Haiyan Song1,
Qiang Xue1
1Tianjin University of Science&Technology, China

p.61

A Differential Evolution
Approach for Machine Cell
Formation

New Model and Hybrid
Genetic Algorithm for
Component Placement ofMulti-head Gantry Mount
MachineXuan Du1, Zongbin Li1
1Xi'an Jiaotong University, China

p.61

Study on a Design Model for
the Combined Functional
Periodicity Obtaining Process
Peng Zhang1, Zhonghang Bai1, Fang
Liu1, Runhua Tan1
1Hebei University of Technology, China

p.61

Function-oriented ProductIntegrated Innovation
Fang Liu1, Yu Yang1, Peng Zhang1,
Runhua Tan1
1Hebei University of Technology, China

p.62

Coned Context DEA Modelwith Application to Mutual
Funds Evaluation
Xiujuan Zhao1, Wuyi Yue2
1Beijing University of Posts andTelecommunications, China
2Konan University, Japan

p.62

Using Predicting Particle
Swarm Optimization to Solvethe Vehicle Routing Problem
with Time Windows
Chun-Ta Lin1
1Yu-Da College of Business, Taiwan

p.62

Alessandro Cannata1, Marco
Gerosa1, Marco Taisch1
1Politecnico di Milano, Italy

p.61

Process Capability Analysis forLife Cycle Application
Angus Jeang1, Chien-Ping Chung1,
Chiao-Ju Hung1
1Feng Chia University, Taiwan

An Administrative DSS for theSouth-to-North Water Division
Based on Multi-agent
Chunlai Chai1, Jingchun Feng2
1Hohai University, Zhejiang
GongShang University, China
2Business School of Hohai University,
China

Cost Elasticity Analyzing
Model of Construct ProjectEvalua-Test: a Random Test
Generator

How to Design and Process
Brand Identity through an
Integrated Innovative
Approach

An Improved Particle Swarm
Optimization for Pre-denoiseat the Exhaust Pipeline DesignStage
Hushan Shi1, Shengdun Zhao2,
Jianping Wen2
1Xi'an Jiaotong University, Baoji
University of Arts and Sciences, China
2Xi'an Jiaotong University, China

Association Rule Mining for
Affective Product Design
Xi Yang1, Du Wu2, Feng Zhou1,
Jianxin(Roger) Jiao1
1Nanyang Technological University,
Singapore
2Tianjin University, China

Dongbing Huang1, Wen Zhang1
1Guizhou College of Finance andEconomics, China

p.59

Study on Activities of Daily
Living of Human Body
Jianguo Zhang1, Haiyan Song1,
Qiang Xue1
1Tianjin University of Science&Technology, China

The Optimal Pollution
Technical Standard Modelwith the Environment
EconomyA New EOQ Model for the Life
Inventory of Tools

Research on the Driving Forcesof Born Globals’
Internationalization: Casesfrom Developing Country
Ying Zhou1, Chang Li2, Songting Pan1
Zhejiang University, China
2Zhejiang Gongshang University, China

Tyrone T. Lin1, Jing-Hong Huang1
1National Dong Hwa University,
Taiwan

p.59

p.61

1

A Study on the Water Resource
Pricing Problem Based on the
Recycling Economy Concept
Qing Tian1, Yixiu Cui2, Xue Zheng1
1Harbin Institute of Technology
Shenzhen Graduate School, China
2Guangdong Institute of Science andTechnology, China

A Simulation Optimization
Approach for Facility Layout
Problem

The Responsiveness of Order
Fulfillment in BTO: Five Casesof Chinese Automotive
Manufacturers
Xiang Zhang1, Rongqiu Chen2,
Guoxin Wang1, Yanqiu Xiao1,
JingChang Shangguan1
1Beijing Institute of Technology, China
2Huazhong University of Science andTechnology, China

Guoxin Wang1, Yan Yan1, Xiang
Zhang1, JingChang Shangguan1,
Yanqiu Xiao1
1Beijing Institute of Technology, China

Guangfu Tai1, Peter Williams1
1University of Limerick, Ireland

p.59

p.61

Parames Chutima1, Nonticha
Nimsaard1
1Chulalongkorn University, Thailand

Tyrone T. Lin1, Chie-Bein Chen2,
Yi-Shin Chen1
1National Dong Hwa University,
Taiwan2Takming University of Science andTechnology, Taiwan

p.59

Development of Shop Floor
Control System and
Performance Indicators for
Plastic Injection
ManufacturingEnterprise Systems Success
Assessment: Viewpoints of IS
Function Staff and End-users
Mikko Kaataja1, Ilkka Kouri1
1Tampere University of Technology,
Finlandp.62

Developing a Procedure-based
Genetic Algorithm forOverlapping Flow Shop
Scheduling
Chang-Lin Yang1, Shan-Ping
Chuang2, Tsung-Shin Hsu3
1Fu Jen Catholic University, Taiwan
2Huafan University, Taiwan
3National Taiwan University of Scienceand Technology, Taiwan

Yucheng Kao1, Jin-Cherng Lin1,
Jian-Kuan Wu1
1Tatung University, Taiwan

21

p.62

An Integrated Scheduling andAutomated Material Handling
Approach for Complex
Manufacturing Systems
René Drießel1, Lars Mönch1
1University of Hagen, Germany

p.62

Innovation Intermediary for
Creating Regional Knowledge
Capabilities in Knowledge
Cluster
Chia-Han Yang1, Chih-Jen Chen1,
Joseph Z. Shyu1
1National Chiao Tung University,
Taiwanp.62

An Approach to Numerical
Modeling and Simulation of
Cellular Foam Sandwich
Structures in Commercial
FE-Softwares
Joerg Feldhusen1, Sirichai Torsakul2,
Alexander Brezing1, Sivakumara
Kannappan Krishnamoorthy1
1RWTH Aachen University ofTechnology, Germany
2Rajamangala University of Technology,
Thailandp.62

Key Factors of an Innovative
Organization to Adapt toChanging Global Management
Te-Jeng Chang1, Pi-Shan Hsu2,
Chien-Pen Chuang1, Wen-Shion
Chang3
1National Taiwan Normal University,
Taiwan2Ching Kuo Institute of Managementand Health, Taiwan
3Jinwen University of Science andTechnology, Taiwan

p.63

Research On Object Oriented
Information Modeling In
Manufacturing Planning for
CAPP
Faping Zhang1, Yanqiu Xiao1,
JingChang Shangguan1, Houfang
Sun1, Shahid I. Butt2
1Beijing Institute of Technology, China
2National University of Sciences andTechnology, Pakistan

p.63

Managin Logistics Flows
Through Enterprise
Input-Output Models
V. Albino1, Antonio Messeni
Petruzzelli1, O. G. Okogbaa2
1Politecnico di Bari, Italy
2University of South Florida, UnitedStatesp.63

Regional Economic Effect and
Ideal Economic Scale ofTourism
Keiichi Iso1, Tsutomu Mishina1,
Yoshiaki Shimazaki1, Takazumi
Ishibashi1
1Akita Prefectural University, Japan

p.63

Selection of Optimum
Maintenance Strategy forPower Plant Equipment Basedon Evidential Reasoning and
FMEA
Yuliang Dong1, Yujiong Gu1,
Xiao-feng Dong1
1North China Electric Power
University, China

22

Technology and Knowledge
Management 4

Technology and Knowledge
Management 5

Technology and Knowledge
Management 6

12/10/2008 11:00 - 12:30
Room: Venus 2

12/10/2008 13:30 - 15:00
Room: Venus 2

12/10/2008 15:30 - 17:30
Room: Venus 2

Chairs:Chairs:Chairs:Shin-Guang Chen
Hongyi Sun

Chui Young Yoon
Wim Vanhaverbeke

Sheng-shyr Cheng
Jie Sun

Abstracts: see page 64

Abstracts: see page 65

Abstracts: see page 66

▪

▪

▪

Intellectual Capital and Firm
Performance in Chinese Creative
Industry Firms
Ruyan Hong1, Xiaobo Wu2, Xinmin
Peng3
1Zhejiang University, Hangzhou Normal
University, China
2Zhejiang University, China
3Zhejiang University, Zhejiang Wanli
Universiy, China▪

The Relationship on Information
Technology Capability and
Performance: An Empirical
Research in the Context ofChina's Yangtze River Delta
Region▪

Performance Measurement
System and Staff Perceptions ofLearning: Empirical Evidence
from China
Xinwei Yuan1, JinRen Wang1, JingBing
Yi2
1Xi'an University of Technology, China
2Xi'an Jiaotong University, China▪

Lizi Jiang1, Kah-Hin Chai1, Wenting Liu1
National University of Singapore,
Singapore▪

▪

Challenging Work as a Mediatorof the Relationship Between
Time Pressure and Employee
Creativity in R&D Organizations

Research on Uniform ProductDevelopment Model
JingChang Shangguan1, Yan Yan1,
Houfang Sun1, Runhong Wang1, Liqun
Wang1, Haitao Liu2
1Beijing Institute of Technology, China
2Shandong Wuzheng Group Ltd. Co.,
China

▪

▪

Han Tong Loh , Jie Sun , Wen Feng Lu ,L. S. Nyeow1
1National University of Singapore,
Singapore
1

The Application of Tools andTechniques in a Unified Service
Design Theory

Design of Event Driven Digital
Right Management by Using
Theory of Inventive Problem
SolvingSong-Kyoo Kim1
1Samsung Electronics Co., Ltd, South Korea

A Preliminary Study on the
Current Status of New ProductDevelopment in Singapore
1▪

▪

Cluster Innovation Capabilities:
Concept, Structure and Evolution
Jiang Wei1, Min-fei Zhou1
1Zhejiang University, China▪

▪

Qi Zhou1, Kay Chuan Tan1
1National University of Singapore,
Singapore

Agent-based Tool To Support
Collaborative KMS In Software
Maintenance Process
Environment
Mohd Zali Mohd Nor1, Rusli Abdullah1,
Mohd Hasan Selamat1, Masitah Ghazali1
1University Putra Malaysia, Malaysia

Lien-An Hsu1, Hsueh-Liang Fan1
1National Chengchi University, Taiwan▪

Reach and Richness: Towards a
Theory of Knowledge Sharing
Mechanism Selection
1

Matching Niche Strategy andTechnology Capability of
Latecomer Firms: A Case Study
Guoqing Yan1, Xinmin Peng2, Ruyan
Hong3, Haibo Zhang1
1Zhejiang Wanli University, China
2Zhejiang University, Zhejiang Wanli
Universiy, China
3Zhejiang University, Hangzhou Normal
University, China

Ozgur Dedehayir1, Saku Makinen1
1Tampere University of Technology, Finland

Hao Jiao1, I. C. Chang1, Y. Lu1
1Fudan University, China▪

Does Technological Performance
Gap Drive Product Performance?:
An Explorative Study of Personal
Computer Gaming

Customers' Knowledge andPersonal Attributes in Promoting
Demand for Wood Pellet Heating
Technologies
Aija Tapaninen1, Marko Seppänen1
1Tampere University of Technology, Finland

1▪

Modelling the Diffusion of
Innovation Management Theory
using S-curves

Absorptive Capacity Moderates
the Relationship between
Knowledge Sharing Capability
and Innovation Capability
Luciana Andrawina1, Rajesri
Govindaraju1, TMA Ari Samadhi1, Iman
Sudirman1
1Bandung Institute of Technology,
Indonesia

Alan Pilkington1
1University of London, United Kingdom▪

The Evolution of Knowledge
Network in Manufacturing
Cluster: A Case in China

Total Innovation Managementcompetence and innovation
performance in SMEs -An
Empirical Study Based on SME
Survey in Zhejiang Province
Qingrui Xu1, Jin Chen1, Litian Chen1, Lu
Jin1, Dong Lou1
1Zhejiang University, China

Jingjing Guo1, Bin Guo1
1Zhejiang University, China▪

Understanding the Advantages ofOpen Innovation Practices in
Corporate
Wim Vanhaverbeke1, Vareska Van de
Vrande2
1Hasselt University, Belgium
2Erasmus University, Netherlands

23

Decision Analysis and Methods 4

Decision Analysis and Methods 5

Project Management 1

12/10/2008 11:00 - 12:30
Room: Jupiter 1

12/10/2008 13:30 - 15:00
Room: Jupiter 1

12/10/2008 15:30 - 17:30
Room: Jupiter 1

Chairs:Chairs:Chairs:Abbas Toloie Eshlaghy
Min Wang

Yves De Smet
Vahid Ebrahimipour

C.K. Kwong
Michael Ogembo Kachienga

Abstracts: see page 67

Abstracts: see page 68

Abstracts: see page 69

▪

▪

▪

Rank Reversal in the
PROMETHEE II Method: Some
New Results
Bertrand Mareschal1, Yves De Smet1,
Philippe Nemery1
1Université Libre de Bruxelles, Belgium▪

A Decision Making Approach
Based on Fuzzy Regression andFuzzy Multiple Objective
Programming for Advanced
Manufacturing Technology
Selection
Zeynep Sener1, E. Ertugrul Karsak1
1Galatasaray University, Turkey

▪

▪

▪

Conceptual Design for Peristaltic
Pump Based on TRIZ
Wei Liu1, Xuan Liu1, Runhua Tan1,
Guozhong Cao1
1Hebei University of Technology, China▪

A Mean-Semivariance Model for
Stock Portfolio Selection in Fuzzy
Random Environment
Zhe Zhang1, Jiuping Xu1
1Sichuan University, China

Applying Fuzzy Linguistic
Variable and ELECTRE Method
in R&D Project Evaluation and
Selection▪

Using Fuzzy DEMATEL to
Develop a Causal and EffectModel of Hot Spring Service
Quality Expectation▪

Facility Location Problem for
Reconfigurable Manufacturing
System with Multi-period
Demand Changing▪

An Integrative Approach to
Project Management in a Small
Team Developing a Complex
Product
Ronald Beckett1
1University of Western Sydney, Australia▪

Exploring Impacts of Software
Development Process Maturityon Project Risk
Chun-Hui Wu1
1National Formosa University, National
Yunlin University of Science & Technology,
TaiwanDonghwa Jeong , Yoonho Seo
1Korea University, South Korea
1

The Effects of the Debt Financing
Restriction in a Real Options
Model
Michi Nishihara1, Takashi Shibata2
1Osaka University, Japan
2Tokyo Metropolitan University, Japan

Chih-Cheng Chen1, Ming-Lang Tseng1,
Yuan-Hsu Lin1
1Ming-Dao University, Taiwan▪

Managing Projects in Global
Manufacturing Networks
Egon Mueller1, Ralph Riedel1, Marc
Simon1
1Chemnitz University of Technology,
Germany

Chen-Tung Chen1, W. Z. Hung1
1National United University, Taiwan

Mahdi Bashiri1, Hossein Badri1
1Shahed University, Iran▪

▪

Peng Guo1, Junjun Liang1, Yuming Zhu1,
Junfei Hu1
1Northwestern Polytechnical University,
China

Newsvendor Problems with
Interval Probabilities

A Group Decision Making
Procedure for Fuzzy Interactive
Linear Assignment Programming

R&D Project Portfolio Selection
Model Analysis Within ProjectInterdependencies Context

Risk Control and Implementation
Planning in IS Project
Jian Zhang1, Suling Jia1, Wenting Liu2,
Qiang Wang1
1Beijing University of Aeronautics andAstronautics, China
2National University of Singapore,
Singapore

Jia-Jane Shuai1, C. Y. Kao1
1Minghsin University of Science andTechnology, Taiwan

Peijun Guo1, Hideo Tanaka2
1Yokohama National University, Japan
2Hiroshima International University, Japan▪

Building an Effective ERP
Selection System for theTechnology Industry

1▪

A Fuzzy BOT Project Risk
Evaluation Model in IranianPower Plant Industry
Sadoullah Ebrahimnejad1, S. M.
Mousavi2, S. M. H. Mojtahedi2
1Islamic Azad University Karaj Branch,
Iran
2Islamic Azad University South Tehran
Branch, Iran▪

Telecommunications ProjectManagement – A Holistic
Approach for Operations-Related
Services
Thomas Frisanco1, Norbert Anglberger2,
Rachel Ang3, Stephen Onu4
1Detecon International, Germany
2Siemens AG, Germany
3Ernst & Young, Germany
4Booz Allen Hamilton, United States24Supply Chain Management 1

Supply Chain Management 2

Supply Chain Management 3

12/10/2008 11:00 - 12:30
Room: Jupiter 2

12/10/2008 13:30 - 15:00
Room: Jupiter 2

12/10/2008 15:30 - 17:30
Room: Jupiter 2

Chairs:Chairs:Chairs:Flavio Fogliatto
Thomas Frisanco

Abstracts: see page 70▪

Development of a Methodology
to Improve the Source Process▪

Abstracts: see page 72

▪

▪

1

▪

Inventory Management
Performance in Indian Machine
Tool SMEs: What Factors Do
Influence Them?
N. Rajeev1
1Indian Institute of Science, India

▪

▪

▪

▪

Optimal Retail Shelf Space
Allocation with Dynamic
Programming using Bounds
Hasmukh Gajjar1, Gajendra Adil1
1Indian Institute of Technology-Bombay,
India

Part Based Decentralized
Information Handling for Process
Improvements along the Supply
Chain
Matthias Schmidt1, Wiebke Hartmann1,
Peter Nyhuis1
1Leibniz University Hannover, Germany▪

Dual Sourcing Strategy in Mass
Customized Manufacturing

Carbon Market Sensitive Green
Supply Chain Network Design

A Model to Quantify the
Bullwhip Effect in Systems with
Stochastic Demand and Lead
Time

▪

▪

Chang-Hsien Hsu1, Yung-Hsin Chen1,
Shuo-Chang Tsai1, Chi-Yuan Chen1
1Asia University, Taiwan

A Special Discount Strategy for
Supplier Selection and Order
Allocation
Omid Jadidi1, Sai Hong Tang1, Fatemeh
Firouzi1, Rosnah Binti Mohd. Yusuff1,
Yusof Ismail1
1University Putra Malaysia, Malaysia▪

1

Impact of Channel Power in the
Supply Chain Context - An
Empirical Study on Taiwan
Apparel Industry

TOPSIS for Solving
Multi-Objective Multi-ProductSupplier Selection Problem
under Price Breaks
Omid Jadidi1, Sai Hong Tang1, Fatemeh
Firouzi1, Yusof Ismail1
1University Putra Malaysia, Malaysia

Jose Carlos Fioriolli , Flavio Fogliatto
1Federal University of Rio Grande do Sul,
Brazil
1

Fuzzy Logic Supply Chain
Agility Assessment Methodology
Nazanin Pilevari1, S. M. Seyed
Hosseini1, Javad Jassbi1
1Islamic Azad University Science &Research Branch, Iran

Amar Ramudhin1, Amin Chaabane1,
Mourad Kharoune1, Marc Paquet1
1École de Technologie Supérieure, Canada

A Feed-Back Model of Control
Chart for Supplier
Jing Sun1, M. Matsui1
1The University ofElectro-Communications, Japan▪

Kristianto Nugroho Yohanes1
1University of Vaasa, Finland▪

A Multi-Agent Based
Combinational Auction Model
For Collaborative e-Procurement
Shanshan Wang1, Heqing Song1
1Zhejiang Gongshang University, China

Channel Coordination underPrice Protection
Zhe Zhang1
1Fudan University, China▪
▪

Lead Time and Inventory
Decisions in a Push-and-Pull
SystemHe Xu1, Xiang Zhu2, Liming Liu3
1Huazhong University of Science andTechnology University, China
2Hong Kong University of Science andTechnology, Hong Kong
3Hong Kong Polytechnic University, Hong
Kong

Analysis of an Inventory Modelin Subscription-Based Rental
Service with Two-Classes of
Customers
Aussadavut Dumrongsiri1, Apurva
Jain2, Kamran Moinzadeh2
1Sirindhorn International Institute ofTechnology, Thammasat University,
Thailand
2University of Washington, United States

Yung-Hsin Chen
Sun Jing

Abstracts: see page 71

Felix Wriggers , Philip Fronia ,Sebastian Beck1, Peter Nyhuis1
1Leibniz University Hannover, Germany
1

Alireza Haji
Ana Paula Barroso

Green Supply Chain: How DoesIt Affect Current Supply Chain
Practice?
Qing Lu1, Wenkai Li1, Balan
Sundarakani1, Shun Cai1, Robert De
Souza1, Mark Goh1
1The Logistics Institute-Asia Pacific,
National University of Singapore,
Singapore▪

A Study of Markdown Policy inAggregate Production Planning
Environment by Developing a
APP-MP Model
William Chung1, Wenyun Zhu1
1City University of Hong Kong, Hong
Kong▪

A Study for Optimizing theReading rate of RFID Tagged
Cartons in Palletizing Process
Chiao Tzu Huang1, Li-Wen Lo1,
Wei-Ling Wang1, Hsin-Lin Chen1
1National Chin-Yi University ofTechnology, Taiwan▪

A Multi-Sourcing Model from a
Cost Heterogeneous Supply Base
Jishnu Hazra1
1Indian Institute of Management
Bangalore, India

25

Facilities Planning and Management

Manufacturing Systems 1

Manufacturing Systems 2

12/10/2008 11:00 - 12:30
Room: Jupiter 3

12/10/2008 13:30 - 15:00
Room: Jupiter 3

12/10/2008 15:30 - 17:30
Room: Jupiter 3

Chairs:Chairs:Chairs:Sydney Chu
Mahadev Talawar

Abstracts: see page 73▪

Location Selection Based on
AHP/ANP Approach▪

Abstracts: see page 75

▪

▪

2

▪

The Fragmented Warehouse:
Location Assignment for
Unit-load Picking▪

▪

Establishing Work Design
Criteria through a Highest
Expected Utility Neural Network
Model: An Automotive Trim CaseStudy

AHM Shamsuzzoha1, Petri Helo1, Tauno
Kekäle1
1University of Vaasa, Finland▪

Rolando Quintana1, Mark Leung1
1University of Texas at San Antonio,
United States▪

A Mathematical Programming
Method for Flow Path Design in
High-mix and Low-volume Flow
Manufacturing▪

A Paradigm for Group
Technology Cellular Layout
Planning in JIT Facility
Mark Leung1, Rolando Quintana1,
An-Sing Chen2
1University of Texas at San Antonio,
United States
2National Chung Cheng University,
Taiwan▪

▪

Integrated Quay Crane and Yard
Truck Schedule for InboundContainers
Der-Horng Lee1, Jin Xin Cao1, Qi Xin
Shi2
1National University of Singapore,
Singapore
2Tsinghua University, China▪

A Multi-plant Tolerance
Allocation Model for Assembled
Electronic Products

Solving a New Mathematical
Model for Cellular
Manufacturing System: Fuzzy
goal Programming
Mohammad Mahdi Paydar1, Iraj
Mahdavi2, Maghsud Soleimanpur3, Ali
Tajdin2
1Young Researchers Club, Islamic Azad
University, Babol Branch, Iran
2Mazandaran University of Science &Technology, Iran
3Faculty of Engineering, Urmia University,
Iran

Application of Modular Fixture
Elements Library cross Platforms
Based on Tabular Layouts ofArticle Characteristics and XML
Jin Cai1, Guolin Duan1, Xu Zhang1, Han
Cui1, Tao Yao1, Xuebin Chen1
1Hebei University of Technology, China

A Genetic Approach to Solving a
Hybrid Flow Shop Scheduling
Problem
Iraj Mahdavi1, Salim Mojarad1, Babak
Javadi1, Ali Tajdin1
1Mazandaran University of Science &Technology, IranFeng-Yi Huang1, Yuan-Jye Tseng1
1Yuan Ze University, Taiwan

Yunfang Peng1, Zailin Guan1, Li Ma1,
Chaoyong Zhang1, Peigen Li1
1Huazhong University of Science andTechnology, China▪

▪

Lean Manufacturing - a
Practitioner's Perspective

Managing Product Development
Complexities throughRestructuring Information
Exchange and Adopting
Configuration Principle

ART Based Cell Formation Using
Combined Operation Sequence
and Time
Mohapatra S S1, S. Sahu2,
SudhakaraPandian R3
1National Institute of Technology, India
2Indian Institute of Technology, Kharagpur,
India
3Kalasalingam University, India

Sachpreet Singh Aulakh1, Janpreet
Singh Gill1
1RIMT-Institute of Engineering &Technology, India

Stephen Ho1, Sanjay Sarma1
1Massachusetts Institute of Technology,
United States▪

Congruence between
Competitive Priorities andManufacturing Decisions: An
Exploratory Study
Sanjay Choudhari1, Gajendra Adil2,
Usha Anantha Kumar2
1National Institute of Construction
Management and Research, Indian
Institute of Technology-Bombay, India
2Indian Institute of Technology-Bombay,
India

Fuzzy Multi Criteria Decision
Making Method for Temporary
Storage Design in Industrial
PlantsMojtaba Heydar1, Reza
Tavakkoli-Moghaddam2, S. M.
Mousavi1, S. M. H. Mojtahedi1
1Islamic Azad University South Tehran
Branch, Iran2University of Tehran, Iran

Enrico Vezzetti
Roger Jiao

Abstracts: see page 74

Chang-Lin Yang , Shan-Ping Chuang ,Rong-Hwa Huang1, Chia-Chi Tai1
1Fu Jen Catholic University, Taiwan
2Huafan University, Taiwan
1

Iraj Mahdavi
Jiafu Tang▪

A Systematic Approach in Shoe
Last Design for Human Feet
Chung-Shing Wang1, Teng-Ruey
Chang2, Ming-Ching Lin1
1Tung-Hai University, Taiwan
2Nan-Kai University of Technology, Taiwan

Background Analysis for the
Application of EOQ Model in a
Three-stage Steel Roller
Production System with
Deterministic Demands andReturns
Yang Liu1, Jiafu Tang1, Richard Y.K.
Fung2
1Northeastern University, China
2The City University of Hong Kong, Hong
Kong▪

Cycle Time Reduction in
Assembly and Test
Manufacturing Factories: a KPI
Driven Methodology
Li Zheng1, Jing Xiao1, Forest Hou2, Wei
Feng1, Na Li1
1Tsinghua University, China
2Intel (Pudong) Corporation, China▪

Flexible Job Shop Scheduling
Problem Solving Based on
Genetic Algorithm with Model
Constraints
Xuan Du1, Zongbin Li1, Wei Xiong1
1Xi'an Jiaotong University, China▪

An Intuitive Framework to
Automate Feature-Rich Manual
Tasks and Manufacturing
Processes
Ioannis Georgilas1, Vassilios Tourassis1
1Democritus University of Thrace, Greece26

Engineering Education and Training

Safety, Security and Risk Management 1

Safety, Security and Risk Management 2

12/10/2008 11:00 - 12:30
Room: Mercury 1

12/10/2008 13:30 - 15:00
Room: Mercury 1

12/10/2008 15:30 - 17:30
Room: Mercury 1

Chairs:Chairs:Chairs:Amnon Gonen
Jindong Li

Abstracts: see page 76▪

Social Intelligence in Digital
Library Guide Designers
Hsing-yu Hou , Tung-Hsu Hou ,Hui-Jiun Hu2
1National Yunlin University of Science andTechnology, Taiwan
2Transworld Institute of Technology,
Taiwan1▪

Amnon Gonen , Eyal Brill , Motti Frank
1Holon Institute of Technology, Israel
2Decision Makers Ltd., Israel▪

Abstracts: see page 78

▪

▪

2

2

▪

▪

▪

Build an Education Resources
Allocation Planning Model of
School with Integrating
Information Technology
James K. C. Chen1, Kevin C. Y. Chen2,
Sin-Yi Lin2, Benjamin J. C. Yuan3
1Asia University, National Chiao Tung
University, Taiwan
2Asia University, Taiwan
3National Chiao Tung University, Taiwan

▪

▪

▪

▪

▪

▪

Probabilistic Risk Assessment
Framework Development for
Nuclear Power Plant
Tao Liu1, Jiejuan Tong1, Jun Zhao1
1Tsinghua University, China▪

Systems Engineering Based
Model for Risk Assessment: aCase Study
Changhua Li1, Leon Pretorius2
1Hefei University, China
2University of Pretoria, South Africa

Study of M-learning system for
Middle School
Young C. Park1
1Baekseok University, South Korea

Safety Analysis of Ship Technical
Systems Related to Variable
Operation Conditions
Krzysztof Kolowrocki1, Joanna
Soszynska1
1Gdynia Maritime University, Poland

Risks in Decision making Learning from the Brent Spar
Case
Mohammad Shahriari1, RolandÖrtengren1
1Chalmers University of Technology,
SwedenOn a Framework for Strategic andTactical Risk Management
Chengwei Lin1, Min Xie1, M. Salahuddin
Habibullah2
1National University of Singapore,
Singapore
2Institute of High Performance Computing,SingaporeOccupational Safety in Shared
Industrial Workplaces
Juha Vasara1
1Tampere University of Technology, Finland▪

▪

An analysis of Project Risks
using the Non-parametric
Bootstrap Technique
Saeid Alborzi1, A. Aminian2, S. M. H.
Mojtahedi3, S. M. Mousavi3
1Islamic Azad University Qazvin Branch,
Iran
2Islamic Azad University Gachsaran
Branch, Iran
3Islamic Azad University South Tehran
Branch, Iran

Health, Safety andEnvironmental Management Risk
Evaluation Strategy: Hazard
Matrix Application Case Studies
Assed Haddad1, Cláudia Morgado1,
Daniel DeSouza2
1Federal University of Rio de Janeiro, Brazil
2North Fluminense State University, Brazil

Safety Plan Process for PublicSports Buildings
Toni Hyytinen1
1Tampere University of Technology, Finland

Relevance of Technical Education
For Electrical TechniciansWorking In
Industry/Organization
Mahadev Talawar1, Mahadevi Banad1
1B.V.V.S. Polytechnic, India

Radiology Staff Scheduling
Under the Compressed
Workweeks

Safety of Railway Control
Systems: a New Preliminary Risk
Analysis Approach
Fateh Guenab1, Jean-Louis Boulanger1,
Walter Schon1
1Technology University of Compiegne,
FranceSerap Ulusam Seckiner1, M. B. Önay1
1University of Gaziantep, Turkey

Jindong Li1, Jixuan Feng1, Leela Green2
1Zhejiang Wanli University, China
2Stanford University, United States▪

Flight Risk Assessment to
Airlines Using Bayesian Belief
Networks and Fuzzy
Comprehensive Evaluation
Songbin Ding1, Yi Ru1
1Civil Aviation University of China, China

1

The Experience to Develop
Provincial Key Undergraduate
Program: Engineering Quality
Led Education forApplication-oriented Students

Mohammad Shahriari
Tao Liu

Abstracts: see page 77

On-line Training for
Improvement of Business
Decisions1

Assed Haddad
Krzysztof Kolowrocki▪

Collaboration Oriented Approachfor Managing Safety and Security
Risks in Organizations
Marinka Lanne1, Janne Sarsama1
1VTT Technical Research Centre of Finland,
Finland▪

A General Model of Ship
Technical Systems Safety
Krzysztof Kolowrocki1, Joanna
Soszynska1
1Gdynia Maritime University, Poland

27

Reliability and MaintenanceEngineering 4

Reliability and MaintenanceEngineering 5

Systems Modeling and
Simulation 1

12/10/2008 11:00 - 12:30
Room: Mercury 2

12/10/2008 13:30 - 15:00
Room: Mercury 2

12/10/2008 15:30 - 17:30
Room: Mercury 2

Chairs:Chairs:Chairs:Syed Rizwan
Mayorkinos Papaelias

Aditya Parida
Shi-Woei Lin

Szu Hui Ng
Jae-Yoon Jung

Abstracts: see page 79

Abstracts: see page 80

Abstracts: see page 81

▪

▪

▪

Maintenance Performance
Assessment (MPA) frameworkfor Engineering Asset
Aditya Parida1
1Luleå University of Technology, Sweden▪

Cost Estimation for MaintenanceContracts for Complex
Asset/Equipment

Maurizio Bevilacqua1, Filippo Emanuele
Ciarapica1, Giancarlo Giacchetta1
1Università Politecnica delle Marche, Italy▪

Anisur Rahman1, Gopinath
Chattopadhyay2
1Griffith University, Australia
2Central Queensland University, Australia▪

Empirical Bayes Methodology for
Estimating Equipment Failure
Rates with Application to Power
Generation Plants
Lesley Walls1, John Quigley1, Kenneth
Hutchison2, Mohammad Raza2
1University of Strathclyde, United
Kingdom
2Alstom Power, Switzerland▪

▪

Sunil Bhamare1, Om Prakash Yadav2,
Ajay Pal Singh Rathore1
1Malaviya National Institute of Technology,
India
2North Dakota State University, UnitedStatesWork Force Scheduling for
Mixture Policy of Preventive andCorrective Maintenance

A Combined Self-organizing
Map Neural Network with
Analysis Graphical Approach for
Mixed-weibull Parameter
Estimation
Pei-Hsi Lee1, Chau-Chen Torng1
1National Yunlin University of Science andTechnology, Taiwan

▪

▪

▪

▪

▪

▪

On Change Point of Mean
Residual Life of Parallel Systems

A Hybrid GA-Simulation
Approach to Improve JIT Systems
Ali Azadeh1, Vahid Ebrahimipour1,
Parisa Bavar1, Ehsan Shojaei2
1University of Tehran, Iran
2Islamic Azad University Abhar Branch,
Iran▪

Enhancing the Scheduling ofInterventional Radiology
Department Using Data Analysis
and Modeling and Simulation
Balagopal Gopakumar1, Shengyong
Wang1, Mohammad Khasawneh1,
Krishnaswami Srihari1, Joan
Hensberry2, Davette Cummings2
1State University of New York,
Binghamton, United States
2Wilson Memorial Regional Medical
Center, United States

Chunhua Chen1, Jiefang Li1, Haibo
Wang2
1South China University of Technology,
China
2Texas A&M International University,
Armenia▪

Development and Analysis of
Fuzzy Priority Rules for
Scheduling a Dynamic Job Shop
Production System
Vinod V.1, R. Sridharan1
1National Institute of Technology Calicut,
India

A Cure Rate Model in Reliability
for Complex System

Structure and Dynamics ofDistributed Leadership in the
Perspective of Social Network
Analysis

A Hybrid Simulation Model for
Manufacturing Systems Using
Event-State-Operation
Transitions
Dongphyo Hong1, Yoonho Seo1
1Korea University, South Korea

Jing Lin1, Huiming Zhu2
1SKF China Ltd, China
2Hunan University, China

A Novel Reliable Routing
Algorithm for Network on Chips
Maryam Raiyat Aliabadi1, Ahmad
Khademzadeh1, Mohammd Raiyat
Aliabadi2
1Iran Telecommunication Research Center,
Iran
2Malek-e-Ashtar University of Technology,
Iran

A Multi-Objective Optimization
Approach for Defining Optimal
Design Specifications
Considering Performance
Degradation

A Method for FE Simulation ofSerrated Chip Formation during
High Speed Machining Hardened
Steel
Chunzheng Duan1, Yujun Cai2,
Yuanyuan Li1, Minjie Wang1
1Dalian University of Technology, China
2Tianjin Key Laboratory of High Speed
Cutting & Precision Machining,
University of Technology and Education,
China

A B-Spline Approach to
Alternating Current Field
Measurement for Railroad
Inspection
Mayorkinos Papaelias1, Fausto Pedro
García Márquez2, Jesus Miguel Chacón
Muñoz2, Clive Roberts1
1The University of Birmingham, United
Kingdom
2University of Castilla-La Mancha, Spain

Sakon Wongmongkolrit1
1Kasetsart University, Thailand▪

Spare Parts Inventory Control for
the Maintenance of Productive
Plants▪

Yan Shen1, Min Xie1, Loon Ching Tang1
1National University of Singapore,
Singapore

A MDA Approach for Semi
Automatic Grid Services
Workflows Composition
Yousra BenDaly Hlaoui1, Leila Jemni
BenAyed1
1Research Unit of Technology ofInformation and Communication Tunis,
Tunisia▪

Re-Engineering Fiber Optic
Production Process by
Simulation, Design for AssemblyLine
Wichai Chattinnawat1
1Chiang Mai University, Thailand▪

Grazing-Sliding Bifurcation
Induced by Dry-Friction in a
Braking System
Fenghong Yang1, Hongzhi Tong2, Yun
Tang3
1Central University of Finance andEconomics, China
2University of International Business andEconomics, China
3Tsinghua University, China

28

E-Business and E-Commerce 1

E-Business and E-Commerce 2

Information Processing and Engineering

12/10/2008 11:00 - 12:30
Room: Mercury 3

12/10/2008 13:30 - 15:00
Room: Mercury 3

12/10/2008 15:30 - 17:30
Room: Mercury 3

Chairs:Chairs:Chairs:Jae-Yoon Jung
Chui Young Yoon

Tien-Lung Sun
Raj Siriram

Yisong(Lydia) Zheng
Michel Aldanondo

Abstracts: see page 82

Abstracts: see page 83

Abstracts: see page 84

▪

▪

▪

The Use of E-SQ to Establish theInternet Bank Service Quality
Table
Yu-Lung Wu1, Michael C.S Chang1,
Pei-Chi Yang1, Ying-Jun Chen1
1I-Shou University, Taiwan▪

Success Factors of E-Learning
System Based on Students'
Perspectives
Su-Sui Lin1, Kwo-Ting Fang2
1National Yunlin University of Science andTechnology, Hsiuping Institute ofTechnology, Taiwan
2National Yunlin University of Science andTechnology, Taiwan▪

▪

Kuo-shien Huang1, Shun-ming Tang1
1National Yunlin University of Science andTechnology, Taiwan

▪

▪

▪

Antonio Aguiar1, Keshavamurthy
Ramamurthy1, Antonio Reis2
1University of Wisconsin Milwaukee,
United States
2Technical University of Lisbon, Portugal

Interactive 3D Visualization ofCustomized Products with
Behaviors

Design of the Collaborative
Commerce System Model: an
Application Issue in Theme Parkof China
Mu Zhang1, Yi Chen2, Junyong Lai1
1Shenzhen Tourism College of Jinan
University, China
2Shenzhen Happy Valley Corporation,
China

▪

Monitoring Usage Behavior in
Subscription-based Services
Using Control Charts forMultivariate Attribute
Characteristics
Yaser Samimi1, Abdollah Aghaie1
1K. N. Toosi University of Technology, Iran

▪

▪

▪

▪

▪

One-Against-One Fuzzy Support
Vector Machine Text
Categorization Classifier
Huei-Min Chiang1, Tai-Yue Wang2
1National Cheng Kung University, Nan
Jeon Institute of Technology, Taiwan
2National Cheng Kung University, Taiwan▪

Integration of RFID with Mobile
Commerce for Consumer
MarketingCarman Ka Man Lee1, Stephen X.J.
Chen1, C.A. Mitrea1
1Nanyang Technological University,
Singapore▪

Service Integration Toward
Ubiquitous Business Process
Management
Jae-Yoon Jung1, Jaehyun Kong2, Jinwoo
Park2
1Kyung Hee University, South Korea
2Seoul National University, South Korea

Research Into The Driver's Route
Choice Under Existing Real-Time
Traffic Information
Yisong(Lydia) Zheng1, Qian Wang1,
Ling Wang2, Mo Kuang3
1Nankai University, China
2China University of Political Science andLaw, China
3Southwest Jiaotong University, China

Applying Coloured Activity Net
to Model Interorganizational
Workflow
Hong Feng Lai1, S. G. Chen2, W.-H. Jeng3
1National United University, Taiwan
2Tungnan University, Taiwan
3Minghsin University of Science andTechnology, Taiwan

Data Mining for Managing Stock
Keeping Units
Shieu-Hong Lin1
1Biola University, United States

Analysis on the Quantity Effectof Electronic Secondary Market
on the Perishable Goods Supply
Chain

Electronic Procurement Systems:
an Integrative Model to Explain
Procurement Performance

Business Application Integrationin the Demand-driven
Environment - a Case Study
JrJung Lyu1, Ping-Shun Chen2
1National Cheng Kung University, Taiwan
2Chung Yuan Christian University, Taiwan

Chu Shan1, Yaobin Lu1
1Huazhong University of Science andTechnology, China

Tien-lung Sun1
1Yuan-Ze University, Taiwan▪

A New Collaborative Filtering
Approach Utilizing Item's
Popularity
Weiwei Xia1, Liang He1, Lei Ren1,
Meihua Chen1, Junzhong Gu1
1East China Normal University, China

An Explore Study of Non-Using
Online-Auction People
Chwen-Yea Lin1, Chien-Chung Tu2,
Kwoting Fang1
1National Yunlin University of Science andTechnology, Taiwan
2Transworld Institute of Technology,
TaiwanA Web Services Based
Framework for RFID Bike Rental
Business Solutions

Component Based Design Data
Version Management andVisualization in IMS-DATE
Dongliang Cui1, Guoqi Feng1
1Northeastern University, China▪

A Closed-loop Engineering
Approach for Modular Design
Based on Collaboration And
Optimization
Yanqiu Xiao1, Qing Xue1, Aimin Wang1,
Houfang Sun1, Guoxin Wang1
1Beijing Institute of Technology, China

29

Poster Session 2

p.86

12/10/2008 10:30 - 11:00, 15:00 - 15:30
Room: Venus 1
p.85

Modeling a Combination of
Projects Selection SystemUsing the Mahalanobis
Taguchi System
Ching-Lien Huang1, Chang-Lin
Yang2, Tsung-Shin Hsu3, Chih-Ming
Liu4
1Lunghwa University of Science andTechnology, Tsing Hua University,
Taiwan2Fu Jen Catholic University, Taiwan
3National Taiwan University of Scienceand Technology, Taiwan
4Tsing Hua University, Taiwan

p.85

p.85

p.86

p.86

Sunil Deshmukh1, Ramesh Lakhe2
1B.D. College of Engineering, Wardha,
India
2Shreyas Quality Management System,
India

p.85

Effects of Heterogeneous
Variance on Xbar Chart
Wichai Chattinnawat1
1Chiang Mai University, Thailand

p.85

Adoption of Iris-Based
Authentication

p.86

p.87

The Research of Noise Induced
Tympanic Membrane
Perforation in Cotton Textile
Industry

p.87

p.87

p.88

The Empirical Impact Analysis
of Technical Barrier of Trade(TBT) to China’s Vegetable
Export to Japan

Propagation and Control of
Quality in the Extended
Manufacturing Supply Chain:
Theoretical Models,Methodologies and
Implementation Perspectives

p.88

Shuang Li , Xiangyu Guo , Wei Qian
Northeast Agricultural University,
China

Marco Wibbelmann1, Kai Cheng2,
Alistair Forbes3
1National Physical Laboratory, Brunel
University, United Kingdom
2Brunel University, United Kingdom
3National Physical Laboratory, United
Kingdomp.86

Study on Testing Strategies forStandby Systems
Min Wang1, Mingchih Chen1
1Chaoyang University of Technology,
Taiwan

30

p.87

1

The Market Entry/Exit Modelon the Free Internet Service
Firm

p.87

p.88

1

Business Transformation of
SMEs from "Product Supplier"to "Value Provider" Supported
by an Extended ProductBusiness Model
Kim Jansson1, J. Hemilä1
1Technical Research Centre of Finland,
Finland

Profit-sharing Mechanisms for
the Production-Distribution
Alliance
Hsin Min Chen1, Haw-Lieng Huang1,
Chien-Chung Lo1
1National United University, Taiwan

Tyrone T. Lin , Hai-Ling Kang
1National Dong Hwa University,
Taiwan1

System Modeling and
Simulation of Order
Processing Based on Extend
TechniqueYeqing Jia1, Xiaoxiao Jia2
1Southeast University, China
2University of Arkansas, United States

1

p.85

Study on the Collaborative
Production Systematic
Platform for Chinese
Automobile Manufacturing
Supply-demand Network
Zhaofang Mao1, Ershi Qi2, Xiaomei
Li1, Fu Jia3
1Tianjin University Science Park,
Tianjin University, China
2Tianjin University, China
3Cranfield University, United Kingdom

Research of Evaluating
Credit-Risk in PowerEnterprise Based on SVM and
VIKOR Method

1

A Multi-Objective Reverse
Logistics Network for Product
Returns
Chien-Chung Lo1, Hsin Min Chen1,
Haw-Lieng Huang1
1National United University, Taiwan

Multi-Hierarchy and
Fine-Grained Task-role-based
Access Control in
Collaborative Environments

1

Optimal OutboundDispatching Policy with
PricingKi-sung Hong1, Chulung Lee1
1Korea University, South Korea

Yuansheng Huang1, Ying Yan1
1North China Electric Power
University, China

p.86

Research on Supply Chain
Cost Reduction Based on
Process and Time Analysis
Taoyong Su1, Xinghui Lei1
1Tongji University, China

Junqing Li1, Xinyou Li2, Shengxian
Xie1, Chen Chen2, Guangliang Liu1,
Yuxia Pan1
1Liaocheng University, China
2Information Security Research andServices Center, China

An Empirical Study on Total
Quality Management in
Maintenance and Repair
Workshops in India
V. K. Sahu1, Geeta Agnihotri1, C. M.
Sadiwala2
1Maulana Azad National Institute ofTechnology, India
2Rajeev Gandhi Prodhogiki
Mahavidyalaya, India

p.87

Shiqiang Wang1, Ruixiang Song1,
Kun Yao1, Yu Wang1
1Beijing Municipal Institute of Labor
Protection, China

p.86

Mapping TQM-Innovation
Relationship on Learning
Organization: A Strategic
Management Perspective
Wen-Jung Chang1, Shu-Hsien Liao1,
Christina Tay2, Chi-Chuan Wu1
1Tamkang University, Taiwan
2National Chengchi University, Taiwan

Shahriar Mohammadi1, Arman
Kaldi1
1K. N. Toosi University of Technology,
IranBusiness Engineering with
Scenario Technique

Six Sigma - An Innovative
Approach For Waste
Reduction: A Case Study Of
An Indian SME

Simulation-based FDP & FCP
Analysis with Queueing
ModelsQingpei Hu1, Rui Peng2, Szu Hui
Ng2, Huaiqing Wang1
1City University of Hong Kong, Hong
Kong
2National University of Singapore,
Singapore

Comparison and Modificationof Customer Satisfaction
Indexes
Te- King Chien1, Wei-Cai Jheng1,
W.L. Lai2
1National Formosa University, Taiwan
2Takming University of Science andTechnology, Taiwan

p.87
p.86

Volker Grienitz1, Volker Blume1
1University of Siegen, Germany

p.85

p.87

Chunmei Han1, Wenping Wang2
1Southeast University, Nanjing Metro
Science & Technology Consultation Co.,
Ltd, China
2Southeast University, China

Optimization of Feature
Weights and Number of
Neighbors for Analogy Based
Cost Estimation in Software
Project Management
Yanfu Li1, M. Xie1, T. N. Goh1
1National University of Singapore,
Singapore

Dynamic Process ofInformation Distribution in
Metro Emergency Management
Network

A Study on the Inventory andPricing Model for Reverse
Logistics: An Application on
Reuse of Refillable Containers
Haw-Lieng Huang1, Hsin Min Chen1,
Chien-Chung Lo1
1National United University, Taiwan

p.88

Wealth Effect of TechnologicalInnovations on Supply Chains:
An Event Study
Chao-Chen Hsieh1, Jun-Zhi Chiu2
1National Cheng Kung University, KaoFong College, Taiwan
2I-Shou University, Kao Fong College,
Taiwanp.88

Modelling for Dynamic
Simulation of Pretreatment inReverse Osmosis Plants
S. Syafiie1, Fernando Tadeo2, Luis
Palacin1, Cesar de Prada2, Johanna
Salazar1
1Centro de Tecnologia Azucarera, Spain
2University of Valladolid, Spain

p.88

The Impact of ERP
Implementation on Corporate
SCM Performance: from an
Operational and Information
Integration Perspective
Chyan Yang1, Yi-fen Su2
1National Chiao Tung University,
Taiwan2National Chiao Tung University,
Minghsin University of Science andTechnology, Taiwan

p.88

The Study on the Developmentof Inland-River Container
Transportation Corridor of
Yangshan Deepwater PortXu Zhao1, Weijun Fei1, Weihong Zou1
1Dalian Maritime University, China

p.89

The Study on Empty
Containers Allocation in theContainer Transportation
Ran Wang1, Xu Zhao1, Wenhao Yu1,
Weihong Zou1
1Dalian Maritime University, China

p.89

Critical Factors for SMEs
Innovation Performance inInnovation Networks
Jin Chen1, Xiangzhen Yu1, Wangfang
Li1, Xiaozhou Fu1
1Zhejiang University, China

p.89

The Study of SVM Optimized
by Culture Particle Swarm
Optimization on Predicting
Financial Distress
Jianguo Zhou1, Tao Bai1, Jiming
Tian1, Aiguang Zhang1
1North China Electric Power
University, China

p.89

Cooperative Stock Document
Mortgage Financing Game
under Inhouse Consignment
Structure
Yuanyuan Zhang1
1China University of Petroleum at
Beijing, China

p.89

Concept Selection for Market
Potential Using Fuzzy
Selection Approach
Wen Feng Lu1, Jie Sun1, Han Tong
Loh1, C. W. Chua1
1National University of Singapore,
Singapore31

Systems Modeling and Simulation 2

Systems Modeling and Simulation 3

Project Management 2

12/11/2008 09:00 - 10:30
Room: Venus 2

12/11/2008 11:00 - 12:30
Room: Venus 2

12/11/2008 09:00 - 10:30
Room: Jupiter 1

Chairs:Chairs:Chairs:Krishnaswami Srihari
Sridharan R

Abstracts: see page 90▪

Optimizing the Selection of
Product Recovery Options▪

Abstracts: see page 92

▪

▪

1

Evaluating the Layout of theEmergency Department of a
Public Hospital Using Computer
Simulation Modeling: A Case
Study

Kriging Model with Modified
Nugget Effect for Random
Simulation with Heterogeneous
Variances
Jun Yin , Szu Hui Ng , Kien Ming Ng
1National University of Singapore,
Singapore
1

▪

1

▪

The Impact of Storage Block
Assignment for ImportContainers on Agv Dispatchingin Highly Automated Seaport
Container Terminals
Rico Gujjula1, Hans-Otto Günther1
1Berlin Institute of Technology, Germany▪

1

Organisational Readiness and Its
Impact on ERP Acquisition: A
Longitudinal Study of an Indian
Dairy Processing Unit

Optimization of Operator
Allocation in a Large Multi
Product Assembly Shop throughIntegrated Computer Simulation
and Genetic Algorithm
Ali Azadeh1, Vahid Ebrahimipour1,
Sahar Tadayon1
1University of Tehran, Iran

Mohammad Khadem1, Hamdi Bashir1,
Yasin Al-Lawati1, Fatma Al-Azri1
1Sultan Qaboos University, Oman▪

▪

Omar Bataineh , Hamzeh Abdulla ,Ahlam Abu-Saif1
1Jordan University of Science andTechnology, Jordan
1

Monsoon Risks for Construction
Sites in India
Himadri Guha1, Partha Pratim Biswas1
1Jadavpur University, India▪

Formulation of the Size andPosition of Spiral Cooling
Channel in Plastic Injection Mold
Based on Fluent Simulation
Results
Ir Fauzun1, M. Hamdi2, A. E. Tontowi3,
T. Ariga4
1University of Malaya, Gadjah Mada
University, Malaysia
2University of Malaya, Malaysia
3Gadjah Mada University, Indonesia
4Tokai University, Japan

32

▪

▪

▪

Suresh Kumar N. , R. Sridharan
1National Institute of Technology Calicut,
India
1

1

Fuzzy Group Decision Making: A
Case Using FTOPSIS in Mega
Project Risk Identification andAnalysis Concurrently
S. M. H. Mojtahedi1, S. M. Mousavi1, A.
Aminian2
1Islamic Azad University South Tehran
Branch, Iran
2Islamic Azad University Gachsaran
Branch, Iran▪

An Incremental Approach for
Temporal Analysis in Networks
with Imprecise Activity and TimeLag Durations
Siamak Haji Yakhchali1, Hassan
Ghodsipour1, S. M. T. Fatemi Ghomi1
1Amirkabir University of Technology, Iran1

Performance of a Flexible
Manufacturing System Operating
Under Part Movement Policy andTool Movement Policy:
Simulation Modelling andAnalysis

A Royalty Negotiation Model for
BOT Projects: A Bi-level
Programming Approach
Chao-Chung Kang1, Cheng-Min Feng2,
Chiu-Yen Kuo2
1Providence University, Taiwan
2National Chiao Tung University, Taiwan

Effect of Part Launching
Decisions on the Performance ofa Flexible Manufacturing System:
A Simulation Study

Development and Application of
a Metaheuristic Optimization
Procedure Integrated with
Simulation for a Bus Transit
SystemProject Management Trends in IS
Development: A Study of the IT
Sector in China
Younes Benslimane1, Zijiang Yang1
1York University, Canada

O.A. Joseph1, R. Sridharan1
1National Institute of Technology Calicut,
India

Harekrishna Misra1
1Institute of Rural Management Anand,
India

▪

Ronald Beckett
Volker Grienitz

Abstracts: see page 91

Hendrik Lamsali , Jiyin Liu
1Loughborough University, United
Kingdom1

Harekrishna Misra
Szu Hui Ng▪

Hybrid Management Model
Combining Process Management
and Project Management in Local
Administration
Manuel Monterrey1, David de la Fuente1
University of Oviedo, Spain

1▪

Progress in Large-shared Projects:
Method for Forecasting andOptimizing Project Duration in aDistributed Project
Rameez Khalid1, Philippe Duquenne1,
Alain Hait1
1Université de Toulouse, FranceProject Management 3

Supply Chain Management 4

Supply Chain Management 5

12/11/2008 11:00 - 12:30
Room: Jupiter 1

12/11/2008 09:00 - 10:30
Room: Jupiter 2

12/11/2008 11:00 - 12:30
Room: Jupiter 2

Chairs:Chairs:Chairs:Thomas Frisanco
Ronald Beckett

Ana Paula Barroso
Adam T.S. Ng

Carman Ka Man Lee
Ming-Der May

Abstracts: see page 93

Abstracts: see page 94

Abstracts: see page 95

▪

▪

▪

Process Management System for
the Integration of Situation
Dependent Process Planning
Wolfgang Lauer1, Matthias Faerber2,
Julia Roelofsen1, Florent Jochaud2,
Stefan Jablonski2, Udo Lindemann1
1Technical University of Munich, Germany
2University of Bayreuth, Germany

▪

▪

▪

▪

Mehdi Sajadifar1, Amir Mahdi Hendi1,
Rasoul Haji2
1University of Science and Culture, Iran
2Sharif University of Technology, Iran▪

Robust Design for Optimal
Project Management with
Reliability and Cost

Development of Joint VenturePartner Capabilities Assessment
Model: The Case of Eskom
Enterprises, South Africa
Michael Kachienga1
1University of Pretoria, South Africa▪

Realizing InstantCustomerization ThroughProactively Enhancing Demand
Visibility
Zhongjun Tang1, Xiaohong Chen1, Jing
Xiao1
1Central South University, China▪

A Method of Bottleneck Control
in Build-to-order Supply Chain
Yimin Xu1, Shihua Ma2
1Huazhong University of Science andTechnology, Guangdong University ofTechnology, China
2Huazhong University of Science andTechnology, China

A Review of Planning and
Scheduling in the Pulp and Paper
Supply Chain
Mohsin Malik1, Min Qiu1
1University of Western Australia, Australia▪

Location-Routing Based Dynamic
Vehicle Routing Problem for
Express Pick-Up Service

Exact Evaluation of a Two
Sourcing Supply Chain with
Order Splitting and Information
Sharing

Coordinated Production Planningin Supply Chains
Richard Lackes1
1Technische Universität Dortmund,
Germany

The Impact of Uncertain
Environment on Rice Supply
Chain Performance in Northeast
ThailandPhatcharee Thongrattana1, Peter
Robertson2
1Kasetsart University, Thailand
2University of Wollongong, Australia

Ming-Der May1, Chan-Yu Tu1
1Lung Hwa University of Science andTechnology, Taiwan

Angus Jeang1
1Feng Chia University, Taiwan▪

RFID-Enabled Aerospace
Manufacturing: Theoretical
Models, Simulation and
Implementation Issues
Khir Harun1, Kai Cheng1, Marco
Wibbelmann1
1Brunel University, United Kingdom

A Neuro-Fuzzy Approach togenerate Customer Satisfaction
Model for New ProductDevelopment
C. K. Kwong1, T. C. Wong1
1Hong Kong Polytechnic University, Hong
Kong

▪

▪

Organizing Project-Based Group
Communication Events: A Macro
Perspective
Chung-Yang Chen1, Pei-Chi Chen2, W.L.
Tsai1
1National Central University, Taiwan
2Trend Micro Incorporated, Taiwan▪

Vineet Varma , Gopinath
Chattopadhyay1
1Central Queensland University, Australia
1

Correlation Analysis between
Maturity Factors andPerformance Indexes in Software
Project
Xiangnan Lu1, Lang Shu1, Jie Li1
1Zhejiang University, China

Integrated Model for Sustainable
Development▪

Research on the Subdivision ofTransaction Cost in Supply Chain
Based on Analysis of Enterprises
Relation
Xing-hui Lei1, Ke Zhang1
1Tongji University, China▪

A Supply Chain DisturbancesClassification
Ana Paula Barroso1, Virginia Machado1,
Virgilio Cruz-Machado1
1UNIDEMI, FCT-UNL, Portugal▪

A Simulation Study on the
Impact of Forecasting Methods
on the Bullwhip Effect in the
Supply Chain
S. Kamal Chaharsooghi1, HamidReza
Faramarzi2, Jafar Heydari1
1Tarbiat Modares University, Iran2Wilfrid Laurier University, Canada

33

Global Manufacturing andManagement 1

Global Manufacturing andManagement 2

Human Factors 1

12/11/2008 09:00 - 10:30
Room: Jupiter 3

12/11/2008 11:00 - 12:30
Room: Jupiter 3

12/11/2008 09:00 - 10:30
Room: VIP Room

Chairs:Chairs:Chairs:Jiafu Tang
Anil Verma

Masahiro Aruga
David de la Fuente

Abstracts: see page 96

Abstracts: see page 97

Abstracts: see page 98

▪

▪

▪

Alternative Value Creation
Strategies in the Footwear
Industry: Exploring the Role ofProduction Offshoring
Antonio Verdu-Jover1, Jose Maria
Gomez-Gras1, Ignacio Mira-Solves1,
Jesus Martinez-Mateo1
1Miguel Hernandez University, Spain

▪

▪

▪

Developing a Feedback Model ofBrand Development - A Case in
Point of the Laptop Computer
Industry in Taiwan
Chun-Fu Chen1, Chin-Huang Lin2,
Hsin-Yun Hu3
1Nanya Institute of Technology, Taiwan
2Chung Hua University, Taiwan
3Hsin Sheng College of Medical Care andManagement, Taiwan▪

SOCRADES: a Framework forDeveloping Intelligent Systems
in Manufacturing
Alessandro Cannata1, Marco Gerosa1,
Marco Taisch1
1Politecnico di Milano, Italy

Operational CompetitivenessResearch of Chinese High-Tech
International Manufacturing
Company in Global Context▪

Partial Chain based GA for Joint
Inventory and Delivery
Scheduling with Vehicle Rent
Way

▪

▪

▪

Knowledge Sharing forStrengthening Manufacturing
Operation and Business
Performance
Tsu-Te Huang1, Rodney Stewart1, Le
Chen1
1Griffith University, Australia

Automatic Feature Extraction
from Front and Side Images
Yueh-Ling Lin1, Mao-Jiun Wang1
1National Tsing Hua University, Taiwan▪

▪

A Multi Objective Approach for
Selecting Solutions to Improve
Job Satisfaction - An Empirical
Case Analysis
Vahid Baradaran1, Shohreh Ghadami2,
seyyed ehsan malihi3
1Islamic Azad University Tehran North
Branch, Iran2Sazeh Gostar Saipa, Iran
3Tarbiat Modares University, IranResource-Configurations for
Manufacturing Networks:
Matching Plant Capabilities to
Product Value
I-Chen Wang1
1University of Illinois at
Urbana-Champaign, United States

Research on Cooperative Game
Model of Ship Owner andSeafarer
Xu Zhao1, Shuang Zhang1, Wei Zhang1,
Weihong Zou1
1Dalian Maritime University, China

Jiafu Tang1, Xinggang Luo1, Jun Zhang1
1Northeastern University, China▪

A Qualitative Study in Consumer
Behavior of Skype Internet Phone
Chia-Chen Yen1, Jih-Shih Hsu1
1National Yunlin University of Science andTechnology, Taiwan

Shubin Si1, Josu Takala2, Yang Liu2,
Rayko Toshev2, Zhi Tang2
1Northwestern Polytechnical University,
China
2University of Vaasa, Finland

Research on Procedures andModel of Flexible Selection of
Manufacturing Strategy
Competitive Priorities
Fengjing Han1, Chun-sheng Shi2
1Harbin Institute of Technology,
Heilongjiang Institute of Science andTechnology, China
2Harbin Institute of Technology, China▪

▪

An Exploration of thePre-development Phase in New
Zealand Small-to-medium
Enterprises
Warren Baier1, Aruna Shekar2
1Hansen Products (NZ) Limited, New
Zealand2Massey University, New ZealandComparative Investigation on
Green Supplier Selection of theAmerican, Japanese andTaiwanese Electronics Industry in
China
Cherng-Ying Chiou1, Chia-Wei Hsu2,
Wei-Yi Hwang3
1The Overseas Chinese Institute ofTechnology, Taiwan
2National Taipei University of Technology,
Taiwan3National Chung Hsing University, Taiwan

Evaluating the Performance of
Global Telecom Operators
Wen-Min Lu1, Shiu-Wan Hung2,
Chih-Jou Chen2
1National Defense University, Taiwan
2National Central University, Taiwan

34

Ralph Riedel
Chengter Ho

Risk Bayesian Assessment
Approach to HOF-based Ship
Operation in Harbour
Shenping Hu1, Cunqiang Cai1, Quangen
Fang1
1Shanghai Maritime University, China▪

Japanese Tourists’ Perceptions of
Shopping at Taiwan Night
Markets
Chia-Ching Tu1, Dian Yan Liou2
1National Changhua University of
Education, Taiwan
2Yu Da College of Business, Taiwan

Human Factors 2Intelligent Systems

Quality Control and Management 3

12/11/2008 11:00 - 12:30
Room: VIP Room

12/11/2008 09:00 - 10:30
Room: Venus 3

12/11/2008 11:00 - 12:30
Room: Venus 3

Chairs:Chairs:Chairs:Vahid Baradaran
Mohammad Khadem

Carman Ka Man Lee
Iraj Mahdavi

Lianjie Shu
Wanbo Lu

Abstracts: see page 99

Abstracts: see page 100

Abstracts: see page 101

▪

▪

▪

An Ergonomics Intervention
Study of Reducing HealthComplaints among Office
Employees
Ashraf Shikdar1, Mohammad Khadem1,
Salim Al-Harthy1
1Sultan Qaboos University, Oman▪

A Human Factor Fault Tree
Analysis Method For Software
Engineering
Yanyan Zheng1, Renzuo Xu1
1Wuhan University, China▪

▪

Tung-Chen Huang1
1Leader University, Taiwan▪

Rating Consistence of Color
Combinations for Aesthetic
Preference, Legibility andcomfort for Small Icons

The Consideration of the Partial
Differential Equations and theInformation Transmitting
Structure as the Background of
the ABR Derivation andCharacteristics

Ordinal Logistic Regression for
Affective Product Design
Feng Zhou1, Du Wu2, Xi Yang1,
Jianxin(Roger) Jiao1
1Nanyang Technological University,
Singapore
2Tianjin University, China▪

Management of Working Shifts
Using The Constraint
Programming Paradigm
David de la Fuente1, Jesus Lozano1
1University of Oviedo, Spain

Using RFID Technology on
Clinic's Pharmacy Operation
Management and Developmentof Intelligent Medicine
Dispensing Cabinet
Shien Chii Shieh1, Chang-Ching Lin2,
TaiFu Yang1, Gu-Han Tu1
1Tung Nan University, Taiwan
2St. John's University, Taiwan▪

Masahiro Aruga1, Shuichiro Ono1,
Kiyotaka Takagi1, Tsukasa Sato1, Shuichi
Kato2
1Tokai University, Japan
2Teikyo Heisei University, Japan▪

Prior Training with Jittered Series
for Time Series Forecasting

▪

▪

▪

▪

▪

Control of Robotic Manipulators
Via Supervision of the Free
Design Parameters and Sampling
Rate▪

Enrico Vezzetti1, Antonio Zompì1
1Polytechnic of Turin, Italy

Statistical Monitoring ofMultivariate Linear Profiles
Abbas Saghaei1, Rassoul Noorossana2,
Majid Eyvazian2, Abolfazl Vaghefi2
1Islamic Azad University, Science andResearch Branch, Iran
2Iran University of Science and Technology,
IranMichel Aldanondo1, Elise Vareilles1,
Meriem Djefel2, Claude Baron3
1University of Toulouse - Mines Albi - CGI,France2University of Toulouse - Mines Albi - CGI,
University of Toulouse - LATTIS - INSA,France3University of Toulouse - LATTIS - INSA,FranceReverse Engineering: a
Methodology for Supporting
Smart Free - Form Digitalization

Bayesian Sequential Estimationand Evaluation of Process
Capability Indices with Multiple
Subsamples
Huiming Zhu1, Keming Yu2
1Hunan University, China
2Brunel University, United Kingdom

Product and Process
Configuration : A Constraint
Based Approach

Manuel de la Sen1, A. Almansa1, J. C.
Soto1
1Instituto de Investigación y Desarrollo de
Procesos, Spain

Study on Weight of theAssessment Criteria for Thailand
Quality Award
Warapoj Meethom1, Attakorn Kengpol2
1Mananakorn University of Technology,
Thailand
2King Mongkut's University of Technology
North Bangkok, Thailand

Adnan Hassan1
1Universiti Teknologi Malaysia, Malaysia

Shih-Miao Huang1
1National Formosa University, Taiwan▪

Ensemble ANN-Based
Recognizers to Improve
Classification of X-bar Control
Chart Patterns

Applying Six Sigma Techniquesin Plastic Injection Molding
Industry
Tarek Safwat1, Aziz Ezzat2
1National Company for Packaging
Industries NATPACK, Egypt
2Arab Academy for Science and Technology,
Egypt

On Evaluating the Measurement
Capability of High-quality
Processes
JrJung Lyu1, MingNan Chen1
1National Cheng Kung University, Taiwan▪

Regression-Based Limits forMultivariate Poisson Control
Chart
Tsen-I Kuo1, Jing-Er Chiu2
1National Kinmen Institute of Technology,
Taiwan2National Yunlin University of Science andTechnology, Taiwan

35

Poster Session 3

p.103

12/11/2008 10:30 - 11:00
Room: Venus 1
p.102

p.102

p.103

Mani Tousi , Esmaeil
Mesgarpourtousi2
1McGill University, Canada
2Tehran-Boston Engieers, Iran

p.103

Research on Constructing the
Framework of Urban
Emergency Response System
Based on Multi-Agent System
Xia Wang1, Chunjing Ge1, Xianjun
Guan1
1Tongji University, China

p.102

p.103

p.103

Optimization of Emergency
Logistics Delivery Model Basedon Anti-bioterrorism

The Study of Factors Impactingon Organizational Innovation in
Financial Holding Company

p.103

Chih-Chung Chen , Yung-Her
Yang1, Shi-Ting Hsiung1
1Aletheia University (Matou campus),
Taiwanp.102

Co-creation Value with
Customers and Firm's
Capabilities

p.104

Xiang Zhang , Guoxin Wang ,JingChang Shangguan1, Yanqiu
Xiao1
1Beijing Institute of Technology, China
1

p.102

1

Knowledge Sharing Behavior,
Antecedent and its Influence
Towards the Company's
Innovation Capability
Hilmi Aulawi1, Iman Sudirman1,
Kadarsah Suryadi1, Rajesri
Govindaraju1
1Bandung Institute of Technology,
Indonesia

p.103

p.103

How an Incubating Network
Works? Review and Evidence
Dechang Lin1, Zhuoxin Li1, Hong
Yin1, Qiang Lu1, Hongwei Wang2
1Shenzhen Graduate School, Harbin
Institute of Technology, China
2Zhejiang University, China

36

p.105

Supporting Decision-making
for Secure Resource Sharing
between Coworkers Using an
Affective-based Trust
Evaluation Model

p.104

p.105

Ying-Hua Huang1, Hsun-Yi Huang1
1National Yunlin University of Scienceand Technology, Taiwan

p.105

p.105

p.105

2

Formal Semantics for
Component Assembly Patternof Software Architecture

Application of the Fuzzy
Comprehensive Evaluation
Method Based on Entropy
Weight and AHP in
Maintenance Mode Decision of
the Power Plant equipment
Kun-liang Chen1, Yu-jiong Gu1, Kun
Yang1
1North China Electric Power
University, China

Research of Time-of-Use
Electricity Pricing Models in
China: A Survey
Shaolun Zeng1, Jun Li2, Yulong Ren3
Chongqing University, Sichuan
University of Science & Engineering,
China
2Sichuan University, China
3Chongqing University, China
1

Risk Based MaintenanceDecision on Power Station High
Press Feed Water System
Yuliang Dong1, Yujiong Gu1,
Kunliang Chen1
1North China Electric Power
University, China

p.104

An Empirical Study on
Inexperienced Online
Consumer’s Window Shopping
Behavior: a Trust-cost-behavior
Model
Fue Zeng1, Hua Zhang2
1Wuhan University of China, China
2City University of Hong Kong, Hong
Kong

Jieh-Haur Chen , Li-Ren Yang ,Mu-Chun Su1, Jia-Zheng Lin1
1National Central University, Taiwan
2Tamkang University, Taiwan

p.104

Optimization of Bridge
Elements Maintenance Strategy

Wei Guo1, Sheng Xu1, Renzuo Xu1
1Wuhan University, China

Optimal Construction
Sequencing for Secant Pile Wall1

Testability Demonstration
Method of Electronic
Equipment Based onHypergeometric Distribution
Yanheng Ma1, Jiuqiang Han1, Gang
Li2
1Xi'an Jiaotong University, China
2Ordnance Engineering College, China

Tsung-Yi Chen1
1Nanhua University, Taiwan

Factors and Variables Affecting
the Adoption and Practice ofKnowledge Management: an
Exploratory Study in the Life
Insurance Companies in Taiwan
Ching-huai Peng1
1China University of Technology,
Taiwan Central University, Taiwan

Economic Design of AcceptanceControl Charts

Study on Multi-agent Based
Maintenance Decision Support
System Used for Power Plant
Equipment
Yu-jiong Gu1, Xiao-feng Dong1,
Jian-jun Wu1, Kun Yang1
1North China Electric Power
University, China

Optimal Policy for a
Manufacturing System
Subjected to Random Failure
and Calling Upon Several
Subcontractors

Fatemeh Mohammadian1, Kamran
Paynabar2
1Azad University North branch of
Tehran, Iran
2Amirkabor University of Technology,
Iran

1

p.104

On the Supervisory Control ofMarked Graphs

Sofiene Dellagi1, Nidhal Rezg2, Ali
Gharbi3
1Universitry of Metz, France
2University of Paul Verlaine, France
3ETS, Canada

Economics Analysis on
Relations of Safety Cost andInternational Trade
Competition Ability
Wei Liu1, Zhenduo Liu2
1North China Institute of Science andTechnology, Beijing Research for
Science of Science, China
2North China Institute of Science andTechnology, China

Periodic Preventive
Maintenance Policy for Finite
Horizon with an Adaptive
Failure Law

Zied Achour1, Alexandre Sava1,
Nidhal Rezg2
1LGIPM / INRIA, France
2University of Paul Verlaine, France

Yudong Ke1, Lindu Zhao1
1Southeast University, China

p.102

p.104

Jeremie Schutz1, Nidhal Rezg1, J. B.
Léger2
1University of Paul Verlaine, France
2President of PREDICT, France

A Coordination-Theory Driven
Approach for Manufacturing
Web Services Composition
Process
Meng Qian1, Zhong Liu1, Li Yao1,
Weiming Zhang1
1National University of Defense
Technology, China

p.102

Pleiotrophy Analysis of aTechnology System: An
Empirical Case of iPod

Study on Evaluation System for
Economic Effectiveness of
Safety Resources Based on Dataof Accounting
Enzhu Li1, Xueyi Zhu2
1Shandong University of Finance,
China
2China University of Mining &Technology, China

Sanna Puha1, Saku Makinen1
1Tampere University of Technology,
FinlandHybrid Management in a
Hierarchy Organization
1

p.102

p.104

Xinmin Peng1, Guoqing Yan2, Yuan
Sun3, Haibo Zhang2
1Zhejiang University, Zhejiang Wanli
Universiy, China
2Zhejiang Wanli University, China
3Zhejiang University, China

Thermal Error Analysis andError Prediction Modeling on a
Machine Tool
Rui Zhu1, Shijie Dai1, Yonglu Zhu1,
Xinye Wu1, Yinbiao Guo1
1Xiamen University, China

Tie Strengths of Interfirm
Network, Market Uncertainty,
and Innovation: A Case Study

p.105

Value Estimation for Software
Product Management
Samer Mohamed1, Ayman Wahba1
1Ain Shams University, Egypt

Abstracts

37

Session
Date
Time
Room
ChairsTechnology and Knowledge Management 1
12/9/2008
11:00 - 12:30
Venus 2
Kah Hin Chai, Young C. Park

A Small World in the Patent Citation Network
Shiu-Wan Hung1, An-Pang Wang1
1National Central University, Taiwan

The goal of this report is to characterize the small world
phenomenon in the patent citations network by analyzing the dataof TFT-LCDs patents. The empirical results suggest that the patentcitation network can indeed be characterized as “small world”.
Additionally, the patent citation network resembles the power-law
connectivity distribution and exhibits preferential connectivity
behavior. Furthermore, as a patent with high betweenness
centrality is removed from the citation network, 50.6% of thepatent knowledge communication will be limited. The result of
this analysis will provide a specific way for managers to map theirown patent networks and derive insight into the best ways tonavigate within such networks.
Technological Complexity: a Support to Management Decisionsfor Product Engineering and Manufacturing
Giovanni Tani1, Barbara Cimatti1
1University of Bologna, Italy

Complexity is a topical interdisciplinary subject debated indifferent scientific circles. Complexity is difficult to univocallydefine as it isn’t a physical quantity simple to measure but an
abstract concept for which different definitions can be given.
This paper deepens technological complexity applied toengineering and industrial manufacturing, focusing the related
aspects that can affect a product and a production system andinvestigating the different measurement approaches proposed inliterature, classifying them into five categories.
Technological complexity is significant in product engineeringdevelopment, where designers have to consider this aspect tocreate a functional and reliable product.
Technological complexity measures are important in order tosupport manufacturing enterprises management in decisions
concerning selection of new products to be manufactured andtheir production. Once a technological complexity level is definedfor each product, it is possible to develop feasibility studies inorder to check the plant capability to produce it.

Fostering Entrepreneurship through Technical Education for
Sustainable Growth of Small and Medium Enterprises in India
Rajesh Jaware1, V.P. Wani2, Mukes Kumar Pandey3
1Sinhgad Institute of Business Administration & Computer Applications, India
2National Institute of Technology, Kurukshetra, India
3Rajiv Gandhi Proudyogiki Vishwavidyalaya, India

The major challenges that have faced countries seeking totransform from centrally planned into market-based systems is theneed to develop micro, small and medium enterprises (MSMEs),
as wider process of social and economic restructuring. The
development of entrepreneurship amongst engineers will be aneffective mechanism of luminous renaissance in technology
innovations, to remove the regional imbalance and sustainablegrowth of MSMEs. An engineer, through self- employment as acareer, can bring about a technical revolution to meet thechallenges of the emerging economies with competition.
Initiatives like ED cells, STEPs, STED, to develop
entrepreneurship in the young engineers will be effective inbuilding interaction among entrepreneurs, students, academic
experts to inculcate entrepreneurial culture. This paper discusses
the strategies for developing entrepreneurial vision amongst
engineers, the necessity of the engineer as entrepreneur in thegrowth of small and medium enterprises.
Likelihood of Acquisition by Private Equity Fund in
Semiconductor Packaging Industry
Chengter Ho1, Hsi-Che Teng2
1National Kaohsiung University of Applied Sciences, Taiwan
2Taiwan IC Packaging Co., Taiwan

One of the biggest news in Taiwan semiconductor industry
between 2006 and 2007 is the proposed acquisition of Advanced
Semiconductor Engineering (ASE) by private equity fund.
Although the price-to-earnings ratio is probably the most widely
known yardstick, Businessweek used a price-to-cash flow ratio as
another valuation tool to measure the attractive under-valuatedcompanies. However, among those under-valuated companies,
ASE is the only company got the attention of private equity fund.
We propose another value model, Enterprise Value and Earnings
Before Interest, Taxes, Depreciation and Amortization, to measure
the attractiveness of those companies to the private equity fund.
This model was used on ASE case first to set the standard. The restof the companies are also examined by the same model to checkthe validity of this model.
Research on Conflicts between Task Design and Execution in
Knowledge Worker Team under Temporal Framing Effect

Empirically Detecting the Hype Cycle with the Life Cycle
Indicators: An Exploratory Analysis of Three Technologies
Heini Jarvenpaa1, Saku Makinen1
1Tampere University of Technology, Finland

Hype Cycle is a hugely popular graphic representation of the levelof maturity, adoption and business application of a technology,
originally introduced by Gartner Research’s Jackie Fenn. Despite
its popularity, the verification or relation to theoreticalframeworks is to a large extent missing in current research
literature. This paper presents some possible theoretically based
conceptualizations and definitions regarding the Hype Cycle. In
addition, a bibliometric study of the existence of the Hype Cycle interms of technology life cycle indicators, specifically in appliedresearch and application phases, was carried out.

38

Guo Fang Yuan1, Gang Zhang1
1Zhejiang University, China

Aiming at the conflicts that exist between task design andexecution, this paper introduced an important contextual factor:“temporal framing effect” to build a new type of conflict
management mechanism for knowledge worker team. A new
perspective on conflict management research is provided. By
constructing a conceptive theory model: “temporal framing
effect—conflict between task design and execution—knowledge
worker team performance”, this paper developed a new logicalthought and theoretical tool for conflict management research inorder to pursue effective management patterns in managing
conflicts between task design and execution in knowledge worker
team.

Session
Date
Time
Room
ChairsTechnology and Knowledge Management 2
12/9/2008
13:30 - 15:00
Venus 2Chengter Ho, Shieuhong Lin

The Role of Knowledge Sharing and Transactive Memory
System on Condition Based Maintenance Policy
Javid Koochaki1, Inge Bouwhuis1
1University of Groningen, Netherlands

Today, Condition Based Maintenance (CBM) has reached asophisticated level in industry and the advantages of predictive
maintenance are accepted globally. However, although lots ofeffort has been put into improving methods and techniques in
CBM, most of predictive maintenance programs fail to achieve
their predefined goals, which make them financially unjustifiable.
In this paper, we argue that organizational factors play a crucialrole in CBM implementation by their influence on knowledge
sharing processes and the organizational Transactive Memory
System (TMS). This proposition has been corroborated by meansof a case study within an industrial process plant.
KMS Adoption in Organizations
Arman Kaldi1, Abdollah Aghaie1, Farid Khoshalhan1
1K. N. Toosi University of Technology, IranIn order for an organization to fully realize its knowledge
management related objectives, it requires a knowledge
management system to support it. The organization faces various
challenges regarding this system, including whether or not toadopt it, as well as in case of the former, whether users would
accept to work with it. Therefore, adoption of knowledge
management systems occurs in both organizational level, andindividual level. The decision to adopt knowledge management
systems for the organization is influenced by many factors,
including perceived characteristics of the system, adopter
characteristics, firm characteristics, and environmental turbulence.
Users' acceptance is also influenced by a number of factors and ofcourse the level of acceptance, in turn, influences the effectivenessof the knowledge management system itself. The influential
factors concerning knowledge management systems acceptancecan be categorized as individual factors, organizational factors,
and system characteristics.
Process-Centered Knowledge Model for Continuous Process
Improvement
Kwan Hee Han1, Jun Woo Park1, Young Hyo Jo1
1Gyeongsang National University, South Korea

R&D Resource Allocation and Linkage with Business StrategiesA Technology Lifecycle Perspective
Sheng-Shyr Cheng1, Hwey-Chyi Lee1
1Chang Jung Christian University, Taiwan

This study modifies Scholefield’s (1994) dynamic R&D resource
allocation concept and discusses the relationships with businessstrategies. We substitute original measures with the degree ofbusiness leverage (DBL) and the degree of R&D leverage (DRL).
These two measures are more useful and objective than those of
Scholefield’s. In addition, DBL and DRL can combine the conceptsof product and technology lifecycle and technology adoption
firmly. Managers can use DBL and DRL to help them make
optimal R&D resource allocation and business strategy decisions.
An Integrative Framework of Knowledge Management Enabled
Supply Chain Management
R. Kant1, M.D Singh1
1Motilal Nehru National Institute of Technology, Allahabad, India

Supply chain management (SCM) is a cross-functional
phenomenon. It creates value to the customers and achieves
differential advantages for supply chain (SC) organizations. This
paper provides an insight of how knowledge management (KM)
affects SCM as well as management of an organization. KM is
encouraging individuals for capturing, organizing, and sharing
knowledge across the SC organizations. This paper proposes anintegrated framework that shows the relationship among thecritical success factors (CSFs), KM, knowledge development (KD)and SCM. It further discusses the implications of this framework.
This framework provides differential advantages for the SC and
its linkages by reducing the costs and investments, and byimproving customer services.
A New Approach to Innovation Management in SMEs
Andrew Wait1, Rainer Seidel1, Manuel Seidel1
1The University of Auckland, New ZealandThis paper presents a new approach to innovation management in
Small and Medium sized Enterprises (SME). The unique Holistic
Innovation Framework (HIF) and Value Generation Model (VGM)
support and extend the unique New Product Development (NPD)
process in SMEs. These processes were found to be primarily
dependent on the owner/manager of the SME. The approach
externalizes the tacit process of the owner/manager, so that it canbe applied by a wider management team. It diverges from existinglarge organizational NPD theory by taking a capability
perspective rather than a project process perspective. The
approach was developed using action research in a range of casestudies. The application of the approach has identified a range ofbenefits at an organizational, industry and policy level.

Since knowledge is created and utilized during the execution ofbusiness processes, knowledge itself separated from the businessprocess context does not lead to the ability to take the right action
towards target performance. Proposed in this paper is theframework of process-centered knowledge model for context-richknowledge storage and retrieval during the task execution.
Enterprise knowledge object of knowledge model is classified into
two types: process knowledge and task support knowledge. In theenterprise ontology which represents major enterprise concepts
and relationships among them, all domain concepts are related to“process” concept directly and indirectly.
To show theapplicability of the proposed framework, process-centered KMS
was developed which is classified into 3 parts: 1) Project
management sub-system based on process knowledge. 2)
Knowledge management sub-system for maintaining task support
knowledge. 3) Infrastructure sub-system which supports theabove two sub-systems.

39

Session
Date
Time
Room
ChairsTechnology and Knowledge Management 3
12/9/2008
15:30 - 17:30
Venus 2
Alan Pilkington, Barbara Cimatti

Performance Analysis for Enterprise Resource Planning Systems
Shin-Guang Chen1, Yi-Kuei Lin2
1Tungnan University, Taiwan
2National Taiwan University of Science and Technology, Taiwan

An Enterprise Resource Planning (ERP) system is a complex
network composed of various business processes. This paper
proposes methods based on stochastic-flow network model toanalysis the capacity sensitivity of persons with respect to theperformance of an ERP system. The nodes in the network denotethe persons responsible for the business tasks during the processes.
The arcs between nodes denote the process precedence
relationships in the ERP system. The performance of an ERP
system is then related to the flow of the documents through the
network. To analyze the person's impact against the system
performance, the increasing-capacity contributivity analysis andthe decreasing-capacity impairment analysis are conducted. Someinteresting findings are obtained. For example, the strategy ofincreasing capacity will not promise to contribute performance.
However, the strategy of decreasing capacity will also not always
to impair performance. Numerical examples for these analyses areillustrated in this paper.
Innovation Problems Associated with the Dynamic Growth ofChinese University Spin-outs: A Conceptual Framework
Yuan Zhou1, Charles Hampden-Turner1
1University of Cambridge, United Kingdom

This research aims to develop a capabilities-based framework, inorder to study the stage-specific innovation problems associatedwith the dynamic growth of University Spin-outs (hereafterreferred to as USO) in China. Based on existing literature and fivepilot cases, this study attempts to explore the innovation problems
in search of their entrepreneurial capabilities (e.g. alliances,
venture finance, corporate governance, etc) to acquire, mobilize
and re-configure key resources at different firm-growth stages. In
addition, this study also attempts to generalize the strategic
patterns to solve innovation problems for academic entrepreneurs.
There is limited research that investigates entrepreneurial
innovation problems associated with dynamic growth processes
and transitions in order to better explain growth facilitators andobstacles for academic entrepreneurs. Studies that recognize theheterogeneity of USOs (especially in China) in terms of resources
and capabilities that may influence growth processes also remain
sparse. Addressing this research gap will be of great interest toentrepreneurs, policy makers, and venture investors.
A Tool for Understanding and Measuring End-User e-Business
Competency
Chui Young Yoon1, Keon Myung Lee1
1Chungbuk National University, South Korea

We developed measures for an end-user e-Business competency
are developed from major components of general competency. By
performing factor analysis and reliability analysis on thedeveloped measurement items through a pilot test, we proposed a
16-item tool that can measure an end-user’s e-Businesscompetency in an e-Business environment. We confirmed thesuccessful application of the tool was confirmed by applying it tomeasuring e-Business competency of end-users in an enterprisewith an e-Business environment.
Constructing On-line Knowledge Sharing Model for R&D Staff:
an Empirical Study in Taiwan
Chung-Hsiung Fang1, Chao-Tan Ko1, Ya-Chin Kang1, Guan-Li Chen1
1National Taiwan Normal University, Taiwan

The number of enterprises implementing knowledge management(KM) has grown dramatically in recent years. However, few
companies could achieve their target and successfully implement
KM, especially in Taiwan. There are several factors that need to beconsidered while developing or implementing knowledge sharing
system. This paper is intended to specify factors which effectknowledge sharing as perceived by R&D engineers. The study
conducted a questionnaire survey along with literature review.
Confirmatory factor modeling approach was used to assess the40

fitness between the model and data. Based on the results, twoconclusions were made as follows. First, Six aspects composed
factors affecting one to share knowledge on-line, which wereorganizational culture, base construction of discussion board,
rewards, job stress, knowledge sharing design, and willingness of
sharing knowledge. Second, among the six aspects, the factor ofknowledge sharing design influenced most, and thenorganizational culture, rewards, base construction of discussion
board, job stress, and willingness of sharing knowledge orderly.
Performance Index and Productivity Analysis for National R&D
Funding in Science and Technology
So Young Sohn1, Jin Young Choi1
1Yonsei University, South Korea

Existing studies on performance analysis of R&D funding havefocused only on the object of measurement, and have notconsidered potential relations among various influential factors. In
this paper, we developed performance indices to investigate
further at individual company level. Empirical analysis was
performed using the performance survey data for the Science andTechnology Promotion Fund in Korea. The results of performance
analysis could be used to provide the individual companies withinsightful feedback information for improving their productivity.
We hope this study contribute to better management of national
R&D funding.
The Classification of Information Technology on the Perspectiveof Obtaining Competitive Advantage and Information
Technology Capability
Yiming Xiang1, Yonggang Shu1
1Zhejiang Gongshang University, China

It is not all the IT that can bring the competitive advantage for theenterprises; also it is not all the IT which produces significant
influence to the competition that will certainly be able to bring thecompetitive advantage for the enterprises. To the former, thispaper classifies the IT apply on enterprises value chain on theperspective of obtaining competitive advantages, namely, support
type ,tool type, function type, flow type and inter-enterprises type,also differentiates their possible influence to competition. To thelatter, this paper induces two key policies for enterprises obtaining
competitive advantages by applying IT: improving the level ofalignment of IT strategy and business strategy, training andapplying IT capability.
The Determinants of the Growth of Absorptive Capacity Basedon an Open Innovation Perspective: A Case Study
Jin Chen1, Wangfang Li2, Wim Vanhaverbeke3, Zijun Jiang1
1Zhejiang University, China
2Hasselt University, Eindhoven University of Technology, Belgium
3Hasselt University, Belgium

Open innovation provides a framework how firms can benefit
from external sources of knowledge. Absorptive capacity explains
how firms can create and capture value from in-sourcing external
knowledge. Therefore, absorptive capacity and open innovation
should be linked to each other. In this study, we provide
theoretical model and evidence from a case study how innovating
firms in rapidly developing economies have to develop absorptive
capacity through a combination of exploitation of the existingknowledge base, R&D investments, learning initiatives, and aopen innovation network. This model, gives a better
understanding how absorptive capacity is developed.
Innovative Strategies for Intelligent Robot Industry in Korea
So Young Sohn1, Man Jae Kim1
1Yonsei University, South Korea

In the 21st century, the robot is rapidly emerging in the generalpublic. In particular, the intelligent robot will play important rolesin the future by strengthening the global competitiveness. In thispaper, strategies to improve the utilization of the intelligent robot
were investigated using a Structural Equation Model (SEM). The
relation among various factors that have a potential influence on
robot utilization is explored. According to the results of our study,
the current government policies are not effective on revitalizationof the robot industry, mainly due to excessive policies
implemented simultaneously by the Korean government.
However, a Robot Utilization Expectation Index of 75.86 indicatesthat many people expect a robot as useful in their daily life. These
results are expected to contribute to stimulating the robot industry
in Korea.

Session
Date
Time
Room
ChairsOperations Research 1
12/9/2008
11:00 - 12:30
Jupiter 1
Yuri Popkov, Alireza Haji

Mathematical Programming Approach for Routing Home Care
NursesBouazza Elbenani1, Jacques A. Ferland2, Viviane Gascon3
1Université Mohammed V-Agdal, Morocco
2Université de Montréal, Canada
3Université du Québec à Trois-Rivières, Canada

Nowadays more patients need to receive medical treatments at
home. Sequencing home care nurses visits shows similarities withthe multiple vehicle routing problem with time windows(MVRPTW). Additional constraints make this problem much more
complex. These refer to medical requirements and to theimportance of continuity of care. In this paper, we present amathematical model describing the problem of determining routes
for home care nurses which takes into account constraints from
the MVRPTW along with medical and continuity of careconstraints. We also provide some numerical results.
A DSS for Stochastic Multistage Portfolio Optimization in the
Mexican Market
Maria A. Osorio1, Erika Jimenez1, Abraham Sanchez1
1Universidad Autonoma de Puebla, Mexico

We present the main elements for a decision support system for
portfolio management in the Mexican market, including thefinancial investments consideration for a database, the uncertainty
representation in scenario trees and the requirements for a
portfolio optimization model. We used a stochastic programming
approach to formulate the multistage optimization model,
modified with new constraints and solved it with a Simulated
Annealing procedure. The scenario tree was generated by asimulation and clustering process. The solution of multiple
mean/variance problems is used to build efficient frontiers. Some
examples are presented to show the performance of the proposed
procedure.
An Improved Numerical Method for Solving a Class ofContinuous-time Linear Programming Problems
Ching-Feng Wen1, Chien-Shih Huang2
1Kaohsiung Medical University, Taiwan
2National Kaohsiung University of Applied Sciences, Taiwan

In this paper we consider a class of infinite-dimensional linear
programming
problems,
calledcontinuous-timelinearprogramming problems (CLP). In our previous paper [16], we
presented a discrete approximation method for solving (CLP) andestablished the estimation for error bounds of searched numericalsolutions. However, the computation times involved can be verylarge as a result of solving a very large finite-dimensional linear
program. We will focus on a special class of (CLP) and provide
improved methods to overcome the computational bottleneck.

Fuzzy Multilevel Multiobjective Programming Problems with
Fuzzy Domination Structures
Hitoshi Yano1
1Nagoya City University, Japan

In this paper, we focus on fuzzy multilevel multiobjective
programming problems with fuzzy domination structures wheremultiple decision makers in a hierarchical organization have themembership functions for their own objective functions and thecorresponding fuzzy domination structures. After introducing
decision powers and the solution concept based on the α-level sets
for the fuzzy convex cones which reflect fuzzy domination
structures in membership space, we propose an interactive fuzzy
decision making method to obtain the satisfactory solution whichreflects not only the hierarchical relationships between multiple
decision makers but also their own preferences for theirmembership functions. An interactive process is demonstrated bymeans of an illustrative numerical example.
Analyzing Total Knee Arthroplasty Using Surgical Volume ofDifferent Hospital Levels
Yu-Tien Cheng1, Ching-Hsue Cheng1, Jr-Shian Chen2
1National Yunlin University of Science and Technology, Taiwan
2Hungkuang University, Taiwan

The purpose of this research is to discover valuable medical facts
by mining TKA (total knee arthroplasty) surgical volume of threedifferent hospital levels from Taiwan NHI (National Health
Insurance) database. In this paper, there are three main objectives
provided: (1) to build up the learning curves using the patients’outcomes of three different hospital levels; (2) to characterize
whether TKA surgical volume correlates with infection rate andmortality rate; and (3) to examine whether there are differences in
the infection rate and mortality rate pair-wise comparisons among
medical center, district hospital, and local hospital.
After building up the learning curves, the results of Z-test confirm
the differences between these three observed levels. For
verification, we’ve interviewed five specialist surgeons with asemi-structure questionnaire containing some close questions andsome open-end, and the investigative results are consistent withthe results from data analysis.
A Simple and Effective heuristic for Periodic Vehicle Routing
Problem
Ahmad Reza Pourghaderi1, Reza Tavakkoli-Moghaddam1, Mehdi
Alinaghian1, Behnam Beheshti-pour1
1University of Tehran, Iran

The periodic vehicle routing problem (PVRP) consists inestablishing a planning of visits to clients over a given time
horizon so as to satisfy some service level while optimizing theroutes used in each time period. A new, simple and effective
heuristic algorithm has been developed for the PVRP that is a tour
construction type procedure with an embedded improvement
procedure. Computational results obtained from the test problems
taken from the literature indicate that the algorithm compares wellin terms of accuracy and execution time with other existingalgorithms, finding a larger number of best solutions.

41Session
Date
Time
Room
ChairsOperations Research 2
12/9/2008
13:30 - 15:00
Jupiter 1
Jacques A. Ferland, Tiefeng Zhang

Data and GP Modeling Framework for Manpower Planning:
The Case of Fixed-length Duties
Sydney Chu1, Minyue Zhu1
1University of Hong Kong, Hong Kong

In the context of manpower planning in general, and with respect
to fixed-length shift-duties in particular, Goal Programming (GP)is often useful as an optimization modeling technique forgenerating shift-duties of worker schedules. A (regular-time)
fixed-length duty consists of a fixed number of contiguous hours
of work in a day, with a meal/rest break somewhere preferablyaround the middle of these working hours. It is such properties
that enable the straightforward, yet flexible modeling andcomputation. Such an optimization modeling is built upon theessential foundation of a detailed data modeling and its analysis
for all the driving parameters and demand/supply input necessary
for numerical computations. Hence data model and GP model
form two integral components of this project. Results reported
here illustrate the case of baggage service agents planning at theHong Kong International Airport. Finally, implementation as DSS
is briefly described.
Bottleneck Adjacent Matching 3 (BAM3) Heuristic For
Re-Entrant Flow Shop With Dominant Machine
Salleh Ahmad Bareduan1, Sulaiman Hasan1
1Universiti Tun Hussein Onn Malaysia, Malaysia

This paper presents a scheduling heuristic to minimize themakespan of a re-entrant flow shop using bottleneck analysis. The
heuristic is specifically intended for the cyber manufacturing
centre (CMC) which is an Internet-based collaborative design andmanufacturing between the Universiti Tun Hussein Onn Malaysia
and the small and medium enterprises. The CMC processes
scheduling resembles a four machine permutation re-entrant flow
shop with the process routing of M1,M2,M3,M4,M3,M4 in which
the first process at M1 has high tendency of exhibiting dominantcharacteristic. It was shown that using bottleneck-based analysis,an effective constructive heuristic can be developed to solve fornear-optimal scheduling sequence. At strong machine dominancelevel and medium to high job numbers, this heuristic showsslightly better makespan performance compared to the NEH.
However, for smaller job numbers, NEH is superior.
Bottleneck Adjacent Matching 4 (BAM4) Heuristic For
Re-Entrant Flow Shop With Dominant Machine
Salleh Ahmad Bareduan1, Sulaiman Hasan1
1Universiti Tun Hussein Onn Malaysia, Malaysia

This paper presents the second version of scheduling heuristic tominimize the makespan of a re-entrant flow shop with dominantcharacteristic at first process. The processes scheduling resemblesa four machine permutation re-entrant flow shop with the processrouting of M1,M2,M3,M4,M3,M4 in which the first process at M1
has high tendency of exhibiting dominant characteristic. The
BAM4 is developed based on the bottleneck correction factor
algorithm introduced to the makespan computation using
bottleneck approach. It was shown that using bottleneck-based
analysis, an effective constructive heuristic can be developed tosolve for near-optimal scheduling sequence. At strong machine
dominance level and medium to high job numbers, this heuristic
shows slightly better makespan performance compared to theNEH. However, for smaller job numbers, NEH is superior.

42

An Algorithm for Optimal Cyclic Scheduling in a Robotic Cellwith Flexible Processing Times
Pengyu Yan1, Chengbin Chu2, Ada Che3, Naiding Yang3
1Northwestern Polytechnical University, Universiteé de Technologie de Troyes,
France2Universiteé de Technologie de Troyes, France
3Northwestern Polytechnical University, China

This paper describes an exact algorithm for the optimal cyclic
scheduling in a robotic cell with flexible processing times and amaterial handling robot. The problem is formulated with theprohibited intervals of the cycle time based on the capacity
constraints of the machines and the robot. After the analysis of thedeveloped mathematic model, the problem is transformed toenumerate the non-prohibited intervals for the cycle time. An
efficient branch and bound algorithm is proposed to complete thisenumeration procedure. Computational results on randomly
generated test instances indicate that the algorithm is effective.
A Heuristic Procedure Based on Column Generation to Solve a
Cutting Stock Problem
Ya Liu1, Chengbin Chu2, Kanliang Wang3
1Université de technologie de Troyes, France
2Université de technologie de Troyes, Xi'an Jiaotong University, France
3Xi'an Jiaotong University, China

This paper focuses on a real life cutting stock problem firstinvestigated by Chu and Antonio (1999). In this model, theconstraints as well as the objective function are more complex
compared with the traditional cutting stock models where sometechnical parameters are not considered. In this paper, we first
apply column generation to this complex cutting stock model.
Because of the concavity of the cutting cost with the packet size,
the lower bound obtained by column generation is far from reality.
This is a new discovery compared with the traditional view: thelower bound obtained by the column generation is tight. To solve
the problem, a heuristic procedure is proposed based on this loose
lower bound. It is fast and yields the near-optimal solutions. The
computational results show that this heuristic procedure based oncolumn generation improves by 10% the performance of thepartner company.
Scatter Search for Multi-mode Resource-constrained Project
Scheduling Problems
Ahmad Reza Pourghaderi1, Seyed Ali Torabi1, Jafar Talebi1
1University of Tehran, IranIn this paper the multi-mode resource-constrained projectscheduling problem is considered. Activities are non-preemptable,
resources are renewable, and the objective is to minimize theproject
duration(or
makespan).
A
local
searchmetaheuristic-scatter search is proposed to solve this strongly
NP-hard problem. A comprehensive computational experiment is
described, performed on a set of instances based on standard test
problems constructed by the proGen project generator. The
performance of this scatter search algorithm is compared with theperformance of other published algorithms for multi-mode
resource-constrained project scheduling problem, the results areanalyzed and discussed and some conclusions are given.

Optimal Control with DAE Constraints
Session
Date
Time
Room
ChairsOperations Research 3
12/9/2008
15:30 - 17:30
Jupiter 1
Sydney Chu, Pengyu Yan

Analysis of the Positive Dynamic Systems with Entropy
Operator: Application to Image Restoration from Projections
Yuri Popkov1
1Institute for Systems Analysis, Russian Federation

The PDSEO-concept consists of three parts: the general process inthe system is a combination of the slow and fast processes, theslow process is deterministic one and the fast is stochastic one, thefast process is a sequence of the local-stationary states, each ofwhich is described by the entropy operator. The general
single-valued entropy operator is considered. For such type of theentropy operator the condi-tions of continuity, smoothness and theestimation of the Lipschitz constant are obtained. The conditionsof boundedness of the PDSEO’s-trajectories is formulated. These
results is used for forming of the dynamic procedure of theentropy image restoration from projections.
Markov Chain with Fuzzy States: Application to Queuing
Decision Models
David de la Fuente1, Maria Jose Pardo2
1University of Oviedo, Spain
2Basque Country University, Spain

In this paper, we design a queuing system by calculating the bestpolicy to be implemented regarding publicity decisions by using
Markov chains with fuzzy states. To this end, first we calculate thesteady-state probabilities when the states of the Markov Chain
become fuzzy, and next we illustrate by an example the theoreticalresults previously obtained. In the example, we apply the linear
programming solution to the Markovian decision process.
Solving Two Dimensional Layout Optimization Problems with
Irregular Shapes by Using Meta-heuristic
Kumaran Ramakrishnan1, Julia Bennell1, Mohamed K. Omar2
1University of Southampton, United Kingdom
2Multimedia University, Malaysia

There are two main approaches popular with researchers to solve
two dimensional layout optimization problems that involve
irregular shapes, where the objective is to find an arrangement of
the irregular pieces in order to minimize waste material. In thispaper we have grouped them into iterative constructive heuristics(ICH) and those heuristic which search over the physical layout(SOL). Both approaches are competitive and each new publication
brings better results with respect to the benchmark data sets.
Although this can be credited to better algorithm design, it could
also be argued that researchers are getting better at customizing
their algorithms to suit the available benchmark data sets. We
intend to investigate these two approaches and establish someprinciples of the strengths and weaknesses of each approach withrespect to data type. The experimental results provide an insight
into the desirable solution approach given the variability in input
data

Zhihui Yang1, Wenjuan Cui1, Yun Tang2
1North China University of Technology, China
2Tsinghua University, China

In this paper we discuss a kind of optimal control problems withrestricted control variables, and the state equations of which are
depicted by differential-algebraic equations(DAEs). Throughanalyzing characters of the optimal control model with DAE
constraints, the model can be transformed into a functional
extreme value problem. Then by means of the variational principle,
we present necessary conditions of optimality for the functional
extreme value problems. In addition, a minimum condition of
optimality is given based on the necessary conditions. Thosetheoretical results also provide an analytical way for solving
optimal control problems(OCPs). Finally, a well-known chemicalengineering model is shown to explain our results.
Assessing the Performance of Distribution Lines Based on Data
Envelopment Analysis
Tiefeng Zhang1, Jinsha Yuan1, Xiaozhi Li1
1North China Electric Power University, China

This paper proposes a quantificational assessment method to
explore the performance of distribution lines based on dataenvelopment analysis (DEA). In this method the input and output
factors are set from the viewpoint of input-output and theutilization efficiency of these distribution lines is calculated andevaluated by DEA, and empirical results are: the utilization
efficiency of these distribution lines, the gaps between realism andoptimal conditions of inefficient lines, the population distributionof technical efficiency and redundant statistics of input factors.
Based on these results, the decision-makers can adopt pertinent
measures to improve distribution line situation, meanwhile theseresults can be used for reference of policy-making in distribution
investments and tariff structure.
Developing a Partial Backlogging Deteriorating Inventory
Model with Selling Price Dependant Demand Rate and Cycle
Length Dependant Selling Price
Alireza Haji1, Hamed Sabahno1, Rasoul Haji1
1Sharif University of Technology, IranIn this paper, we develop an inventory model with pricedependant demand rate, under time value of money and inflation,
finite time horizon, exponential backlogging rate and exponential
deterioration rate with the objective of maximizing the present
worth of the total system profit. Using a dynamic programming
based solution algorithm, we are able to find the optimal sequenceof the cycles and also to obtain different optimal selling prices andoptimal order quantities for the cycles with unequal lengths,
which have never been done before for our model. We also use aproper numerical example to show accuracy of the solution
procedure.

Project Scheduling for Maximum NPV with Variable Activity
Durations and Uncertain Activity Outcomes
Stefan Creemers1, Roel Leus1, Bert De Reyck2, Marc Lambrecht1
1Katholieke Universiteit Leuven, Belgium
2University College London, United Kingdom

The literature on project scheduling with uncertain activity
durations is still in its burn-in phase. We examine projectscheduling with net-present-value objective and exponential
activity durations by means of a backward stochastic dynamic
programming recursion. We examine the particular setting inwhich the individual activities carry a risk of failure, and where an
activity's failure results in the project's overall failure. In the
project planning and scheduling literature, this technologicaluncertainty has typically been ignored and project plans aredeveloped only for scenarios in which the project succeeds.

43Session
Date
Time
Room
Chairs

Quality Control and Management 1
12/9/2008
11:00 - 12:30
Jupiter 2
Zhang Wu, Rassoul Noorossana

Economic Influences on Customer Satisfaction: Variation by
Product Function
Bjoern Frank1, Takao Enkawa1
1Tokyo Institute of Technology, Japan

Based on longitudinal customer satisfaction data from threedurable goods industries in Japan, this study analyzes how
economic processes influence customer satisfaction and how theseeffects vary by product function. Our research hypotheses are
based on a conceptual extension of the disconfirmation of
expectations theory of customer satisfaction formation. Using
principal component and regression analyses, we show that
customer satisfaction is positively influenced by economic growthand negatively by economic expectations. These effects, especiallythe influence of economic expectations, are much stronger forcustomer satisfaction with peripheral product functions than withcore product functions. Quality managers should be aware of
misinterpretations when measuring customer satisfaction toevaluate business performance. Variations in customer satisfaction
are not only caused by variations in corporate performance but
also by external economic influences.
Quality Control of Fan Beam Scanning Data Processing with inVitro Material
Jan Pieter Clarys1, Steven Provyn1, Joanne Wallace2, Aldo Scafoglieri1,
Thomas Reilly3
1Vrije Universiteit Brussel, Belgium
2Vrije Universiteit Brussel, Liverpool John Moores University, United Kingdom
3Liverpool John Moores University, United Kingdom

In vivo assessment of human body composition quantities fromimaging/scanning systems in clinical research and public healthhas led to proliferation of indirect methods and techniques thatdeliver approximating values.
The systems are based onmorphological or biochemical models and assumptions. Since
the development of Dual-Energy X-Ray Absorptiometry (DXA) forthe bone density, mineral content and the detection of
osteoporosis, it assesses lean tissue and fat also. This study
conducts a quality control of DXA variables using direct dissectionof 14 porcine hind legs as the criterion method. Results show good
to excellent correlations between DXA and dissection data (r2=0.75 to 0.99), but absolute indirect DXA and direct dissection
values were significantly different (P<0.05). In addition DXA
provides erroneous values for bone density and the data
dimensions are morphological, not chemical values as claimed by
the manufacturer. Validation and accuracy studies with intact
whole bodies are advised.

Analysis of Consumers' Requirements for Data/Information
Quality by Using HOQ
Keqin Wang1, Shurong Tong1, Lionel Roucoules2, Benoit Eynard3
1Northwestern Polytechnical University, China
2University of Technology of Troyes, France
3University of Technology of Compiegne, France

Data/information quality (DQ/IQ ) has great impact on data
consumers’ decisions. In order to provide high quality
data/information, data consumers’ requirements for DQ/IQ haveto be analyzed and identified. Right requirement identification isfundamental to data quality control activities including DQ/IQ
measurement, evaluation, improvement, etc. Quality function
deployment (QFD) and the house of quality (HOQ) are effective
tools to translate consumers’ requirements into specific DQ
dimensions for DQ improvement. This work briefly introduces
QFD, HOQ and their constitutive elements. Data consumers arealso examined. A methodology of applying HOQ in DQ/IQ, which
includes five major steps, is described in details. Then an example
of product design information quality is presented. By using themethodology, the weak points of DQ in industrial firms can be
identified in the form of DQ dimensions in order to take actions toimprove data/information quality.

44

An EWMA Control Chart for Monitoring the Mean of Skewed
Populations Using Weighted Variance
Michael Boon Chong Khoo1, Abdu Mohammed Ali Atta1
1Universiti Sains Malaysia, Malaysia

This paper discusses the use of weighted variance (WV) in setting
up the limits of the exponentially weighted moving average(EWMA) chart for the monitoring of the mean of a process from askewed population. This chart, called the WVEWMA charthereafter, reduces to the standard EWMA chart when theunderlying distribution is symmetric. The Type-I and Type-II
errors of the WVEWMA chart are compared with that of theexisting charts for skewed populations. Simulation results showthat the new method gives a considerable improvement over the
existing methods when the underlying distribution is skewed.
Dynamic Benchmarking Methodology for Quality Function
Deployment
Hendry Raharjo1, Aarnout Brombacher2, Kah-Hin Chai3, Bo Bergman1
1Chalmers University of Technology, Sweden
2Eindhoven University of Technology, Netherlands
3National University of Singapore, Singapore

A competitive advantage, generally, can be gained if a firm
produces a product that not only addresses what the customer
values most, but also performs better than its competitors in termsof quality, cost, and timeliness. However, these two factors, namely,
the customer needs and competitors' performance, change overtime, and yet most product design processes seem to haveoversimplified this fact. This paper aims to address this issue, thatis, how the dynamics of these two factors along with theirinteraction can be integrated into a QFD analysis. This proposed
methodology essentially comprises of two novel technicalapproaches. First, it is the use of an exponential smoothing based
forecasting technique to model the trend of the importance rating
values and the competitive benchmarking information. Second, it
is a strength-weakness-opportunity-threat (SWOT) based
competitive weighting scheme, which at the same time serves as amore systematic way to substitute the traditional QFD customer
competitive target setting and sales point value determination.
Markov Chain Approximation to the Performance of Adaptive
CUSUM Procedures
Lianjie Shu1, Wei Jiang2, Zhang Wu3
1University of Macau, Macau
2Stevens Institute of Technology, United States
3Nanyang Technological University, Singapore

This paper proposes using a Markovian-type mean estimatingprocedure in the conventional cumulative sum (CUSUM) control
scheme to update its reference value in an adaptive way. This
generalizes a class of Markovian adaptive CUSUM (ACUSUM)
schemes to achieve the aim of providing an overall good
performance over a range of future expected but unknown mean
shifts. A comparison of run length performance of the proposed
ACUSUM scheme and other control charts is shown favorable tothe former.

Session
Date
Time
Room
Chairs

Quality Control and Management 2
12/9/2008
13:30 - 15:00
Jupiter 2
Michael Boon Chong Khoo, Huiming Zhu

Identifying the Time of a Step-change with MEWMA Control
Charts by Artificial Neural Network
Farzane Ahmadzade1, Rassoul Noorossana2
1Islamic Azad University of Karaj Branch Graduate School, Iran
2Iran University of Science and Technology, Iran

Quality control charts have proven to be very effective in detectingout of control signals. It is very important to practitioners todetermine at what point in the past the signal was initiated. If acontrol chart signals a change in the process parameter,
identifying the time of the change will substantially help thesignal diagnostics procedure since it simplifies the search for
special causes. In this paper the researchers propose theobservations following a multivariate normal distribution. They
have used Multivariate Exponentially Weighted Moving Average(MEWMA) control chart to detect signals. This research provides
two ways to detect the change point, first MLE, and then neuralnetwork is used to identify the time of the change in theparameters (mean) in the past. The researchers intended to assess
the performance of two approaches and compare them throughcomputer simulation experiments. The results show that neuralnetwork performs effectively and equally well for the wholeprocess dimensions while shift magnitudes are considered. Thus,
the neural network provides process engineers with an accurate
and useful estimate of the actual time of the change in the process
mean.
Optimization of Injection Molding Process for Automobile
Headlamp Brackets
Li-Chang Chao1
1Diwan University, National Chiao Tung University, Taiwan

This study discusses the variant of weight in injection molding of
automobile headlamp brackets. The purpose of this study expects
to use the minimum number of experiment to get the optimum
combinations of factor-level for injection molding process. This
study utilizes the parameter design of quality engineering to carryon the experiment and data analysis. The effect maps of factors are
utilized to choice the optimum combination of factor-level. The
analysis of variance and confirm experiment are utilized to verify
the correction of experiment results. The factors and levels of thisstudy are appropriate if the confidence intervals of quality
characteristics that are applied to confirming experiment fall in
95%.
A Theory of Thermal Growth Control Techniques for High
Speed Spindles
Ching-Feng Chang1, Ching-Yi Chao1, Chao-Shi Ling2, Jin-Jia Chen1,
Tsair-Rong Chen1
1National Changhua University of Education, Taiwan
2Da Yeh University, Taiwan

An X-Bar Control Chart Economic Design Sampling Strategy for
Non-normally Distributed Data under Gamma (λ, 2) Failure
ModelsFeng-Chia Li1, Cho Hua Yeh2, Peng-Kai Wang3
1National Tsinghua University, Taiwan
2Jen Teh Junior College of Management, Taiwan
3Hwa Hsia Institute of Technology, Taiwan

This study compares an x-bar control chart economic design witha variable sampling interval (VSI) and a fixed-length sampling(FSI) for non-normal data under Gamma (λ, 2) shock models. In
earlier investigations, constant sampling intervals were widely
employed by the control chart’s designers and users because of
their administrative simplicity. Most control chart economic
designs assumed the failure mechanism, which belongs to the
Poisson distribution. However, this is not usually pragmatic.
Banerjee and Rahim (1993) presented a cost model using VSI
under a process-failure mechanism that followed a Gamma (λ, 2)model with an increased hazard rate. These subgroupmeasurements were assumed to be normally distributed when
designing control charts. However, that assumption may not betenable in this research. Hence, this study employs a numericalexample to indicate the solution procedure and to implement thesensitivity analysis while comparing the results of using various
sampling interval approaches in non-normally distributed data.
An Adaptive CUSUM Chart with Exponential of Mean Shift
Zhang Wu1, Mei Yang1
1Nanyang Technological University, Singapore

This article studies a new feature of the ACUSUM chart related tothe exponential w of the sample mean shift in (xt – μ0)w. The
testing cases reveal that the chart outperforms the earlier
ACUSUM chart, works as well as the combined schemes
consisting CUSUM and/or
charts, but is easier to design andimplement. In addition, a general-purpose optimization algorithm
is proposed. It can significantly improve the performance of many
CUSUM charts over the entire process shift range.
The Effect of Non-normality on the Performance of Linear
Profile Monitoring
Rassoul Noorossana1, Abolfazl Vaghefi2, Mehdi Dorri1
1Islamic Azad University South Tehran Branch, Iran
2Iran University of Science and Technology, IranInterpretation of quality control charts is usually based on theassumption that successive observations are independent andidentically distributed over time. In most statistical process control(SPC) applications, it is assumed that the quality characteristic or
vector of quality characteristics of interest follows a univariate or amultivariate normal distribution, respectively. However, in certain
cases this assumption may not be realistic. In this paper, we study
the effect of non-normality when the quality of a process or
product is characterized by a linear profile. Skewed andheavy-tailed symmetric non-normal distributions are used toevaluate the results numerically. The results reveal that
non-normality has a significant effect on monitoring linear profile
when the process is statistically in-control.

A motorized high speed spindle has very complicated dynamics
consisting of non-stationary and speed-related thermal
characteristics. Many studies have been reported with different
designs to control or monitor spindle’s thermal growth withlimited results, whereas the application of High Speed Machining(HSM) demands “zero tolerance” no matter the range of speed ormaterial to be machined. This paper proposes a direct
displacement measuring system, which is a considerable
improvement as compared with many taking inaccurate readings
through a traditional thermo coupler, to accurately monitor andcompensate the thermal growth associated with motorized highspeed spindles. This direct displacement measuring system
optimizing a high speed synchronous feedback system will meet
the tolerance and performance expected in HSM applications.
Based on the introduction of Foucault current, a design for an
accurate thermal growth is outlined.

45

Session
Date
Time
Room
ChairsEngineering Economy and Cost Analysis
12/9/2008
15:30 - 17:30
Jupiter 2
David de la Fuente, Gyutai Kim

On the Applicability of the Kelly Criterion to Engiineering
Economics
Gyutai Kim1
1Chosun University, South Korea

This paper is concerned with studying the potential application of
the Kelly criterion to the Engineering Economics world. It is about
calculating how much to bet or invest for maximizing thelong-term growth rate of the reaped plays of a given game. This
criterion has been extensively tested and exploited in thegambling world and used to allocate an optimal amount of thetotal investment fund to each security to achieve the objective in afinancial market. However, based on my extensive survey research,
I realized that there was no research done about applying the
Kelly criterion in the Engineering Economics world. Therefore, wewill show the applicability of the Kelly criterion to the shorthypothetical problems of Engineering Economics and briefly to
discuss the difficulty in employing it in the Engineering
Economics world.
The Influence of Structural Complexity on Product Costs
Stefanie Braun1, Udo Lindemann1
1Technische Universitaet Muenchen, Germany

A linkage between a product's structural complexity and its costs
cannot be denied - even if it is not measurable. This contribution
presents an approach developed to analyze the correlation
between the structural assembly of mechatronic products and thecomposition of their development and production costs.
Basic cost-drivers of multidisciplinary products are identified in afield study. On that basis, guidelines for cost-efficient design - asthey are well-known for mechanical design - should be deduced
for mechatronic product design.
The approach does not focus on specific component features buton the product’s overall structural assembly. By the means of DSM
analyses these structures are searched for characteristic criteria
expected to correlate with characteristics of the cost structure.
The procedure of the analysis and first findings about thecorrelation of structural criteria in the product and cost structure
are presented. On this basis statements for cost-efficient design ofmechatronic products can be developed.
Applying Performance Management on Semiconductor Design
Processes
Neele Hinrichs1, Erich Barke1
1Leibniz Universität Hannover, Germany

Measuring performance of business processes is emerging as asignificant utility in order to maintain and improve competitive
advantages. In this paper the first steps to build up performancemeasures for semiconductor design processes are presented. An
existing framework of a Performance Management System is
adapted to the demands of chip design. Furthermore,company-specific and general factors, which have to beconsidered, are described to define Key Performance Indicators. In
times of technological changes and product variety increase it is ofparticular importance for every semiconductor company to keep
up with the shrinking time-to-market windows. Managers have to
make the right decisions concerning the workload-manpower mix.

46

Using Historical Data for Forecasting S-curves at Construction
Industry
Mohhammad Taghi Banki1, Behzad Esmaeeli1
1Amirkabir University, IranCash flow forecasting and control are essential to the survival of
any contractor. Therefore, contractors require simpler and quicker
techniques which would enable them to forecast cash flow withreasonable accuracy. The paper is based on classifying projects
into groups and producing a standard curve for each groupsimply by fitting one curve into the historical data A sample ofdata from 7 projects was collected which all of them were harbor
construction project in Iran. S-curves were fitted into each using
the logit transformation technique. Errors incurred when fittingthese curves were measured and compared with those associates
in fitting individual projects. Results showed that the difference
between these errors was not significant. The results of the model
developed in this paper were compared with previous models andevaluated. It is concluded that the model produced more accurate
results than existing value and cost models.
Analysis of Software Quality Cost Modeling’s Industrial
Applicability with Focus on Defect Estimation
Lars Karg1, Arne Beckhaus1
1SAP Research, Germany

The majority of software quality cost models is by design capableof describing costs retrospectively but relies on defect estimationin order to provide a cost forecast. We identify two major
approaches to defect estimation and evaluate them in a large scaleindustrial software development project with special focus on
applicability in quality cost models. Our studies show that neither
static models based on code metrics nor dynamic software
reliability growth models are suitable for an industrial application.
A Production Economics Model for Predictive Cost Assessmentin Manufacturing
Q.Z. Yang1, R.S. Ng1, B. Song1
1Singapore Institute of Manufacturing Technology, Singapore

Economic assessment of manufacturing processes evaluates theeffects of engineering-economics factors on the current andexpected future cost performances in manufacturing. The
relationships between those factors are usually specified in
production economics models. In this study, a production
economics model has been developed to predictively assess thecost effectiveness of liquid forging process. The model consists ofthe economic relations and influences of engineering parameters,
production
properties,
andeconomic
conditionson
manufacturing cost of liquid forged parts. Five critical cost drivers
are identified from the liquid forging economics model. The
effects of these cost drivers are analyzed through case studies. The
proposed model provides a new way to gain insights into the costbehaviors for identifying cost reduction potentials of
manufacturing processes.
Digital Technical Documentation Development: Migration ofPaper based Support Systems within Submarine PeriscopeEngineering
Robbie Thomson1, John Lynn2
1Thales Optronics, United Kingdom
2Glasgow Caledonian University, United Kingdom

This paper presents the issues and benefits experienced in the
migration from a paper based Technical Publications process to a
Multimedia interactive DVD based format. The paper aims topresent the benefits of using such a format as a future strategy toreplace the paper system. It also attempts to address the financial
and time gains should such a format be adopted.

Session
Date
Time
Room
Chairs

Production Planning and Control 1
12/9/2008
11:00 - 12:30
Jupiter 3
Hans Otto Guenther, Duy Long Ha

Identification of Implicit Strategies In Production Control
Gunther Reinhart1, Tobias Gyger1
1Technische Universität München, Germany

In an increasingly turbulent environment, convincing methods ofproduction planning and control are required. Discrete event
simulation has proven to be a suitable tool to fulfill this demand.
However, as flows of materials are often influenced by ad-hoc
decisions of workers, the quality of simulation models depends onthe conformance of real-word decision strategies to the ones
simulated. This article proposes a method for identifying dynamic
workflows caused by decisions of human workers using methodsof pattern recognition. For this purpose, underlying data fromproduction data acquisition (PDA) shall be analyzed to identify
patterns and to recognize human strategies and provide them foran automated generation of simulation models.
Optimal Balancing of Multi-Objective U-Shaped AssemblyLines using the TSGA Method
Supaporn Suwannarongsri1, Deacha Puangdownreong1
1South-East Asia University, Thailand

This paper proposes a hybrid intelligent approach to solve suchthe U-shaped assembly line balancing (UALB) problems. The
TSGA method consisting of the tabu search (TS) and the genetic
algorithm (GA) is used to identify solutions for the UALB
problems. The multiple objectives including the workload
variance, the idle time, and the line efficiency, are proposed andset as the objective function of search process. With the proposed
approach, the TS can well address the number of tasks assigned
for each workstation of the U-shaped line, while the GA can also
assign the sequence of tasks for each workstation according toprecedence constraints. The proposed approach is tested against
three UALB problems from a survey of literature. Obtained results
are compared with results obtained from the single-objective
approach. As results, the proposed multiple-objective approachbased on the TSGA method gives better solutions for all UALB
problems.
Multi-Objective Assembly Line Balancing via Adaptive Tabu
Search Method with Partial Random Permutation Technique
Supaporn Suwannarongsri1, Deacha Puangdownreong1
1South-East Asia University, Thailand

This paper proposes a novel intelligent approach for solving theassembly line balancing (ALB) problems. The adaptive tabu search(ATS) method and the partial random permutation (PRP)
technique are combined to provide optimal solutions for the ALB
problems. In this work, the ATS is used to address the number oftasks assigned for each workstation, while the PRP is conducted toassign the sequence of tasks for each workstation according toprecedence constraints. The multiple objectives including theworkload variance, the idle time, and the line efficiency, areproposed and set as the objective function. The proposed
approach is tested against three benchmark ALB problems andone real-world ALB problem. Obtained results are compared withresults obtained from the single-objective approach. As results, theproposed multiple-objective approach based on the ATS and the
PRP is capable of producing solutions superior to thesingle-objective.

Scheduling Incompatible Job Families on A Single Machine: A
Two-Level Heuristic Approach
Mohamed K. Omar1, Yasothei Suppiah1, Siew Chein Teo1, Julia Bennell2
1Multimedia University, Malaysia
2University of Southampton, United Kingdom

We introduce a two-level heuristic approach for solving jobs
originated from incompatible job families that aims to minimize
the total weighted tardiness. At the first level, an apparent
tardiness cost with setups (ATCS) for a single machine isdeveloped. The second level, a Tabu Search (TS) heuristic is
developed that uses the initial solution obtained by the ATCS andprovides a better solution if it exist. Real industrial data is used totest and validate the proposed methodology. The results indicatethat the suggested approach can provide solution in a reasonable
good time that can be of use for the decision maker.
Effects of Organizational Innovations on Firm's Production
Performance
Gunduz Ulusoy1, Gurhan Gunday1, Lutfihak Alpkan2, Kemal Kilic1
1Sabanci University, Turkey
2Gebze Institute of Technology, Turkey

In the literature, various papers investigate the effects of thetechnological (product and process) innovations on firms
performance. However, research on the effects of organizationalinnovations is rare. Furthermore, the performance of the firms is
usually measured in terms of financial criteria such as the returnon assets or equity and the research on the effects of innovations
on production performance is limited. The objective of this paper
is to explore the role of different innovation types as well as theorganizational innovations on the firm’s production performancebased on an empirical study covering 184 manufacturing firms in
the Northern Marmara region within Turkey. A significant positive
relationship between organizational innovations and the firm’s
production performance is determined.
Case Based Polishing Process Planning with Fuzzy Set Theory
BKK Ngai1, George Q. Huang1, Yingfeng Zhang2, Xin Chen3, Victor Lo1
1The University of Hong Kong, China
2The University of Hong Kong, Xi'an Jiaotong University, China
3Guangdong University of Technology, China

It is difficult to make optimal process planning for polishingproduct because of the complex processes and the multi-criteria,
attributes and vagueness of process parameters. To solve thisproblem, this paper combines the methodologies of Case Based
Reasoning (CBR) and fuzzy Set Theory (FST) to support processplanners in planning processes and making decisions effectively
for polishing product. Moreover, various mathematical models aredesigned and integrated to the Web Based Portal System (WBPS)
which supports the optimization computation of processparameter settings and case reasoning for polishing product.
Finally, some cooker samples from the collaborating company
have been collected to demonstrate the effectiveness of Case Based
Process Planning (CBPP) model.

47

Session
Date
Time
Room
Chairs

Production Planning and Control 2
12/9/2008
13:30 - 15:00
Jupiter 3
Adam T.S. Ng, Kenneth Sörensen

A Genetic Algorithm-based Approach to Job Shop Scheduling
Problem with Assembly Stage
Felix. T. S. Chan1, T. C. Wong2, L. Y. Chan1
1University of Hong Kong, Hong Kong
2Hong Kong Polytechnic University, Hong Kong

Assembly job shop scheduling problem (AJSSP) is an extension ofclassical job shop scheduling problem (JSSP). AJSSP first starts
with a JSSP and appends an assembly stage after job completion.
Lot Streaming (LS) technique is defined as the process of splitting
lots into smaller sub-lots so that successive operations of the same
lot can be overlapped. In this paper, the research problem isdivided into SP1 and SP2. SP1 refers to the determination of LS
conditions for all lots and SP2 is the optimization of AJSSP after LS
conditions have been determined. To solve the problem, we
propose an innovative Genetic Algorithm (GA) approach. To
investigate the impacts of LS on AJSSP, several system conditions
are examined. To justify the proposed GA, Particle Swarm
Optimization (PSO) is the benchmarked method. Computational
results suggest that equal size LS is always the best strategy andGA can outperform PSO for all test problems. Some major
negative impacts of LS are the increase of work-in-process
inventory and total setup cost if the primary objective is theminimization of total lateness cost.
An Approach for Home Load Energy Management Problem in
Uncertain Context
Duy Long Ha1, Minh Hoang Le1, Stéphane Ploix1
1INPGrenoble, FranceThis paper focuses on Energy Management problem applied toresidential sector. The optimizing procedure of energy
management is based on the available prediction (weather
prediction, user's habit etc..) which contains the uncertainty andimperfect knowledge. This uncertainty can be modelled as interval
model. An approach composing three steps is proposed.
Multi-parametric programming is used to calculate the family of a
optimal solution. Two examples are proposed to illustrate thisapproach.
Scheduling on Identical Machines with Batch Arrivals in
Semiconductor Testing House
Tsui-Ping Chung1, Ching-Jong Liao1, L. H. Su2
1National Taiwan University of Science and Technology, Taiwan
2Chung-Yuan Christian University, Taiwan

In the scheduling literature, it is often assumed that jobs arrive
either simultaneously or individually. However, this assumption isinvalid in most practical situations because jobs usually arrive inbatches, e.g., the final testing house in the manufacturing ofsemiconductor. The concept of batch arrivals has been mentioned
in some studies, but it has not been explored from an operational
viewpoint. This paper first addresses an identical parallel machine
problem with batch arrivals to minimize the total completion time.
Since the problem is NP-hard, a heuristic based on binary integer
program is proposed. Computational results show that the
proposed heuristic can efficiently obtain good solutions with anaverage percentage error of 0.41.

48

A Heuristic For Parallel Machine Scheduling With Machine
Preference For The Electroetching Of Aluminium Foil
Chien-Wen Chao1, Ming-Chou Chuang1, Ching-Jong Liao1
1National Taiwan University of Science and Technology, Taiwan

This paper considers a scheduling problem in the manufacturingof anodic electroetching aluminum foil. To reduce cost andincrease efficiency, the manufacturer of aluminum foil usuallydesigns the equipment for electroetching of aluminum foil into
specialized equipment that is dedicated to produce high voltage
or medium voltage aluminum foil based on the range thealuminum foil can bear. Nevertheless, high voltage equipment canbe used to produce medium voltage aluminum foil with longer
processing time, and vice versa. The problem is to schedule jobson the high and medium voltage equipment, each having several
pieces in parallel, with setup times to minimize to the total
completion time. In this paper, we propose a three-stage heuristic
for this problem and computationally evaluate the performance ofthe heuristic relative to the solution obtained using abranch-and-bound algorithm.
Process Sequence Optimization Based on Constraint Matrix
Yujin Hu1, Zhengyi Zhang1, Ling Ling1, Xuelin Wang1, Weijun Huang1
1Huazhong University of Science and Technology, China

The sequence of manufacturing process should meet process
constraints during the Process Planning Optimization. The
qualitative constraints are represented implicitly as geometry
relationships, process rules and manufacturing environment, it isdifficult to apply in the process optimization. A constraint matrix
is established to express process constraints; transfer rules andregulation are also designed to ensure the reliability and theveracity when the qualitative constraint message is transferred
into matrix. Based on constraint matrix, a process sequence
optimization model is set up and Genetic Algorithm is used toobtain the optimal process sequence. An example is presented toindicate that the constraint matrix not only ensure the processoptimization’s veracity but also enhance the performanceefficiency.
Towards a Learning Curve Theory for Batch Production
Anna Chatzimichali1, Vassilios Tourassis1
1Democritus University of Thrace, Greece

Consumer attitudes and fashion trends often impose severe
constraints in manufacturing. When market needs for varied
product designs lead to product competition for a place in the
production schedule, batch size and available production time aredepressed. Due to frequent set-ups and retooling, quality issues
arise that hold back the line from a full ramp up. Consequently,
the major advantage of quality through learning in mass
production is often compromised. In this paper, we stipulate thatin batch production the process of industrial learning becomes
more complex and thus the archetypal exponential or power curve
is not sufficiently rich to describe it. Specifically, we demonstratethat the learning phenomenon appears in double guise: bothwithin and between batches. Actual production data from thefashion-conscious ceramic tile industry provide sufficient support
for our premise about the dynamic nature of learning in batch
production.

Session
Date
Time
Room
Chairs

Production Planning and Control 3
12/9/2008
15:30 - 17:30
Jupiter 3
George Q. Huang, Kemal Kilic

The Block Planning Approach: a Case Study Application fromthe Beverage Industry
Hans-Otto Günther1
1Berlin Institute of Technology, Germany

Block planning is a specific concept for the development of
production schedules based on the definition of setup families andthe production of product variants in a pre-defined sequence. In
process industries, e.g. in the pro-duction of beverages, there isoften a natural sequence in which the various products are to be
produced in order to minimize total changeover time and tomaintain product quality standards. In this type of industry, thepredominant type of production system is “make-and-pack”, i.e.
the final bottling and packaging lines determine the output rate of
the entire production system. A mixed-integer linear optimiza-tion(MILP) model is proposed that determines the size and the timephasing of the individual production lots while ob-serving
capacity constraints of the various production lines and assuring
the coverage of daily demand elements.
Human Resource Planning with Worker Attendance Uncertainty
Adam T.S. Ng1, Huei-Chuen Huang1, Junyong Ng1
1National University of Singapore, Singapore

We consider a human resource supply planning problem where
the staffing levels of different workforce types to fulfill a set of job
demands need to be determined, a priori to full knowledge of theattendance rates of the workers. The objective is to find the
optimal staffing levels that minimize the hiring costs while
maintaining a high certainty of fulfilling all the jobs. We propose
six different approaches for generating solutions to the problem.
Computational experiments are conducted to evaluate theperformance of the approaches. Our experimental results showthat two approaches: one based on stochastic programming andthe other based on robust optimization using an ellipsoid
uncertainty set, outperforms the other approaches consistently invarious performance measures.
Integrated Production Planning for the Multiple-machine Sheet
Metal Shop with Laser Cutting and Air Bending
Bart Verlinden1, Kenneth Sorensen1, Dirk Cattrysse1, Herman Crauwels2,
Dirk Van Oudheusden1
1Katholieke Universiteit Leuven, Belgium
2Lessius Hogeschool - De Nayer Instituut, Belgium

To compete with alternative production methods, sheet metal
working firms need to improve continuously. Improvement efforts
do not solely focus on the production processes, but also on otheraspects of the production chain. Production planning is one ofthose aspects that need to be optimized. The presented research
focuses on production planning optimization for sheet metal
shops with a cutting stage and a bending stage. The combinationof the production plans of the individual processes does not resultin a globally optimal production plan. Consequently, bothprocesses need to be integrated for production planning. In thispaper, an integer programming formulation is presented for themultiple-machine two-stage sheet metal shop production
planning problem. Numerous real-life test cases are used tobenchmark the approach against the current way of planning. To
limit the computational time, a dedicated variable neighborhood
search procedure is presented.

A Two-Stage Method with Mixed Integer Quadratic
Programming for Unit Commitment with Ramp Constraints
Ran Quan1, Jinbao Jian1, Haiyan Zheng1, Linfeng Yang1
1Guangxi University, China

A two-stage algorithm based on branch-and-cut is proposed tosolve the unit commitment (UC) problem. At first, the primal UC
problem is reformulated as a simple mixed integer quadratic
programming (MIQP), then the MIQP is solved by the commercial
software CPLEX. In stage I of the implementation of thealgorithm, a mixed integer linear programming is solved to get its
optimal or feasible solution. In stage II, the MIQP is solved
starting from the solution obtained in stage I. The computation
time of solving MIQP can be saved remarkably with our two-stage
method than with the direct method. The simulation results for 6
systems from 10 to 100 units show that the proposed method isefficient for large scale UC problems. Especially, the proposed
method can achieve good near-optimal solutions.
Minimization of Weighted Tardiness and Makespan in an Open
Shop Environment by a Novel Hybrid Multi-objective
Meta-heuristic Method
Reza Tavakkoli-Moghaddam1, Hadi Panahi1, Mojtaba Haydar2
1University of Tehran, Iran
2Islamic Azad University South Tehran Branch, IranThis paper considers an open shop scheduling problem thatminimizes bi-objectives, namely makespan and weighted
tardiness. This problem, due to its complexity, is ranked in a classof NP-hard problems. In this case, traditional approaches cannot
reach to an optimal solution in a reasonable time. Thus, we
propose an efficient meta-heuristic method by hybridizing a
multi-objective simulated annealing and ant colony optimizationin order to solve the given problem. Two efficient local searches
are also designed and applied to improve solution quality. Finally,
we compare our computational results with a well-known
multiobjective genetic algorithm, namely NSGA II. Comparisons
are made in single objective case as well. The outputs show
encouraging results in the form of solution quality.
Affection of Transmission Line Limits on Dynamic Behavior
Mu Lin1, Zhihui Yang2, Yun Tang1
1Tsinghua University, China
2North China University of Technology, China

Power plants with much strength may make use of the restrictionof circuitry-transmission capacity to increase their market
profitability. Based on a three-node network, this paper mainly
discusses the influence of the restriction of transmission line limits
on the power plants’ decision-making. The equilibriums and thelimit sets of the iteration process are considered, and thebifurcation figure is given. The analysis is well supported bynumerical simulation.
Performance Evaluation of Workflow Scheduling Strategies
Considering Transportation Times and Conveyor Failures
Munir Merdan1, Thomas Moser1, Dindin Wahyudin1, Stefan Biffl1
1Vienna University of Technology, Austria

Workflow simulation is an effective approach to investigate
dynamic workflow scheduling strategies and evaluate system
performance. In this paper we report on a series of performance
tests run on our workflow scheduling and quality measurement
system. Traditional calculations for workflow schedulingstrategies focus only on machine service duration; however, insome contexts the variation of transport time is a significant
scheduling factor. In this paper we augment the scheduling
calculations to explicitly consider the transportation durations
between the machines. In addition, we introduce scenarios with
failures of the transport system, e.g., conveyors, which influence
the variation of transport durations and evaluate the robustness ofworkflow scheduling strategies regarding these variations.

49

Session
Date
Time
Room
Chairs

Decision Analysis and Methods 1
12/9/2008
11:00 - 12:30
Mercury 1
Songlin Chen, Shi-Woei Lin

Multi-criteria Selection of Alternatives for Sustainable Urban
Transportation
Orhan Feyzioglu1, Mehmet Sakir Ersoy1, Gulcin Buyukozkan1
1Galatasaray University, Turkey

The uncontrolled growth in urbanization and motorization
generally contributes to an urban land use and transportation
system that is socially, economically, and environmentallyunsustainable. Thus a major challenge for transportation policy
makers is to identify alternatives that will result in a sustainabletransportation system. Various bus technologies are considered inthis paper for land transportation and different decision-making
groups performed the multiple attribute evaluation of alternative
vehicles with sustainability point of view. In our case, an
important concern is the dependency of decision criteria, in otherwords compromise solutions are preferred and unilateralsatisfaction of a criterion is not enough. To reflect this situation,
Choquet integral based aggregation is proposed and comparedwith other multi-criteria methods. The results show that criteria
dependency is a significant point for the selection of sustainabletransportation system.
Comparison of Feature Selection Approaches based on the SVM
Classification
Feng-Chia Li1, Fei-long Chen1, Gwo-En Wang2
1National Tsinghua University, Taiwan
2Junior Medical College of Jen-Teh, Taiwan

The credit scoring has been regarded as a critical topic. Creating
an effective classificatory model will objectively help managers
instead of intuitive experience. This study proposed four
strategies combining with the SVM (support vector machine)classifier for features selection that retains sufficient information
for classification purpose. Different features preprocessing steps
were constructed with four strategies of conventional Linear
discriminate analysis (LDA), Decision tree, Rough set and F-scoremodels to optimize feature space by removing both irrelevant andredundant features. The accuracy of four models are comparedand nonparametric Wilcoxon signed rank test was held to show
the significant difference between these models. Our results
suggest that hybrid credit scoring models can mostly classify theapplicants as either good or bad clients that are robust andeffective in finding optimal subsets and are a promising method tothe fields of data mining.
Developing a Fuzzy ANP Model for Selecting the Suitable
Dispatching Rule for Scheduling a FMS
Soheil Sadinejhad1, Hosein Didehkhani2, S.M. Seyedhosseini2
1Industrial Management Institue, Iran
2Islamic Azad University, Science and Research Branch, IranThe scheduling of production in flexible manufacturing systems
has been extensively researched over the past years. There aremany models such as MODM and heuristics, have been developedby researchers for scheduling a FMS. Scheduling a FMS is a
MCDM problem contains many criteria. Also there are many
dispatching rules for scheduling. In this paper we develop amodel for selecting the best dispatching rule with respect tocriteria and system conditions. In most conditions there someinner dependencies among criteria so we cannot use AHP. In thispaper we develop an ANP model to consider the inner decencies
among criteria. Finally, we apply the proposed model to prove theapplicability of the model.

50

A Fuzzy Group Decision-making Approach to Evaluate a
Mobile Technology for Logistics Industry
Gulcin Buyukozkan1, Jbid Ani Arsenyan1
1Galatasaray University, Turkey

Efficient logistics and supply chain management are enabledthrough utilization of efficient information technologies. A
personal digital assistant (PDA) is a handheld computer that isused for mobile data applications in different industries toimprove the effectiveness of the organizations. The objective of
this paper is to aid decision makers to identify the mostappropriate PDAs especially for logistics companies. To achievethis, several evaluation criteria have been identified and existingleading PDAs have been investigated. An axiomatic design based
fuzzy group decision making is adopted to evaluate PDA
alternatives. Finally, a case study is given to demonstrate thepotential of the methodology.
A Two Phase Fuzzy Decision Making Methodology for Bridge
Scheme Selection
S. M. Mousavi1, Hooman Malekly2, Hassan Hashemi3, S. M. H. Mojtahedi1
1Islamic Azad University South Tehran Branch, Iran
2Islamic Azad University-South Tehran Branch, Member of Young Researchers
Club, Iran
3Sazeh-Ara Research Center, Member of Young Researchers Club, Iran

Bridge Scheme Selection (BSS) which includes superstructure
types is a complex project engineering that is built up in thepresent paper. By presenting some novel criteria and considering a
fuzzy decision making process, we propose a new hybrid Quality
Function Deployment (QFD) for TOPSIS approach and applied to
BSS project. At last the best type of scheme is obtained.
An Optimization Framework for Multistage
Production-distribution Networks Using Genetic Algorithms
Kim Teng Lai1, Lee Luong1, Romeo Marian1
1University of South Australia, Australia

Researchintheoptimaldesignofmulti-echelon
production-distribution networks has been focusing on
two-echelon models, which comprise the location-allocation ofplants and Distribution Centers subject to specific constraints.
Research in two-echelon models could be for two-stage or
three-stage optimization model. Currently, almost all the researchis in the two-stage model. A three-stage model which integrates
DC and plant location-allocation decisions with vendor allocation
decisions is, however, a more accurate abstraction of the realworld, since the prices and transportation costs of raw materials
can vary significantly amongst the vendors, depending on theirlocations viz-a-viz the plants to be opened. This problem is
NP-complete and consists of a large number of variables. This
paper provides a solution methodology using genetic algorithm
for the optimization of a three-stage, two-echelon, multi-product,
capacitated single sourcing production-distribution model.

Session
Date
Time
Room
Chairs

Decision Analysis and Methods 2
12/9/2008
13:30 - 15:00
Mercury 1
Hwey-Chyi Lee, Chih-Cheng Chen

Can Cooke's Model Sift Out Better Experts and Produce
Well-Calibrated Aggregated Probabilities?
Shi-Woei Lin1, Chih-Hsing Cheng1
1Yuan Ze University, Taiwan

In decision and risk analysis, Cooke's classical model is considered
one of the most widely used methods for aggregating experts'
probability estimates. However, this model's averageprobability
scoring rule may enable experts who dishonestly report theirquantile estimates to obtain higher scores and, hence, to receive
greater weights. In this study, we adopt the leave-one-out
cross-validation technique to perform an out-of-sample
comparison of Cooke's classical model, the equal-weight linear
pooling method, and the best-expert approach. Our results
indicate that while the performance of the classical model is muchpoorer after using an out-of-sample analysis, but Cooke's
performance-weight aggregation scheme still significantly
outperforms the equal-weight linear pooling method or the
best-expert approach. However, the equal-weight approach ismore robust than the classical model on the whole.
The Predictive Accuracy of Feed Forward Neural Networks andMultiple Regression in the Case of Heteroscedastic Data
Mukta Paliwal1, Usha Anantha Kumar1
1Indian Institute of Technology-Bombay, India

During the last few years, several comparative studies forregression analysis and neural networks have been published. Our
paper contributes to this stream of research by comparing theperformance of feed forward neural network and multiple
regression when heteroscedasticity is present in the data. Datasets
are simulated that vary systematically on various dimensions likesample size, noise levels and number of independent variables toassess the consequences of deviations from underlying
assumptions of homoscedasticity on the comparative performanceof regression analysis and neural networks. Comparative analysis
is carried out using appropriate experimental design and theresults are presented.
Structural Metrics for Decision Points within Multiple-domain
Matrices Representing Epc Processes
Matthias Kreimeyer1, Matthias Gürtler1, Udo Lindemann1
1Technische Universitaet Muenchen, Germany

When reengineering or improving an engineering process, it isimportant to systematically examine the process for possible weak
spots. Complexity metrics, which describe how “complex” apossible part of a process is, are a means of doing so. Using them,every single element of a process (e.g. activities, resources,…) orgroups of elements can be reviewed, and those exhibiting
distinctive features can be further considered for improvement.
Such metrics are especially of interest if no quantitative data isavailable but only the qualitative process architecture is at hand,e.g. as a process chart. In this paper, different metrics fromsoftware and workflow engineering (McCabe Complexity,
Control-flow Complexity, Activity / Passivity) are used on aqualitative model of a process incorporating decision points. The
process model is based on a Multi-Domain Matrix extended tocomprise Boolean operators that are typical for process models (i.e.
AND, OR, and XOR).

A Strategic Analysis of Intangible Factors in Technology
Investment
Lilian Borges1, Kim Tan1
1Nottingham University, United Kingdom

Investing in Manufacturing Technologies (MT) is vital tocompanies’ competitiveness. However, many associated pros andcons are intangible by nature, harder to quantify or estimate.
Increased flexibility, improved manufacturing control, betterworking conditions have often been overlooked within the MT
justification process. This research proposes a balanced intangible
framework and process to MT justification. The aim is to provide aframework to assist managers in identifying and ‘quantifying’intangible factors, and a ‘balanced’ MT justification allowing
intangible factors to be incorporated into the decision-making.
This paper introduces the proposed framework and process, anddescribes the preliminary outcomes from an initial case study.
Finally, the research implications and directions for future
research are discussed.
Using DEMATEL to Explore the Interaction Effect of Team
Innovation Factors
Lien-An Hsu1, Hsu-Feng Hung2, Ting-Chun Lu2
1National Chengchi University, Taiwan
2National ChengChi University, Taiwan

As a frequently referenced model for analyzing team innovation,
the input-process-output (IPO) model is utilized to distinguish therelations and the levels between critical factors of team innovation.
Six critical determinants of team innovation, including teammember diversification, team member ability, team member
complementary ability, team leadership efficacy, knowledge
sharing, and team climate for innovation, were identified in aprevious study and used for this study. The relations of these six
factors are straightened out by DEMATEL method. The result is
helpful for future studies as being a good reference for researchers
to construct their relational models of team innovation. Bothorganization and team leaders can enhance the team innovation
though improving the cause factors and control the entire teaminnovation process through monitoring central factors.
Exploration of Intelligent System in Decision Making Relationship of Fuzzy Error Logic Decomposition Word Tf andConnotative Antithesis ╫nhdl
Qiwei Guo1, Qinruo Wang1, Kaizhong Guo1
1Guangdong University of Technology, China

With the developing of fuzzy systems, more and more advanced
control algorithms are being used, in order to make the fuzzy
systems more intelligence. Among these advanced control
algorithms, the systems always have more or less errors anddemerits in them, which will cost the system a lot to reduce. In theworst situation, these errors and demerits can ruin the wholesystem. The major aim of this paper is to explore the conditions,
methods and rules of the fuzzy system errors change ortransformation, we mainly discuss the relationship of fuzzy error
logic decomposition word Tf and connotative antithesis ╫nhdl.
Then, we can get theorems 4.1, 4.2, 4.3, and 4.4, which can be
widely used in fuzzy system errors eliminating. By studying thistheory, the errors in the fuzzy system can maximally beeliminated.

51

Session
Date
Time
Room
Chairs

Decision Analysis and Methods 3
12/9/2008
15:30 - 17:30
Mercury 1
Soheil Sadinejad, Yves De SmetA Model for Evaluating the Performance of the Strategic Plan
Using an Analytic Approach
Abbas Toloie Eshlagy1, R. Radfar1, M. Bahrampour Kivi1
1Islamic Azad University Science & Research Branch, Iran

Evaluation of the performance of the strategic plans of theorganization has been suggested as a tool for controlling therealization of the organizational strategies and goals. In this article,
the estimation of the performance has been viewed as a collective
decision-making phenomenon, and an estimation model with thegap analysis approach. A hierarchical chart has been used in orderto determine the relation among the elements of the strategic
programming, and the SMART method has been used in order todetermine the weights of the strategies as well as the weights of
the observance indices of strategies. In the end, a relation is usedwhich illustrates the relation of the ideal status (the requiredchange) to the predicted status of each index in order to specify
the indices with and without priority that should be improved.
A Study of Degrees of Technology Leverage – In-House R&D
versus Imported Technology
Hwey-Chyi Lee1, Sheng-Shyr Cheng1
1Chang Jung Christian University, Taiwan

This study extends the work of Lia, Hsieh, and Chen (2004) and
Lee and Cheng (2007) by presenting a theoretical derivation ofdegree of technology leverage (DTL). DTL is empirically used to
examine the performance of technology strategy for to make(in-house R&D) or buy (external technology) decisions for 332
Taiwanese manufacturing and high-tech firms. The empiricalresults suggest that imported technology may not be riskier thanin-house R&D in terms of DTL. Using external technology as aleverage is beneficial in creating economic profits for firms;
however, firms need to use other market competitive strategies incombination with their technology strategies to reap the greatest
benefit from new technologies.
Formulating a Robust Strategy Using Scenario Programmingwith a Fuzzy Logic Approach
Reza Radfar1, A. Toloie Eshlaghy1, N. Vartanyans1
1Islamic Azad University Science & Research Branch, Iran

Future is unpredictable, but the point is organizations can prepare
to encounter it which will result in the creation of competitive
advantages. For this situation, organizations should leave theirunidimensional view toward the future, and consider the probable
events in the future in planning, using a multi-dimensional
viewpoint. The methodology of this paper is combines the general
method of formulating strategies with the two common tools thatare used to fight uncertainty, scenario planning and fuzzy logic.
Using the uncertain elements that exist in the environment, thismethod embarks on designing possible scenarios facing theorganization, and with use of fuzzy information, it sets to selectthe most robust strategy of the organization. In this paper, we
compare the common method of strategy formulation with theformulation of strategy through robust methodology, and examine
the results from both methods in an organization.
Priority of strategic plans in BSC model by using of Group
Decision Making Model
Javad Dodangeh1, Javad Jassbi2, Morteza Mousakhani1, Mohammad
Anisseh3, Rosnah Binti Mohd. Yusuff4
1Islamic Azad University Qazvin Branch, Iran
2Islamic Azad University Science & Research Branch, Iran
3University Electrical & Computer Research Center, Iran
4University Putra Malaysia, Malaysia

Strategic planning is especially important for organization's
success and creation of competitive advantage in a competitiveand complicated environment, and on the other hand achievement
and implementation of strategies can perform an important role
for the purpose of organizations' success, balanced scorecard is a
new tool for designing operational strategies. One of BSC's

52

problems is the abs use of priority in strategic plans' performance.
So, in this article by using proposed model, using the consensus oforganization's managers and experts' opinions, measures of four
perspectives and general objectives are determined in BSC, andthen using experts' opinions and taking the relative importance ofdecision makers' opinions into consideration , by using Borda
method that it is one of Group Decision Making Model , theperformances of strategic plans are prioritized in BSC model .
The introduced method is used in a study and extracted resultsfrom it are analyzed from different points of view. In this article
Initiatives is called strategic plans.

Critical Factors of Team Innovation Ranked by SAW, TOPSIS,
and GRA
Lien-An Hsu1, Hsu-Feng Hung2, Ting-Chun Lu2
1National Chengchi University, Taiwan
2National ChengChi University, Taiwan

Sustained innovation is the key to the long-term survival andgrowth of organization. Exploring determinants of teaminnovation within organization is thus an important research
effort. There are more than 20 determinants of team innovation
identified in relevant literatures. The purpose of this study is torank those proposed determinants by SAW, TOPSIS, and GRA
methods, based on opinions of panels of academic and businessexecutives, to recommend a simplified set of critical factors ofteam innovation. The parsimonious framework of team innovation
will be helpful for future researches and promoting teaminnovation.
Analysis of Brownfield Redevelopment by Evolutionary Game
Yanhua Liang1, Peng Guo1, Junfei Hu1
1Northwestern Polytechnical University, China

With the increasing appeal of environmental protection,brownfields have received more and more attendances. The
authors analyze the developers’ costs and profits of two different
strategic choices of project sites and then discuss the interaction of
the developers’ strategic chooses by evolutionary game. It is
concluded that the government’s policies and regulations havemutual influence with the strategic choices of the developers’
project sites. To promote brownfield redevelopment, thegovernment must take efficient measures to lessen the costs of thebrownfield developers.
A Fuzzy Regression Approach To Hierarchical Evaluation Modelfor Oil Palm Grading
Arbaiy Nureize1, Junzo Watada1
1Waseda University, Japan

Measurement of quality is an important task in the evaluation ofagricultural products. The inspection process is normally pursued
on visual inspection basis according to the ripeness standards ofthe crop, and this grading is subject to expert knowledge andinterpretation. Therefore, the quality inspection process of fruits
needs to be conducted properly to ensure that good quality fruitbunches are selected for production. Moreover, it needs to beconsidered during the evaluation that human subjective
judgments make the fruit grading inexact. Hence, the objectives ofthis paper are to build a fuzzy hierarchical evaluation model thatcharacterizes criteria of oil palm fruits, and to decide the fuzzy
weights of these criteria based on a fuzzy regression model. A
numerical example is included to illustrate the computational
process of the proposed model.

Session
Date
Time
Room
ChairsReliability and Maintenance Engineering 1
12/9/2008
11:00 - 12:30
Mercury 2
Lesley Walls, Gopinath Chattopadhyay

Optimal Preventive Maintenance for a Device submitted to
Random and Deteriorating Failures
Han Bao1, Deepa Jaishankar1
1Old Dominion University, United States

A Markov model is used to characterize the performance of acontinuously operating device that is subject to random failure aswell as failure generated by deterioration. The optimum
preventive maintenance of this device is determined by
maximizing its availability with respect to the mean time tominimal preventive maintenance. An example is provided toillustrate the method. The computational work is performed
through Matlab® software. The results indicate that, as
deterioration rate decreases, availability increases and total cost of
maintenance decreases, but the respective increase/decrease
occurs in a non-linear way. On the other hand, as random failure
rate decreases the respective increase in availability and decrease
in total cost of maintenance occurs in almost a linear way. Thus it
is concluded that preventive maintenance is more sensitive to therange of deterioration failure rates than that of random failure
rates.
Evaluation of Technical Vs Economic Decisions in Rail Grinding
Venkatarami Reddy1, Gopinath Chattopadhyay2, Per-Olof Larsson-Kraik3,
Turgut Allahmanli1
1GHD Pty Ltd, Australia
2Central Queensland University, Australia
3Swedish National Rail Administration, Sweden

Rail is a significant capital asset for railway companies. It
contributes more than half of the capital assets of railway
infrastructure. Recent rail inspection data using Ultrasonic rail
testing has shown increasing number of rail defects, failures andcausing disruptions to rail services. This cost can be further
increased when the track quality is poor. In recent years, railroads
have been purchasing over 500,000 tons of rails per year at an
estimated total cost of US $1.25 billion for replacement of wornout and degraded rails. Rail grinding is considered as viablemeans in reducing the impacts of rail defects and failures. Railgrinding can result in improved curving performance (wheel/railinteraction) and prevents crack initiation and propagation of
surface cracks due to RCF. This paper focuses on analysis of rail
degradation process, development of mathematical models
considering technical and economic decisions to rail infrastructureowners.
Optimize a RFID-based Turbine Maintenance Model - a
Preliminary Study
JrJung Lyu1, Tung-Liang Chen1
1National Cheng Kung University, Taiwan

To consolidate the balance of sustained generator and diminishedmaintenance cost in the power plant is one of the most desired
goals of a plant administrator. This goal, in fact, can be fulfilled bya proper turbine maintenance policy. This study presented the useof total productive maintenance and the development of turbine
prevention maintenance models can enhance the efficiency ofequipments. The probabilistic failure analysis model candetermine the maintenance cycle and best maintenance time ofturbine by data analysis. In addition, it is shown that applying theradio frequency identification (RFID) in a prevention maintenance
operational model could generate cost-saving effectiveness.

Availability Analysis of Rubber Preparation System a
Subsystem of a Tube Manufacturing Plant Under Preemptive
Resume Priority Repair
Pardeep Gupta1, A. Jayant1, A. Goyal2
1Sant Longowal Institute of Engineering & Technology, India
2National Institute of Technology, India

An availability model of the gradually deteriorating Rubber
Preparation System, a part of a cycle rubber tube manufacturing
plant is presented in this paper for improving its availability. The
methodology for determining the availability of the system underpreemptive resume priority repair discipline is based on Markov
Modeling. The system undergoes for preventive maintenance (PM)and corrective maintenance (CM) on its transition to degradedand failed states respectively. The effect of repair error inpreventive maintenance on most vulnerable items of the system is
examined to realize the highest level of performance. The failure
and repair rates of the different subcomponents of the system aretaken as constant. Probability considerations at various stages ofthe system give differential equations which are solved using
Laplace Transform to obtain the state probabilities. Performance
analysis of the system has been carried out which helped in
identifying the critical factors and assessing their impact on thesystem availability.
Stability of a General Repairable Human-Machine System
Houbao Xu1, Weihua Guo2, Lina Guo3
1Beijing Institute of Technology, China
2Zhengzhou University of Light Industry, China
3Beijing Institute of Information and Control, China

Availability is an important index of repairable human-machine
system. Both dynamic availability and steady availability of thesystem is investigated in this paper. To study the relationshipbetween dynamic and steady availability, an integral-differential
mathematical model is constructed. With this model, the paper
shows that dynamic availability and steady availability of thesystem is existent and unique. Furthermore, by the method offunctional analysis, the paper shows that the dynamic availabilityof the system converge the steady availability as time tends toinfinity. That is, such repairable human-machine system is
asymptotic stability.
Reliability Centered Maintenance for Rolling Stock: A Case
Study in Coaches' Wheel sets of Passenger Trains of IranianRailway
Seyed Mohammad Rezvanizaniani1, Mahmoud Valibeigloo1, Mahdi Asghari1,
Javad Barabady2, Uday Kumar3
1RAJA Passenger Trains Co, Iran
2Tromsø University College, Norway
3Luleå University of Technology, Sweden

Historically, most of the maintenance tasks in rolling stockcompanies are devoted to Preventive Maintenance which leads tosome problems such as erroneous maintenance work, unnecessary
maintenance tasks, etc. Therefore, it is essential to develop
effective maintenance strategies to deal with these problems.
While the safety is a significant factor in rolling stock industries,
the most well known and widely applied maintenanceoptimization strategy is so called Reliability Centered
Maintenance (RCM). The aim of this paper is to discuss theimplementation of RCM to make maintenance of rolling stock of
the Raja Passenger Train Corporation more cost effective.
Therefore, the paper presents RCM implementation for the wheel
sets which is the most critical subsystem from the rolling stocks
reliability point of view. Finally, it recommends a modified
maintenance plan which is able to improve the maintenanceproductivity by decreasing downtimes of passenger coaches.

53

Session
Date
Time
Room
ChairsReliability and Maintenance Engineering 2
12/9/2008
13:30 - 15:00
Mercury 2
Venkatarami Reddy, Om Prakash Yadav

A Simple Bayesian Estimation of the Gumbel Distribution
Wanbo Lu1
1Southernwestern University of Finance and Economics, China

Practical use of Bayesian estimation of two-parameter Gumbel
distribution often requires a two-dimensional joint priordistribution of the Gumbel parameters. It is particularly difficult
to convince practitioners to believe any results from theirsubjective prior distribution. This paper obtains Bayesianestimation of two-parameter Gumbel distribution by using asimple Bayesian estimation procedure proposed by Kaminskiy
and Vasiliy [4]. The prior information can be presented in the formof the interval assessment of the reliability function, which is
generally easier to obtain. Based on this prior information, theprocedure allows constructing the continuous joint priordistribution of Gumbel parameters as well as the posterior
estimates of the mean and standard deviation of the estimatedreliability function (or the cumulative density function) at any
given value of the exposure variable. A numeric example isdiscussed as an illustration.
Auxiliary Acceleration Factor for Sequential Accelerated Life
Tests: A Case Study
Xiao Liu1, Loon Ching Tang1
1National University of Singapore, Singapore

Accelerated Life Testing (ALT) has been extensively used in
manufacturing industry so as to quickly obtain information about
product reliability. However, when stress levels are low, failures
can still be elusive. To mitigate this problem, a common remedy isto specify a minimum number of failures which may result in longtest time and/or excessive extrapolation. In this paper, an auxiliary
acceleration factor, with its effect well defined, is adopted toamplify the failure probability at low stress levels. Particularly, it
is proposed that an auxiliary stress be applied under a step-stressloading pattern so that the initial stress level will not be too harsh
for the product. Based on Weibull failure time and time censoring(type-I) scheme, we demonstrate an approach for embedding an
auxiliary acceleration factor into the design of sequential
constant-stress ALT through a case study.
Optimal Software Release Policy with Change-Point
Shinji Inoue1, Shigeru Yamada1
1Tottori University, Japan

Testing-time when a characteristic of a software failure-occurrenceor fault-detection phenomenon is observed is ordinarily calledchange-point. The effect of such phenomenon on software
reliability growth process influences on accuracy of the software
reliability assessment based on SRGMs which have beendeveloped under the assumption that the stochastic characteristicof the software failure-occurrence or the fault-detection
phenomenon is not changed throughout the testing. In this paper,
we discuss a framework for software reliability growth modelingwith change-point as one of the solutions to incorporate suchphenomenon above into software reliability assessment, and also
discuss its application to an optimal software release problem
with change-point, which would be one of the interesting issues
for project management of software development. Finally, weshow numerical examples of our model and derived software
release policy by using actual data.

54

Most Reliable Age Replacement Policy; A New Hazard Rate
Analyzing Mathematical Model
Mohamad Mahdavi1, Mojtaba Mahdavi1
1Islamic Azad University Najafabad Branch, IranThis paper represents a new development on the basic classicalage replacement policy, heuristically using the reliability function.
First, an applied mathematical model of reliability function is
obtained, and then based on this model; optimal preventive age
replacement policy will be determined to maximize the reliabilityof the system. For the special systems which meet exponential
density function with constant hazard function, a different simple
decision making model will be proposed to choose optimal
replacement policy based on the reliability function. A real casestudy will be reviewed on the maintenance data collection of two
different industrial machines that one of them meets the Weibull
density and other one has Exponential density function as life
time pattern.
Reliability and Availability of a Continuous Casting Plant
Syed Rizwan1, A G Mathew1, Manik Majumder2, K P Ramchandran1
1Caledonian (University) College of Engineering, Oman
2NIT Durgapur, India

The continuous casting (CC) technique accounts for more than
60% of total liquid steel in the world. The main advantages of steel
processing through the CC route are higher yield, lower energy
consumption, elimination of primary mills. Since the CC plant is
an integral part of most steel plants, therefore, the need for failure
analysis of such a system wherein a CC plant is operating roundthe clock. The real data of a CC plant for four equipments viz.
ladle handling crane 01, 02 and billet handling crane 01, 02 havebeen used for the purpose. Any one equipment failure brings theCC plant to a complete halt and stops the production. The criticalequipment fails due to any one of the five types of failure as
categorized in the data. The paper outlines the modeling strategy
embedded by the types of failures actually depicted in the dataand important reliability indices such as the mean time to system
failure and steady state availability are obtained usingsemi-Markov processes and regenerative point techniques. Graphs
are essentially established to interpret the results.

Session
Date
Time
Room
ChairsReliability and Maintenance Engineering 3
12/9/2008
15:30 - 17:30
Mercury 2
Pardeep Gupta, Shinji Inoue

A Function Failure Analysis Method for Improving Reliabilityof the Product Based on Go-flow Methodology
Zhonghang Bai1, Xiangdong Li1, Runhua Tan1, Benning Lian1
1Hebei University of Technology, China

Reliability and quality of product is not established completely indetail design process, but is brought out essentially in the courseof conceptual design. Flow and operation are the two basic
element of function structure network. The failures of flow andoperation will transfers in function structure network. Failure
analysis is an important technology in product reliability andquality’s guarantee. Anticipatory flow failures and anticipatory
operation failures are determined by analysing function structureof product. Probability of function failure, sensitivity of function
failure, arithmetic mean of failure probability and standard
deviation of failure probability are gained by the function failure
analysis of the function structures using the GO-FLOW
methodology. A function failure analysis method for improving
reliability of the product in the stage of conceptual design isintroduced in this paper. This method introduces reliability design
to conceptual design of product, even the functional design, so
reliability and quality of product can be improved effective in the
top of product design.
The Technical Reliability of Electrical Power Objects in the
Formulation of Management Accountancy
Grazyna Dabrowska-Kauf1
1Wroclaw University of Technology, Poland

This article conducts an identification of the relationship between
technical reliability of electrical objects and management
accountancy, with regard in particular this characterizing the
economics of enterprises in the electrical sector, in which the given
electrical object is exploited and is and fix asset. The cause effectrelationship, which manifests itself between the reliability oftechnical object and economic activity of enterprise manageress
enables management this analyze technical issues in the aspect offinancial results of enterprise. They example of such anddecision, relating this the purchase of electrical object offered hemarket in different prices and different profiles of technicalreliability, it will become apparent, that they should
createcriteria linking technical - economical aspects, using tools fromtwo fields: reliability and management accountancy.
Challenges of Asset Management in Power Transmission
Network
Lutfiye Allahmanli1, Gopinath Chattopadhyay1, Gary Edwards2
1Central Queensland University, Australia
2Powerlink Queensland, Australia

Managing Assets in capital intensive industries such as Power
Transmission has been becoming more complex due touncertainties with long asset life, inspection and maintenance inremote places, environmental factors, statutory requirements
along with deregulation and competition in the open market. In
this paper, the possible challenges are explained with illustrative
examples. Asset management principals for power transmission
network companies are emphasized. The hierarchal levels within
asset management approach are shown with highlighting theimportance of relationship between each level.

A PCA-GA Approach for Weighted Voting System Optimization
Based on Reliability, Cost and System Output Analyses
Vahid Ebrahimipour1, Ali Azadeh1, Shahrzad Faghih Roohi1, Ehsan Shojaei2,
Amin Aalaei3
1University of Tehran, Iran
2Islamic Azad University Abhar Branch, Iran
3Mazandaran University of Science and Technology, Iran

The objective of this paper is to present a model for optimizationof Weighted Voting Systems (WVS). To achieve this objective, acomprehensive study was conducted to recognize economic andtechnical indicators (indices) which have great influences uponsystem performance. These indicators are related to components'
reliability, operation costs, repair and maintenance costs and total
expected output. Principle Component Analysis (PCA) is
employed to provide insight on the importance of performanceindices and to determine their weights. We formulate the problemof finding structure of parallel WVS (including choice of systemelements) in order to achieve a desired level of system output by
the minimal cost and maximum reliability. A genetic algorithm isintroduced and applied as the optimization technique for themodel formulated. A numerical example is presented to illustrate
the ideas.
Resource Allocation: Sequential Design for Analyses Involving
Several Types of Data
Christine Anderson-Cook1, Todd Graves1, Michael Hamada1
1Los Alamos National Laboratory, United States

In analyzing the reliability of complex systems, several types ofdata from full-system tests to component level tests are commonly
used. After a preliminary analysis, additional resources may beavailable and we wish to identify the best new data to collect tomaximally improve the prediction of system reliability. In thispaper we present methodology for determining what new data
should be collected to improve our understanding of the response.
Issues discussed including a metric for assessing improvement,
discrepancies between data sources and incorporating cost into a
comparison of different data types.
Extended Warranty Policies with Warranty Options
Alagar Rangan1, Vahidhossein Khiabani1
1Eastern Mediterranean University, Turkey

We consider a repairable system subject to two types of failures;
minor and major requiring minimal repair and replacement
respectively. Extended warranty models for the system that
includes a free replacement period and an extended warranty
period will be analyzed. Consumers have several warranty
options during the extended warranty period. Explicit expressions
for the manufacturer’s long run average profit per unit time underthese options are obtained. We also consider case of demand as adisplaced log linear function of the product price, fixed warranty
period and the extended warranty period. A numerical illustration
is provided to demonstrate optimal product pricing and warranty
period.
A Modified Imperfect Preventive Maintenance Policy under
Reliability Limit
Mingchih Chen1, Min Wang1, Yu-Hung Chien2
1Chaoyang University of Technology, Taiwan
2National Taichung Institute of Technology, Taiwan

With the growth in complexity of modern systems, the cost ofpurchasing new systems becomes higher ever than before.
Surprisingly, little attention in the literature has been paid to thefailure replacement in these preventive maintenance models.
However, in practice most systems incur increasingly expensive
down time costs when the systems suffer the unexpected failures.
The major changes to the standard maintenance model in thisresearch are the addition of a failure replacement cost for a failed
system and the reliability limit for which system has to be
replaced. The objective of this research is to propose an efficientalgorithm to obtain the optimal maintenance policy. The optimal
maintenance policy is investigated with incorporating the costs ofminimal repair, imperfect preventive maintenance, failure
replacement and preventive replacement. The number ofimperfect preventive maintenance and the control limits of the
optimal maintenance policy are calculated under the expected
average cost rate criterion.

55

Session
Date
Time
Room
ChairsService Innovation and Management 1
12/9/2008
11:00 - 12:30
Mercury 3
Kay Chuan Tan, Tianbiao Yu

Crisis Response: the Message Strategies and Media Coverage
Model
Jianxin Shi1, Minglu Yu1
1Harbin Institute of Technology, China

This paper adopted crisis life-cycle model and media coverage,
based on different message strategies, set up a new model named
Message Strategies and Media Coverage Model (MSMC model), toestablish the relationship between the communication andmessage strategies the enterprises used in response to the crises
and media coverage, and to discuss the impacts of media reports
on enterprises in crises. With the Norton manslaughter and Risingmanslaughter case, which resulted lots of computer systems
paralyzed in China, this paper will verify the validity of the model,
and analyze the different message strategies Symantec
Corporation and Rising company adopted.
An Integrated Method of Kano Model and QFD for Designing
Impressive Qualities of Healthcare Service
Chuang-Chun Chiou1, Ya-Sheng Cheng2
1Dayeh University, Taiwan
2National Taichung Institute of Technology, Taiwan

Healthcare service industry is one of the fast growing service
sectors in Taiwan. Customer satisfaction and patient-oriented
service are becoming important issues and playing significant
roles on establishing sustainable strategies. Due to lack of asystematically effective method of identifying patients’ needs andvoice, in this paper, we present an integrated methodology of
Kano model and Quality Function Development (QFD). Firstly,
Kano model is applied to identify customer needs, and calculate
customer satisfaction coefficient that helps the manager toprioritize the importance of service qualities that can increasecustomer satisfaction. Then, by following the same procedures for
product design the four phases of QFD are used to translate thevoice of the patients’ needs into the regular service planning. With
this methodology, managers can straightforwardly identify andprioritize what customers need. The steps described here arepractical procedures for improving and upgrading healthcare
service. Furthermore, the results can facilitate the managers todevelop sustainable strategies.

Service Quality, Homebuyers' Regret and Dissatisfaction in
China Real Estate Market
Jiang Tao Chen1, Eddie C.M. Hui2, Zhong Ming Wang3
1Zhejiang University, The Hong Kong Polytechnic University, China
2The Hong Kong Polytechnic University, Hong Kong
3Zhejiang University, China

Surveys continuously revealed that many homebuyers suffer
regret and dissatisfaction in China real estate market. Previous
researches on residential satisfaction had focused on attributes ofhouses and individual characteristics, but the effects of service
quality on post-purchase regret and satisfaction were largely
ignored. This paper demonstrated that service quality
significantly impacts residential purchasers’ regret anddissatisfaction by three studies. Moreover, regretful or dissatisfied
homebuyers were found to be likely to engage in word of mouth(WOM) in virtual communities instead of their social network.
This article also indicated that the effects of regret on online WOM,
voice complaint and complaint to a third party were mediated via
dissatisfaction. Finally, implications for real estate service
innovation and management practice and limitations of the study
were discussed.
Reengineering Radiology Transcription Process through Voice
Recognition
Balagopal Gopakumar1, Shengyong Wang1, Mohammad Khasawneh1,
Davette Cummings2, Krishnaswami Srihari1
1State University of New York, Binghamton, United States
2Wilson Memorial Regional Medical Center, United States

Quality and timeliness of radiology reports are critical in thepatient care delivery process. Voice Recognition (VR) has beenviewed as a tool that could revolutionize the traditional radiology
report transcription process and simultaneously improve thereport generation quality. This paper proposes several potential
metrics that could be used to monitor the impact of VR on theoperations of a radiology department. Self-editing of reports holds
the key to the reduction in report turnaround time, as well as the
reduction in transcriptionist needs. Through process mapping of
the current system and the future system after VR implementation,
it was identified that the self-editing of reports may co-exist withthe transcriptionist-based editing of reports due to radiologists’preferences. A simulation study was conducted to gauge the levelof impact of self-editing. The results showed that reportturnaround time could reduce to 2 hours (from about 21 hours)with comprehensive (100%) self-editing.
A Complex Networks Analysis on the Service Businesses of VIPCustomers of a Telecommunication Department
Jianmei Yang1, Guangchao Huang1, Jianyong Feng1, Yufeng Lai1
1South China University of Technology, China

Analysis of Key Features in IPTV Service Quality Model
Kwang-Jae Kim1, Wan-Seon Shin2, Dae-Kee Min3, Hyun-Jin Kim1, Jin-Sung
Yoo2, Hyun-Min Lim4, Soo-Ha Lee4, Yong-Kee Jeong4
1Postech, South Korea
2Sungkyunkwan University, South Korea
3SK Telecom, South Korea
4KT Technologies Labs, South Korea

This paper develops an IPTV service quality model which consistsof three layers of features, namely, QoE, QoS and NP. The key
features and their relationships are identified via two-phasequality function deployment. The issues on the improvement of
the IPTV service quality are also presented.

56

Due to lack of an analysis framework, usually, the studies ofservice businesses of the telecommunication customers are basedon the attribute variables of customers and service business types
respectively, but few on relational variables of them. The
development of complex networks approach provides a simple
and effective framework for the analysis of a large amount of dataof relational variables. By using the real VIP customers data of acertain telecommunication department of Guangzhou, in thispaper,several complex networks models, including Boolean
bipartite network, weighted bipartite network and one-mode
projection networks models ,are constructed first. Then throughexploring the distributions of the important relational variables(the node degree, the node strength and the edge weight) and the
topological properties of these models, we discuss theconsumption characteristics of the VIP customers at using theservice business types of the telecommunication department, andtheir management meaning.

Session
Date
Time
Room
ChairsService Innovation and Management 2
12/9/2008
13:30 - 15:00
Mercury 3
Kwang-Jae Kim, Krishnaswami Srihari

A Fuzzy Multi-objective Optimizing Scheduling for Operation
Room in Hospital
Di Wang1, Jiuping Xu1
1Sichuan University, China

Operating room (OR) is the most resource-intensive place in a
hospital as well as the bottlenecks of resource and patient flow
during treatment process. A reasonable operating room
scheduling plan can help to develop the utilization of operating
room and increase patients' satisfaction. But most of the domestic
hospitals haven't inducted scientific administration methods tobuild their operating room schedules in real-life applications. In
this paper, we develop a fuzzy multi-objective programming
model to optimize the OR scheduling, so as to gain the optimal
results in mathematics. And we also provide a numerical example
to test the model.
Exploring Innovation Model Combine with the Green
Marketing to Consumer's Behavior Influence - a Case Study of a
TFT-LCD Company
James K. C. Chen1, Che-Fu Wang2, Wen-Hsuan Tsai2, Sin-Yi Lin2
1Asia University, National Chiao Tung University, Taiwan
2Asia University, Taiwan

Taiwan is an area with highest TFT-LCD industry density aroundthe world, even exceed Japan and Korea, with anticipating,Taiwan will continue occupying leading position of the wholeworld in the following several years. Because of economy grows
vigorously, the issue seriously damages our environment fromday to day, advocating the green industrial revolution becomes
one of the main trends in the 21st century, green marketing
becomes the crucial operational policy of scientific andtechnological industry. This research plans to use Bass diffusion
model as the foundation structure, putting into the priceparameter, setting up the model of revising, regard A company
LCD as the case. The result of study finds out the model of thisresearch both right ability and predicts ability is weaksignification; demonstrate the sale of influence LCD that green
marketing will be ineffective at the same time.
The Analysis of Relationship Between Burnout, Engagement
and Firm Performance-- Case Study in Hospitality Industry in
China
Lei Wu1
1Hunan Normal University, China

The aim of this study was to determine the relationship between
burnout, engagement and firm performance of employees in thehospitality industry of Changsha city in china. A job
demands-resources model was used. The results indicated (1)burnout mediated the effort of high job demands on firm
performance,(2)work engagement mediated the effects of job
resources on firm performance.

Meta-Service Oriented Collaborative Design Platform forComplex Product
Jia-qing Yu1, Jianzhong Cha1, Yiping Lu1, Nan Li1, Sha-sha Yao1
1Beijing Jiaotong University, China

Nowadays, design of complex product is becoming more
important but more difficult to achieve it. The increasing
complexity of products and services offered by online stores andelectronic marketplaces makes the identification of appropriate
solutions a challenging task. Customers can differ greatly in theirexpertise and level of knowledge w.r.t. such product assortments.
The distributed collaborative design for complex product is a newmode based on concurrent engineering and multidisciplinary
collaborative design, using various domain knowledges of CAX /DFX. At present, the most advanced collaborative technology inthe world is based on the Service-Oriented Architecture (SOA).
According to the theory of intelligent engineering, this paper
presents a novel definition - meta-service system, whose core ismeta-service resources. Based on meta-service system, this paper
gives a distributed collaborative design platform for complex
product. Take the design and development of the railway bogies
as an example to demonstrate the application and advancement of
the new platform.
Research of Networked Technical Service Oriented Production
Process Based on Multi-agent
Tianbiao Yu1, Jing Zhou1, Kai Zhao1, Ge Yu1, Wanshan Wang1
1Northeastern University, China

In order to improve quality and efficiency of technical service
oriented production process, shorten producing cycle of product,a new mode of the technical service is presented, which is
networked technical service based on multi-agent. This newtechnical service paradigm is different from traditional technicalservice paradigm. It has property of cooperation, automation andintelligence. It can integrate dispersed manufacturing and service
resources more efficiently, create more value for enterprises andcustomers, and better innovative technology. Function of the
networked technical service system is analyzed and based on it athree-layer network architecture of the networked technicalservice system is researched. For the system developing, thetechnology of multi-agent and the technology of data sharing andtransformation are studied. Base on these works a prototype
system of networked technical service is developed. Results of thesystem running prove the theory is correctness and the technology
is feasibility.
An Application of OR and IE Technology in Bank Service
System Improvement
Xiaobing Pei1
1Tianjin University of Technology, China

In this paper, we discussed the application of OR and IE
technology in the activity of improving bank service efficiency.
Using queue theory, we studied how to arrange queues andservice windows in order to get the most efficiency of the systemand the least latency time. Then, we used the methods of the time
study and the act study to reform the disposal of workchart,
improve operating action, enhance efficiency and reduce work
intensity of bank staffers.

57

Session
Date
Time
Room
ChairsService Innovation and Management 3
12/9/2008
15:30 - 17:30
Mercury 3
Chuang-Chun Chiou, Jinghua Li

New Service Development Using Gap-based Quality Function
Deploment: Hall Service of Mobile Telecommunication Case

Predicting Bed Requirement for a Hospital Using Regression
ModelsLei Xu1, Jinghua Li1, Xin Liu1
1Zhejiang Gongshang University, China

Arun Kumar1, Jianxin(Roger) Jiao2, Sung Shim3
1RMIT University, Australia
2Nanyang Technological University, Singapore
3Seton Hall University, United States

Quality function deployment (QFD) is a customer-oriented
structural development approach in manufacturing whereas the
Gap model told us the truth of service psychological process.
Along the gaps in the circle of service satisfaction, a new model ofservice quality function deployment (SQFD) has been establishedto develop new service. A Chinese mobile telecom case study (hallservice) has been employed to verify and revise the model. We
found that the Gap-based QFD model expands the investigative
scope of Gap study from Gap 1 and/or Gap 5 to Gap 1 to Gap 5. It
is a useful tool to develop new service using a reasonable anddelicate combination of Kano model, SERVQUAL scales, and Gap
circle. The limitations source from the integration of psychologicalprocess and engineering tool, and the informal process of service
development. Therefore, the situation and methodolohy of thismodel need to develop more.

High hospital bed occupancy levels have resulted into a shortageof beds to meet increasing demand. This paper describes a bed
prediction model in aiding hospital planners to anticipate bed
demand so as to manage resources efficiently. Through theregression models, it was found that the number of weekly meanoccupied beds is related to both the rainfall and the data on
Dengue cases as provided by the Ministry of Health. The
regression models performed well for predicting average class B2
and class C occupied beds in the following week. Previous week’smean occupied beds, emergency admissions numbers, A&E
attendances and special events on the week were found to besignificant predictors of bed occupancy in class B2 and class C
wards.

Utilisation of Product Lifetime Information AcrossOrganizational Boundaries in the Development of Maintenance
Services
Toni Ahonen1, Ville Ojanen2, Markku Reunanen1, Marinka Lanne1
1VTT Technical Research Centre of Finland, Finland
2Lappeenranta University of Technology, Finland

Development of industrial services offers product manufacturers
new possibilities for the utilisation of lifetime information in amore effective way. Product lifetime information has several
purposes of use including the development, management andimplementation of services. Additionally, the manufacturer
providing services has the advantage of efficiently utilising theaccumulated information in the product development. Service
provider can create added value by processing, analysing andconverting the gathered data into knowledge that can be utilised
in providing better services. Thus, the asset owner will benefit
from sharing the information by receiving better managed andimplemented services resulting in improved equipment efficiency.
Sharing relevant lifetime information calls for transparency fromall parties involved. Building the kind of framework presented inthis paper for the shared information content and procedures forthe utilisation of the information will help in clarifying thecommon objectives in the relationship between the customer andservice provider.
Research and Analysis of Enterprise Capability Elements Basedon Customer Value
Mingli Zhang1, Wei Jia2, Chenliang Li2
1Beijing University of Aeronautics & Astronautics, China
2Harbin Institute of Technology, China

The competition advantage stems from value creation forcustomers. Focusing on logistics enterprises, customer value
composition are identified and a three-hierarchy framework ispresented from a view of creating and delivering superior
customer value. A model of fuzzy comprehensive evaluation on
service capability of logistics enterprises is built. The local level of
evaluation: knowledge recognition, unite activity, logistics service
capability and so on. Secondary evaluation: information
integration, business process and relationship marketing. The
article adopts the fuzzy synthetical evaluation to evaluate thecapability of logistics enterprise and offer the theoreticalfoundation for improving enterprise capability.
The Industrial Services Reference Model
Marco Gerosa1, Marco Taisch1
1Politecnico di Milano, Italy

The need to integrate service providers into an existing customer
supply chain requires the collective know-how of the coordinationmode, including the ability to synchronize interdependent
processes, to integrate information systems and to cope with
distributed learning. About this topic the EU-funded InCoCo-S
project is developing a new standard business reference model

58

with key focus on operation & integration of business related
services in supply chains. Based on the requirement analysis
concrete business processes have been developed to integrate
services in the existing customer supply chain both on a strategicand operational level.

Workforce Planning in the Banking Sector - A Case Study
Veronique Limere1, Hendrik Van Landeghem1
1Ghent University, Belgium

In this paper we describe the development of a planning tool for a
department of commercial credit applications of a large player inthe Belgian banking sector. The tool is created to cope with service
level agreements (SLA) that put a limit on acceptable throughput
times of credit requests. Currently, SLA requirements are not well
met and customer satisfaction is low. Because of the highlyvariable process times and complex flows with rework loops, adeterministic scheduler is not appropriate. Simulation is therefore
used to model the processes. Firstly, matching simulation resultswith real data reveals if the processes are lean, and fine-tuning canbe done. Secondly, based on simulation results a tool can be
developed representing expected throughput times and SLA
impact for different degrees of capacity utilization. Consequently,
different workforce allocations can be tested and deliberatechoices can be made.
Analysis for Critical Success Factors of Energy PerformanceContracting (EPC) Projects in China
Yang Zhang1, Qingmiao Han2, Changbin Liu1, Jinying Sun3
1Beijing University of Civil Engineering and Architecture, China
2Harbin Institute of Technology, China
3China Architecture Design and Research Group, China

The energy shortage and energy waste have created a bottleneckin economic growth in China. The energy performance contracting
concept provides a solution to overcome the difficult. An
investigation of “critical success factors of EPC projects in China”
has been carried out in energy service company and research
institute. This paper identifies 23 CSFs and analyzes the mostimportant CSFs of them. The 23 CSFs are divided into internaland external factors. Based on the analysis, some suggestions ofimproving the level of EPC project was given.
Competitive Strategy of Enterprise Based on the Principle ofEcological Niche
Xiaofeng Wang1, Zhi-xiang Li2, Pang Zhou3
1Hebei University of Science and Technology, Beijing Institute of Technology,
China
2Beijing Institute of Technology, China
3Hebei University of Science and Technology, China

Having borrowed ideas from the principle of ecological niche, thispaper presents the concept of “ecological niche” of enterprise. In
this paper, ecological niche theory is used to discuss the enterpriseecological niche and the effect on enterprises’ existence,developing. Abided by the following principles during theformation of their ecological niches: the principle of adaptation,
the principle of competition, the principle of reclamation and theprinciple of balance, which refers to three further competitive
strategies of enterprise: the strategy of dislocation business, thestrategy of ecological niche continuation and the strategy ofdummy ecological niche.

Session
Date
Time
Room

Poster Session 1
12/9/2008
10:30 - 11:00, 15:00 - 15:30
Venus 1

The Determinant of the Strategic Value with Human Resource
Management on Transnational Enterprises
Tyrone T. Lin1, Chie-Bein Chen2, Yi-Shin Chen1
1National Dong Hwa University, Taiwan
2Takming University of Science and Technology, Taiwan

This study utilizes the real options approach to construct themodel of entering the international manpower market in order toeffectively evaluate the potential value and obtain the optimal
foreign exchange rate under the uncertain situation. That is,building the decision rule and threshold for entering theinternational manpower market can help evaluate the influence of
hiring domestic or foreign manpower on the enterprise value.
Product Line Management for Health Care System: Theoretic
Capacity Planning Over Various Resources
Guangfu Tai1, Peter Williams1
1University of Limerick, Ireland

Hospitals can be viewed as service enterprises, whose products
are specific sets of medical services provided to individual
patients. It indicates that a hospital in theory has a product line asextensive as the number of patients it serves, however, eachpatient has certain diagnosis and therapeutic attributes incommon with some other patients. Thus, patients with similar
medical attributes could be ‘processed’ in a single ‘product line’,
which means treatment process of these patients can be regarded
as process of medical resource consumption at average level ofthis patient group. Based on this assumption, in this paper, we
propose a model to analyze theoretic capacity balance and optimal
investment allocation over various medical resources. This paperargues the mismatch between demand and provision of healthcare service is not only relevant to capacity lack, but also reflect
inappropriate capacity allocation over various health careresources.
The Impact of Decision-making during Environmental Mutation- Substantial Change of Fuzzy Error System
Qiwei Guo1, Kaizhong Guo1, Qinruo Wang1
1Guangdong University of Technology, China

Environmental mutations always happen around all the systems,
according to the impact of these changes which seems to beinnocuous, the decision makers may often neglect or consideredless about them, so that these systems will often pay their price.
Through the exploration for the mutation of fuzzy error system,
the status and characteristics of its model can be analyzed.
Therefore, the decision-maker can adopt corresponding tactics tohandle the intensive change of decision-making environment. At
the same time, by the study for the mutation of error, it can
provide a quantitative tool for scientific decision making. The
major aim of this paper is to give a foundation for the applicationof the mutation of fuzzy error system. It will have widespread
application in the actual live. By studying this theory, the case thathas significant change in decision-making courses can be solved.
A Study on the Water Resource Pricing Problem Based on the
Recycling Economy Concept
Qing Tian1, Yixiu Cui2, Xue Zheng1
1Harbin Institute of Technology Shenzhen Graduate School, China
2Guangdong Institute of Science and Technology, China

In order to establish a scientific and reasonable price of water
resources and to exploit water resources reasonably, on the basisof literature reviews, this paper proposes a full cost water resource
pricing model, points out the method to determine the watersupply price, opportunity costs, external costs and the water
resource price ceiling, and develops the water resource dynamic
price model at the same time. Finally the paper takes Shenzhen asa case to test the validity of the model. The results indicate thereasonability of the method.

The Optimal Pollution Technical Standard Model with theEnvironment Economy
Tyrone T. Lin1, Jing-Hong Huang1
1National Dong Hwa University, Taiwan

This study attempts to analyze what kind of environmental
pollution technical standard to transform the new technology will
have the maximum economic efficiency, and to decide when it is
the best timing for transforming the environmental pollution
processing technical standards.
A New EOQ Model for the Life Inventory of Tools
Chao Xu1, Baozhi Xie1
1Southeast University, China

The traditional inventory model is on the assumption that the
goods or materials in the inventory are lifeless. It is weak for the
traditional theories of inventory to give a substantial description
for the kinds of goods with some applicable lifecycle such as tools
and molds. In this paper, tool inventory is taken as the discussed
topic and a new tool life inventory model with some self-digesting
engine is presented. Based on the performance analysis of theinventory, a new EOQ model is worked out. The data simulationof the model shows that it is better to describe the practicalbehavior of the tool life inventory. The cost of the inventory varies
with its recovering ability and will be lower than that of the
traditional inventory in some range. The traditional lifelessinventory model is just a special case of the economic life
inventory model.
Cost Elasticity Analyzing Model of Construct Project
Dongbing Huang1, Wen Zhang1
1Guizhou College of Finance and Economics, China

To solve project cost control problem, the concept of project costelasticity is introduced and the model of project cost elasticity
analysis is proposed. Case study shows that the cost elasticity
model is useful and helpful to control project costs. Finally, a road
map is provided for stockholders to use cost elasticity model tocontrol project costs.
Evalua-Test: a Random Test Generator
Teresa Alvarez1, Eduardo Sanz1, Estefania Sastre1, Mohamed Bolajraf1
1University of Valladolid, Spain

Evalua-Test is an Internet tool that allows students to examine
on-line their knowledge of certain subjects using a web
application. It has been programmed using Java for the users’interface and Scilab for the mathematical calculations. Process
Control and Communication Systems subjects taught at theComputer Science Engineering Degree by our department havebeen chosen for testing the tool.
Study on Personality Traits and Key competence of R&D Staff:
An Empirical Analysis in Taiwan
Chung-Hsiung Fang1, Ya-Chin Kang1, Guan-Li Chen1, Yu-Shan Cheng1
1National Taiwan Normal University, Taiwan

In the environment with sharp market competition, the enterprise
could achieve the absolute advantage in technology, maintain thestatus of its product and establish the base of sustainable existence
only by the continuous research and development. This study uses
the reliability, validity, descriptive statistic, T test, and ANOVA.
The objective of this study includes: finding and confirming thecompetence that an outstanding R&D staff should be provided by
the conclusion of relevant domestic and foreign literatures and theinterview with the industrial supervisors, and the discovery ofthis study could be used by the organization as the reference andsuggestion in talent selection, performance evaluation, training,development, guidance negotiation and even the individual careerplan in the future.

59

Development of Shop Floor Control System and Performance
Indicators for Plastic Injection Manufacturing
Parames Chutima1, Nonticha Nimsaard1
1Chulalongkorn University, Thailand

The objective of this research is to develop shop floor control
systems and performance measurement indicators suitable forplastic injection manufacturing in Thailand. This research collects
primary data from several factories and uses a systematicallydesigned questionnaire to interview both experts and practitioners
in the field. The shop floor control system represented by IDEF0
technique is then developed. Furthermore, the performanceindicators (PI) of the production operations that conform to thereal operations occurring on the shop floor are created. The resultsfrom the research can be used as a guideline for entrepreneurs inorder to produce continuously and fully utilize the production
capacity. In addition, they could use the selected performanceindicators to assess the efficiency of their organizations and could
benchmark against other entrepreneurs in order to find the ways
for productivity improvement.
A Simulation Optimization Approach for Facility Layout
Problem
Guoxin Wang1, Yan Yan1, Xiang Zhang1, JingChang Shangguan1, Yanqiu
Xiao1
1Beijing Institute of Technology, China

In order to response effectively to the changes in product mix andvolume, manufacturing facility need to be changed frequently. So
the facility layout design becomes critical. In the paper, asimulation optimization methodology is proposed to resolve thefacility layout problem. Firstly, candidate facility layout schemes
are suggest by GA that automatically guides the system towards
better solutions. Secondly, Simulation models are used to evaluate
the performance of candidate facility layout schemes, the resultsof evaluation are returned to the GA to be utilized in selection of
the next generation of candidate facility layout schemes to beevaluated. This process continues until a satisfactory solution is
obtained. Finally, a case study is presented to illustrate theapplication of the proposed approach.
Research on the Driving Forces of Born Globals’
Internationalization: Cases from Developing Country
Ying Zhou , Chang Li , Songting Pan
1Zhejiang University, China
2Zhejiang Gongshang University, China
12

1

Born global (BG) is the new ventures with fast internationalization
soon after its foundation. Constrained by resources limits, BG has
to rely on network and resources to promote internationalization.
This paper constructs a driving force framework composed with
network and key resources to internationalization based on theview of network and resources. After defining key resources, thispaper illuminates the networks’ direct effects by forming trust andreciprocal and indirect effects by acquiring key resources on BG’sinternationalization with the multi-case research on enterprises
from high-tech and traditional manufacturing industries indeveloping country.
Study on Activities of Daily Living of Human Body
Jianguo Zhang1, Haiyan Song1, Qiang Xue1
1Tianjin University of Science &Technology, China

Study on Activities of Daily Living(ADLs) can be used in many
research fields, but it is very complex. In this paper 40 basic ADLs
were summarized by collecting and analyzing all the ADLs ofhuman body. Then the experiments on 9 healthy adults who
performed these 40 activities were conducted. All the procedure
was recorded by using a digital vidicon. As a result 17 typical
basic actions were obtained by disassembling and abstracting each
ADL. These basic actions can substitute for ADLs when we
research on the ROM in motion measurement of human body andother research fields, such as study on safety ergonomics of theliving space for the aged and disabled, evaluating an individual'sability to perform ADLs etc. Experiment efficiency can be
improved greatly with the results of this paper.

60

Association Rule Mining for Affective Product Design
Xi Yang1, Du Wu2, Feng Zhou1, Jianxin(Roger) Jiao1
1Nanyang Technological University, Singapore
2Tianjin University, China

Affective product design implies a gradual shift of design focus
from functional aspect to affective/emotional aspect. It evolves as
an interdisciplinary research topic between human factors,
industrial design and many other disciplines. This paper applies
association rule mining to reveal the mapping relations between
customer affective needs and configuration of design elements.
Generic affective dimensions of truck cab design were identified
by clustering analysis.
A goodness criterion was introduced torefine association rules. A case study of Volvo truck cab design
was conducted based on the proposed methods.
How to Design and Process Brand Identity through an
Integrated Innovative Approach
Nattapong Kongprasert1, Daniel Brissaud1, Carole Bouchard2, Ameziane
Aoussat2, Suthep Butdee3
1G-SCOP, University of Grenoble (Grenoble-INP), France
2Art et Metiers PARISTECH, France
3King Mongkut's University of Technology North Bangkok, Thailand

Presently, the leather goods industry in Thailand is facing a severe
competition. According to customers the quality and image of
products from Thailand are dissatisfying. Thai products often notmeet customer satisfactions and requirements mainly due to lackof identity. The research aims to evaluate the brand identity to
semantics and presence of design elements, and to validate theperceived message according to what is expressed in productadvertising associated with the perception of customers. This
paper focuses on the analysis of customers’ perception after thedetailed design of the product. It includes 2 phases. The firstphase aims to explore the customers’ perception to product visualform of luxurious brand. The second phase aims to explore thedesign elements with express brand identity. This approach willlead further study in order to improving the design expression
through specific design elements.
An Administrative DSS for the South-to-North Water Division
Based on Multi-agent
Chunlai Chai1, Jingchun Feng2
1Hohai University, Zhejiang GongShang University, China
2Business School of Hohai University, China

The South-to-North Water Division Project is by far the world
greatest key water conservancy project under the direct leadershipof the State Council of China. The administrative decision-making
is very important for Construction and Management regulatory
agencies. However the decision-making procedure has been low
efficient for the past few years. An administrative DSS based on
multi-agent technology is proposed in this paper, which improves
the decision-making effectiveness and efficiency through the
distributed collaboration of different decision-making agents.
With rapid development of computer science, thisdecision-making support system may act as a new paradigm forthe administrative decision-making.
A Technology Roadmap on SOA for Smart Embedded Devices:
Towards Intelligent Systems in Manufacturing
Alessandro Cannata1, Marco Gerosa1, Marco Taisch1
1Politecnico di Milano, Italy

Intelligent systems, composed of devices with embedded
computing capability, sensors and actuators to interact with theenvironment, will enhance and support manufacturing in the
future. SOCRADES (Service-oriented cross-layer infrastructure for
distributed smart embedded devices) is a European research
project that focuses on the development of a platform fornext-generation industrial intelligent systems, exploiting SOA
paradigm. Within SOCRADES a Technology Roadmap is being
developed. Its aim is to provide inputs for the orientation oftechnological research to achieve the long term objectives required
for the enhanced and pervasive exploitation of intelligent systems
for manufacturing support. We present the Expected Features ofTechnology Areas (EFTAs) identified within SOCRADES
Technology Roadmap. Then we show how the outcome of
SOCRADES Technology Roadmap addresses important needs
such as those pointed out by the Strategic Research Agendadeveloped by ARTEMIS (European Technology Platform for
Embedded systems).

Process Capability Analysis for Life Cycle Application

Study on Motion Measurement of Human Upper Limb Based on
Electromagnetic Tracking System

Process capability analysis was used to measure and control thequality level of a process in real exercises for an on line quality
management. There is a deficiency in this type of management,
namely the defects which occurred in the production process were
only detected and modified afterward, and passively. Generally,
improvement by the correction of defects is very costly andinefficient. Hence, there is an attempt to broaden the time frame ofprocess capability analysis from the end of process planning or
product design, i.e., on line application, to the beginning ofprocess planning or product design, i.e., off line application. In
this regard, the present research develops a process capability
analysis for the application covering pre-production stage,
on-production stage, and post-production stage. The new processcapability analysis is extended from conventional Cpm withconsideration of the balance between production cost and quality
loss.

Jianguo Zhang1, Haiyan Song1, Qiang Xue1
1Tianjin University of Science &Technology, China

The measurement and analysis of human motion is widely used inrehabilitation, athletics, ergonomics, diagnosis, bionics andcomputer graphics etc. We have developed a motion measurement
and analysis system for human upper limb based on PolhemusTM
electromagnetic tracking system in this paper. According to theskeleton structure of human, the joint coordinate systems werebuilt in shoulder, elbow and wrist joint. Then put forward an
improved algorithm to calculate motion parameters of upper limb
based on above-mentioned model, and successfully programmed
the algorithm with Visual C++ which can calculate the range ofseven DOF in motion with data collected by the electromagnetic
sensors. Finally, basic actions of human arm in ADLs were
measured using this system, and the range of seven DOF inmotion were got .The test shows it is an accurate and easy way formotion measurement of upper limb.

Angus Jeang1, Chien-Ping Chung1, Chiao-Ju Hung1
1Feng Chia University, Taiwan

New Model and Hybrid Genetic Algorithm for Component
Placement of Multi-head Gantry Mount Machine
Xuan Du1, Zongbin Li1
1Xi'an Jiaotong University, China

A Differential Evolution Approach for Machine Cell Formation
Yucheng Kao1, Jin-Cherng Lin1, Jian-Kuan Wu1
1Tatung University, Taiwan

This paper presents a new approach based on differential
evolution algorithms to solve cell formation problems. The
proposed approach handles the problem in a way of dataclustering and can form machine cells and part families
concurrently. Differential evolution is simple to implement andhas fewer parameters needed to set. The proposed approach
applies differential evolution to find machine cluster centers andpart cluster centers at the same time. A number of test problems
had been selected from literature and the experimental results
reveal that the proposed approach is able to solve cell formation
problems effectively.
The Responsiveness of Order Fulfillment in BTO: Five Cases ofChinese Automotive Manufacturers
Xiang Zhang1, Rongqiu Chen2, Guoxin Wang1, Yanqiu Xiao1, JingChang
Shangguan1
1Beijing Institute of Technology, China
2Huazhong University of Science and Technology, China

Responsiveness is one of the key factors for the success ofbuild-to-order (BTO) strategy. This paper aims to analyze theresponsiveness of order fulfillment of BTO strategy in the Chinese
automotive industry. Using the data collected at five Chinese
automotive manufacturers, we find that the optimization of orderprocessing is the key point to shorten the total OTD time. In
addition, we obtained the time distribution of order-to-delivery
process of BTO, including the order processing stage, producing
stage and outbound logistics stage.
An Improved Particle Swarm Optimization for Pre-denoise at
the Exhaust Pipeline Design Stage
Hushan Shi1, Shengdun Zhao2, Jianping Wen2
1Xi'an Jiaotong University, Baoji University of Arts and Sciences, China
2Xi'an Jiaotong University, China

Optimization pre-denoise at the exhaust pipeline design stage
based on an improved particle swarm optimization (IPSO) ispresented in this paper. Particle swarm optimization (PSO) iseasily understood and realized, and used as a problem-solving
method to many complex engineering problems. Cloud model isused to standard PSO to improve the global search ability andmake the convergence faster. In the IPSO, cloud model is used toinitialize the particle swarm and update the velocity equation.
Inertia weight nonlinearly decreases with iteration time process in
the improved velocity equation. The improved particle swarm
optimization is applied to pre-denoise by optimizing at theexhaust pipeline design stage. The calculated results show thatIPSO outperforms standard PSO in solving the pre-noise problem.

The mechanism and placement process of multi-head gantry
mount machine (MHGM) is analyzed. Based on the engineering
analysis, the optimization problem of placement process isdecomposed to component grouping, component group pickup
and component group placement problems, an integrated
optimization model of MHGM is formulated, the minimum
displacement of arm is objective. The component size, nozzle
change and different component arrangement strategy in slots is
considered. Combined with heuristic method and genetic
algorithm (GA), a hybrid GA (HGA) is adopted to optimize theplacement process. In the individual chromosome, the feeder
index and slot index describe the arrangement sequence andposition of component types in the slot. The HGA use improvedorder crossover, adaptive mutation and local search and contains aparallel structure. The component placement sequence and thefeeder arrangement are optimized simultaneously to improve theassembly efficiency.
Study on a Design Model for the Combined Functional
Periodicity Obtaining Process
Peng Zhang1, Zhonghang Bai1, Fang Liu1, Runhua Tan1
1Hebei University of Technology, China

The obstacle is that functional periodicity is difficult to obtainwhen Complexity Theory based on Axiomatic Design is used toeliminate system’s complexity. There are several kinds ofcharacteristics in the complex problem. It is the key for thecharacteristics to help designers obtain the simple functional
periodicity. But if the features are not obvious or the simple
functional periodicity obtained by the characteristics can noteliminate the complexity, the combined functional periodicity
should be introduced to eliminate the system’s complexity. This
paper proposes a new design process which combines Complexity
Theory with Theory of Inventive Problem Solving (TRIZ). The
design process can help designers obtain combined functional
periodicity of the system. A case study shows the application of
the process.
Function-oriented Product Integrated Innovation
Fang Liu1, Yu Yang1, Peng Zhang1, Runhua Tan1
1Hebei University of Technology, China

Functional integration is an effective approach to productinnovation. The laws of needs evolution proposed by Petrov are
introduced. The future needs of a product are forecasted by using
the laws of needs evolution. Customer needs can be satisfied byfunctional integration. Three functional integration modes areproposed, and contradiction in functional integration is discussed,
which can be solve by TRIZ. A process model of function-oriented
product integrated innovation is put forward. A case study of heatmeter illustrates the innovation process.

61Coned Context DEA Model with Application to Mutual Funds
Evaluation

An Integrated Scheduling and Automated Material Handling
Approach for Complex Manufacturing Systems

Xiujuan Zhao1, Wuyi Yue2
1Beijing University of Posts and Telecommunications, China
2Konan University, Japan

René Drießel1, Lars Mönch1
1University of Hagen, Germany

This paper proposes a coned context-dependent DEA model byincorporating cone ratios into context-dependent DEA models.
This allows for the input of experts knowledge and judgment in
the production of rational scores that evaluate mutual funds
relative attractiveness and progress. Based on this model, we
make an empirical study of mutual funds in China and manage todraw some insightful management information. The paper showsthat the coned context measure helps investors to select the best
fund and helps fund managers to identify any potential
competitors. The reason of performance differences andimprovement venues are also analyzed.
Using Predicting Particle Swarm Optimization to Solve the
Vehicle Routing Problem with Time Windows
Chun-Ta Lin1
1Yu-Da College of Business, Taiwan

In this paper, the Predicting Particle Swarm Optimization(Predicting PSO) algorithm based on original PSO which modified
by three new solution strategies has been proposed to solve thewell known VRPTW problems. Predicting PSO algorithm not only
can modify the variance between current status and memorial best
status, but also can forward predict what the best status should beat next time status based on memory. The Predicting PSO
algorithm has also been tested on Solomon’s benchmark problems.
The findings indicate that the proposed algorithm outperforms
other heuristic algorithms.
Enterprise Systems Success Assessment: Viewpoints of IS
Function Staff and End-users
Mikko Kaataja1, Ilkka Kouri1
1Tampere University of Technology, Finland

The success of Enterprise Information System implementation has
become a major management concern. Different methodologies
have been proposed to evaluate En-terprise System (ES) success.
Some researchers have empha-sized the need for evaluating the ES
success from the view-points of several stakeholder groups. These
stakeholders typically have several and often conflicting objectives
and priorities. The goal of this study is to determine whether
differences exist between two organizational stakeholder groups(IS function staff and end-users) concerning their evaluation of
measures relating to the success of their Enter-prise System.
Several differences were found. Some results support and some
contradict previous studies. This study also proposes new
dimensions and measures for the ES suc-cess assessment model.
More research is needed to construct a more comprehensive ES
success assessment model to in-clude the perspectives of all
essential stakeholders.
Developing a Procedure-based Genetic Algorithm forOverlapping Flow Shop Scheduling
Chang-Lin Yang1, Shan-Ping Chuang2, Tsung-Shin Hsu3
1Fu Jen Catholic University, Taiwan
2Huafan University, Taiwan
3National Taiwan University of Science and Technology, Taiwan

This study makes an attempt to develop a procedure-based
genetic algorithm, abbreviated as PBGA, heuristic for solving thescheduling problem of overlap manufacturing. In spite of themathematical formulation-based GA approaches had received
considerable attention; the tasks of developing the formulationand then converting into GA heuristic are still troublesome.
Accordingly, the attempt uses the scheduling procedure directly inGA’s heuristic to solve overlap flow shop scheduling problem. By
avoiding the mathematical formulation, the proposed heuristic is
expected to be more acceptable by the users in flow shop
environments and helpful as an effective overlap scheduling toolfor different interests.

62

In this paper, we suggest an extension of the shifting bottleneckheuristic for complex manufacturing systems that takes anautomated material handling system (AMHS) into account. We
use the heuristic within a rolling horizon approach. Simulation
experiments with models of manufacturing systems with process
conditions similar to those found in semiconductor wafer
fabrication facilities (wafer fabs) are performed.
Innovation Intermediary for Creating Regional Knowledge
Capabilities in Knowledge Cluster
Chia-Han Yang1, Chih-Jen Chen1, Joseph Z. Shyu1
1National Chiao Tung University, Taiwan

This research aims to analyze the role of innovation intermediaries
in regional knowledge clusters. Particularly, a service approach ofinnovation strategy, namely, the intermediary platform, is used as
an analytical model to explain the business operation of
innovation intermediaries and their interaction with knowledge
clusters in regional innovation system. In this model, the concepts
of industrial environment and technological system were adopted
to represent the building blocks of knowledge cluster. Accordingly,
the correlation between the firm-level operational resources ofinnovation intermediaries and industrial environment as well as
technological system, would be constructed to discuss thenecessary support of sectoral innovation system for fostering thedevelopment of innovation intermediaries .The result reveals thatthe regional innovation intermediaries could integrate their value
activities and externalities effectively with the support of specificindustrial environment and technological system, thereby
facilitating the knowledge spillover and creating the regional
knowledge capabilities in the sectoral innovation system.
An Approach to Numerical Modeling and Simulation of
Cellular Foam Sandwich Structures in Commercial FE-Softwares
Joerg Feldhusen1, Sirichai Torsakul2, Alexander Brezing1, Sivakumara
Kannappan Krishnamoorthy1
1RWTH Aachen University of Technology, Germany
2Rajamangala University of Technology, Thailand

The difficulty in modeling and simulation of sandwich materials
lies in its intrinsic anisotropy; non-homogeneity and choosing
appropriate assumptions that allow proper joining of face sheetswith the core material. The accuracy of simulation results depends
on the modeling assumptions and capabilities which may varyfrom software to software. This paper describes the methods andstrategies for 3D-modeling and simulation of sandwich beams
using commercial FEM-Systems (ANSYS 10, ABAQUS 6 and
ALGOR V18) and its interface with CAD-systems. The evaluationof the commercial FEM-Systems was carried out using the socalled Use-Value Analysis suggested in Pahl/Beitz [1]. This could
help a design engineer to choose appropriate software forsandwich design. The four-point bending test is performed inorder to determine the load-deflection behaviour of a sandwich
beam under static loading. The FEM results are compared withthe results of experiments and the theoretical predictions. Results
obtained by using the FEM have shown excellent agreement withthe results of experiments and the theoretical predictions.
Key Factors of an Innovative Organization to Adapt to Changing
Global Management
Te-Jeng Chang1, Pi-Shan Hsu2, Chien-Pen Chuang1, Wen-Shion Chang3
1National Taiwan Normal University, Taiwan
2Ching Kuo Institute of Management and Health, Taiwan
3Jinwen University of Science and Technology, Taiwan

A top priority of global management is to manage change, which
requires establishing an innovative organization to be responsive
to change. Traditional and matrix organizations lack an effective
horizontal structure to construct core elements required fororganizational learning. An innovative organization is required to
implement those core elements such as self-actualization,
self-development, social acceptation, shared vision andtransformational leadership. Managerial innovation is achieved byincorporating organizational learning within the innovative
organization. The alignment of the core elements required fororganizational learning with the key factors of an innovative
organization enables an environment inspiring individuals’
passion and initiative to manage change. Factors critical to thesuccessful deployment of an innovative organization arepresented in this study in terms of volunteer assignment,
multi-task competence, autonomous community, employee
entrusted authority, floating authorization and peer-groupdecision making.
Research On Object Oriented Information Modeling In
Manufacturing Planning for CAPP
Faping Zhang1, Yanqiu Xiao1, JingChang Shangguan1, Houfang Sun1, Shahid
I. Butt2
1Beijing Institute of Technology, China
2National University of Sciences and Technology, Pakistan

Information modeling for tiered activities in CAPP is studied forthe generation of manufacturing plan. Based on the systematic
information modeling methodology, objects information activities
and their relationship in manufacturing planning (MP) have been
analyzed. The Object-oriented Systems Analysis (OSA) approachis used to describe the static and dynamic characteristics ofinformation involved in MP. Therefore, the correlative
relationships within the MP from part design to manufacturing
plan can be properly described. A tri-level decision-making
mechanism is employed to formulate the manufacturing planningmodel. So, the computer aided manufacturing planning (CAMP)
under certain manufacturing resources has been realized. Finally,a case study of manufacturing planning is presented to verify thefeasibility of the method

Selection of Optimum Maintenance Strategy for Power Plant
Equipment Based on Evidential Reasoning and FMEA
Yuliang Dong1, Yujiong Gu1, Xiao-feng Dong1
1North China Electric Power University, China

Aiming at the problem that it is difficult to select optimum
maintenance strategy for power plant equipment, a method basedon criticality evaluation and failure mode characteristic analysis is
put forward. In the method, the uncertainty and incompletion ofcriticality evaluation factors are completely considered, qualitativeand quantitative evidences are integrated and their acquisition
and transformation method is put forward based on constructing
criticality evaluation multiple-attribute decision tree. Then adecision tree criticality evaluation model is established, acorresponding evidential reasoning algorithm is deduced, and theequipment in power plant is ranked by criticality. Integrating theresults of criticality evaluation and failure mode and effectanalysis (FMEA), the decision model of selecting optimum
maintenance strategy of power plant equipment is established andapplied in a fossil-fired power station. It is shown by the instancethat this method is feasible and effective, can select optimum
maintenance strategy for power plant equipment.

Managin Logistics Flows Through Enterprise Input-Output
ModelsV. Albino1, Antonio Messeni Petruzzelli1, O. G. Okogbaa2
1Politecnico di Bari, Italy
2University of South Florida, United States

In the present paper, we propose the use of enterprise
input-output (EIO) models to describe and analyse the logistics
flows considering spatial and environmental effects associatedwith production processes. In particular, transportation ismodelled as a specific production process, both at an aggregate
and disaggregate level, then permitting to cope with moremanagerial or policy oriented problems. Moreover, the use of EIO
models can be useful to represent and analyse logistics services
markets, accounting and planning the demand and supply oftransportation.
Regional Economic Effect and Ideal Economic Scale of Tourism
Keiichi Iso1, Tsutomu Mishina1, Yoshiaki Shimazaki1, Takazumi Ishibashi1
1Akita Prefectural University, Japan

This study estimates the economic impact of local tourist spending
through its multiplier effect and develops a method to estimate
the ideal economic scale of local tourist industry. We conductedquarterly survey of tourist spending in Yuri, Akita during 2006.
Using survey data, we first estimate the actual scale of tourist
industry in Yuri, and find that it is approximately ¥20 billion.
Further, we identify an ideal tourist, who spends relatively morethan others, by regressing tourists expenditure on their various
attributes. Assuming that all visitors are ideal tourists, weestimate the “ideal scale” of the economic impact. The resultshows that the estimated ideal economic scale is about ¥40 billion,
which is approximately twice the actual scale. The developed
methodology is applicable to other region and will be useful forpolicymakers, who are interested in enhancing regional economy
through tourism.

63Session
Date
Time
Room
ChairsTechnology and Knowledge Management 4
12/10/2008
11:00 - 12:30
Venus 2Shin-Guang Chen, Hongyi Sun

Intellectual Capital and Firm Performance in Chinese Creative
Industry Firms
Ruyan Hong1, Xiaobo Wu2, Xinmin Peng3
1Zhejiang University, Hangzhou Normal University, China
2Zhejiang University, China
3Zhejiang University, Zhejiang Wanli Universiy, China

Most knowledge development efforts in intellectual capital andcreative industries have focused on Western economies andcompanies. This study develops and tests empirically a theoreticalmodel that focuses on how intellectual capital variables influencefirm performance in developing countries under the conditions ofknowledge economy. Based on the literature and in-depth
interviews, the authors developed 7 research hypotheses andexamined empirically these hypotheses using the data collectedfrom 168 Chinese creative industry firms by means of “on-site”
survey. The findings suggest that elements of intellectual capital
including human capital, structural capital, intellectual property
capital and relationship capital have almost positively direct
effects on firm performance. However, control variables including
external environment and firm size have negatively direct impacts
on firm performance.
The Relationship on Information Technology Capability and
Performance: An Empirical Research in the Context of China's
Yangtze River Delta Region
Hao Jiao1, I. C. Chang1, Y. Lu1
1Fudan University, China

Information technology (IT) capability plays an important role in
the rapidly changing environment. With the development of
information technology and wide adoption of Internet access andservices, the enterprise must build and enhance their information
technology capability. Through reviewing relevant literature andcase studies, we summarize the components of the information
technology capability. Specifically, we use empirical study toverify that information technology capability is comprised of four
dimensions, namely IT architecture and routine, IT infrastructure,human IT resource and IT relationship assets. Moreover, we
designated an index system of information technology capability.
Based on a large-scale questionnaire study, this paper examines
the IT capability’s contribution to enterprise performance based on
145 valid samples. The findings indicate that, IT capability is
positively associated with the firm’s performance. Among the IT
capability's contribution to performance; the effects of different
capabilities are different.
Performance Measurement System and Staff Perceptions ofLearning: Empirical Evidence from China
Xinwei Yuan1, JinRen Wang1, JingBing Yi2
1Xi'an University of Technology, China
2Xi'an Jiaotong University, China

With the survey data from the 112 firms examined in China, therelationship between performance measurement system (PMS)and staff perceptions of learning is validated by empirical study.
The result shows that those firms with higher maturity
performance management systems report better outcomes of staff
perceptions of learning. Concretely, PMS formalization has asignificant positive impact on staff perceptions about opportunity
to learn; PMS integration with other firm systems has a significant
positive impact on staff perceptions about motivation andcapability to learn; PMS utilization has a significant positive
impact on staff perceptions about motivation, opportunity andcapability to learn. The findings of the study show that a firm canfacilitate staff learning by improving PMS maturity.

64

Challenging Work as a Mediator of the Relationship Between
Time Pressure and Employee Creativity in R&D Organizations
Lien-An Hsu1, Hsueh-Liang Fan1
1National Chengchi University, Taiwan

This study examines the effects of time pressure on R&D
employees’ creativity as well as whether challenging work
mediates the positive relationship between time pressure andcreativity. Longitudinal data are collected from 187 R&D
employees at a national research institution in Taiwan across two
periods of time. Results of path analysis using structural equation
modeling indicate that time pressure retards employees creativity.
Furthermore, when people perceive time pressure and make thejob more challenging, there can be a positive relationship to
employee creativity. Implications and suggestions for researchersand practitioners are provided in the end of this paper.
Research on Uniform Product Development Model
JingChang Shangguan1, Yan Yan1, Houfang Sun1, Runhong Wang1, Liqun
Wang1, Haitao Liu2
1Beijing Institute of Technology, China
2Shandong Wuzheng Group Ltd. Co., China

To improve knowledge management and service levels, andachieve integration of software used in the whole productdevelopment process are research purposes here. Existing
problems in current researches of non-semantic and semantic
models are analyzed. Product development process itself, i.e.
origin of semantic information of product, is studied wholly as theresearch object. Through research on Design Methodology,
existence of Uniform Product Development Model (UPDM) andits value is proved to be true. Two points about significance of the
Ontology applied in engineering field is introduced, and adequate
cause in using Ontology to express UPDM is given. Framework of
UPDM, which includes two parts, i.e. Product Development
Ontology Model (PDOM) and Product Development Evaluation
Model (PDVM), is introduced in detail. PDOM and PDVM are
constructed by using some concrete theories of Design
Methodology and OWL (Web Ontology Language). This model
has been successfully used in knowledge integration in a research
institute.
The Evolution of Knowledge Network in Manufacturing Cluster:
A Case in China
Jingjing Guo1, Bin Guo1
1Zhejiang University, China

This article explores the evolution of knowledge network in
manufacturing cluster based on the change of different actors’roles in each evolution stage of cluster knowledge network. The
result shows that there are four types of firms in the knowledge
network, which are the leading producers, second best producers,niche producers and suppliers, and each type plays different roles
respectively at the start-up stage, formation stage, development
stage and maturity stage of knowledge network in the clusters.

Session
Date
Time
Room
ChairsTechnology and Knowledge Management 5
12/10/2008
13:30 - 15:00
Venus 2
Chui Young Yoon, Wim Vanhaverbeke

Does Technological Performance Gap Drive Product
Performance?: An Explorative Study of Personal Computer
GamingOzgur Dedehayir1, Saku Makinen1
1Tampere University of Technology, Finland

In this paper we firstly develop a means to measure thetechnological
performancedisparity
betweenevolving
technological sub-systems of the PC (personal computer) systemand subsequently employ this measure in the study of the GPU(graphics processing unit) and PC game sub-systems’ evolutions.
Secondly, the paper explores the connection between the observed
temporal behavior of technological performance gap and the
product performance of PC games, as measured by game ratings.
Our findings suggest that the level of technological performanceof the PC game sub-system trails that of the GPU sub-system
within the analyzed timeframe with growing technologicaldisparity. In addition, our exploratory study of the evolution oftechnological performance and its relationship with productperformance does not highlight a noteworthy connection,
implying that game developers are not assured of highperformance of their products despite being first to develop
products of higher technological performance.
Reach and Richness: Towards a Theory of Knowledge Sharing
Mechanism Selection
Lizi Jiang1, Kah-Hin Chai1, Wenting Liu1
1National University of Singapore, Singapore

The paper proposes a framework which links knowledge
mechanisms with the knowledge sharing process for better
intra-firm knowledge sharing. We view knowledge sharing as aprocess that comprises awareness and transfer. Knowledge
sharing mechanism determines in what forms the knowledge isrepresented and through what intermediate steps it flows fromone end to the other. Two dimensions, namely "Reach" and"Richness" characterize the nature of knowledge sharing
mechanisms. In this study, empirical evidence proves thatmechanisms used at stage awareness are more likely to have ahigh degree of "Reach" while mechanisms used at stage transfer
are more likely to have a high degree of "Richness". Additionally,
it is hypothesized that using a mechanism with high "Reach" ismore likely to be effective at stage awareness of knowledge
sharing while at stage transfer, use of mechanisms with high"Richness" creates higher efficacy. Survey results gathered
partially confirm the hypotheses.

Cluster Innovation Capabilities: Concept, Structure andEvolution
Jiang Wei1, Min-fei Zhou1
1Zhejiang University, China

Based on capability-based view and evolutionary theory, thispaper defines the connotation of cluster innovation capabilities(CIC), and constructs a conceptual model of CIC’s structure, which
involves both static/dynamic levels and contains five internal
dimensions. Besides, the basic logic of CIC evolution is alsopresented. As a result, a preliminary theoretic framework of CIC isconstructed based on the aforementioned works.
A Preliminary Study on the Current Status of New ProductDevelopment in Singapore
Han Tong Loh1, Jie Sun1, Wen Feng Lu1, L. S. Nyeow1
1National University of Singapore, Singapore

New Product Development (NPD) is important to sustain thecompetitiveness of a company in facing the strong market
competition. However, past studies on NPD in Singapore in year
2003 and 2004 revealed that only minority of the companies was
engaged in NPD. To support the effort of moving Singapore to bea design hub that is internationally recognized, this work presentsa preliminary study of the current status of NPD. A better insight
into the status of NPD will be useful for the relevant institutions
and companies in taking appropriate action to improve andencourage more NPD activities. By using a sample of 114
companies that responded to a survey conducted, this paper
examines NPD activities from different aspects. Comparisons withpast studies are made to provide a view on the changes in over theyears. The results show that only minority of the companies areengaging in NPD. Nevertheless, a comparison with past studies
suggests an increase in the level of sophistication of NPD
involved.
Modelling the Diffusion of Innovation Management Theory
using S-curves
Alan Pilkington1
1University of London, United Kingdom

This paper explores the suitability of using diffusion S-curves to
describe and compare the diffusion of citations within theinnovation management discipline. There is some debate as to
how to extend the existing measures of bibliometrics andmodelling instead of indexes is just one option being explored.
The ISI Citation data on the ten leading journals in the innovation
management field are modelled and compared using a wide rangeof distributions. The resulting grouping of journals appears to be auseful proxy for academic-practitioner involvement and warrants
further investigation. The finding that the three-parameter Inverse
Gaussian is the best fit to the data extends the understanding of
this process.

Agent-based Tool To Support Collaborative KMS In Software
Maintenance Process Environment
Mohd Zali Mohd Nor1, Rusli Abdullah1, Mohd Hasan Selamat1, Masitah
Ghazali1
1University Putra Malaysia, Malaysia

Software maintenance (SM) environment is highly complex,
knowledge-driven and collaborative. Therefore, knowledge
management system (KMS) is critical to provide an environment
for sharing and sustaining knowledge among members of SM
community of practice (CoP). One of the important but least
available knowledge required by maintainers is the Domain
Business knowledge and the relations to the application SM
process knowledge. Several KM retrieval tools are compared to
identify the areas that still requires human experts and a new tool
based on an extended SM ontology and multi-agent system (MAS)is proposed to assist CoP members to get the right knowledge at
the right time65

Session
Date
Time
Room
ChairsTechnology and Knowledge Management 6
12/10/2008
15:30 - 17:30
Venus 2
Sheng-shyr Cheng, Jie Sun

Matching Niche Strategy and Technology Capability of
Latecomer Firms: A Case Study
Guoqing Yan1, Xinmin Peng2, Ruyan Hong3, Haibo Zhang1
1Zhejiang Wanli University, China
2Zhejiang University, Zhejiang Wanli Universiy, China
3Zhejiang University, Hangzhou Normal University, China

The dynamic matching mechanism between different niche
strategy and technological capability is explored from theevolving perspective from the case of CHINT Group, which is a
firm in China. The niche strategy can be categorized two kinds ofproduct niche and process niche according to the different
competitive position. The technological capability can be divided
into duplicative imitation, creative imitation, and endogenous
innovation in terms of evolving process. Finally, this paper
propose that the latecomer firm’s niche strategy should be process
niche dominated, process and product niche coordinated andproduct dominated in turn according to the three development
stages of technological capability.
The Application of Tools and Techniques in a Unified Service
Design Theory
Qi Zhou1, Kay Chuan Tan1
1National University of Singapore, Singapore

This research focuses on the execution-oriented back end of newservice development. It reviews extensively existing theories ofservice design and the tools and techniques used at the design
stage. Based on a review of several well-known service-research
academicians, this research unifies the state-of-the-art thinking onservice design by proposing three tracks of activities. To make thedesign process more effective and efficient, we also classify thetools and techniques identified in the literature according to thethree tracks.
Design of Event Driven Digital Right Management by Using
Theory of Inventive Problem Solving
Song-Kyoo Kim1
1Samsung Electronics Co., Ltd, South Korea

This paper deals with the practical approach of technology
enhancement in mobile industry by using technology innovation
tools. TRIZ (Teoriya Resheniya Izobretatelskikh Zadatch) that is
also called TIPS (Theory of Inventive Problem Solving) is amethodology and model-based technology for generating
innovative ideas and solutions for problem solving. In addition, it
is also most practical technology innovation tool that have beenoriginally designed by Genrich Altshuller. In the other hand,
Digital Right Management (DRM) is considered as the target of
applying the TRIZ for technology enhancement because DRM is
one of most critical features in the mobile industries. DRM is theaccess control technology to be used by issuers and othercopyright holders to limit usage of digital media or devices. Event
driven Digital Right Management is the new DRM technology thathas been designed by using TRIZ method. Unlike general rightobjects, event driven DRM controls the right object based on
events. TRIZ methodology is applied for mobile technology
enhancement in this paper.

66

Customers' Knowledge and Personal Attributes in Promoting
Demand for Wood Pellet Heating Technologies
Aija Tapaninen1, Marko Seppänen1
1Tampere University of Technology, Finland

Billions of Euros are spent developing a range of green
technologies, including bio heating technologies, as part of a push
into the renewable energy market. One technological alternative
for an innovative domestic household is wood pellet heating
system. Diffusion of wood pellet heating has been studied
previously but only limited attention has been given to customer
knowledge and personal attributes influencing adoption decisions.
Hence, the purpose of this paper is to examine knowledge of thisbio-fuel technology and the impact of the personal attributes andperceived knowledge of the innovation on its adoption in Finland.
The results support existing theoretical models and provide
evidence of significance of customer knowledge and personal
attributes in demand creation. Finally, the managerial implicationsof the results are discussed.
Absorptive Capacity Moderates the Relationship between
Knowledge Sharing Capability and Innovation Capability
Luciana Andrawina1, Rajesri Govindaraju1, TMA Ari Samadhi1, Iman
Sudirman1
1Bandung Institute of Technology, Indonesia

The research investigates the relationships between knowledge
sharing capability, absorptive capacity, and innovation capability.
We used statistical hypotheses and Structural Equation Modelingto study these relationships based on the data sampled from 114
companies of
information and communication technology
industry in Indonesia including telecommunication service
provider, support service provider, network vendors, andconsumer devices vendors. Four hypotheses will be tested in thisstudy, to find out whether absorptive capacity is the intervening
variable between knowledge sharing capability and innovation
capability. The result shows that knowledge sharing capability has
a significant influence to potential absorptive capacity. Whilerealized absorptive capacity is significantly influenced bypotential absorptive capacity.
Total Innovation Management competence and innovation
performance in SMEs -An Empirical Study Based on SME
Survey in Zhejiang Province
Qingrui Xu1, Jin Chen1, Litian Chen1, Lu Jin1, Dong Lou1
1Zhejiang University, China

Total innovation management (TIM), innovation competence andperformance in SMEs are discussed in this paper. After brief
introduction of TIM, this paper analyzes the key innovation
management capabilities including strategy innovation capability,
technological innovation capability, and marketing innovation
capability, etc, which influence firm’s performance greatly. Basedon over more than 200 SMEs survey in Zhejiang Province and 2case study, this paper shows that the innovation performance in
SMEs is affected by Total Innovation Management competence.
Then relevant policies and recommendations are presented.
Understanding the Advantages of Open Innovation Practices in
Corporate
Wim Vanhaverbeke1, Vareska Van de Vrande2
1Hasselt University, Belgium
2Erasmus University, Netherlands

Part of the advantages of using an open innovation (compared toclosed innovation) in corporate venturing can be explained byapplying the real options approach. Open innovation in risk-laden
activities such as corporate venturing has the following
advantages: i. benefits from early involvement in newtechnologies or business opportunities, ii. delayed financial
commitment, iii. early exits reducing the downward losses, and iv.
delayed exit in case it spins off a venture. We furthermore argue
that these benefits do not automatically materialize. Innovation
firms have to learn new skills and routines to develop the full ‘real
option’-potential of open innovation practices.

Session
Date
Time
Room
Chairs

Decision Analysis and Methods 4
12/10/2008
11:00 - 12:30
Jupiter 1
Abbas Toloie Eshlaghy, Min Wang

Rank Reversal in the PROMETHEE II Method: Some New
Results
Bertrand Mareschal1, Yves De Smet1, Philippe Nemery1
1Université Libre de Bruxelles, Belgium

The aim of this paper is to study properties of multicriteria
decision-aid ranking methods based on pairwise comparisons inregards to rank reversals. At first we introduce the notion ofpair-wise rank reversal and we show that this notion is equivalent
to rank reversal. Then we analyze more particularly the
PROMETHEE II method and we clarify conditions under which
the PROMETHEE II ranking might suffer from rank reversal
problems. Finally, we prove that the PROMETHEE multicriteria
net flow is the centered score that minimizes the sum of thesquared deviations from the pair-wise comparisons of thealternatives.
A Decision Making Approach Based on Fuzzy Regression andFuzzy Multiple Objective Programming for Advanced
Manufacturing Technology Selection
Zeynep Sener1, E. Ertugrul Karsak1
1Galatasaray University, Turkey

The use of advanced manufacturing technologies provides a great
potential for improving manufacturing performance to compete in
the global markets. This paper proposes a decision model basedon fuzzy linear regression and fuzzy multiple objective
programming for advanced manufacturing technology selection.
Fuzzy regression is introduced in the model to assess thevagueness of functional relationships among decision variables
and to account for inexact data. A flexible manufacturing systemselection problem is presented to illustrate the application of the
proposed decision methodology.
Newsvendor Problems with Interval Probabilities
Peijun Guo1, Hideo Tanaka2
1Yokohama National University, Japan
2Hiroshima International University, Japan

In this paper, the uncertainty of the demand in newsvendor
problems is characterized by interval probabilities. The
characteristics of interval probabilities, the method for estimatinginterval probabilities from subject and decision criteria withinterval probabilities are addressed. The newsvendor models
under interval probabilities are proposed for obtaining the
optimal order quantity.

A Group Decision Making Procedure for Fuzzy Interactive
Linear Assignment Programming
Mahdi Bashiri1, Hossein Badri1
1Shahed University, IranThis Paper presents a new Decision Making tool when thedecision data are not crisp data and the decision maker(s) want(s)to rank the alternatives during an interactive process. In this paper
we propose an interactive method which uses qualitative data tocalculate weights of criteria and rank the selected alternatives.
Because of existence of linguistic terms in the decision matrix andthe weight of each criterion, which can be expressed in trapezoidal
fuzzy numbers, an Interactive Method is proposed for ranking ofeach alternative with proper weight for each criterion. By using
the method, decision makers can provide and modify theirpreference information gradually within the process of decision
making so as to make the decision result more reasonable. Finallya numerical example illustrates the proposed method.
Conceptual Design for Peristaltic Pump Based on TRIZ
Wei Liu1, Xuan Liu1, Runhua Tan1, Guozhong Cao1
1Hebei University of Technology, China

Based on the research of relevant patents of peristaltic pump,several common problems and corresponding solutions inperistaltic pump design have been concluded. Furthermore weanalyzed the patents with TRIZ, found out the stage of technology
maturity of peristaltic pump and the lines of technological systemevolution, then a clear design direction was showed up, theconceptual design has been made.
A Mean-Semivariance Model for Stock Portfolio Selection in
Fuzzy Random Environment
Zhe Zhang1, Jiuping Xu1
1Sichuan University, China

This paper discusses stock portfolio selection problem in fuzzy
random environment. In the paper, the returns of each security are
assumed to be fuzzy random variables, then following the ideas ofmean-semivariance model in a fuzzy random environment is
proposed. Based on the concept of semivariance of fuzzy
random variable, a mean-semivariance model in is proposed. To
solve the new model in general cases, a fuzzy random simulation
based genetic algorithm is presented in the paper. Inaddition, anumerical example is presented to illustrate the proposed stock
portfolio selection model and the effectiveness of the designed
algorithm.

67

Session
Date
Time
Room
Chairs

Decision Analysis and Methods 5
12/10/2008
13:30 - 15:00
Jupiter 1
Yves De Smet, Vahid Ebrahimipour

Building an Effective ERP Selection System for the Technology
Industry
Jia-Jane Shuai1, C. Y. Kao1
1Minghsin University of Science and Technology, Taiwan

This paper models and analyzes the factors of Enterprise Resource
Planning (ERP) system selection on the fast changing technology
industry. With growing pressures for collaborative information
systems partnerships, ERP system selection has been an important
activity for improving supply chains efficiency in technology
industries. However, ERP system selection is tedious and time
consuming, and the criteria used for ERP evaluation are numerous
and influence one another. In this paper, we explore the potentialof applying the Decision Making Trial and Evaluation Laboratory(DEMATEL) approach. The DEMATEL not only can convert therelations between cause and effect of criteria into a visual
structural model, but can also be used as a way to identify the key
factors. A case study is used to illustrate the application of the
proposed method.
R&D Project Portfolio Selection Model Analysis Within ProjectInterdependencies Context
Peng Guo1, Junjun Liang1, Yuming Zhu1, Junfei Hu1
1Northwestern Polytechnical University, China

The existing models of R&D project portfolio selection consideredrarely project interdependencies. This may make decision makers
select wrong projects for the project portfolio. In general, projectinterdependencies include outcome, resource and technicalinterdependency.
Consideringthree
categories
ofinterdependencies, a few researchers have developed a couple ofproject selection models which only determined one or two
interdependencies. The paper puts forward four categories ofproject interdependencies: outcome, resource, technical and riskinterdependency. A 0-1 nonlinear mathematic programming
method base R&D project portfolio selection model is proposed, inwhich four categories of interdependencies and otherconventional constraints are all considered. Finally, a numericalexample is given to illustrate that this model is feasible and rather
important for making the reasonable and right project portfolio
selection decision.

68

Applying Fuzzy Linguistic Variable and ELECTRE Method in
R&D Project Evaluation and Selection
Chen-Tung Chen1, W. Z. Hung1
1National United University, Taiwan
In general, R&D project evaluation and selection is a group
multi-criteria decision problem (GMCDM). There are many
quantitative and qualitative factors will influence the R&D
projects selection. A more realistic approach may be use linguistic
assessments instead of numerical values to solve the problems.
Therefore, decision-makers’ opinions are described by 2-tuple
linguistic variables which can be expressed in different types. In
this paper, a transformation method will be presented totransform the non-homogeneous linguistic information to a
standard linguistic term set. Then, a new decision method is
proposed by combining 2-tuple linguistic variables with ELECTRE
method to determine the ranking order of R&D projects.
Using Fuzzy DEMATEL to Develop a Causal and Effect Modelof Hot Spring Service Quality Expectation
Chih-Cheng Chen1, Ming-Lang Tseng1, Yuan-Hsu Lin1
1Ming-Dao University, Taiwan

The evaluation service quality expectation criteria are usually
evaluated in subjective and qualitative in nature described inlinguistic information, it is very difficult for the customer toexpress the preferences using exact numerical values. This
research applies a fuzzy DEMATEL method in linguistic
information for group decision-making to gather group ideas andanalyze the cause–effect relationship of complex social scienceproblems in fuzziness environments. The detailed of the fuzzy
DEMATEL in linguistic information procedures are presented. An
empirical study with 265 respondents applies the fuzzy
DEMATEL in linguistic information method to the evaluation of a
hot spring hotel service quality perception in Taiwan. The results
are discussed.
Facility Location Problem for Reconfigurable Manufacturing
System with Multi-period Demand Changing
Donghwa Jeong1, Yoonho Seo1
1Korea University, South Korea

In this paper, we focus on a new facility location problem, where
the facility at each period can be reconfigured and closed or
opened according to customer demand changing. For solving thisproblem, a mixed integer programming is developed and is
programmed by Cplex 9.0. Instances are randomly generated toensure multiplicity of experiment. To analysis the proposed model,
experiments are performed with modification of the length ofperiods, number of objects, cost structure and customer demand,and results are analyzed.

Session
Date
Time
Room
Chairs

Project Management 1
12/10/2008
15:30 - 17:30
Jupiter 1
C.K. Kwong, Michael Ogembo Kachienga

Risk Control and Implementation Planning in IS Project
Jian Zhang1, Suling Jia1, Wenting Liu2, Qiang Wang1
1Beijing University of Aeronautics and Astronautics, China
2National University of Singapore, Singapore

The cost and benefit of information system project are uncertain
which brings high risk. Therefore, in order to carry out projectplanning under the pre-condition of controlling risk, it isimportant to identify the risk features of IS project. As a first step
towards that goal, this article discusses the stochastic variations ofcost and benefit of IS project and elaborates the mathematicaldescription of them. Additionally, the risk-control model of IS
project under uncertainty is built by applying dynamic
programming. Finally, a project planning method considering
appropriate risk-control with the time and cost limitation is
proposed using integer programming method, whose feasibility
and efficiency are validated by case study.
Managing Projects in Global Manufacturing Networks
Egon Mueller1, Ralph Riedel1, Marc Simon1
1Chemnitz University of Technology, Germany

In this paper the common standards of project management are
discussed in the context of global manufacturing. In global
manufacturing networks play a decisive role because the several
activities of the value chain are distributed globally due to market,
supply or cost issues. An extensive literature research shows that
there is a need for incorporating human factors, especially cultural
aspects, in the methodology for planning and control ininternational projects. Based on these theses some approaches aredeveloped for the stronger consideration of culture in project
management standards. The paper presents a completely newview on project management which will lead to a better
understanding of intercultural projects and to an increase in the
success rate of such projects.
The Effects of the Debt Financing Restriction in a Real Options
Model
Michi Nishihara1, Takashi Shibata2
1Osaka University, Japan
2Tokyo Metropolitan University, Japan

This paper derives the firm value and the investment strategy
investment timing, debt financing, leverage, and endogenousdefault) when an entrepreneur makes a real investment with debt
financing both in monopoly and in duopoly. In particular, weclarify the effects of the entrepreneur’s financial constraint where apart of the investment cost must be financed by debt. The leverageand the credit spread of the constrained entrepreneur are higher
than those of the unconstrained one. The investment timing of theconstrained entrepreneur is later, which is consistent with thestandard underinvestment theory. The financial restriction binds
more tightly in duopoly than in monopoly. Surprisingly, however,in duopoly the financial constraint plays a role in moderating thepreemptive competition and improving the firm value inequilibrium.
An Integrative Approach to Project Management in a Small
Team Developing a Complex ProductRonald Beckett1
1University of Western Sydney, Australia

This paper describes an approach to the management of acomplex product/system development built around aninterpretation of an ISO 9000 Quality Management System. One
factor in making this choice was the orientation of the teamtowards excellence; others were the structure provided and thecompatibility of the embodied Plan-Do-Check-Act cycle with theiterative developmental nature of the project. Some comparison ismade with agile management ideas, and some knowledge
management aspects of the project are discussed. It is noted that inthis environment both people and structures are important, withtraditional task management practices making a lesser
contribution.

Exploring Impacts of Software Development Process Maturityon Project Risk
Chun-Hui Wu1
1National Formosa University, National Yunlin University of Science &Technology, Taiwan

The failure of IS projects is a common occurrence in manyorganizations around the world. One explanation for the highfailure rate is that managers are not taking prudent measure tounderstand and manage the risks associated with IS projects. As
organizations continue to invest substantial resources and efforts
on IS projects, controlling the risks involved in such projects inorder to increase their performance becomes critical. The
Capability Maturity Model (CMM) is taken as a reference model
for improving software development process maturity. Our study
examined the impacts of software development process maturity
level on project risk. A survey was conducted to the corporate IS
managers and professionals in Taiwan. The results found that themore mature project's software development process should
reduce project risk level.
A Fuzzy BOT Project Risk Evaluation Model in Iranian Power
Plant Industry
Sadoullah Ebrahimnejad1, S. M. Mousavi2, S. M. H. Mojtahedi2
1Islamic Azad University Karaj Branch, Iran
2Islamic Azad University South Tehran Branch, Iran

Nowadays the most common approaches for project financing iscalled BOT (Build - Operate - Transfer). One of the most practicalfinancing infrastructure by private capital, in which governmental
strategic control is preserved. In spite of this advantage, BOT
projects may be so riskful for private and public sectors. Therefore,risk identification and management is so important in BOT
projects. In this paper, at first we identify some of the mostimportant risks in BOT power plant projects; then we use someeffective criteria and attributes assigned for risk evaluating in BOTapproach. Afterwards the problem is defined via fuzzy Multi
Attribute Decision Making (MADM) method. Therefore, a fuzzy
LINMAP method is presented to evaluate the risk in BOT projects.
Finally, a case study is used to illustrate the procedure of the
proposed model at the end of paper.
Telecommunications Project Management – A Holistic
Approach for Operations-Related Services
Thomas Frisanco1, Norbert Anglberger2, Rachel Ang3, Stephen Onu4
1Detecon International, Germany
2Siemens AG, Germany
3Ernst & Young, Germany
4Booz Allen Hamilton, United States

Telecommunications industry is undergoing a rigorous paradigm
shift and value migration from equipment sales towards
operations related services, providing long-term, ongoing
operations rather than one-time deployment and commissioning.
With project complexity and lifetime constantly increasing, thenature of contracting and vendor-operator partnership changes.
Research explores the degree to which executive sponsors’ roleand influence in the planning phase of the service project
management lifecycle contribute to project performance.
Organizations are embracing concepts of formal project
management as a critical element of their organizational structure
to increase efficiency, adopting dedicated service project
management concepts to improve customer relationship andreduce non-conformance costs, and integrating the concept of the“implementation-oriented sales process”, which provides a better
basis for closing long-term, stable and profitable operations
services transactions. In this paper, we propose a holistic approachto operations project management with the goal to reduce
economic losses, improve resource allocations, and advanceorganizational learning.

69

A Feed-Back Model of Control Chart for Supplier
Session
Date
Time
Room
ChairsSupply Chain Management 1
12/10/2008
11:00 - 12:30
Jupiter 2
Flavio Fogliatto, Thomas Frisanco

Development of a Methodology to Improve the Source Process
Felix Wriggers1, Philip Fronia1, Sebastian Beck1, Peter Nyhuis1
1Leibniz University Hannover, Germany

Companies have to satisfy a multitude of needs to thrive. Ensuingconflicts between targets have to be resolved in order to maximize
the companies’ market value, the decision field being of highcomplexity. On a regular basis decision makers have therefore toanswer questions regarding the companies’ performance incomparison to competitors and have to identify the part of theircompany in which strategic measures will exhibit the greatest
impact on market value. Another strategic decision is to determine
the measures to be implemented and how these will affect theircompanies’ market value. Some methods existing today offer
useful input to resolve this decision problem or at least parts
thereof. Nevertheless several consulting projects for German
companies completed by the authors ascertained demand for aneasy to use decision support system which targets thisoptimization problem. This paper describes an easy to use
decision support system for sourcing, which was successfully
applied to resolve this problem, using an adaptation of SCOR as abasis. Ongoing research work to enhance this tool is described.
Analysis of an Inventory Model in Subscription-Based Rental
Service with Two-Classes of Customers
Aussadavut Dumrongsiri1, Apurva Jain2, Kamran Moinzadeh2
1Sirindhorn International Institute of Technology, Thammasat University,
Thailand
2University of Washington, United States

The paper offers a model and analysis of the rental process at a
subscription-based business like Netflix. We analyze a priority
scheduling scheme, currently in use, that gives priority to light
renters over heavy renters and show that, in some situations, it
may be more profitable for the firm to give priority to heavy
renters. The optimal initial inventory decision is found for a
simplified cases. Extensions are briefly discussed.
Inventory Management Performance in Indian Machine Tool
SMEs: What Factors Do Influence Them?
N. Rajeev1
1Indian Institute of Science, India

These instructions give you basic guidelines for preparing papers
for the IEEM 2008 Proceedings. Inventory Management (IM)plays a decisive role in the enhancement of efficiency for
manufacturing enterprise competitiveness. Therefore, major
manufacturing industries are following inventory management
practices as a strategy to improve efficiency and achieve
competitiveness. However, the spread of inventory management
culture among Small and Medium Enterprises (SMEs) is limited
due to lack of initiation, expertise and financial limitations indeveloped countries, leave alone developing countries. With thisbackdrop, this paper makes an attempt to ascertain the factors
which influence the IM performance of SMEs in the machine tools
industry of Bangalore, India. This issue is probed based on
primary data gathered from 91 SMEs. The paper brings out that
two sets of factors namely organizational support and externalpressure have a positive impact on the inventory performance of
SMEs.

70

Jing Sun1, M. Matsui1
1The University of Electro-Communications, Japan

In the supply chain system, prompt response of supplier to thefeed-back trouble from the maker is important, and has become akey point of the supplier competitive edge. In the setting of thedue time of the treatment to the various assignable causes,
because idle cost and delay cost are the trade-off relation, setting
the optimal due date becomes an important problem to the
supplier. On the other hand, recently, to improve supplier quality,
there has been an increased interest in IT (information technology)
control charts which are used to monitor online production
processes. To resolve the above problem, in this paper, first, a feedback model of control chart is proposed for supplier. Then, thecost elements of the feed-back case are analyzed and themathematical formulations which correspond to the case areshown. Finally, to clarify the trade-off relation, the behaviors ofidle and delay costs are studied. In addition, the setting of the
optimal due time is discussed in detail.
Optimal Retail Shelf Space Allocation with Dynamic
Programming using Bounds
Hasmukh Gajjar1, Gajendra Adil1
1Indian Institute of Technology-Bombay, India

Efficient shelf space allocation increases profitability of a retailstore and thus provides competitive advantage to the retailer.
Several shelf space allocation models exist in literature. However,these models are generally solved using heuristic approaches due
to NP-hard nature and there is a need to develop exact methods.
In this paper, we present a non-linear shelf-space allocation model(NLSSAM) and optimally solve it with a new dynamic
programming (NDP) using bounds which fathoms unpromisingstates. It is found from experimental studies that NDP using
bound was much more efficient to solve large problems ascompared to original dynamic programming (ODP) without using
bound. ODP could not solve all problem instances of problem
sizes (number of products, n = 30 and 40) within specified CPU
time limit of 400 seconds while NDP could solved problem
instances of size (n = 200) with average CPU time of 7.89 seconds.
Part Based Decentralized Information Handling for Process
Improvements along the Supply Chain
Matthias Schmidt1, Wiebke Hartmann1, Peter Nyhuis1
1Leibniz University Hannover, Germany“Gentelligence®” is a neologism which consists of the two words“genetic” and “intelligent”. Gentelligent® Parts are basicallycomponents which are able to save information. The special andspecific property is that they have both the ability to save andstore information and to handing it over to the next component
generation. Lifecycle information is saved in a continuous process.
Due to these characteristics, Gentelligent® Parts can serve as adecentralized Enterprise Information System (EIS). As a result, it ispossible to identify extensive potential for improving logistic andtechnical processes arising along the product evolutionary process
and during the usage phase. This article provides insight into boththe principle of Gentelligent® Parts as well as the corresponding
data structure and targeted process improvements.

Carbon Market Sensitive Green Supply Chain Network Design
Session
Date
Time
Room
ChairsSupply Chain Management 2
12/10/2008
13:30 - 15:00
Jupiter 2
Alireza Haji, Ana Paula Barroso

Lead Time and Inventory Decisions in a Push-and-Pull System
He Xu1, Xiang Zhu2, Liming Liu3
1Huazhong University of Science and Technology University, China
2Hong Kong University of Science and Technology, Hong Kong
3Hong Kong Polytechnic University, Hong Kong

This paper studies the design and control issues of a two-stage
push-and-pull system with lead-time quotation and stock
decisions. To evaluate the performance of different designs of thesystem, we construct a decision model to minimize holding costsof the semi-finished product and the finished product, the latedelivery cost, and customer waiting cost by optimizing base-stocklevel of the semi-finished product and the quoted lead time. By
using a constant service time at the push stage as a benchmark, we
provide explicit formulas and accurate heuristics to compute andapproximate the optimal solutions for various system settings.
Moreover, we demonstrate the impact of the uncertainty of thepush stage on the system design.
Channel Coordination under Price Protection
Zhe Zhang1
1Fudan University, China

In current market competition companies face with short productlife cycle, high demand uncertainty and drastic declines of
product values. This study analyses the price protection policy inchannel coordination and proposes a two-period dynamic modelof optimal price protection rate based on the single ordering. The
result shows that, through setting reasonable the wholesale priceand the price protection rate, optimal order quantity by theretailer can be achieved. Furthermore, The policy optimizes thetotal benefit of channel alliance to obtain the win-win pattern, andfinally realize channel coordination.
Dual Sourcing Strategy in Mass Customized Manufacturing
Kristianto Nugroho Yohanes1
1University of Vaasa, FinlandThis paper studies dual sourcing strategy in mass customized
manufacturing for two differentiable products. The supplier’s
collaboration is represented by two stages game to optimize priceand capacity decision and the buyer-suppliers collaboration isrepresented by joining the profit optimization. In order to mitigate
the demand uncertainty effect, the long term decision is taken into
consideration. The results show that it is possible to the suppliers
to involve at higher level of cooperation by considering rewards
and punishment from the buyer, which means it is possible toapply outsourcing to strategic items. The final part of the paper
concludes the results and outlines future research directions.

Amar Ramudhin1, Amin Chaabane1, Mourad Kharoune1, Marc Paquet1
1École de Technologie Supérieure, CanadaThis paper introduces a mixed integer mathematical model
formulation for the “Carbon-Market Sensitive - Green Supply
Chain Network Design” problem (CMS/GSCND) where carbon
trading considerations are integrated within the supply chain
network design phase. The solution methodology allows theevaluation of different strategic decisions alternatives, such as
supplier and subcontractor selection, product allocation, capacity
utilization, and transportation configuration, and their impact interms of carbon footprint. This new formulation provides decision
makers with the ability to understand the trade-offs between totallogistics costs and the impact of greenhouse gases reduction. It
also allows offsetting the latter through both supply chain
reengineering and carbon trading. Model validation, results, andextended analysis are demonstrated via a numerical study.
A Model to Quantify the Bullwhip Effect in Systems with
Stochastic Demand and Lead TimeJose Carlos Fioriolli1, Flavio Fogliatto1
1Federal University of Rio Grande do Sul, Brazil

The increase in demand variability as information flows from
customers to manufacturers in a supply chain is known as the
Bullwhip Effect (BE). Modeling this phenomenon is key inmeasuring its intensity, aiming at reducing its negative impact on
both service and inventory levels in supply chains. This paper
proposes a new, more precise mathematical model for quantifying
the BE in systems with stochastic demand and lead time. The newmodel takes into account the lead time variability. In addition, themodel allows a more precise assessment of the role that thedemand’s coefficient of variation plays when quantifying the BE.
The use of the proposed model may enable an improved
management of the supply chain by attenuating the propagationof the BE.
Impact of Channel Power in the Supply Chain Context Empirical Study on Taiwan Apparel Industry

An

Chang-Hsien Hsu1, Yung-Hsin Chen1, Shuo-Chang Tsai1, Chi-Yuan Chen1
1Asia University, Taiwan

To pursue the optimal operations performance and profitability of
their own, channel members in a supply chain tend to manipulate
the channel power to serve the purpose. It inevitably evokes the
problems of channel conflict and leverage situation within the
supply chain power regime. We employ French and Raven’s
approach on power sources along with Gaski’s power and conflict
theory and Howell’s model to construct the hypotheses and allow
the method of structure equation modeling (SEM) for pathanalysis. The objective is to explore how different power sourcesinterwoven with economic or non- economic impact willinterrelate to the channel power and downstream members’satisfaction in the Taiwan apparel industry. The outcome of thisstudy provides an insight into how channel members take theadvantage of channel power in favor of their operations
performance.

71Session
Date
Time
Room
ChairsSupply Chain Management 3
12/10/2008
15:30 - 17:30
Jupiter 2
Yung-Hsin Chen, Sun Jing

A Multi-Agent Based Combinational Auction Model For
Collaborative e-Procurement
Shanshan Wang1, Heqing Song1
1Zhejiang Gongshang University, China

Collaborative e-procurement has been considered as a vital link inmany world-class supply chain strategies. Most of the previous related
studies just covered the purchasing of distinct items. However, eachbuyer may have the purchase needs for multiple heterogeneous items
at the same time. Therefore, in this research, we address a multi-agent
based combinatorial auction model for collaborative e-procurement as
a new business model that combines the strength of the combinational
auction and the benefits of collaborative e-procurement. A
representative
combinatorial
auctionbased
collaborative
e-procurement (CACP) process is presented, then, the systemarchitecture and optimized bid selection modeling for CACP aredescribed. Finally we show the viability of CACP throughproof-of-concept prototype experiment results.

Fuzzy Logic Supply Chain Agility Assessment Methodology
Nazanin Pilevari1, S. M. Seyed Hosseini1, Javad Jassbi1
1Islamic Azad University Science & Research Branch, IranSupply Chain Agility Assessment has been considered as a number
one issue in world class manufacturing research study. The
environmental issue as well as speed, verity, flexibility and integrationin production line come along with customer relationship and masscustomization concept should come to light in today's research study.
To achieve the competitive edge, companies must align with suppliersand customers to streamline operations, as well as agility characteristic
beyond individual companies. Consequently agile supply chain (ASC)is considered as a dominant competitive advantage, however so far alittle effort has been taken to build ASC assessment methodology inrecent years. Therefore, due to ambiguity of agility assessment, weconstruct a fuzzy rule based system, considering agility capabilities
such as Responsiveness, competency, flexibility and Quickness toevaluate agility in supply chains. This evaluation helps managers to
perform gap analysis between existence agility level and the desired
one.

TOPSIS for Solving Multi-Objective Multi-Product Supplier
Selection Problem under Price Breaks
Omid Jadidi1, Sai Hong Tang1, Fatemeh Firouzi1, Yusof Ismail1
1University Putra Malaysia, Malaysia

Supplier selection is a multi-criteria decision-making problem (MCDM)
that is affected by quantitative and qualitative criteria. In these
problems if buyer wants to buy multiple products and also suppliers
offer quantity discounts, this problem becomes more complicated. To
solve the problem, an integration of Technique for Order Preference by
Similarity to Ideal Solution (TOPSIS) and multi-objective mixed integer
linear programming (MOMILP) is used to consider both tangible andintangible factors in choosing the best suppliers and define theoptimum quantities among selected suppliers. The problem includes
the three objective functions: to maximize the total value of purchasing(TVP), and to minimize the total cost and total defect rate, whilesatisfying capacity and demand requirement constraints. In order tosolve the multi-objective problem, TOPSIS and further a single
objective function are used to consider the relative importance of thethree goals.

A Special Discount Strategy for Supplier Selection and Order
Allocation
Omid Jadidi1, Sai Hong Tang1, Fatemeh Firouzi1, Rosnah Binti Mohd. Yusuff1,
Yusof Ismail1
1University Putra Malaysia, Malaysia

In this paper, we consider a special discount where special products’
sales volume affects the prices and discounts of the other products. In
this circumstance, that the buyer wants to buy multi-product and also
suppliers offer the special discount, the problem becomes more
complicated. To solve the problem, multi-objective mixed integer
linear programming (MOMILP) is used to define the optimum
quantities among selected suppliers. The problem includes the threeobjective functions: to minimize the inverse total value of purchasing(TVP), and to minimize the total cost and total defect rate, whilesatisfying capacity and demand requirement constraints. In order tosolve the problem, a single objective function is proposed to consider
relative importance of the goals. A numerical example is given toillustrate how the model is applied.

72

Green Supply Chain: How Does It Affect Current Supply Chain
Practice?
Qing Lu1, Wenkai Li1, Balan Sundarakani1, Shun Cai1, Robert De Souza1,
Mark Goh1
1The Logistics Institute-Asia Pacific, National University of Singapore, Singapore

With the growing awareness of human activity on global climatechange, the pricing of carbon emissions would inevitably become
reality in Asia as it is in Europe. This paper critically analyzes thepossible environmental challenges on supply chain management at thestrategic level and the possible paradigm shift. We investigate how
environmental factors such as carbon emission affect the supply chainarchitecture and change its landscape. We predict that green supply
chain would bring a paradigm shift in supply chain management.
Higher level of horizontal integration is expected to see amongsuppliers, manufacturers and logistics service providers, andgeographically the supply chain would start to contract after theruthless expansion in past two decades. These predictions would help
manufacturers, suppliers, and logistics service providers adjust their
supply chain strategies in this shift.

A Study of Markdown Policy in Aggregate Production Planning
Environment by Developing a APP-MP Model
William Chung1, Wenyun Zhu1
1City University of Hong Kong, Hong Kong

It is believed that the information sharing and cooperation between theretailer and the manufacturer become important now for improving
their performance. This paper is to study the significance of thecooperation between the markdown policy and the aggregate planningso as to simulate the cooperation between retailers and manufacturers
by a new model, Aggregate Production Planning-Markdown Pricing
Model (APP-MP) which is established by integrating the markdown
model into Aggregate Production Planning model. The APP-MP is anonlinear integer programming model which is able to help theretailer and the manufacturer simultaneously make the pricing
decisions, including the magnitude and time of markdown, andoperational decisions so that greater profits could be obtained. The
example solution shows that the cooperation definitely increases the
profits. This paper’s result also implies that, instead of holding thebelief “selling more and earning more”, the retailer could cooperatewith manufacturer to plan the production and earns more.

A Study for Optimizing the Reading rate of RFID Tagged
Cartons in Palletizing Process
Chiao Tzu Huang1, Li-Wen Lo1, Wei-Ling Wang1, Hsin-Lin Chen1
1National Chin-Yi University of Technology, Taiwan

In the advanced Supply Chain/Logistic system, RFID system adapts
the radio waves to scan and record the data received from RFID tags.
The RFID readers can be placed up to a few meters away from RFID
tagged objects.
According to the investigation conducted by
EPCglobal, the readers are still unable to achieve 100% reading rates,
and it means the Wal-Mart and its suppliers could not reach complete
reading rate in the process of commodity transaction. This study
adopts the Taguchi Method and selects major controllable factors, forexample distance, placement of RFID tag, and direction of RFID
antenna, all possible factors are adopted in this study. The results
show the reading rate of RFID system is mainly affected by relative
positions of RFID tags and RFID antenna. In the final, a standard
model will be initiated for RFID system, and this systematicarrangement would insure to optimize the reading rate of palletizing
process.

A Multi-Sourcing Model from a Cost Heterogeneous Supply
Base
Jishnu Hazra1
1Indian Institute of Management Bangalore, India

In this paper we analyze a scenario where a buyer procures capacityfrom one or more suppliers in the presence of demand uncertainty. The
buyer does not have information of suppliers’ production cost function
but assumes it is sampled from a known probability distribution. The
supplier, of course, has knowledge of its own cost function but like thebuyer does not have information on other suppliers’ cost function.
Under this scenario we explicitly derive suppliers’ capacity reservation
price, which is a function of their capacity, amount of capacity reservedby the buyer and other parameters. The buyer’s decisions are howmuch capacity to reserve and from how many suppliers. Under certain
conditions we develop solutions and show that the model is robust to
the number of suppliers from whom capacity is procured throughreservation. When the parameters of demand distribution changes the
supply base is likely to remain more or less the same.

Session
Date
Time
Room
ChairsFacilities Planning and Management
12/10/2008
11:00 - 12:30
Jupiter 3
Sydney Chu, Mahadev Talawar

Location Selection Based on AHP/ANP Approach
Chang-Lin Yang1, Shan-Ping Chuang2, Rong-Hwa Huang1, Chia-Chi Tai1
1Fu Jen Catholic University, Taiwan
2Huafan University, Taiwan

Facility location decisions are a key element in any company’s
overall strategic plan. The objectives include producing a productor providing a service at lower cost, at higher quality, or using theleast amount of resources. Many studies have proposed models,principles, and criteria to evaluate and select the best location.
This study proposes a AHP/ANP based measurement model forevaluating location characteristics in order to help managers torealize the advantages and disadvantages of potential location.
The analytical hierarchy process (AHP) and the analytical network
process (ANP) are utilized to determine the weight of eachcriterion when generating the selection model. Finally, this study
uses a data sample to verify the feasibility of the evaluation model.
Fuzzy Multi Criteria Decision Making Method for Temporary
Storage Design in Industrial Plants
Mojtaba Heydar1, Reza Tavakkoli-Moghaddam2, S. M. Mousavi1, S. M. H.
Mojtahedi1
1Islamic Azad University South Tehran Branch, Iran2University of Tehran, IranThe conventional approaches to temporary storage problem tend
to be less effective in dealing with the imprecise or vaguenessnature of the linguistic assessment. Under many situations, thevalues of qualitative criteria are often imprecisely defined for thedecision makers. The aim of the paper is to solve temporarystorage problems using MODM. In this paper, we use anapplicable solution for selecting a temporary storage location
among potential candidates' locations. There are two main steps inthis study; first, locations are considered as alternatives which
their weights are calculated by using fuzzy TOPSIS withconsidering flexible attributes. Then, in second steps, threeobjectives are defined as; 1) Maximizing alternatives weights
summations; 2) minimizing alternatives distances summations to
production departments; and 3) minimizing the quantity of
temporary storage. Furthermore, quantitative and qualitative
attributes are considered in this paper simultaneously. The
proposed MODM is solved by using a Goal Programming (GP)approach. Empirical results show that the proposed method is
viable approach in solving a temporary storage problem.
The Fragmented Warehouse: Location Assignment for Unit-load
Picking
Stephen Ho1, Sanjay Sarma1
1Massachusetts Institute of Technology, United States

In traditional warehouses, all items of the same stock-keeping
units (SKUs) are usually co-located. However, the emergence ofautomatic identification and tracking technologies like RFID,
enables us to consider free-form storage. We consider the strategy
of storing identical items in a fragmented manner. The storage ofidentical SKUs in different locations creates new optimization
opportunities by enabling more numerous picking route choices
beyond standard unique location sets. Multiple storage location
problems are not as well understood as the co-located storage case,and the complexity is greater. We present an abstract warehousemodel to explore the storage location assignment problem inwarehouse systems involving unit-load order picking andillustrate how multiple copies of items affect optimal location
assignment. We introduce a provably optimal strategy involving a
concept called “order pressure.” We provide an optimalarrangement method for unit-load pick-orders and show how
relative item probabilities affect clustering and distribution.

Establishing Work Design Criteria through a Highest Expected
Utility Neural Network Model: An Automotive Trim Case Study
Rolando Quintana1, Mark Leung1
1University of Texas at San Antonio, United States

The purpose of this research is two-folded. First, it attempts tomaximize productivity and yield as well as to minimize the spatial
fixed cost through the development of a work design decision
making tool for optimizing work cell configurations andergonomics. Second, the case study applies influence diagram andneural network to analyze and evaluate work/process design
criteria. Practically, the industrial problem is to compare the newstand-up sewing cells against the traditional sit-down sewing
layout while taking into consideration of ergonomic effect(repetitive motion injury (RMI) likelihood), floor space (SF), yield(%), and cost ($). The work design decision making tool used in
the current study is based on influence diagram run on the
HUGIN neural network software. Statistical tests are used tobenchmark and validate the experimental results and actual data.
Findings suggest that neural network is an effective alternative insolving work design problem.
A Mathematical Programming Method for Flow Path Design in
High-mix and Low-volume Flow Manufacturing
Yunfang Peng1, Zailin Guan1, Li Ma1, Chaoyong Zhang1, Peigen Li1
1Huazhong University of Science and Technology, China

For the operation and control of flow manufacturing in a high-mix
and low-volume production environment, a method of flow pathmanagement is introduced. It involves the dynamic formation andcontrol of adaptable flow paths corresponding to different productfamilies. A mathematical programming approach is presented forthe design of flow paths, which takes into consideration the
sharing of machines among various product families. The
objective is to maximize the throughput in a predefined planning
period and to minimize the number of shared machines. An
illustrative example is given for demonstrating the use of the
proposed method.

A Paradigm for Group Technology Cellular Layout Planning in
JIT Facility
Mark Leung1, Rolando Quintana1, An-Sing Chen2
1University of Texas at San Antonio, United States
2National Chung Cheng University, Taiwan

A commonly examined domain associated with Just-In-Time (JIT)
manufacturing is the implementation of Group Technology (GT),which requires identification of part families and machine groups
in order to exploit similarities and achieve economies inmanufacturing. One of the issues is how to design an effective
layout which promotes the benefits of JIT cells. We present a
procedure to design the layout of manufacturing cells operating
within a GT environment. The approach, which can be easily
adopted by practitioners, translates information such asprocessing requirement of parts, demand volume, and machine
capacity into a material flow matrix. With an initial layout plan
generated by assigning machines on a spacefilling curve, thecellular layout problem is solved by CRAFT. Using this procedure,
we can recursively create a number of layout designs. A “gauge”
measure indicating the intensity of material flows is also provided
to assist managers in selecting desirable floor plan.

73

Session
Date
Time
Room
ChairsManufacturing Systems 1
12/10/2008
13:30 - 15:00
Jupiter 3
Iraj Mahdavi, Jiafu Tang

Congruence between Competitive Priorities and Manufacturing
Decisions: An Exploratory Study
Sanjay Choudhari1, Gajendra Adil2, Usha Anantha Kumar2
1National Institute of Construction Management and Research, Indian Institute ofTechnology-Bombay, India
2Indian Institute of Technology-Bombay, India

This paper studies the choices or settings of the continuous
production system in each manufacturing decision area using datacollected through structured questionnaire from twenty executives
working in manufacturing plants. It also investigates how
choices made in manufacturing decision areas impact competitive
priorities. In general, plants use different settings and in cases
where same settings are used, they seem to deviate from ideal
choice (for continuous production system) reported in literature.
Further, it is observed that some settings improve multiplecompetitive priorities while others show trade off among
competitive priorities.
Lean Manufacturing - a Practitioner's Perspective
Sachpreet Singh Aulakh1, Janpreet Singh Gill1
1RIMT-Institute of Engineering & Technology, India

The paper attempts to present the big picture of lean consisting ofthought process behind lean rather than just a smaller viewconcentrated on lean tools only. Importance of five elements oflean is discussed to appreciate the synergetic effect of eachelement on other towards making an organization lean. Further,a case study on lean manufacturing implementation experience ofan Indian manufacturing firm is presented. It has been attempted
to present lean manufacturing from a practitioner’s perspective.
Managing Product Development Complexities throughRestructuring Information Exchange and Adopting
Configuration Principle
AHM Shamsuzzoha1, Petri Helo1, Tauno Kekäle1
1University of Vaasa, Finland

Increased customer demands and stiffer competition forcing
manufacturing firms to rapid develop and deliver their products
to the markets. Modern products are also become increasingly
complicated and incorporating many newer technologies. To
comply with these complexities, firms need to harness better ways
to tackle the product development (PD) processes. Steps towards
faster information exchange and adopting configuration principle
could triggers to reduce these complexities. In this paper,
generalized concepts and applicability of matrix based tools suchas; design structure matrix (DSM), domain mapping matrix(DMM), multi-domain matrix (MDM) are discussed along withthe effectiveness of configuration principle. Two examples arepresented in order to demonstrate the usefulness and practicalityof matrix based tools and configuration scenarios in PD processes.

74

A Multi-plant Tolerance Allocation Model for Assembled
Electronic Products
Feng-Yi Huang1, Yuan-Jye Tseng1
1Yuan Ze University, Taiwan

To produce an assembled electronic product, the components are
manufactured with certain manufacturing operations and thenassembled with the required assembly operations.
In themanufacturing
operations,eachcomponentmustbemanufactured within the allocated working tolerances such thatthe assembly operations can be performed to build the final
product.
In a collaborative manufacturing system, thecomponents are assigned to the available manufacturing
operations with different tolerance and cost characteristics at
different plants.
In this research, a multi-plant tolerance
allocation model for assembled electronic products is presented.
Firstly, given the blueprint dimensions and tolerances of a product,a tolerance allocation model is presented to determine theworking tolerance of each of the components to maximize thecumulative sum of the working tolerances.
Finally, amathematical programming model is presented to assign thecomponents to the suitable plants with minimized multi-plant
manufacturing costs.
An example product is tested andillustrated.
Application of Modular Fixture Elements Library crossPlatforms Based on Tabular Layouts of Article Characteristics
and XMLJin Cai1, Guolin Duan1, Xu Zhang1, Han Cui1, Tao Yao1, Xuebin Chen1
1Hebei University of Technology, China

Computer-aided fixture design (CAFD) system is usuallydeveloped at a special CAD platform, which limits the dataexchange between different CAD systems. How to transform data
in modular fixture (MF) elements library of CAFD system fromone CAD system to another is focused on in this paper. The
tabular layouts of article characteristics (SML)-based method isadopted in the following ways: firstly, the key data of MF elements
are described, the master model made up of geometry model and
SML then can be formed, variant design can also be realized basedon the master model. Secondly, mapping is realized between SML
and XML. All above researches provide an efficient factor for
XML-based data cross platforms. Finally, an example is illustrated
to provide a powerful proof for CAFD systems’ application indiverse CAD systems.
A Systematic Approach in Shoe Last Design for Human Feet
Chung-Shing Wang1, Teng-Ruey Chang2, Ming-Ching Lin1
1Tung-Hai University, Taiwan
2Nan-Kai University of Technology, Taiwan

The main purpose of this research is to build a process to find themost suitable shoe last for making shoes for human feet. A fitness
function is defined to determine the optimum shoe last. Based onreverse engineering (RE) technology, this research scanned thesurface of human foot and shoe last in STL (Stereo Lithography)
format. We proposed the STL feature-based slicing algorithm toautomatically construct the three most important girthcharacteristics for human feet and shoe last. Fuzzy theory wasused to analyze and build the membership functions of these threeimportant characteristics between the shoe last and human feet.
The analytical hierarchy process (AHP) was applied to compare
the important index and decide the weighting functions for eachgirth characteristic to determine the fitness function in all shoe last
databases for the feet.

are presented.
Session
Date
Time
Room
ChairsManufacturing Systems 2
12/10/2008
15:30 - 17:30
Jupiter 3
Enrico Vezzetti, Roger Jiao

Background Analysis for the Application of EOQ Model in a
Three-stage Steel Roller Production System with Deterministic
Demands and Returns
Yang Liu1, Jiafu Tang1, Richard Y.K. Fung2
1Northeastern University, China
2The City University of Hong Kong, Hong Kong

ART Based Cell Formation Using Combined Operation
Sequence and Time
Mohapatra S S1, S. Sahu2, SudhakaraPandian R3
1National Institute of Technology, India
2Indian Institute of Technology, Kharagpur, India
3Kalasalingam University, India

The cell formation (CF) problem mainly deals with clustering ofparts into part families and the machines into machine cells. The
parts are grouped into part families based on similarities I their
manufacturing and design attributes and the machines areallocated into machine cells to produce the identified part families.
The zero-one part-machine incidence matrix is commonly used as
input to any clustering algorithm. The output is generated in theform of block diagonal structure. Production data such as
operation time, sequence of operations, batch size etc. that havesignificant bearing on smooth flow of materials are not consideredin such methods. In this paper, an attempt has been made to
develop an algorithm based on Adaptive Resonance Theory (ART)neural network to addresses this issue by considering combinationof operation sequence and operation time of the parts to enhance
the quality of the solution obtained for the CF problem. A new
performance measure is proposed to assess the goodness of thesolution quality obtained through proposed algorithm. The
performance of the proposed algorithm is tested with example
problems and the results are compared with the existing methods
found in the literature. The results presented clearly shows thatthe performance of the proposed algorithm is comparable withother methods for small size problems and better for large size
problems.
A Genetic Approach to Solving a Hybrid Flow Shop Scheduling
Problem
Iraj Mahdavi1, Salim Mojarad1, Babak Javadi1, Ali Tajdin1
1Mazandaran University of Science & Technology, IranIn this paper, we address the problem of scheduling n jobs in ans-stage hybrid flowshop with batch production at the last stage
with the objective of minimizing a given criterion which consistsof three parts: the total weighted earliness, the total weighted
tardiness and the total weighted waiting time. The batch
production under our study is referred to as serial batches. To
solve the problem we proposed an efficient GA approach.

Facing increasing market competitions, more manufacturers opt toincorporate remanufacturing into their production system in order
to alleviate pressures due to increasing raw material price. The
management of inventories in the production system becomes
more complex when manufacturing and remanufacturing takeplace simultaneously. It is essential to find a way to decide whenremanufacturing should starts and stops at a lower cost. This
paper introduces a manufacturing/remanufacturing system withmultiple serviceable inventories and multiple recoverable
inventories in a steel roller producing process. By considering
manufacturing and remanufacturing in the different stages, threemodes of production are identified. Then, the inventory profiles inthe system are studied to make preparation for the application of
EOQ model in the steel roller production process to decide theoptimal order quantities and the optimal order time between
various serviceable inventories with the view of minimizing the
average cost.
Cycle Time Reduction in Assembly and Test Manufacturing
Factories: a KPI Driven Methodology
Li Zheng1, Jing Xiao1, Forest Hou2, Wei Feng1, Na Li1
1Tsinghua University, China
2Intel (Pudong) Corporation, China

In this paper we will introduce a new cycle time performancetracking matrix derived from the factory physics queuing model.
We will explore a systematic way to structure the hierarchicalcycle time key performance indicators (KPI) framework and also
to define the right owner to improve those measurements. We
will extend the discussion to some control and improvement
methods, in particular, CONWIP release control management, aFirst In First Out (FIFO) dispatching automation tool and the useof Value Stream Mapping (VSM) to reduce factory variability.
These tools and methods lead to great benefits to the factory costsaving.
Flexible Job Shop Scheduling Problem Solving Based on
Genetic Algorithm with Model Constraints
Xuan Du1, Zongbin Li1, Wei Xiong1
1Xi'an Jiaotong University, China

Quay crane scheduling a yard truck scheduling are two important
subproblems in container terminal operations, which have beenstudied separately in previous research. This paper treats thescheduling of quay crane and yard truck in a whole. The problem
is formulated as a mixed integer programming model and solved
with a genetic algorithm. Computational examples show thebenefits of integrated methods and the efficiency of the proposed
algorithm.

An improved genetic algorithm (GA) is presented to solve Flexible
Job Shop scheduling (FJSS) problem. This algorithm combines GA
with constraint model based on polychromatic sets theory (PST).
According to the characteristic of FJSS problem, this algorithm
uses contour matrix to formalize the restrictions between
work-piece and operations, and between operations and machines.
During the process of encoding, decoding, crossover and mutation,
the contour matrixes guarantee the genetic searching in the valid
solution space. At the same time, the calculation of fitness value
is simplified and the computer programming is easy developed.
The disadvantage of traditional GA that is the premature
convergence and slow convergent speed are improved.
Experimental results demonstrate that this algorithm is very stable
and its efficiency is improved. It is fit for solving FJSS problem
and dynamic scheduling problem.

Solving a New Mathematical Model for Cellular Manufacturing
System: Fuzzy goal Programming

An Intuitive Framework to Automate Feature-Rich Manual
Tasks and Manufacturing Processes

Mohammad Mahdi Paydar , Iraj Mahdavi , Maghsud Soleimanpur , Ali
Tajdin2
1Young Researchers Club, Islamic Azad University, Babol Branch, Iran
2Mazandaran University of Science & Technology, Iran
3Faculty of Engineering, Urmia University, Iran

Ioannis Georgilas1, Vassilios Tourassis1
1Democritus University of Thrace, Greece

Integrated Quay Crane and Yard Truck Schedule for InboundContainers
Der-Horng Lee1, Jin Xin Cao1, Qi Xin Shi2
1National University of Singapore, Singapore
2Tsinghua University, China

1

2

3

A fuzzy goal programming based approach is taken to solve an
extended multi-objective mathematical linear programming
model to handle two important problems in cellular
manufacturing systems simultaneously: Cell formation and layout
design. The advantages of proposed model are considering themachine’s costs, inter-cell, intra-cell (forward and backward)material handling, operation sequence and resource constraints inmachine capacity. To illustrate the applicability of the proposedmodel, an example has been selected and computational results

The common image of manufacturing today is that of an industry
dominated by automation. Yet manual labor is still used in a large
variety of difficult tasks that combine precision and accuracy withsophisticated cognition. The market demands for higher
production rates while maintaining quality levels, are forcing theconversion of the remaining manual tasks to automated ones.
While this process is industry-specific, there is a need to convert
the manual tasks into automatic ones in a systematic way. Basedon a spray-enameling example from the sanitary ware industry,
we develop an intuitive framework that can assist productionengineers in automating feature-rich tasks and processes.

75

Session
Date
Time
Room
ChairsEngineering Education and Training
12/10/2008
11:00 - 12:30
Mercury 1
Amnon Gonen, Jindong Li

Social Intelligence in Digital Library Guide Designers
Hsing-yu Hou1, Tung-Hsu Hou2, Hui-Jiun Hu2
1National Yunlin University of Science and Technology, Taiwan
2Transworld Institute of Technology, Taiwan

Social Intelligence plays an important role in multiple-intelligence.
In E-learning designing stage, there is limited research into social
intelligence evaluation in Taiwan. The goal of the present study
was to adapt the Taiwan Version of the Tromsø Social Intelligence
Scale (TSIS) to the digital library guide designers to evaluate social
intelligence in life skill. In addition to TSIS, Computer
Self-Efficiency Scale was added to do related measurement.
Besides, Kepner-Tregoe Analysis (KTA) was used to collectdesigning scores and decide the final E-materials. Our analyses
revealed good internal reliability, the correlation between TSIS andbasic computer skill was high and applying KTA decided better
digital library guide movies.
On-line Training for Improvement of Business Decisions
Amnon Gonen1, Eyal Brill2, Motti Frank1
1Holon Institute of Technology, Israel
2Decision Makers Ltd., Israel

Business games are usually an improved way for participants tolearn in an exciting, novel and competitive way, the businessworld. The participants can turn business plan into real timedecisions, examine their decisions and learn from their own
success or failures in a competitive environment. The objective of abusiness game is to offer participants the opportunity to learn by
doing to manage a firm and receive an immediate feedback on
their decisions. In this paper we study the contribution of training
to decision making by using a business game simulator. The main
goal of this study is to measure contribution of business gamecourse to a master in management program. The main results
show that the business game course has a unique contribution to a
management program. Its different concept from all other courses
enables different learning and therefore completes the
management education.

Relevance of Technical Education For Electrical TechniciansWorking In Industry/Organization
Mahadev Talawar1, Mahadevi Banad1
1B.V.V.S. Polytechnic, India

This era has witnessed phenomenal advancement in science andtechnology. A large number of science, diploma holders andtechnical graduates pass out from different institutions every year.
At present, engineering graduates or even highly qualified
engineers replace the positions of the technicians or
managers/supervisors. They are unable to satisfy the demands ofthe industries because of insufficient practice skills, which in turndepends on the type education offered in polytechnics i.e. Today’s
polytechnic education is institutional based and is broadly
structured to train generalist technician in a given discipline.
Multidisciplinary and co-curricular activities are lacking in the
curriculum of polytechnics. The role of the industry is not only
limited only in production activities but also have to play the roleof partnership in the system of technician education.
Build an Education Resources Allocation Planning Model of
School with Integrating Information Technology
James K. C. Chen1, Kevin C. Y. Chen2, Sin-Yi Lin2, Benjamin J. C. Yuan3
1Asia University, National Chiao Tung University, Taiwan
2Asia University, Taiwan
3National Chiao Tung University, Taiwan

The most important core competences of school education
resources allocation is the teaching activities of integrating
information technology into instruction. This paper explores
integrating information technology into instruction how to build
an education resources allocation planning model using De Novo
programming for case study. We expect building an efficientplanning model of integrating information technology into
instruction for school education resources allocation, and using De
Novo programming for achieving aspired/desired level base on
education resources allocation of school. How we can be in the set
budget for accomplishing the resources allocation with minimum
cost. In empirical case we find if the resource limitation is loosen,
and De Novo programming and resources allocation project
management are implemented, the optimal resource allocation of
integrating information technology into instruction will beachieved and the cost of school management can be reduced.

Study of M-learning system for Middle School
The Experience to Develop Provincial Key Undergraduate
Program: Engineering Quality Led Education forApplication-oriented Students
Jindong Li1, Jixuan Feng1, Leela Green2
1Zhejiang Wanli University, China
2Stanford University, United States

There currently exists a sizeable gap between the qualifications ofuniversity graduates and social want. From the perspective thatengineering
quality
constitutesaprerequisiteofapplication-oriented graduates, the concepts of engineering
quality, technique, and application-oriented requirements will be
discussed in this paper, as well as the relationship between
application-oriented education and engineering quality. The
discussion introduces changes in educational objectives according
to the present reform project in China, and puts forward the
proposed methodology: that is, how to arrange classes at theforefront of engineering consciousness. A summary of the practiceof developing the Provincial Key Undergraduate Program in
advancing Information Management and Information Systems at
Zhejiang Wanli University is presented. Our aim in the study is to
apply pedagogical theory, engineering philosophy, and systems
science toward the teaching and learning practices of universities.

76

Young C. Park1
1Baekseok University, South Korea

Wireless-enabled laptops make it possible for students to use theirtime more efficiently, access databases and information from theInternet. The ubiquitous learning environment is suitable formobile learning (m-learning). This paper discusses thecharacteristics and requirements of m- learning based onubiquitous computing. And we suggest the feasible design ofm-learning system and describe the case study of music education
using PDA (personal digital assistant) devices for middle school in
Korea.

Session
Date
Time
Room
ChairsSafety, Security and Risk Management 1
12/10/2008
13:30 - 15:00
Mercury 1
Assed Haddad, Krzysztof Kolowrocki

Flight Risk Assessment to Airlines Using Bayesian Belief
Networks and Fuzzy Comprehensive Evaluation
Songbin Ding1, Yi Ru1
1Civil Aviation University of China, China

The nature of flight risk assessment has always been a problem of
uncertainty. In order to quantify the risk somehow is important.
Based on the previous related studies of airlines flight safetyassessment a new flight risk assessment index system was built inthis paper. Bayesian belief networks model with diagnostic andpredictive inference was proposed to evaluate flight accident
probability on the knowledge and experience of experts. Then by
the use of two-grade fuzzy comprehensive evaluation with
employing centralization statistical method, the accident
consequence severity level could be obtained. The application
through a practical example shows that the risk assessment can
not only avoid the subjectivity of the experts but also deals withthe uncertain information effectively. The assessment results canobjectively and comprehensively exhibit the risk of flight forairlines, and the method turns out to be a feasible way to the flightrisk assessment.
Radiology Staff Scheduling Under the Compressed Workweeks
Serap Ulusam Seckiner1, M. B. Önay1
1University of Gaziantep, Turkey

This paper presents a computer-assisted scheduling program
which produces feasible work schedules for radiology service.
Implementation of such a program in system will minimize
exposure to radiation and provide staff preferences whilesatisfying the workforce requirements of potential shifts. The
developed program which produces feasible solutions inreasonable time will substantially reduce scheduling conflicts suchas compulsory days off and weekend/weekday shift requirements.
Safety Plan Process for Public Sports Buildings
Toni Hyytinen1
1Tampere University of Technology, Finland

In Finland safety planning for public sports buildings is achallenging process because buildings are in multipurpose use
and numerous organizations and personnel groups are also
operating under the same roof. Local staff lacks instructions andtools to help them with safety planning. This paper presents aprocess model for establishing a safety plan for public sports
buildings. The model was created on the basis of four case studies
and constructed from experiences gained in interviews, safety
planning participation and testing. The process model consisted of
11 phases and verbal instructions were created for executing eachphase. The study’s proposal for establishing practical safety plan
procedures can also be applied to other types of public building.

An analysis of Project Risks using the Non-parametric Bootstrap
Technique
Saeid Alborzi1, A. Aminian2, S. M. H. Mojtahedi3, S. M. Mousavi3
1Islamic Azad University Qazvin Branch, Iran
2Islamic Azad University Gachsaran Branch, Iran
3Islamic Azad University South Tehran Branch, IranStandard statistical techniques do not always provide answers toproject risks questions because often there are no parametric
distributions on which significance can be estimated. Resampling
methods provide a battery of tests that can be used in suchcircumstances. In the past few years these methods have been
explored theoretically and are now employed frequently. The aimof the paper is to highlight the motivations for using a model baseon bootstrap in typical project risk analysis. Bootstrap method for
decreasing the standard deviation of project risks is described. We
give a numerical example for better understanding.
Occupational Safety in Shared Industrial Workplaces
Juha Vasara1
1Tampere University of Technology, Finland

The amount of outsourcing has increased over the passing years.
Employees from several employers are often working in the same
workplace with diverse working methods. Companies alreadyhave good practices relating both to occupational safety of theirown employees and those of their partners. This paper presents
the results of interviews concerning the kind of practices
industrial service providers and their customers have adopted inorder to achieve a good level of occupational safety for bothpartners. The most important issues identified were that everyone
must have a commitment to occupational safety as well as there
being close co-operation between contracting parties.
Occupational safety must be taken into account in every phase of
the contract period, i.e., from initial negotiation of a contract tofinal conclusion of the contract.
Risks in Decision making - Learning from the Brent Spar Case
Mohammad Shahriari1, Roland Örtengren1
1Chalmers University of Technology, Sweden

Decision making is an important element in managers’ work.
Despite the importance it happens that decision makers do not
pay enough attention to some important factors. A decision which
seems to be right might face considerable risk due to its sensitivity
to other factors. One way to avoid such a situation is learning from
historical cases. This paper is focused on Shell Brent Spar case andthe decisions leading up to its disposal. The aim of the study is toanalyse and assess interactions of different actors which are
involved by means of risk assessment to identify the main
influencing factors affecting the failure of the decision. The results
show that different moral grounds of the actors, poor
communication of Shell with the society, and being distracted byeconomic benefits were the most important influencing factors
affecting the decision.

77Session
Date
Time
Room
ChairsSafety, Security and Risk Management 2
12/10/2008
15:30 - 17:30
Mercury 1
Mohammad Shahriari, Tao Liu

Safety of Railway Control Systems: a New Preliminary Risk
Analysis Approach
Fateh Guenab1, Jean-Louis Boulanger1, Walter Schon1
1Technology University of Compiegne, France

Preliminary risk analysis (PRA) is a methodology used in criticalsystems safety studies. It is primarily used at the preliminary
stage of the system’s design so as to determine the scenarios ofpotential accidents, to evaluate their probabilities of occurrence(frequency) as well as the severity of the resulting consequences
and to propose solutions (preventive and/or mitigative safeguards)
in order to reduce the risk level in terms of severity/occurrence (toreduce the frequency of the contributors or reduce the severity of
the accident). The preliminary risk analysis was largely used inseveral industrial fields (aeronautics, weapons systems, chemistry,railway...) in order to study the safety of the systems. From one
field to another, from one expert to another, many extremely
different approaches and methods are used to carry out thisanalysis. Moreover, the formats representing the results of the
PRA are often varied as well as the terminology and the concepts
related to the PRA. The main goal of this paper, completed within
the framework of project ANR-PREDIT-SECUGUIDE, is to
propose a PRA method and to determine standard contents of
PRA to be used in the context of the railway control systems.
Health, Safety and Environmental Management Risk Evaluation
Strategy: Hazard Matrix Application Case Studies
Assed Haddad1, Cláudia Morgado1, Daniel DeSouza2
1Federal University of Rio de Janeiro, Brazil
2North Fluminense State University, Brazil

This paper presents a risk evaluation and estimation methodology
used for health, safety and environmental management
prioritization strategies. Two case studies are presented anddiscussed throughout the usage of the Hazard Matrix. The Hazard
Matrix is a risk management tool that promotes an organization’s
global evaluation in relation to health and safety at work. Workers,
plant sectors and the work flow are interrelated and the exposure
to hazards and environmental agents are evaluated and estimated.
Analysis and discussion of the application contribute to the risk
management process and determine loss prevention investments.
Two cases allow an enhanced comprehension of the model.
Discussion on the model adequacy and comprehensiveness of aqualitative / quantitative approach to prioritize risk management
investment are also addressed.
On a Framework for Strategic and Tactical Risk Management
Chengwei Lin1, Min Xie1, M. Salahuddin Habibullah2
1National University of Singapore, Singapore
2Institute of High Performance Computing, Singapore

Strategic and Tactical Risk Management (STRM) is a risk
management tool providing users with a framework to assess,monitor and manage the safety of their systems in the short andlong term basis. It consists of 2 levels of analyses: the Tactical
Safety Assessment (TSA) and the Strategic Safety Assessment(SSA). The tactical level analysis serves to provide a quantitative
assessment of the safety of the system when a stimulus is
introduced into it. The strategic level analysis helps users to
improve the overall safety of the system in a long term perspective
by detecting deficiencies in the safety of the system andorganization. Systems can be meaningfully categorized withrespect to the type of risk management needs that are pertinent tothem - Understanding, Developed and Revitalize. An illustrationof the application of the STRM framework will be presented on achore of boiling water using a non-electronic kettle.
Safety Analysis of Ship Technical Systems Related to Variable
Operation Conditions
Krzysztof Kolowrocki1, Joanna Soszynska1
1Gdynia Maritime University, Poland

Basic safety structures of multi-state systems of components withdegrading safety states related to their variable operation
conditions are defined. For these systems the conditional andunconditional multistate safety functions are determined. A

78semi-markov process for the considered systems operation
modelling is applied. Further, the paper offers an approach to thesolution of a practically important problem of linking themulti-state systems safety models and the systems operation
processes models. The proposed approach is applied to thepreliminary evaluation of a safety function, a risk function andother safety characteristics of a ship system with varying in time
its structure and safety characteristics of the subsystems it iscomposed.
Probabilistic Risk Assessment Framework Development for
Nuclear Power Plant
Tao Liu1, Jiejuan Tong1, Jun Zhao1
1Tsinghua University, China

Advanced Nuclear Power Plant (NPP) concepts and technologies
are currently under development rapidly, which make thetraditional Probabilistic Risk Assessment (PRA) framework
inapplicability. The objective of this paper is to illuminate thisinapplicability and seek redress. The discussion begins withtraditional LWR NPP’s PRA framework, and then points out its
cause of formation and limitations. Secondly, a new integral PRA
framework is suggested based on the safety characteristics of theadvanced NPP. Finally, a case study shows the structure of therenewal PRA framework.
Systems Engineering Based Model for Risk Assessment: a Case
Study
Changhua Li1, Leon Pretorius2
1Hefei University, China
2University of Pretoria, South Africa

Risk assessment (RA) is considered as a sub-system of risk
management (RM). The socio-technical aspects of RA in a
residential development (RD) are discussed within a systems
engineering (SE) context. A RA model for a semi-developed
project completed by a foreign developer in South Africa (SA) is
discussed.
Collaboration Oriented Approach for Managing Safety andSecurity Risks in Organizations
Marinka Lanne1, Janne Sarsama1
1VTT Technical Research Centre of Finland, Finland

Effective management of safety and security risks can help acompany to avoid losses. However, organizing a risk management
process can be challenging. In parallel with gathering the specificinformation regarding technical details from several different
systems, the more wide-ranging information from organizational
functions is required. In addition, risk estimating requires various
knowledge and understanding concerning not only technicalsystems but human behavior, environmental effects andeconomics. It is crucial to be able to constitute an overall view ofthe diverse risk field in order to support decision making.
This article brings out the important role of collaboration in therisk management process. The focus is both on internal
collaboration and information exchange across the boundaries.
Based on the findings from two studies the framework ofcollaborative risk management is brought forth and practices
supporting more collaborative approach for risk management aresuggested.
A General Model of Ship Technical Systems Safety
Krzysztof Kolowrocki1, Joanna Soszynska1
1Gdynia Maritime University, Poland

A multi-state approach to defining basic notions of the systemsafety analysis is proposed. A system safety function and a systemrisk function are defined. A basic safety structure of a multi-stateseries system of components with degrading safety states isdefined. For this system the multi-state safety function isdetermined. The proposed approach is applied to the evaluationof a safety function, a risk function and other safety characteristics
of a ship system composed of a number of subsystems having anessential influence on the ship safety.

Session
Date
Time
Room
ChairsWork Force Scheduling for Mixture Policy of Preventive andCorrective MaintenanceReliability and Maintenance Engineering 4
12/10/2008
11:00 - 12:30
Mercury 2
Syed Rizwan, Mayorkinos Papaelias

Maintenance Performance Assessment (MPA) framework
Engineering Asset

Sakon Wongmongkolrit1
1Kasetsart University, ThailandforAditya Parida1
1Luleå University of Technology, Sweden

Assessing Performance is a necessity for any industry today evenin its simplest form. Performance assessment of maintenanceprocess is a complex issue as it involves various inputs, outputs
and stakeholders. Therefore, it is essential to consider all the
relevant issues and factors for the maintenance performanceassessment (MPA). The stakeholders’ needs are required to beconsidered from different organizational hierarchical levels. In
this paper, the author has tried to discuss the MPA frameworkfrom multi-criteria and hierarchical level, which is a holistic andbalanced for the industrial application.

Basically, scheduling concept for mixture policy of preventive
with corrective maintenance is scheduled under the least assigned
workers whose have high utilization of their maintenanceresponsibilities. Whereas, scheduling algorithm will be exploitedand applied for determining the cyclic shift work and workers
scheduling in according to entirely response to the activities of
preventive and corrective maintenance. Additionally, every
worker will have similar of the amount day-work and day-off
with the equivalency vacancies on their weekend. The thinking on
the basis of probabilistic failure rate concept is the main objectiveof this research study, whilst the algorithm is thought on basis of
mixture policy of preventive and corrective which is to be usefulfor all industries to do their maintenance actions.
A Combined Self-organizing Map Neural Network with
Analysis Graphical Approach for Mixed-weibull Parameter
Estimation
Pei-Hsi Lee1, Chau-Chen Torng1
1National Yunlin University of Science and Technology, Taiwan

Cost Estimation for Maintenance Contracts for Complex
Asset/Equipment
Anisur Rahman1, Gopinath Chattopadhyay2
1Griffith University, Australia
2Central Queensland University, Australia

Maintenance contracts are becoming more and more popular tothe owners of complex and critical items as maintenance throughcontracts reduces upfront investments in infrastructure, expertiseand specialised maintenance facilities. In recent years,
maintenance contracts have received significant attention due toincreased profits for the service providers and reduction of risk forowners through expert services provided by the service providers.
To make maintenance contracts more effective, there is a need todevelop mathematical models and understand future costs that
could be built into the contract price. In this paper, a conceptualmodel is developed for estimating cost of outsourcing
maintenance of complex and critical asset/equipment taking into
account both corrective and preventive maintenance as servicing
strategies.
Empirical Bayes Methodology for Estimating Equipment Failure
Rates with Application to Power Generation Plants
Lesley Walls1, John Quigley1, Kenneth Hutchison2, Mohammad Raza2
1University of Strathclyde, United Kingdom
2Alstom Power, Switzerland

Many reliability databases pool event data for equipment acrossdifferent plants. Pooling may occur both within and between
organizations with the intention of sharing data across common
items within similar operating environments to provide better
estimates of reliability and availability. Frequentist estimation
methods can be poor when few, or no, events occur even whenequipment operate for long periods. An alternative approachbased upon Empirical Bayes estimation is proposed. The new
method is applied to failure data analysis in power generation
plants and found to provide credible insights. A statisticalcomparison between the proposed and frequentist methods showsthat Empirical Bayes is capable of generating more accurate
estimates.

The mixed-weibull distribution is widely used to analyze the
Burn-in time. Kececioglu had presented its parameter estimation
method with application of weibull probability plot (WPP) such agraphic analysis method. However his method is not easy toestimate parameters when the data loses the failure mode
information. A self-organizing map neural network (SOM) is used
to cluster the classification of failure mode. We combined SOM
with Kececioglu’s method to estimate the parameters of
mixed-weibull distribution. A simulation study is given to show
the accuracy of parameter estimation of our method under small
sample size.
A Novel Reliable Routing Algorithm for Network on Chips
Maryam Raiyat Aliabadi1, Ahmad Khademzadeh1, Mohammd Raiyat
Aliabadi2
1Iran Telecommunication Research Center, Iran
2Malek-e-Ashtar University of Technology, IranAs technology scales, fault tolerance is becoming a key concern inon-chip communication. In this paper we present a methodology
to design fault-tolerant routing algorithms for regular directinterconnection networks. It supports fully adaptive routing, does
not degrade performance in the absence of faults, and supports areasonably large number of faults without significantly degrading
performance. Consequently, this work examines fault tolerant
communication algorithms for use in the NoC domain. Before
two different flooding algorithms, a random walk algorithm andan Intermediate Node Algorithm have been investigated. The first
three algorithms have an exceedingly high communication
overhead and cause huge congestion in usual traffics. The fourth
is a static fault model which focuses on the faults knowing in
advance where they are located. We have developed a new
dynamic algorithm based on intermediate node concept and stressvalue concept to overcome all of mentioned constraints.

79

A Cure Rate Model in Reliability for Complex System
Session
Date
Time
Room
ChairsReliability and Maintenance Engineering 5
12/10/2008
13:30 - 15:00
Mercury 2
Aditya Parida, Shi-Woei Lin

Spare Parts Inventory Control for the Maintenance of Productive
Plants
Maurizio Bevilacqua1, Filippo Emanuele Ciarapica1, Giancarlo Giacchetta1
1Università Politecnica delle Marche, Italy

This paper analyses a set of compares different methods toeffectively manage spare parts inventory, presenting a case study
relating to an Italian pasta producer.
The work was divided into three phases:- in the first phase FMECA analysis was performed in order toclassify all items on the basis of their criticality.
- in the second phase ABC method was used to evaluate
consumption rates of the spare parts.
- Finally different re-order point methods were compared. Threedemand modelling techniques and inventory policies areevaluated using real data: 1) Normal distribution, 2) Poisson
distribution and 3) Gamma distribution.
Economic Order Quantity method was used to define thepurchase policy. The results showed that the normal distribution is
not generally advised for modelling the demand of slow-moving
items, for which a Poisson distribution is better recommended.

A B-Spline Approach to Alternating Current Field
Measurement for Railroad Inspection
Mayorkinos Papaelias1, Fausto Pedro García Márquez2, Jesus Miguel Chacón
Muñoz2, Clive Roberts1
1The University of Birmingham, United Kingdom
2University of Castilla-La Mancha, Spain

Reliable detection and evaluation of surface breaking defects inrails caused by rolling contact fatigue mechanisms is ofparamount importance for the rail industry. Experimental work
has showed that alternating current field measurement (ACFM)
techniques are suitable for the high-speed inspection of rails. This
paper presents an algorithm based on B-spline estimation thatanalyses the shape of the ACFM signal obtained during inspection
under laboratory conditions.
A Multi-Objective Optimization Approach for Defining
Optimal Design Specifications Considering Performance
Degradation
Sunil Bhamare1, Om Prakash Yadav2, Ajay Pal Singh Rathore1
1Malaviya National Institute of Technology, India
2North Dakota State University, United States

Many performance characteristics of a product degrade withservice time, resulting into performance variation. This often costs
heavily to manufacturer through repair and replacement during
warranty period of a product. This paper considers the problem oftime variant performance of a product and presents an approachto analyze degrading multiple responses of a product against theiracceptable performance limits. The aim is to determine amount ofdegradation and include it to augment ‘ideal’ settings of design
variables to ensure trouble free performance during product’s
intended life. The operational procedure of the proposed design
technique is demonstrated using leaf spring example.

80

Jing Lin1, Huiming Zhu2
1SKF China Ltd, China
2Hunan University, China

This paper presents a new approach to do reliability analysis forcomplex system, where a certain fraction of the subsystems isdefined as a “cure fraction” under the consideration that suchsubsystems are “longevous” compared with the entire system.
Including introducing environment covariates and the joint power
prior, the proposed model is developed with the Bayesian survival
analysis method, and thus the problems for censored (or truncated)data in reliability tests can be resolved. In addition, a Markov
chain Monte Carlo method based on Gibbs sampling is used to
dynamically simulate the Markov chain of the parameters’posterior distribution. Finally, a numeric example is discussed todemonstrate the proposed model.
Structure and Dynamics of Distributed Leadership in the
Perspective of Social Network Analysis
Chunhua Chen1, Jiefang Li1, Haibo Wang2
1South China University of Technology, China
2Texas A&M International University, Armenia

Distributed leadership (DL) is a cooperation pattern that at least
two individuals act as leaders in a team. This paper goes beyond
the accumulative perspective of DL. First, basing on social
network theory, it analyzes the structure of leader-role distribution
at team level and at individual level with the measures of density
and centrality, respectively. Then, the comparison of DL andcentralized leadership is delineated by the curve of density andcentrality of leadership network. Finally, four phases ofcommunication and two kinds of trust describe the dynamicaldevelopment of DL, with the explanation of the character of thedensity curve. This paper furthers the operational concept of DL
and draws a base for research on the relationship of DL andorganizational performance.
On Change Point of Mean Residual Life of Parallel Systems
Yan Shen1, Min Xie1, Loon Ching Tang1
1National University of Singapore, Singapore

Mean residual life is one of the most important characteristics thatcan be used to measure the reliability of parallel systems. In
literature, mean residual life of parallel systems has been definedin different ways. How are these mean residual life functions
related to each other? To answer this question, this paper studies
the mean residual life of parallel systems from the point of view ofchange point, at which the mean residual life function changes its
trend. Different definitions of the mean residual life of parallelsystems are reviewed and introduced. By comparing the change
points of these mean residual life functions graphically, we findthat these change points behave in a regular pattern, and all ofthem are related to the change point for single components in the
aspect of location. These results are helpful in the determination of
optimal burn-in time.

Session
Date
Time
Room
ChairsSystems Modeling and Simulation 1
12/10/2008
15:30 - 17:30
Mercury 2
Szu Hui Ng, Jae-Yoon Jung

A Method for FE Simulation of Serrated Chip Formation during
High Speed Machining Hardened SteelChunzheng Duan1, Yujun Cai2, Yuanyuan Li1, Minjie Wang1
1Dalian University of Technology, China
2Tianjin Key Laboratory of High Speed Cutting & Precision Machining,
University of Technology and Education, China

A finite element method involving Johnson-Cook material modeland fracture criterion was used to simulate the serrated chipmorphology during high speed machining AISI 4340 hardened
steel in different rake angles using commercial FE software
ABAQUS. The effects of rake angle and chip morphology on
cutting force were discussed. The investigation indicates that thesimulation results are consistent with the experiments and this FE
simulation method presented can be use to predict the chipmorphology and cutting force accurately during high speed
machining hardened steel.
A Hybrid Simulation Model for Manufacturing Systems Using
Event-State-Operation Transitions
Dongphyo Hong1, Yoonho Seo1
1Korea University, South Korea

Manufacturing systems are complex and sophisticated. Modelingand simulation is effective for solving problems pertaining tothese systems, such as the determination of the best configurationof a manufacturing system. Most simulation models of
manufacturing systems adopt discrete-event simulation, an
approach in which the continuous behavior of equipment in a
spatial environment cannot be easily represented. In this paper,
we present a hybrid simulation model that combine discrete-eventand continuous simulation to deal with spatial and continuous
state transitions. An event-state-operation transition diagram thatcan represent a simulation model is proposed. A simple example
of manufacturing systems is modeled using the proposed
approach and simulated through a transition diagram.
Development and Analysis of Fuzzy Priority Rules for
Scheduling a Dynamic Job Shop Production System
Vinod V.1, R. Sridharan1
1National Institute of Technology Calicut, India

This paper focuses on development and analysis of schedulingrules using fuzzy logic for scheduling a dynamic job shop. A
discrete-event simulation model is developed for the purpose ofexperimentation. Six scheduling rules from the literature areincorporated in the simulation model. Three scheduling rules
using fuzzy logic approach have been developed and analyzed.
The max-min composition method is used for determining the
fuzzy priorities. The fuzzy based scheduling rules perform better
for mean flow time measure. One of the fuzzy based rules
performs better for mean tardiness and percentage of tardy jobs.

A Hybrid GA-Simulation Approach to Improve JIT Systems
Ali Azadeh1, Vahid Ebrahimipour1, Parisa Bavar1, Ehsan Shojaei2
1University of Tehran, Iran
2Islamic Azad University Abhar Branch, IranThis study presents a hybrid approach involving genetic
algorithms (GA) as an optimization search technique and asimulation model, representing the dynamic behavior of thesystem and its limitations, to improve the actual JIT
manufacturing system. To achieve the objective, first, the actual
system is modeled and simulated (by considering the system’s
limitations and its dynamic behavior). Second, the integrated
simulation model is tested and validated by analysis of variance.
Third, the hybrid GA-Simulation approach is used in aninteractive manner to determine the optimal number of kanbancards in different stations of the actual JIT system. The presented
hybrid approach is tested and applied to an auto industry
production line. Furthermore, it is compared with the practical JIT
through analysis of variance (ANOVA) and the results show

improvements in the average daily production rate, the average
resource utilization and the average cycle time but somedeterioration in the average queue length and in-process
inventory is inevitable.
Enhancing the Scheduling of Interventional Radiology
Department Using Data Analysis and Modeling and Simulation
Balagopal Gopakumar1, Shengyong Wang1, Mohammad Khasawneh1,
Krishnaswami Srihari1, Joan Hensberry2, Davette Cummings2
1State University of New York, Binghamton, United States
2Wilson Memorial Regional Medical Center, United States

This paper focuses on improving the overall operations of aninterventional radiology department at a community hospital in
USA. In the first phase of the improvement process, significant
delays, involving waiting time of patients in preparation rooms,
delays in their arrival to procedure rooms, and waiting time forthe radiologists, were observed. A thorough analysis of the delays
led to the second improvement phase, wherein the casescheduling methodology was evaluated. Through a Design ofExperiment (DOE) approach, it was determined that patient's age
and the different radiologists do not have significant impacts on
the procedure time. A discrete-event simulation model was thencreated to replicate a baseline of the current system, upon which a
new scheduling model, which incorporates procedure time-blocks,
was identified and evaluated. The proposed scheduling model
resulted in a 16% increase in room utilization and 11% increase indaily procedure throughput, without requiring any additional
resources.
A MDA Approach for Semi Automatic Grid Services Workflows
Composition
Yousra BenDaly Hlaoui1, Leila Jemni BenAyed1
1Research Unit of Technology of Information and Communication Tunis, Tunisia

In this paper, we propose a Model-Driven Approach (MDA) for
developing workflow applications from existing Grid services. We
focus on how to model and compose workflow applications of
Grid services without considering lower level description of theGrid environment. The workflows are built on an abstract level
using UML activity diagram language with semantic and syntactic
descriptions of services available on the Grid. Also, we define a
Domain Specific Language using the extension of the UML
activity diagram notation. This extension deals with additional
information allowing an automatic composition of workflows andcontaining appropriate data to describe a Grid service. These data
are useful for the execution of the resulting.
Re-Engineering Fiber Optic Production Process by Simulation,
Design for Assembly Line
Wichai Chattinnawat1
1Chiang Mai University, Thailand

This research aim to re-engineer the process in order to improve
both productivity and quality of LC Duplex connector optical fiber
production line. This re-engineering process research for fiber
optic production process had adopted line balancing, design ofassembly line and cellular manufacturing to improve theproductivity and quality of the process. Simulation has been used
as a mechanism for finding solutions of improvement. The design
for assembly line adopt the optimization algorithm ofminimizing the maximum between the operation times of eachcells and its average. The results showed that the productivity wasincreased, line balancing efficiency was dramatically improved,
and work in-process was reduced as well as the improvement inquality.
Grazing-Sliding Bifurcation Induced by Dry-Friction in a
Braking System
Fenghong Yang1, Hongzhi Tong2, Yun Tang3
1Central University of Finance and Economics, China
2University of International Business and Economics, China
3Tsinghua University, China

We investigate numerically the nonsmooth bifurcation induced by
dry-friction for a braking system and find that there exists
grazing-sliding bifurcation with multi-sliding part which can leadto chaos suddenly.

81Session
Date
Time
Room
Chairs

E-Business and E-Commerce 1
12/10/2008
11:00 - 12:30
Mercury 3
Jae-Yoon Jung, Chui Young Yoon

The Use of E-SQ to Establish the Internet Bank Service Quality
Table
Yu-Lung Wu1, Michael C.S Chang1, Pei-Chi Yang1, Ying-Jun Chen1
1I-Shou University, Taiwan

In order to assist Internet bank to be able to reach the enterprise’sgoal, which is satisfying the customer’s demand and this goal isdifferent from the PZB service quality model; thus, this study uses
ZPM E-Service Quality Model as the foundation to assess websites.
The study object would be the companies that provide Internet
bank services at present. Then, the factors that influence
customers’ quality satisfaction towards services would be
generalized, and the questionnaire survey would be carried out
the users, administrators, and employees of Internet bank. A
service quality table that assesses Internet bank would beestablished through the evidence-based study result, it also
verifies that information gap, design gap and fulfillment gap are
significant. The result also finds out eight dimensions, including“efficiency”,“reliability”,“privacy”,“compensation”,“responsiveness”,“contact”,“senseofbeauty”
and“individualization”, are the key factors that influence the service
quality of Internet bank.
Success Factors of E-Learning System Based on Students'
Perspectives
Su-Sui Lin1, Kwo-Ting Fang2
1National Yunlin University of Science and Technology, Hsiuping Institute ofTechnology, Taiwan
2National Yunlin University of Science and Technology, Taiwan

As a result of Information Technology continuously growing,educators and training developers need not only rethink theirapproach to teaching and training but also decides how
technology can support it. One issue for them is E-learning, also
known as distance learning, online learning, web-based learningand so on. However, much of it is quantity research or system
implementation. Educators make efforts to discover proper
teaching, learning and assessment strategies for their students and
MIS researchers are devoted to provide or develop a suitablelearning environment for students. But these researchers lackfurther discussion on both Educational Psychology andtechnologies. Therefore, the objectives of this paper try to explore
student concerns when using e-learning system from an IQA
approach with a qualitative research method. The result showedthat Instructional Content Planning and Learning Process Support
were Primary Drivers while Learning Interaction was a Primary
Outcome. Instructional Resource Arrangement and System
Function were Secondary Drivers while On-line Testing andFeedback were Secondary Outcomes.
An Explore Study of Non-Using Online-Auction People
Chwen-Yea Lin1, Chien-Chung Tu2, Kwoting Fang1
1National Yunlin University of Science and Technology, Taiwan
2Transworld Institute of Technology, Taiwan

In recent years, online auction marketplaces growing rapidly.
There are 2,565 auction websites on Online-auction List reports.
According to MIC report, about half of the internet users who still
have no online-auction experience. Why they don’t use
online-auction yet? What can affect them to on-line auction? If we
can make Internet users to use e-auction, then the online-auction
market share will increase. In this study, we use Interactive
Qualitative Analysis approach (IQA) to draw non-using
experienced people’s mindmap for online-auction.
To
understand why they still not use e-auction yet and try to find out
how to make them become e-auction users. The implications ofthese findings are discussed and managerial guidelines presented.

82

Interactive 3D Visualization of Customized Products with
Behaviors
Tien-lung Sun1
1Yuan-Ze University, Taiwan

VR-based interactive 3D visualization help customers better
understand the product design features. Due to the many possible
ways to configure a customized product, the VR model of acustomized product can not be pre-defined. It has to be
dynamically generated during customization. Previous researches
on VR-based visualization of customized products only consider
geometry and appearance; the behavior is seldom considered.
This paper proposes an approach to dynamically generate
behavior-included VR models for customized products. First thecustomization strategy and the behavior programming strategy
are discussed. Then a variant approach for dynamic generation of
behavior-included VR model is described. Finally, the process toconstruct the VR model template and to dynamically modify the
template during run-time simulation is described.
Design of the Collaborative Commerce System Model: an
Application Issue in Theme Park of China
Mu Zhang1, Yi Chen2, Junyong Lai1
1Shenzhen Tourism College of Jinan University, China
2Shenzhen Happy Valley Corporation, China

With quickly development under Internet promotion, e-commerceis changing traditional business model increasingly. E-commerce
in tourism industry just start in China and more used in hotel andtravel agency, and few e-commerce model can be seen in tourism
destinations and theme parks. But now theme park are fastdeveloping in China and need to build up a collaborative
commerce platform to improve the cooperation relationship with
their brother enterprise and business partner. With the aid ofautonomy, easy adaptation, flexible and dynamic characteristic of
Agent technology, the authors puts forward a collaborative
commerce model base on Multi-Agent System (MAS) technology.
It can be used to describe the interaction relationship withpartners and can run on the cooperation among the different MAS
layers. Many useful functions, including automated learning, data
analysis and mining, best solution selection etc, can be realized inthis unified collaborative commerce system.
Monitoring Usage Behavior in Subscription-based Services
Using Control Charts for Multivariate Attribute Characteristics
Yaser Samimi1, Abdollah Aghaie1
1K. N. Toosi University of Technology, Iran

Industries such as telecommunication, cellular phone services oronline content providers supply varieties of services to theircustomers for a specific subscription fee for a given duration oftime. Controlling churn rate is an intricate operation for suchindustries because of the multiplicity of customers, diversity ofservices and various usage patterns. It may be recorded, in its
simplest form, for each customer whether she/he uses different
types of services during each data gathering period. Hence, usage
behavior of an individual customer could be represented by abinary vector, which may be modeled statistically as amultivariate discrete distribution. This paper presents how to
employ control charts for multivariate attribute characteristics tomonitor systematically the mean of the customers’ usage patternalong the time. It is shown that applying the appropriate method
allows the firm to detect quickly significant changes in usage
behavior and so prevent from customer churn by remedial
marketing policies.

Session
Date
Time
Room
Chairs

E-Business and E-Commerce 2
12/10/2008
13:30 - 15:00
Mercury 3
Tien-Lung Sun, Raj Siriram

A Web Services Based Framework for RFID Bike Rental
Business Solutions
Kuo-shien Huang1, Shun-ming Tang1
1National Yunlin University of Science and Technology, Taiwan

Radio Frequency Identification (RFID) is a technology to facilitatea ubiquitous environment. For a ubiquitous environment, it isnecessary to model an RFID information framework based on a
network. A web service is a Service Oriented Architecture (SOA)
that can achieve this purpose. Using internet web services
enterprises will exchange information quickly and easily. And an
enterprise could maintain strategic alliances with different classesof businesses. Creating an information system and a platform iseasy, but it is difficult to deploy when using RFID. RFID has bothadvantages and disadvantages. So to avoid problems, establishinga strong business process is important before system development.
This paper is a practical case study that uses an RFID in a bikerental business, and addresses a method to realize.
A New Collaborative Filtering Approach Utilizing Item's
Popularity
Weiwei Xia1, Liang He1, Lei Ren1, Meihua Chen1, Junzhong Gu1
1East China Normal University, China

Collaborative filtering (CF) is one of the most successful
technologies in recommender systems, and widely used in many
personalized recommender areas, such as e-commerce, digital
library and so on. However, most collaborative filtering
algorithms suffer from data sparsity which leads to inaccuracy ofrecommendation. In this paper, we focus on nearest-neighbor CF
algorithms and propose a new collaborative filtering approach.
First, we suggest a new missing data making up strategy before
user’s similarity computation, which smoothes the sparsity
problem. Meanwhile, the notion of item’s popularity weight isdefined and introduced into the computation. After then, whenfacing with new users, we also find a kind way to alleviate thedifficulty in recommendation. The experimental results show our
proposed approach outperforms the other existing collaborative
filtering algorithms. It can efficiently smooth the inaccuracy
caused by ratings sparsity, and can work well in generating
recommendation for new users.
Analysis on the Quantity Effect of Electronic Secondary Market
on the Perishable Goods Supply Chain
Chu Shan1, Yaobin Lu1
1Huazhong University of Science and Technology, China

The advance of business-to-business commerce has result in theestablishment of many types of electronic marketplace. This paper
focuses on a market exchange as the “secondary market” for the
perishable goods—that is, for the resellers to disposal andacquisition of excess perishable goods inventory. Follow themethod of Lee and Whang(2002) and Yan(2005), we investigate thequantity effect of the electronic secondary market on theperishable goods supply chain, which dictates the influence on thesizes of the retailers’ initial orders at the beginning of sellingseason . And we also find that the existence of secondary markets
will expand the impact of the overestimate of the mean demandwith given condition.

Electronic Procurement Systems: an Integrative Model to
Explain Procurement Performance
Antonio Aguiar1, Keshavamurthy Ramamurthy1, Antonio Reis2
1University of Wisconsin Milwaukee, United States
2Technical University of Lisbon, Portugal

Although Electronic Procurement Systems (EPS) may foster
superior company-level performance, their complexity and anaccompanying need for commitment of a substantive amount offirm’s resources necessitate great care in their development and in
the implementation process. Indeed, poorly managed
implementation process could result in underachievement of the
expected benefits. Our study focuses on fostering an effective EPS
implementation processes through a better understanding of thefactors that influence implementation success. Based on an
extensive review of the extant literature and considering thespecific attributes of EPS we develop and propose an integrativemodel to explain Procurement Performance. We posit that EPS
Implementation Success is determined by the EPS ProjectManagement process, the firm’s Absorptive Capacity, and its IT
Competence. We further posit that Systems Integration between
the focal firm and its main suppliers moderates the relationshipbetween EPS Implementation Success and the Procurement
Performance achieved by the firm.
Applying Coloured Activity Net to Model Interorganizational
Workflow
Hong Feng Lai1, S. G. Chen2, W.-H. Jeng3
1National United University, Taiwan
2Tungnan University, Taiwan
3Minghsin University of Science and Technology, Taiwan

With the growing complexity of transactions in internet-based
environment, it is crucial for managing process interaction
between agents. Work item allocation in workflow management
may involve the coordination and distribution of activities among
diverse organizations. To aid the allocation process is still of greatinterest to the designers of interorganizational workflow. This
paper proposed a method coloured activity net (CAN) which
integrates the process, case, and resource viewpoints based oncoloured Petri net and agent-based concepts. First, we introduce aworkflow specification module to express the message
transferring, state changing, process execution, and resource
sharing. We then apply the CAN to model an interorganizational
workflow that involves message transferring forward andbackward between partners. After being validated by simulationof the CPN Tools, the soundness of CAN model can be verified bystate space analysis under the support of CPN Tools, e.g. thereachability graph, liveness property, home marking, deadmarking, and fairness property. The results demonstrate that the
CAN is feasible to model interorganizational workflow.
Service Integration Toward Ubiquitous Business Process
Management
Jae-Yoon Jung1, Jaehyun Kong2, Jinwoo Park2
1Kyung Hee University, South Korea
2Seoul National University, South Korea

Ubiquitous enterprise environments are getting more and more
complicated since pipelined operational systems have beeninterconnected according to the temporary necessities.
Service-oriented architecture based on web services technology
provides a promising platform where the enterprises are allowed
to coordinate seamlessly e-Services on the heterogeneous
information systems. Nevertheless, the architecture remains someweak points in adopting it to ubiquitous enterprise environments.
In this paper, a methodology of business process management for
ubiquitous enterprises is introduced by use of event-driven
services technology and active rule processing. We also illustrate
the proposed architecture with a case scenario of an international
post-sales service company of electronic products.

83Session
Date
Time
Room
ChairsInformation Processing and Engineering
12/10/2008
15:30 - 17:30
Mercury 3
Yisong(Lydia) Zheng, Michel Aldanondo

Business Application Integration in the Demand-driven
Environment - a Case Study
JrJung Lyu1, Ping-Shun Chen2
1National Cheng Kung University, Taiwan
2Chung Yuan Christian University, Taiwan

Production planning and controls usually involve numerous
business application systems, including manufacturing execution
systems (MES), enterprise resource planning (ERP), advancedplanning and scheduling (APS) and other information systems.
Implementing each of these systems is a complex, costly andtime-consuming project. Moreover, due to the fierce competitionin the global market, mass customization has become themainstream in the demand-driven environment which increases
the difficulties in the integration of heterogeneous information
systems. This research adopts a case study approach to examine
the business application integration processes in the
demand-driven environment and to identify potential solution in
the project. Specifically, this study proposes a reference frameworkof integrated application systems for production planning andshop-floor control, and discusses several implications of suchlarge-project implementation.

membership functions on one-against-one fuzzy support vector
machine are measured using the macro-average performanceindices. Analytical results indicate that the proposed method
achieves a comparable or better performance than the
one-against-one support vector machine.
Integration of RFID with Mobile Commerce for Consumer
MarketingCarman Ka Man Lee1, Stephen X.J. Chen1, C.A. Mitrea1
1Nanyang Technological University, Singapore

Mobile Commerce (M-Commerce) and Radio Frequency
Identification (RFID) are two major industries which everyone
recognizes their contribution at the overall world economy. In
order to have an integrated information system, the purpose ofthis paper is to integrate RFID technology with M-Commerce so as
to promote products and unique cross-selling to consumers,
which can transform a traditional retail industry to be more
effective in coping with market changes. A RFID prototype systemwith mobile capabilities is being designed in an integration
framework and a virtual retail store is being developed todemonstrate and enhances the feasibility of this convergence. The
proposed prototype is analyzed at all three functional levels:
Device, Application and Process. The significance of the paper isto provide a novel approach by incorporate RFID and data mining
technologies in M-Commerce for consumer marketing.
Component Based Design Data Version Management andVisualization in IMS-DATE

Data Mining for Managing Stock Keeping Units
Shieu-Hong Lin1
1Biola University, United States

Stock keeping units (SKUs) are compact identifiers representing
billable products in the inventory for sale. Merchants often assign
SKUs by transforming the text descriptions of the products
following various implicit SKU encoding schemes. In thetransformation process, the text description of a product isdivided into character blocks, some blocks are skipped, and theremaining are abbreviated and aligned into the SKU in a neworder. In this paper, we describe an instance-based data mining
approach for automatically (i) extracting likely underlying SKU
encoding schemes as explicit formal encoding and alignment
patterns, (ii) inferring a list of likely SKUs given the text
description of a new product, and (iii) inferring a list of likely text
descriptions given the SKU of a product with missing text
description. We have built a prototype system for testing on
real-world datasets, and the empirical results confirm theeffectiveness of the approach.
Research Into The Driver's Route Choice Under Existing
Real-Time Traffic Information
Yisong(Lydia) Zheng1, Qian Wang1, Ling Wang2, Mo Kuang3
1Nankai University, China
2China University of Political Science and Law, China
3Southwest Jiaotong University, China

The research of driver’s route choice behavior helps to increase
utility of existed route network (especially city traffic network),
and improve traffic conditions. From the point of macroscopic
view, through discussing the time evolution pattern of driver’s
route choice behavior with the influence of dynamic traffic
information upon the pattern, it is proved that the behavior ofroute choice is uncertain. So in designing traffic guiding system ortraffic information system, the influence of disturbing factor
should be taken into consideration to guarantee a balanced
dynamic traffic distribution of the system.
One-Against-One Fuzzy Support Vector Machine Text
Categorization Classifier
Huei-Min Chiang1, Tai-Yue Wang2
1National Cheng Kung University, Nan Jeon Institute of Technology, Taiwan
2National Cheng Kung University, Taiwan

The growth of the internet information delivery has madeautomatic text categorization essential. This investigation explores
the challenges of multi-class text categorization using
one-against-one fuzzy support vector machine with Reuter’s news
as the example data. The performances of four different

84

Dongliang Cui1, Guoqi Feng1
1Northeastern University, China

Complex product development is an interdisciplinary cooperative
process with the characteristics of enormous quantity ofengineering data, process uncertainty, frequent engineeringchanges and disturbances. Version management is a key part ofengineering data management for conserving the consistency ofdesign data and tracking engineering change orders. Therefore
comprehensive mechanism is required to handle large mount ofintermediate results in complex product design processes in orderto achieve efficient information and knowledge management. A
component based version management model across different
design projects is designed, which implements efficient design
processes and project data management in an integrated
management system for aerodynamic design of aero turbine
engine (IMS-DATE). Key version control technologies of version
merge and visualization are also discussed. The new version
model and related version control technologies proposed in thispaper can well satisfy the requirements of complex engineering
design projects and enhance design efficiency consequently.
A Closed-loop Engineering Approach for Modular Design
Based on Collaboration And Optimization
Yanqiu Xiao1, Qing Xue1, Aimin Wang1, Houfang Sun1, Guoxin Wang1
1Beijing Institute of Technology, China

A closed-loop modular design approach based on collaborationand optimization is presented. Aimed at improving the efficiencyof specific design and the evolution of family structure, theframework of process and techniques is rebuilt, and two
important links and their techniques are researched, including
collaborating among modules and optimizing of modular scheme.
To apply specification of product family and realize collaboration
among modules in synthesizing phase, a multi-view correlated
model is used to express modular family, and an integrated model
is given to combine it with the counterpart process model. Besides,
collaborative model and its strategies are built up. To resolve
conflicts and optimize family structure, an intelligent model isconstructed with resolution mechanism. Finally, a prototype
system of software was developed and applied in design of diesel
engine, which proved the effectiveness of this approach to support
collaborative modular design and scheme’s optimization
iteratively.

Session
Date
Time
Room

Poster Session 2
12/10/2008
10:30 - 11:00, 15:00 - 15:30
Venus 1Modeling a Combination of Projects Selection System- Using
the Mahalanobis Taguchi System
Ching-Lien Huang1, Chang-Lin Yang2, Tsung-Shin Hsu3, Chih-Ming Liu4
1Lunghwa University of Science and Technology, Tsing Hua University, Taiwan
2Fu Jen Catholic University, Taiwan
3National Taiwan University of Science and Technology, Taiwan
4Tsing Hua University, Taiwan

A combination of projects selection decision (PCSD) shows themain strategy of a company. Simultaneity, the utility of project
selection decision is assessed how individual project parameter
dimensions are selected and to identify the combination ofprojects architecture dimensions that are critical for a project
combine selection strategy system (PCSS). Conventional
researches in project selection decision system, which are focus oncomputing the present parameters not on searching for a suitable
pattern. These studies attempt to generate the optimal selection
rule. Nevertheless, studies which show in combination of projects
selection decision (CPSD) are scarce. From literatures finding that
the Mahalanobis-Taguchi System (MTS) algorithm is successful
and effective for data-mining pattern recognition. Therefore, thiswork presents the MTS algorithm, which offers to the new
application on combination of projects selections.
Optimization of Feature Weights and Number of Neighbors for
Analogy Based Cost Estimation in Software ProjectManagement
Yanfu Li1, M. Xie1, T. N. Goh1
1National University of Singapore, Singapore

Software cost estimation affects most activities of software project
development. In past decades, many methods have been proposedfor cost estimation. Analogy Based cost Estimation (ABE) is
among the most popular techniques due to its conceptual
simplicity and empirical competitiveness. In order to improve
ABE model, many previous studies have focused on optimizing
the feature weights in its similarity function. However, the K
number of nearest neighbors is also an essential parameter of ABE.
Nevertheless, few studies attempt to optimize K and most of them
are based on the trial-error scheme. In this study, we propose theGenetic Algorithm to simultaneously optimize K and the feature
weights for ABE (OKFWSABE). The proposed OKFWABE method
is validated on three real-world software engineering datasets.
The results show that our method could significantly improve theprediction accuracy of ABE and has the potential to become aneffective method for software cost estimation.
Business Engineering with Scenario Technique
Volker Grienitz1, Volker Blume1
1University of Siegen, Germany

Companies often find themselves confronted with complexity ofincreased pressure to ensure their competitive market position.
Business engineering should base on the anticipation of weak
future signals. The paper describes one approach to this issue –Scenario Technique. Scenario Technique is a special method tocatch future business opportunities and risks and allows to
involve workshop members, experts and in particular customers.
This paper explains two approaches – Scenario Workshops andScenario Projects - as ways of applying Scenario Technique. The
differentiation ensures that the right effort is done to answer theright questions. Both processes Scenario Workshop and Scenario
Project are illustrated by an example.
Six Sigma - An Innovative Approach For Waste Reduction: A
Case Study Of An Indian SME
Sunil Deshmukh1, Ramesh Lakhe2
1B.D. College of Engineering, Wardha, India
2Shreyas Quality Management System, India

This paper presents a case study aimed at reducing waste at an
SME engaged in manufacturing of corrugated boxes. The Define,Measure, Analyze, Improve, Control strategy of Six Sigma
methodology was followed to identify, probable causes for
wastages. After studying the system, and implementation of six
sigma tools, an overall 22.7% waste reduction was achieved.

Individually, out of a total seven processes, 5 showed waste
reduction in excess of 40%. This reduction was statisticallysignificant at P<0.05. The study confirmed successful
implementation of six sigma to minimize waste generation and interms saving in manufacturing costs or increasing the bottom line.
Effects of Heterogeneous Variance on Xbar Chart
Wichai Chattinnawat1
1Chiang Mai University, Thailand

This research investigated the performance of the chart when theheterogeneous variation occurs. Machines are regarded as anothersource of variations with an assumption that the expectation of thequality characteristics produced by each machine is normally
distributed. This study report the derivations of the computationof an effect of false alarm, and/or in different way the computationof an efficiency of Xbar chart in detecting change of process, due
to heterogeneous variation. This research study was divided into
two cases. If the extra variation is not accounted for during control
chart, only part of within variation is used, the misplace control
limits will be narrower since the variation are under-estimatedleading to significant false alarm rate. When the extra variation is
accounted for, the methodology to determine the control chart isprovided. The result shows that the probability of detection and
ARLs of the chart has increasing power of detection regardless ofthe sample size as the extra variation gets larger.
An Empirical Study on Total Quality Management in
Maintenance and Repair Workshops in India
V. K. Sahu1, Geeta Agnihotri1, C. M. Sadiwala2
1Maulana Azad National Institute of Technology, India
2Rajeev Gandhi Prodhogiki Mahavidyalaya, India

The paper presents the survey result and analysis of TQM
practices being followed by maintenance and repair workshops
which are raised to provide intimate maintenance and repair
support for wide variety of highly complex and sophisticatedequipment in the diverse terrain and weather conditions in India.
From an extensive review of total quality management literature,
the external and internal environment affecting organization’squality performance the ten primary elements of TQM are
identified. Thus the survey focused on nine critical factors(Organisational commitment, Human resource management,
Quality policy , Role of quality department, Quality Information
system, Operating procedures, Technology utilization, Supplierfocus, service design, and training) with 92 items comprehensive
instrument for explaining and predicting quality management
practices. This paper reveals that Indian repair workshops are
gearing up to respond fast to the growing awareness of theequipment users of high quality. It is accepted that
implementation of TQM philosophy is a must for its survivaland growth.
Propagation and Control of Quality in the Extended
Manufacturing Supply Chain: Theoretical Models,Methodologies and Implementation Perspectives
Marco Wibbelmann1, Kai Cheng2, Alistair Forbes3
1National Physical Laboratory, Brunel University, United Kingdom
2Brunel University, United Kingdom
3National Physical Laboratory, United Kingdom

Statistical quality and process control are integral to the
production process, ensuring continuous, in-control operations
and enquiring into the micro processes, structures and dimensions
that determine conformance. Quality management systems (QMS)
and inspection plans tend to be confined to the firm and do notaccount for external processes. In recent years a shift towardsupply chain (SC) dominated thought has pervaded many areas ofmanu-facturing well beyond the traditional purchasing andlogistics functions. This shift in focus opens interesting avenues
for investigation in the domain of quality control, particularly
with regard to design of quality measurement systems that
integrate across the distributed production network. The present
paper asks how quality propagates through the SC and proposes amodel for the design of a distributed QMS that facilitatestraceability, optimisation and quality assurance. We discuss how
design parameters and cross boundary integration affect process
output and other per-formance measures, and the use of
uncertainty in strategy building.

85

Study on Testing Strategies for Standby Systems
Min Wang1, Mingchih Chen1
1Chaoyang University of Technology, Taiwan

Surveillance test schedule has been studies to increase standby
system unavailability and keep plant safety. In earlier research,
testing strategies, such as simultaneous or uniformly staggered
testing, have been applied for simpler standby systems and the
optimal test interval can then be obtained. For more complex
systems, the best testing schedules were obtained by comparing
the performance of pre-specified testing policies by using
computer software or simulation. In this study, we provide somesuggestions for building up testing strategies for complex systems
to maximize system availability.
Dynamic Process of Information Distribution in Metro
Emergency Management Network
Chunmei Han1, Wenping Wang2
1Southeast University, Nanjing Metro Science & Technology Consultation Co., Ltd,
China
2Southeast University, China

Metro emergency management (MEM) is a kind of systemic andcomplex work and it needs synergic supports from all kinds oforganizations, the links between which are the distribution of
information. In this paper, the dynamic process of information
distribution in MEM network was analyzed by using the theory ofsocial network. The differential model of information distribution
was put forward and the parameters related to the efficiency of
distribution were presented and analyzed with numericalsimulation. The research results indicated that the dynamic
process of information distribution in the network is of great
importance for the emergency management.

The Research of Noise Induced Tympanic Membrane
Perforation in Cotton Textile Industry
Shiqiang Wang1, Ruixiang Song1, Kun Yao1, Yu Wang1
1Beijing Municipal Institute of Labor Protection, China

Objective: To explore the influence of industrial noise to workers’
tympanic membrane. Methods： The collected data are divided
into different groups in accordance with the purpose of theanalysis, and then find out the difference by contrast withdifferent groups. Results： The incident rate of hearing loss is
10.91% and the incident rate of tympanic membrane is 0.53%, andthe incident rate of male and female tympanic membrane
perforation is 0.32% and 0.21% respectively. Conclusion ：High-intensity industrial noise can chronically perforate workers’
tympanic membrane.
Multi-Hierarchy and Fine-Grained Task-role-based AccessControl in Collaborative Environments
Junqing Li1, Xinyou Li2, Shengxian Xie1, Chen Chen2, Guangliang Liu1, Yuxia
Pan1
1Liaocheng University, China
2Information Security Research and Services Center, China

This paper presents a novel multi-hierarchy and task-role based
access control model named H-TRBAC. In the model, we create
two multi-hierarchical sets, i.e., a role set and a task set. In the taskhierarchy, a task may have some partial ordering relationships
with other tasks. A task can not be scheduled until its entire
ancestors are completed. It is the task‘s duty to select necessary
roles and permissions and assign a proper permission to a suitablerole. The assignment process will be done only when the task isrun, and permissions will be revoked just after the task turns toother states. At last, we give all the necessary operational
functions to describe the structure of H-TRBAC, and detailed
comparisons among our model and others are also given.

Simulation-based FDP & FCP Analysis with Queueing Models
Qingpei Hu1, Rui Peng2, Szu Hui Ng2, Huaiqing Wang1
1City University of Hong Kong, Hong Kong
2National University of Singapore, Singapore

Continuous efforts have been devoted to software reliability
modeling evolution over the past decades in order to adapt to thepractical complex software testing environments. Many models
have been proposed to describe the software fault related process.
These software reliability growth models (SRGMs) have evolved
from describing one fault detection process (FDP) into
incorporating fault correction process (FCP) as well, in order toprovide higher accuracy with more information. To provide
mathematical tractability, models need to have closed form, withrestrictive assumptions in a narrow sense. This in turn confines
their capability for general applications. Alternatively, in thispaper a general simulation based queueing modeling framework
is proposed to describe FDP and FCP, with resource factors frompractical software testing incorporated. Good simulation
performance is observed with a numerical example. Furthermore,release time and debugger staffing issues are investigated with arevised cost model. The analysis is conducted through asimulation optimization approach.
Adoption of Iris-Based Authentication
Shahriar Mohammadi1, Arman Kaldi1
1K. N. Toosi University of Technology, IranEven though iris-based systems have proven to be very promisingin a world where security is crucial, surprisingly enough, thismeans of authentication has not been given a very warm welcome
from the users. In order to appropriately confront this issue,
critical success factors of the deployment of networked-based
systems for iris authentication - namely technical, human, andimplementation aspects, as well as necessary policies andstandards - need to be carefully considered. One of the major
success factors is the adoption issue concerning this relatively newtechnology. The decision to adopt iris-based authentication is
influenced by many factors, including user characteristics, social
factors, and technology characteristics. Addressing these key
factors is extremely valuable for the successful implementation ofiris-based technology.

86

Research of Evaluating Credit-Risk in Power Enterprise Basedon SVM and VIKOR Method
Yuansheng Huang1, Ying Yan1
1North China Electric Power University, China

Some clients are in arrears with a great amount of electricity
charges in operation of power system, which has seriously
hindered the healthy development of Electric Industry. Evaluationof clients’ credit is an important problem of management in Power
Supply Enterprises.
Considering the training time and the accuracy, a newalgorithm based on Support Vector Machine (SVM) and VIKOR
method is adopted to solve this problem. Support Vector Machine(SVM) was proposed to solve the small sample learning problem.
VIKOR method was developed to solve decision problems withconflicting and with different units criteria.
Finally, an application example has been given to test thefeasibility and effectiveness of the proposed method.
The Empirical Impact Analysis of Technical Barrier of Trade(TBT) to China’s Vegetable Export to Japan
Shuang Li1, Xiangyu Guo1, Wei Qian1
1Northeast Agricultural University, China

Vegetable is an important agricultural export product of China.
Japan is the one of main export countries of Chinese vegetabletrade Over the past few years, the Technical Barrier Trade becomesthe main reason to prevent our agricultural products from theexports to Japan. The paper employs the gravity model to do anempirical analysis using the data of Japan and Chinese from 2003
to 2006, then applies to Chinese vegetable exports trade and puts
forward some policy suggestions. The domestic manufacturesneed to raise product quality as much as possible, and thegovernment also needs to work out quality standard beneficial toprotecting consumer actively. The higher the standard of China,
the closer the Chinese standard with import countries, the more
can China promote export.

The Market Entry/Exit Model on the Free Internet Service Firm
Tyrone T. Lin1, Hai-Ling Kang1
1National Dong Hwa University, Taiwan

This study utilizes the real options approach to construct theinvesting (disinvesting) decision model on free internet service.
Two firm values of the internet service industry include the cash
flows from the usage of free software and the potential value ofentering (exiting from) the market so as to evaluate the firm value.
Business Transformation of SMEs from "Product Supplier" to"Value Provider" Supported by an Extended Product Business
Model
Kim Jansson1, J. Hemilä1
1Technical Research Centre of Finland, Finland

The transition from "product supplier" to "value provider" can beseen as the most relevant challenge for industrial enterprises. New
integrated product and service approaches are needed to enable
this paradigm shift. The extended product represents an
integrated approach for tangible products and intangible productassets. The paper presents a structure and an abstract conceptualmodel that represents the business and money-earning logic of acompany based on the extended products paradigm.
The
intention of this paper is to encourage adoption of the extended
product model and to motivate the transition process fromproduct supplier to value creation provider within traditional
manufacturing SMEs. An extended product model and module isintroduced. Using a well-known business model the paper
proposes the extended product business model ontology as avehicle for SMEs to create viable business from service offerings.
Comparison and Modification of Customer Satisfaction Indexes
Te- King Chien1, Wei-Cai Jheng1, W.L. Lai2
1National Formosa University, Taiwan
2Takming University of Science and Technology, Taiwan

Customer satisfaction can present customer demand orientations
and serve as an indicator of competitive advantage. However, it
has been discovered that there are a total of eight satisfaction
indexes available. Although each of them is valuable forapplication, decision-makers are still unable to select anappropriate index to improve specific quality attributes of certain
products. Therefore, this study aims to develop a modificationindex to rectify the meaning of satisfaction measurement andenhance accuracy. The results show that the improvement
priorities derived with the proposed index can not only satisfy
various theories proposed by previous researchers but alsopresent better reliability compared with the eight extant indexes.
In practical applications, the proposed decision diagram candemonstrate the improvement priority of each item and also assist
decision-makers in the choice of improvement directions. Overall,compared with the extant eight indexes, the proposed new index
has a higher application value.
Mapping TQM-Innovation Relationship on Learning
Organization: A Strategic Management Perspective
Wen-Jung Chang1, Shu-Hsien Liao1, Christina Tay2, Chi-Chuan Wu1
1Tamkang University, Taiwan
2National Chengchi University, Taiwan

It is true that the only constant thing in life is continuously
changing. Managing change is high priority for continuing
education institutes (CEIs), one of knowledge intensive industry(KII) in Taiwan, coping simultaneously with diversified market
needs and limited resources. In today’s business environment,‘quality’ and ‘innovation’ are regarded as key resource ofcompetitiveness. However, past researches related to
TQM-innovation
relationshiplargely
focusedonthemanufacturing and the services. Besides, they have oversimplified
the contextual effects that might bring biased conclusions. In aword, there probably exists a missing linkage somewhere in theso-called ‘environment-strategy-performance’ (ESP) chain.
Therefore, this study proposes a strategic model named ‘ESCAPE’
by modifying the original ESP model to explore the potential gap
within the context. After examining the ESCAPE model, this study
argues that a learning organization will be the best solution for KII
to bridge the gap.

Research on Supply Chain Cost Reduction Based on Process andTime Analysis
Taoyong Su1, Xinghui Lei1
1Tongji University, China

With increasingly intense competition many companies haveextended the scope of their cost management activities acrossorganizational boundaries. Supply chain cost reduction becomes a
new source of achieving competitive advantage. Althoughinterests in reducing supply chain cost are growing, few
researches have been directed towards a systematic developmentof supply chain cost reduction. To reduce supply chain cost, firstly
the structure of which should be seen clearly. This study analyzes
the supply chain processes and supply chain time, identifies thecomponents of supply chain cost and how these costs occur andbe influenced. Based on the analysis and integrating previous
research findings, this paper presents a theoretical model, which
provides the foundation and specific techniques for cost reduction
in supply chain.
Optimal Outbound Dispatching Policy with Pricing
Ki-sung Hong1, Chulung Lee1
1Korea University, South Korea

Under a VMI(Vendor Managed Inventory) system, the vendor
holds a certain level of control over not only inboundreplenishment decisions on stocking but also outbound re-supply
decisions. Hence, vendor faces a better opportunity to synchronize
the inventory and transportation decision. While shipment
consolidation can reduce the transportation cost, however,delivery time to the customer may increase. Thus, inventory andtransportation decision must be coordinated considering bothcustomer service requirement and transportation cost. In thisstudy, we have developed an optimal outbound dispatch policy tomaximize profits under a quantity based dispatching policy. A
mathematical model is developed and an efficient algorithm isprovided to obtain the optimal parameters for the proposed
policy.
A Multi-Objective Reverse Logistics Network for Product
Returns
Chien-Chung Lo1, Hsin Min Chen1, Haw-Lieng Huang1
1National United University, Taiwan

Product return network design usually may involve
multi-objective decision making, for example total reverse logistics
costs, loads balance for product return operations on productcollection points and the convenience of customers who return
products, etc. In this study, a fuzzy multi-objective reverse
logistics network for product returns is developed. The goal of the
proposed model is to determine the optimal number and locationof initial collection points for returned products and thelocation/allocation of centralized return centers. We employ aweighted max-min approach for fuzzy goal programming toformulate the multi-objective product return system. A soft
computing, differential evolution (DE) is proposed to solve theproblem. We show that the solution derived from the fuzzy
method satisfies the decision maker’s desirable achievement levelof the objectives. A case example is presented to illustrate themodel implementation.
Study on the Collaborative Production Systematic Platform for
Chinese Automobile Manufacturing Supply-demand Network
Zhaofang Mao1, Ershi Qi2, Xiaomei Li1, Fu Jia3
1Tianjin University Science Park, Tianjin University, China
2Tianjin University, China
3Cranfield University, United Kingdom

Nowadays, more and more Chinese automobile enterprises
realized that to be the winner of the marketing competition, allmember enterprises should cooperate to pursue the maximum
integral profit to realize the long-term sustained development of
their SDN (Supply-demand Network), instead of seeking theirown maximum profits. Manufacturing process, which is related to
the whole product lifecycle from product design, production
arrangement, order confirmation, production plan work out andoptimization, production dispatch, manufacturing implement toautomobile product delivery to their customers, even including
the product guarantee period, is the most important and complex
part of the whole automobile SDN. On the basis of systematic87

investigation of several automobile manufacturing enterprises,
this paper builds up an systematical frame composed of suchfunctional modules as technology planning, flexible production
plan, manufacturing implement and optimization, production
dispatch and process control, which provide the platform torealize the “flexibility” allocation on coordinated manufacturingsystem.
System Modeling and Simulation of Order Processing Based on
Extend TechniqueYeqing Jia1, Xiaoxiao Jia2
1Southeast University, China
2University of Arkansas, United States

As a crucial and critical aspect of the third parties operation, orderprocessing determinates the performance of the service. Thissituation sheds a light to the importance of order processing. After
analyzing the processing flow, this paper proffer a discrete systemmodel and imitate this model via deploying Extend simulation
software, on the basis of which several defined approaches are
figured out. By the same token, compare the baseline case with
polished programs to incarnate the advantages of the later ones.
Profit-sharing Mechanisms for the Production-Distribution
Alliance
Hsin Min Chen1, Haw-Lieng Huang1, Chien-Chung Lo1
1National United University, Taiwan

Profit-sharing is one of the most important coordinating
mechanisms for successful operating a production-distribution
alliance. This paper provides the alliance with single producer andmulti-distributor
twoprofit-sharing
mechanisms:(1)
profit-sharing based upon operating costs and (2) profit-sharing
based upon average efficiency by data envelopment analysis(DEA). Operating costs for each member in the alliance can beobtained by robust accounting system. Average efficiency among
members in the alliance can be measured by many methods; wemeasure the member’s efficiency by using the standard DEA
model is only a particular example in this mechanism. The
cost-based mechanism is advantageous to manufacturer who
having huge cost in their facilities. In contrast, the efficiency-based
mechanism, in which more cost brings lower efficiency, isdisadvantageous to manufacturer. The cost-based mechanism
indicates that more cost is occurred more profit is shared.
However, such a mechanism is less helpful than efficiency-based
mechanism in cost down efforts for continuous improvement. The
proposed study is illustrated with a numerical example.
A Study on the Inventory and Pricing Model for Reverse
Logistics: An Application on Reuse of Refillable Containers
Haw-Lieng Huang1, Hsin Min Chen1, Chien-Chung Lo1
1National United University, Taiwan

Enterprises apply reverse logistics through recycling, repairing,and remanufacturing used products into usable conditions to
reduce the quantity of materials consumed and to achieve waste
reduction for the environment. Hence, this paper concentrates on
the recycling process of refillable containers, and proposes aninventory and pricing model to analyze the inventory levels,
procurement lot-size, and the product pricing policy for recycled
products. In addition, this study further develops an efficient
iterative algorithm to simultaneously search for the optimal
solution for the common cycle, procurement runs, and the productpricing, so as to maximize the profit of the manufacturer
providing refillable products. The sensitivity analysis reveals thatthe fluctuation of the price discount of the returned productslightly affects the optimal price of the finished product and the
optimal length of the common cycle, while it significantly
influences the business profit generated from the reverse logistics
process.

88

Wealth Effect of Technological Innovations on Supply Chains:
An Event Study
Chao-Chen Hsieh1, Jun-Zhi Chiu2
1National Cheng Kung University, Kao Fong College, Taiwan
2I-Shou University, Kao Fong College, Taiwan

The study conducted by the authors analyzed economic
parameters related to the supply chain, in other words, test thewealth impact of the foundry that announce technology
innovations (TI). And further, two key topics are including: thefirst one is the immediate impact of TI on the foundry’s return on
stock price, and the second one is its subsequent impacts on its
partners on the supply chain. The results indicate that theimmediate impacts of TI on foundry’s return on stock price. As
well as, on average, announcements of technology innovation areassociated with positive excess returns. And the economic worth
impacts had a relatively short time interval which is from (-10; 10)
to (-2; 2) due to the technology transience over the industry.
Modelling for Dynamic Simulation of Pretreatment in Reverse
Osmosis Plants
S. Syafiie1, Fernando Tadeo2, Luis Palacin1, Cesar de Prada2, Johanna Salazar1
1Centro de Tecnologia Azucarera, Spain
2University of Valladolid, Spain

The development of mathematical dynamical models of the
pretreatment process in Reverse Osmosis plants is presented. The
objective is to use the models for testing and comparison ofcontrol strategies in Reverse Osmosis plants. Thus, these models
have been developed to implement them using off-the-shelf
software (EcoSimPro), so that advanced control algorithms can beeasily tested. During modeling, the parameters are selected to be
simple to obtain from available plant measurements.
The Impact of ERP Implementation on Corporate SCM
Performance: from an Operational and Information Integration
Perspective
Chyan Yang1, Yi-fen Su2
1National Chiao Tung University, Taiwan
2National Chiao Tung University, Minghsin University of Science and Technology,
TaiwanIncreasing global cooperation and a focus on core activities have
led to the notion that firms are links in a networked supply chain.
Incorporating enterprise resource planning (ERP) system insupply chain management (SCM) is supposed to further enhancethe effectiveness of delivery scheduling, inventory control, andincrease distribution productivity among channel members. This
article is, from operational and information integration
perspective, to provide further insights into the relationship of
implementation of ERP systems and the impacts on firmcompetence in SCM. A conceptual framework is proposed. The
framework is featuring the ERP benefits and SCM competences.
We apply structural equation model (SEM) to discover important
ERP attributes leading to the success of supply chain performance.
The results provide empirical evidence that the beneficial impacts
of ERP on the supply chain do lead to better overall SCM
competence and performance.
The Study on the Development of Inland-River Container
Transportation Corridor of Yangshan Deepwater PortXu Zhao1, Weijun Fei1, Weihong Zou1
1Dalian Maritime University, China

Inland river shipping is one of the chief means of comprehensive
transport network, and the inland river corridor, connecting toharbor port, is an important part of port transport system.
Shanghai Port, the biggest comprehensive port and container port
in China, is a typical hinterland-mode hub port, and its containertransport system does a lot to the development of it. After
Yangshan Deepwater Port Area phase-I and phase-II have been
put in use, Shanghai Port has deep-water channel and berth of
more than minus 15m. According to the transportation status quoof Yangshan Deepwater Port, this paper establishes Yangtze Riverand inland-River container transportation corridor programming
model of Yangshan Deepwater, puts forward containertransportation corridor programming plan, and relevant policy
measures and suggestions.

The Study on Empty Containers Allocation in the Container
Transportation

Concept Selection for Market Potential Using Fuzzy Selection
Approach

Ran Wang1, Xu Zhao1, Wenhao Yu1, Weihong Zou1
1Dalian Maritime University, China

Wen Feng Lu1, Jie Sun1, Han Tong Loh1, C. W. Chua1
1National University of Singapore, Singapore

This article makes a systematical description to the process of
empty containers allocation, explains the subjective and objective
reason which causes the empty container allocation, thecharacteristic of empty container allocation and the question
which exists in the practice and the actual operation of containertransportation, analyzes the goal and the major effect factors ofempty containers allocation. Then considering the kinds of factors
which affect the allocation of empty containers, the article
establishes a liner programming model which not only accord
with the characteristics of empty container allocation ,but also
very easy to apply to shipping practice, and carry on a calculation
and analysis to the liner programming model. Finally, in view of
the reasons which cause allocation of empty container, put
forwards several countermeasures to reduce the cost of empty
container allocation.

One of the biggest challenges in product development is to selectthe product concept with the best market potential. In this work, aselection methodology is developed utilising fuzzy logic. It is anamalgamation of Pugh matrix and utility scoring approach, withthe crisp numerical weights and comparison ratings replaced bylinguistic fuzzy functions. Experimental results show that the
proposed method can effectively perform concept selection in
product development process. This method has the potential toidentify the strengths and weaknesses of a few candidate concepts
and consider the possibility of adopting the strong aspects andimproving on the poor ones.

Critical Factors for SMEs Innovation Performance in Innovation
Networks
Jin Chen1, Xiangzhen Yu1, Wangfang Li1, Xiaozhou Fu1
1Zhejiang University, China

This paper studies the critical factors that SMEs should pay
attention to when they managed their innovation networks to
improve their innovation competences. We investigated 105 SMEs
distributed in different industries with most of them inmanufacture industry and got 204 valid questionnaires. The
survey results show that there are 4 factors which influence SMEs
innovation performance, i.e. partner selection, trust, CEO’scommitment, and information technology. In these four factors,
trust is the most important factor followed by partner selection.
The Study of SVM Optimized by Culture Particle Swarm
Optimization on Predicting Financial Distress
Jianguo Zhou1, Tao Bai1, Jiming Tian1, Aiguang Zhang1
1North China Electric Power University, China

In this paper, we applied Culture Particle Swarm Optimization
algorithm (CPSO) to optimize the parameters of SVM. Utilizing
the colony aptitude of particle swarm and the ability of conserving
the evolving knowledge of the culture algorithm, this CPSO
algorithm constructed the population space based on particle
swarm and the knowledge space. The two spaces evolved
independently, at the same time, the population spacecontinuously transferred the evolving knowledge to theknowledge space, and then the knowledge space to achieve global
optimization. Additionally, the proposed CPSO-SVM model was
test on the prediction of financial distress of listed companies in
China. Then we compared the accuracies of CPSO-SVM with othermodels (Standard SVM, PSO-SVM and PSO-BPN). Experimental
results showed that CPSO-SVM performed the best prediction
accuracy and generalization.
Cooperative Stock Document Mortgage Financing Game underInhouse Consignment Structure
Yuanyuan Zhang1
1China University of Petroleum at Beijing, China

At present, the bank is facing a challenging design problem ofcredit contract based on inventory financing. The paper studies
credit contracts based on stock document mortgage with two
risk-neutral gamers under the outsource structure of inhouseconsignment. The model includes the case of a bank offering loan
to a cooperative retailer who mortgages its inventory to the bank
to finance more inventory. The retailer faces a random demand ina single sales season as in the classical newsvendor problem. By
game theorem, the paper gives the optimal loan to value toretailers with different initial capital in the case that the salvage
price is smaller than the storage cost. We show the wholesale price,
the storage cost and the salvage price have influence tobankruptcy risk and loan to value, as well as the initial capital.
Finally, based on our model analysis, we give some advices.

89Session
Date
Time
Room
ChairsSystems Modeling and Simulation 2
12/11/2008
09:00 - 10:30
Venus 2
Krishnaswami Srihari, Sridharan R

Optimizing the Selection of Product Recovery Options
Hendrik Lamsali1, Jiyin Liu1
1Loughborough University, United Kingdom

This paper investigates the problem of optimizing productrecovery options within the reverse logistic context. A linear
programming model is developed to find optimal allocation of
returned products in different quality classes to certain recovery
options. The objective is to maximize the profit. Qualities andquantities of returned products, demands and prices of therecovered products, costs for recovery are all considered in themodel. The model is used to examine the effects of flexibility inproduct recovery allocation. Computation results show thatflexible allocation between the returned products in different
quality classes and the recovery options are beneficial.
Evaluating the Layout of the Emergency Department of a Public
Hospital Using Computer Simulation Modeling: A Case Study
Mohammad Khadem1, Hamdi Bashir1, Yasin Al-Lawati1, Fatma Al-Azri1
1Sultan Qaboos University, Oman

Facilities layout represents one of the most significant
opportunities for expanding and improving the performance ofany system including healthcare. This paper reports on work doneto evaluate a revised layout of the emergency department of apublic hospital. The objectives of revising the layout were: 1)
improving patient satisfaction through minimizing patient
waiting time, and 2) expanding the capacity of the department.
Medmodel was selected as a simulation tool for modeling andsimulating both the existing the revised layouts. The results
showed that by implementing the revised layout, the average
waiting time of a certain category of patients reduced 75% and thecapacity of the department increased 10% per month.
Kriging Model with Modified Nugget Effect for Random
Simulation with Heterogeneous Variances
Jun Yin1, Szu Hui Ng1, Kien Ming Ng1
1National University of Singapore, Singapore

Random simulation with heterogeneous variance is a common
phenomenon in real-world simulation cases. Most of the current
meta-models assume homogeneous variances and hence areunable to provide satisfactory estimations of these models. This
article presents a new kriging model with modified nugget effect,
which accounts for heterogeneous variances in simulations. The
new model can reduce the influence of noise with heterogeneous
variance by incorporating local variance information into themodel. A theoretical explanation and numerical experiment will
be shown to provide clear illustration of this new modified model.

90

Organisational Readiness and Its Impact on ERP Acquisition: A
Longitudinal Study of an Indian Dairy Processing Unit
Harekrishna Misra1
1Institute of Rural Management Anand, India

ERP Systems acquisition is an organisational issue since it brings
in a new environment. This not only changes the way process ishandled (process re-engineering), but also influences theorganisation’s culture and people. ERP imposes technology-driven
environment with an aim to enhance process productivity,
information integration and user interfaces. Research indicatesmany ERP projects still “fail to deliver” results due toorganisational complexities instead of commonly perceived
technology dimensions. In this paper a framework is discussed tounderstand the “readiness” in an organisation. An ERP acquisitionis said to be successful if it is put to effective use and benefits areachieved as expected. Organisation’s “readiness” is essential tomanage these issues and the “readiness” should be well planned
before initiation of ERP systems acquisition. The framework is
applied to a dairy processing unit over a period of time during
which ERP system was acquired and impact of “readiness” isobserved.
Monsoon Risks for Construction Sites in India
Himadri Guha1, Partha Pratim Biswas1
1Jadavpur University, India

Monsoon is a major weather phenomenon and has a substantial
impact on construction activities in India. In this paper an attempt
has been made in developing a frame work for objective
assessment of the impacts of monsoon for building works.
A
study has been made for a housing project which were at various
stages of constructions during the monsoon. Time and cost data
were collected from the contractor. Extra time for items likefoundations which are sensitive to monsoon are assessed withreference to the existing weather records. Monte Carlos
simulations were conducted to assess the impacts of time and costthat could be attributed to monsoon. It has been found that themonsoon has increased the project duration by about 5 % andthe cost by 12 %. The study indicates that specific planning formonsoon impact for each project is a worthwhile proposition incities like Kolkata, India
Formulation of the Size and Position of Spiral Cooling Channel
in Plastic Injection Mold Based on Fluent Simulation Results
Ir Fauzun1, M. Hamdi2, A. E. Tontowi3, T. Ariga4
1University of Malaya, Gadjah Mada University, Malaysia
2University of Malaya, Malaysia
3Gadjah Mada University, Indonesia
4Tokai University, Japan

This paper presents a formula based on simulation results using
Fluent software to determine the size and position of a spiralcooling channel in a plastic injection mold that yields the
maximum effect on the ratio of product cooling rates and coolant
pumping energy (CR/PE). In this formulation, there are 5
simulation steps performed: Re, Ac/Ap, Lc/Lp, rca/rp and kmold.
The formula was developed by doing a step-by-step optimization
using the CR/PE parameter on the simulation results byconsidering uniformity of product temperature during cooling (U).
By performing mathematical processing on the optimization
results, we obtained a targeted formula with product dimension
and mold thermal conductivity as entry variables. The validity of
the formula is supported by the fact that it was developed fromsimulation results that have fulfilled convergence criterion, a highpercentage correction factor (above 97%) for all interpolations
performed and a good level (approximately 96%) in theuniformity.

Session
Date
Time
Room
ChairsSystems Modeling and Simulation 3
12/11/2008
11:00 - 12:30
Venus 2Harekrishna Misra, Szu Hui Ng

Optimization of Operator Allocation in a Large Multi Product
Assembly Shop through Integrated Computer Simulation and
Genetic Algorithm
Ali Azadeh1, Vahid Ebrahimipour1, Sahar Tadayon1
1University of Tehran, IranThis study presents an integrated computer simulation andgenetic algorithm for optimizing operator allocation in someworkstations to maximize production throughput in a large multi
product assembly shop .At first, computer simulation is used as
an exquisite tool for modeling and analyzing the true performanceof the system. Then, Genetic Algorithm (GA) is used to maximize
throughput of the system. In the other words, optimal number ofsub-station operators is found using GA such that the throughput
is maximized. The results show that for having the maximum
throughput we must allocate 4, 2, 3 and 3 operators to stations 11,
12, 13 and 15, respectively. We achieve the result with lessfrequency by integrating GA and computer simulation. The resultsof this study shows that the integrated GA simulation is ideal tobe applied for problems with several numbers of parameters andvariables and complex objective function.
The Impact of Storage Block Assignment for Import Containers
on Agv Dispatching in Highly Automated Seaport Container
Terminals
Rico Gujjula1, Hans-Otto Günther1
1Berlin Institute of Technology, Germany

In automated seaport container terminals like the CTA in
Hamburg or the ECT in Rotterdam automated guided vehicles(AGV) are used to transport containers from quayside to yard andvice versa. The assignment of AGVs to transportation jobs, theso-called AGV dispatching, is one of the key problems in quaysidetransportation logistics. The impact of storage block assignment
on AGV dispatching has been neglected so far in the literature. In
this paper this impact is analyzed by means of simulation. It canbe shown with the help of three storage block assignment
strategies that the impact depends on congestion at the storage
blocks and AGV travel time.

Development and Application of a Metaheuristic Optimization
Procedure Integrated with Simulation for a Bus Transit System
Omar Bataineh1, Hamzeh Abdulla1, Ahlam Abu-Saif1
1Jordan University of Science and Technology, Jordan

A metaheuristic optimization procedure integrated with discrete
event simulation (DES) is proposed in this work for improving theperformance of transit systems typically characterized with long
delays and low efficiency. The procedure is applied to theoperation of the bus fleet owned by Al–Oroba Transportation
Company in Amman, Jordan as a case study. The actual fleet
operation is modeled and simulated using ARENA® software.
Two key performance indicators (KPIs) are defined to validate thedeveloped model and to characterize system performance; namely
the bus activity ratio (BAR) and the average waiting time in thequeue (AWT). Improvement in system performance was achievedby proposing new operation policies and optimizing the numberof buses and ticket cashiers in the system subject to boundconstraints. Aiming at maximizing the net profit, an optimal
solution was reached at a total number of buses of 28 and one
ticket cashier in the system. Simulation values of BAR and AWTparameters were improved by as much as +88.9% and -35.6%,
respectively, compared to the actual system.
Performance of a Flexible Manufacturing System Operating
Under Part Movement Policy and Tool Movement Policy:
Simulation Modelling and Analysis
Suresh Kumar N.1, R. Sridharan1
1National Institute of Technology Calicut, India

This paper focuses on the simulation studies conducted toevaluate the performance of a flexible manufacturing system (FMS)
operating under two different scenarios: part movement policy
and tool movement policy. A typical configuration of FMS isconsidered for the purpose of experimentation. A discrete-event
simulation model of the FMS is developed for each of the two
scenarios. A number of scheduling rules are incorporated in thesimulation model for part scheduling decision. The performancemeasures considered are mean flow time, mean tardiness,
percentage of tardy parts and mean utilization of machines. The
simulation results are subjected to statistical analysis. For the FMS
considered in the present study, tool movement policy is found to
perform significantly better when compared with the partmovement policy.

Effect of Part Launching Decisions on the Performance of a
Flexible Manufacturing System: A Simulation Study
O.A. Joseph1, R. Sridharan1
1National Institute of Technology Calicut, India

This paper investigates the effect of various part launchingdecisions on the performance of a Flexible Manufacturing System(FMS). A typical FMS configuration has been developed for the
purpose of experimentation. The parts to be processed in thesystem are known at the beginning of the scheduling period. Each
operation of a part type can be performed on one or two (primaryand secondary) or three (primary, secondary and tertiary)different machines depending on the routing flexibility level
present in the system.. Different levels of penalties (increased
processing times) are considered for the alternative machines. A
discrete-event simulation model is developed. The schedulingdecisions considered are launching of parts into the system (partlaunching decision), routing of parts through various machines(part routing decision) and sequencing of parts for processing on
machines (part sequencing decision). These decisions are handled
by using various scheduling rules. The performance of the FMS isevaluated by using measures such as mean flow time, mean
tardiness, makespan and mean machine utilization.

91

Session
Date
Time
Room
Chairs

Project Management 2
12/11/2008
09:00 - 10:30
Jupiter 1
Ronald Beckett, Volker Grienitz

Project Management Trends in IS Development: A Study of the
IT Sector in China
Younes Benslimane1, Zijiang Yang1
1York University, Canada

Focusing on formal project management initiatives (PMIs) in theinformation technology (IT) sector in China, this paper firstexamines possible differences in perception about such PMIs
between IT professionals who were exposed to theirimplementation and those who weren’t. This part of theinvestigation is based on an adaptation of Rogers’ theory ofdiffusion of innovations. Second, this paper examines theimplementation of PMIs and their possible effect on IT projects.
This part of the investigation focuses on “inside” project
management risks and performance. Findings from a survey of 82
senior IT professionals show some differences in perception
between the two groups of respondents. Findings show also thatorganizations that have implemented PMIs tended to better
control the “inside” risks related to the management of IT projects
and to report higher performance levels on such projects. The
implications for research and practice are discussed.
A Royalty Negotiation Model for BOT Projects: A Bi-level
Programming Approach
Chao-Chung Kang1, Cheng-Min Feng2, Chiu-Yen Kuo2
1Providence University, Taiwan
2National Chiao Tung University, Taiwan

This study develops the royalty negotiation model of BOT (Build,
operate, and transfer) projects for government and private sector
by Bi-level programming approach. There were few studies to
explore the royalty negotiation about BOT projects; however, theroyalty negotiation is one of many critical negotiation items ofconcession contract. This study not only develops royalty
negotiation model for BOT projects, but also develops theheuristic algorithm for the Bi-level programming problem. The
factors of concession rate, time value discount, learn rate andnumber of negotiation are incorporated into this algorithm. In
addition, this paper conducted a case study with the Taipei Port
Container Logistic BOT Project by the LINGO and MATLAB
programming. Results show that two parties finish the royalty
negotiation at the 6th negotiation and the profit index ofconcessionaire is 1.0621; the government finance recovery rate is
11.689. Therefore, the royalty negotiation model herein developed
could be applied to explain the negotiation behavior.
Fuzzy Group Decision Making: A Case Using FTOPSIS in Mega
Project Risk Identification and Analysis Concurrently
S. M. H. Mojtahedi1, S. M. Mousavi1, A. Aminian2
1Islamic Azad University South Tehran Branch, Iran
2Islamic Azad University Gachsaran Branch, IranThis study aims at improving the quality and effectiveness ofdecision making in project risk management. Conventional
approaches to risk identification and risk assessment separately
tend to be less effective in dealing with the imprecise of the risk
assessment individually. In order to solve this problem, project
manager need to evaluate their problem including bothquantitative and qualitative criteria and to make accurate
decisions. For this reason, a systematic decision process for
identifying and analyzing risks concurrently by applying Multi
Attribute Group Decision Making (MAGDM) in fuzzyenvironment is proposed. The paper introduces a new procedure
for classifying potential risks. Obtained results have been applied
in one mega project successfully.

92

An Incremental Approach for Temporal Analysis in Networks
with Imprecise Activity and Time Lag Durations
Siamak Haji Yakhchali1, Hassan Ghodsipour1, S. M. T. Fatemi Ghomi1
1Amirkabir University of Technology, IranThis paper proposes algorithms for computing the possible valuesof the latest starting times and maximal floats in a network withimprecise activity and time lag durations, represented by means ofinterval or fuzzy numbers. Although these problems have beensolved when the activity durations are imprecise, we propose
polynomial algorithms which can handle the imprecision in timelags of the precedence relations and are simpler than thepreviously algorithms. Inserting the imprecise time lags in the
network leads the proposed algorithms to be more practical. After
positioning this paper in the scope of project scheduling under
uncertainty, the algorithms for computing of the interval value oflatest starting times and maximal floats of activities in networks
with interval activity and time lag durations are proposed. Then,the interval activity and time lag durations are generalized into
fuzzy numbers.
Hybrid Management Model Combining Process Management
and Project Management in Local Administration
Manuel Monterrey1, David de la Fuente1
1University of Oviedo, Spain

An organization such as a Local Economy and Employment
Promotion Agency (LEEPA) needs a proper management systemenabling tangible results to be obtained. Even so, it has made great
progress in the implementation of continuous quality techniquesby using inadequate management models due to its complex
structure and status as a public entity. Thus it has a high numberof indicators which only cause greater difficulties when it comesto establishing conclusions, and management is oriented towards
processes when the usual working method is project management.
In this paper, the main features of a series of models have been
described and their application to the LEEPA has been analyzed
by seeking the deficiencies and proposing or designing
improvements. The final aim has been achieved by the definition
and use of the so-called Single Employability Indicator; a single
parameter from which to obtain conclusions concerning thefinancing of the whole Organization. The drafting of a new
Process Map in accordance with the LEEPA’s activity has madeintegration of the models studied necessary by obtaining a hybrid
model of Process Management and Project Management.
Progress in Large-shared Projects: Method for Forecasting andOptimizing Project Duration in a Distributed Project
Rameez Khalid1, Philippe Duquenne1, Alain Hait1
1Université de Toulouse, France

In large-shared projects, it is still difficult to measure progress
due to the complexities involved, because the realization is shared
among departments of a company or among companies in theworld. Project management and operations research literature isreviewed for discovering various techniques applicable. Widelyused tools for progress measurement and forecasting, such as
Earned Value Analysis, Progress Plot, Milestone and Resource slip
charts, concurrent engineering, can be employed. This paper isbased on a problem of pharmaceutical industry where theeffectiveness of a certain medical treatment is examined on
patients in a number of countries. The number of variables
involved increase the complexity of this problem. The main
objective is to analyze the effectiveness of a solution in different
situations during the project such that a better project duration
and a lower cost can be achieved. Our findings suggest thatreallocation of patients among countries produces better results interms of progress.

Session
Date
Time
Room
Chairs

Project Management 3
12/11/2008
11:00 - 12:30
Jupiter 1
Thomas Frisanco, Ronald Beckett

Process Management System for the Integration of Situation
Dependent Process Planning
Wolfgang Lauer1, Matthias Faerber2, Julia Roelofsen1, Florent Jochaud2,
Stefan Jablonski2, Udo Lindemann1
1Technical University of Munich, Germany
2University of Bayreuth, Germany

Today’s complex products and development processes require theengineer to consider an increasing variety of influencing factors
like the current design situation or the available information.
Though recent enhancements of process management systems
show progress with administrative and production workflows, thesupport of highly iterative, flexible and unpredictable productdevelopment processes has not been solved yet. Hence, thepresented research proposes a novel process management system
which considers the design situation of an engineer and his/her
information needs in particular. Based on a project control circle
which describes the proceeding in a development project ingeneral, the design situation and the product models aredescribed by corresponding parameters to define the situation andthe most relevant product models for the execution of the task.
Finally, the implementation of both aspects is explained by using
the developed data schema.
Correlation Analysis between Maturity Factors and Performance
Indexes in Software Project
Xiangnan Lu1, Lang Shu1, Jie Li1
1Zhejiang University, China

Software development inclined to production of scale, criterion
and industrialization, with the development of information
technology and software industry. Different kinds of Project
Maturity Models for enhancing performances of softwaredevelopment were broadly exploited and used factually.
Based on literature review and enterprise research this paper
put forward 30 main factors which cover in three aspects oftechnology, organization and personnel. At the same time, theauthor classified the software development performance
estimation indexes into five geniuses: quality, satisfaction,knowledge, control, and efficiency index. Recurring to large-scalequestionnaire research, the author also applied SPSS statistic
instrument consisted of gene analysis, correlation analysis andregression analysis to analyze the relationship between maturity
factors and performance indexes. The results indicated that close
connections between the project performance and different
maturity factors affected the project performance to a certain
extent.
Organizing Project-Based Group Communication Events: A
Macro Perspective
Chung-Yang Chen1, Pei-Chi Chen2, W.L. Tsai1
1National Central University, Taiwan
2Trend Micro Incorporated, Taiwan

Communication, often conducted in the form of meeting, is criticalto the success of collaboration in project-based andhuman-intensive business activities. This paper reviews current
literature in the areas of group and organizational communication
and argues the need of (1) a holistic perspective in planning andorganizing project-based group communications, (2) establishingand sustaining a continuous venue for communication, and (3)taking advantage of meetings and introducing the meeting-flow(MF) concept to facilitate the macro-level planning ofcommunication and its venue.

A Neuro-Fuzzy Approach to generate Customer Satisfaction
Model for New Product Development
C. K. Kwong1, T. C. Wong1
1Hong Kong Polytechnic University, Hong Kong

Understanding Customer perception towards any consumer
products is of extremely important to design teams for designing
new products. It is because success of new products is heavily
dependent on the associated customer satisfaction level. If theconsumers are satisfied with a new product, the chance of the new
product to be successful in a marketplace would be higher. In thisstudy, we applied Adaptive Neuro-Fuzzy Inference System(ANFIS) method to generate customer satisfaction models basedon market survey data. In this paper, a modified ANFIS (M-ANFIS)
is proposed by which explicit customer satisfaction models can begenerated. The models can efficiently deal with continuous input
values instead of crispy numbers. To justify the goodness of
M-ANFIS, it was compared with a well-known statistical method,
Multiple Linear Regression (MLR). Experimental results indicatedthat the M-ANFIS outperformed MLR in terms of mean absolute
errors and variance of errors.
Robust Design for Optimal Project Management with
Reliability and Cost
Angus Jeang1
1Feng Chia University, Taiwan

An approach which combines PERT and CPM in one model tosolve project scheduling problems, is introduced. Due to thestochastic nature of activity time and cost for PERT and CPM
networks, robust design for project scheduling via statisticalmethod is introduced in the presented approach. The statisticalmethod, such as response surface methodology (RSM), is used todevelop a rationale of the time-cost tradeoff problem. Since thecharacter of stochastic networks is considered in this study, otherthan the deterministic values of completion time and total cost, theprobabilistic values of completion time reliability and total costreliability are also considered as response values for statisticaloptimization. The results indicate that the presented approachprovides an efficient and practical means in finding the robust andoptimal scheduling for project management problem.
Development of Joint Venture Partner Capabilities Assessment
Model: The Case of Eskom Enterprises, South Africa
Michael Kachienga1
1University of Pretoria, South Africa

One of the main challenges in joint ventures collaboration is how
to assess partners’ capabilities so as to have a win-win businessventure. The success of a joint venture depends on thetechnological, financial and cultural synergy created by individual
contributions of partners. Experience shows that it is easy toachieve financial parity in terms of capital outlay, but rather moredifficult to achieve strategic parity in terms of technological andhuman capital investments.
This paper discuses the joint venture partner model for partners’
capabilities assessment. The focus will be on assessment of thepartners’ technological capabilities. For clarity, a single partner
capabilities assessment is discussed, the modalities of assessment
are explained, and the case study of Eskom Enterprises (EE) (Pty)
Ltd and an African power sector is discussed.

93Session
Date
Time
Room
ChairsSupply Chain Management 4
12/11/2008
09:00 - 10:30
Jupiter 2
Ana Paula Barroso, Adam T.S. Ng

Integrated Model for Sustainable Development
Vineet Varma1, Gopinath Chattopadhyay1
1Central Queensland University, Australia

The growing human population has put an ever-increasing strain
on world resources. This is causing a severe imbalance on human
lives and the flora and fauna of the world. Human activities inareas such as mining, deforestation, urban development andindustrialization have created an adverse impact onenvironmental, social and economic stability of companies andcountries. This paper will take an integrated and holistic approachto address these problems and focus on deriving the maximum
value from a bundle of available resource to enhance sustainability.
It would consider ‘Lean Methodology’, to improve the efficiency
and effectiveness of the business. This is extended to address thefinancial, economic, social and environmental aspects at a macrolevel for achieving sustainability and a higher quality of life.

RFID-Enabled Aerospace Manufacturing: Theoretical Models,
Simulation and Implementation Issues
Khir Harun1, Kai Cheng1, Marco Wibbelmann1
1Brunel University, United Kingdom

Radio frequency identification (RFID) is gaining significant
interest from the aircraft manufacturing industry. It has become anincreasingly recognized technology, with its real time tracking
ability at a much greater level of accuracy, and provides morevalue across a supply network. RFID-enabled technology with anassociated system structure has emerged to provide solutions
which apparently close the gap between the physical flow ofmaterials and the information flow in the production system. As
manufacturing supply chains rapidly enter the virtual world of
the networked RFID system, their information systems are sharing
the fundamental information that require intelligent tracking andtracing performance. This paper discusses broad issues inherent inaircraft parts manufacturing with various applications including
regulatory and quality requirements, production planning andcontrol, product traceability, inventory management, and laborproductivity. A theoretical model with generic RFID framework ispresented. The framework is then applied to an aircraft partmanufacturing process with associated decision cost factors as acase study.
Location-Routing Based Dynamic Vehicle Routing Problem for
Express Pick-Up Service
Ming-Der May1, Chan-Yu Tu1
1Lung Hwa University of Science and Technology, Taiwan

This study has two major issues: (1) Expanding Dynamic Vehicle
Routing Problem into Location-Routing based model with single
hub and intermediate transfer points that can be relocated in realtime according to customer's positions and the situation of theregional pickup demands; (2)Solve this model by optimization
procedure and evaluate computing efficiency with some proposed
test problems.

94

Exact Evaluation of a Two Sourcing Supply Chain with Order
Splitting and Information Sharing
Mehdi Sajadifar1, Amir Mahdi Hendi1, Rasoul Haji2
1University of Science and Culture, Iran
2Sharif University of Technology, Iran

We consider a single item, two-level inventory system which
consisting of two suppliers and one retailer. Transportation times
are constant. The retailer faces Poisson demands and applies
continuous (R,Q) policy. Each supplier starts with m initial batchesof size Q/2 and places an order in a batch of size Q/2 to an outside
source immediately after the retailer’s inventory position reaches
R+s. In this paper using the idea of the one-for-one ordering policy,
we derive the exact value of the expected total cost in theconvergent coordinated supply chain.
Realizing Instant Customerization Through Proactively
Enhancing Demand Visibility
Zhongjun Tang1, Xiaohong Chen1, Jing Xiao1
1Central South University, China

Despite of an increasing trend towards a new manufacturing
paradigm ‘instant customerization’, there is a lack of research into
its feasibility. To examine the feasibility to implement instantcustomerization, this paper proposed a demand-supply chain
model, which include five linkage points between demand andsupply chains. The model may provide a set of systematic
approaches to analyze the possibility of innovative operations andproduction illusions, and provide requirements to implement theinnovative operations and production tactics. By means of themodel, a feasible zone and two kinds of tactics to implement
instant customerization are elicited and described at a generallevel. The key kind of tactic is to proactively enhance demandvisibility.
A Method of Bottleneck Control in Build-to-order Supply Chain
Yimin Xu1, Shihua Ma2
1Huazhong University of Science and Technology, Guangdong University ofTechnology, China
2Huazhong University of Science and Technology, China

Build-to-order (BTO) supply chain is a successful pattern forsatisfying end customer needs. But the present product control
strategies and methods like JIT are difficult to work in BTO supply
chain. In this paper, a new theoretic approach to bottleneck
identification in BTO supply chain is introduced. The approach is
combined with the theory of constraints and input/output control.
Using this approach, bottlenecks are defined, and theirimplications for production control are discussed. Then aproduction control model based on the bottlenecks is developed
and analyzed. At last, a queuing model to describe the model ismade.

Session
Date
Time
Room
ChairsSupply Chain Management 5
12/11/2008
11:00 - 12:30
Jupiter 2
Carman Ka Man Lee, Ming-Der May

Coordinated Production Planning in Supply Chains
Richard Lackes1
1Technische Universität Dortmund, Germany

The objective of supply chain management is the improvement of
the material flow between the linked enterprises by installinginformation systems and procedures in order to enhance thecoordination in the logistic chain. Planning the production andorder quantities is a fundamental and decisive process for material
flows in a supply chain. Therefore the coordination of thesedecisions is of great importance to its efficiency. One way to
improve the coordination consists in the construction of a central
production planning system for the entire supply chain. This shallcomplete existing ones used in the diverse enterprises. Thereby
the distinct scheduling systems used keep their autonomy to alarge extent. Akin to “service providers” they are used by thecentral supply chain oriented production planning system(SC-PPS), which in this respect offers an information system thatloosely links different PPS systems. The architecture, necessary forthat, the needed data and the functionality are introduced anddiscussed.
A Review of Planning and Scheduling in the Pulp and Paper
Supply Chain
Mohsin Malik1, Min Qiu1
1University of Western Australia, Australia

This paper reviews the body of work on the operational planningand optimization of the supply chain in the pulp and paperindustry, with an emphasis on integrated production planningand scheduling. It also discusses what appear to be theunexplored areas of its operational planning. Moreover, it gives a
synopsis of the heritage of operational planning tools available
and tracks the evolution of the pioneering planning methods indecision support systems of modern day.
The Impact of Uncertain Environment on Rice Supply Chain
Performance in Northeast Thailand
Phatcharee Thongrattana1, Peter Robertson2
1Kasetsart University, Thailand
2University of Wollongong, Australia

Rice is a key agricultural product of Thailand and plays a vitalrole in the Thai economy. Rice production, however, is dependent
upon environmental factors. Environmental uncertainty therefore,
can impact rice crop areas in term of influencing the rice yield, riceproduction and generating ripple effects along the overall ricesupply chain. The aim of this research is to investigate the effects
of uncertain rice supply caused by drought years on the ricesupply chain performance in Thailand. Three stochastic
simulation models in different assumptions of rough riceproduction situations were developed which were based on
historical data of normal and drought years in northeast Thailand.
The results from using iThink software indicate that periodic
enormous rice production loss because of a drought year create
significant problems such as fluctuating inventory levels,
stock-outs and unfilled customer demand compared to riceproduction loss under monsoon drought probability and meanrice production.

Research on the Subdivision of Transaction Cost in Supply
Chain Based on Analysis of Enterprises Relation
Xing-hui Lei1, Ke Zhang1
1Tongji University, China

The competition between enterprises has been gradually replacedby that between supply chains. Nowadays, suppliers and buyers
are cooperative associates and work in the competition together
with each other, which used to be competitive forces. However,they are still separate units and transaction cost still exists as aprime cost between enterprises in supply chain today. Throughthe analysis of the factors that affect the amount of transaction cost,this paper studies the dual influence of the enterprises relation ontransaction cost. Furthermore, this research separates a part oftransaction cost which works as the quality guarantee value
activity and we call it relation cost. By this way, we hope todecrease transaction cost in a large amount by paying relation costin a small amount according to the theory of strategic costmanagement and systematic management, and ultimately to
improve the competitive advantage of supply chain.
A Supply Chain Disturbances Classification
Ana Paula Barroso1, Virginia Machado1, Virgilio Cruz-Machado1
1UNIDEMI, FCT-UNL, Portugal

Nowadays, organizations and supply chains have to deal with anumber of disturbances. The pressures to grow revenues, to takeadvantage of new technologies, to reduce costs, and to improve
working capital and streamline operational procedures, pushed
many organizations to establish strategies which increase risk
exposure. As a result, companies can loose the ability to act
quickly and effectively in response to disturbances. In this paper,
different disturbances are identified and the relationship with
their potential sources is discussed. A proposal for theclassification of disturbances is presented; it is considered as arequired step to understand how to model for better organization
performance in situations characterised by high levels of exposure
to disturbances.
A Simulation Study on the Impact of Forecasting Methods on
the Bullwhip Effect in the Supply Chain
S. Kamal Chaharsooghi1, HamidReza Faramarzi2, Jafar Heydari1
1Tarbiat Modares University, Iran2Wilfrid Laurier University, Canada

Bullwhip effect is undesirable in the supply chains, exacerbating
its performance. Various factors can cause bullwhip effect, one ofwhich is customer demand forecasting. In this paper, impact offorecasting methods on the bullwhip effect has been considered. A
simulation study is implemented considering a supply chain
consisting of one supplier and four retailers. A time series
procedure (ARMA) is used as the forecasting method and iscompared with two of the most applicable forecasting methods(Moving Average (MA) and Exponential Smoothing (ES)), fromboth bullwhip effect and forecasting accuracy point of view. Ourfindings show that having more accurate forecasting method is
not equivalent to creating less bullwhip effect.

95

Session
Date
Time
Room
ChairsGlobal Manufacturing and Management 1
12/11/2008
09:00 - 10:30
Jupiter 3
Jiafu Tang, Anil VermaAlternative Value Creation Strategies in the Footwear Industry:
Exploring the Role of Production Offshoring
Antonio Verdu-Jover1, Jose Maria Gomez-Gras1, Ignacio Mira-Solves1, Jesus
Martinez-Mateo1
1Miguel Hernandez University, Spain

Using a value creation perspective we analyse firms’ strategies infootwear industry in Alicante (Spain). Production offshoring has
been the key to enabling successful firms to survive in a sector thatsocial agents have for decades perceived as permanently in crisis.
In a period of great changes, local firms have not only fought tosurvive by maintaining activities with a high added value in theregion but have also in some cases based their strategies onmaintaining production activities in the same region in order togenerate a high value for rapid response to the European Union
regional market.
Evaluating the Performance of Global Telecom Operators
Wen-Min Lu1, Shiu-Wan Hung2, Chih-Jou Chen2
1National Defense University, Taiwan
2National Central University, Taiwan

In today’s globalized economy, telecommuni-cations operators arefacing ever-increasing competition and challenges. They need tofocus on improving their performance in order to remaincompetitive. This study attempts to examine the managerial
performance efficiency of 36 globally leading telecommunications
operators by utilizing the data envelopment analysis (DEA)
technique. The empirical results indicate that the scale of theoperators does play an important role in influencing theiroperating efficiency. Telecoms can increase their performance by
consolidating with other smaller units to achieve the optimal size.
European telecom operators were found to perform better thanthose in the Asia-Pacific region and in America. The results also
show that state-own telecoms operate more efficiently thanprivatized telecoms. In addition, the global telecoms have beenranked and the benchmarks set by using the reference-sharemeasures. These benchmarks may give a first guideline for
performance improvement of global telecommunications
operators.

An Exploration of the Pre-development Phase in New Zealand
Small-to-medium Enterprises
Warren Baier1, Aruna Shekar2
1Hansen Products (NZ) Limited, New Zealand
2Massey University, New Zealand

Developing successful products is difficult, with few companies
being highly successful more than half the time. This presents asignificant challenge for a product development team. This
research was aimed at exploring the pre-development phasecurrently employed by small and medium enterprises (SMEs)
from the New Zealand manufacturing industry. The purpose wasto gauge the understanding and importance of this early stage inproduct development amongst practitioners from these SMEs, as
the literature highlighted this as an area of weakness requiring
empirical research. This study involved twenty-two SMEs using aquestionnaire survey followed by personal interviews with someof the participants. The study found that the pre-development
phase of New Zealand SMEs lacked awareness, commitment, andformality. Difficulties were also associated with carrying out theactivities, worsened by the lack of skills in-house to do so.

96

Research on Procedures and Model of Flexible Selection of
Manufacturing Strategy Competitive Priorities
Fengjing Han1, Chun-sheng Shi2
1Harbin Institute of Technology, Heilongjiang Institute of Science and Technology,
China
2Harbin Institute of Technology, China

Manufacturing markets are facing a series of changes in current
days ,which has made manufacturing strategy a research hotspot
In the foreign business community and academia, and so do
manufacturing strategy competitive priorities as an importantcomponent of manufacturing strategy. This paper designs theprocedures and model of flexible selection of manufacturing
strategy competitive priorities from the recognition anddetermination of the elements ,as well as role analysis ,to theprocess design of competitive priorities flexibility under different
competitive strategies.
Developing a Feedback Model of Brand Development - A Casein Point of the Laptop Computer Industry in Taiwan
Chun-Fu Chen1, Chin-Huang Lin2, Hsin-Yun Hu3
1Nanya Institute of Technology, Taiwan
2Chung Hua University, Taiwan
3Hsin Sheng College of Medical Care and Management, Taiwan

The construction of capability of a brand name is of a complex
system structure, and the solution to the problem heavily relies on
the key issues thereof. The academic discipline of system
dynamics is able to comprehensively understand the evolution of
a complex system, as well as how the internal feedback loop of thesystem structure influences the system behavior. This study is on
the construction and analysis of the dynamic structure of thebrand name dynamic capability, divided into four facets, namely
the flows of production, innovation, service, and marketing; actual
cases or academic views will be presented for the purpose ofvalidation. It is the discovery of the study on the brand namedynamic capability. The discussion is divided into four parts:
production, innovation, service, and marketing.
SOCRADES: a Framework for Developing Intelligent Systems
in Manufacturing
Alessandro Cannata1, Marco Gerosa1, Marco Taisch1
1Politecnico di Milano, Italy

Nowadays two main reasons are determining the increase of
intelligent systems in manufacturing. The first one ismarket-driven: demand is more and more variable and masscustomization is the new way to compete in manufacturing
requiring feasible reconfigurable manufacturing systems. The
second one is technology-push: the increasing availability ofhigh-performance, low-power electronic components and theemerging wireless technologies are boosting the creation of
intelligent systems(with personal intelligent perception,
reasoning, etc.). However still research should be done inintelligent system’s field. Since the complexity both of the topic
and of the consequences that it can have on manufacturing
domain, a framework for addressing the overall field should be
defined. We propose the framework adopted in SOCRADES, a
European research project exploiting Service Oriented
Architecture paradigm both at the device and at the applicationlevel. Finally the impacts of SOCRADES architecture on
manufacturing performance are described and motivated.

Session
Date
Time
Room
ChairsGlobal Manufacturing and Management 2
12/11/2008
11:00 - 12:30
Jupiter 3
Ralph Riedel, Chengter HoComparative Investigation on Green Supplier Selection of theAmerican, Japanese and Taiwanese Electronics Industry in
China
Cherng-Ying Chiou1, Chia-Wei Hsu2, Wei-Yi Hwang3
1The Overseas Chinese Institute of Technology, Taiwan
2National Taipei University of Technology, Taiwan
3National Chung Hsing University, Taiwan

This paper utilized fuzzy analytic hierarchy process (FAHP) to
explore the differences of green supplier selection among theAmerican, Japanese and Taiwanese Electronics Industry in China.
In this study, identification of criteria of green supplier selection iscategorized into six criteria and 24 sub-criteria, a multi-criteria
decision model is proposed. FAHP then is applied to determine
the relative importance for selecting green suppliers among theAmerican, Japanese and Taiwanese Electronics Industry in China.
The findings indicate that the supply chain base criterion performs
the best for overall ranking from three countries’ groups.
Operational Competitiveness Research of Chinese High-Tech
International Manufacturing Company in Global Context
Shubin Si1, Josu Takala2, Yang Liu2, Rayko Toshev2, Zhi Tang2
1Northwestern Polytechnical University, China
2University of Vaasa, FinlandThis paper presents a thorough case study and analysis aiming atstudying operational competitiveness of Chinese high-techinternational manufacturing company (CHTIMC). In this paper,
some models are applied: (1)Analytic Hierarchy Process (AHP)
method is used to analyze questionnaires, which are got from thecase CHTIMC, of multi-focused manufacturing strategies; (2)theanalytical models, which can calculate the ranking of company's
operational competitiveness in prospector, analyzer and defendergroups, are used to find more competitive advantages of
CHTIMC;(3) benchmarking between CHTIMC and top companies
of prospector and defender is applied to determine the operational
competitiveness of CHTIMC further. The analysis results show
CHTIMC is more dominant in prospector group; and prove theanalytical models of operational competitiveness are effective.

Partial Chain based GA for Joint Inventory and Delivery
Scheduling with Vehicle Rent Way
Jiafu Tang1, Xinggang Luo1, Jun Zhang1
1Northeastern University, China

A partial chain based Genetic Algorithm (PCGA) is developed tosolve the integrated inventory and delivery scheduling in a
distribution network where multi-products at one supplier are
distributed to several retailers. The shipments of products to theretailers are subcontracted to professional transportationenterprises via vehicle-rent way. Distinguished from many other
distribution models, the amount of vehicles is viewed upon as an
operational decision simultaneously with the delivery schedule in
the planning horizon so as to cater for quick changes in market
demand. The jointly inventory and delivery scheduling problem
addressed tries to determine not only the schedule of delivery(when and in what quantity each product is delivered, but also thenumber of vehicles required towards minimum total costs ofinventory, transportation and rental costs in vehicles over theplanning horizon. An example is introduced to test the efficiencyof the method and sensitivity analysis is conducted also in thepaper。
Resource-Configurations for Manufacturing Networks:
Matching Plant Capabilities to Product Value
I-Chen Wang1
1University of Illinois at Urbana-Champaign, United States

Extending from the resource-based view, diverse capabilities ofmanufacturing plants represent heterogeneous resources, which,coupled with product characteristics, affect performance. Using athree-way classification, we propose that ‘pilot’ plants provide
strategic value through product development effectiveness,‘contributor’ plants are conducive to efficiency in process
improvement, and ‘source’ plants provide cost competitiveness.
Knowledge Sharing for Strengthening Manufacturing
Operation and Business Performance
Tsu-Te Huang1, Rodney Stewart1, Le Chen1
1Griffith University, Australia

Manufacturing companies have strived to enhance managerial
and technical capabilities to improve business performance.
Building these capabilities requires effective share of knowledge –the strategic resource. Specifically, knowledge sharing (KS)between different manufacturing departments can improve
manufacturing processes since leveraging organisational
knowledge plays an enssential role in achieving competitive
advantage. This paper presents an empirical investigation into theimpact of KS on the effectiveness of supply chain management(SCM) and the product development process (PDP) in achieving
desired business performance (BP). A questionnaire survey wasadministered from electronic manufacturing companies operatingin Taiwan. 168 valid responses were received and used tostatistically examine the relationships between the concepts (SCM,
PDP, KS, BP). The study findings reveal that within the Taiwaneseelectronic manufacturing companies KS is an essential enabler for
facilitating the effectiveness of SCM and PDP in achieving desiredBP.

97

Automatic Feature Extraction from Front and Side Images
Session
Date
Time
Room
ChairsHuman Factors 1
12/11/2008
09:00 - 10:30
VIP Room
Masahiro Aruga, David de la Fuente

A Qualitative Study in Consumer Behavior of Skype Internet
Phone
Chia-Chen Yen1, Jih-Shih Hsu1
1National Yunlin University of Science and Technology, Taiwan

Various Internet applications have mushroomed for years in manydifferent fields, but only few of them survive in the market. One ofthem is the Internet phone service which has been available since1995. Recently, this market has shown fast development in termsof many new value-added services offered and an impressive
increase in the number of users all over the world. This paper aims
to investigate why certain products subsist while varied
substitutes exist in the same field. A qualitative approach wasused to explore the consumer behaviors of Skype Internet phoneand compare the schema changes of Skype users and non-skype
users in the same periods. Concluding from the result ofqualitative study, the findings indicate the social influences are themost important factors that affect customer behaviors of Skype
Internet phone. The model of this paper is not only suitable forInternet applications but also can be extended to survey diverse
products in different areas.
Research on Cooperative Game Model of Ship Owner andSeafarer
Xu Zhao1, Shuang Zhang1, Wei Zhang1, Weihong Zou1
1Dalian Maritime University, China

The paper aims to create a cooperative game model and its
equilibrium point to describe the inside distribution policy andoutside running behavior of shipping enterprise, basing on
modern enterprise theory, expect utility theory and the gametheory, to analyze the development of shipping enterprise’
structure. The model demonstrates that the inside distribution ofshipping enterprise is proportional to the attitude of gameparticipators to the risks in outside market environment. Besides,
price strategy, as shipping enterprise’s major market behavior, willchange accordingly with the enterprise cost and inside
distribution policy. The conclusions from the model explain the
shipping enterprise’s market behavior, such as enterprises gain thecompetitive advantage of scaled operation by reducing cost. It also
gives some suggestions for shipping enterprises in China, such as
the salary system of seafarers should be geared to theinternational standards sooner, etc.
A Multi Objective Approach for Selecting Solutions to Improve
Job Satisfaction - An Empirical Case Analysis
Vahid Baradaran1, Shohreh Ghadami2, seyyed ehsan malihi3
1Islamic Azad University Tehran North Branch, Iran2Sazeh Gostar Saipa, Iran
3Tarbiat Modares University, Iran

Extensive studies have shown that improving job satisfaction
increase firm performance. Thus firms have a great interest in
finding effective solutions to improve their employees’ jobsatisfaction. To this end, we use Multi objective model to selecteffective solution for improving job satisfaction in our case. Five
components of job satisfaction were revealed as a one of theobjective functions by principal component analysis, and theeffective solutions were determined by using multi objective
analysis.

98

Yueh-Ling Lin1, Mao-Jiun Wang1
1National Tsing Hua University, Taiwan

This paper presents a systematic method to detect feature points
on the silhouette of human body from front and side images.
Based on the correspondence between the coordinates and theeight numbering system of chain codes, we use the codes that
depicted at 90 degree angle as corner points. The system thenconnects the other associated points horizontally and vertically.
Thus, the human landmark positions of head, neck, shoulder,chest, waist, hip, thigh, knee, shank, ankle, and foot can be
identified by the relationship between two correlative points. A
total of 55 feature points and 26 body measurements can beextracted automatically. The method has been tested on fourhuman subjects and all were correctly extracted.
Risk Bayesian Assessment Approach to HOF-based Ship
Operation in Harbour
Shenping Hu1, Cunqiang Cai1, Quangen Fang1
1Shanghai Maritime University, China

Marine accidents were mostly caused by the human errors, and it
is important to emphasize the research about the human elements
for the safety of ships. Risk based on human organization factor(HOF) associated with vessel operation system at sea are analyzed
according to the elements in this system and a new method of
proposed risk assessment is developed to ensure safe ship
operation including the framework, content and procedure. Basedon Bayesian method, Bayesian estimation, learning, reasoning anddecision-making are established for the quantitative risk
assessment (QRA) of vessel operation system at sea. After the
analysis on occurrence probability of accidents related to shippilots in harbour, a thorough procedure about proposed risk
assessment on the basis of Bayesian method is developed to obtain
the QRA of their relative distributions. The distributions of ship
operation are described and results are presented on QRA in
relation to various features. This method, verified in the cases of
QRA, turns out to be feasible in the application of risk assessment.
Japanese Tourists’ Perceptions of Shopping at Taiwan Night
Markets
Chia-Ching Tu1, Dian Yan Liou2
1National Changhua University of Education, Taiwan
2Yu Da College of Business, Taiwan

From theoretical viewpoints, analyses of consumer motivation
have been applied to the shopping and the tourism industry for
decades. The objectives of this study are to understand tourists'
motivations and their preferred leisure activities when they shop
in Tourist Night Markets. The unit of analysis is the Japanese
tourist. According to the research results, novelty-seeking,experiencing local culture and customs are the major factors that
motivate Japanese to shop in Tourist Night Markets. The results
also reveal that product-related attributes and novelty-seeking are
significant tourist perceptions of leisure shopping. Existing
problems in Taiwan Tourist Night Markets perceived by Japanese
tourists are environmental sanitation, parking and traffic issues.
On the whole, Japanese tourists had the most negative image on
environment amenities of Taiwan Tourism Night Market whether
they visited or not.

Session
Date
Time
Room
ChairsHuman Factors 2
12/11/2008
11:00 - 12:30
VIP Room
Vahid Baradaran, Mohammad Khadem

An Ergonomics Intervention Study of Reducing HealthComplaints among Office Employees
Ashraf Shikdar1, Mohammad Khadem1, Salim Al-Harthy1
1Sultan Qaboos University, Oman

The objective of this study was to determine the effects of alternate
methods of ergonomics intervention in the office environment ofan oil refinery company in Oman. A year long study was
conducted on a sample of 40 representative employees of thecompany. The employees were randomly divided into four groups
and assigned to four experimental conditions. A Checklist
developed for the evaluation was administered before theintervention and six months after the intervention withergonomics conditions. The result showed a significant reductionin health complaints such as backache, headache, shoulders andneck pain in groups with an ergonomics intervention. The
investigation showed that ergonomic facilities along withergonomics training was significantly better than providing only
ergonomics training or ergonomics facilities alone. This type of
research will have immense implications for managers who areinterested in improving worker productivity, health, safety andsatisfaction in work environment where computers are used
intensively.
A Human Factor Fault Tree Analysis Method For Software
Engineering
Yanyan Zheng1, Renzuo Xu1
1Wuhan University, China

Human Factor Analysis has realistic and profound significance toimprove the quality and reliability of software. However, there islittle research on the methods applied in software engineering toanalyze human error. This paper proposes a human factor analysis
method, which applies the fault tree analysis method to seek thehuman factor causing software accidents. Fault tree analysis
method brings great flexibility and it is a graph deduction, whichmakes it easier to find the critical links of human errors.
Rating Consistence of Color Combinations for Aesthetic
Preference, Legibility and comfort for Small Icons
Shih-Miao Huang1
1National Formosa University, Taiwan

This study tried to explore the correlations between aesthetic
preference and perceived usability of color combinations. The
evidence showed that most color combinations had lower
aesthetic rating consistence, and few ones had extremely higher
rating consistence between subjects. Next, the rating consistence ofaesthetics for color combinations was lower than that of legibility
and comfort.
Finally, the correlations between aesthetic
preference rating and legibility and comfort, respectively, were notvery high. However, the argument that aesthetic preference
ratings were correlated with perceived usability would be satisfied
when the rating consistence for all aesthetic preference, legibility
and comfort color combinations are much higher.

The Consideration of the Partial Differential Equations and theInformation Transmitting Structure as the Background of the
ABR Derivation and Characteristics
Masahiro Aruga1, Shuichiro Ono1, Kiyotaka Takagi1, Tsukasa Sato1, Shuichi
Kato2
1Tokai University, Japan
2Teikyo Heisei University, JapanThe characteristics of ABR (ABR: Auditory Brainstem Responses)
are well known to be widely used on many fields, and especiallythey are having been adapted on the medical and clinical fields.
Although the ABR characteristics and the derivation models havebeen discussed and presented, the details of the ABR system are
not sufficiently analyzed. In this paper the partial differential
equations are discussed as the background equation formulas of
the ABR characteristics and the meaning of characters among thepartial deferential equations is considered and an ability of
improvement of them is estimated, then a method of it is
proposed. And using the synthesis method an inverse procedureof analysis of the ABR models is proposed and the estimation of
the information transmitting relation among the Peirce’s
interpretants (though these elements are in the idea of philosophy)
is performed from the real physiologicalside of this ABRcharacters.
Ordinal Logistic Regression for Affective Product Design
Feng Zhou1, Du Wu2, Xi Yang1, Jianxin(Roger) Jiao1
1Nanyang Technological University, Singapore
2Tianjin University, China

Affective product design, which focuses on customers’ affective
responses and aspirations, is arousing attention increasingly. This
paper draws on ordinal logistic regression to deal with affective
product design, mapping from designer domain to customer
domain. It takes a de-signer’s perspective and facilitates thehandling of affective information and assists the designers tomake trade-off deci-sions. Specifically, ten generic affective
dimensions of truck cab design were identified. Ordinal logistic
regression and weighted ordinal logistic regression were applied
to discover the quantitative relations between design elements andcus-tomer affective needs. A case study of Volvo truck cab de-sign
was also reported.
Management of Working Shifts Using The Constraint
Programming Paradigm
David de la Fuente1, Jesus Lozano1
1University of Oviedo, Spain

After an introduction to constraint programming and the man
power job shifting problem, we applied the constraint
programming paradigm in the development of C code to makeyear wide calendars for a given prerequisites. We present a
diagram of the program which shows a very efficient way to solve
the problem. The resulting multi-shift calendars were wellbalanced between shifts and were produced in shortcomputational time.

99

Session
Date
Time
Room
ChairsIntelligent Systems
12/11/2008
09:00 - 10:30
Venus 3
Carman Ka Man Lee, Iraj Mahdavi

Ensemble ANN-Based Recognizers to Improve Classification ofX-bar Control Chart Patterns
Adnan Hassan1
1Universiti Teknologi Malaysia, Malaysia

Many of the previous research on the control chart patternrecognition were related to fully developed patterns. However, inpractice, the process data will appear as a continuous stream ofpartially developed patterns. Such developing patterns are
difficult to recognize since their structure are normally vague anddynamic. This study investigated the merit of a generalized single
recognizer (allclass-one-network (ACON), a committee of
specialized recognizers (one-class-one network, OCON) and theensemble of ACON and OCON recognizers. These recognizers
were embedded into a monitoring framework to enable on-line
recognition. The performance of the schemes was evaluated basedon percentage correct classification. The findings suggest that theensemble of ACON and OCON recognizers with simple
summation could significantly improve its discrimination
capability. It is concluded that the strategy to configure andconsolidate multiple recognizers is very important to achieve goodclassification performance.
Prior Training with Jittered Series for Time Series Forecasting
Tung-Chen Huang1
1Leader University, Taiwan

The improvement of forecasting accuracy is always an importantand difficult task in many areas. In this study, we propose amethod of constructing the jittered series to improve neuralnetwork forecasting performance for a short time series. My
experiment shows that jittered series has a significant impact onforecasting performance of a neural network especially in a shorttime series. The noise level of time series has no significant impact
on the size of jittered series. The larger the size of training sample
is, the less impact of a jittered series will be. The results of thelinear simulated data show different from those of the nonlinear
simulated data in forecasting performance while training withjittered series. The smaller size of the training sample can improve
the forecasting performance 30% higher for the linear simulated
data and 50% to 60% higher for the nonlinear simulated data.
Using RFID Technology on Clinic's Pharmacy Operation
Management and Development of Intelligent Medicine
Dispensing Cabinet
Shien Chii Shieh1, Chang-Ching Lin2, TaiFu Yang1, Gu-Han Tu1
1Tung Nan University, Taiwan
2St. John's University, Taiwan

We rely on pharmacist professional service for a long time. This
research emphasizes on how to improve Taiwan’s present clinic
pharmacy dispensing system by introducing RFID technique toassist small clinic which hires single pharmacist that can’t perform
repetitive inspections. Human factor and new processes are took
into consideration to enhance the dispensing accuracy. By
installing real system and reestablishing the dispensing process,our primary goal is to ensure the medication safety and to reducethe medicine risk. Our efforts include prescription electrolyzed at
the front end, light-indicator-aided picking system to help thepharmacist taking the exact medicine during dispensing, RFID
embedded cabinet to perform the double check procedure,
electrical weighting scale to make sure the right amount and CCD
camera to reconstruct the scene when errors do happen.

100

Product and Process Configuration : A Constraint BasedApproach
Michel Aldanondo1, Elise Vareilles1, Meriem Djefel2, Claude Baron3
1University of Toulouse - Mines Albi - CGI, France
2University of Toulouse - Mines Albi - CGI, University of Toulouse - LATTIS INSA, France
3University of Toulouse - LATTIS - INSA, FranceThis communication deals with the possibility of coupling
together interactive product configuration tools with processplanning tools in order to communicate and make consistentdecisions made from one side to the other side. The first section
introduces the problem and the general ideas of the proposedsolution. Then, two constraints based models, respectively
relevant to product configuration and process planning, arepresented. Finally first investigations for coupling these twomodels and associated problems are discussed. An example
illustrates our proposal through out the paper.
Control of Robotic Manipulators Via Supervision of the Free
Design Parameters and Sampling Rate
Manuel de la Sen1, A. Almansa1, J. C. Soto1
1Instituto de Investigación y Desarrollo de Procesos, Spain

An adaptive control scheme for mechanical manipulators is
proposed. The control loop consists of a network for learning therobot’s inverse dynamics and on-line generating the control signal.
Some simulation results are provided to evaluate the design. A
supervisor is used to improve the performances of the system
during the adaptation transients. The supervisor exerts twoactions. The first one consists of updating the free-design adaptive
controller parameters so that the value of a quadratic loss function
is maintained sufficiently small. The second action consists of an
on-line adjustment of the sampling period within an interval
centered at its nominal value.
Reverse Engineering: a Methodology for Supporting Smart Free
- Form Digitalization
Enrico Vezzetti1, Antonio Zompì1
1Polytechnic of Turin, Italy

Reverse Engineering is a technology that generates a virtual
representation of an existing part based on point data acquisition
with measuring techniques. Different technologies could be
employed to obtain a virtual representation of a physical model,
but the use of a solution (3D scanner) rather than another, could
provide significant different results because the available 3D
scanners are characterised by different performances (resolution,accuracy, …). The selection of the right 3D scanner could
guarantee an improvement in the points acquisition precision, but
it could not assure an efficient points distribution in term of
number and locations. These two parameters make part of theacquisition strategy, that should provide a consistent sampling
plan. For this reason this paper wants to propose a methodology
to define a selectively sampling plan, with grid dimensions relatedwith the complexity of the local surface region analyzed.

Session
Date
Time
Room
Chairs

Quality Control and Management 3
12/11/2008
11:00 - 12:30
Venus 3
Lianjie Shu, Wanbo Lu

Study on Weight of the Assessment Criteria for Thailand
Quality Award
Warapoj Meethom1, Attakorn Kengpol2
1Mananakorn University of Technology, Thailand
2King Mongkut's University of Technology North Bangkok, Thailand

This research aims at studying on the weight of assessment criteria
for Thailand Quality Award (TQA). This study was conducted to
examine whether the full score related to other opinions or not byusing Analytic Hierarchy Process (AHP) as a tool to find out theweight of each sector. It was found that the weight received by theinterview was different from the assessment criteria, which was so
evident in 2 sectors: business results sector and human resource
focus sector. If the business result sector was deleted out, thehuman resource focus sector contained more weight received by
the interview than the criteria for TQA. In the practitioners’
viewpoints, the most important sectors were the organization
leading sector and human resource focus sector. Therefore,
steering an organization towards best practice needs a focus on
creation of one with strong leadership and competent knowledge
personnel for its best business performance.
Bayesian Sequential Estimation and Evaluation of Process
Capability Indices with Multiple Subsamples
Huiming Zhu1, Keming Yu2
1Hunan University, China
2Brunel University, United Kingdom

Process capability analysis is designed to estimate the proportionof parts that do not meet engineering requirements in a stableproduction process. Using process capability indices to quantify
manufacturing process precision and performance is essential partof implementing any quality improvement program. In this paper,
we proposed a Bayesian sequential approach to estimate andevaluate the process capability based on multiple subsamples. Its
advantage is that the parameters’ posterior distribution in thecurrent states is considered to be their prior distribution in thenext state, thus reducing the variance of the estimators throughthe use of the information about the past production
manufacturing process. According to the parameters’ sequential
posteriors, we establish the point estimation and the one-sided
confidence interval for the process capability. Finally, we give an
example to illustrate application of the proposed approach.
Statistical Monitoring of Multivariate Linear Profiles
Abbas Saghaei1, Rassoul Noorossana2, Majid Eyvazian2, Abolfazl Vaghefi2
1Islamic Azad University, Science and Research Branch, Iran
2Iran University of Science and Technology, Iran

Applying Six Sigma Techniques in Plastic Injection Molding
Industry
Tarek Safwat1, Aziz Ezzat2
1National Company for Packaging Industries NATPACK, Egypt
2Arab Academy for Science and Technology, Egypt

This paper presents an approach to implement a six sigma
technique to decrease the scrap rate in a plastic injection molding
plant. Using a case study of NATPACK Co. a plastic packaging
company in Al Obour City, Cairo, Egypt. A Six sigma DMAIC
methodology was applied to structure the study and scope theproject. DMAIC which stands for Define, Measure, Analyze,
Improve, Control is widely used in many six sigma projects sincethe 1990s. The proper tools that are suitable for injection molding
industry needs were investigated. The primary tools used are
SIPOC, MSA, FMEA, P-Control Charts, Hypothesis Testing. In thiscase study we compare the average scrap rate for the “Before”
study period with the average scrap rate of the “After” study
period.
On Evaluating the Measurement Capability of High-quality
Processes
JrJung Lyu1, MingNan Chen1
1National Cheng Kung University, Taiwan

Measurement systems analysis (MSA) ensures that the required
data can reliably perform quality improvement initiatives. The
common program to assess the precision of a measurement
system is the gauge repeatability and reproducibility(R&R) study.
Few investigations relate to the gauge R&R study for attributedata despite a need for industrial applications. Industries withnear zero-defect manufacturing environments often experience
occasional nonconformities in some samples when random shocks
arise. The standard MSA may fail to identify defective data fromhigh-quality processes. This study proposes an attribute gaugesystem to enhance the capability of the measurement system. The
process and potential of the proposed system is illustrated using a
manufacturing case.
Regression-Based Limits for Multivariate Poisson Control Chart
Tsen-I Kuo1, Jing-Er Chiu2
1National Kinmen Institute of Technology, Taiwan
2National Yunlin University of Science and Technology, Taiwan

C-charts and U-charts are widely applied for Poisson distribution
to monitor the number of defects in the univariate process. Morethan one quality characteristic for attribute data with Poisson
distribu-tion is of interest in many industrial applications. A
control chart is constructed for monitoring multivari-ate Poissoncount data, called the MP chart. The MP chart is constructed basedon the sum of defects or nonconformities in one single control
chart. In this study, the control limits in the multivariate Poissonprocess are estimated by using multiple linear regres-sion model
since the calculation of control limits is complicated. Two
examples are provided to illustrate the effectiveness of thisapproach.

In some quality control applications, quality of a product orprocess can be represented by a relationship between two or morevariables. This relationship is referred to as profile. However, inother practical applications, two or more profiles are required inorder to model the quality of a product or process effectively. In
this paper, we propose the use of a control chart scheme in phase
II monitoring of multivariate linear profiles. The statistical
performance of the proposed method is evaluated using a
numerical example. The results reveal that the proposed method isrelatively effective in detecting shifts in the process parameters.

101

Session
Date
Time
Room

Poster Session 3
12/11/2008
10:30 - 11:00
Venus 1

Thermal Error Analysis and Error Prediction Modeling on a
Machine Tool
Rui Zhu1, Shijie Dai1, Yonglu Zhu1, Xinye Wu1, Yinbiao Guo1
1Xiamen University, China

Thermal errors are the largest contributor to the dimensional
errors of a workpiece in precision machining. It is very significant
to study how to accurately simulate the spindle thermal errors. In
this paper a novel concept of thermal error modes analysis is
proposed to develop a better understanding of the thermal
deformation on a machine tool. The basic thermal error modes fora structural element are the thermal expansion and bending mode.
The selection of sensors location can be improved based on thethermal error modes analysis with finite elements analysis forreference. Through variables grouping and optimization approach,key temperature variables are identified, the number of thermal
sensors has been reduced from 16 to 3. The thermal error
prediction modeling based on the proposed method has been
applied to a machine for verification, and the results show thethermal error prediction model is satisfying for thermal error
compensation.
Hybrid Management in a Hierarchy Organization
Mani Tousi1, Esmaeil Mesgarpourtousi2
1McGill University, Canada
2Tehran-Boston Engieers, IranIn this paper, the problem of management in an organization witha hierarchical structure is modeled as a hybrid multi-layerswitching control problem. A novel approach is proposed totransfer a management problem to a control system problem. The
supervisory control of a Discrete-Event System (DES) is used for
decision making in the organization. This method takes advantageof the hierarchical structure of an organization to find the optimal
solution in terms of achieving the desired scopes of the project
while minimizing the resources (time and cost). Although the
problem formulation is explained for a hierarchical organization,
the method is general enough to be applied to any teamcollaboration problem including the flat structure organizations.
In fact, this methodology improves the monitoring and controllingphase of the project management.
Research on Constructing the Framework of Urban Emergency
Response System Based on Multi-Agent System
Xia Wang1, Chunjing Ge1, Xianjun Guan1
1Tongji University, China

With the accelerating process of urbanization, the frequency anddamage of urban disasters become more serious. Urban
emergency response system is essential to secure people's lives
and properties safety. The framework of urban emergency
response system is constructed based on Multi-Agent System inthis paper, and these agent groups of the system are analyzed.
This paper provides a model of the system in urban disasters in
different stages of its operation. The system is expected to solve
those complex problems in urban disaster management andintegrate organizations, information and resources into cities.
A Coordination-Theory Driven Approach for Manufacturing
Web Services Composition Process
Meng Qian1, Zhong Liu1, Li Yao1, Weiming Zhang1
1National University of Defense Technology, China

Modern manufacturing enterprises often need collaborations intheir business processes. When coalition services must work
together, the coordination problems may be very complex.
Coordination theory provides a method for modeling complex
collaborative activities in a distinct way. Hence, a methodology
with its visualization approach of modeling Web Service
composition coordination process was proposed. According to themethodology, models all about the Web Services composition
collaboration processes in an e-manufacturing process were set up
as a practical example. This approach will help to make different
Web Services more adaptable to Web Service oriented application.

102

Optimization of Emergency Logistics Delivery Model Based on
Anti-bioterrorism
Yudong Ke1, Lindu Zhao1
1Southeast University, China

In the anti-bioterrorism system, the emergency logistics
distribution is an important component, which is the foundationand precondition of safeguarding carrying out rescue activities.
The background of emergency logistics in the anti-bioterrorism
system is analyzed in this paper. Aiming at the problem of
emergency materials under the system of anti-bioterrorism,
satisfying the emergency time is taken as the premise, andminimizing dispatches cost is taken as the goal, the paper
proposes the solution frame under the related constraints;
meanwhile, it establishes the corresponding mathematics
optimization model. Also the solution algorithm and thecorresponding simulation example are given. Thus, the emergency
effectiveness and the economic efficiency have achieved theorganic unification.
The Study of Factors Impacting on Organizational Innovation in
Financial Holding Company
Chih-Chung Chen1, Yung-Her Yang1, Shi-Ting Hsiung1
1Aletheia University (Matou campus), Taiwan“Innovation counts very much” has been discussed more thatthirty years. Most scholars consider innovation one of the cores inmodern management and strategy. Recently, there have been
many empirical studies on organizational innovation fromviewpoint of organizational culture. And some studies focus onthat from organizational structure. This study will discuss over
the relationships among organizational culture, structure, learning,
and innovation. The samples in the study come from fourteen
financial holding companies in Taiwan. The findings are presented
in the study. Organizational culture has significantly positive
impact on organizational learning and innovation. Organizational
learning has significantly positive influence on organizationalinnovation.
Co-creation Value with Customers and Firm's Capabilities
Xiang Zhang1, Guoxin Wang1, JingChang Shangguan1, Yanqiu Xiao1
1Beijing Institute of Technology, China

Value co-creation with customers is a new source to gain
competitive advantage. However, the research in this area is stillin its early stage. The link between co-creation activities and firm’s
capabilities is not clear. By using multi-industry sample, this study
empirically demonstrates that firms may benefit from value
co-creation with customer by not only gaining new capability but
also enhancing traditional capabilities.
Knowledge Sharing Behavior, Antecedent and its Influence
Towards the Company's Innovation Capability
Hilmi Aulawi1, Iman Sudirman1, Kadarsah Suryadi1, Rajesri Govindaraju1
1Bandung Institute of Technology, Indonesia

This research develops conceptual model to elaborate therelationships between knowledge infrastructure, knowledge
sharing behavior and innovation capability. This research presents
more profound insights on which knowledge infrastructure
regarded crucial in supporting knowledge sharing behavior.
Besides it, explaining how knowledge sharing influences towards
company’s innovation capability. The result of this research is
expected to leverage learning ability towards the development ofknowledge sharing behavior within organization. Moreover thisresearch is also expected to provide referential framework toresearchers and practitioners on the components of knowledge
infrastructure needed to be developed in order to build effective
knowledge sharing behavior in an organization. Our research has
identified several dimensions of knowledge infrastructure which
are considered supporting knowledge sharing behavior:organizational culture, managerial, organizational structure,people, and information technology. This research is based ontheory reasoned action to explain how knowledge infrastructure isable to form knowledge sharing behavior.

Factors and Variables Affecting the Adoption and Practice ofKnowledge Management: an Exploratory Study in the Life
Insurance Companies in Taiwan
Ching-huai Peng1
1China University of Technology, Taiwan Central University, Taiwan

Knowledge management (KM) is crucial for organizations toenhance their competitive advantages. While KM has been used
and operated in the business world for decades, its applications,which involve recognition of knowledge, development of
information system and support of organization, have just been
initiated in Taiwan life insurance industry recently. Accordingly,
KM can be seen as an innovation for the life insurance companies
in Taiwan. This paper attempts to investigate the factors andvariables in the context of life insurance companies in Taiwan. An
exploratory study is undertaken by conducting interviews withten participants, who represent different positions in six life
insurance companies which vary in backgrounds and stages of
KM applications. Content analysis is used to identify the factors
and variables and a comprehensive model of KM adoption andpractice is thus developed. This study provides managerial
implications particularly for those life insurance companies
embarking on KM in Taiwan.
How an Incubating Network Works? Review and Evidence
Dechang Lin1, Zhuoxin Li1, Hong Yin1, Qiang Lu1, Hongwei Wang2
1Shenzhen Graduate School, Harbin Institute of Technology, China
2Zhejiang University, China

Networking is one of the most important services provided byincubators which has significant impact on the performance of
incubated firms. This case study inquires the complex anddynamic process of the formation, development, operation, andeffect of such a networking service. Three kinds of actors –incubated firms, incubator and the third-party stakeholders, areinvolved in the network. The interaction and cooperation among
the actors, the intensity and range of networking influence theperformance of incubated firms from the aspects of resources
acquisitions,relationship-building
andentrepreneurship-nurturing. Some facts collected from a businessincubator located in Shenzhen, China, provide supporting
evidence.
Tie Strengths of Interfirm Network, Market Uncertainty, andInnovation: A Case Study
Xinmin Peng1, Guoqing Yan2, Yuan Sun3, Haibo Zhang2
1Zhejiang University, Zhejiang Wanli Universiy, China
2Zhejiang Wanli University, China
3Zhejiang University, China

This paper rather focuses on analyzing the impact of different
network tie strengths on exploratory and exploitative innovation
success. The case of Haitian Group is employed to explore andexplain the relative propositions. Our key claim is that the benefitsof each type of firm tie not only vary across each other but will be
moderated by market uncertainty such that certain types of ties
will matter more or less under certain conditions. Specially, Strong
ties are valuable in environments that require exploitation, while
weak ties would be more appropriate for exploration. From thefirm as a whole, exploration and exploitation are two essential
innovative models, under which firms need make a reasonablechoice between them according the development stage, market
environment and innovative targets, and maintain the number ofstrong or weak ties at a reasonable proportion.
Pleiotrophy Analysis of a Technology System: An Empirical
Case of iPod
Sanna Puha1, Saku Makinen1
1Tampere University of Technology, Finland

Apple Inc’s product iPod has become the most popular music
player in the markets. There are significant numbers of the
products sold and competitors are trying to imitate Apple’s
successful product. As these are characteristics of dominant
designs in the market we are applying one recent framework by
Murmann and Frenken for analysis of technology system taking
one iPod model as a case example. This model seeks to find thecore and peripheral components of technology systems and in thisway analyze the possible effects of component changes from theuser perspective of perceived services.

Periodic Preventive Maintenance Policy for Finite Horizon with
an Adaptive Failure Law
Jeremie Schutz1, Nidhal Rezg1, J. B. Léger2
1University of Paul Verlaine, France
2President of PREDICT, France

Several periodic preventive maintenance (PM) models have beendeveloped in the literature. This paper introduces an adaptive
failure law which can vary over time depending on the missions
to achieve. From this degradation law, the purpose of this paper isto develop a preventive maintenance policy for finite horizon oftime, noted H, based on a set of improvement maintenance actions
at fixed interval with renewal at time H. The problem is todetermine the number of PM actions which must be performed
using cost criteria. Moreover, the cost and the preventive
maintenance duration depend on a coefficient of quality.
Numerical example is presented to illustrate this policy.
On the Supervisory Control of Marked Graphs
Zied Achour1, Alexandre Sava1, Nidhal Rezg2
1LGIPM / INRIA, France
2University of Paul Verlaine, FranceThis paper presents a control synthesis approach for discrete event
systems modeled by marked graphs with uncontrollable and / orunobservable transitions. It solves forbidden state problems
characterized by a set of General Mutual Exclusion Constraints.
We show that there exist a unique marking from which all otherpossible current markings can be reached uncontrollably by firing
sequences of uncontrollable transitions. This feature allows us todesign efficient control policies based on proper separation ofobservation and control. Taking into account time information
allows generating more permissive controllers by knowing which
is at a certain time the number of token in a place.
Optimal Policy for a Manufacturing System Subjected to
Random Failure and Calling Upon Several Subcontractors
Sofiene Dellagi1, Nidhal Rezg2, Ali Gharbi3
1Universitry of Metz, France
2University of Paul Verlaine, France
3ETS, Canada

In this paper, we have developed an integrated maintenancepolicy for a manufacturing system subjected to a random failureand calling up on several subcontractor machines. The problem
consists on a machine, unable to satisfy a constant demand. That’s
why it called upon another machine, comprising the so-called
subcontractor machine, which produces at a certain rate the same
type of product. In order to assure an economical objective, wehave a choice between several subcontractors having somedifferent data. In this paper we have proved analytically, that the
choice of the subcontractor machine is conditioned by the unit lost
cost due an unsatisfied demand of one product. A numericalexample confirms the analytical results.
Economic Design of Acceptance Control Charts
Fatemeh Mohammadian1, Kamran Paynabar2
1Azad University North branch of Tehran, Iran
2Amirkabor University of Technology, IranAcceptance control charts are one of the effective tools formonitoring capable processes, where the fraction of produced
non-conforming items is very low. Due to high capability of theprocess, in these charts, controlled changes in the process mean
are allowed. Although acceptance control charts are widely usedin practice, it is often designed without considering the economic
aspects that would result in economic drawbacks from the process
and cause in increasing process costs. In this paper to make theacceptance control charts more applicable, an economic model ispresented. In this model, control chart parameters, sample size,
sampling interval, and the control limits coefficient are
determined such that the expected cost of the process is
minimized.

103Supporting Decision-making for Secure Resource Sharing
between Coworkers Using an Affective-based Trust Evaluation
Model
Tsung-Yi Chen1
1Nanhua University, Taiwan

Trust is a particularly crucial issue for virtual project team (VPT)
success because numerous project tasks are interdependent,
making team members reliant on the functional expertise of theirpartners. The challenge to develop trust is particularly complex
because trust should consider various factors into different
assessments made during different VPT phases (early, middle andlate project phases). This study aims to propose an affective-based
trust evaluation model that is applied at the late project phase. The
trust value evaluated by the affective-based sub-model isdetermined based on coworker emotions. Therefore, using themodel during late project phase can assist VPT workers in making
more accurate decisions regarding secure resource sharing withother coworkers.
Optimal Construction Sequencing for Secant Pile Wall
Jieh-Haur Chen1, Li-Ren Yang2, Mu-Chun Su1, Jia-Zheng Lin1
1National Central University, Taiwan
2Tamkang University, Taiwan

Finding the optimal sequence so as to minimizing the construction
time is one of the solutions to lower the construction costs. This
study proposes an effective and efficient optimization algorithm,
Self-Organizing feather Map based optimization (SOMO), tominimize the construction time with an application to a case study
in obtaining the optimal sequences for both primary andsecondary bored piles of a secant pile wall. The SOMO is a new
developed algorithm according to the human brain that is capableof producing topologically ordered mapping, and that can occur
in the evolution of the feature map for optimization. The results
demonstrate that the optimal sequences for both primary andsecondary bored piles are determined with 27.21% of time saving.
The practicability of the SOMO algorithm is substantiated.
Risk Based Maintenance Decision on Power Station High Press
Feed Water System
Yuliang Dong1, Yujiong Gu1, Kunliang Chen1
1North China Electric Power University, China

As an important part of power plant, high press feed water system
is responsible for providing water for boiler incessantly. In
traditional maintenance strategy, replacement or inspection timeis determined just according to overhaul or minimal maintenancestandard items, the result is either maintenance cost increasing
due to excessive maintenance or reliability decreasing due to
deficient maintenance. For the problem, a frame of risk-based
maintenance (RBM) decision is put forward, the expression
method of failure effect and risk is determined, and the optimal
maintenance interval of equipment in system is decided by using
fault tree algorithm. Take the high press feed water system of acertain 300MW unit as example, the maintenance decision is made.
It is shown by the instance that this method is feasible andeffective, and the decision result can be used as a support for
maintenance plan.
Application of the Fuzzy Comprehensive Evaluation Method
Based on Entropy Weight and AHP in Maintenance Mode
Decision of the Power Plant equipment
Kun-liang Chen1, Yu-jiong Gu1, Kun Yang1
1North China Electric Power University, China

Aiming at the difficulty in selecting the maintenance mode of thepower plant equipment with ration, the fuzzy comprehensive
evaluation method based on entropy weight and analytic
hierarchy process (AHP) is suggested in this paper. It combines
entropy weight method with AHP method for against thecasualness and subjectivity of the weight in traditional fuzzycomprehensive evaluation method. With the method, themaintenance mode is divided into some layers composed of index
factors, and the subjective and the objective weights can becalculated to fit the comprehensive weights based up on thecorresponding judgment matrix and fuzzy evaluation matrix. And
then with the principle of fuzzy comprehensive evaluation, themaintenance mode can be finally decided by the comprehensive
weight and judgment matrix. The calculating result of applying104

the proposed method to the example demonstrates that themethod is valid and feasible, and it is capable of evaluating themaintain mode of the power plant equipment for supplying thegist for the condition maintenance decision.
Study on Evaluation System for Economic Effectiveness of
Safety Resources Based on Data of Accounting
Enzhu Li1, Xueyi Zhu2
1Shandong University of Finance, China
2China University of Mining & Technology, China

This paper demonstrates the necessity of establishing theevaluation system for safety resources based on data of accounting
systematically. The author gives the connotations and the featuresof the proposed new evaluation system of the safety resources.
The main viewpoint of the paper includes that evaluation system
for safety resources is used in all units with possible accidents in
production and for estimating and reflecting the effectiveness of
the resources provided in preventing accidents, and also for thecompensation of the losses caused by the accidents in production
within the entire process. On the basis of the connotations of thisevaluation system, the main framework and the model of Data
Envelopment Analysis（DEA）for the new evaluation system is also
explained. The purpose of establishing this evaluation system is topromote effective management and evaluation of safety resources
invested in high dangerous industries and enterprises.
Economics Analysis on Relations of Safety Cost andInternational Trade Competition Ability
Wei Liu1, Zhenduo Liu2
1North China Institute of Science and Technology, Beijing Research for Science of
Science, China
2North China Institute of Science and Technology, China

This thesis analyzes the actual influences to the Harmonization of
Safety and Health Standards (HSHS) and Labor Standard on theinternational trade, and discusses the relations between the safety
protect cost and international trade competition ability by
applying the basic theories of economics. It is concluded that the
influence of safety protect cost of small countries in international
trade on their international trade competition ability is great, but
the influence of safety protect cost of big countries on theirinternational trade competition ability is minor, big countries are
more positive to increase safety invest. Finally, it is suggested thatthe developing countries should oppose the impractical exaltationof labor standards, and that Chinese export enterprises should
adapt to the trend of green safety production in target market andrealize intrinsic safety in work safety.
Study on Multi-agent Based Maintenance Decision Support
System Used for Power Plant Equipment
Yu-jiong Gu1, Xiao-feng Dong1, Jian-jun Wu1, Kun Yang1
1North China Electric Power University, China

With the developing of industry, maintenance has become an
important factor that influences survival and development of thebusiness. There are numerous pieces of equipment in a power
plant, but the maintenance requirement is different for respective
equipment, so making condition based maintenance in a power
plant is a systemic and integrative activity in maintenancemanagement. As an interdisciplinary activity, a special
maintenance decision support system is necessary to aid operating
and maintenance personnel use that knowledge right and well. Asa hotspot of Distributed Artificial Intelligence research, agent
technology is one of the strongest tools for constituting large-scale
distributed and open computer-based systems. This paper briefly
introduces decision support system and agent technology, andpresents an architecture of multi-agent based maintenancedecision support system used for power plant equipment, anddescribes its architecture, function and decision making process indetail.

Testability Demonstration Method of Electronic Equipment
Based on Hypergeometric Distribution

Research of Time-of-Use Electricity Pricing Models in China: A
SurveyYanheng Ma1, Jiuqiang Han1, Gang Li2
1Xi'an Jiaotong University, China
2Ordnance Engineering College, China

Shaolun Zeng1, Jun Li2, Yulong Ren3
1Chongqing University, Sichuan University of Science & Engineering, China
2Sichuan University, China
3Chongqing University, China

Fault detection rate (FDR) and fault isolation rate (FIR) were used
for electronic equipment testability demonstration usually, butthey were not fit for the current electronic test equipment
characteristic. So the demonstration indexes, Fault detection
coverage (FDC) and fault isolation coverage (FIC) were put
forward in this paper. Hypergeometric distribution was instead of
Binomial distribution to show detecting success ratio. Then
maximum likelihood estimate was application in point estimation.
Bayes' formula was used for interval estimation. And testability
demonstration rule was put forward. At last, an example wasgiven to approve the validity and practicability of the new
method.

In this paper, we make a survey on the research of time-of-use(TOU) electricity price and TOU pricing models and methods in
China. We summarize the basic idea, hypothesis and the generalmodel of the following pricing models: (1) TOU pricing model
based on user response, (2) pricing model based on the user
response and customer satisfaction, (3) pricing model based on thelinkage between the generation side and the demand side, and (4)TOU pricing based on game theory. Then we make comparisonsand reviews on these models and methods, analyze theiradvantages as well as the existed deficiencies, and put forward theresearch prospect of the TOU pricing model.

Optimization of Bridge Elements Maintenance Strategy

Value Estimation for Software Product Management

Ying-Hua Huang1, Hsun-Yi Huang1
1National Yunlin University of Science and Technology, Taiwan

Samer Mohamed1, Ayman Wahba1
1Ain Shams University, Egypt

For existing bridges, maintenance activities are important forbridge safety and management. However, the implements ofmaintenance activities cause traffic jams, detours, and thus
tremendous user costs. In order to reduce user costs resulted
from maintenance activities as well as to maintain bridge elements
in good statuses, this paper proposes a concept of bridge elements
concurrent maintenance. The concept of concurrent maintenanceattempts to integrate maintenance timing of different elements ofa bridge in order to reduce user costs from the life-cycle cost pointof view. Constraint programming is conducted to find the
optimal maintenance strategy. The results showed that the
proposed model reduces effectively the total user cost and thetotal life cycle cost of bridge maintenance within the analysis
period.

Value-based approach of software engineering proved to be one of
the most important branches of software engineering because it
elicits and reconciles stakeholder’s value propositions with respect
to the system into a mutually satisfactory set of objectives for thesystem. Thus most of software organizations in market-driven
environment nowadays adopt value-based approach with thefocus on maximizing the value gained from their products against
consumed resources. This leads to a need for a value estimation
methodology to incorporate all the software product value aspects
altogether while measuring the product value. Most of the existing
methodologies focus on measuring the product financial value
and neglect the non-financial value. This measurement will
facilitate quantifying the total value obtained from the productand compare it against planned product budget at early phases ofthe product life cycle. Such comparison will be used as a sort ofjustification for the product feasibility. This paper illustrates a
new estimation methodology for the software product value called“Value Point”. VP measures the value gained from the software
product through quantifying value obtained from each productrequirement. The process for value point counting will beillustrated through a designed product management framework.
A case study is performed to demonstrate the added value fromthe proposed estimation methodology

An Empirical Study on Inexperienced Online Consumer’s
Window Shopping Behavior: a Trust-cost-behavior Model
Fue Zeng1, Hua Zhang2
1Wuhan University of China, China
2City University of Hong Kong, Hong Kong

This paper estimated a model of inexperienced consumers’
window shopping behavior in China context. An empirical study
was conducted in China to test the model. The results indicate thatmany Chinese inexperienced consumers only do window
shopping, at least partly, because they perceived high transaction
cost during e-shopping which induce them to stop more involving.
Moreover, we found that trust propensity tends to decrease
consumers’ perception of transaction cost but dependability andprivate policy tend to enlarge their tolerance of transaction costs
and induce them invest more cost. That means if consumers
develop more and more trust during this e-shopping, they would
be more likely to investing more costs in e-shopping.
Formal Semantics for Component Assembly Pattern of Software
Architecture
Wei Guo1, Sheng Xu1, Renzuo Xu1
1Wuhan University, China

The performance and reliability of component-based softwarearchitectures rely fundamentally on the quality of the components
and the configuration that the system is composed. This paper
analysis the assembly patterns and interaction behaviors ofcomponents at first, then an ontology of the component’s
operation is proposed, which the interactions of components areformalized and abstracted. Based on the in-depth analysis of thecomponent assembly patterns, this paper try to define theassembly patterns in architecture on process algebra theory, which
can establish a practical means of describing and analyzing thecomponent assembly pattern in the software architectures.
Furthermore, the architecture algebra model has been built, which
can set a theoretical foundation for the further research on
analysis and validation of architecture.

105

106

Author Index

107

A
AALAEI, Amin p.55
ABDULLA, Hamzeh p.91
ABDULLAH, Rusli p.65
ABU-SAIF, Ahlam p.91
ACHOUR, Zied p.103
ADIL, Gajendra p.70, 74
AGHAIE, Abdollah p.39, 82
AGNIHOTRI, Geeta p.85
AGUIAR, Antonio p.83
AHMADZADE, Farzane p.45
AHONEN, Toni p.58
AL-AZRI, Fatma p.90
ALBINO, V. p.63
ALBORZI, Saeid p.77
ALDANONDO, Michel p.100
AL-HARTHY, Salim p.99
ALINAGHIAN, Mehdi p.41
ALLAHMANLI, Lutfiye p.55
ALLAHMANLI, Turgut p.53
AL-LAWATI, Yasin p.90
ALMANSA, A. p.100
ALPKAN, Lutfihak p.47
ALVAREZ, Teresa p.59
AMINIAN, A. p.92, 77
ANDERSON-COOK, Christine p.55
ANDRAWINA, Luciana p.66
ANG, Rachel p.69
ANGLBERGER, Norbert p.69
ANISSEH, Mohammad p.52
AOUSSAT, Ameziane p.60
ARI SAMADHI, TMA p.66
ARIGA, T. p.90
ARSENYAN, Jbid Ani p.50
ARUGA, Masahiro p.99
ASGHARI, Mahdi p.53
ATTA, Abdu Mohammed Ali p.44
AULAKH, Sachpreet Singh p.74
AULAWI, Hilmi p.102
AZADEH, Ali p.81, 91, 55
B
BADRI, Hossein p.67
BAHRAMPOUR KIVI, M. p.52
BAI, Tao p.89
BAI, Zhonghang p.55, 61
BAIER, Warren p.96
BANAD, Mahadevi p.76
BANKI, Mohhammad Taghi p.46
BAO, Han p.53
BARABADY, Javad p.53
BARADARAN, Vahid p.98
BAREDUAN, Salleh Ahmad p.42
BARKE, Erich p.46
BARON, Claude p.100
BARROSO, Ana Paula p.95
BASHIR, Hamdi p.90
BASHIRI, Mahdi p.67
BATAINEH, Omar p.91
BAVAR, Parisa p.81
BECK, Sebastian p.70
BECKETT, Ronald p.69
BECKHAUS, Arne p.46
BEHESHTI-POUR, Behnam p.41
BENDALY HLAOUI, Yousra p.81
BENNELL, Julia p.47, 43
BENSLIMANE, Younes p.92
BERGMAN, Bo p.44
BEVILACQUA, Maurizio p.80
BHAMARE, Sunil p.80
BIFFL, Stefan p.49
BISWAS, Partha Pratim p.90
BLUME, Volker p.85
BOLAJRAF, Mohamed p.59
BORGES, Lilian p.51
BOUCHARD, Carole p.60
BOULANGER, Jean-Louis p.78
BOUWHUIS, Inge p.39
BRAUN, Stefanie p.46

108

BREZING, Alexander p.62
BRILL, Eyal p.76
BRISSAUD, Daniel p.60
BROMBACHER, Aarnout p.44
BUTDEE, Suthep p.60
BUTT, Shahid I. p.63
BUYUKOZKAN, Gulcin p.50
C
CAI, Cunqiang p.98
CAI, Jin p.74
CAI, Shun p.72
CAI, Yujun p.81
CANNATA, Alessandro p.96, 60
CAO, Guozhong p.67
CAO, Jin Xin p.75
CATTRYSSE, Dirk p.49
CHA, Jianzhong p.57
CHAABANE, Amin p.71
CHACÓN MUÑOZ, Jesus Miguel p.80
CHAHARSOOGHI, S. Kamal p.95
CHAI, Chunlai p.60
CHAI, Kah-Hin p.65, 44
CHAN, Felix. T. S. p.48
CHAN, L. Y. p.48
CHANG, Ching-Feng p.45
CHANG, I. C. p.64
CHANG, Michael C.S p.82
CHANG, Te-Jeng p.62
CHANG, Teng-Ruey p.74
CHANG, Wen-Jung p.87
CHANG, Wen-Shion p.62
CHAO, Chien-Wen p.48
CHAO, Ching-Yi p.45
CHAO, Li-Chang p.45
CHATTINNAWAT, Wichai p.81, 85
CHATTOPADHYAY, Gopinath p.94, 79,
53, 55CHATZIMICHALI, Anna p.48
CHE, Ada p.42
CHEN, An-Sing p.73
CHEN, Chen p.86
CHEN, Chen-Tung p.68
CHEN, Chie-Bein p.59
CHEN, Chih-Cheng p.68
CHEN, Chih-Chung p.102
CHEN, Chih-Jen p.62
CHEN, Chih-Jou p.96
CHEN, Chi-Yuan p.71
CHEN, Chun-Fu p.96
CHEN, Chung-Yang p.93
CHEN, Chunhua p.80
CHEN, Fei-long p.50
CHEN, Guan-Li p.40, 59
CHEN, Hsin Min p.88, 87
CHEN, Hsin-Lin p.72
CHEN, James K. C. p.57, 76
CHEN, Jiang Tao p.56
CHEN, Jieh-Haur p.104
CHEN, Jin p.89, 66, 40
CHEN, Jin-Jia p.45
CHEN, Jr-Shian p.41
CHEN, Kevin C. Y. p.76
CHEN, Kunliang p.104
CHEN, Kun-liang p.104
CHEN, Le p.97
CHEN, Litian p.66
CHEN, Meihua p.83
CHEN, Mingchih p.86, 55
CHEN, MingNan p.101
CHEN, Pei-Chi p.93
CHEN, Ping-Shun p.84
CHEN, Rongqiu p.61
CHEN, S. G. p.83
CHEN, Shin-Guang p.40
CHEN, Stephen X.J. p.84
CHEN, Tsair-Rong p.45
CHEN, Tsung-Yi p.104
CHEN, Tung-Liang p.53
CHEN, Xiaohong p.94

CHEN, Xin p.47
CHEN, Xuebin p.74
CHEN, Yi p.82
CHEN, Ying-Jun p.82
CHEN, Yi-Shin p.59
CHEN, Yung-Hsin p.71
CHENG, Chih-Hsing p.51
CHENG, Ching-Hsue p.41
CHENG, Kai p.85, 94
CHENG, Sheng-Shyr p.39, 52
CHENG, Ya-Sheng p.56
CHENG, Yu-Shan p.59
CHENG, Yu-Tien p.41
CHIANG, Huei-Min p.84
CHIEN, Te- King p.87
CHIEN, Yu-Hung p.55
CHIOU, Cherng-Ying p.97
CHIOU, Chuang-Chun p.56
CHIU, Jing-Er p.101
CHIU, Jun-Zhi p.88
CHOI, Jin Young p.40
CHOUDHARI, Sanjay p.74
CHU, Chengbin p.42
CHU, Sydney p.42
CHUA, C. W. p.89
CHUANG, Chien-Pen p.62
CHUANG, Ming-Chou p.48
CHUANG, Shan-Ping p.62, 73
CHUNG, Chien-Ping p.61
CHUNG, Tsui-Ping p.48
CHUNG, William p.72
CHUTIMA, Parames p.60
CIARAPICA, Filippo Emanuele p.80
CIMATTI, Barbara p.38
CLARYS, Jan Pieter p.44
CRAUWELS, Herman p.49
CREEMERS, Stefan p.43
CRUZ-MACHADO, Virgilio p.95
CUI, Dongliang p.84
CUI, Han p.74
CUI, Wenjuan p.43
CUI, Yixiu p.59
CUMMINGS, Davette p.81, 56
D
DABROWSKA-KAUF, Grazyna p.55
DAI, Shijie p.102
DE LA FUENTE, David p.43, 99, 92
DE LA SEN, Manuel p.100
DE PRADA, Cesar p.88
DE REYCK, Bert p.43
DE SMET, Yves p.67
DE SOUZA, Robert p.72
DEDEHAYIR, Ozgur p.65
DELLAGI, Sofiene p.103
DESHMUKH, Sunil p.85
DESOUZA, Daniel p.78
DIDEHKHANI, Hosein p.50
DING, Songbin p.77
DJEFEL, Meriem p.100
DODANGEH, Javad p.52
DONG, Xiao-feng p.63, 104
DONG, Yuliang p.104, 63
DORRI, Mehdi p.45
DRIEßEL, René p.62
DU, Xuan p.75, 61
DUAN, Chunzheng p.81
DUAN, Guolin p.74
DUMRONGSIRI, Aussadavut p.70
DUQUENNE, Philippe p.92
E
EBRAHIMIPOUR, Vahid p.81, 91, 55
EBRAHIMNEJAD, Sadoullah p.69
EDWARDS, Gary p.55
ELBENANI, Bouazza p.41
ENKAWA, Takao p.44
ERSOY, Mehmet Sakir p.50

ESMAEELI, Behzad p.46
EYNARD, Benoit p.44
EYVAZIAN, Majid p.101
EZZAT, Aziz p.101

GUO, Weihua p.53
GUO, Xiangyu p.86
GUO, Yinbiao p.102
GUPTA, Pardeep p.53
GÜRTLER, Matthias p.51
GYGER, Tobias p.47

HUNG, Shiu-Wan p.96, 38
HUNG, W. Z. p.68
HUTCHISON, Kenneth p.79
HWANG, Wei-Yi p.97
HYYTINEN, Toni p.77

F
I
FAERBER, Matthias p.93
FAGHIH ROOHI, Shahrzad p.55
FAN, Hsueh-Liang p.64
FANG, Chung-Hsiung p.40, 59
FANG, Kwoting p.82
FANG, Kwo-Ting p.82
FANG, Quangen p.98
FARAMARZI, HamidReza p.95
FATEMI GHOMI, S. M. T. p.92
FAUZUN, Ir p.90
FEI, Weijun p.88
FELDHUSEN, Joerg p.62
FENG, Cheng-Min p.92
FENG, Guoqi p.84
FENG, Jianyong p.56
FENG, Jingchun p.60
FENG, Jixuan p.76
FENG, Wei p.75
FERLAND, Jacques A. p.41
FEYZIOGLU, Orhan p.50
FIORIOLLI, Jose Carlos p.71
FIROUZI, Fatemeh p.72
FOGLIATTO, Flavio p.71
FORBES, Alistair p.85
FRANK, Bjoern p.44
FRANK, Motti p.76
FRISANCO, Thomas p.69
FRONIA, Philip p.70
FU, Xiaozhou p.89
FUNG, Richard Y.K. p.75
G
GAJJAR, Hasmukh p.70
GARCÍA MÁRQUEZ, Fausto Pedro p.80
GASCON, Viviane p.41
GE, Chunjing p.102
GEORGILAS, Ioannis p.75
GEROSA, Marco p.58, 96, 60
GHADAMI, Shohreh p.98
GHARBI, Ali p.103
GHAZALI, Masitah p.65
GHODSIPOUR, Hassan p.92
GIACCHETTA, Giancarlo p.80
GILL, Janpreet Singh p.74
GOH, Mark p.72
GOH, T. N. p.85
GOMEZ-GRAS, Jose Maria p.96
GONEN, Amnon p.76
GOPAKUMAR, Balagopal p.81, 56
GOVINDARAJU, Rajesri p.66, 102
GOYAL, A. p.53
GRAVES, Todd p.55
GREEN, Leela p.76
GRIENITZ, Volker p.85
GU, Junzhong p.83
GU, Yujiong p.104, 63
GU, Yu-jiong p.104
GUAN, Xianjun p.102
GUAN, Zailin p.73
GUENAB, Fateh p.78
GUHA, Himadri p.90
GUJJULA, Rico p.91
GUNDAY, Gurhan p.47
GÜNTHER, Hans-Otto p.49, 91
GUO, Bin p.64
GUO, Jingjing p.64
GUO, Kaizhong p.51, 59
GUO, Lina p.53
GUO, Peijun p.67
GUO, Peng p.68, 52
GUO, Qiwei p.51, 59
GUO, Wei p.105

H
HA, Duy Long p.48
HABIBULLAH, M. Salahuddin p.78
HADDAD, Assed p.78
HAIT, Alain p.92
HAJI, Alireza p.43
HAJI, Rasoul p.43, 94
HAMADA, Michael p.55
HAMDI, M. p.90
HAMPDEN-TURNER, Charles p.40
HAN, Chunmei p.86
HAN, Fengjing p.96
HAN, Jiuqiang p.105
HAN, Kwan Hee p.39
HAN, Qingmiao p.58
HARTMANN, Wiebke p.70
HARUN, Khir p.94
HASAN, Sulaiman p.42
HASHEMI, Hassan p.50
HASSAN, Adnan p.100
HAZRA, Jishnu p.72
HE, Liang p.83
HELO, Petri p.74
HEMILÄ, J. p.87
HENDI, Amir Mahdi p.94
HENSBERRY, Joan p.81
HEYDAR, Mojtaba p.73, 49
HEYDARI, Jafar p.95
HINRICHS, Neele p.46
HO, Chengter p.38
HO, Stephen p.73
HONG, Dongphyo p.81
HONG, Ki-sung p.87
HONG, Ruyan p.64, 66
HOU, Forest p.75
HOU, Hsing-yu p.76
HOU, Tung-Hsu p.76
HSIEH, Chao-Chen p.88
HSIUNG, Shi-Ting p.102
HSU, Chang-Hsien p.71
HSU, Chia-Wei p.97
HSU, Jih-Shih p.98
HSU, Lien-An p.51, 52, 64
HSU, Pi-Shan p.62
HSU, Tsung-Shin p.62, 85
HU, Hsin-Yun p.96
HU, Hui-Jiun p.76
HU, Junfei p.68, 52
HU, Qingpei p.86
HU, Shenping p.98
HU, Yujin p.48
HUANG, Chiao Tzu p.72
HUANG, Chien-Shih p.41
HUANG, Ching-Lien p.85
HUANG, Dongbing p.59
HUANG, Feng-Yi p.74
HUANG, George Q. p.47
HUANG, Guangchao p.56
HUANG, Haw-Lieng p.88, 87
HUANG, Hsun-Yi p.105
HUANG, Huei-Chuen p.49
HUANG, Jing-Hong p.59
HUANG, Kuo-shien p.83
HUANG, Rong-Hwa p.73
HUANG, Shih-Miao p.99
HUANG, Tsu-Te p.97
HUANG, Tung-Chen p.100
HUANG, Weijun p.48
HUANG, Ying-Hua p.105
HUANG, Yuansheng p.86
HUI, Eddie C.M. p.56
HUNG, Chiao-Ju p.61
HUNG, Hsu-Feng p.51, 52

INOUE, Shinji p.54
ISHIBASHI, Takazumi p.63
ISMAIL, Yusof p.72
ISO, Keiichi p.63
J
JABLONSKI, Stefan p.93
JADIDI, Omid p.72
JAIN, Apurva p.70
JAISHANKAR, Deepa p.53
JANSSON, Kim p.87
JARVENPAA, Heini p.38
JASSBI, Javad p.52, 72
JAVADI, Babak p.75
JAWARE, Rajesh p.38
JAYANT, A. p.53
JEANG, Angus p.93, 61
JEMNI BENAYED, Leila p.81
JENG, W.-H. p.83
JEONG, Donghwa p.68
JEONG, Yong-Kee p.56
JHENG, Wei-Cai p.87
JIA, Fu p.87
JIA, Suling p.69
JIA, Wei p.58
JIA, Xiaoxiao p.88
JIA, Yeqing p.88
JIAN, Jinbao p.49
JIANG, Lizi p.65
JIANG, Wei p.44
JIANG, Zijun p.40
JIAO, Hao p.64
JIAO, Jianxin(Roger) p.99, 60, 58
JIMENEZ, Erika p.41
JIN, Lu p.66
JO, Young Hyo p.39
JOCHAUD, Florent p.93
JOSEPH, O.A. p.91
JUNG, Jae-Yoon p.83
K
KAATAJA, Mikko p.62
KACHIENGA, Michael p.93
KALDI, Arman p.86, 39
KANG, Chao-Chung p.92
KANG, Hai-Ling p.87
KANG, Ya-Chin p.40, 59
KANT, R. p.39
KAO, C. Y. p.68
KAO, Yucheng p.61
KARG, Lars p.46
KARSAK, E. Ertugrul p.67
KATO, Shuichi p.99
KE, Yudong p.102
KEKÄLE, Tauno p.74
KENGPOL, Attakorn p.101
KHADEM, Mohammad p.99, 90
KHADEMZADEH, Ahmad p.79
KHALID, Rameez p.92
KHAROUNE, Mourad p.71
KHASAWNEH, Mohammad p.81, 56
KHIABANI, Vahidhossein p.55
KHOO, Michael Boon Chong p.44
KHOSHALHAN, Farid p.39
KILIC, Kemal p.47
KIM, Gyutai p.46
KIM, Hyun-Jin p.56
KIM, Kwang-Jae p.56
KIM, Man Jae p.40

109

KIM, Song-Kyoo p.66
KO, Chao-Tan p.40
KOLOWROCKI, Krzysztof p.78
KONG, Jaehyun p.83
KONGPRASERT, Nattapong p.60
KOOCHAKI, Javid p.39
KOURI, Ilkka p.62
KREIMEYER, Matthias p.51
KRISHNAMOORTHY, Sivakumara
Kannappan p.62
KUANG, Mo p.84
KUMAR, Arun p.58
KUMAR, Uday p.53
KUMAR, Usha Anantha p.51, 74
KUO, Chiu-Yen p.92
KUO, Tsen-I p.101
KWONG, C. K. p.93
L
LACKES, Richard p.95
LAI, Hong Feng p.83
LAI, Junyong p.82
LAI, Kim Teng p.50
LAI, W.L. p.87
LAI, Yufeng p.56
LAKHE, Ramesh p.85
LAMBRECHT, Marc p.43
LAMSALI, Hendrik p.90
LANNE, Marinka p.58, 78
LARSSON-KRAIK, Per-Olof p.53
LAUER, Wolfgang p.93
LE, Minh Hoang p.48
LEE, Carman Ka Man p.84
LEE, Chulung p.87
LEE, Der-Horng p.75
LEE, Hwey-Chyi p.39, 52
LEE, Keon Myung p.40
LEE, Pei-Hsi p.79
LEE, Soo-Ha p.56
LÉGER, J. B. p.103
LEI, Xinghui p.87
LEI, Xing-hui p.95
LEUNG, Mark p.73
LEUS, Roel p.43
LI, Chang p.60
LI, Changhua p.78
LI, Chenliang p.58
LI, Enzhu p.104
LI, Feng-Chia p.45, 50
LI, Gang p.105
LI, Jie p.93
LI, Jiefang p.80
LI, Jindong p.76
LI, Jinghua p.58
LI, Jun p.105
LI, Junqing p.86
LI, Na p.75
LI, Nan p.57
LI, Peigen p.73
LI, Shuang p.86
LI, Wangfang p.89, 40
LI, Wenkai p.72
LI, Xiangdong p.55
LI, Xiaomei p.87
LI, Xiaozhi p.43
LI, Xinyou p.86
LI, Yanfu p.85
LI, Yuanyuan p.81
LI, Zhi-xiang p.58
LI, Zhuoxin p.103
LI, Zongbin p.75, 61
LIAN, Benning p.55
LIANG, Junjun p.68
LIANG, Yanhua p.52
LIAO, Ching-Jong p.48
LIAO, Shu-Hsien p.87
LIM, Hyun-Min p.56
LIMERE, Veronique p.58
LIN, Chang-Ching p.100
LIN, Chengwei p.78

110

LIN, Chin-Huang p.96
LIN, Chun-Ta p.62
LIN, Chwen-Yea p.82
LIN, Dechang p.103
LIN, Jia-Zheng p.104
LIN, Jin-Cherng p.61
LIN, Jing p.80
LIN, Ming-Ching p.74
LIN, Mu p.49
LIN, Shieu-Hong p.84
LIN, Shi-Woei p.51
LIN, Sin-Yi p.57, 76
LIN, Su-Sui p.82
LIN, Tyrone T. p.59, 87
LIN, Yi-Kuei p.40
LIN, Yuan-Hsu p.68
LIN, Yueh-Ling p.98
LINDEMANN, Udo p.46, 93, 51
LING, Chao-Shi p.45
LING, Ling p.48
LIOU, Dian Yan p.98
LIU, Changbin p.58
LIU, Chih-Ming p.85
LIU, Fang p.61
LIU, Guangliang p.86
LIU, Haitao p.64
LIU, Jiyin p.90
LIU, Liming p.71
LIU, Tao p.78
LIU, Wei p.67, 104
LIU, Wenting p.69, 65
LIU, Xiao p.54
LIU, Xin p.58
LIU, Xuan p.67
LIU, Ya p.42
LIU, Yang p.97, 75
LIU, Zhenduo p.104
LIU, Zhong p.102
LO, Chien-Chung p.88, 87
LO, Li-Wen p.72
LO, Victor p.47
LOH, Han Tong p.65, 89
LOU, Dong p.66
LOZANO, Jesus p.99
LU, Qiang p.103
LU, Qing p.72
LU, Ting-Chun p.51, 52
LU, Wanbo p.54
LU, Wen Feng p.65, 89
LU, Wen-Min p.96
LU, Xiangnan p.93
LU, Y. p.64
LU, Yaobin p.83
LU, Yiping p.57
LUO, Xinggang p.97
LUONG, Lee p.50
LYNN, John p.46
LYU, JrJung p.84, 101, 53
M
MA, Li p.73
MA, Shihua p.94
MA, Yanheng p.105
MACHADO, Virginia p.95
MAHDAVI, Iraj p.75
MAHDAVI, Mohamad p.54
MAHDAVI, Mojtaba p.54
MAJUMDER, Manik p.54
MAKINEN, Saku p.103, 38, 65
MALEKLY, Hooman p.50
MALIHI, seyyed ehsan p.98
MALIK, Mohsin p.95
MAO, Zhaofang p.87
MARESCHAL, Bertrand p.67
MARIAN, Romeo p.50
MARTINEZ-MATEO, Jesus p.96
MATHEW, A G p.54
MATSUI, M. p.70
MAY, Ming-Der p.94
MEETHOM, Warapoj p.101

MERDAN, Munir p.49
MESGARPOURTOUSI, Esmaeil p.102
MESSENI PETRUZZELLI, Antonio p.63
MIN, Dae-Kee p.56
MIRA-SOLVES, Ignacio p.96
MISHINA, Tsutomu p.63
MISRA, Harekrishna p.90
MITREA, C.A. p.84
MOHAMED, Samer p.105
MOHAMMADI, Shahriar p.86
MOHAMMADIAN, Fatemeh p.103
MOHD NOR, Mohd Zali p.65
MOHD. YUSUFF, Rosnah Binti p.72, 52
MOINZADEH, Kamran p.70
MOJARAD, Salim p.75
MOJTAHEDI, S. M. H. p.50, 92, 73, 69, 77
MÖNCH, Lars p.62
MONTERREY, Manuel p.92
MORGADO, Cláudia p.78
MOSER, Thomas p.49
MOUSAKHANI, Morteza p.52
MOUSAVI, S. M. p.50, 92, 73, 69, 77
MUELLER, Egon p.69
NN., Suresh Kumar p.91
NEMERY, Philippe p.67
NG, Adam T.S. p.49
NG, Junyong p.49
NG, Kien Ming p.90
NG, R.S. p.46
NG, Szu Hui p.90, 86
NGAI, BKK p.47
NIMSAARD, Nonticha p.60
NISHIHARA, Michi p.69
NOOROSSANA, Rassoul p.45, 101
NUREIZE, Arbaiy p.52
NYEOW, L. S. p.65
NYHUIS, Peter p.70
O
OJANEN, Ville p.58
OKOGBAA, O. G. p.63
OMAR, Mohamed K. p.47, 43
ÖNAY, M. B. p.77
ONO, Shuichiro p.99
ONU, Stephen p.69
ÖRTENGREN, Roland p.77
OSORIO, Maria A. p.41
P
PALACIN, Luis p.88
PALIWAL, Mukta p.51
PAN, Songting p.60
PAN, Yuxia p.86
PANAHI, Hadi p.49
PANDEY, Mukes Kumar p.38
PAPAELIAS, Mayorkinos p.80
PAQUET, Marc p.71
PARDO, Maria Jose p.43
PARIDA, Aditya p.79
PARK, Jinwoo p.83
PARK, Jun Woo p.39
PARK, Young C. p.76
PAYDAR, Mohammad Mahdi p.75
PAYNABAR, Kamran p.103
PEI, Xiaobing p.57
PENG, Ching-huai p.103
PENG, Rui p.86
PENG, Xinmin p.64, 66, 103
PENG, Yunfang p.73
PILEVARI, Nazanin p.72
PILKINGTON, Alan p.65
PLOIX, Stéphane p.48
POPKOV, Yuri p.43
POURGHADERI, Ahmad Reza p.42, 41

PRETORIUS, Leon p.78
PROVYN, Steven p.44
PUANGDOWNREONG, Deacha p.47
PUHA, Sanna p.103
Q
QI, Ershi p.87
QIAN, Meng p.102
QIAN, Wei p.86
QIU, Min p.95
QUAN, Ran p.49
QUIGLEY, John p.79
QUINTANA, Rolando p.73
R
R, SudhakaraPandian p.75
RADFAR, R. p.52
RADFAR, Reza p.52
RAHARJO, Hendry p.44
RAHMAN, Anisur p.79
RAIYAT ALIABADI, Maryam p.79
RAIYAT ALIABADI, Mohammd p.79
RAJEEV, N. p.70
RAMAKRISHNAN, Kumaran p.43
RAMAMURTHY, Keshavamurthy p.83
RAMCHANDRAN, K P p.54
RAMUDHIN, Amar p.71
RANGAN, Alagar p.55
RATHORE, Ajay Pal Singh p.80
RAZA, Mohammad p.79
REDDY, Venkatarami p.53
REILLY, Thomas p.44
REINHART, Gunther p.47
REIS, Antonio p.83
REN, Lei p.83
REN, Yulong p.105
REUNANEN, Markku p.58
REZG, Nidhal p.103
REZVANIZANIANI, Seyed Mohammad
p.53
RIEDEL, Ralph p.69
RIZWAN, Syed p.54
ROBERTS, Clive p.80
ROBERTSON, Peter p.95
ROELOFSEN, Julia p.93
ROUCOULES, Lionel p.44
RU, Yi p.77
S
S S, Mohapatra p.75
SABAHNO, Hamed p.43
SADINEJHAD, Soheil p.50
SADIWALA, C. M. p.85
SAFWAT, Tarek p.101
SAGHAEI, Abbas p.101
SAHU, S. p.75
SAHU, V. K. p.85
SAJADIFAR, Mehdi p.94
SALAZAR, Johanna p.88
SAMIMI, Yaser p.82
SANCHEZ, Abraham p.41
SANZ, Eduardo p.59
SARMA, Sanjay p.73
SARSAMA, Janne p.78
SASTRE, Estefania p.59
SATO, Tsukasa p.99
SAVA, Alexandre p.103
SCAFOGLIERI, Aldo p.44
SCHMIDT, Matthias p.70
SCHON, Walter p.78
SCHUTZ, Jeremie p.103
SECKINER, Serap Ulusam p.77
SEIDEL, Manuel p.39
SEIDEL, Rainer p.39
SELAMAT, Mohd Hasan p.65
SENER, Zeynep p.67

SEO, Yoonho p.68, 81SEPPÄNEN, Marko p.66
SEYED HOSSEINI, S. M. p.72
SEYEDHOSSEINI, S.M. p.50
SHAHRIARI, Mohammad p.77
SHAMSUZZOHA, AHM p.74
SHAN, Chu p.83
SHANGGUAN, JingChang p.64, 60, 102,61, 63
SHEKAR, Aruna p.96
SHEN, Yan p.80
SHI, Chun-sheng p.96
SHI, Hushan p.61
SHI, Jianxin p.56
SHI, Qi Xin p.75
SHIBATA, Takashi p.69
SHIEH, Shien Chii p.100
SHIKDAR, Ashraf p.99
SHIM, Sung p.58
SHIMAZAKI, Yoshiaki p.63
SHIN, Wan-Seon p.56
SHOJAEI, Ehsan p.81, 55
SHU, Lang p.93
SHU, Lianjie p.44
SHU, Yonggang p.40
SHUAI, Jia-Jane p.68
SHYU, Joseph Z. p.62
SI, Shubin p.97
SIMON, Marc p.69
SINGH, M.D p.39
SOHN, So Young p.40
SOLEIMANPUR, Maghsud p.75
SONG, B. p.46
SONG, Haiyan p.60, 61
SONG, Heqing p.72
SONG, Ruixiang p.86
SORENSEN, Kenneth p.49
SOSZYNSKA, Joanna p.78
SOTO, J. C. p.100
SRIDHARAN, R. p.91, 81, 91
SRIHARI, Krishnaswami p.81, 56
STEWART, Rodney p.97
SU, L. H. p.48
SU, Mu-Chun p.104
SU, Taoyong p.87
SU, Yi-fen p.88
SUDIRMAN, Iman p.66, 102
SUN, Houfang p.64, 84, 63
SUN, Jie p.65, 89
SUN, Jing p.70
SUN, Jinying p.58
SUN, Tien-lung p.82
SUN, Yuan p.103
SUNDARAKANI, Balan p.72
SUPPIAH, Yasothei p.47
SURYADI, Kadarsah p.102
SUWANNARONGSRI, Supaporn p.47
SYAFIIE, S. p.88

TANG, Zhongjun p.94
TANI, Giovanni p.38
TAPANINEN, Aija p.66
TAVAKKOLI-MOGHADDAM, Reza p.73,
41, 49TAY, Christina p.87
TENG, Hsi-Che p.38
TEO, Siew Chein p.47
THOMSON, Robbie p.46
THONGRATTANA, Phatcharee p.95
TIAN, Jiming p.89
TIAN, Qing p.59
TOLOIE ESHLAGHY, A. p.52
TOLOIE ESHLAGY, Abbas p.52
TONG, Hongzhi p.81
TONG, Jiejuan p.78
TONG, Shurong p.44
TONTOWI, A. E. p.90
TORABI, Seyed Ali p.42
TORNG, Chau-Chen p.79
TORSAKUL, Sirichai p.62
TOSHEV, Rayko p.97
TOURASSIS, Vassilios p.75, 48
TOUSI, Mani p.102
TSAI, Shuo-Chang p.71
TSAI, W.L. p.93
TSAI, Wen-Hsuan p.57
TSENG, Ming-Lang p.68
TSENG, Yuan-Jye p.74
TU, Chan-Yu p.94
TU, Chia-Ching p.98
TU, Chien-Chung p.82
TU, Gu-Han p.100
U
ULUSOY, Gunduz p.47
V
V., Vinod p.81
VAGHEFI, Abolfazl p.101, 45
VALIBEIGLOO, Mahmoud p.53
VAN DE VRANDE, Vareska p.66
VAN LANDEGHEM, Hendrik p.58
VAN OUDHEUSDEN, Dirk p.49
VANHAVERBEKE, Wim p.40, 66
VAREILLES, Elise p.100
VARMA, Vineet p.94
VARTANYANS, N. p.52
VASARA, Juha p.77
VERDU-JOVER, Antonio p.96
VERLINDEN, Bart p.49
VEZZETTI, Enrico p.100
W

T
TADAYON, Sahar p.91
TADEO, Fernando p.88
TAI, Chia-Chi p.73
TAI, Guangfu p.59
TAISCH, Marco p.58, 96, 60
TAJDIN, Ali p.75
TAKAGI, Kiyotaka p.99
TAKALA, Josu p.97
TALAWAR, Mahadev p.76
TALEBI, Jafar p.42
TAN, Kay Chuan p.66
TAN, Kim p.51
TAN, Runhua p.55, 61, 67
TANAKA, Hideo p.67
TANG, Jiafu p.97, 75
TANG, Loon Ching p.54, 80
TANG, Sai Hong p.72
TANG, Shun-ming p.83
TANG, Yun p.43, 49, 81
TANG, Zhi p.97

WAHBA, Ayman p.105
WAHYUDIN, Dindin p.49
WAIT, Andrew p.39
WALLACE, Joanne p.44
WALLS, Lesley p.79
WANG, Aimin p.84
WANG, An-Pang p.38
WANG, Che-Fu p.57
WANG, Chung-Shing p.74
WANG, Di p.57
WANG, Guoxin p.60, 84, 102, 61
WANG, Gwo-En p.50
WANG, Haibo p.80
WANG, Hongwei p.103
WANG, Huaiqing p.86
WANG, I-Chen p.97
WANG, JinRen p.64
WANG, Kanliang p.42
WANG, Keqin p.44
WANG, Ling p.84
WANG, Liqun p.64
WANG, Mao-Jiun p.98

111

WANG, Min p.86, 55
WANG, Minjie p.81
WANG, Peng-Kai p.45
WANG, Qian p.84
WANG, Qiang p.69
WANG, Qinruo p.51, 59
WANG, Ran p.89
WANG, Runhong p.64
WANG, Shanshan p.72
WANG, Shengyong p.81, 56
WANG, Shiqiang p.86
WANG, Tai-Yue p.84
WANG, Wanshan p.57
WANG, Wei-Ling p.72
WANG, Wenping p.86
WANG, Xia p.102
WANG, Xiaofeng p.58
WANG, Xuelin p.48
WANG, Yu p.86
WANG, Zhong Ming p.56
WANI, V.P. p.38
WATADA, Junzo p.52
WEI, Jiang p.65
WEN, Ching-Feng p.41
WEN, Jianping p.61
WIBBELMANN, Marco p.85, 94
WILLIAMS, Peter p.59
WONG, T. C. p.48, 93
WONGMONGKOLRIT, Sakon p.79
WRIGGERS, Felix p.70
WU, Chi-Chuan p.87
WU, Chun-Hui p.69
WU, Du p.99, 60
WU, Jian-jun p.104
WU, Jian-Kuan p.61
WU, Lei p.57
WU, Xiaobo p.64
WU, Xinye p.102
WU, Yu-Lung p.82
WU, Zhang p.45, 44
X
XIA, Weiwei p.83
XIANG, Yiming p.40
XIAO, Jing p.75, 94
XIAO, Yanqiu p.60, 84, 102, 61, 63
XIE, Baozhi p.59
XIE, M. p.85
XIE, Min p.80, 78
XIE, Shengxian p.86
XIONG, Wei p.75
XU, Chao p.59
XU, He p.71
XU, Houbao p.53
XU, Jiuping p.67, 57
XU, Lei p.58
XU, Qingrui p.66
XU, Renzuo p.99, 105
XU, Sheng p.105
XU, Yimin p.94
XUE, Qiang p.60, 61
XUE, Qing p.84
Y
YADAV, Om Prakash p.80
YAKHCHALI, Siamak Haji p.92
YAMADA, Shigeru p.54
YAN, Guoqing p.66, 103
YAN, Pengyu p.42
YAN, Yan p.64, 60
YAN, Ying p.86
YANG, Chang-Lin p.62, 73, 85
YANG, Chia-Han p.62
YANG, Chyan p.88
YANG, Fenghong p.81
YANG, Jianmei p.56
YANG, Kun p.104
YANG, Linfeng p.49

112

YANG, Li-Ren p.104
YANG, Mei p.45
YANG, Naiding p.42
YANG, Pei-Chi p.82
YANG, Q.Z. p.46
YANG, TaiFu p.100
YANG, Xi p.99, 60
YANG, Yu p.61
YANG, Yung-Her p.102
YANG, Zhihui p.43, 49
YANG, Zijiang p.92
YANO, Hitoshi p.41
YAO, Kun p.86
YAO, Li p.102
YAO, Sha-sha p.57
YAO, Tao p.74
YEH, Cho Hua p.45
YEN, Chia-Chen p.98
YI, JingBing p.64
YIN, Hong p.103
YIN, Jun p.90
YOHANES, Kristianto Nugroho p.71
YOO, Jin-Sung p.56
YOON, Chui Young p.40
YU, Ge p.57
YU, Jia-qing p.57
YU, Keming p.101
YU, Minglu p.56
YU, Tianbiao p.57
YU, Wenhao p.89
YU, Xiangzhen p.89
YUAN, Benjamin J. C. p.76
YUAN, Guo Fang p.38
YUAN, Jinsha p.43
YUAN, Xinwei p.64
YUE, Wuyi p.62
Z
ZENG, Fue p.105
ZENG, Shaolun p.105
ZHANG, Aiguang p.89
ZHANG, Chaoyong p.73
ZHANG, Faping p.63
ZHANG, Gang p.38
ZHANG, Haibo p.66, 103
ZHANG, Hua p.105
ZHANG, Jian p.69
ZHANG, Jianguo p.60, 61
ZHANG, Jun p.97
ZHANG, Ke p.95
ZHANG, Mingli p.58
ZHANG, Mu p.82
ZHANG, Peng p.61, 61
ZHANG, Shuang p.98
ZHANG, Tiefeng p.43
ZHANG, Wei p.98
ZHANG, Weiming p.102
ZHANG, Wen p.59
ZHANG, Xiang p.60, 102, 61
ZHANG, Xu p.74
ZHANG, Yang p.58
ZHANG, Yingfeng p.47
ZHANG, Yuanyuan p.89
ZHANG, Zhe p.71, 67
ZHANG, Zhengyi p.48
ZHAO, Jun p.78
ZHAO, Kai p.57
ZHAO, Lindu p.102
ZHAO, Shengdun p.61
ZHAO, Xiujuan p.62
ZHAO, Xu p.98, 88, 89
ZHENG, Haiyan p.49
ZHENG, Li p.75
ZHENG, Xue p.59
ZHENG, Yanyan p.99
ZHENG, Yisong(Lydia) p.84
ZHOU, Feng p.99, 60
ZHOU, Jianguo p.89
ZHOU, Jing p.57
ZHOU, Min-fei p.65

ZHOU, Pang p.58
ZHOU, Qi p.66
ZHOU, Ying p.60
ZHOU, Yuan p.40
ZHU, Huiming p.80, 101
ZHU, Minyue p.42
ZHU, Rui p.102
ZHU, Wenyun p.72
ZHU, Xiang p.71
ZHU, Xueyi p.104
ZHU, Yonglu p.102
ZHU, Yuming p.68
ZOMPÌ, Antonio p.100
ZOU, Weihong p.98, 88, 89

Services
Post Conference Visits (Requires Advance Booking & Payment)
Please Present Ticket To Coach Driver•Visit to Nanyang Technological University (NTU) and
Forum “IEEM: State and Future”
Thu – 11 Dec 2.30pm to 5.30pm at Lecture Theatre/
Multipurpose Room, NTU
Coach departs Furama Hotel 1.30pm and returns by 6.30pm•Visit to National University of Singapore (NUS) and Symposium“Service Science, Management and Engineering (SSME)”
Thu – 11 Dec 2pm to 5.30pm at University Hall, NUS
Coach departs Furama Hotel 1.15pm and returns by 6.15pm

Internet Access
9, 10 & 11 Dec, Monday, Tuesday & Wednesday
Outside VIP Room – Level 3

Useful Telephone Numbers
Conference Secretariat – Meeting Matters International
Cheng-Hoon KHOO (Ms), Conference Manager
Tel: (65) 9819 9464 Email: info@ieem2008.org
Dalong LUO (Mr), Speaker Manager
Tel: (65) 9125 9191 Email: dalong@meetmatt.net
Patrick CHA (Mr), Operation Manager
Tel: (65) 9125 9090 Email: info@ieem2008.org
Leah AGUILAR (Ms), Conference Secretary
Tel: (65) 9125 9292 Email: info@ieem2008.org
Emergency Services
Police: 999
Police Hotline: 1800 2250000
Ambulance Service & Fire Service: 995
Ambulance Service (for Non emergency): 1777
Emergency Road Service (24 hours): 6748 9911
Transport Services
City Cab: 6552 2222
Comfort Cab: 6552 1111
SMRT Taxis: 6555 8888
Tibs Cab: 6552 8888
Trans Cab: 6555 3333
Silver Cab: 6363 6888
Yellow-Top Cab: 6552 2828
MRT Information Centre (NE & EW Lines): 1800 336 8900
About Singapore
Tourist Information Hotline: 1800 736 2000
City Search: 1900 777 7777
Flight Information: 1800 542 4422
Time of Day: 1711
Weather: 6542 7788
Credit / Charge Cards
American Express: 6299 8133
Diners Club: 6294 4222
Visa Card: 1800 345 1345

Citibank: 6225 5225
Master Card: 6533 2888

113

Services
Complimentary Shuttle Service(Enquire at the Hotel Information Desk)
Take the hotel’s complimentary shuttle bus service to Orchard Road, or
navigate through the historical shop houses in Chinatown that arebrimming with bargains and exquisite local fare.

Tiong Bahru Estate
Visit the local eateries that dot the shop houses surrounding the hotel orrelish in the bustle of a typical wet market at the Tiong Bahru Estate. With
its curious mix of art deco and local architecture, discover Singapore's firstpublic housing estate build in the 1930's.
Today, Tiong Bahru has carved a name for itself amongst bona fide gourmets.
Here, you can find everything from simple hawker fare to cafes dotting
the road lanes around the estate.
Chinatown
Navigate through street bazaars tucked between historical shop houses
brimming with irresistible bargains and intricate Chinese handicrafts.
Lookout for hawkers at the Chinatown Food Street – handpicked byculinary experts to recreate the street stalls of yesteryear. Don’t forget tovisit the majestic Sri Mariamman Temple, Singapore’s oldest Hindu temple
along Chinatown’s Temple Street.
Orchard Road
Take the complimentary shuttle bus to the shopping haven of Singapore
for endless shopping. Meander through affordable designer-wear, highend boutiques, novelty shops, chic gourmet restaurants and themed bars.
Clarke Quay
See the legacy of Singapore's history by cruising down the Singapore River
in an authentic bumboat. The cruise passes godowns and old shop houses
that have since metamorphosed into hip themed eateries, bars and premiernightclubs.

114Services
What to do and Where to go in Singapore(Own Time Own Target or Book A Tour at the Hotel Tour Desk)

Butterfly Park & Insect Kingdom
With more than 3,000 species of butterfly and insect specimens, it is oneof the world’s largest collections.
Open: 9am – 6.30pm daily (last entry 6pm).
Getting There: Take the Sentosa Bus from Habourfront Centre Interchange(just next to Harbourfront MRT station). On Sentosa, take the bus on theBlue or Green Line.
Jurong Bird Park
Fly, flap, flutter, float… With over 9,000 feathered friends from 600 species,
Jurong Bird Park is one of Asia Pacific’s most impressive bird parks.
Open: 9 am - 6 pm (daily).
Getting There: Take the MRT to Boon Lay Station (EW27), and then take
SBS Transit bus 194 or 251.
Night Safari
As the sun sets, a different world comes to life. At the Night Safari, you
can look a rhinoceros in the eye, hear the howls of a pack of striped hyenas
or watch giraffes glide serenely across the plain in the still of the night.
Open: 6pm to midnight (daily), Last ticket sale: 11pm.
Getting There: Take the MRT to Choa Chu Kang Station (NS4), then board
SMRT Bus 927 to the zoo. Or take the MRT to Ang Mo Kio Station (NS16),
and then board SBS Transit bus 138. to view MRT route map.
Singapore Zoo
Tired of having the usual breakfast? Then feast with an orang utan, theOriental small-clawed otter, or even the reticulated python!
Open: 8.30 am – 6.00 pm.
Getting There: Take the MRT to Choa Chu Kang Station (NS4), and thenboard SMRT Bus 927 which takes you all the way to the zoo. Or take the
MRT to Ang Mo Kio Station (NS16), and then board SBS Transit bus 138.
Underwater World
Situated on Sentosa, Underwater World is a dream haven which showcases
the awe-inspiring beauty of a whole different world beneath the seas.
Open: 9am-9pm (last admission at 8.30pm) Dolphin Lagoon: 10.30am6.00pm (last admission at 5.30pm).
Getting There: To Underwater World Singapore (UWS), take the bus on
the Blue, Red or Green Lines. To Dolphin Lagoon, take the bus on the
Yellow or Red lines.
National Museum of Singapore
At 119 years old, the National Museum of Singapore is Singapore’s biggest
and oldest museum with the youngest and most innovative soul.
Open: Singapore History Gallery, 10am – 6pm Daily
Singapore Living Galleries, 10am - 9pm Daily(Free admission from 6pm-9pm)
Getting There: The nearest MRT stations are Dhoby Ghaut (NS24) & City
Hall (EW13/NS25). The Museum is a 10-minute walk from these stations.

115

Notes116