2012 IEEE International Conference on
Industrial Engineering and Engineering Management

IEEM2012

10 to 13 December 2012, Hong Kong
Hong Kong Convention and Exhibition Centre

www.IE

EM.orgOrganized byIEEE Technology Management Council
Singapore Chapter

IEEE Singapore Section

IEEE Systems, Man, & Cybernetics
Society Hong Kong Chapter

2013

10 - 13 DECEMBER, BANGKOK

Swissotel Le Concorde

The IEEE International Conference on

Industrial Engineering and Engineering Management
www.ieem.org(Paper Submission Deadline: 1 June 2013)

Free Wi-Fi Internet AccessFree Wi-Fi Internet Access1.Select “HKCEC_FREE_WIFI” network
2.Open your web browser and access any web page.
3.Click the “I Accept” button on “Terms & Conditions" page.
4.You should be redirected to the HKCEC web page.
Internet access is now enabled.
Note:- The wireless Internet service will disconnect if the connection
is idle for over 30 minutes.
- The usage is limited to 60 minutes upon log-in.

CONTENT PAGE
1

Welcome Message by Conference Chairs

4

Keynote Presentations & Meet-the-Editors Panel

2
7
8

11

35

103
107
110

Organizers & Committees
Speaker Guides

Program Overview

Session Schedules & Floor Plan
Abstracts

Author Index

Conference Services & Tours
In and Around Wan Chai

Conference Venue

Hong Kong Convention and Exhibition Centre
1 Expo Drive, Wanchai, Hong Kong, China
Tel: (852) 2582 8888
E-mail: info@hkcec.com
Website: http://www.hkcec.com.hk

WELCOME MESSAGE BY CONFERENCE CHAIRS
After the continuous success of previous IEEM conferences, the organizing committee of
IEEM2012 is pleased to welcome you to the 2012 IEEE International Conference on Industrial
Engineering and Engineering Management in Hong Kong.
IEEM2012 received almost 1000 submissions and each paper was sent to 3-5 reviewers,
and acceptance decisions were made based on at least two consistent recommendations.
Our rigorous review process has helped to maintain a high standard as for the past IEEM
conferences.
The organising committee would like to take this opportunity to thank all the technicalprogramme committee and the reviewers for their contribution towards the review process.
We are also grateful to all authors for their interest and participation.
Hong Kong is a vibrant and wonderfully diverse country. We wish all delegates a fruitfulconference and a pleasant stay in Hong Kong.

General Chair
Daniel Berg, University of Miami, USA
Organizing Chairs
Min Xie, City University of Hong Kong, Hong Kong
Roger Jiao, Georgia Institute of Technology, USA
Program Chairs
Sam Kwong, City University of Hong Kong, Hong Kong
Szu Hui Ng, National University of Singapore, Singapore

WELCOME MESSAGE BY CONFERENCE CHAIRS

Daniel Berg
General Chair
University of Miami
USAMin Xie
Organizing Chair
City University of Hong Kong
Hong Kong

Roger Jiao
Organizing Chair
Georgia Institute of Technology
USA

Sam Kwong
Program Chair
City University of Hong Kong
Hong Kong

Szu Hui Ng
Program Chair
National University of Singapore
Singapore

1

ORGANIZERS & COMMITTEES
General Chair
Daniel Berg
University of Miami,
USA
Organizing Chairs
Min Xie
City University of Hong Kong,
Hong Kong
Roger Jiao
Georgia Institute of Technology,
USA
Program Chairs
Sam Kwong
City University of Hong Kong,
Hong Kong
Szu Hui Ng
National University of Singapore,
Singapore
Committee members
Kah Hin Chai (Publication)
National University of Singapore,
Singapore
Carman Lee (Publicity)
Hong Kong Polytechnic University,
Hong Kong
Hanxiong Li (International Liaison)
City University of Hong Kong,
Hong Kong
Anil Verma (Financial)
Singapore Polytechnic,
SingaporeSonglin Chen
Nanyang Technological University,
Singapore
Edwin Cheung
Hong Kong Institute of Vocational
Education, Hong Kong
Jason Choi
Hong Kong Polytechnic University,
Hong Kong
Richard Fung
City University of Hong Kong,
Hong Kong
Walter Fung
City University of Hong Kong,
Hong Kong
Tritos LaosirihongthongThammasat University,
ThailandZhaotong Lian
University of Macau,
Macau
James Liu
Hong Kong Polytechnic University,
Hong Kong
Hongyi Sun
City University of Hong Kong,
Hong Kong

2

Technical Program Committee
Michel Aldanondo
University of Toulouse Mines Albi,
FranceLuciana Alencar
Federal University of Pernambuco,
BrazilTeresa Alvarez
University of Valladolid,
Spain
Mehdi Amiri-Aref
Mazandaran University of Science andTechnology, Iran
Pedro Arezes
University of Minho,
Portugal
Pradip Kumar Bala
Indian Institutes of Technology,
India
Ana Paula Barroso
UNIDEMI, FCT-UNL,
Portugal
Rajendra Belokar
PEC University of Technology,
India
Arijit Bhattacharya
Dublin City University,
Ireland
Paul Chang
National Changhua University of
Education, Taiwan
Cheng-Wu Chen
National Kaohsiung Marine University,
TaiwanMu-Chen Chen
National Chiao Tung University,
TaiwanShin-Guang Chen
Tungnan University,
TaiwanChuang-Chun Chiou
Dayeh University,
TaiwanJui-Sheng Chou
National Taiwan University of Scienceand Technology, Taiwan
Stefan Creemers
IESEG School of Management,
FranceYves De Smet
Université libre de Bruxelles,
Belgium
Maman Djauhari
University of Technology Malaysia,
Malaysia
Valerio Elia
University of Salento,
Italy
Chao Fang
City University of Hong Kong,
Hong Kong

Laurent Geneste
University of Toulouse ENIT-LGP,
FranceMaria Grazia Gnoni
University of Salento,
Italy
Antonio Grilo
Universidade Nova de Lisboa,
Portugal
Guillermo Gutierrez-Alcaraz
Instituto Tecnológico de Morelia,
MexicoMd. Mamun Habib
American International UniversityBangladesh, Bangladesh
Rika Ampuh Hadiguna
Andalas University,
Indonesia
Siana Halim
Petra Christian University,
Indonesia
Takashi Hasuike
Osaka University,
Japan
Jishnu Hazra
Indian Institute of Management
Bangalore, India
Qingpei Hu
Chinese Academy of Science,
China
Chi-Cheng Huang
Aletheia University,
TaiwanChin-Yu Huang
National Tsing Hua University,
TaiwanShinji Inoue
Tottori University,Japan
Raja Jayaraman
Khalifa University of Science,
Technology & Research, UAE
Minghai Jiao
Northeastern University,
China
Yuya Kajikawa
University of Tokyo,
Japan
Chompoonoot Kasemset
Chiang Mai University,
ThailandSong-Kyoo Kim
Asian Institute of Management,
Philippines
Niak Wu Koh
Dell, Singapore
Chien-Liang Kuo
Chinese Culture University,
TaiwanR. J. Kuo
National Taiwan University of Scienceand Technology, Taiwan

ORGANIZERS & COMMITTEES
C.K. Kwong
Hong Kong Polytechnic University,
Hong Kong
M. Amri Lajis
Universiti Tun Hussein Onn
Malaysia,
Ka Wing Lau
Hong Kong Polytechnic University,
Hong Kong
Jun-Der Leu
National Central University, Taiwan
Chen-Ju Lin
Yuan Ze University,
TaiwanChu-Ti Lin
National Chiayi University,
TaiwanJia-Hua Lin
Liberty Mutual Research Institute for
Safety, USA
Tyrone T. Lin
National Dong Hwa University,
TaiwanWeidong Lin
Temasek Polytechnic,
Singapore
Bor-Shong Liu
St. John's University,
TaiwanMei-Chen Lo
National United University,
TaiwanHuitian Lu
South Dakota State University,
USA
Rammohan Maikala
Liberty Mutual Research Institute for
Safety, USA
Renata Maciel de MeloFederal University of Pernambuco(UFPE), Brazil
Harekrishna Misra
Institute of Rural Management
Anand, India
Lars Moench
University of Hagen,Germany
Keisuke Murakami
National Institute of Informatics,
Japan
Ville Ojanen
Lappeenranta University ofTechnology, Finland
Mohamed k. Omar
Nottingham University Business
School, Malaysia
Taezoon Park
Nanyang Technological University,
Singapore
Jennifer Percival
University of Ontario Institute ofTechnology, Canada

Leon Pretorius
University of Pretoria,
South Africa
Suksan Prombanpong
King Mongkut's University ofTechnology Thonburi, Thailand
Kit Fai Pun
University of the West Indies,
Trinidad and Tobago
T Radha Ramanan
National Institute of Technology
Calicut, India
Suk-Chul Rim
Ajou University,
South Korea
Mohapatra S S
National Institute of Technology,
India
Rashed Sahraeian
Shahed University,
Iran
Tomoko Saiki
Tokyo Institute of Technology,
Japan
Ichiro Sakata
University of Tokyo,
Japan
Ilias Santouridis
Technological Educational Institute ofLarissa, Greece
Kiyoshi Sawada
University of Marketing andDistribution Sciences, Japan
Mahmood Shafiee
Chalmers University of Technology,
SwedenAHM Shamsuzzoha
University of Vaasa,
FinlandAli Siadat
Arts et Métiers ParisTech,FranceNachiappan Subramanian
University of Nottingham Ningbo,
China
Syafiie Syafiie
University Putra Malaysia,
Malaysia
Vivian Tam
University of Western Sydney,
Australia
Pei-Lee TehMonash University,
Malaysia
Purit Thanakijkasem
King Mongkut's University ofTechnology Thonburi, Thailand
Ramayah Thurasamy
Universiti Sains Malaysia,
Malaysia
Norbert Trautmann
University of Bern,
Switzerland

Wen-Hsien TsaiNational Central University,
TaiwanMing-Lang Tseng
Lung Hwa University of Science andTechnology, Taiwan
Yuan-Jye Tseng
Yuan Ze University,
TaiwanEnrico Vezzetti
Politecnico di Torino ,Italy
Junqiang Wang
Northwestern Polytechnical
University, China
Min Wang
Chaoyang University of Technology,
TaiwanShengyong Wang
University of Akron,
USA
Yonggui Wang
University of International Businessand Economics, China
Seng Fat Wong
University of Macau,
Macau
Yanqiu Xiao
Zhengzhou University of Light
Industry, China
Bingwen Yan
Cape Peninsula University ofTechnology, South Africa
Hsu-Hao Yang
National Chinyi University ofTechnology, Taiwan
QZ Yang
Circular Economy Research Centre,
China
Min Yao
Zhejiang University,
China
Chui Young Yoon
Korea National University ofTransportation, South Korea
Suhaiza Zailani
Universiti Sains Malaysia,
Malaysia
Allan Nengsheng Zhang
Singapore Institute of Manufacturing
Technology, Singapore
Cai Wen Zhang
Sun Yat-sen University,
China
Linda Zhang
IESEG School of Management,
France3

KEYNOTE PRESENTATION

Tuesday – 11 Dec, 09:10 – 09:50
Room S221, Level 2
Way Kuo
President and University Distinguished Professor
City University of Hong Kong, Hong Kong
Modernization of Industrial Engineering
Abstract
Industrial engineering is a mature subject. In order to keep up with the development of industrial engineering,
we will have to modernize the industrial engineering discipline. Three key issues will be addressed:internationalization, updating the subjects, and forward looking.
Biography
Professor Way Kuo is President of City University of Hong Kong. A renowned expert in reliability design andmodeling, he is also well-known for promoting university education on the basis of problem-driven research.
Professor Kuo is a member of US National Academy of Engineering, a member of Academia Sinica, Taiwan,
and a foreign member of Chinese Academy of Engineering. Previously, he served on the senior management
team of Oak Ridge National Laboratory and as the Dean of Engineering at the University of Tennessee,
Knoxville, and he was the holder of the Wisenbaker Chair in Innovation at Texas A&M University. Professor
Kuo has co-authored seven books on reliability and is the Editor-in-Chief of IEEE Transactions on Reliability.

"MEET-THE-EDITORS" PANEL
Tuesday - 11 Dec, 09:50 - 10:30, Room S221, Level 2
Please see Announcement Board for details.

4

KEYNOTE PRESENTATION

Wednesday – 12 Dec, 09:00 – 09:40
Room S221, Level 2
Raymond Leung
Chairman & CEO
TDK China Co., Ltd, Hong Kong
Triumphs of Innovation and Technologies in Hong Kong
Abstract
Known to many as a leading international financial centre of the world, Hong Kong on the other hand has
long been criticized for the lack of innovation and technologies to sustain its industrial growth in the future.
Having founded or co-founded two highly successful hi-tech companies in HK, respectively the largest of theworld for magnetic recording heads for hard disk drives and then lithium polymer batteries for consumer
electronics, the author will present how innovation and technologies have prevailed, from product creations
in laboratories in HK to mass production in state-of-the-art manufacturing facilities in the Pearl River Delta(PRD). An industrial engineer by training, the author will also explain the indispensable roles of industrial
engineering and engineering management in the success of hi-tech manufacturing in his factories in China.
This was extremely challenging in the 80’s and 90’s when formal industrial engineering training was essentiallyunavailable in China. Tsing Hua University, to say the least, had its Department of Industrial Engineering
established only in 2001.
Biography
Dr. Raymond Leung has since 2005 been the Chairman and CEO of TDK China, overseeing all businesses of
TDK Corporation in Greater China region including SAE Magnetics, the company he co-founded over 30 years
ago and currently is the world’s largest magnetic head manufacturer with an annual turnover of over US$ 2
billion, out of the total US$4 billion plus of the entire business portfolio under his responsibility. Dr. Leung also
serves the Executive Vice President of TDK Corp, the first non-Japanese appointed for the position since theestablishment of the Japanese electronics giant in 1935. Dr. Leung is widely regarded a high-tech entrepreneurwith a mission of nurturing and growing the high-tech industry. In particular, he has been responsible formany technology start-ups in the region. In 1999, he founded Amperex Technology Limited (ATL) and grew
it to become the world’s largest suppliers of lithium polymer battery for consumer electronics. ATL became amember company of TDK in 2005, now making inroads to batteries for electric vehicles.
Dr. Leung graduated with an Engineering Doctorate (EngD) degree from City University of Hong Kong. He
is very supportive of higher education, in addition to serving an adjunct professor at the Chinese Universityof Hong Kong, he chairs advisory committees and is court member of several universities in Hong Kong.
He serves directorship and advisory roles for government bodies of HKSAR, and is economic advisor of anumber of China cities and North Dakota in the USA. He co-founded OLPC Asia Pacific, the Asian chapterof the philanthropic ‘One Laptop Per Child’ originated from MIT. Dr. Leung’s contributions to the industry,
community and education have earned him many awards including Honorary Fellow and Distinguished
Alumni of City University of Hong Kong, Honorary Fellow of Hong Kong University of Science and Technology,
Outstanding Alumni Award of Hong Kong Polytechnic University, and Honorary Citizen of Dongguan City,
PRC. He is currently a member of the 12th Dongguan Committee of Chinese People's Political Consultative
Conference.

5

KEYNOTE PRESENTATION

Wednesday – 12 Dec, 09:40 – 10:30
Room S221, Level 2
Daniel Yeung
Senior Past President of the IEEE SMC Society;
Distinguished Professor
South China University of Technology, China
A Robust Machine Learning Technique for Certain Cyber Security Problems
Abstract
Cyber security is not just a governmental concern. It invades our societies, enterprises, schools, homes andprivate lives. Traditional machine learning techniques which are signature-based and pattern specific matching
can no longer effectively defend against cyber attacks. Facing challenges of large scale network complexity,
network dynamics and unbalanced normal versus anomaly data, new machine learning techniques are called
for to address these problems. In this talk a mechanism to enhance the prediction capability of a supervisedclassification system against cyber attacks is presented. The case of the steganography/steganalysis will bepresented and the general intrusion detection problem will be discussed.
Biography
Daniel Yeung is the Senior Past President of the IEEE Systems, Man and Cybernetics (SMC) Society, a Fellowof the IEEE and an IEEE Distinguished Lecturer. He received the Ph.D. degree in applied mathematics from
Case Western Reserve University. In the past, he has worked as a tenured assistant professor at the Schoolof Computer Science and Technology and an assistant professor at the Department of Mathematics, bothat Rochester Institute of Technology, Rochester, New York, as the head of Management Information Unitat the Hong Kong Polytechnic University, and as the associate head/principal lecturer at the Departmentof Computer Science, City Polytechnic of Hong Kong. He was the chairman and a chair professor of the
Department of Computing, The Hong Kong Polytechnic University. Currently he is a chair professor in the
School of Computer Science and Engineering, South China University of Technology, Guangzhou, China.
He also held industrial and business positions as a Technical Specialist/Application Software Group Leader
at the Computer Consoles, Inc., Rochester, New York, an Information Resource Sub-manager/Staff Engineer
at the Military and Avionics Division, TRW Inc., San Diego, California, and an Information Scientist of
the Information System Operation Lab, General Electric Corporate Research and Development Centre,
Schenectady, New York.
His current research interests include neural-network sensitivity analysis, data mining, fuzzy sets and systems,
and machine learning applications.

6

SPEAKER GUIDES
Oral Presentation
1. Determine your Audio-Visual Needs
Each meeting room comes equipped with a computer, LCD projector and screen. The computers in themeeting rooms and speaker ready room are being provided to Windows-based PC users. The PC will be
configured with Windows operating system. Please bring your presentation files in Thumb Drives only.
2. Prepare Your Presentation
Length of presentation material should be in accordance with your time allotted, each oral presentation islimited to 15 minutes (including Q&A). You are kindly requested to be at the presentation room at least 15
minutes before the session starts.
3. Create a Backup Copy of your Presentation
We recommend that you bring at least 2 copies of your presentation to the meeting for backup purposes.
Only Thumb Drives are acceptable.
4. Give Your Presentation
Be considerate to the other speakers and audience by staying within your allocated time. The allocated timefor your presentation includes a discussion and a changeover to the next speaker. Session Chairs will holdyou to the allocated time. This is essential to ensure adequate time for questions and discussions as wellas adherence to the schedule. Please discuss the same material as reported in your abstract submission. At
the end of the meeting, all presentation files will be destroyed.
Poster Presentation
Poster sessions will be located at outside the level 2 meeting rooms and your assigned poster board will bemarked with your Paper ID. Please feel free to approach the help desk for assistance.
Tue - 11 December 2012

Wed - 12 December 2012
Poster Viewing from10:30 - 11:00 and 15:00 - 15:30

Poster set-up from 8:30 to 10:30

Poster tear down latest by 18:00

1. Prepare Your Poster
Each presenter is provided with a 2 metre high by 1 metre wide poster board. The presentation must cover thesame material as the paper submitted.
• Place your Paper ID, Paper Title, and Authors’ names prominently at the top of the poster to allow viewers
to identify your abstract easily.
• Highlight the Authors’ names, e-mail and address information in case the viewer is interested in contracting
your for more information.
• You have complete freedom in displaying your information in figures, tables, text, photographs, etc in theposter.
• Include the background of your research followed by results and conclusions. A successful poster
presentation depends on how well you convey information to an interested audience.
2. Set Up Your Poster• Your poster presentation time is as shown in the session schedule and the poster must be set up at least 10
to 30 minutes before your presentation.
• Interactive forum is scheduled and presenters are required to be at their posters during poster viewing
times.
• Adhesive tapes and scissors are available at the Poster Help Desk, nearby the poster boards. If you havespecial needs for your poster presentation, please bring those supplies with you to the meeting.
3. Remove Your Poster• Posters must be removed immediately after the end of the presentation schedule session. IEEM2012 will
not be responsible for posters and materials left on poster boards after the end of the session.

7

PROGRAM OVERVIEW
Time

Monday - 10 December, 2012

15:00 – 18:00

Delegate Arrival and Registration, Level 2 Foyer

17:30 – 21:30

Pre-Conference Tour – Taste of Hong Kong by Night(Tour departs at 17:30 sharp. Please meet at the Harbour Road Entrance, Ground Floor at 17:15
and present ticket to board bus. Refer to Pg.10 for pick-up point.)

16:00 – 18:00

Time
08:00 – 08:50
09:00 – 09:50

Welcome Reception, S221 Level 2

Tuesday - 11 December, 2012

Registration, Level 2 Foyer (Re-opens at 10:30 and closes 16:30)

Opening & Keynote Presentation, S221 Level 2
Keynote Presentation: “Modernization of Industrial Engineering”
Way Kuo, President and University Distinguished Professor, City University of Hong Kong, Hong Kong
Pg.4

09:50 – 10:30"Meet-the-Editors" Panel, S221 Level 2
Pg.4

10:30 – 11:00

Coffee / Tea Break, Level 2 Foyer
Room S221
Room S222
Decision Analysis
Operations& Methods (1)Research (1)
Pg.13
Pg.14

11:00 - 12:30(9 parallelsessions)

12:30 - 13:30

Room S224

Quality Control& Management (1)
Pg.16

Room S227
Room S228
Technology andReliability andKnowledge
MaintenanceManagement (1)Engineering (1)
Pg.20
Pg. 19Lunch, S421, S423, S424 & S426 to S428 Level 4
Room S221
Room S222
Decision Analysis
Operations& Methods (2)Research (2)
Pg.13
Pg.14
Room S224

13:30 - 15:00(9 parallelsessions)

Quality Control& Management (2)
Pg.16
Room S227

Technology andKnowledge
Management (2)Pg.19
15:00 - 15:30

15:30 - 17:30(9 parallelsessions)

18:00 - 22:00

8

Room S225

Production Planning& Control (1)Pg.17

Room S225

Production Planning& Control (2)
Pg.17
Room S228

Reliability and
MaintenanceEngineering (2)Pg.20

Coffee / Tea Break, Foyer, Level 2
Room S221
Room S222
Decision Analysis
Operations& Methods (3)Research (3)
Pg.13
Pg.14
Room S224
Room S225

Engineering Economy
and Cost Analysis
Pg.16

Poduction Planning& Control (3)Pg.17

Room S227
Technology andKnowledge
Management (3)Pg.19

Room S228
Project
Management (1)
Pg.20

Room S223
Supply Chain
Management (1)
Pg.15

Level 2 Foyer

Room S226

Manufacturing
Systems (1)
Pg.18

Poster Session 1

Room S229
Intelligent Systems (1)
Pg.21

Room S223
Supply Chain
Management (2)
Pg.15

Level 2 Foyer

Room S226

Manufacturing
Systems (2)Pg.18

Poster Session 1

Room S229

Intelligent Systems (2)
Pg.21

Room S223
Supply Chain
Management (3)Pg.15
Room S226
Manufacturing
Systems (3)
Pg.18

Level 2 Foyer

Poster Session 1

Room S229
Safety, Security and
Risk Management (1)
Pg.21

Conference Banquet at Jumbo Floating Restaurant(Please meet at Harbour Road Entrance, Ground Floor at 17:45 and present your ticket to board bus.
Refer to Pg.10 for pick-up point.)PROGRAM OVERVIEW
Time
Time
08:00 - 08:50

09:00 – 09:40

Wednesday - 12 December, 2012
Registration, Level 2 Level 2 Foyer (Re-opens at 10:30 and closes 16:30)
Keynote Presentation, S221 Level 2“Triumphs of Innovation and Technologies in Hong Kong”
Raymond Leung, Chairman & CEO, TDK China Co. Ltd, Hong Kong
Pg.5

09:40 – 10:30

Keynote Presentation, S221 Level 2“A Robust Machine Learning Technique for Certain Cyber Security Problems"Daniel Yeung, Senior Past President of the IEEE SMC Society;
Distinguished Professor, South China University of Technology, China
Pg.6

10:30 – 11:00

Coffee / Tea Break, Level 2 Foyer
Room S221
Decision Analysis& Methods (4)Pg.24

Room S222
Operations
Research (4)Pg.25

Room S223
Supply Chain
Management (4)Pg.26

Quality Control& Management (3)Pg.27

Prodcution Planning& Control (4)Pg.28

Service Innovationand Management (1)
Pg.29

Room S227
Technology andKnowledge
Management (4)Pg.30

Room S228
Reliability and
MaintenanceEngineering (3)Pg.31

Room S229
GlobalManufacturingand Management (1)
Pg.32

Room S224

11:00 – 12:30(9 parallelsessions)

12:30 – 13:30

Lunch, S421, S423, S424 & S426 to S428 Level 4
Room S221
Human Factors (1)Pg.24

15:00 - 15:30

15:30 - 17:30(9 parallelsessions)

Room S223
Supply Chain
Management (5)Pg.26

Information Processing
and Engineering (1)
Pg.27

Systems Modelingand Simulation (1)Pg.28

Service Innovationand Management (2)Pg.29

Room S227
Technology andKnowledge
Management (5)Pg.30

Room S228
E-Businessand E-Commerce
Pg.31

Room S229
GlobalManufacturingand Management (2)Pg.32

09:45 – 11:30

Room S225

Coffee / Tea Break, Foyer, Level 2
Room S221
Room S222
Human Factors (2)Engineering Education
Pg.24
and Training
Pg.25
Room S224
Room S225

Room S223
Supply Chain
Management (6)Pg.26

Level 2 Foyer

Poster Session 2

Level 2 Foyer

Room S226

Systems Modelingand Simulation (2)Pg.28

Service Innovationand Management (3)Pg.29

Room S227

Room S228

Room S229

Project Management (2)Pg.31

Poster Session 2

Room S226

Information Processing
and Engineering (2)
Pg.27

Facilities Planningand Management
Pg.30
Time
Time
09:00 - 16:30

Room S226

Room S222
Operations
Research (5)Pg.25

Room S224

13:30 - 15:00(9 parallelsessions)

Room S225

Level 2 Foyer

Poster Session 2

Safety, Security
and RiskManagement (2)Pg.32

Thursday - 13 December, 2012
Post-Conference Tour – Full-Day Hong Kong City Tour
(Tour departs at 09:00 sharp. Please meet at the Harbour Road Entrance, Ground Floor at 08:45 and present
ticket to board bus Refer to Pg.10 for pick-up point.)
Post-Conference Tour – HK Ports Terminal Tour.
(Tour departs at 09:45 sharp. Please meet at the Harbour Road Entrance, Ground Floor at 09:30 and present
ticket to board bus. Refer to Pg.10 for pick-up point.)

9

CONFERENCE TOURS PICK-UP POINT
HARBOUR ROAD ENTRANCE, GROUND FLOOR

Pick-up Point

10

SESSIONSCHEDULES

11

FLOOR PLAN
Meeting Rooms
S221-S229, Level 2

Luncheon Rooms
S421, S423, S424 & S426-S428, Level 4

12

Decision Analysis & Methods (1)Decision Analysis & Methods (2)Decision Analysis & Methods (3)Tue, 11 Dec 11:00 - 12:30
Room: S221

Tue, 11 Dec 13:30 - 15:00
Room: S221

Tue, 11 Dec 15:30 - 17:30
Room: S221

Chairs:Chairs:Chairs:Kuo-Ping Lin
Wasawat Nakkiew

Abstracts: see page 35

Performance Management in
the Elementary and Secondary
Schools’ Information Unit in
Taiwan: Using the Balanced
Scorecard and the Fuzzy
Analytic Hierarchy Process
Yi-Hui Liang1
1
I-SHOU University, Taiwan

An Analysis Framework for
Urban Construction
Decision-making Based on
Symbiosis

Chunying Huang1, Xiaoming Wang2
1
Huazhong University of Science andTechnology, China Three Gorges University,
China2
Huazhong University of Science andTechnology, China

Establishing A New
Preliminary Evaluation Criteria
System Model for Green
Restaurants

Ching-Yu Lien1, Bor Min Tsai1, Hsin-Yen
Wu1
1
Minghsin University of Science andTechnology, Taiwan

A Multi-Criteria Decision
Support Model for TV Series
Selection

Cigdem Kadaifci1, Ilker Topcu1, Umut
Asan1
1
Istanbul Technical University, Turkey

A Matching Procedure for
Goal-oriented Productivity
Improvements

Thomas Czumanski1, Jonina Jonsson2,
Hermann Lodding1
1
Hamburg University of Technology,
Germany
2
Beiersdorf AG, Germany

Ranking of Problematic
Equipment using Six Big Losses
and Analytic Hierarchy Process
Ratapol Wudhikarn1
1
Chiang Mai University, Thailand

A Real Options Analysis with
CVA on Optimal Decision ofRegulatory Capital for the Basel
Capital Accord III
Tyrone T. Lin1, H. J. Chen1
1
National Dong Hwa University, Taiwan

Imad Alsyouf
Yi-Hui Liang

Abstracts: see page 36

C.K. Kwong
Min Wang

Abstracts: see page 37

A Methodology for ProductLine Design with
Consideration of Supplier
Selection

Business Feasibility
Methodology for Introducing
New Developed Local Food
Product

S.F. Deng1, C.K. Kwong1, Xinggang
Luo2, H.M. Jiang1
1
The Hong Kong Polytechnic University,
China
2
Northeastern University, China

Wasawat Nakkiew1, Jaruwan
Wannagoat1, Wassanai
Wattanutchariya1, Anirut
Chaijaruwanich11Chiang Mai University, Thailand

Does Delighting Customers to
Inspire Loyalty Moderated by
Lodging Motivation?- A Case
Study on Five-Star Hotels in
Mid-Taiwan

An Investigation of Robust
Optimal Design Using
Artificial Neural Network andGenetic Algorithm

Yung-Hsin Chen1, Xia Wang2,
Shuo-Chang Tsai3, Ingrid Teng3
1
National Cheng Kung University, Taiwan
2
Renmin University of China, China
3
Asia University, Taiwan

Objective Product Family
Design Analysis Using
Self-Organization Map

Ningrong Lei1, Seung Ki Moon1
1
Nanyang Technological University,
Singapore

Evaluations on and Suggestions
for the Sustainable
Development of Shaanxi
Shuyan Gong1, Weili Xia1
1
Northwestern Polytechnical University,
China

The Combination of Lean
Thinking and Systems
Thinking in the Design ofManufacturing Systems

Pascal Hofmann1, Daryl Powell1
1
Norwegian University of Science andTechnology, Norway

Portfolio Decision Analysis inVague Domains
Tobias Fasth1, Aron Larsson2
1
Stockholm University, Sweden
2
Mid Sweden University, Stockholm
University, Sweden

A Decision-making Model on
Concession Period of Public
Rental Housing BOT Project
Jingjing Zhu , Guangmou Wu
1Southeast University, China
1

1

Kiatkajohn Worapradya1, Purit
Thanakijkasem1
1
King Mongkut's University of Technology
Thonburi, Thailand

Design and Implementation ofa Lean Six Sigma Frameworkfor Process Improvement: aCase Study
Tarak Shahada1, Imad Alsyouf1
1
University of Sharjah, United ArabEmirates

In-Service Inspection of Static
Mechanical Equipment on
Offshore Oil and Gas
Production Plants: A Decision
Support Framework
A.M.N.D.B. Seneviratne1, R.M.
Chandima Ratnayake1
1
University of Stavanger, Norway

Customer-Driven Conceptual
Design for Mid-sized Passenger
Aircraft
S.Y. Han1, Hae-Jin Choi11
Chung-Ang University, South Korea

Hybrid Fuzzy AHP-GA
Approach to Supplier Selection
and Order Allocation in SMEs
Manufacturing Networks
Nan Li1, Guiovanni Jules1, Mozafar
Saadat1
1
University of Birmingham, United
Kingdom

Evaluation Model For the
Sustainable Use of Information
Technology
Patricia Martins1, Antonio Grilo1
1
Faculdade de Ciências e Tecnologia da
Universidade Nova de Lisboa, Portugal

1313

Operations Research (1)Operations Research (2)Operations Research (3)Tue, 11 Dec 11:00 - 12:30
Room: S222

Tue, 11 Dec 13:30 - 15:00
Room: S222

Tue, 11 Dec 15:30 - 17:30
Room: S222

Chairs:Chairs:Chairs:Kui Zhang
Shieu-Hong Lin

Abstracts: see page 38

A Study on Adaptive Particle
Swarm Optimization (APSO)
for Solving Bi-level Job-shop
Scheduling Problem
Chompoonoot Kasemset1
1
Chiang Mai University, Thailand

Optimization of the Annual
Planning of Targeted Offers in
Direct Marketing

Fabrice Talla Nobibon
Mingzhou Jin

Abstracts: see page 39

Abstracts: see page 40

Improving Business Process
Performance Without
Increasing Cost
Shin-Guang Chen1
1
Tungnan University, Taiwan

Clustering and Hub Selection
for a Large Scale Delivery
ProblemFabrice Talla Nobibon1, Stephanie
Delanote1, Roel Leus1
1
KU Leuven, Belgium

Suyan Teng1, Edmund Chan1, Gabriel
Siow2
1
Republic Polytechnic, Singapore
2
ST Logistics Pte. Ltd., Singapore

An Algorithm for the Sugar
Cane Loading Station Location
Problem

A Local-Search Based
Algorithm for the Escherization
Problem

Wirekha Khamjan1, Supachai
Pathumnakul1, Kullapapruk
Piewthongngam1
1
Khon Kaen University, Thailand

A Variable Neighborhood
Search Approach for Multiple
Resources Constrained Parallel
Machine Scheduling Problem

Zhengliang Hou1, Xiuping Guo1, Xiuli
Guo2
1
Southwest Jiaotong University, China
2
Xihua University, China

A Mixed Integer Programming
Formulation for Single Batch
Processing Machine with
Incompatible Job Families

Mohamed K. Omar1, Yasothei Suppiah2
1
Nottingham University Business School,
Malaysia
2
Multimedia University, Malaysia

Generating and Ordering ofTransport Alternatives inInter-Modal Logistics in the
Presence of Cost, Time, andEmission Conflicts

Maria Kalinina1, Aron Larsson2, Leif
Olsson31
Stockholm University, Sweden
2
Mid Sweden University, Stockholm
University, Sweden
3
Mid Sweden University, Sweden

An Optimization Model for
Removal of Zinc from
Industrial Wastewater
Farah Assadian1, Pari Beirami1
1Islamic Azad University, Iran

Jianfeng Mao
Lars Magnus Hvattum

Shinji Imahori1, Shohei Sakai1
1
Nagoya University, Japan

Minimizing Total Tardiness in
NFSSP with SDSTs and RDs by
Using Hybrid Differential
Evolution Algorithm

Bin Qian1, Zuocheng Li1, Rong Hu1,
Xiaohong Zhu1
1
Kunming University of Science andTechnology, China

Sequential Testing Policies forComplex Systems Under
Precedence Constraints

Solving Euclidean Minimal
Spanning Tree Problem Using a
New Meta-heuristic Approach:
Imperialist Competitive
Algorithm (ICA)

S.Mohsen Hosseini1, Abdullah Khaled1,
Mingzhou Jin2
1
Mississippi State University, United States
2
The University of Tennessee, United States

A New Construction Heuristic
Algorithm for the Rectilinear
Block Packing Problem: A
Bridge between the Best-Fit andBottom-Left Algorithms

Yannan Hu1, Hideki Hashimoto1, Shinji
Imahori1, Mutsunori Yagiura1
1
Nagoya University, Japan

Vehicle Refueling Planning for
Point-to-Point Delivery byMotor Carriers
Shieu-Hong Lin1
1
Biola University, United States

Reformulation of Lawler's
Algorithm by
Auxiliary-information Dynamic
Programming in a
Minimax-cost Scheduling
ProblemRoel Leus1, Wenchao Wei1, Kris Coolen1
1
KU Leuven, Belgium

Eiji Mizutani1
1
National Taiwan University of Science andTechnology, Taiwan

Incorporating Local Search in
Heuristics for Dynamic andStochastic Maritime Pick-up
and Delivery Problems

An Optimization Approach of
Product Design with Consumer
Preference Uncertainty

Gregorio Tirado1, Lars Magnus
Hvattum2
1
Universidad Complutense de Madrid,
Spain
2
Norwegian University of Science andTechnology, Norway

A Markov Decision-Making
Model for Emergency Medical
Resource Allocation with
Multi-Category Injuries

Hongyun Xia , Yiping Jiang , Lindu
Zhao1, Micheal Herty21Southeast University, China
2
RWTH Aachen University, Germany
1

1

Jing Du1, Xiaoming Hu1, Qiang Lu1,
Suxiu Xu2
1
Harbin Institute of Technology Shenzhen
Graduate School, China
2
The University of Hong Kong, China

A Hybrid Algorithm for the
Pickup and Delivery Problem
with Time Windows: A Case
Study at a Fresh Milk Plant
Mengjuan Xu1, Lindu Zhao1
1Southeast University, China

Enhanced Group Genetic
Algorithm for theHeterogeneous Fixed Fleet
Vehicle Routing Problem

Michael Mutingi1, Charles Mbohwa2
1
University of Botswana, Botswana
2
University of Johannesburg, South Africa

Inventory Systems with Power
Demand, Deterioration andBacklogged Shortages

Joaquin Sicilia-Rodriguez1, ManuelGonzalez-De la Rosa1, Jaime
Febles-Acosta1
1
University of La Laguna, Spain

1414

Supply Chain Management (1)Supply Chain Management (2)Supply Chain Management (3)Tue, 11 Dec 11:00 - 12:30
Room: S223

Tue, 11 Dec 13:30 - 15:00
Room: S223

Tue, 11 Dec 15:30 - 17:30
Room: S223

Chairs:Chairs:Chairs:Hongyi Sun
Horst Tempelmeier

Abstracts: see page 41

Identify Critical Success Factor
of Knowledge Management in
Supply Chain : Fuzzy
DEMATEL Approach
Sachin Patil1, R. Kant1
1
Sardar Vallabhbhai National Institute ofTechnology, India

A Predictive Model For Supply
Chain Management
Implementation Using AHP
Methodology
Shrikant Gorane1, R. Kant1
1
Sardar Vallabhbhai National Institute ofTechnology, India

Predicting the SuccessPossibility of Implementing
Information Sharing in Supply
Chain Using Consistent Fuzzy
Preference Relationship
R. Kant1, Akshay Pujara1
1
Sardar Vallabhbhai National Institute ofTechnology, India

Myopic Multi-Period
Mean-Variance Inventory Policy
for Fashion Products
Tsan-Ming Choi1
1
The Hong Kong Polytechnic University,
Hong Kong

Managing Health Care
Perishable Apparel Products
using Quick Response Program

Hau Ling Chan1, Tsan-Ming Choi1, Chi
Leung Hui1, Sau Fun Ng1
1
The Hong Kong Polytechnic University,
Hong Kong

Application of the Supply
Chain Concept for Educational
Services

Chiu Liang Gan1, Ek Peng Chew1, Loo
Hay Lee11National University of Singapore,
Singapore

A Reverse Logistics Decision
Model in Green Manufacturing
Supply Chains
Tyrone T. Lin1, Y.S. Lu1
1
National Dong Hwa University, Taiwan

Aron Larsson
Supachart Iamratanakul

Abstracts: see page 42

A Thinking Framework forManaging Complexity in the
Supply Chain
Seyda SerdarAsan1
1
Istanbul Technical University, Turkey

Capacitated Multi-Item
Dynamic Lotsizing with
Random Demand

Horst Tempelmeier1
1
University of Cologne, Germany

Developing a Genetic
Algorithm to Optimise an
International Supply Chain
under (s, S) policy

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

Micro-organizational Supply
Chain Management Influential
Factors: A Case StudyNayanapriya Gunawardhana1, Takao
Enkawa1, Sadami Suzuki1
1
Tokyo Institute of Technology, Japan

Quantifying Supply Chain
Disruption Risk Using VaR

Allan Nengsheng Zhang1, S.M.
Wagner2, Mark Goh3, M. Terhorst4, B.
Ma1
1Singapore Institute of Manufacturing
Technology, Singapore
2
Swiss Federal Institute of Technology,
Switzerland
3
TLI-AP,National University of Singapore,
Singapore
4
RWTH Aachen University, Germany

Incentive Contracts between
Fourth-party and Third-party
Logistics Providers based on
Performance Measurementwith Intellectual Capital

Qin Zhu1, Richard Y. K. Fung1
1
City University of Hong Kong, Hong Kong

Allan Nengsheng Zhang
Fikri Dweiri

Abstracts: see page 43

Container Pre-marshalling
Problem: A Review and
Solution Framework

Mohamed Gheith1, Amr Eltawil1,
Nermine Harraz1
1
Egypt - Japan University of Science andTechnology, Egypt

Multi-Depot Vehicle Routing
Problem with Time Windows
Using Hybrid Metaheuristic
Algorithm

Seyed Farid Ghannadpour1, Amin
Jamili1
1
MAPNA Co., Iran

A Three Echelons Supply Chain
Network Design in a Fuzzy
Environment Considering
Inequality Constraints
Mahdi Bashiri1, Mahtab Sherafati 1
1
Shahed University, Iran

The Study of Tiered Pricing
Model in Three-echelon
Reverse Supply Chain
Fuwen Li1, Ruizhu Han1
1
Southeast University, China

Coordinating a Supply Chain
for a Newsvendor-Type Productwith Sales Effort Effects
Yao Yu Wang1, Jian-Cai Wang2
1
Soochow University, China
2
Beijing Institute of Technology, China

Strategic Design of theConstruction Supply Chain: A
Case of Building Projects in
IranMohammad Reza Safaian1, Hossein
Moradinasab1
1
Building Engineering Organization, IranMatching of Intermodal FreightTransports Using Optimization
in a Decision Support System
Leif Olsson1, Aron Larsson2
1
Mid Sweden University, Sweden
2
Mid Sweden University, Stockholm
University, Sweden

A Classification and Review of
Recent Models for Solving the
Vehicle Routing Problem and a
Proposed New Problem
Framework
Alyaa Abdel-Halim1, Amr Eltawil1
1
Egypt - Japan University of Science andTechnology, Egypt

1515

Quality Control & Management (1)Quality Control & Management (2)Engineering Economy and Cost
Analysis

Tue, 11 Dec 11:00 - 12:30
Room: S224

Tue, 11 Dec 13:30 - 15:00
Room: S224

Tue, 11 Dec 15:30 - 17:30
Room: S224

Chairs:Chairs:Chairs:Ralph Riedel
Sandeep Grover

Abstracts: see page 44

Critical Success Factors for Six
Sigma Deployment: Is a
Centralized Deployment
Structure Better Than aRe-integrated Deployment
Structure?

Alan Keeley1, Corro Van Waveren1,
Kai-Ying Chan1
1
University of Pretoria, South Africa

A Method for Product Quality
Management Throughout Its
Life Cycle
Dinh Son Nguyen11Danang University of Technology, The
University of Danang, Viet Nam

A Generalized Linear Test
Model to Monitor AR(1)Autocorrelated Polynomial
ProfilesM. Keramatpour1, S.T.A. Niaki2,
Amirhossein Amiri3
1
Islamic Azad University, Qazvin Branch,Iran
2
Sharif University of Technology, Iran
3
Shahed University, Iran

Identifying the Time of a Step
Change in the Mean of a
Two-Stage Process

Amirhossein Amiri1, S. Zolfaghari1, Ali
Asgari1
1
Shahed University, IranAn Empirical Study of Critical
Success Factors for Statistical
Process Control
Implementation: A
Second-Order Factor Analysis

Jafri Mohd Rohani1, Sha'ri Mohd Yusof1,
Ismail Mohamad1
1
Universiti Teknologi Malaysia, Malaysia

Product Driven Quality Control
Samuel Bassetto1, Adeline Motte11Polytechnique Montreal, Canada

Quality Management for
Leadership

Masayoshi Ushikubo1, Hisato Tashiro2,
Nobuzumi Fujii3, Ichiro Sakata2
1
Sanden Corporation,
2
The University of Tokyo, Japan
3
Waseda University, Japan

Huairui Guo
Charles Mbohwa

Abstracts: see page 45

Nonparametric Design of PhaseI X Control Charts with orwithout Sensitizing Run Rules
Giovanna Capizzi1, Guido Masarotto1
1
University of Padua, Italy

DMAIC Methodology for Fold
Defect Reduction in the Optical
Blank Industry
Mohamed K. Omar1, Hock Kheng Sim2,
Geok Ching Lim2
1
Nottingham University Business School,
Malaysia
2
Multimedia University, Malaysia

Evaluating Intensity of Human
Factors in TQM Using
Analytical Network Process(ANP) Approach
Sandeep Grover1
1
YMCA University of Science &Technology, India

Field Data Analysis in Truck
Production - a Case Study
Ralph Riedel1, Egon Mueller1
1
Chemnitz University of Technology,
Germany

Barriers in Total Productive
Maintenance Implementation
in a Semiconductor
Manufacturing Firm: A Case
Study

Kam-Choi Ng1, Gerald Guan Gan Goh2,
Uchenna Cyril Eze3
1
Infineon Technologies, Malaysia
2
Multimedia University, Malaysia
3
Monash University, Malaysia

On Detection of Spatiotemporal
Clustering
Chen-ju Lin1, Yen-ting Chen1
1
Yuan Ze University, Taiwan

The Role of Leadership
Competencies for
Implementing ISO 9000

Kem Ramdass1
1
University of Johannesburg, South Africa

Linda Zhang
Jinghua Wang

Abstracts: see page 46

Application of Robust Design
Technique in SME Project
Finance: A Case Study to
Calculate Optimum Set-Points

R.M. Chandima Ratnayake1, Harsha
Jayatilaka2
1
University of Stavanger, Norway
2
Kempe Engineering Services (Australia)
Pty Ltd, Australia

Strategic Fit in Value Added
Networks of Electric Vehicle
Production

Achim Kampker1, Peter Burggraf1,
Carsten Nee1
1
University of Aachen, Germany

Demand Response Mechanismand Simulation Research ofCold Storage Air Conditioner
Supporting Consumption of the
Onshore Wind Power
Yu Cheng1, Su An1
1
North China Electric Power University,
China

Managing the Economic
Performance of
Research-driven Initiatives in
the Field of Transdisciplinary
Research

Florian G. H. Behncke1, Martina
Wickel1, Udo Lindemann1
1Technische Universitat Munchen,
Germany

The Optimal Allocation of theInvestment Capital for R&D
Projects at the Commercial
Stage with the Kelly Criterion
Gyutai Kim1
1
Chosun University, South Korea

Research on Life Cycle
Management of Nuclear Power
Plant equipment based on
Economic Analysis

Kai-kai Gu1, Jiang Guo1, Ming-shu Fan1,
Ke-fei Zhang1, Lei Shi1
1
Wuhan University, China

Injection Mold Replacement
Analysis in Automotive
Industry
Tanasak Suwannabool1, Daricha
Sutivong1
1
Chulalongkorn University, Thailand

Service Provision, Subsidies
and Revenue Maximization in
Multitier Communities

Hailing Zhu1, Mbuyu Sumbwanyambe1,
Andre L Nel1
1
University of Johannesburg, South Africa

1616

Production Planning & Control (1)Production Planning & Control (2)Production Planning & Control (3)Tue, 11 Dec 11:00 - 12:30
Room: S225

Tue, 11 Dec 13:30 - 15:00
Room: S225

Tue, 11 Dec 15:30 - 17:30
Room: S225

Chairs:Chairs:Chairs:Akihiko Nagai
Junqiang Wang

Abstracts: see page 47

Abstracts: see page 48

Constructing Generic Processes
based on Tree Unification for
Process Family Planning
Linda Zhang1
1
IESEG School of Management, France

Batch Optimization Algorithm
for Autoclave Curing ofFiber-Reinforced Composites

Tobias Philipp1, Thorsten Klein1,
Gunther Reinhart1
1
Technische Universitaet Muenchen,
Germany

Approach for an RFID-based
Situational Shop Floor Control

Philipp Engelhardt1, Gunther Reinhart1
1
Technische Universität München,
Germany

21st Century Operational
Excellence: Addressing the
Similarities and Differences
between Lean Production,
Agility and QRM

Daryl Powell , Jan Ola Strandhagen
1
Norwegian University of Science andTechnology, Norway
1

Carman Ka Man Lee
Chang Liu

1

Operations Scheduling in
Make-and-Pack Production:
Schedule Construction andGA-based Priority-Rule
Generation Procedures

Philipp Baumann1, Norbert Trautmann1
1
University of Bern, Switzerland

Modeling the Master
Production Scheduling Systemwith Downgraded Products for
a TFT-LCD Module Factory

Chun-Cheng Lin1, Jia-Rong Kang1,
Wan-Yu Liu2, Shu-Hsing Chung1,
Kai-Shin Chou1
1
National Chiao Tung University, Taiwan
2
Aletheia University, Taiwan

New Entropy Weight-BasedTOPSIS for Evaluation ofMulti-objective Job-Shop
Scheduling Solutions

Junqiang Wang1, Jian Chen1, Ting Qu2,
George Huang2, Yingfeng Zhang1,
Shudong Sun1
1
Northwestern Polytechnical University,
China
2
The University of Hong Kong, Hong Kong

An Artificial Immune Based
Algorithm for Parallel-machine
Scheduling with Preference ofMachines

Ching-Jen Huang1, Li-Man Liao1
1
National Chin-Yi University of Technology,
TaiwanA Multi-Agent BasedRescheduling Framework for
Mixed-Model Assembly Line
Balancing

Li-Man Liao1, Ching-Jen Huang1
1
National Chin-Yi University of Technology,
TaiwanA Finite Economic Production
Quantity Model with TwoImperfect Modules

Dah-Chuan Gong1, Gary C. Lin2,
Kai-Xun Zhuang3, Pei-Han Lee3
1
Chung Yuan Christian University, Taiwan,
National University of Singapore,
Singapore2
Bradley University, United States
3
Chung Yuan Christian University, Taiwan

The Significance of Serendipity
in New Market Creation
Akihiko Nagai1, Takayuki Ito1
1
Nagoya Institute of Technology, Japan

Combined Economic andEmission Dispatch Using
Harmony Search and Genetic
Algorithm
Yun-Chia Liang1, Josue Cuevas1
1Yuan Ze University, Taiwan

Dah-Chuan Gong
Yun-Chia Liang

Abstracts: see page 49

Research on Dynamic
Dispatching Rule for
Semiconductor Assembly
Production Line

Chang Liu1, Hai-Zan Chen2, Yuan
Rong3, Jun Zhu2
1
Wuxi CAS Ubiquitous Information
Technology R&D center Co.Ltd,Shenyang
Institute of Automation, China
2
Chinese Academy of Sciences, China
3
Massachusetts Institute of Technology,
United States

A Data Envelopment Analysis
Approach to Resource
Efficiency Evaluation
Jenny Xu1, Siddharth Goutam1, Xun
Xu1, Shane Xie1
1
University of Auckland, New Zealand

Simulation Aided DisturbanceManagement in One-of-a-kind
Production on the Assembly
Site

Robert Wandt1, Axel Friedewald1,
Hermann Lödding1
1
Hamburg University of Technology,
Germany

Solving the Problem of
Product-Conversion in
Semiconductor Assembly and
Test Manufacturing System bya Novel Heuristic Scheduling
Algorithm

Li-li Yao1, Hai-bo Shi2, Chang Liu2
1
Graduate University of the Chinese
Academy of Sciences,Shenyang Institute ofAutomation,CAS, China
2
Wuxi CAS Ubiquitous Information
Technology R&D center Co.Ltd,Shenyang
Institute of Automation, China

Deterministic Joint
Replenishment Problem with
Multiple Restriction: A
Lagrangian Relaxation
Approach
Amit Kumar Gupta1, R R K Sharma1
1
Indian Institute of Technology Kanpur,
India

Optimization of Manufacturing
Planning and Control Systems
in Highly Dynamic
Environments using Bernoulli
Theorem
Johannes Mapokgole1, Tengen Thomas1
1
Vaal University of Technology, South
AfricaA Multi-Crop Production
Planning Model for
Hydroponic Systems With
Nutrient Mix Reusability

Haniel Chua1, Francis Ramirez1, Kyle
Sy1, Dennis Cruz1
1
De La Salle University, Philippines

Bi-objective Simulated
Annealing and Adaptive
Memory Procedure Approaches
to Solve a Hybrid Flow Shop
Scheduling Problem with
Unrelated Parallel Machines

Hmid Mohammadi1, Rashed Sahraeian1
1
Shahed University, Iran

1717

Manufacturing Systems (1)Manufacturing Systems (2)Manufacturing Systems (3)Tue, 11 Dec 11:00 - 12:30
Room: S226

Tue, 11 Dec 13:30 - 15:00
Room: S226

Tue, 11 Dec 15:30 - 17:30
Room: S226

Chairs:Chairs:Chairs:Jiping Lu
Muthu Mathirajan

Abstracts: see page 50

A Multi-objective
Biogeography-based
Optimization for Mixed-modelTwo-sided Assembly Line
Balancing with a Learning
EffectRonnachai Sirovetnukul1, Uamporn
Jansame2, Parames Chutima2
1
Mahidol University, Thailand
2
Chulalongkorn University, Thailand

The Study Wood Furniture
Which Made of Fast Growing
Wood Specie of Azadirachta
exceisa (Jack) Jacobs. for Wood
Industrial Standard by Finite
Element and Design Analysis
of Experiments

Sakkarin Choodoung1, Chalermpon
Buttard1
1
King Mongkut's University of Technology
North Bangkok, Thailand

Analysis of Assembly Sequencefor Effective Assembly Plan of
Wooden Furniture
Sakkarin Choodoung1, Uttapol
Smutkupt2
1
King Mongkut's University of Technology
North Bangkok, Thailand
2
Chiang Mai University, Thailand

Robustness of
Assemble-to-Order Systems
against Unexpected Events
Henri Tokola1, Esko Niemi1
1
Aalto University, Finland

The Role of Total Productive
Maintenance in Manufacturing
Firms: A Review

Kam-Choi Ng1, Gerald Guan Gan Goh2,
Uchenna Cyril Eze3
1
Infineon Technologies, Malaysia
2
Multimedia University, Malaysia
3
Monash University, Malaysia

Critical Success Factors for MES
Implementation in China
Huasheng Yang1, Li Zheng1, Yi Huang1
1
Tsinghua University, China

How Dose Product Innovation
Help New Firm Growth: The
Moderating Effects ofKnowledge from Demand Sideand Business Environment
Chaoqun Zhang1, Xiaobo Wu1
1
Zhejiang University, China

18

Ronnachai Sirovetnukul
Jiping Lu

Abstracts: see page 51

Reconfigurable Mixed Model
Assembly Line Design in a
Dynamic Production
Environment

Dida Damayanti1, Isa Setiasyah Toha2
1
Telkom Institute of Technology, Indonesia
2
Bandung Institute of Technology, Indonesia

Deconstructing Emerging
Business Ecosystems:
Explorations of the ChineseElectric Vehicle Industry

Tianjiao Shang1, Yongjiang Shi1
1
University of Cambridge, United Kingdom

A New Decision Making
Approach for the Formation ofHolonic Agent-based
Manufacturing Networks

Guiovanni Jules1, Mozafar Saadat1, Nan
Li1
1
University of Birmingham, United
Kingdom

The Hybrid Manufacturing
Cell: Determining Key
Parameters in the Integration of
Powder Bed Fusion with High
Speed Milling
Vegard Brotan1, Klas Magnus Bovie2
1
Norwegian University of Science andTechnology , Norway
2
SINTEF Raufoss Manufacturing AS,
NorwayLinking Strategic Goals withOperational Performance: An
Integrated Approach

Antonio Almeida1, Daniel Politze2,
Alvaro Caldas1, Americo Azevedo1
1
INESC TEC, Faculdade de Engenharia da
Universidade do Porto, Portugal
2
ETH Zurich, Switzerland

Performance Modeling ofReconfigurable Manufacturing
System for Different
Dispatching Strategies Under
Exception

Faisal Hasan1, P.K Jain1, Dinesh Kumar1
1
Indian Institute of Technology Roorkee,
India

Reactive Scheduling for
Non-disruptive Job Processing
Against Machine Breakdowns

Wan-Ling Li1, Muhammed Hafidz
Fazli1, Tomohiro Murata1
1
Waseda University, Japan

Yong-Zai Lu
Ronnachai Sirovetnukul

Abstracts: see page 52

The Robust Scheduling
Solutions for Parallel Machine
Systems Under an Uncertain
Environment
Xuanhao Zhou1, Yong-Zai Lu1
1
Zhejiang University, China

Study on the Layered Predictive
Control Algorithm for the Main
Steam Temperature of
Ultra-supercritical Units
Shihe Chen1, Wenkai Hu2, Xin Li2
1
Guangdong Electric Power ResearchInstitute, China
2
Wuhan University, China

Optimization of Power Station
Boiler Coal Mill Output Basedon the Particle Swarm
Algorithm
Yanjun Fang1, Xiaojie Qin1, Yuan Fang1
1
Wuhan University, China

Lean Manufacturing in Textile
Industry of Pakistan
Ali Husnain Rabbani1, Muhammad
Asim2
1
National University of Sciences andTechnology, Pakistan
2
Center For Advanced Studies In
Engineering, Pakistan

Scheduling a BPM with
Incompatible Job-Families andDynamic Job-Arrivals
Muthu Mathirajan1, M Vimalarani1
1
Indian Institute of Science, India

Characteristic Simulation ofHigh Pressure Common Rail
Pipe

Jiping Lu1, Fan Hongli1, Wang
Lianhong2, Song Hao1, Pan Yong1
1
Beijing Institute of Technology, China
2
China North Engine Research Institute,
China

Integration of Sustainability
and Mass Customization:
Proposal of a Framework to
Map Research Open Issues

Golboo Pourabdollahian1, MahnooshZebardast1, Marco Taisch1
1
Politecnico di Milano, Italy

Deciphering Business
Ecosystem Capabilities of theEmerging Electric Vehicle
Industry

Tianjiao Shang1, Feifan Chang1,
Yongjiang Shi1
1
University of Cambridge, United Kingdom

18

Technology and Knowledge
Management (1)Technology and Knowledge
Management (2)Technology and Knowledge
Management (3)Tue, 11 Dec 11:00 - 12:30
Room: S227

Tue, 11 Dec 13:30 - 15:00
Room: S227

Tue, 11 Dec 15:30 - 17:30
Room: S227

Chairs:Chairs:Chairs:

Lin Gong
Matti Karvonen

Abstracts: see page 53

Effective Wi-Fi Setting User
Experience Design by Using
Systematic Innovation Method
Song-Kyoo Kim1
1
Asian Institute of Management,
Philippines

Making Mergers More Effective
Through Technology
Management
Murali Krishna Kuppili1, Ramachandra
Aryasri2
1
SoCtronics Technologies Pvt. Ltd., India
2
JNTU, India

A Study on the Job Satisfactionof Governmental Labor
Inspectors in Taiwan
Fu-Man Hsieh1, Yichun Yu2, Y.C. Lin2,
P.-J. Tsai3
1
Wenzao Ursuline College of Languages,
Taiwan2Institute of Occupational Safety and
Health, Taiwan
3
China Medical University, Taiwan

Interpretive Structural Modelof Key Performance Indicators
for Sustainable Manufacturing
Evaluation in Automotive
Companies
Elita Amrina1, Sha'ri Mohd Yusof2
1
Andalas University, Indonesia
2
Universiti Teknologi Malaysia, Malaysia

How to Use the Big Data to theTechnology Planning: A
Data-Driven Technology
Roadmapping Using ARM

Tritos Laosirihongthong
Ching-Yu Lien

Abstracts: see page 54

Locating the Key Competitors:
A New Tool for Technology
Manager

Chung-Huei Kuan1, Mu-Hsuan Huang2,
Dar-Zen Chen2
1
National Taiwan University of Science andTechnology, Taiwan
2
National Taiwan University, Taiwan

Leadership as a Determinant of
Product Innovation: aSystematic Review of the
Literature

Tharnpas Sattayaraksa1, Sakun Boon-itt2
1
Hatyai University, Thailand
2
Thammasat University, Thailand

A Knowledge Service
Framework for Product-design
Activities

Si Chen1, Yan Yan1, Wang Zhao2, Wang
Guoxin1, Zhao Yijing1
1
Beijing Institute of Technology, China
2Center for Space Science and Applied
Research, China

Abstracts: see page 55

Technology Evaluation
Practices in Universities
Technology Transfer Offices
Fernando Romero1, Antanio Rocha1
1
University of Minho, Portugal

Knowledge Visualization in
Product Development using
Trade-Off Curves

Maksim Maksimovic1, Ahmed
Al-Ashaab1, Robert Sulowski2, Essam
Shehab1
1
Cranfield University, United Kingdom
2Sitech, Poland

Impact of Enterprise Strategic
Flexibility on Innovation
Performance: Based on Dual
Perspective of Proactive andReactive

Zhigang Fan1, Dongmei Fan2, Sun Yuan3
1
Hangzhou Normal University, China
2
Zhongnan University of Economics andLaw, China
3
Zhejiang Gongshang University, China

Capability Development - No
Path, Response to Competition:
The Cross-case of Google,
Ericsson, Microsoft and Nokia

Care Apparel Design Reuse
System: Design and
Implementation

Analysis Individual Tacit
Knowledge Toward Innovation

Patent-based Indicators forAnalyzing the Wind Power
Markets

Mait Rungi1, Alar Kolk2
1
Tallinn University of Technology, Estonia
2
Aalto University, Finland

Youngjung Geum1, Hyeonjeong Lee1,
Yongtae Park1
1
Seoul National University, South Korea

Augustina Asih Rumanti1, Iwan
Inrawan Wiratmadja2, Trifenaus Prabu
Hidayat1
1
Atma Jaya Catholic University ofIndonesia, Indonesia
2
Bandung Institute of Techonlogy, Indonesia

E-service Concept Design in
Recombinative Innovation: A
Morphology Analysis
Approach

The Mediating Role ofAbsorptive Capacity between
Financial Slack andPerformance

Jieun Kim1, Yongtae Park1
1
Seoul National University, South Korea

Song-Kyoo Kim
Bibo Yang

Antonio Verdu1, Lirios Alos-Simo1, JoseMaria Gomez-Gras1, Maria Jose
Alarcon-Garcia1
1
University of Miguel Hernandez, Spain

Bibo Yang1, Lei Ai2
1
The Hong Kong Polytechnic University,
China
2
Donghua University, China

Matti Karvonen1, Rahul Kapoor1,
Tuomo Kassi11Lappeenranta University of Technology,
Finland

The Role of Funding Source forCommercializing University
Patents: Network Analysis on
Technology - Industry Linkage
Patterns

Yongrae Cho1, Sanghoon Lee1, Wonjoon
Kim1
1
KAIST (Korea Advanced Institute of
Science and Technology), South Korea

Knowledge Management andLearning Organization: Linking
Knowledge-based System toService Delivery Processes
Wen-Jung Chang1, Christina Tay2
1Delin Institute of Technology, Taiwan
2Chinese Culture University, Taiwan

A STEP-based ProductKnowledge Model for
One-of-a-kind Production

Bomiao Li1, Shane Xie1, Xun Xu1
1
University of Auckland, New Zealand

1919

Reliability and MaintenanceEngineering (1)Reliability and MaintenanceEngineering (2)Project Management (1)Tue, 11 Dec 11:00 - 12:30
Room: S228

Tue, 11 Dec 13:30 - 15:00
Room: S228

Tue, 11 Dec 15:30 - 17:30
Room: S228

Chairs:Chairs:Chairs:Roger Jiao
ZhengGuo Xu

Abstracts: see page 56

Abstracts: see page 57

Optimal Maintenance Service
Contract for Equipments with
Availability Target

Bermawi Iskandar1, Hennie Husniah1
1
Bandung Institute of Technology, Indonesia

Specification of Change Pointsof Failure Rate or Intensity
Function: A Non-parametric
Approach
Renyan Jiang1
1
Changsha University of Science andTechnology, China

Reliability Analysis Based on
Jump Diffusion Models for an
Open Source Cloud Computing
Yoshinobu Tamura1, Hirona Miyahara2,
Shigeru Yamada2
1
Yamaguchi University, Japan2
Tottori University, Japan

Quantification ofOrganizational Influences on
Failure Rate: A BayesianApproach

Hui Jin1, Marvin Rausand1, Ali Mosleh2,
Stein Haugen1
1
Norwegian University of Science andTechnology, Norway
2
University of Maryland, United States

Failure Rate Prediction in
Various Life Cycle Phases: A
Framework for Updating
Maryam Rahimi1, Marvin Rausand1
1
Norwegian University of Science andTechnology, Norway

Optimal Transmission Lines
Assignment in a Multi-source
Multi-sink Computer Network
Yun Zhang , ZhengGuo Xu , JianGang
Lu1, YouXian Sun1
1
Zhejiang University, China
1

R. Jiang
Yoshinobu Tamura

1

Simulation Evaluation ofState-based Preventive
Maintenance for a Machinewith Multiple Quality States

Chao Qi1, Hongwei Wang1, Sivakumar
Appa Iyer2
1
Huazhong University of Science andTechnology, China
2
Nanyang Technological University,
Singapore

Remaining Lifetime
Assessment of a Deteriorating
System Operating Under
Permanent Effect of Fluctuant
Environment

Elias Khoury1, Estelle Deloux1, Antoine
Grall1, Christophe Berenguer2
1
Troyes University of Technology (UTT),France2
Grenoble Institute of Technology, France

Thermooxidation Degradationand Life Prediction of Nitrile
Butadiene Rubber Based on
Kinetics Model

Kun Zhang1, Jinyong Yao1, Tongmin
Jiang11
Beijing University of Aeronautics andAstronautics, China

Probabilistic Modeling ofSolder Joint Thermal Fatigue
with Bayesian Method
Limei Xie1, Ying Chen1, Rui Kang1
1
Beihang University, China

Reliability-Based Structural
Design: A Case Study of Car
WheelsYitao Liu1, Feng Zhou1, Roger Jiao1
1
Georgia Institute of Technology, UnitedStatesReliability Assessment andAnalysis of Incorporating Fault
Tolerance into Service-oriented
Architectural Systems
Kuan-Li Peng1, Chin-Yu Huang1
1
National Tsinghua University, Taiwan

Blade-based Maintenance
Policy of Offshore Wind
Turbine with the Presence ofCovariate under Random ShockWenjin Zhu1, Mitra Fouladirad1,
Christophe Berenguer2
1
University of Technology of Troyes, France
2
Grenoble Institute of Technology, France

Leon Pretorius
Tomasz Blaszczyk

Abstracts: see page 58

An Integer-Programming
Approach to Benefit-Maximal
Selection and Scheduling ofResource-Constrained Projects
Gianluca Brandinu1, Norbert
Trautmann1
1
University of Bern, Switzerland

An Investigation into theRelationship between ProjectManagement Maturity andProject Performance in the
Telecommunications Industry
in Zimbabwe

Tapiwa Murambiwa1, Marie-Louise
Barry2
1
University of Pretoria, South Africa
2
Tshwane University of Technology, South
AfricaUnlocking Critical Success
Factors and Criteria in Capital
Projects – A Perspective From
the South African
Petrochemical Industry

Marie-Louise Barry1, Danver Jacobs2
1
Tshwane University of Technology, South
Africa2
University of Pretoria, South Africa

Responding to an Ageing
Workforce and the Implications
for Engineering Management
Julien Pollack1
1
University of Technology Sydney,
Australia

Risk Crash: a New Approach to
Quantify the Relationship
Between Risk of Delay andProject Duration

Tommaso Salvagnini1, Giorgio
Locatelli2, Mauro Mancini1, Edoardo
Cesa Bianchi1
1
Politecnico di Milano, Italy
2
University of Lincoln, United Kingdom

Role Development forInterdisciplinary Collaboration
Support in Biomimetics

Manuela Iulia Parvan1, Hendrik Oepke1,
Katharina Kaiser1, Udo Lindemann1
1Technische Universitat Munchen,
Germany

A New Event-based MILP
Model for the
Resource-constrained Project
Scheduling Problem with
Variable Intensity Activities(RCPSVP)
Alain Hait1, Georges Baydoun1
1
University of Toulouse, ISAE, France

Resource Constrained Project
Scheduling Problem: A DEA
based Genetic Algorithm

Behzad Ashtiani1, Fatemeh Paidar1,
Amir Masoud Hosseinmardi1, Esmaeil
Najafi Trojani1
1
Science and Research Branch of Islamic
Azad University, Iran

20

20

Intelligent Systems (1)Intelligent Systems (2)Safety, Security and Risk
Management (1)Tue, 11 Dec 11:00 - 12:30
Room: S229

Tue, 11 Dec 13:30 - 15:00
Room: S229

Tue, 11 Dec 15:30 - 17:30
Room: S229

Chairs:Chairs:Chairs:Jose Machado
Jaekyung Yang

Abstracts: see page 59

Intelligent Systems based in
Hospital Database Malfunction
Scenarios

Paulo Silva1, Cesar Quintas2, Pedro
Goncalves1, Gabriel Pontes1, ManuelSantos1, Antonio Abelha1, Jose
Machado1
1
University of Minho, Portugal
2
Centro Hospitalar do Porto, Portugal

Monitoring Intelligent System
for the Intensive Care Unit
using RFID and Multi-Agent
Systems

Rui Rodrigues1, Pedro Goncalves1, Luis
Miguel Miranda1, Carlos Filipe Portela1,
Manuel Santos1, Jose Neves1, Antonio
Abelha1, Jose Machado1
1
University of Minho, Portugal

Image Analysis for Pig
Recognition Based on Size andWeightApirachai Wongsriworaphon1, Supachai
Pathumnakul 1, Banchar
Arnonkijpanich1
1
Khon Kaen University, Thailand

Ontology-Based Context Modelof Turret

Qiqi Yin1, Qing Xue1, Minxia Liu1, Kan
Zhang11
Beijing Institute of Technology, China

An Artificial Neural Network
Approach for Estimating
Suitable Ratio of Filling Fat inAnimal Feed Production

Mongkon Ittiphalin1, Supachai
Pathumnakul 1, Kullapapruk
Piewthongngam1, S. Homdee1
1
Khon Kaen University, Thailand

Rule Extraction Using Firefly
Optimization: Application to
BankingNaveen Nekuri1, Ravi Vadlamani1,
Raghavendra Rao C2, Sarath K.N.V.D1
1
Institute of Development and Research in
Banking Technology, India
2
University of Hyderabad, India

Allan Nengsheng Zhang
Ronnachai Sirovetnukul

Abstracts: see page 60

An AI-based System for
Telecommunication Network
Planning

Kin Poon1, Andrej Chu1, Anis Ouali1
1
Khalifa University of Science, Technology
and Research, United Arab Emirates

An Efficient Approach for
Updating the Structure for
Mining Frequent Patterns

Show-Jane Yen1, Yue-Shi Lee1, Jia-Yuan
Gu1
1
Ming Chuan University, Taiwan

Architecture of Knowledgeable
Manufacturing System andKnowledge Representation
Methods
Youlong Lv1, Wei Qin1, Jie Zhang1
1
Shanghai Jiao Tong University, China

An Intelligent System for
Production Resources Planningin Hong Kong Garment
Industry
Kar Hang Carmen Lee1, K.L. Choy1,
Kris, M Y Law1, G.T.S. Ho1
1
The Hong Kong Polytechnic University,
Hong Kong

Buyer-Supplier Predicting
Offers in Supply Contract
Negotiation Using Neural
Network

Yusraini Muharni1, Chao Ou-yang2,
Chun Ching Lee3
1
National Taiwan University of Science andTechnology, Taiwan, University of Sultan
Ageng Tirtayasa, Indonesia
2
National Taiwan University of Science andTechnology, Taiwan
3
Tungnan University, Taiwan

R.M. Chandima Ratnayake
Masanori Akiyama

Abstracts: see page 61

Addressing IT Security in
Practice: Key Responsibilities,
Competencies and Implications
on Related Bodies ofKnowledge

Younes Benslimane1, Ankit Patel1,
Bouchaib Bahli2, Zijiang Yang1
1
York University, Canada
2
ESC School of Business, France

Hybridization of Statistical andCognitive Experience Feedback
to Perform Risk Assessment.
Application to Aircraft
Deconstruction

Eric Villeneuve1, Cedrick Beler1,
François Peres1, Laurent Geneste1
1
LGP/ENIT - Université de Toulouse,
FranceA Study of Fire Evacuationfrom an Industrial Building
Using Simulex
Diana Freitas1, Pedro Arezes1
1
University of Minho, Portugal

Noise Risk Assessment of
Taiwan High Speed RailKang-Ting Tsai1, Y. T. Huang1,
Min-Der Lin1
1
National Chung Hsing University, Taiwan

The Effect of Maintenance Seen
From Different Perspectives on
Major Accident Risk
Peter Okoh1, Stein Haugen1
1
Norwegian University of Science andTechnology, Norway

Study on Classification of
Safety-related Organizational
Factors in a Nuclear Power
Plant

Dai Licao1, Pengcheng Li1, Huang
Shudong1, Zhao Ming1
1
University of South China, China

Quantitative Research of Risk
Relationships of Sewage
Treatment Plants Based on
Concession Operation
Hui Sun1, Yanhong Lu1
1
Tianjin University, China

Theoretical Research on
Crossflow Pollution in ShortDistance and Continuous Road
Tunnels

Pai Xu1, Shu-ping Jiang2, Zhi Lin2,
Jian-zhong Chen2
1
Chongqing Jiaotong University, China
2
China Merchants Chongqing
Communications Research & Design
Institute Co., Ltd., China

2121

Poster Session 1

p.62

Tue, 11 Dec
Level 2 Foyer
p.62

Integration of Supply Chains
via Vertical Merger andAcquisition: Mechanism andPolicyEnabling of Sustainable
Supply Chain Managementwith Lean Thinking - A
Comparative Study of
Manufacturers in Kyoto
Protocol Signatory Countries
Stuart So1, Hongyi Sun2
1
The University of Queensland,
Australia
2
City University of Hong Kong, Hong
Kong

p.62

p.63

The Impact of Information
Technology on Supply Chain
Management Capabilities: A
Resource-Based View

p.63

p.63

p.62

Value Stream Mapping
Analysis for Improving theHarvesting and Transport
Processes of Cotton
Yulin Li1, Shuping Yi2
1
Chongqing University,Shihezi
University, China
2
Chongqing University, China

p.62

Yan Liang , Joseph Chen1
Bradley University, United States
1

p.62

p.63

Hsiu-Hsueh Kao1, Din-Horng Yeh2,
Sih-Ting Huang2
1
Tamkang University, Taiwan
2
National Chung Cheng University,
Taiwan

p.63

p.63

p.64

p.63

A Study of Software
Reliability Growth Model for
Time-dependent Learning
Effects

Air Traffic Management of an
Airport Using Discrete Event
Simulation Method
Maurizio Bevilacqua1, Filippo
Ciarapica2, Giovanni Mazzuto1,
Leonardo Postacchini2
1
Università Politecnica delle Marche,
Italy
2Free University of Bolzano-Bozen, Italy

p.64

Insertion Loss Analysis of
Perforated Panel Muffler
Using Finite Element Methodwith Equivalent Fluid Model

Jingxiang Li1, Shengdun Zhao1,
Kunihiko Ishihara2
1
Xi'an Jiaotong University, China
2
The University of Tokushima, Japan

p.64

Personnel Selection System
Framework Research

Zhengsheng Han1, Hongyan Dui1,
Shudong Sun1
1
Northwestern Polytechnical University,
China

p.64

From Individual Creativity toTeam Creativity

Liqun Wen1, Mingjian Zhou1, Qiang
Lu1
1
Harbin Institute of Technology
Shenzhen Graduate School, China

p.64

Application of Affective
Engineering in the Opening
and Closing of Sport Utility
vehicle Tailgates
Taebeum Ryu1
1
Hanbat National University, South
Korea

p.64

The Improvement in the
Reliability Problem for Air
Current Breaker’s Over
Current Protect Function

Cheng-Chung Chien1, C.N. Chang1,
Yung-Tang Wu1, C. C. Tseng1, D.H.
Chiu 1, J.K. Wan1, C.S. Wu1, C.T. Hsu1,
E.D. Chen1, F.H. Li1, T.H. Shao1
1
Tainwan Semiconductor Manufacturing
Company, Taiwan

A Performance Comparison
Between the Base Stock (BS),Traditional Kanban Control
System (TKCS) and Extended
Kanban Control System(EKCS)
Alvin Ang1
1
Nanyang Technological University,
Singapore

The Design of an AGV in the
Manufacturing Cell

Suksan Prombanpong1, W
Kiattiphatthananukul1, A
Songsanan1, Assariya Sukin1
1
King Mongkut’s University ofTechnology Thonburi, Thailand

Towards Better Supply Chain
Visibility - the Design and
Implementation of a Supply
Chain System S-ConTrol to
Support an Operational HQ
in Singapore

Wen Jing Yan1, Puay Siew Tan1, Niak
Wu Koh1, Tan Yong Qiang1, Allan
Nengsheng Zhang1
1Singapore Institute of Manufacturing
Technology, Singapore

p.64

1

Mathematical Programming
Model for Type-I Two-sided
Assembly Line Balancing
ProblemVibrations of Timoshenko
Beams with Damping andForcing Terms
Norio Yoshida1
1
University of Toyama, Japan

Manjunath Gowda , H. N. Suresh , K.
M. Basappaji1
1
Jawaharlal Nehru National College ofEngineering, India

Effects of Information
Transparency on Supply
Chain Quality Management

JIng Hua Xiao1, Zhao Lin Cheng1, Cai
Wen Zhang1, Kang Xie1
1
Sun Yat-Sen University, China

AHP in Prioritizing Vibration
Parameters for Maintenanceof Machine Tools
1

Decision to Refurbished
Products Based on
Cost-benefit ofRemanufacturing Model in
Closed Loop Supply Chain
1

p.62

p.63

p.64

The Associations between
Professional Commitment,
Learning Burnout, and Grade
Point Average inIndependent College
Students

Aiqun Yu1, Ji-Wei Ma2, Yi-Wen Chen2
1
Key Laboratory of Behavioral Science,
Institute of Psychology, Chinese
Academy of Sciences ;Canvard College,
Beijing Technology and Business
University, China
2
Institute of Psychology, Chinese
Academy of Sciences, China

Research on Machining
Process Reliability in
Multi-procedure Machining
Processes

Ping Jiang1, Yunyan Xing1, Yajie Liu1,
Bo Guo1, Gan Lin2
1
National University of Defense
Technology, China
2
EAAF, China

2-tuple Linguistic PrioritizedHarmonic Applied to Group
Decision Making

Jin Han Park1, Jong Jin Seo1, Young
Chel Kwun2
1
Pukyong National University, South
Korea
2Dong-A University, South Korea

A Heuristic Method based on
Genetic Algorithm for
Storage Location Assignment
in a Pick-and-PassWarehousing System with
Multiple Pickers

Po-Hsun Shih1, Jason Chao-Hsien
Pan2, Ming-Hung Wu2
1
Vanung University, Taiwan
2
Takming University of Science andTechnology, Taiwan

Using Decision Analysis
Method to Evaluate the
Cost-effectiveness of Similareffect Medical Materials in
Hospital

Nai-Chuan Fang1, Ming-Jong Yao2,
Tsueng-Yao Tseng3
1
Taichung Veterans General Hospital,
Taiwan2
National Chiao Tung University,
Taiwan3Tung Hai University, Taiwan

Yi- Fen Su1
1
Minghsing University of Science andTechnology, Taiwan

p.62

p.64

Weidong Lin1, E.S. Chan1, S.Y. Chia1,
H. Li11
Temasek Polytechnic, Singapore

Haiyan Yan1, Wenbin Zhao1, Bo Xu1
1Shanghai Institute of Foreign Trade,
China

p.62

Hybrid Ant Colony
Optimization for LibraryDistribution Network

The Impact Study ofTransformational Leadership
Style on Organizational
Success
Akechai Judkrue1
1
Assumption University of Thailand,
Thailandp.65

The Effect of Online Service
Failures on Consumer
Repurchase Intention Basingon Mainland China Online
Retailing
Junfeng Liao1, Linlin Zhong11South China University of Technology,
China

Kuei-Chen Chiu1
1
Hsing Kuo University of Management,
Taiwan

22

22

p.65

Exploring the Intention ofCustomers to Use Innovative
Digital Content Information
Technology

p.66

Rohayati Ramli1, Mohd. Noah
Shahrul Azman1, Mohd Yusof
Maryati1
1
Universiti Kebangsaan Malaysia,
Malaysia

D.Y. Sha1, Guo-Liang Lai2
1
Chung Hua University, Taiwan
2
National Chiao Tung University,
Taiwanp.65

New Formal Approach To
Project Critical Buffer

p.66

Tomasz Blaszczyk1, Pawel Blaszczyk2
1
University of Economics, Poland
2
University of Silesia, Poland

p.65

Investment Decisions on theCase Industrial Port BOT
Project

Tyrone T. Lin1, H.C. Su1
1
National Dong Hwa University, Taiwan

p.65

p.66

A Trimming Design Method
for Product Innovation

Multi-project Planning andOptimisation for Shipyard
Operations

Allan Nengsheng Zhang1, B. Ma1, D.
Loke2, S. Kumar2, Y. Y. Chan2
1
Singapore Institute of Manufacturing
Technology, Singapore
2
Astoria Consulting Pte Ltd, Singapore

p.65

Research on Jiangsu PV Solar
Industrial Cluster Upgrading
Driven by RJVs
Lan Chen1, Bo Wu2
1
Hehai University;Yancheng Institute ofTechnology, China
2
Hehai University, China

p.65

Exploring the Impact ofPatent Expenditures on
Performance: Evidence from
Chinese Stock Market
Xin Li1
Chongqing University of Technology,
China
1

p.65

Leader’s Values, Abusive
Supervision, and Employee
Performance: A Theoretical
Model

Xiaoli Wen1, Chunhua Chen1
1
South China University of Technology,
China

p.65

p.66

Temporal Network Analysisof Emerging Technologies:
Topic Transition in World
Wide Web (WWW)
Conferences
Kazuma Arino1, Takao Furukawa1,
Nobuyuki Shirakawa1, Kumi
Okuwada1
1
National Institute of Science andTechnology Policy, Japan

p.66

Knowledge Asset-based
Three-stage Model of
Innovative Enterprises
Evolution

Yunmei Wang1, Chunlin Si1, Fan Xia1,
King-Lien Lee2
1
Fudan University, China
2
National Taipei University ofTechnology, Taiwan

Analysis of RFID Technology
on Controlling Shrinkage
and Anti-counterfeiting inLuxury Industry

p.67

The Service Science PracticeResearch: A Proof of Service
Concept on i236 Project in
New Taipei City

Hung Chih Lai1, Yao Cheng Yu2, Kae
Kuen Hu2, Hui Shan Kuo2
1
Shih Chien University, Taiwan
2
National Taiwan University, Taiwan

p.67

p.67

p.67

Ten Steps in Mixed
Engineering Education andTraining
Hsing-yu Hou1, Huey-shing Tsai1
1
University of Transworld, Taiwan

p.67

Extra-cluster Knowledge
Search and Innovation
Performance: An Empirical
Study Based on Industrial
Cluster Firms from Yangtze
River Delta in China

Ru-yan Hong1, Jianmei Miao2
1
Zhejiang University, Hangzhou Normal
University, China
2
Hangzhou Normal University, China

p.67

A Study of Regional
Distributions andDissimilarity Measures forMulti-Scale Nonlinear
Structure Tensor in Texture
Segmentation

Shoudong Han1, Yong Zhao1,
Wenbing Tao1
1
Huazhong University of Science andTechnology, China

p.68

Research on Project Portfolio
Management of ProductDevelopment based on 3D
Visualization

Angang Wei1, Gang Zhao1, Changyu
Chen1, Fei Wang1
1
Beihang University, China

p.68

Research of Idea Generation
Process for Fuzzy Front End
Based on Patent Analysis

Jing Guo1, Ping Jiang1, Jingwei Guo1,
Runhua Tan1
1
Hebei University of Technology, China

p.68

The Evaluation of Enterprise
Manufacturing Services
Maturity Model

Hao Li1, Yangjian Ji2, Xinjian Gu2,
Guoning Qi2
1
Zhejiang University, Zhengzhou
University of Light Industry, China
2
Zhejiang University, China

Visionary Leadership as a
Catalyst for Innovative
Culture in SMEs

Bingwen Yan1, Wilson Maladzhi1,
Oluwole Daniel Makinde1
1Cape Peninsula University ofTechnology, South Africa

Impact of Passionate andCharismatic Leadership on
Creativity and Innovation
within SMEs

Wei Xu1, Zhaotong Lian1, Xifan Yao2
1
University of Macau, China
2South China University of Technology,
China

Research on the KMS for
Small and Medium
Manufacturing Enterprises
based on ASP and CSP

Huiyu Huang1, Jianying Luo1,
Zhicong Zhang1
1
Dongguan University of Technology,
China

p.67

Wilson Maladzhi1, Bingwen Yan1,
Oluwole Daniel Makinde1
1Cape Peninsula University ofTechnology, South Africa

p.66

Evaluating the Reliability of
Infrastructure Networks by
Resilience Analysis
C.Y. Lam1, K. Tai1
1
Nanyang Technological University,
Singapore

Study of Supplier Support
through New ProductDevelopment in System
Integration Industry Comparison of Case Studies
based on Different Product
Newness
Min-Sun Wuang1, Kuei-Fei Yang1
1
Fu Jen Catholic University, Taiwan

p.66

p.67

Patent Portfolio Efficiency
Using Data Envelopment
Analysis: Case of Wind
Power Market

Rahul Kapoor1, Matti Karvonen1,
Tuomo Kassi11Lappeenranta University of Technology,
Finland

Yao-Tsung Ko1, Ping-Hong Kuo1
1
Tunghai University, Taiwan

p.65

Modelling Ontology for
Supporting Human Resource
Planning Process

Virtual Human Emotional
Behavior Model based on
Neural Network

Na Ren1, Tingting Zhao1, Hongjiang
Wang1, Rongxue Zhang1, Wenqiang
Zhang1, Nan Zhang1
1
Shenyang Institute of Engineering,
China

p.68

Research on Image Matting
Technology Based on Image
Edge Detection

Rongxue Zhang1, Tingting Zhao1,
Renna 1, Hongjiang Wang1
1
Shenyang Institute of Engineering,
China

Bilingual Teaching Practicesof "Quality and Reliability
Engineering" Course
R. Jiang1, T. Wang1
1
Changsha University of Science andTechnology, China

p.67

An Empirical Study on
Influencing Factors ofConsumer Behavior ofEngineering Insurance
Li Dong1, Yan-ling Liu1
1
Tongji University, China

2323

Decision Analysis & Methods (4)Human Factors (1)Human Factors (2)Wed, 12 Dec 11:00 - 12:30
Room: S221

Wed, 12 Dec 13:30 - 15:00
Room: S221

Wed, 12 Dec 15:30 - 17:30
Room: S221

Chairs:Chairs:Chairs:Jin Han Park
Junzo Watada

Abstracts: see page 69

Seng Fat Wong
Jia-Hua Lin

Abstracts: see page 70

Factors for the Introduction of
RFID on the Distribution
IndustryHsin-Pin Fu1, Z.J Du2, A Lin3, Y.L Lin1
1
National Kaohsiung First University of
Science and Technology, Taiwan
2
Ministry of Economic Affairs, Taiwan
3
National Taipei University, Taiwan

Decision Evaluation for
Damage Evaluation andPrevention Analysis in Bank
Operational Risk Management
Aron Larsson1, Sara Vickman1
1
Mid Sweden University, Stockholm
University, Sweden

Evaluating GHG Components
using Artificial Intelligence:
Connection Weight Approach

Oludolapo Olanrewaju1, Adisa Jimoh1,
Pulek Kholopane2
1
Tshwane University of Technology, South
Africa2
University of Johannesburg, South Africa

The AHP-based Decision
Making on Innovation
Trajectories in Public Researchand Development
Organisations

Pawadee Meesapawong , Yacine
Rezgui1, Haijiang Li1
1
Cardiff University, United Kingdom

Haw-Ching Yang1, T.H. Tsai2, H.W.
Chen2, F.T. Cheng2
1
National Kaohsiung First University,
Taiwan2
National Cheng Kung University, Taiwan

Analyzing Consequences ofDiabetes Mellitus Using
Intuitionistic Fuzzy Set

Sujit Das , Samarjit Kar
1
Dr. B.C. Roy Engg. College, India
2
National Institute of Technology Durgapur,
India
1

2

Effects of Buyers Capacity
Limitation in an Integrated
Lead Time Controllable
Consignment Stock Inventory
SystemHuizhi Yi1, Bhaba Sarker1
1
Louisiana State University, United States

Abstracts: see page 71

Assessment of Architecturaland Physical Factors in Human
Resources Performance in
Project-Oriented Organizations

Applied Human Factors
Engineering in Advanced
Carriage Design of Mass
Transport System

Effects of Load-Carrying
Postures and Gender on
Postural Sway

Managerial Compensation andEarnings Management: From
the Managerial Overconfident
Perspective

Mona Foroozanfar1, Mahmood
Golabchi1, Saied Yousefi1
1
University of Tehran, Iran

Xingda Qu1
1
Nanyang Technolgoical University,
Singapore

Study on Construction and
Implement of User Model in
Turret Display and Control
SystemKan Zhang1, Qing Xue1, Minxia Liu1,
Qiqi Yin1
1
Beijing Institute of Technology, China

Human-computer Interaction
Analysis of Turret Based onContext-Aware

Li-Ying Feng1, Qi-qi Yin2, Li-tao Wang1,
Qing Xue2
1
Zhuhai Campus Beijing Institute ofTechnology, China
2
Beijing Institute of Technology , China

1

An Optimal LED Allocation
System Based on Multilevel
Integer Programming Method

Xingda Qu
Saied Yousefi

The Comparison of Ergonomics
Postures Assessment Methods
in Rubber Sheet Production
Panya Wintachai1, Nivit Charoenchai11Chiang Mai University, Thailand

A Paper Prototype Usability
Study of a Chronic Disease
Self-management System forOlder Adults

Da Tao1, Calvin Or1
1
The University of Hong Kong, Hong Kong

Property of Worker Allocation
Optimization with Two
Professional Workers in
Limited-Cycle Multiple Periods
Xianda Kong1, Jing Sun2, Hisashi
Yamamoto1, Masayuki Matsui3
1
Tokyo Metropolitan University, Japan
2
Nagoya Institute of Technology, Japan
3
Kanagawa University, Japan

Seng Fat Wong1, Qili Chen1
1
University of Macau, Macau

Jing Sun1, Xiaofeng Jv1, Yanmin Peng1,
Yue Chang1
1
Harbin Institute of Technology, China

A Study and Survey on theService Condition ofBarrier-free Facilities in theTransportation System with
Ergonomic Evaluation

Seng Fat Wong1, Lili Zhong1, Weng
Keong Chan1, Weng Hou Leong1, Kin
Seng Ho1
1
University of Macau, Macau

Association of Visual Abilities,
Motor Skill and Anticipation
Responses on Parking
Performance

Bor-Shong Liu1, Hsien-Yu Tseng1,
Tung-Chung Chia2, Tsung-Yen Ho1,
Yu-Ho Chen1
1
St. John’s University, Taiwan
2Ling Tung University, Taiwan

An Airworthiness SHELL
Model for Aircraft Maintenance
Tsun Tat Wong1, Sun Tong11Hong Kong Polytechnic University, Hong
Kong

The Mediating Impact ofErgonomics Between Existing
Safety Culture And Targeted
Safety Culture Amongst Safety
And Health (SH) Practitioners

Rozlina Md Sirat1, Awaluddin
Mohamed Shaharoun 1, Norhayati
Zakuan1, Syed Abdul Hamid Syed
Hassan2
1
Universiti Teknologi Malaysia, Malaysia
2
Ministry Of Human Resource, Malaysia

Ergonomics Effects of Work
Pace And Work:Rest Ratio on
Repetitive Powered Handtool
Operations
Jia-Hua Lin1, Raymond McGorry1,
Rammohan Maikala1
1
Liberty Mutual Research Institute for
Safety, United States

Causing Mechanism Analysis
of Human Factors in the Marine
Safety Management Based on
the Entropy
Haiyan Wang1, Tingting Dai1
1
Wuhan University of Technology, China

24

24

Operations Research (4)Operations Research (5)Engineering Education and Training

Wed, 12 Dec 11:00 - 12:30
Room: S222

Wed, 12 Dec 13:30 - 15:00
Room: S222

Wed, 12 Dec 15:30 - 17:30
Room: S222

Chairs:Chairs:Chairs:

Tatsushi Nishi
Kiyoshi Sawada

Abstracts: see page 72

Investigating Sensitivity ofMulti Response Optimization
Methods

Nitendra Gautam1, Om Prakash Yadav1,
Bimal Nepal2
1
North Dakota State University, UnitedStates2Texas A & M University, United States

Comparing Two Proposed
Meta-Heuristics to Solve a New
P-Hub Location-Allocation
ProblemAli Ghodratnama1, Reza
Tavakkoli-Moghaddam2, Armand
Baboli 3
1
University of Tehran, Iran, INSA-Lyon,
DISP Laboratory, France
2
University of Tehran, Iran3
INSA-Lyon, DISP Laboratory, France

Real Options Between Three
Asymmetric Firms
Takashi Shibata1
1
Tokyo Metropolitan University, Japan

Modeling Fixed-Sequence
Multi-Stage News Agency for
Efficient Message Total System
Time

Abdullah Abdul Jabbar1, Nashat Fors1,
Seraj Abed2, Sherif Rabia1
1Alexandria University, Egypt
2King Abdul Aziz University, Saudi Arabia

Use of Shrinkage and Grouping
Approaches to Forecasting
Seasonal Demand
Kui Zhang1, Pengyi Gao2, Ziwu Long1
1
Wuhan Polytechnic University, China
2
Huazhong University of Science &Technology, China

DEA Sensitivity Analysis on
the Factors Responsible forIndustrial Energy
Consumption: Case Study on
the Canadian Industrial Sector

Oludolapo Olanrewaju1, Adisa Jimoh1,
Pulek Kholopane2
1
Tshwane University of Technology, South
Africa2
University of Johannesburg, South Africa

Arbitrage and Spread in FX
market: an Extended Glosten
and Milgrom Model
Ming Ma1, Yufei Zhang2
1
Beijing Institute of Technology, China
2
Renmin University of China, China

Om Prakash Yadav
Reza Tavakkoli-Moghaddam

Abstracts: see page 73

Optimal Pricing and Lot-sizing
for Fresh Produce and Foods
with Quality and PhysicalQuantity Deteriorating
Simultaneously
Yiyan Qin1
1
Guangxi University for Nationalities,
China

Online Dispatching of
Rail-Guided Vehicles in an
Automated Air Cargo Terminal
Wuhua Hu1, Jianfeng Mao1
1
Nanyang Technological University,
Singapore

Maximizing the Total Weight
Value of Just-In-Time Jobs in
Identical Parallel Machineswith Periodic Time Slots

Eishi Chiba1, Takao Kageyama1,
Yoshiyuki Karuno2, Hiroyuki Goto1
1
Hosei University, Japan
2
Kyoto Institute of Technology, JapanA New Lagrangian
Decomposition and
Coordination Approach forEnergy Portfolio and
Production Planning forMultiple Companies

Eiji Sekiya1, Tatsushi Nishi1, Masahiro
Inuiguchi1
1Osaka University, Japan

Maximum-Profit Rooted
Not-Necessarily-Spanning Tree
ProblemEishi Chiba1, Yusuke Abe1, Toshiki
Saitoh2, Takao Kageyama1, Hiroki
Koga1, Takashi Kobayashi1, Hiroyuki
Goto1
1
Hosei University, Japan
2
Kobe University, JapanAn Optimal Model for Adding
Relation to an Indirect
Subordinate in a Linking Pin
Organization Structure

Kiyoshi Sawada1
1
University of Marketing and Distribution
Sciences, JapanMTS Lead Time Uncertainty
Study in Periodic Review
MTS-MTO System

Feng Yu Wang1, Rajesh Piplani2, Laura
Xiao Xia Xu3, Amrik Singh Bhullar3
1Singapore Institute of Manufacturing
Technology, Nanyang Technological
University, Singapore
2
Nanyang Technological University,
Singapore
3
Singapore Institute of Manufacturing
Technology, Singapore

Kem Ramdass
Hon Keung Yau

Abstracts: see page 74

Research on Foundation andPractice of 123 Modes in
Professional Engineer
Education Training Plan

Wang Jinghua1, Zhou Jun1, Li Jing1,
Yang Zehui1, Zhang Xinguang1
1
Ningbo University of Technology, China

Improving Capacity forEngineering Systems Thinking(CEST) among Industrial
Engineering Students
Sigal Koral Kordova1, Moti Frank1
1
Holon Institute of Technology, Israel

Management Model to
Certification andRecertification Criteria toProfessional Engineers

Oscar Alejandro Vasquez Bernal1, Felix
Antonio Cortes Aldana2
1
UNAD, Colombia
2
National University of Colombia, Colombia

Analyzing International
Scientific Collaboration Pattern
for China by Using ESI
Database
Dan Xiang1, Huaxing LI1
1
Northwestern Polytechnical University,
China

Externalization Of Knowledge
In Indian Higher Education
Through Increase In Research
Publications
Kalyan Kumar Bhattacharjee1
1
Indian Institute of Technology, India

Towards Modeling
Manufacturing Flexibility
Information in Metalcasting
SMEs
Rhythm Wadhwa1
1
NTNU, Norway

Experience – An Essential
Component to Improve theConfidence in Using
Technology For Learning: An
Empirical Study in Hong Kong
Higher Education

Hon Keung Yau1, Alison Lai Fong
Cheng2
1City University of Hong Kong, Hong Kong
2
Hong Kong College of Technology, Hong
Kong

Applying Fuzzy MADM
Approach for the Selection ofTechnical Institution

Victor Gambhir1, N.C. Wadhwa1,
Sandeep Grover2, Sanjeev Goyal2
1
Manav Rachna International University,
India
2
YMCA University of Science &Technology, India

2525

Supply Chain Management (4)Supply Chain Management (5)Supply Chain Management (6)Wed, 12 Dec 11:00 - 12:30
Room: S223

Wed, 12 Dec 13:30 - 15:00
Room: S223

Wed, 12 Dec 15:30 - 17:30
Room: S223

Chairs:Chairs:Chairs:Tsan-Ming Choi
Amr Eltawil

Abstracts: see page 75

Fuzzy Power Stream Mapping
to Measure Dominating Powerin Supply Chain

Anirban Kundu1, Vipul Jain1
1
Indian Institute of Technology Delhi, India

Developing a Web-based
Collaborative Forecasting
Platform to Support Tourism
Supply Chain Management

Xinyan Zhang1, Haiyan Song1
1
The Hong Kong Polytechnic University,
Hong Kong

Vipul Jain
Charles Mbohwa

Abstracts: see page 76

A Group Genetic Algorithm for
the Fleet Size and Mix Vehicle
Routing Problem

Modeling theMacro-environmental
Influences: An International
Logistics View

Optimizing Replenishment
Policy for Deteriorating Item
Considering Inventory
Dependent Demand, Inspection
and Imperfect production

Fikri Dweri1, Sharfuddin Ahmed Khan1
1
University of Sharjah, United ArabEmirates

Determination of Size ofSupply Base under Uncertain
Cost Information

A Quantity-Flexibility Contract
in Two Periods with Supply
Chain Coordination

Information Security in Supply
Chains - A Process Framework

Xin Li1, Zhaotong Lian1, Wenhui Zhou2
1
University of Macau, China
2South China University of Technology,
China

Arup Roy1, A.D. Gupta1, S.G.
Deshmukh2
1
Indian Institute of Technology Delhi, India
2
ABV Indian Institute of Information
Technology & Management , India

Stochastic Demand Fulfillment
Model with Multiple Demand
Classes: Using Revenue
Management

A Modeling of Retailers Pricing
in Advance Selling Based on
Fairness and Reciprocity

Wen Yang1, Richard Y. K. Fung2
1
City University of Hong Kong, China
2City University of Hong Kong, Hong Kong

Virtual Depot Approximation
for the Transshipment Problem
Dmitry Krass1, Oleksandr Shlakhter1
1
University of Toronto, Canada

Abstracts: see page 77

Ranking of Automotive
Supplier Selection Criteria in
Pakistan: An AHP Approach

Supachart Iamratanakul1, Bordin
Rassameethes2, Vatcharapol Sukhotu3,
Sununta Siengthai3, Voratas
Kachitvichyanukul3, Ravi Shankar4
1
Kasetsart University,Asian Institute ofTechnology, Thailand
2
Kasetsart University, Thailand
3
Asian Institute of Technology, Thailand
4
Indian Institute of Technology, India

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

Mahdi Bashiri
Carman Ka Man Lee

Junfeng Li1, Shuping Yi1
1
Chongqing University, China

A MILP Model and Heuristic
Approach for Supply Chain
Network Design with
Minimum Volume Constraints
Mouna Kchaou Boujelben1, Celine
Gicquel2, Michel Minoux3
1
LGI Ecole Centrale Paris, France
2
Universite Paris 11, France
3
Universite Paris 6, France

Academic Supply Chain
Management for Tertiary
Educational Institutions

Bishwajit Banik Pathik1, Md. Mamun
Habib1
1
American International
University-Bangladesh (AIUB), Bangladesh

Michael Mutingi1, Charles Mbohwa2
1
University of Botswana, Botswana
2
University of Johannesburg, South Africa

Chun-Jen Chung1
1
Aletheia University, Taiwan

Integrated Supplier-Buyer
Inventory Model with Optimal
Reorder Point, Controllable Lead
Time, and Service Level
Constraint

Yosi Agustina Hidayat1, Suprayogi
Suprayogi1, Sifa Islam1, David Try Liputra2
1
Bandung Institute of Technology (ITB),
Indonesia
2
Maranatha Christian University, Indonesia

New Approaches for Analyzing
the Logistical Synchronization ofMaterial Provision in Production
Networks

Patrick Prussing1, Sven Baumgarten1,
Georg Ullmann11Institute of Integrated Production HannovergGmbH (IPH), Germany

An Optimization Based Decision
Support Model for Thai Rubber
Industry Supply Chain :Preliminary Results
Janya Chanchaichujit1, Mohammed
Quaddus1, Martin West1, Jose
Saavedra-Rosas1
1
Curtin University, Australia

Modeling an Industrial Strategy
for Inventory-Distribution
Coordination of Telecom
Operators in China: the‘Consignment Stock’ Case
Tianjian Yang1, Yujia Fan1, Xinzhe Wang1
1
Beijing University of Posts andTelecommunications, China

A Bi-objective Stochastic
Programming Model for a Green
Supply Chain with Deteriorating
Products

Zeinab Sazvar1, S.M.J. Mirzapour
Al-e-Hashem2, Armand Baboli 3, M.R.
Akbari Jokar4, Yacine Rekik5
1
Sharif University of Technology, Iran,
INSA-Lyon, DISP Laboratory, France2
Emlyon Business school, INSA-Lyon, DISPLaboratory, France
3
INSA-Lyon, DISP Laboratory, France
4
Sharif University of Technology, Iran
5
Emlyon Business School, France

An Order Splitting Policy for
Deteriorating Products with
Non-linear Holding Cost under
Stochastic Supply Lead Time

26

Zeinab Sazvar1, M.R. Akbari Jokar2,
Armand Baboli 3
1
Sharif University of Technology, Iran,
INSA-Lyon, DISP Laboratory, France
2
Sharif University of Technology, Iran3
INSA-Lyon, DISP Laboratory, France

26

Quality Control & Management (3)Information Processing andEngineering (1)Information Processing andEngineering (2)Wed, 12 Dec 11:00 - 12:30
Room: S224

Wed, 12 Dec 13:30 - 15:00
Room: S224

Wed, 12 Dec 15:30 - 17:30
Room: S224

Chairs:Chairs:Chairs:Chen-ju Lin
Samuel Bassetto

Abstracts: see page 78

Customer Value Creation
through Product Quality andCustomer Usage of Product
Functions: Managing theIndustry Shift towards
Smartphones

Bjoern Frank1, Boris Herbas Torrico1,
Takao Enkawa1
1
Tokyo Institute of Technology, JapanA Simple Method on Power
Calculation in Experiments for
Treatment Comparison

Huairui Guo1, Pengying Niu1, Ferenc
Szidarovszky1
1
ReliaSoft Corporation, United States

Empower the Future: A Cultureof Empowerment - The Link to
Organisational EffectivenessJurgens Frerk1, Charles Mbohwa1
1
University of Johannesburg, South Africa

Process Reliability Modeling
Based on Characteristic
Mapping

Wei Dai1, Fen Kuang1, Jin An1, Yu Zhao1
1
Beihang University, China

A Case Based Approach forModeling Process Elements andOverall Service Quality
Perception
Sheila Roy1, Indrajit Mukherjee1
1
IIT Bombay, India

An Integrated Architecture forLean Waste Analysis

Mohamed K. Omar1, Rohana Abdullah2,
Md Nizam Abd Rahman2
1
Nottingham University Business School,
Malaysia
2
Universiti Teknikal Malaysia Melaka,
Malaysia

Jose Machado
Hendry Raharjo

Abstracts: see page 79

Improvement of Retrieval in
Case-based Reasoning for
System Design

Thierry Coudert1, Elise Vareilles1,
Laurent Geneste2, Michel Aldanondo1
1
University of Toulouse, France
2
LGP/ENIT - Université de Toulouse,
FranceConstruction of Transport
Networks that Combine
Building Pathways and Roads
for Evacuation Routing and
Scheduling Problem
Mojahid Saeed Osman1, Bala Ram2
1
King Fahd University of Pertoleum andMinerals, Saudi Arabia
2
North Carolina A&T State University,
United States

A Case Study on Real-Time
Parcel Delivery Sequence
Optimization

Jaekyung Yang1, Wooyeon Yu2, Myoung
Jin Choi3
1
Chonbuk National University, South Korea
2Myongji University, South Korea
3
Howon University, South Korea

Comparing Complex Business
Process Models

Philip Weber1, Paul Taylor2, Basim
Majeed3, Behzad Bordbar1
1
University of Birmingham, United
Kingdom
2
BT Innovate & Design, United Kingdom
3
Khalifa University of Science, Technology
and Research, United Arab Emirates

Critical Business Objects and
Its Applications in Designing
Performance Management
Systems

Mohamad Aghdasi1, Ehsan Malihi1,
Yasaman Asadi1, Shohreh Ghadami1
1
Tarbiat Modares University, Iran

Lossless Image Compression
with Areas of Cross-Point
Regions for Modeling

Tin Thanh Dang1, Canh Xuan Huynh1
1
Hochiminh City University of Technology,
Viet Nam

Tin Thanh Dang
Thierry Coudert

Abstracts: see page 80

Usability of an Electronic
Health Record

Rui Pereira1, Julio Duarte1, MariaSalazar2, Manuel Santos1, Antonio
Abelha1, Jose Machado1
1
University of Minho, Portugal
2
Centro Hospitalar do Porto, Portugal

A Hybrid Evolutionary-based
Process Mining Technology to
Discover Parallelism Structures

Hsin-Jung Cheng1, Yeh-Chun Juan2, C.
Ou-Yang11
National Taiwan University of Science andTechnology, Taiwan
2
Ming Chi University of Technology,
TaiwanLogistics Process Modeling andExecution in the CloudJens Leveling1, Damian Daniluk1,
Arkadius Schier1
1
Fraunhofer Institute for Material Flow andLogistics IML, Germany

Application of Exploratory Data
Analysis in Healthcare: theCase of Warfarin Initiation
Phase in a Swedish Hospital
Hendry Raharjo1, Baris Tekin1, Jingren
Chang1
1
Chalmers University of Technology,
SwedenExploring How Add-On
Software Development Affects
Graphic Editors’ Learning
Results

Liang-Yuan Hsiung1, Mu-Hui Lai2,
Hwa-Ming Nieh3, Yuan-Du Hsiao4
1
Kun Shan University, Taiwan
2
Hwa Hsia Institute of Technology, Taiwan
3
Ming Hsin University of Science andTechnology, Taiwan
4
Chungyu Institute of Technology, Taiwan

Extendible Data Model forReal-time Business Process
AnalysisMarcello Leida1, Andrej Chu1, Maurizio
Colombo1, Basim Majeed1
1Khalifa University of Science, Technology
and Research, United Arab Emirates

Research on Real-time
Temperature Monitoring
System of Thermal Power

Jiang Guo1, Ming-shu Fan1, Kai-kai Gu1,
Xiao-Lu Xu1, Ke-fei Zhang1
1
Wuhan University, China

Developing Kernel
Intuitionistic Fuzzy C-Means
Clustering for E-Learning
Customer Analysis

Kuo-Ping Lin1, Ching-Lin Lin1,
Kuo-Chen Hung2, Yu-Ming Lu1,
Ping-Feng Pai3
1
Lunghwa University of Science andTechnology, Taiwan
2
National Defense University, Taiwan
3
National Chi Nan University, Taiwan

2727

Production Planning & Control (4)Systems Modeling and Simulation (1)Systems Modeling and Simulation (2)Wed, 12 Dec 11:00 - 12:30
Room: S225

Wed, 12 Dec 13:30 - 15:00
Room: S225

Wed, 12 Dec 15:30 - 17:30
Room: S225

Chairs:Chairs:Chairs:Rashed Sahraeian
Ali Siadat

Abstracts: see page 81

Economic Production Quantity
Model with Imperfect Quality
During a Process Adjustment
PeriodIsmail Al-Me'raj1, Shokri Z. Selim1,
Yahya Cinar1
1
King Fahd University of Petroleum andMinerals, Saudi Arabia

A Review of Key ResearchStreams for Managing
Uncertainties in Production
Planning and Control

Emrah Arica1, Jan Ola Strandhagen1,
Hans Henrik Hvolby2
1
Norwegian University of Science andTechnology, Norway
2
Aalborg University, Denmark

A Novel Process Planning
Approach for Hybrid
Manufacturing Consisting of
Additive, Subtractive andInspection Processes

Zicheng Zhu1, Vimal Dhokia1, Stephen
Newman1
1
University of Bath, United Kingdom

A Real Time Event Supervisor
System for Efficient Production
Control

Emrah Arica1, Sindre Grindheim1,
Olivier Roulet-Dubonnet1
1
Norwegian University of Science andTechnology, Norway

The Problem of
One-Dimensionally Cutting
Bars with Alternative Cutting
Lenghts in the Tubes Rolling
Process

Richard Lackes1, Markus Siepermann1,
Torsten Noll2
1
Technische Universitat Dortmund,
Germany2
V & M Deutschland Gmbh, Germany

Assembly Process Driven
Product Architecting

Harrys Daniilidis1, Udo Lindemann1
1Technische Universitat Munchen,
Germany

Szu Hui Ng
Pei-Fang Tsai

Abstracts: see page 82

Reggie Davidrajuh
Zhixiang Chen

Abstracts: see page 83

Estimating Machine Startup
Timing with Petri Nets
Reggie Davidrajuh
1
University of Stavanger, Norway
1

Simulating Staffing Needs forPatient Registration in a
Hospital

Sung Shim1, Arun Kumar2, Roger Jiao3
1
Seton Hall University, United States
2
RMIT UNIVERSITY, Australia
3
Georgia Institute of Technology, UnitedStatesSimulation Based MANOVA
Analysis of Pharmaceutical
Automation System in Central
Fill Pharmacy
Debiao Li1, San Wong Yoon1
1
State University of New York at
Binghamton, United States

Enriching the Generic
Simulation Modeling andExecuting Framework with theStatistical Software Package R
and the SQLite Database

Dae-Eun Lim1, Jangwon Cho2, Haejoong
Kim2, Hyun-Min Park3
1
Baek Seok University, South Korea
2
Samsung Electronics, South Korea
3
Pai Chai University, South Korea

Coil Baking Process Modelingwith Neural Network
Wimalin S. Laosiritaworn1
1
Chiang Mai University, Thailand

Integrated Optimization ofPricing, Production and
Delivery Decisions in a SVMB
System of Deteriorating Items
and PSO Algorithm

Zhixiang Chen1, Bhaba Sarker2,
Bingqing Wu2
1
Sun Yat-Sen University, China
2Louisiana State University, United States

System Reliability Modelingfor Multi-state Hierarchical
System with Multi-level
Information Aggregation

Mingyang Li1, Byoung Uk Kim2, Jian
Liu1
1
The University of Arizona, United States
2
Ridgetop Group, United States

A Case Study of Using
Simulation for Process
Improvement in a Hospital
Admission Center

Pei-Fang Tsai1, Jian-Ciang Chen1,
Jhih-Han Chen1, Fu-Man Lin2, Porntipa
Ongkunaruk3
1
National Taipei University of Technology,
Taiwan2
Mackay Memorial Hospital, Taiwan
3
Kasetsart University, Thailand

Applying the Informatinal
Approach to Global
Optimization to the
Homoscedastic Stochastic
Simulation

Jun Yuan1, Chengwei Han1, Szu Hui Ng1
1
National University of Singapore,
Singapore

SLA-Based Virtualized
Resource Allocation for
Multi-tier Web Application in
Cloud Simulation Environment
Haitao Yuan1, Jing Bi2, Bo Hu Li3,
Xudong Chai2, Ming Tie4
1
Beihang University, China
2
Beijing Simulation Center, China
3
Beihang University,Beijing Simulation
Center, China
4
Beijing Institute of Near space Vehicle’s
Systems Engineering, China

Simulation Study on the Effectof Diagnosis Related Group
Design in Length-of-Stay and
Case-Mix Index for Hospitals in
TaiwanJian-Ciang Chen1, Pei-Fang Tsai1,
Fu-Man Lin2
1
National Taipei University of Technology,
Taiwan2
Mackay Memorial Hospital, Taiwan

Synthetic Population - A Case
Study of Hong Kong
Population

Yam Hon Chan1, Kwok Leung Tsui1
1
City University of Hong Kong, Hong Kong

Consideration of Human
Reliability in Actor-Oriented
Simulation of New ProductDevelopment

Soenke Duckwitz1, Raymond Djaloeis1,
Malte Hinsch1, Joerg Feldhusen1,
Christopher M. Schlick1
1
RWTH Aachen University, Germany

Layout Redesign of a
Warehouse through Modelingand Simulation
Chin Soon Chong1, Feng Yu Wang2,
Laura Xiao Xia Xu1, Eng Hock Lua1
1
Singapore Institute of Manufacturing
Technology, Singapore
2Singapore Institute of Manufacturing
Technology, Nanyang Technological
University, Singapore

Picking Path Optimization ofAutomated Storage andRetrieval System
Xiaocui Miao1, Lindu Zhao1
1Southeast University, China

28

28

Service Innovation andManagement (1)Service Innovation andManagement (2)Service Innovation andManagement (3)Wed, 12 Dec 11:00 - 12:30
Room: S226

Wed, 12 Dec 13:30 - 15:00
Room: S226

Wed, 12 Dec 15:30 - 17:30
Room: S226

Chairs:Chairs:Chairs:James K. C. Chen
Ville Ojanen

Abstracts: see page 84

Abstracts: see page 85

Modeling Population
Dynamics on a SpatiallyDistributed Service Network:
Depicting the Influence ofSocio-economic Factors on
Service Delivery

Joymariel Melecio-Vinales1, Alexandra
Medina-Borja1, J Medin2
1
University of Puerto Rico at Mayaguez,
Puerto Rico
2
University of Puerto Rico at Bayamon,
Puerto Rico

Microfoundations of Dynamic
Capabilities: A Case Study in
Airline Catering Industry

Emre Eksi1, Ayberk Soyer1, Sezi Cevik
Onar1
1
Istanbul Technical University, Turkey

An Operational Definition ofPath Dependency

Cigdem Kadaifci1, Ayberk Soyer1, Sezi
Cevik Onar1
1
Istanbul Technical University, Turkey

Developing a Measurement
Model for Path Dependency
Burcu Akyildiz , Sezi Cevik Onar ,Ayberk Soyer11Istanbul Technical University, Turkey
1

Zhaotong Lian
Alexandra Medina-Borja

1

The Driving Forces of Customer
Involvement in Service
Innovation from the Customer
Jun Jin1, Junying Chen1
1
Zhejiang University, China

Characterizing Product-Service
Systems in the Healthcare
Industry - An Internal
Stakeholder Perspective

Man Hang Yip1, Robert Phaal1, David
Robert1
1
University of Cambridge, United Kingdom

Willem Selen
Songlin Chen

Abstracts: see page 86

Applying Quality Function
Development to Develop theHome Delivery Service Modelfor Specialty Foods in
Traditional Market

The Impact of Culture,
Leadership, Governance, andICT Systems on Service
Innovation in Service Value
Networks

Research on Service-oriented
Manufacturing Based onService Knowledge Integrated
Platform

The Relationships Between
Beach Vacationers’ Motivationand the Physical Settings ofBeaches

Mu-Chen Chen1, Chia-Lin Hsu2, Ying-Yi
Lee3
1
National Chiao Tung University, Taiwan
2Chinese Culture University, Taiwan
3
President Transnet Corp., Taiwan

Gao Na1, Zhao Songzheng1
1
Northwestern Polytechnical University,
China

The Application of Value
Innovation from Blue Ocean
Strategy in Cultural Creative
IndustyTain-Fung Wu1, Chih-Lan Kao1
1
Asia University, Taiwan

Pathway Identification via
Process Mining for Patientswith Multiple Conditions
Xiaojin Zhang1, Songlin Chen1
1
Nanyang Technological University,
Singapore

Service Recovery Matrix:
Matching Service Failures andRecovery Options
Victor John Cantor1, Richard Li1
1
De La Salle University - Manila,
Philippines

Utilizing QFD in Creation of a
New Industrial Service Concept

Ville Ojanen1, Tatiana Shunina2, Tuomo
Kassi11Lappeenranta University of Technology,
Finland2
Siemens, Russian Federation

Exploring Innovation Model for
Business Technology Incubatorin Developing Countries

James K. C. Chen1, Chu-Shiu Li1, Amrita
Batchuluun1
1
Asia University, Taiwan

Renu Agarwal1, Willem Selen2
1
University of Technology Sydney,
Australia
2
United Arab Emirates University, United
Arab Emirates

Huey-Hsi Lo1
1Aletheia University, Taiwan

Equilibrium Strategic Behavior
and Optimal Pricing with
Experience Service

Zhaotong Lian1, Jinbiao Wu2, Lihua
Cao3
1
University of Macau, China
2Central South University, China
3
Shenzhen University, China

Exploring CRM
Implementation - The
Conceptual Model of the
Impact of CRM on Service
Operations

Pimjai Tongmee1, Prattana
Punnakitikashem1
1
Mahidol University, Thailand

An Exploratory Study on
Preferred Open Innovation
Types and Partners in South
African SMEs

Willie Krause1, Corne Schutte1, Niek Du
Preez1
1
University of Stellenbosch, South Africa

External Marketing andInternal Marketing: Which
Capability Holds the Key to an
Outstanding Performance?
Wen-Jung Chang1, Christina Tay2
1Delin Institute of Technology, Taiwan
2Chinese Culture University, Taiwan

2929

Technology and Knowledge
Management (4)Technology and Knowledge
Management (5)Facilities Planning andManagement

Wed, 12 Dec 11:00 - 12:30
Room: S227

Wed, 12 Dec 13:30 - 15:00
Room: S227

Wed, 12 Dec 15:30 - 17:30
Room: S227

Chairs:Chairs:Chairs:Fu-Man Hsieh
Md. Mamun Habib

Abstracts: see page 87

Do Individual Emotion andCorporative Environment
Influence Technology Transfer
in Taiwan Technology
Industry?

Meng-Shan Tsai1, Meng-Chen Tsai2,
Chi-Cheng Chang2
1
National Kaohsiung Normal University,
Taiwan2
National Taiwan Normal University,
TaiwanResearch on Knowledge
Innovation Oriented
Post-evaluation Method of
Basic Research Project

Lin Gong1, Zixu Chen1, Guoxin Wang1,
Jiping Lu1
1
Beijing Institute of Technology, China

Analyzing the Building andUsing Situations of E-learning
Platform: From Total Quality
Management and Knowledge
Management Perspectives

Meng-Shan Tsai1, Meng-Chen Tsai2,
Chi-Cheng Chang2
1
National Kaohsiung Normal University,
Taiwan2
National Taiwan Normal University,
TaiwanThe Financial Impact of Using
RFID in Healthcare
Ibrahim Al Kattan1, Taha Anjamrooz1
1
American University of Sharjah, United
Arab Emirates

Technology Evaluation: Fitting
Tools and Techniques to theStages of the Evaluation Process
Fernando Romero1, Fernando Barbosa1
1
University of Minho, Portugal

Knowledge Management
Maturity Assessment in
Research Institutions Using
Analytic Hierarchy Process andFuzzy Comprehensive
Evaluation Method
Jingwen Li1, Yaoguang Hu1, Jialin Han1
1
Beijing Institute of Technology, China

Quality Dimensions Relevant
to a First Tier Automotive
Supplier: Case Study at an
Automotive Seat CoverSupplier

Kem Ramdass1
1
University of Johannesburg, South Africa

30

Sha'ri Mohd Yusof
Antonio Verdu

Abstracts: see page 88

Abstracts: see page 89

Government as the Decision
Maker in Infrastructure
Projects: What Diffusion
Models Tell Us

Process Management within a
Multi-project Large-scale Plant
Engineering Environment

Ann Klobucher1, Dan Edgar1, Jessica
Hildahl1, Melissa Elfering1, Harm-Jan
Steenhuis1
1
Eastern Washington University, UnitedStatesKnowledge Engineering inInterdisciplinary Research
Clusters

Claudia Jooss1, Rena Vossen1, Ingo
Leisten1, Anja Richert1, Sabina Jeschke1
1
RWTH Aachen University, Germany

The Complementary of TQM
on Technology Management
Strategy: A Multinational
Perspective from the ASEAN
Automotive Industry

Pei-Lee Teh1, Tritos Laosirihongthong2,
Dotun Adebanjo3
1
Monash University, Malaysia
2
Thammasat University, Thailand
3
University of Liverpool, United Kingdom

Does Science and Technology
Correlation with Academic
Ability? a New Science andTechnology Linkage Evaluation
Ranking System Introduce
Yi-Ching Liaw1, Chin-Yuan Fan2, Te-Yi
Chan2, K. L. Chi2
1
Ming Chi University of Technology,
Taiwan2
National Applied Research Laboratories,
TaiwanCritical Knowledge Sharing
Barriers: An Interpretive
Structural Modeling Approach
Bhupendra Prakash Sharma1, M. D.
Singh11
Motilal Nehru National Institute ofTechnology, India

Chui Young Yoon , Seung Yong Kim
1
Korea National University ofTransportation, South Korea

Egon Mueller1, Ralph Riedel1, Martin
Domagk1, Christian Barnstedt2, Florian
Meurs2
1
Chemnitz University of Technology,
Germany2
MAN Diesel & Turbo SE, Germany

A New Multi-objective
Mathematical Model for Relief
Logistic Network under
Uncertainty
Mohammad Rezaei-Malek1, Reza
Tavakkoli-Moghaddam1
1
University of Tehran, Iran

Bibliometric Analysis of Power
Grid Research: Identifying
Knowledge Domain
Ichiro Sakata1, Hisato Tashiro1
1
The University of Tokyo, Japan

Exploring the Antecedent andSubsequence Factors forKnowledge Management
Meng-Chen Tsai1, Chi-Cheng Chang1
1
National Taiwan Normal University,
TaiwanA Location - Routing Problem
with Emergency Referral
Solved by Using a Genetic
Algorithm

Phongchai Jittamai1, Jarupong Banthao1
1
Suranaree University of Technology,
ThailandA Single Phase Optimization of
Stochastic Location Allocation
Problem in a Two Echelon
Supply Chain
Mahdi Bashiri1, Mehdi Jafarian2
1
Shahed University, Iran
2
University of Shahed, Iran

A Comprehensive Instrument
to Efficiently Measure Firm IT
Capability in an IT
Environment
1

Armand Baboli

1Factory Layout Benchmark with
Extended Failure Mode andEffect Analysis
Uwe Dombrowski1, Christoph Riechel1
1
Technische Universitat Braunschweig,
Germany

Major Accident Prevention in
the Planning Process of
Offshore Operation and
Maintenance Activities - Initial
Study
Sizarta Sarshar1
1
Norwegian University of Science andTechnology/ Institute for Energy
Technology, Norway

30

Reliability and MaintenanceEngineering (3)E-Business and E-Commerce

Project Management (2)Wed, 12 Dec 11:00 - 12:30
Room: S228

Wed, 12 Dec 13:30 - 15:00
Room: S228

Wed, 12 Dec 15:30 - 17:30
Room: S228

Chairs:Chairs:Chairs:Ping Jiang
Bermawi Iskandar

Abstracts: see page 90

Risk Metrics: Interpretation and
ChoiceInger Lise Johansen1, Marvin Rausand1
1
Norwegian University of Science andTechnology, Norway

How to Develop the Grouping
Strategy for Offshore Wind
Turbines at the Wind Farm
Level
Zafar Hameed1, Jorn Vatn1
1
Norwegian University of Science andTechnology, Norway

Reliability and Spare Parts
Estimation Taking into
Consideration the Operational
Environment - A Case Study

Abbas Barabadi1, Behzad Ghodrati2,
Javad barabady1, Tore Markeset3
1
University of Tromso, Norway
2
Lulea University of Technology, Sweden
3
University of Stavanger, Norway

Using Piecewise Exponential
Model to Schedule Preventive
Maintenance Interval in
Manufacturing Systems

Liangpeng Chen1, Boray Huang1, Loon
Ching Tang1, Min Xie2
1
National University of Singapore,
Singapore2
City University of Hong Kong, Hong Kong

Simulation on Optimum
Operation of Ship Main Engine
Support System by Using
System Dynamics
Dhimas Handani1, Makoto Uchida1
1
Kobe University, Japan

Reliability Optimization of aSeries System with
Multiple-choice and Budget
Constraints Using a Genetic
Algorithm
Alireza Zarei1, Ahmadreza Zarei2
1
Hormozgan University, Iran
2
University of Applied Science andTechnology, Iran

Optimal Replacement
Threshold and Inspection
Interval for Condition-Based
Maintenance with Variable
Failure Cost

Hamid Reza Golmakani1, Morteza
Pouresmaeeli1
1
Tafresh University, IranYi-Hui Liang
Bouchaib Bahli

Abstracts: see page 91

Cultural Adaptations ofMacau’s Casino Hotel Web
Sites
Chang Boon Lee1, Stella Leong11
University of Macau, China

A Study of Impulse Buying in
Virtual Communities
Guohong Wei1, Chun Hu1
1
Beijing University of Posts andTelecommunications, China

Generic Modeling Propositions
for Configuring, Sale, Productand Production
Linda Zhang1, Elise Vareilles2, Michel
Aldanondo3, Petri Helo4
1
IESEG School of Management, France
2
University of Toulouse, France
3
Toulouse University, France
4
University of Vaasa, Finland

Evaluations of A Core Broking
Model from the Viewpoint of
Online Group Trading
Pen-Choug Sun1, Michael Odetayo2,
Rahat Iqbal2, Anne James2
1
Aletheia University, Taiwan
2
Coventry University, United Kingdom

The Effect of Online
Group-buying on Off-line
Buying Decisions

Junfeng Liao1, Xichen Dong1, Xunqi Liu1
1
South China University of Technology,
China

Study on the Loss of Social
Welfare Caused by Search in
the Market Based on the
Asymmetric Information

Qiong Wang1, Shixiang Huang1
1
University of Anhui Agricultural, China

Norbert Trautmann
Marie-Louise Barry

Abstracts: see page 92

Entering the Nuclear Power
Plant Supply Chain: the France
Case Study

Giorgio Locatelli1, Mauro Mancini2,
Gianluca Cocco2, Valentino Ruzzon2
1
University of Lincoln, United Kingdom
2
Politecnico di Milano, Italy

Bidding Decision Making inConstruction Industry: An
Analysis Based on Procedural
Rationality

Zhuo Feng1, Shuibo Zhang1, Ying Gao1,
Fei Kang1
1
Tianjin University, China

Strategic Resource Planning
Based on Staffing Profiles

Eduardo Miranda11Carnegie Mellon University, United States

Theory of the Triple Constraint- a Conceptual Review

C. Jurie Van Wyngaard1, Jan-Harm
Pretorius2, Leon Pretorius3
1
Graduate Universities of Johannesburg andPretoria, Employee Saab Electronic Defence
Systems, South Africa
2
University of Johannesburg, South Africa
3
University of Pretoria, South Africa

Accounting for Risk
Interactions and Using
Importance Measures for Risk
Prioritization in ProjectManagement

Chao Fang1, Xun Xiao1, Xiaoyan Zhu2
1
City University of Hong Kong, Hong Kong
2
University of Tennessee, United States

Perceptual Differences Between
Project Managers and Sponsors
in the Intiation Phase of a
Project
Stephen Onu1
1
University of Maryland, United States

Risk Management forConstruction Projects with
Colored Petri Nets: an
Agent-Based Modeling
Framework

Yangbing Zhang1, Yongqiang Chen1,
Xingyu Zhu1
1
Tianjin University, China

On Deployment of Empowered
Team Concept into Matrix
Organization
Hanwei Xu1, Bin Lin1, Minmin Shen1
1
Siemens Ltd. China, China

Robust Optimization of Project
Portfolio Selection and
Scheduling Problem with
Stochastic Returns
Ying Li1, Yongyi Shou1
1
Zhejiang University, China

3131

Global Manufacturing andManagement (1)Global Manufacturing andManagement (2)Safety, Security and Risk
Management (2)Wed, 12 Dec 11:00 - 12:30
Room: S229

Wed, 12 Dec 13:30 - 15:00
Room: S229

Wed, 12 Dec 15:30 - 17:30
Room: S229

Chairs:Chairs:Chairs:Chih Wang
Supachart Iamratanakul

Abstracts: see page 93

Abstracts: see page 94

Strategy for Virtual Factory
Information System Design

Yuqiuge Hao1, Ahm Shamsuzzoha1,
Petri Helo1
1
University of Vaasa, Finland

Virtual EnterpriseManagement: Perspective ofProcess-Based Business
CollaborationAHM Shamsuzzoha1, Filipe Ferreira2,
Jose Faria2, Americo Azevedo3, Yuqiuge
Hao1, Petri Helo1
1
University of Vaasa, Finland
2
INESC TEC, Portugal
3
INESC TEC, Faculdade de Engenharia da
Universidade do Porto, Portugal

The Relationship among
Country of Origin Effects,
Brand Image and Purchase
Intentions in Taiwanese
Apparel Market

Chu Erh Hsiung , Cheng-Ter Ho
1National Kaohsiung University of Applied
Sciences, Taiwan
1

AHM Shamsuzzoha
R. Kant

1

Scientific Catch-up Process inAsian Countries: A Case Studyof Solar Cell

Ichiro Sakata1, Hajime Sasaki1, Hisato
Tashiro1, Aya Ishihara1, Keiko
Kayukawa1
1
The University of Tokyo, Japan

Technology Gap, Market
Experience and MNCs’
Technology Licensing
Strategies: Evidence from China
Lei Xiong1, Xiaobo Wu1, Rui Guo1,
Ruishe Zeng1
1
Zhejiang University, China

Using System Thinking toInvestigate Co-Opetition
Analysis for Manufacturers in
the Cloud Industry

Chin-Yuan Fan1, Sheau-Pyng Ju1,
Ming-Fong Lai1
1
National Applied Research Laboratories,
TaiwanGlobal Product Development:
the Experience in a Brazilian
Manufacturing and Assembler
Automotive Subsidiary

Andre Segismundo1, Paulo A. CauchickMiguel2
1
University of Sao Paulo, Brazil
2
Federal University of Santa Catarina,
BrazilThe Impact of Guanxi on
Internationalization Entry
Mode for Chinese Enterprises:
A Multiple-Case Study
Rongjun DU1, Xiaobo Wu1, Xubo Bai1
1
Zhejiang University, China

Latest Developments Aiming
an Integrated Management
System Tool Focusing Maturity
Assessment

Jose Pedro Teixeira Domingues1, PauloSampaio1, Pedro Arezes1
1
University of Minho, Portugal

Facilitating Customer
Involvement Into theDecision-making Process ofConcept Generation andConcept Evaluation for New
Product Development

Chih-Hsuan Wang1
1
National Chiao Tung University, Taiwan

Information
Interpretation-oriented
Integration Interface for
Manufacturing Enterprises
Changyu Chen1, Gang Zhao1
1
Beihang University, China

Bouchaib Bahli
Sung Shim

Abstracts: see page 95

Value Drivers in Supply Chain
Security

Lea Hannola1, Ville Ojanen1, Sirra
Toivonen2, Tuomo Kassi11Lappeenranta University of Technology,
Finland2
VTT Technical Research Center of Finland,
FinlandDevelopment of a BarrierManagement System forContinuous Monitoring and
Maintenance of Safety Barriers

R.M. Chandima Ratnayake1, Sukvir
Panesar Singh2, Jawad Raza2
1
University of Stavanger, Norway
2
Apply Sorco, Norway

How Can We Improve
Healthcare Management for
Patient Safety by Analyzing
Large-Scale Incident Reports ?
Masanori Akiyama1, K Fujita1
1
The University of Tokyo, Japan

Prediction of Soleplate
Corrosion in Petroleum Storage
Tank Based on Grey ModelGM(1,1)

Xiao-gang Zhao1, Yi Zhou1, Fei Cheng1,
Jian-cheng Zhu2, Jie Zheng2, De-peng
Gao 3
1
Logistical Engineering University, China
2
Beijing Military Region, China
3
Jinan Military Region, China

Modeling and Reliability
Assessment of a 3-channel
Safety-instrumented System

Yiliu Liu1, Marvin Rausand1, Hui Jin1
1
Norwegian University of Science andTechnology, Norway

Dynamic Measurement and
Evaluation on Foreign
Exchange Risks of International
Construction Projects
Xiuqin Wang1, Bin Gao1
1
Tianjin University, China

Resilience Measurement for A
Class of Supply Chain
Disruption
Shu Yi1, Xinping Wang1, Lindu Zhao1,
Micheal Herty21Southeast University, China
2
RWTH Aachen University, Germany

Estimating the Remaining
Useful Life of Li-ion Batteries
with a Bayesian Updating
Model

Yizhen Hai1, Jie Tang1, Kwok Leung
Tsui1
1
City University of Hong Kong, Hong Kong

32

32

Poster Session 2

p.97

Reliable Joint Inventory
Location Problem with
Penalty Cost and Capacitated
Facilities

p.97

Elham Taghizadeh1, Mostafa
Abedzadeh1, Mostafa Setak1
1
K.N.Toosi University of Technology,
Iran

p.96

Impact of Customer
Response to Retailer
Stock-out on Supply Chain
Performance

Xiaoling Zhang1, Qiang Lu1, Teresa
Wu2
1
Harbin Institute of Technology
Shenzhen Graduate School, China
2
Arizona State University, United States

p.96

Pricing and service levelstrategies based on customers

A Simulation BasedExperimental Investigation of
Demand and Supply
Uncertainty

p.97

Forecasting Product Returns
Using Causal Analysis andMultiple Linear Regression

p.97

Evaluating Retailer
Consumer Return Policy
under VMI Partnership

p.97

p.97

p.96

An Integrated Method of
Hierarchical Planning and"Pull-way" Production
Control for Lean
Shipbuilding

p.97

p.98

Optimal Control of a SOM
System with Demands for
Product and PSS

Kangzhou Wang1, Zhibin Jiang1,
Tongyi Wang1, Guowei Li1
1
Shanghai Jiao Tong University, China

p.98

p.99

Arbaiy Nureize , Junzo Watada
1
University Tun Hussein Onn
Malaysia, Malaysia
2
Waseda University, Japan

2

RCPSP with Partially
Renewable Resources andResource Consumption
during Setup Operations

Hironori Okubo1, Toshiyuki
Miyamoto1, Kazuyuki Mori2,
Shoichi Kitamura2, Yoshio Izui2
1
Osaka University, Japan2
Mitsubishi Electric Corporation, Japan

p.99

Design and Actualization of
IoT-based Intelligent
Logistics System

Zhiqiang Xu1, Jialiang He2, Zhiyong
Chen3
1
Nanyang Technological University,
Singapore2
Northeast Petroleum University,
China
3
Chengdu Wisdom Technology Co.Ltd,
China

Performance and Efficiency
Measurement for CanadianBank Branches

1

Experimental Investigationof the Influence of the
Different Loading
Conditions on the New Type
Precision Bar Blanking
SystemBin Zhong1, Shengdun Zhao1,
Renfeng Zhao1, Fan Xu1
1
Xi'an Jiaotong University, China

A New Intuitionistic Fuzzy
Cosine Similarity Measuresand Its Application

Fuzzy Random Possibilistic
Programming Model for
Multi-objective Problem

The Experiment andNumerical Simulation for
Hydro-mechanical Deep
Drawing Process

Fan Xu1, Shengdun Zhao1, Jun Lin2
1
Xi'an Jiaotong University, China
2
NO.59 Institute Of China OrdnanceIndustry, China

Zijiang Yang1, Yuanyuan Luo1,
Younes Benslimane11York University, Canada

p.98

Application of Undesirable
Input-Output Two-Phase
DEA Model inEnvironmental Performance
Audit
Rongbing Huang1
1
Nanjing Audit University, China

1

Kuo-Chen Hung1, Kuo-Ping Lin2
1
National Defense University, Taiwan
2Lunghwa University of Science andTechnology, Taiwan

p.98

p.98

p.98

Tay Jin Chua , Tian Xiang Cai , Feng
Yu Wang2
1
Singapore Institute of Manufacturing
Technology, Singapore
2Singapore Institute of Manufacturing
Technology, Nanyang Technological
University, Singapore

The Impacts of Product
Delay Cost on Rush Order
Decision for Job Shop
Production Systems

Min Wang1, Cheng-Yu Huang2,
Chun-Yuan Cheng11
Chaoyang University of Technology,
Taiwan2
WIN Semiconductors Corporation,
TaiwanPractical Order Release
Planning Linking Enterpriseand Shop Floor Tracking
Systems for High-Mix
Low-Volume (HMLV)Manufacturing
1

Mingdi Zong1, Houfang Sun1
1
Beijing Institute of Technology, China

p.97

p.98

Problem Transformation
Approach to Solve theSingle-machine Scheduling
Problem with Availability
Constraints
Kenta Takii1, Shunji Tanaka1
1
Kyoto University, Japan

Decision Aided Tool for
Recycled Spare Parts
Management Under
Uncertainties

Nouha Ghorbel1, Sid-Ali Addouche2,
Abderrahman ElMhamedi2, Younes
Boujelbene3
1
University of Paris 8, France,
University of Sfax, Tunisia
2
University of Paris 8, France
3
University of Sfax, Tunisia

An Adaptive Approach to
Failure Modes and Effects
Analysis for
Computer-aided Inspection
Planning

A Game Theoretic Model for
Analysis of Material Reuse
Modularity

Yangjian Ji1, Roger Jiao2, Liang
Chen1, Chunlong Wu1, Hao Li3
1
Zhejiang University, China
2
Georgia Institute of Technology,
United States3
Zhejiang University, Zhengzhou
University of Light Industry, China

Orders Tracking and
Production Visualization
Oriented Lean Production

Shirin Mirdamadi1, Ali Siadat1,
Jean-Yves Dantan1, Lionel
Roucoules1
1
Arts et Metiers ParisTech, France

Shahrokh Hematyar1, S. Kamal
Chaharsooghi2
1
P.N. University, Iran
2
Tarbiat Modares University, Iran

p.96

p.98

Jialin Han1, Yaoguang Hu1, Jingwen
Li1, Qiqi Yin1
1
Beijing Institute of Technology, China

Shantanu Chakraborty1, Rajesh
Kumar1, Prasanna Akella1, Satyendra
Singh1
1
Hewlett Packard, India

p.96

A Novel Formulation for
Unit Commitment WithWind Power Considering
Production Cost of Every
Generator

Guowei Hu1, Zhaohong Bie1, Bowen
Hua1
1
Xi'an Jiaotong University, China

Carman Ka Man Lee1, Rohan Pasari2
1
The Hong Kong Polytechnic University,
Hong Kong
2
Nanyang Technological Unviersity,
Singapore

p.96

Analysis of the Life Cycle
Trend of the Export Market
of Taiwanese Bicycle
Industry

Effect of Market Orientation
on Performance: An
Empirical Study

Hung-Tso Lin1, Yin-Chi Huang2,
Chia-Hua Lee1
1
National Chin-Yi University ofTechnology, Taiwan
2Feng-Chia University, Taiwan

Leichuan Lin1, Shan-Yau Wu1
1
National Kaohsiung University ofApplied Sciences, Taiwan

Junxiu JIA1, Z. Yuan1
1
Xidian University, China

p.96

p.98

Hao-yun Yan1, Bin Wu1, Hong-yu
Li2
1
Shanghai Dian Ji University, China
2
Fudan University, China

Wed, 12 Dec
Level 2 Foyer
p.96

A Due Date Assignment
Method based on LOMC

p.99

Keshtel Algorithm (KA); A
New Optimization
Algorithm Inspired by
Keshtels’ Feeding

Mostafa Hajiaghaei-Keshteli1, Majid
Aminnayeri1
1
Amirkabir University of Technology,
Iran

3333

p.99

Robust Remaining UsefulLife Prediction for Li-ion
Batteries with a Naive
Bayesian Classifier

p.100

Selina Ng1, Kwok Leung Tsui1
1
City University of Hong Kong, Hong
Kong

p.99

An Integrated Study in
Determining the Optimal
Policy for Warranty, Pricing
and Production of
Repairable Products under
FRW

Servicing Strategy andPreventive Maintenance for
Products Sold with
One-Dimensional
Warranties

p.100

An Acceleration Method for
the Permutation Flow Shop
Problem Minimizing Total
Flow Time

Xingye Dong1, Ping Chen2,
Houkuan Huang3, Maciek Nowak4
1
Beijing Jiaotong University, China,
Loyola University, United States
2
NanKai University, China
3
Beijing Jiaotong University, China
4
Loyola University, United States

p.99

Quay Crane Sequencing
Considering Productivity,
Interference and Yard
Congestion Constraints

Effrosyni Theodorou , Ali Diabat ,Davor Svetinovic1
1
Masdar Institute of Science andTechnology, United Arab Emirates
1

p.100

p.100

p.100

p.100

Ahmed Simrin1, Shaikha Al Zaabi1,
Ali Diabat1
1
Masdar Institute of Science andTechnology, United Arab Emirates

p.100

p.100

Optimal Duration andControl of Promotional
Campaign for Durable
Technology Product

Sugandha Aggarwal1, Anshu
Gupta1, Yogender Singh1, P.C. Jha1
1
University of Delhi, India

34

Aircraft Trip DOC
Parameters: A Function ofStage Length, Seat Capacity
and Design Range

p.101

p.101

p.101

A Bibliometric Description
and Content Analysis of
Mega-project Characteristics

Xiaofeng Peng1, Wen Che1, Yongyi
Shou1
1
Zhejiang University, China

The Exploration ofTransform Leadership andOrganizational Performance--- Two Mediators’ Model
Chi-Chuan Wu1, Fang Chia Hsieh1,
Chien-Wei Ho1
1
Tatung University, Taiwan

p.101

Corporate Citizenship
Taking on Social Welfare:
Concept Area andCompetitive Advantage
Xueying Tian1
1
Suzhou University of Science andTechnology, China

p.101

The Establishment of Modelfor Measuring Interpretation
Satisfaction: The Role ofService Quality andPerceived Interpretation
Value
Li-Hui Chang1, Cheng-Shih Lin1,
Tsen-I Kuo1
1
National Quemoy University, Taiwan

p.101

Socially Responsible Service
Operations Management Trends and Challenges
Hosang Jung1, Seungbae Sim2
1
Sangmyung University, South Korea
2
Yonsei University, South Korea

p.102

A Rapid Optical System for
Surface Roughness
Measurement of Hard Films
Chil-Chyuan Kuo1, Y.T Siao1
1
Ming Chi University of Technology,
Taiwanp.102

Simulation Study on
Quality Risk of Quality
Organizational Structure
Based on Agent-based
Model

Chunhui Yang1, Tao Hu1, Zhaohui
Luo1, Lei Yang1
1
Naval University of Engineering,
China

Stock Characteristics andTransaction Cost in Japanese
Stock Market
Junji Mawaribuchi1, Koichi
Miyazaki2
1
Mitsubishi UFJ Trust Investment
Technology Institute Co., Ltd., Japan
2
The University ofElectro-Communications, Japan

Study and Application on
Aided Innovation Design
Method Based on Semantic
Analysis and TRIZ theory

Zixu Chen1, Lin Gong1, Yan Song1,
Guoxin Wang1
1
Beijing Institute of Technology, China

Yu Wang1, Hong Sun1, Peiwen
Zhang11
Civil Aviation Flight University of
China, China

Kanika Gandhi1, P.C. Jha1, YogenderSingh1
1
University of Delhi, India

p.100

Evaluation of Project’s
Alternatives Based on a
Multi Criteria Decision
Approach

Mohammadhosein Mokhtarani1,
Hamed Shakouri G1, H Soleimani1
1
University of Tehran, Iran

p.100

p.101

Evaluation of C4ISR System
Effectiveness based on
Markov Logic Networks

Ruotong Liao1, Yanjun Liu1, Zhong
Liu1, Qian Meng1, Xunhui Luo1
1
National University of Defense
Technology, China

A Multi-Objective Model in
the Green Supply Chain
Network Design

Development of an EOQModel for Single Source &Destination, Deteriorating
Products Incorporating Price& Freight Discount underFuzzy Environment

A Revised Model for theStatic Berth Allocation
Problem with Berth
Restrictions on Vessel
Assignment

Empirical Study on the
Relationships Between
Leadership and Technology
Entrepreneurial
Performance

Cuixia Wang1, Jianmei Miao2,
Weiwei Ye1, Xu Yi1
1
Zhejiang University, China
2
Hangzhou Normal University, China

Multi-stage
Parallel-machine Job Shop
Scheduling with DueWindows
Rong-Hwa Huang1, Chang-Lin
Yang1
1
Fu Jen Catholic University, Taiwan

1

Farzad Niakan1, Armand Baboli 2,
Reza Tavakkoli-Moghaddam3,
Valerie Botta-Genoulaz2, Jean-Pierre
Campagne2
1
University of Tehran, Iran,
INSA-Lyon, DISP Laboratory, France
2
INSA-Lyon, DISP Laboratory, France
3
University of Tehran, Iran

Optimization of the Billet
Cutting Operation in the
Aluminum Industry: a Case
Study

Nadjib Brahimi1, Abrar Khalaf2,
Hebah Al-Hammadi3
1
University of Sharjah, United ArabEmirates2
Dubai aluminium, United ArabEmirates
3
Dubai Cable Company (DUCAB),
United Arab Emirates

Mustofa Makmoen1, Andi
Cakravastia1, Bermawi Iskandar1,
Dradjad Irianto1
1
Bandung Institute of Technology,
Indonesia

p.99

p.101

Yi-Min Fu1, Ali Diabat1, I-Tsung
Tsai1
1
Masdar Institute of Science andTechnology, United Arab Emirates

Chun-Wu Yeh1, Tean-Quay Lee2,
Chih-Chiang Fang2
1
Kun Shan University, Taiwan
2
Shu-Te University, Taiwan

p.99

An Integrated Model for
Quay Crane Assignment andQuay Crane Scheduling
Problems

p.102

Quality Monitor in
Multi-operation Machining
Processes based on Wavelet
Filtering
Bing Chen1, Pei Wang1, Dinghua
Zhang1, Kai Liu1
1
Northwestern Polytechnical
University, China

p.102

The Joint Impact of Process
Ownership and Continuous
Process Improvement on
Financial Performance andCustomer Satisfaction

Doris Weitlaner1, Markus
Kohlbacher1, Andreas Kamagaew2
1
CAMPUS 02 University of Applied
Sciences, Austria
2
Fraunhofer Institute for Material Flowand Logistics, Germany

34

ABSTRACTS

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (1)Tue, 11 Dec
11:00 - 12:30
S221
Kuo-Ping Lin, Wasawat Nakkiew

Performance Management in the Elementary andSecondary Schools’ Information Unit in Taiwan: Using theBalanced Scorecard and the Fuzzy Analytic Hierarchy
Process
Yi-Hui Liang1
1
I-SHOU University, Taiwan

The purpose of this study is to establish balanced scorecard in
performance measurement of Elementary and Secondary Schools’
Information Unit. Balanced scorecard used as a measurement tool toassess the study subject can be divided into four perspectives: finance,
customer, inter process, learning and growth. In order to extract theknowledge and experience from related experts to pick out
important evaluation criteria and opinion, this study combines fuzzy
theory and the analytical hierarchy process to calculate the weights.
After completing the weight calculation of every dimension andindicator, balanced scorecard model of this study is thus established.
This model can be utilized by the information units of elementaryand secondary schools for constructing the strategies and blueprints
for self evaluation. This study also provides important informationfor effective resource management in information education ofelementary and secondary schools.

An Analysis Framework for Urban Construction
Decision-making Based on Symbiosis

Chunying Huang1, Xiaoming Wang2
1
Huazhong University of Science and Technology, China Three Gorges University,
China2
Huazhong University of Science and Technology, China

The paper studies decision analysis for urban construction from theperspective of harmonious symbiosis between urban construction
and its environment. The purpose is to promote the harmony andsustainability of urban construction and development. A symbiotic
city model is proposed, regarding the whole of urban construction
projects and the environment as a living symbiont, and showing
symbiotic relations between urban construction and the environment.
Through introducing the symbiotic city model into the field of urban
construction, an analysis framework for urban construction
decision-making is established, which conduces to harmonious
symbiosis between urban construction and the environment. Casestudy demonstrates how this analysis framework works. Some
recommendations are given to solve the problems of urban
construction decision-making according to the analysis of the cases.

that influence audience’s choice most. A practical and reliable
method for analyzing such criteria with respect to their relevance tochoice of TV series is still missing in the literature. To address thisissue, in this study, an Analytic Hierarchy Process model based on
judgments of the audience is proposed to support TV channel
managers’ decision on TV series to be broadcast. The results of thestudy suggests that the criteria “Script” (and its sub-criteria
Originality) and “Cast” (and its sub-criteria Performance of Actors)
have the highest impact on the choice of TV series the audience will
watch.

A Matching Procedure for Goal-oriented Productivity
Improvements
Thomas Czumanski1, Jonina Jonsson2, Hermann Lodding1
1
Hamburg University of Technology, Germany
2
Beiersdorf AG, Germany

Improving the productivity of production processes remains a major
goal of industrial companies to achieve low costs and high resource
utilization. For this purpose, productivity management approaches
including the concept of lean production provide a number ofmethods and tools. Furthermore, companies adopt procedures andtoolsets and tailor them to their production systems and specificneeds. Setting up the right activities by using the right methods istherefore crucial to establish a goal-oriented and efficient
improvement process. This article presents a straightforward
approach to link identified problem fields to adequate productivity
improvement methods through a simple matching procedure.
Relying on a standardized root cause assignment, the case example
shows its applicability to a real industry setting and its contribution
towards efficient and effective improvement activities.

Ranking of Problematic Equipment using Six Big Losses
and Analytic Hierarchy Process
Ratapol Wudhikarn1
1
Chiang Mai University, Thailand

This paper intends to improve the problem of overall equipment
effectiveness (OEE) in the case of equipment performance rankings.
Currently, OEE roughly considers the six big losses by grouping
them into three main elements. Furthermore, the OEE also considers
the weights of its elements the same. The mentioned characteristics
possibly lead to incorrect machine rankings as well as incorrect
decision making. Therefore, this study proposed a new way toconsider the six big losses by using AHP. This approach allows thedecision maker to directly consider the six big losses and, moreover,it also delivers different importance among these major losses. For
these reasons, the proposed method can deliver appropriate rankings
better than the original OEE.

Establishing A New Preliminary Evaluation Criteria
System Model for Green Restaurants

A Real Options Analysis with CVA on Optimal Decision ofRegulatory Capital for the Basel Capital Accord III

In this study, we try to develop a new preliminary evaluation
criterion of green restaurants for government and restaurant owners
as a guideline. To help them to reconsider the restaurant operation
set up and future restaurants’ consumption trend, based on thequestionnaire results, the correlation analysis and exploratory factors
analysis (EFA) are applied. This study will try to develop a new
preliminary, appropriate and trusted evaluation criteria model ofgreen restaurants for government and further extended research
usage. According to the results, a new preliminary evaluation criteria
model for green restaurants built in this study would be focused on
two major dimensions which are “Restaurant green building design”
and “Restaurant outlet organization”. There are four sub dimensions
which are “Energy -saving equipment usage”, “Natural green
design”, “Reuse of tableware resources” and “Repair, maintain andextend the life of the equipments” would be considered deeply in the
future extended research,

This paper aims to study how financial institutions deal with therequirements when facing the requirements of the Basel capital
accord III (Basel III) sequence from 2013-2019 for the progressive
increase of capital of various risk asset requirements, and whether
financial institutions can make value if they reach the target inadvance. In this paper, in accordance with Regulatory Capital,
financial institutions make the goal of the expected minimum cost to
determine the future of each year if financial institutions reach thelimitation of the Basel agreement in advance. By meeting theminimum Bank of International Settlement ratio and credit value
adjustment (CVA) measure model, this paper explores the issue andthen applies the real options approach to analyze how to make rightdecisions. In brief, the key issue of this paper is to help financial
institutions make valuable decisions under the requirements of Basel
III.

Ching-Yu Lien , Bor Min Tsai , Hsin-Yen Wu
1
Minghsin University of Science and Technology, Taiwan
11

1

Tyrone T. Lin1, H. J. Chen1
1
National Dong Hwa University, Taiwan

A Multi-Criteria Decision Support Model for TV Series
Selection
Cigdem Kadaifci1, Ilker Topcu1, Umut Asan1
1
Istanbul Technical University, Turkey

In a highly competitive environment like that of the televisionindustry, TV channels have to pay increasingly more attention to thetarget audiences’ preferences to stay relevant and profitable.
Especially the rapid growth in the number and variety of available
TV series signals the need for a better understanding of the criteria

35

35

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (2)Tue, 11 Dec
13:30 - 15:00
S221
Imad Alsyouf, Yi-Hui Liang

A Methodology for Product Line Design with
Consideration of Supplier Selection
S.F. Deng1, C.K. Kwong1, Xinggang Luo2, H.M. Jiang1
1
The Hong Kong Polytechnic University, China
2
Northeastern University, China

Product line design is commonly used to provide higher productvariety for satisfying diversified customer needs. To reduce the costand development time and improve quality of product lines,
companies quite often consider sourcing. Conventionally, productline design and supplier selection are dealt with separately. In thispaper, a methodology for product line design with consideration of
supplier selection is proposed to determine the specifications of
product variants of a product line and selected suppliers for
maximizing the profit, quality and performance of the product line.
A case study of the product line design of portable computers was
conducted to illustrate the effectiveness of the proposed
methodology. The results have shown that Pareto optimal productline designs and the specifications of product variants can be
determined. On the other hand, suppliers of component andmodules can also be selected. Prices and positions of the productvariants can also be estimated.

Does Delighting Customers to Inspire Loyalty Moderated
by Lodging Motivation?- A Case Study on Five-Star Hotels
in Mid-Taiwan
Yung-Hsin Chen1, Xia Wang2, Shuo-Chang Tsai3, Ingrid Teng3
1
National Cheng Kung University, Taiwan
2
Renmin University of China, China
3
Asia University, Taiwan

That customer satisfaction leading to repeat patronage andprofitability has been a well-established paradigm in the service
literature. For hospitality business especially five-star hotel forinternational tourist where customers make a visit less frequently,
extra efforts should be paid in service innovation to win satisfaction
and beyond. Customer delight enabling acts bring about elements ofjoy, excitement and surprise are intended to sustain and enhanceloyalty manifested in the form of revisit, word-of-mouth andrecommendation. The less visited areas are the role of delight as amediator in the association between customer satisfaction and loyalty
as well as how delight should be differentially addressed dependingoncontext.
This
study
based
on
the
theoryof
expectancy–disconfirmation to extend the prior research, making acontribution to fill the gap of the delight literature by an empirical
study.

Objective Product Family Design Analysis Using
Self-Organization Map
Ningrong Lei1, Seung Ki Moon1
1
Nanyang Technological University, Singapore

In this paper, we investigate an analysis tool which can be used to
identify the number of platforms in product family design. The
proposed tool is based on the cognitive signal processing techniqueof Self-Organizing Map (SOM). We consider that a product family
can be designed in product family design space where each productis just one point or vector in this space. SOM is employed to analyze
the pattern of the data set based on the weight of the design variables.
The proposed analysis tool automates the mapping of product point
into platform clusters to generate the number of platforms in aparticular product family. We apply the proposed tool to determine
the number of platform using a case study involving a family of
universal motors.

social progress. Advantages and problems concerning sustainable
development of this system are identified and suggestions are madecorrespondingly so as to provide scientific basis for the decision
making, sustainable development capacity building andmanagement of the ecological economic system of Shaanxi.

The Combination of Lean Thinking and Systems Thinking
in the Design of Manufacturing Systems
Pascal Hofmann1, Daryl Powell1
1
Norwegian University of Science and Technology, Norway

Manufacturing systems are crucial in competitive battles in manyindustries all over the world and become more and more complex todesign. A continuance of competitiveness requires holistic systems
approaches that use interdisciplinary methods to improve the designof manufacturing systems, such as the combination of lean thinking
and systems thinking. A poor design will typically result in defects
and over-processing, which will also lead to waiting for a redesign.
In this respect, the adoption of a systems engineering perspective
will contribute to the reduction of waste within lean thinking,therefore we attempt to combine the two approaches for more
effective design of manufacturing systems. The research considers aselection of contemporary literature and takes insights from apractical case study in order to develop a framework which shallsupport lean systems engineering thinking.

Portfolio Decision Analysis in Vague Domains
Tobias Fasth1, Aron Larsson2
1
Stockholm University, Sweden
2
Mid Sweden University, Stockholm University, Sweden

Portfolio Decision Analysis (PDA) is applicable in many domains
and is therefore an important part of Decision Analysis (DA). PDA
enables the identification of a preferred portfolio of alternatives
instead of a single alternative, which is the typical case in traditional
DA. The DELTA framework for interval decision analysis enables adecision maker to model and evaluate decision problems in vague
domains with imprecise information, however, it does not support
PDA. This paper presents an extension of the DELTA method so that
portfolio decision problems can be modelled and evaluated withinthat framework. The extension is based on a set of reasonablerequirements, and an evaluation of the PDA methods PROBE, RPM
and Equity.

A Decision-making Model on Concession Period of Public
Rental Housing BOT Project
Jingjing Zhu1, Guangmou Wu1
1
Southeast University, China

It has been clear that the development of public rental housing is oneof the important tasks in developing counties. The aim of this paper
is to discuss the feasibility of using private capital to solve theproblem of construction funds shortage, so BOT model is introduced
to the construction of public rental housing. Because of the rental
income uncertainty in future and the irreversibility of investment
decision, this paper develops a financial subsidy model based on real
options theory to encourage private investors to participate in theconstruction of public rental housing. Then, a decision-making
model on concession period is established based on the proposed
subsidy model to protect the interests of both the government andprivate investors. Finally, a numerical example is presented to verify
the feasibility of the proposed decision-making model and theinfluence of discount rate required by private investors on concession
period.

Evaluations on and Suggestions for the Sustainable
Development of Shaanxi
Shuyan Gong1, Weili Xia1
1
Northwestern Polytechnical University, China

This article builds a system of indexes for the sustainable
development of Shaanxi’s ecosystems. By the data envelopment
analysis method, it conducts analytical and comprehensive
evaluations and analysis of the capacity for the sustainable
development of the province’s ecosystem between Year 2001-2009 interms of its economic system, ecosystem, population system and3636

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (3)Tue, 11 Dec
15:30 - 17:30
S221
C.K. Kwong, Min Wang

Business Feasibility Methodology for Introducing New
Developed Local Food ProductWasawat Nakkiew1, Jaruwan Wannagoat1, Wassanai Wattanutchariya1,
Anirut Chaijaruwanich11Chiang Mai University, Thailand

Several of Thai local food products have problems in launching in a
wider market, especially outside its original region due to the lack ofpractical approaches in analyzing both the marketing aspects andrelating business issues. The objective of this paper is to provide abusiness feasibility methodology mainly for an investor in making
decision about introducing these products to the market. The
proposed methodology consists of marketing step, business analysis
tools step, and the financial analysis step. All of these steps include
many business analyzing tools such as STP, SWOT, and so on. The
results from all the steps will be beneficial for a decision maker or aninvestor who decide whether to launch the product to the market aswell as for continuing product development. The case study of thenorthern Thai style sausage will be used for demonstrating themethodology.

An Investigation of Robust Optimal Design Using
Artificial Neural Network and Genetic Algorithm
Kiatkajohn Worapradya1, Purit Thanakijkasem1
1
King Mongkut's University of Technology Thonburi, Thailand

Robust optimal design using metamodeling techniques plays animportant role in the design under uncertainty. This paper
investigates the construction and application of artificial neuralnetwork (ANN) as the metamodel in a robust optimization using
Genetic Algorithm (GA) approach. The ANN model deals withestimating the mean and standard deviation of an objective
performance. The design procedure is given in this paper andillustrated by the case study, which is to optimize a peaks function. In
addition to the discussion of the sample preparation, the optimal
ANN topology, and essential ANN parameters, comparison of theuse of the GA optimization based on the developed ANN against thenonlinear programming and the best worst case is illustrated. The
results show that the optimization using the ANN model performs
well on different aspects.

Design and Implementation of a Lean Six Sigma
Framework for Process Improvement: a Case Study
Tarak Shahada1, Imad Alsyouf1
1
University of Sharjah, United Arab Emirates

The purpose of this paper is to develop a Lean Six Sigma framework
according to the Six Sigma systemic process improvement
methodology; Define, Measure, Analyze, Improve and Control(DMAIC). It was implemented and verified at one engineering
company in UAE. The results show that the process “Make-to-Order(MTO) projects” has a long lead-time. The main causes of the long
lead-time are the subcontractors, the customers, and thecompany-implemented procedures. Using the framework, it waspossible to identify the most significant reason for the long lead-time,
analyze the root-cause(s), suggest three relevant solutions and selectthe most preferred one. Using the framework methodology the user
will have a systematic approach for continues improvement. The
originality of this methodology was evident in integrating and using
tools related to lean-production, six-sigma, balanced scorecard,
simulation and cost benefit analysis. The framework allows the user
identify the process problem(s) and solve them effectively.

In-Service Inspection of Static Mechanical Equipment on
Offshore Oil and Gas Production Plants: A Decision
Support Framework

The methods developed in operation research and/or the hybrid
systems such as neurofuzzy methodologies provide a backbone fordeveloping such systems. As the personnel working in the inspection
planning deals with large amount of data from different data sources,
it is vital to develop a mechanism to integrate these data to make theoptimum decision. This paper proposes a framework for themechanization of inspection planning and corresponding decision
making processes, focusing on static mechanical equipment inoffshore production plants.

Customer-Driven Conceptual Design for Mid-sized
Passenger Aircraft
S.Y. Han1, Hae-Jin Choi11
Chung-Ang University, South Korea

Customer requirements used in the decision-making at early stage ofdesign process is critically important but easily outdated in everchanging market places due to unstable global economic factors.
These uncertain factors that have not been considered in a productdesign often negatively affect the product market performance at thetime point of product introduction. To solve this critical problem, we
propose a framework for strategic product design, in which
designers may predict product market performance of their own
product concepts at a targeted market and time with given levels of
product attributes and predicted levels of economic factors.
Conceptual design of mid-sized passenger aircraft is employed as avalidation example in this work. Trends of customer preferencesamong three main aircraft attributes (number of seats, range, andspeed) affected by oil price and interest rates are modeled based on
historical sales data of existing aircraft models for 12 years.

Hybrid Fuzzy AHP-GA Approach to Supplier Selection
and Order Allocation in SMEs Manufacturing Networks
Nan Li1, Guiovanni Jules1, Mozafar Saadat1
1
University of Birmingham, United Kingdom

Supplier selection and order allocation is a key step in manufacturing
process. Suitable suppliers for corresponding manufacturing tasks
guarantee a good performance of company in terms of price,lead-time and quality etc. This paper proposes a hybrid approach tosupplier selection and order allocation in Small-to-Medium sizedenterprises (SMEs) manufacturing networks. Fuzzy Analytical
Hierarchy process (FAHP) and Genetic Algorithms (GA) are applied
to evaluate suppliers and optimize the combinations of suppliers. An
industrial case study is carried out to collect the data and informationfrom a central company which coordinates manufacturing networksof SMEs. CASE tool is constructed to simulate the supplier selection
and order allocation process. Cost, Lead-time and Utilization scoreare used to quantify the results of optimization. Results show that the
proposed system is able to optimize the manufacturing networks
based on the requirements of customers and the performance of
suppliers.

Evaluation Model For the Sustainable Use of Information
Technology
Patricia Martins1, Antonio Grilo1
1
Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Portugal

Research indicates that 2% of these emissions are caused by the
information technology sector. The raise of ICT usage leads to theincrease of energy consumption leading to a movement towards
Green IT. While some companies are defending that sustainable
practices are outside of their boundaries, others are taking green
initiatives as a business value. This paper presents a decision model
to support companies for the use of sustainable Information
Technology, combining Fuzzy AHP and TOPSIS. Three cases studies
were conducted in order to validate the applicability of the model.
The perception of companies indicates that human behavior is themost important criteria for improving green usage of IT, and the
sub-criteria related to prevent unnecessary printing of documents
and concern about recycling obtaining the highest weights.

A.M.N.D.B. Seneviratne1, R.M. Chandima Ratnayake1
1
University of Stavanger, Norway

Inspection and maintenance decisions are key elements for assuring
the technical integrity of oil and gas (O&G) production plants. In thiscontext, the offshore industry is facing a challenge in replacing
experienced personnel with new recruitments. The issue is further
exacerbated when the job responsibilities involve high risk related
decisions. Therefore, it is important to replace the human
involvement in decision making processes with intelligent systems.

37

37

Session
Date
Time
Room
ChairsOperations Research (1)Tue, 11 Dec
11:00 - 12:30
S222
Kui Zhang, Shieu-Hong Lin

A Study on Adaptive Particle Swarm Optimization (APSO)
for Solving Bi-level Job-shop Scheduling Problem
Chompoonoot Kasemset1
1
Chiang Mai University, Thailand

This study presents a preliminary test of adaptive Particle Swarm
Optimization (APSO) in solving the bi-level job-shop schedulingproblem (JSP). The test problem presented here is 6x10 JSP (six jobs
and ten machines) formulated as a bi-level formulation. APSO isused to solve the test problem and the result is compared with theresult solved by PSO based method. The results of the test problem
show that there is no significant difference in the first and second
objective values and the iteration number in which the best solution
is first identified between the solutions from APSO and existing
PSO-based method in the tested small size problem of JSP. However,
the advantage of APSO is that it can be used directly on new problem
instances without the exercise to select parameters.

Optimization of the Annual Planning of Targeted Offers in
Direct Marketing
Fabrice Talla Nobibon1, Stephanie Delanote1, Roel Leus1
1
KU Leuven, Belgium

In this paper, we describe our development of an optimization modelthat captures the annual planning of producttargeting campaigns
occurring in financial institutions. This model includes, on the one
hand, product bundling to exploit complementarity among products,
economies of scope and intensify customer lock-in, and on the other
hand, multi-channeling to reach a sufficiently large public andenhance competitive strength. We perform extensive computational
experiments on representative data sets and we discuss somestrategic applications of the model. This work is based on a practicalcase, but all features identifying the company have been removed.

An Algorithm for the Sugar Cane Loading Station Location
Problem
Wirekha Khamjan1, Supachai Pathumnakul1, Kullapapruk
Piewthongngam1
1
Khon Kaen University, Thailand

In this paper, the problem of locating sugar cane loading station isaddressed. The sugar cane loading station is the place for gatheringsugar cane from small size fielders in remote areas. Then, thecollected sugar cane is transported to sugar mill by the large size
truck. An algorithm based on the relaxation of the mathematicalmodel is developed to solve the problem. The objective function is tominimize total cost, which is the cost of enlarging the existingloading station, the cost of establishing new loading station, and thecost of transporting sugar cane from fields to loading stations andfrom loading stations to sugar mills. The results showed that thedeveloped model provided solutions that are slightly different from
optimal solution within short computation time.

A Variable Neighborhood Search Approach for Multiple
Resources Constrained Parallel Machine Scheduling
Problem

A Mixed Integer Programming Formulation for Single
Batch Processing Machine with Incompatible Job Families
Mohamed K. Omar1, Yasothei Suppiah2
1
Nottingham University Business School, Malaysia
2
Multimedia University, Malaysia

In this paper, we introduce a new mixed integer programming (MIP)
formulation to address the sequencing problem of a single batch
machine subject to family dependent setup times. The MIP
developed here extends the current existing formulation in theliterature by including the family setup time. The batches which areformed from jobs originating from incompatible families are thensequenced to minimize the total weighted tardiness. The MIP
formulation has been tested on different combination of jobs, families
and batch sizes for a total of 640 randomly generated instances withconsideration of due date variance, percentage of tardy jobs anduniformly distributed setup times. The results indicate that the MIP
can produce optimal solutions for all the problems tested.

Generating and Ordering of Transport Alternatives inInter-Modal Logistics in the Presence of Cost, Time, andEmission Conflicts
Maria Kalinina1, Aron Larsson2, Leif Olsson3
1
Stockholm University, Sweden
2
Mid Sweden University, Stockholm University, Sweden
3
Mid Sweden University, Sweden

Intelligent matching of goods and freight transports is a complex task
since different transport modes, such as trains, vessels and trucks
have different strengths and weaknesses. Today, however, not onlytransport cost and time are considered but also the low emission isregarded as an important objective in intermodal freight logistics.
The paper describes an approach for generating and orderingtransports alternatives in the presence of cost, time, and emission
conflicts. In order to obtain a reasonable ordering for generated
alternatives we propose the use of the normalized Chebyshev
distance between an alternative and a reference point, herein defined
as a middle point. By doing so, preference information from adecision maker may be taken into account. The approach is tested ona medium sized problem. The results are promising and indicate thepossibility of using the developed method in a decision support
system.

An Optimization Model for Removal of Zinc from
Industrial Wastewater
Farah Assadian1, Pari Beirami1
1Islamic Azad University, Iran

Industrial wastewater is one of the crucial environmental concerns.
Biosorption is an effective method used to remove toxic heavy metals
from wastewater. Biosorption utilizes the capability of biomass toremove metal ions from wastewater. The determination of operating
conditions, namely, the type and the amount of biomass to be used in
the process as well as the processing time, are the key issues in theprocess. This paper proposes an optimization model for removal ofzinc from wastewater. A biomass marine alga, Gracilaria Corticata(GC), is used as biosorbent. Derivation of zinc absorption kinetics
model is first provided. A non-linear optimization model is thendeveloped to determine the optimal operating conditions subject tosatisfying a desired removal percentage while minimizing the total
cost. The experimental results show that GC can be used well for zinc
removal and the proposed optimization model can effectively reduce
the process cost. The proposed approach is illustrated through asimplified numerical example.

Zhengliang Hou1, Xiuping Guo1, Xiuli Guo2
1
Southwest Jiaotong University, China
2
Xihua University, China

We developed a Variable Neighborhood Search approach (VNS) for
the scheduling problem of minimizing makespan on identicalparallel machines with multiple resources constraint and job
sequence dependent setup times in this paper. Plenty number of
instances were generated to verify the effectiveness of the proposed
VNS. Computational experiences reveal that the proposed VNS
outperformed Genetic Algorithm (GA) with respect to solution
quality and time consumption.

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Session
Date
Time
Room
ChairsOperations Research (2)Tue, 11 Dec
13:30 - 15:00
S222
Fabrice Talla Nobibon, Mingzhou Jin

Improving Business Process Performance Without
Increasing Cost
Shin-Guang Chen1
1
Tungnan University, Taiwan

This paper proposes a novel approach to improve the performance ofa business process without increasing cost. A business processusually consists of multiple tasks connected by their precedence
relationships. These tasks are done by some persons who may benormal, sick, or absent. Therefore, the performance of a businessprocess is stochastic in nature, and it can be modeled by thestochastic flow network theory. In stochastic-flow network, theprocess performance is the probability that the maximal work flow is
no less than the demand d. By this theory, the performance of abusiness process can be precisely measured under the state of each
person. If each person in this process is trained as a all-around person,
we can do an optimal person-job reassignment to get the optimal
performance. Some examples are demonstrated for explanation ofthis approach.

Clustering and Hub Selection for a Large Scale Delivery
ProblemSuyan Teng1, Edmund Chan1, Gabriel Siow2
1
Republic Polytechnic, Singapore
2
ST Logistics Pte. Ltd., Singapore

In this paper, we propose a framework to decompose a large scaledelivery problem into a number of smaller sub-problems to improvedelivery efficiency and reduce cost. The delivery points were firstclassified into sectors according to Singapore Zones and Districts.
Then, among a number of pre-selected candidate hubs, thedecomposition problem considers how to determine the appropriate
hubs among the candidates, and for each selected hub, how todetermine the sectors that will get supply from the hub. The problem
was formulated as a Binary Integer Programing (BIP) model andsolved by IBM ILOG CPLEX Optimization Studio (ILOG OPL).
Computational results show that, the prosed framework can obtainreasonably good results for clustering of the delivery points.

A Local-Search Based Algorithm for the Escherization
ProblemShinji Imahori1, Shohei Sakai1
1
Nagoya University, Japan

A tiling of the plane is a set of figures, called tiles, that cover the plane
without gaps or overlaps. On tiling we consider “Escherization
problem”: given a closed figure in the plane, find a new closed figurethat is similar to the original and can tile the plane. Koizumi and
Sugihara [2011, Maximum eigenvalue problem for Escherization,
Graphs and Combinatorics 27, 431–439] reduced this problem to a
maximum eigenvalue problem that can be solved easily. In this study,
we propose a new method that combines local search with their
method to improve the quality of solutions (output tiles) withoutmanual operations. We conduct computational experiments withanimal shape tiles to confirm the effectiveness of the proposed
method.

Sequential Testing Policies for Complex Systems Under
Precedence Constraints
Roel Leus1, Wenchao Wei1, Kris Coolen1
1
KU Leuven, Belgium

We study the problem of sequentially testing the components of amulti-component system to learn the state of the system, when thetests are subject to precedence constraints and with the objective ofminimizing the expected cost of the inspections. Our focus is on
k-out-of-n systems, which function if at least k of the n components
are functional. A solution is a testing policy, which is a set of decisionrules that describe in which order to perform the tests. We
distinguish two different classes of policies and describe exact
algorithms (one branch-and bound algorithm and one dynamic
program) to find an optimal member of each class. We report on
extensive computational experiments with the algorithms for arepresentative data set.

Incorporating Local Search in Heuristics for Dynamic andStochastic Maritime Pick-up and Delivery Problems
Gregorio Tirado1, Lars Magnus Hvattum2
1
Universidad Complutense de Madrid, Spain
2
Norwegian University of Science and Technology, Norway

This work considers a stochastic and dynamic routing problem
arising in industrial shipping. Three existing solution methods are
considered and extended by three different local search variations: afirst improvement descent using stochastic information, a tabu
search using stochastic information only when updating theincumbent solution, and a tabu search using stochastic information
when selecting moves based on a list of moves determined through a
proxy evaluation. The results emphasize the usefulness ofincorporating stochastic information in solution methods for
dynamic routing problems, and illustrates how structurally different
solutions may arise from different methods even when similar
stochastic information is used.

A Markov Decision-Making Model for Emergency Medical
Resource Allocation with Multi-Category Injuries
Hongyun Xia1, Yiping Jiang1, Lindu Zhao1, Micheal Herty21Southeast University, China
2
RWTH Aachen University, Germany

This paper focuses on the medical resource allocation problem in thecontext of demands great exceeding supplies. We first group the
injuries as slight, moderate and severe classes. Then, we investigate
the transitions of injuries’ health states with delay consequence of
medical service and with treatment by allocating medical resources
respectively. Next, we formulate the transition process as a Markov
Decision Process (MDP) model under the objective of maximizing lifesaving. Finally, we transfer the developed MDP model into a
dynamic programming and propose an iteration algorithm to solve it.
In the following, we give a numerical example to illustrate ourmodel.

Minimizing Total Tardiness in NFSSP with SDSTs andRDs by Using Hybrid Differential Evolution Algorithm
Bin Qian1, Zuocheng Li1, Rong Hu1, Xiaohong Zhu1
1
Kunming University of Science and Technology, China

In this paper, a hybrid differential evolution algorithm (HDE) isdeveloped for solving the no-wait flow shop scheduling problem(NFSSP) with sequence-dependent setup times (SDSTs) and release
dates (RDs). The objective function to be minimized is total tardiness.
Firstly, a largest-order-value (LOV) is utilized to convert continuous
individuals in DE to job permutations. Secondly, differential
evolution (DE) is used to evolve individuals in its population to
execute effective exploration. Thirdly, a local search based on
problem’s properties and the insert neighborhood is embedded into
DE to improve the exploitation ability. Due to the reasonablehybridization of exploration and exploitation, the NFSSP with SDSTs
and RDs can be solved efficiently. Computational results show theeffectiveness and efficiency of the proposed HDE.

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39

Session
Date
Time
Room
ChairsOperations Research (3)Tue, 11 Dec
15:30 - 17:30
S222
Jianfeng Mao, Lars Magnus Hvattum

Solving Euclidean Minimal Spanning Tree Problem Usinga New Meta-heuristic Approach: Imperialist Competitive
Algorithm (ICA)
S.Mohsen Hosseini1, Abdullah Khaled1, Mingzhou Jin2
1
Mississippi State University, United States
2
The University of Tennessee, United States

The minimum spanning tree (MST) problem has numerous
applications in design of communication, computer andtransportation networks. This paper proposes an application of a
new meta-heuristic called Imperialist Competitive algorithm (ICA)
for solving a special case of MST defined on a Euclidean plane, called
the Euclidean minimum spanning tree (EMST) problem. ICA is
inspired by human’s socio-political evolution. The solution quality
and speed of the proposed are verified by numerical examples
compared to a commercial optimization solver.

A New Construction Heuristic Algorithm for the
Rectilinear Block Packing Problem: A Bridge between theBest-Fit and Bottom-Left Algorithms
Yannan Hu1, Hideki Hashimoto1, Shinji Imahori1, Mutsunori Yagiura1
1
Nagoya University, JapanThe rectilinear block packing problem is a problem of packing a set ofrectilinear blocks into a larger rectangular container, where a
rectilinear block is a polygonal block whose interior angle is either 90◦or 270 ◦. There exist many applications of this problem. In this paper,
we propose a new construction heuristic algorithm based on thebottom-left strategy. The pro-posed algorithm is tested on a series of
instances, which are generated from nine benchmark instances. The
computational results show that the proposed algorithm is especiallyeffective for large instances of the rectilinear block packing problem.

Vehicle Refueling Planning for Point-to-Point Delivery byMotor Carriers
Shieu-Hong Lin1
1
Biola University, United States

Managing the fuel cost is a critical task for the transportation industry.
For point-to-point delivery of commodity over the transportation
network, the motor carrier needs a vehicle refueling plan thatspecifies (i) the path from the starting point to the destination, (ii) theintermediate stopping points for refueling along the path, and (iii)
the amount of fuel to refill at each stopping point. Using the shortest
path through the network may not end in the best result since fuelprices along the path may be more expensive than those along a
longer path. We show that we can search for optimal vehicle
refueling plans minimizing the total fuel cost by examining paths
satisfying an extremal transition property and depict the resulting
time complexity under several operational constraints.

Reformulation of Lawler's Algorithm by
Auxiliary-information Dynamic Programming in a
Minimax-cost Scheduling Problem
Eiji Mizutani1
1
National Taiwan University of Science and Technology, Taiwan

We consider the minimax-cost scheduling problem, in which theobjective is to obtain an optimal job sequence (on a single machine)that minimizes the worst stage cost. In the literature, the standard
approach to the posed problem is an efficient backward sequencing
procedure of Lawler 1973. It is in effect a greedy algorithm of Dijkstra
type; this perspective allows us to reformulate Lawler’s method as anequivalently efficient dynamic programming (DP) with auxiliary
information. Our DP algorithm can terminate the process earlier thanLawler’s procedure.

An Optimization Approach of Product Design with
Consumer Preference Uncertainty
Jing Du1, Xiaoming Hu1, Qiang Lu1, Suxiu Xu2
1
Harbin Institute of Technology Shenzhen Graduate School, China
2
The University of Hong Kong, China

Product design optimization has traditionally been dealt with
consumer preference as a deterministic process, such as conjoint
analysis and multi-dimensional scaling. Actually, the hypothesis in
those methods that consumer needs and preference are static andinsulated is questioned by many marketing researchers. Preference
dynamic and dependence suggest itself to be a challenging task. This
paper reports an application of product design optimization
capturing consumer preference uncertainty to laptop design.
Preference dynamic character has been described as a Bayesian
update process. Then, a generalized utility model is developed tofacilitate the influence of preference dependence. To overcome theshort of first-choice rule and probabilistic rule, a threshold-based
choice rule is presented.

A Hybrid Algorithm for the Pickup and Delivery Problem
with Time Windows: A Case Study at a Fresh Milk Plant
Mengjuan Xu1, Lindu Zhao1
1Southeast University, China

This article addresses a vehicle routing problem which considers
points requiring simultaneous pickup and delivery service in thegiven time windows. The objective of the problem is to determine theminimum costs both fixed and variable by means of a fleet ofheterogeneous vehicles. We propose a hybrid algorithm which
consists of a penalty function method and a tabu search algorithm.
The first is to simplify the pickup and delivery problem with time
windows (PDPTW). The latter improves solutions by limited
iterations.

Enhanced Group Genetic Algorithm for the Heterogeneous
Fixed Fleet Vehicle Routing Problem
Michael Mutingi1, Charles Mbohwa2
1
University of Botswana, Botswana
2
University of Johannesburg, South Africa

Vehicle routing is a crucial task in supply chain and logistics
management. The heterogeneous fixed fleet vehicle routing problem(HFFVRP) has become a major optimization problem in most supply
chains involved with delivery (collection) of goods to (from)
customers. In this problem, there are limited vehicles of different
types. The solution to this problem involves assigning customers to
the existing vehicles and, in relation to each vehicle, defining theorder of visiting each customer for the delivery or collection of goods.
Hence, the objective is to minimize the total costs, while satisfying
customer requirements and visiting each customer exactly once. In
this paper an enhanced group genetic algorithm is proposed andtested on several benchmark problems. The computational results
show that the proposed algorithm produces high quality solutions
within an acceptable computation time.

Inventory Systems with Power Demand, Deterioration andBacklogged Shortages

Joaquin Sicilia-Rodriguez1, Manuel Gonzalez-De la Rosa1, Jaime
Febles-Acosta1
1
University of La Laguna, Spain

In this paper we study deterministic inventory systems for goods
with a power demand pattern. The inventory is depleted not only bydemand but also by a deterioration process of items. A constantdeterioration rate is assumed. Shortages are allowed and completely
backlogged. The total inventory cost includes the ordering cost, theholding cost, the backlogging cost and the deteriorated units cost. A
procedure to calculate the economic order quantity, the optimal
length of the inventory cycle and the minimum inventory cost is
proposed.

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40

Session
Date
Time
Room
ChairsSupply Chain Management (1)Tue, 11 Dec
11:00 - 12:30
S223
Hongyi Sun, Horst Tempelmeier

Identify Critical Success Factor of Knowledge
Management in Supply Chain : Fuzzy DEMATEL
Approach
Sachin Patil1, R. Kant1
1
Sardar Vallabhbhai National Institute of Technology, India

Knowledge management (KM) is a major enabler of supply chain (SC)management. The performance of KM in SC may be affected byvarious different factors and it is always difficult for the practitioners
to improve all aspects at the same time. This study presents afavorable method combining fuzzy set theory and the DecisionMaking Trial and Evaluation Laboratory (DEMATEL) method to
identify critical factors for successful KM implementations in SC.
Considering the interdependence among factors, this fuzzy
DEMATEL method forms a structural model and then visualizes thecausal relationships among factors through a cause-effectrelationship diagram. Then according to the results of proposed
method, critical success factor (CSF) of KM in SC is figured out.
Finally, four CSFs are identified out of 12 influencing factors, which
will helps to improve effectiveness and efficiency of KM in SC.

A Predictive Model For Supply Chain Management
Implementation Using AHP Methodology
Shrikant Gorane1, R. Kant1
1
Sardar Vallabhbhai National Institute of Technology, India

The aim of this paper is to understand of Supply chain management
enablers (SCMEs) and to identify priority weights. It uses analytic
hierarchy process (AHP) methodology to prioritize SCMEs forsupporting the supply chain management (SCM) implementation inorganizations. These SCMEs are selected form the literature reviewsand expert discussion. The pair wise comparisons of SCMEs (usually,
alternatives and attributes) are established using a scale indicating
the strength with which one SCME dominates another with respect
to higher-level SCMEs. This scaling process then translated into
priority weights. The AHP can be a useful guide in the decision
making process of SCM implementation. It has been observed thatSCME 6 (top management commitment and support) has highpriority weights. If the enablers with higher priority weights areproperly concentrated during implementation, definitely the SCM
implementation will be a success.

Predicting the Success Possibility of Implementing
Information Sharing in Supply Chain Using Consistent
Fuzzy Preference Relationship
R. Kant1, Akshay Pujara1
1
Sardar Vallabhbhai National Institute of Technology, India

The aim of this paper is to identify the priority weights ofInformation sharing Enablers (ISEs) in Supply Chain (SC). These ISEs
are selected form the literature reviews and expert discussion.
Consistent Fuzzy Preference Relationship (CFPR) is used to prioritizethese ISEs for supporting effective information sharing (IS) in SC.
The pair wise comparisons of ISEs are established using a scale
indicating the strength by which one ISEs dominates another withrespect to higher-level ISEs. This scaling process is then translated
into priority weights. The CFPR can give clear idea for prioritizing
the variable which has significant effect on effective IS in SC. It has
been found that ISE 1 (top management commitment) has highest
priority weights. If ISEs with higher priority weights are properly
controlled during implementation, effective IS is easy to attain.

the optimal myopic ordering quantity decreases (or non-increases)
when the on-hand wealth increases. When the on-hand wealth isvery large, the retailer may give up ordering at the later periods.
Moreover, for any period if the expected profit target increases, theretailer will order a bigger quantity. Future research directions are
discussed.

Managing Health Care Perishable Apparel Products using
Quick Response Program
Hau Ling Chan1, Tsan-Ming Choi1, Chi Leung Hui1, Sau Fun Ng1
1
The Hong Kong Polytechnic University, Hong Kong

With the similar characteristics as many fashion products, it isbelieved that some health care apparel products can be managed by
Quick Response Program (QRP). Motivated by our real world
observations in local hospitals, we consider in this conference paperthat a private hospital can capture the demand of the correlated
products through a RFID or a bar-coding system to improve theinitial demand predication which leads to better inventory planning.
We develop an analytical Bayesian model for information updatingprocess. We derive the expected value of information acquisition andexamine whether QRP should be executed. We conclude that thehospital should compare the ratio of the optimal number ofobservations and the corresponding information acquisition costs todetermine which scanning system should be implemented.

Application of the Supply Chain Concept for Educational
Services
Chiu Liang Gan1, Ek Peng Chew1, Loo Hay Lee1
1
National University of Singapore, Singapore

Calls were made to review higher educational institutions’accountability for its outputs, in terms of affordability, accessibility,
capacity and relevancy of graduates, and also to address theincreased demand for knowledge workers with differentiatedattributes. This paper proposes a management model that adopts theprinciple of the traditional supply chain to address this issue. The
proposed model differs from the previous few studies of applied
supply chain concepts into the management of the implied
uncertainties inherent in the education system. By redefining theoutput in terms of graduates’ employability attributes, output
products (graduates) can then be differentiated, which in turnresulted in how the upstream drivers should be identified, labeled
and managed. This exploratory paper proposes a supply chain
model which can directly address the link between employability
parameters and how the institutional resources are managed.

A Reverse Logistics Decision Model in Green
Manufacturing Supply Chains
Tyrone T. Lin1, Y.S. Lu1
1
National Dong Hwa University, Taiwan

For the reason that people pay attention to green consciousness thisyear, this paper focus on the green logistics. We use the reverse
logistics to explain how to deal with the green logistics. Besides, we
use the net present value (NPV) to evaluate costs. At last, we will use
an option model to prove our issue. From our research, first, we canknow how a company sets the reasonable price. Second, we offer agreen logistics model that help companies to do green logistics. Last,
we help companies know well the green costs in manufacturingindustries. There is no conflict between green logistics and profits if
we can make use of the reverse logistics and analyze our costs indetail.

Myopic Multi-Period Mean-Variance Inventory Policy for
Fashion Products
Tsan-Ming Choi1
1
The Hong Kong Polytechnic University, Hong Kong

Inventory decision for fashion products with stochastic demand
incurs risk. It is hence highly important to incorporate risk into therespective inventory decision making framework. By employing themean-variance (MV) approach, this conference paper explores amyopic MV inventory policy for fashionable items with highly
volatile demand. With the consideration of current wealth and thefuture (expected) profit target, we derive the closed-form optimal
myopic inventory policy. We prove analytically that for any period

41

41Session
Date
Time
Room
ChairsSupply Chain Management (2)Tue, 11 Dec
13:30 - 15:00
S223
Aron Larsson, Supachart Iamratanakul

A Thinking Framework for Managing Complexity in the
Supply Chain
Seyda SerdarAsan1
1
Istanbul Technical University, Turkey

Supply chains involve situations that are complex, messy, and thatcannot be independent of the people involved (such as stakeholders
with shared interests, yet with different worldviews and withpossibly conflicting perceptions about the problem). In this kind of
situations use of interpretive approaches (i.e. soft OR) that facilitate
structuring the problem and provide a thinking framework thathelps people to share a common language and understanding of thesituation/system may produce more effective results. This, in turn,enables people to master the complexity they face in their supply
chains more effectively. This paper presents a framework of supply
chain complexity management and a methodology based on Theoryof Constraints’ Thinking Process Tools to support decision makers
when dealing with complexity in the supply chain.

Capacitated Multi-Item Dynamic Lotsizing with Random
DemandHorst Tempelmeier1
1
University of Cologne, Germany

In this paper a new formulation of the multi-item dynamic
capacitated lotsizing problem with random demands and different
types of service level constraints is presented. The model can besolved with a standard MIP-solver. For larger problem sizes,
MIP-based heuristics are proposed.

Developing a Genetic Algorithm to Optimise an
International Supply Chain under (s, S) policy
Wei Xu1, Dongping Song1, Michael Roe1
1
University of Plymouth, United Kingdom

This paper considers an integrated raw material procurement andproduction planning problem in an international supply chain. Theinternational supply chain is extracted from a real case study, which
involves multiple stages with multiple types of uncertainties. The
raw material procurement and production decisions are managed
under set of (s, S) policies. The objective is to find the best set of thecontrol parameters by optimising the supply chain performance. A
genetic algorithm is developed. We compare the optimised policy
with other policies including lot-for-lot policy and the company’s
original policy. The results show that a significant performance
improvement can be achieved in various scenarios with different
levels of uncertainty and international sales.

Micro-organizational Supply Chain Management
Influential Factors: A Case StudyNayanapriya Gunawardhana1, Takao Enkawa1, Sadami Suzuki1
1
Tokyo Institute of Technology, Japan

The paper proposes a ‘Hierarchical Model for Supply Chain
Management (SCM)’ with a micro organizational demand chain
perspective. Business model’, ‘product-market strategy’, ‘strategic
management’ and ‘product complexity’ are defined as broad
influential factors in the model. A case study with six demand chainsin the apparel industry illustrates the proposed model with an initial
validation.

Quantifying Supply Chain Disruption Risk Using VaR

Allan Nengsheng Zhang1, S.M. Wagner2, Mark Goh3, M. Terhorst4, B. Ma1
1Singapore Institute of Manufacturing Technology, Singapore
2
Swiss Federal Institute of Technology, Switzerland
3
TLI-AP,National University of Singapore, Singapore
4
RWTH Aachen University, Germany

Supply chain disruptions now seem to happen more frequently andwith more serious consequences. Measuring this risk is still an
emerging topic for both research and practice. This paper presents a
new quantitative method for risk measurement using Value at Risk
(VaR) based on a disruption recovery model consisting of abrupt,
normal, fast, and slow modes to help supply chain managers conductrobust “what-if” analyses to tackle such vulnerability and other risk
factors for their company’s business continuity. Unlike conventional
applications of VaR that directly measure the risk in terms of the loss
from a structural perspective, which is difficult for supply chain
disruption risk, this paper introduces Time Equivalent derived fromthe recovery modes as a main measure to easily calculate the VaR for
supply chain disruption risks.

Incentive Contracts between Fourth-party and Third-party
Logistics Providers based on Performance Measurementwith Intellectual Capital
Qin Zhu1, Richard Y. K. Fung1
1
City University of Hong Kong, Hong Kong

Recent development in logistics has led to wide use of fourth-party
logistics (4PL) and third-party logistics (3PL) service providers.
Given the increase of the supply chain complexity and growth ofcustomer expectation, these logistics service providers (LSPs) face
increasing challenges. A viable way is to cooperate. This paper aims
to apply the principal-agent theory to study the horizontal
cooperation between 4PL and 3PL providers through the use of
incentive contracts. In contrast with traditional approach, intellectual
capital such as employee knowledge and advanced information
technology is added into the nosiness performance measurement.
The intellectual capital is difficult to be measured in financial terms
for contracting purpose, but can be reflected by a performanceindicator. Issues related to the concept, definition and design of asequence of short-period incentive contracts are discussed in thispaper, as well as the role of the performance indicator.

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Session
Date
Time
Room
ChairsSupply Chain Management (3)Tue, 11 Dec
15:30 - 17:30
S223
Allan Nengsheng Zhang, Fikri Dweiri

Container Pre-marshalling Problem: A Review and
Solution Framework
Mohamed Gheith1, Amr Eltawil1, Nermine Harraz1
1
Egypt - Japan University of Science and Technology, Egypt

The continuously increasing trends of global trade are putting moreemphasis on container terminals related operational problems. These
problems are becoming day after day of extreme importance, andever improving performance has become a demand for all container
terminals. The container pre-marshalling problem is one of theimportant and hard to make decisions in modern container terminals
that has a direct impact on vessel berthing times and hence on theperformance of the container terminal. In this paper we provide a
review of recent literature and we propose an innovative simple
heuristic.

Multi-Depot Vehicle Routing Problem with Time
Windows Using Hybrid Metaheuristic Algorithm
Seyed Farid Ghannadpour1, Amin Jamili1
1
MAPNA Co., IranThis paper aims to presents a new solution for multi-depot vehicle
routing problem with time windows which is well known
combinatorial optimization problem in operation research. This
problem involves the routing of a set of vehicles with limited
capacity from a set of depots to a set of geographically dispersed
customers with known demands and predefined time windows. The
present work aims at using a hybrid metaheuristic algorithm in theclass of High-Level Relay Hybrid (HRH) which works in three levels
and uses an efficient genetic algorithm as the main optimization
algorithm and tabu search as an improvement method. In the genetic
algorithm various heuristics incorporate local exploitation in theevolutionary search. The suggestive algorithm is applied to solve theproblems of the standard Cordeau's Instances. Results show thatsuggestive approach is quiet effective, as it provides solutions thatare competitive with the best known in the literature.

A Three Echelons Supply Chain Network Design in a
Fuzzy Environment Considering Inequality Constraints
Mahdi Bashiri1, Mahtab Sherafati 1
1
Shahed University, IranIn this paper an optimization approach is applied for designing a
multi-product supply chain network in a fuzzy environment. The
considered supply chain contains three echelons of suppliers,
manufacturers and retailers. In this problem a fuzzy optimization
method has been used and fuzzy slack or surplus variables are usedin optimization stage. In this paper the decision variables are fuzzy
while in the other approach they are certain. Two hypothetical casestudies illustrate the application of the proposed method. Finally asensitivity analysis has been done for the fuzziness and its effect on
the supply chain network design has been evaluated. The results
show that increasing the fuzziness will increase the total cost andextra allocations will be added to the supply chain network structure.

The Study of Tiered Pricing Model in Three-echelon
Reverse Supply Chain
Fuwen Li , Ruizhu Han
1
Southeast University, China
11This paper studies the recycling and pricing problem ofthree-echelon reverse supply chain which is composed by a single
manufacturer, a single third-party recycler and a single retailer.
Under the premise that the recycled products have different quality
levels, this paper uses game theory to discuss the tiered pricing
strategies of the three-echelon reverse supply chain in thedecentralized pricing model and in the centralized pricing model.
Through analysis we obtain the Stackelberg equilibrium in thedecentralized decision-making mode and the equilibrium solution in
the centralized decision-making mode. Finally, a numerical example
further illustrates the conclusion that the recycling price of the waste
products and reverse supply chain profit in the centralized pricing
model are higher than the corresponding results in the decentralized
pricing model.

Coordinating a Supply Chain for a Newsvendor-Type
Product with Sales Effort Effects
Yao Yu Wang1, Jian-Cai Wang2
1
Soochow University, China
2
Beijing Institute of Technology, China

In this paper, we investigate the issue of how to coordinate a supply
chain for a newsvendor-type product where demand is sensitive toboth retail price and sales effort. Most related studies have shownthat many of the well-known “channel coordination” contracts will
fail in such a with-effort supply chain. To remedy this situation, we
propose a continuous “volume discount” schedule which not only
can perfectly coordinate this with-effort channel, but also enables thedominant manufacturer to arbitrarily allocate the channel profit andleave only a subsistence profit for the retailer.

Strategic Design of the Construction Supply Chain: A Caseof Building Projects in Iran
Mohammad Reza Safaian1, Hossein Moradinasab1
1
Building Engineering Organization, IranSupply chain management (SCM) is a concept that has flourished in
manufacturing. Strategic management of the construction project canbe achieved by implementing the supply chain management
approach. Logistics activities must be considered during the designphase. Information sharing among designers, suppliers, constructionengineers, distributors, and project managers are key aspects inusing just-in-time (JIT) approach in construction supply chain wereconducted with the experienced Iranian practitioners. Simulation isused to model and measure the performance of construction supply
chain. Finally, the actual building construction case is studied andvalidated. Objectives of research are (i) to identify critical factors in
the construction supply chain, (ii) to reduce logistics cost in thebuilding construction project, and (iii) to implement the supply chain
strategic management in the actual construction project.

Matching of Intermodal Freight Transports Using
Optimization in a Decision Support System
Leif Olsson1, Aron Larsson2
1
Mid Sweden University, Sweden
2
Mid Sweden University, Stockholm University, Sweden

We describe the computational methods to be used in a web basedtransport matching system in order to providing clients alternativetransport routes, and a model for support of combined intermodaltransports where time, emissions and costs are jointly handled. We
use network optimization and a mixed integer linear model together
with subsequent results from a feasibility test carried out within atransport corridor ranging from the west coast of Norway to Finlandthrough Sweden. The test indicates that network optimization is awell suited methodology for this type of problem, providing swift
solutions for the selected problem which is of a medium size withrespect to the network size. Future development will be focused on
the extension and implementation of this model in a web-based
multi-criteria decision support system, able to handle conflicts
between cost, time, and emissions in the recommendation ofadmissible transport solutions.

A Classification and Review of Recent Models for Solving
the Vehicle Routing Problem and a Proposed New Problem
Framework
Alyaa Abdel-Halim1, Amr Eltawil1
1
Egypt - Japan University of Science and Technology, Egypt

The exponential rise in the advances of computing power has opened
new domains for improved solution quality and computational
efficiency for more difficult classes of the Vehicle Routing Problems(VRP). This paper sheds some light on the recent work published inthis field of interest and provides a classification of different problem
structures and the solution methodologies used to tackle every class.
Waste collection is then identified as a one of the current criticalapplications of the VRP, the problem is reviewed and a new class is
identified and described.

43

43

Session
Date
Time
Room
Chairs

Quality Control & Management (1)Tue, 11 Dec
11:00 - 12:30
S224
Ralph Riedel, Sandeep Grover

Critical Success Factors for Six Sigma Deployment: Is a
Centralized Deployment Structure Better Than aRe-integrated Deployment Structure?
Alan Keeley1, Corro Van Waveren1, Kai-Ying Chan1
1
University of Pretoria, South Africa

The Six Sigma continuous improvement methodology often resulted
in significant reduction in cost and increases in revenue. Lonmin PLC,
which operates within the South African Mining Environment,
decided to transform its Six Sigma deployment from a centralized
centre of excellence approach to one where the core competencies
and drive behind the deployment programme (black belts andmaster black belts) are re-integrated into the line functions of theorganization. The aim of this paper is to determine which of the
deployment structures is more successful and the success factors
associated to the more successful deployment structure. The
empirical results have showed a centralized deployment structure ismore successful using dependent samples t-tests. Moreover, sevencritical success factors are identified using multivariate analysis.

A Method for Product Quality Management Throughout
Its Life Cycle
Dinh Son Nguyen11Danang University of Technology, The University of Danang, Viet Nam

Due to the development of information technology, computer isbecoming a useful and effective tool to support engineering activities
in product design and manufacturing. A numerical model of productcreated in CAD environment is used to perform engineering
simulation such as kinematics, dynamics, failure, etc. However, it is anominal representation of product and does not deal with variations
generated along the product life cycle. The risk is then that thedesigned product does not fully meet the requirements of customers
and users. Thus, this paper proposes a method that allows managing
the quality of product during its life cycle. The method permits tomodel variation sources during the product life cycle and managing
causes and consequences of these variations at design stage.

A Generalized Linear Test Model to Monitor AR(1)Autocorrelated Polynomial Profiles
M. Keramatpour1, S.T.A. Niaki2, Amirhossein Amiri3
1
Islamic Azad University, Qazvin Branch, Iran
2
Sharif University of Technology, Iran
3
Shahed University, IranIn some statistical process control applications, quality of a process or
product can be characterized by a relationship between a response
and one or more independent variables, which is typically referred toa profile. In this paper, polynomial profiles are considered where
there is a first order autoregressive relation between the error terms
in each profile. A remedial measure is first proposed to eliminate theeffect of autocorrelation in phase-ІІ monitoring of autocorrelated
profiles. Then, a control chart based on the generalized linear test
(GLT) is developed to monitor coefficients of polynomial profiles
along with an R-chart to monitor the error variance, the combinationof which is called GLT/R chart. Then, the results obtained from
GLT/R charts are compared to the prevalent method like multivariate
T2 control chart. Average run length criterion is employed tocompare the performances.

An Empirical Study of Critical Success Factors for
Statistical Process Control Implementation: A
Second-Order Factor Analysis
Jafri Mohd Rohani1, Sha'ri Mohd Yusof1, Ismail Mohamad1
1
Universiti Teknologi Malaysia, Malaysia

Very few empirical studies have been published on developing andvalidating key success factors for SPC implementation.. This study
employs confirmatory factor analysis (CFA) and structural equation
modelling (SEM) to investigate the presence of single second-orderfactors for analyzing key success factors. CFA was employed tovalidate the measurement model of six first-order factors. Based on
CFA goodness-of-fit indices, the results provided evidence for thedata fit the proposed model of 6-factor construct. Based on SEM
analysis, these six first-order factors correlated positively andcollectively load on a single second-order factor called “critical
success factors”.
This new evidence suggest that SPC
implementation should be viewed as a whole rather than piece meal
approach.

Product Driven Quality Control
Samuel Bassetto1, Adeline Motte11Polytechnique Montreal, Canada

Starting with the observation that a great number of defective
products are released on the market, we wondered if product driven
quality control (PDQC) could be more efficient to prevent suchsituations. To test this policy, we have built a job-shop manufacturingsystem using multi agents technology that enables products to be
pro-active both for production and quality controls. In this system,
each product is aware of its own quality and takes the initiative of
quality measurements. PDQC has been systematically compared toclassical frequency based quality control (FQC) policies. The resultsof the simulation show that there are less defective products in thecase of PDQC and a better detection. However the level of uncertain
products as the speed of detection are not influenced by this policy.

Quality Management for Leadership

Masayoshi Ushikubo1, Hisato Tashiro2, Nobuzumi Fujii3, Ichiro Sakata2
1
Sanden Corporation,
2
The University of Tokyo, Japan
3
Waseda University, JapanTop management commitment is one of most essential factors for the
success of Total Quality Management (TQM) implementation.
Continuous supply of genuine leadership is critical for survival of the
TQM organization. But, a little is known to raise enable leaders fornext generation. In this paper, we review a literature of TQM andLeadership with a citation network. Then, discuss a model ofleadership developed by a case global manufacturer that has been
awarded various quality awards, including several Deming
Application Prizes in Japan, Singapore, U.S.A. and India.

Identifying the Time of a Step Change in the Mean of a
Two-Stage Process
Amirhossein Amiri1, S. Zolfaghari1, Ali Asgari1
1
Shahed University, Iranwhen a control chart signals is not necessarily the real time of achange known as the change point in the literature. Estimating thereal time of a change after a control chart signals is crucial and leads
to saving time and cost in finding special causes. In this paper an
MLE approach is used to estimate step change point in the mean ofmultistage process in Phase II. We specially focus on a two stage
process each one including a variable quality characteristic withnormal distribution. The quality characteristics in these two stages
are linked to each other through a linear regression model. The
performance of the proposed method is evaluated through a
numerical example. The results show that the estimator performs
well.

44

44

Session
Date
Time
Room
Chairs

Quality Control & Management (2)Tue, 11 Dec
13:30 - 15:00
S224
Huairui Guo, Charles Mbohwa

Nonparametric Design of Phase I X Control Charts with orwithout Sensitizing Run Rules
Giovanna Capizzi1, Guido Masarotto1
1
University of Padua, Italy

Shewhart X control charts are very popular between practitioners
since they are easy to operate and interpret. Traditionally, the control
limits for the standardized subgroup means are either fixed inadvance or computed so that the chart has a prescribed probability ofgiving a false alarm for an in-control normal process. Bothapproaches can result in an excessive number of false alarms in the
nonnormal scenario. Here, we argue in favor of determining control
limits by permutation. The new critical values are fast to computeand guarantee a prescribed false alarm probability without any priorinformation on the in-control distribution. A simulation study showsthat the proposed limits enjoy an oracle property; namely, they
perform at least as well as if the true underlying process
distribution were known in advance and used to compute the limits.
An R package implementing the new procedure is available from theauthors.

DMAIC Methodology for Fold Defect Reduction in the
Optical Blank Industry
Mohamed K. Omar1, Hock Kheng Sim2, Geok Ching Lim2
1
Nottingham University Business School, Malaysia
2
Multimedia University, Malaysia

This study presents a Six-Sigma project of a company in opticalindustry that has difficulties to screen the defect mold blanks. This
project has substantially benefited the firm by reducing the defectrate and as a result; the customer’s claims were reduced by 40.8%.
This was done through statistical analysis; identifying the effects of
the key process input variables (KPIVs) towards key process output
variables (KPOVs). In addition, risk of the critical KPIVs wasmeasured with FMEA, and selected KPIVs were used for process
improvement. An optimal setting for the process was proposed. The
proposed solution was tested and verified by simulation andsuccessfully implemented in the company. This project methodology
can be used in general to reduce process variations for other firms in
the optical industry and can help to reduce the defect rates.

Evaluating Intensity of Human Factors in TQM Using
Analytical Network Process (ANP) Approach
Sandeep Grover1
1
YMCA University of Science & Technology, India

There are numerous benefits of successful implementation of Total
Quality Management (TQM) in an organisation. Besides many
critical factors affecting the TQM Implementation, the role of humanresource factor is the most important. It is considered as a soft factor
of an organisation. This paper focuses on the identification andanalysis of various vital human factors influencing the successful
implementation of TQM. Prioritization of the factors has been donewith the Analytical Network Process (ANP), which is the extensionof well-known technique Analytical Hierarchy Process (AHP)
developed by Saaty. Whereas, AHP only considers theinterrelationships at the outer level, ANP also evaluates theinterrelationships at the inner level with the feedback. The resulting
model formed by analytic network process can guide organizations
to suitably prioritise the factors and emphasise them properly during
the planning, installation and start-up phases of the implementation
process. This methodology (ANP) has never been used to evaluate
the human resource factors in TQM as author has not come across
any literature on this.

configuration and usage. The methodological concept is validated
and its potential is proven by its application to several data samples
from the field.

Barriers in Total Productive Maintenance Implementation
in a Semiconductor Manufacturing Firm: A Case Study
Kam-Choi Ng1, Gerald Guan Gan Goh2, Uchenna Cyril Eze3
1
Infineon Technologies, Malaysia
2
Multimedia University, Malaysia
3
Monash University, Malaysia

As most organizations have to simultaneously meet various
stakeholders requirements related to quality, cost, delivery and safety
aspects these organizations must be driven by both effective andefficient operation strategies in order to fulfill the stakeholders’demand. One of the approaches to improve the production
performance is to develop and implement total productive
maintenance. Total productive maintenance (TPM) is a world-classmanufacturing strategy which leading manufacturing very near toideal condition with zero down time, zero defect, lean production,
just-in-time production (JIT) and competitive cost leader in order togain competitive advantage. The findings of this research reveal
key barriers of a successful TPM implementation such as lack oflong-term commitment from the top management, lack of competentresources, lack of buy-in from shop floor staff, increase production
operator’s job load, lack of cultural change, inability of theorganization to coordinate its shop floor, and inadequate
communication and awareness.

On Detection of Spatiotemporal Clustering
Chen-ju Lin1, Yen-ting Chen1
1
Yuan Ze University, Taiwan

Timely detection of an event is one of the important tasks in many
spatiotemporal applications. The unknown nature of the event
makes the detection process challenging. Likelihood ratio (LR)methods have been widely used for identifying locations and change
point times through searching the maximum evidence over temporaland spatial windows. However, the LR-based methods may not be
optimal if shift parameters are unknown. This paper introduces a
new test framework for spatiotemporal surveillance based on the
EWMA technique. We propose a statistic that applies exponential
smoothing to both temporal and spatial axes and aggregate
spatiotemporal data in each scan window. The results show that the
EWMA-based method could be more or less sensitive than the
LR-based methods depending on the chosen smoothing parameter,
size of scan window, underlying shift patterns and time ofoccurrence.

The Role of Leadership Competencies for Implementing
ISO 9000
Kem Ramdass1
1
University of Johannesburg, South Africa

The current economic distress faced by many manufacturing
companies in South Africa both large and small has forced theleadership to review business performance and implement measures
to reduce costs across all levels. However, in a well-designed study
exploring the attitudes and perceptions of senior executives to ISO
9000, Taylor [18] stated that the transition from concept to
implementation of ISO 9000 is often where senior executives fail toprovide the ISO 9000 initiative with adequate legitimacy, and fail toaddress the resource requirements, the potential benefits, themethods of measuring results and steps in the detailed planning
process. The paper aims to determine what leadership competencies
are required for ensuring commitment to implementing quality
management systems and how the level of leadership competencies
affects the extent of implementation of quality management
principles through a questionnaire using a 5 point Likert scale.

Field Data Analysis in Truck Production - a Case Study
Ralph Riedel1, Egon Mueller1
1
Chemnitz University of Technology, Germany

The early detection of systematic failures is crucial to ascertain highproduct reliability, to continuously improve products andproduction processes and thereby to achieve a high level of customer
satisfaction. Complex and global products lead to increased
difficulties for field data analysis and product evaluation. In thispaper we present an approach from the truck manufacturingindustry to link field damage data to parameters of product45

45

Session
Date
Time
Room
ChairsEngineering Economy and Cost Analysis
Tue, 11 Dec
15:30 - 17:30
S224
Linda Zhang,Jinghua Wang

Application of Robust Design Technique in SME Project
Finance: A Case Study to Calculate Optimum Set-Points
R.M. Chandima Ratnayake1, Harsha Jayatilaka2
1
University of Stavanger, Norway
2
Kempe Engineering Services (Australia) Pty Ltd, Australia

Project finance (PF) has been a key area of concern indevelopment-related lending institutions. The success of investments
on a project depends on several factors and their levels at PF
appraisal phase. A case study is carried out in collaboration with oneof the regional development-related lending institutions to calculate
the optimum set-points of control factors which affect the success of
PF. Key control factors that influence the success of project financing
were identified based on the inputs from the experienced PF
personnel in the case study lending institution. Debt service coverratio (DSCR) has been selected as a measure of projects’ performance.
The manuscript provides a methodology based on the robust design
technique to calculate optimum set-points of controllable parametersconcerning the PF for small and medium enterprises (SMEs). Also,
the manuscript provides a verification experiment based on theidentified optimum settings of the controllable factors.

Strategic Fit in Value Added Networks of Electric Vehicle
Production
Achim Kampker1, Peter Burggraf1, Carsten Nee1
1
University of Aachen, Germany

Electric vehicles are in direct competition with conventionally
powered cars. However, high prices currently result in a moderate
acceptance and low market penetration. Manufacturing companies
have to attain new competencies in electric vehicle production as
well as develop existing competencies at an early stage to be able tocreate attractive products for customers. The value chain of electricvehicle production requires cost and quality orientation as well as
scalability of production processes for the value added network
strategy. Nevertheless, designing value added networks for electricvehicle production follows no systematic approach to align thecorporate strategies of network participants to the cooperative
strategy of the network. Value added networks therefore lack astrategic fit among participants and common targets in terms of costs,
quality and scalability.

Demand Response Mechanism and Simulation Researchof Cold Storage Air Conditioner Supporting Consumptionof the Onshore Wind Power
Yu Cheng1, Su An1
1
North China Electric Power University, China

Heavy cooling load can lead to a load gap during the day and apeak-load regulation problem during the night in the area withonshore wind power installed. Fortunately, cold storage air
conditioner (CSAC) can be used as a effective demand response
resource to absorb onshore wind power. This paper establishes amixed cold storage air conditioner demand response price incentive
mechanism, in order to promote wind power storage by cold storage
system at night, and a response evaluation model of CSAC, in order
to effectively track the executive effect under different incentive
mechanisms. The simulation of the coastal areas with prominent
air-conditioning load in summer shows that when we implement
price incentive mechanism on CSAC, system load and cost of peakload regulation can effectively reduce, at the same time, wind power
can obtain a good profit.

Managing the Economic Performance of Research-driven
Initiatives in the Field of Transdisciplinary Research
Florian G. H. Behncke1, Martina Wickel1, Udo Lindemann1
1Technische Universitat Munchen, Germany

The Optimal Allocation of the Investment Capital for R&D
Projects at the Commercial Stage with the Kelly Criterion
Gyutai Kim1
1
Chosun University, South Korea

Strategic investment projects such as research and development(R&D) projects generally require a huge amount of initial capital overa long period of time. To effectively manage them, project managers
need to pay a careful and prudent attention on an economic
justification process at the outset, especially the optimal allocation of
the investment resources on them. In this paper, we propose themethodology to determine the optimal ratio of investment capital in
the R&D projects. The methodology is established based on the Kelly
criterion combined together with real options valuing (ROV) theories
for the commercial stage of the R&D projects.

Research on Life Cycle Management of Nuclear Power
Plant equipment based on Economic Analysis
Kai-kai Gu1, Jiang Guo1, Ming-shu Fan1, Ke-fei Zhang1, Lei Shi1
1
Wuhan University, China

Instead of constructing new nuclear power plant, nuclear power has
been shifted to expand the lifetime of nuclear power plant according
to the condition of safety and reliability around the world. In order toachieve the goal of life extension, it is important for the nuclear
power plants to focus on the life cycle management of criticalequipment. LEA (Life Economic Analysis), the core work of life cycle
management, is an analysis strategy to improve the usability ofcritical equipment and achieve the maximization of life value andlong period of revenue through optimizing decision-making processof critical equipment. In this paper, a calculation method of theequipment failure rate based on the three-parameter Weibull
distribution model is given. Ensuring the premise of reliability andsafety, the economic analysis of the model is proposed to optimize
the cost. Finally, based on the model of economic analysis, the paper
takes an equipment of 60-year life cycle management as an example
to verify the feasibility of the economic analysis model.

Injection Mold Replacement Analysis in Automotive
Industry
Tanasak Suwannabool1, Daricha Sutivong1
1Chulalongkorn University, Thailand

Injection mold replacement decisions in the automotive industry areusually made by managers and engineers, who based primarily on
their own experience. This paper presents an injection moldreplacement analysis through the use of stochastic dynamic
programming and benchmark from the case study. The algorithm
determines a optimal production volume and age that give theminimum expected cost under time constraint. The solutions arepresented as a decision chart for easy application and interpretation.

Service Provision, Subsidies and Revenue Maximization in
Multitier Communities
Hailing Zhu1, Mbuyu Sumbwanyambe1, Andre L Nel1
1
University of Johannesburg, South Africa

One of the main aims of institutional frameworks of developing
countries is to increase universal access to Information andCommunications Technologies (ICT) services through subsidized
communication services. However, subsidies may have severe
consequences on service provision and revenue maximization. Thisphenomenon calls for a combined study to investigate therelationship between service provision, subsidy and revenue
maximization in the presence of user heterogeneity. In this paper, weconsider a situation, in which the non-subsidized users andsubsidized users share the same network. Furthermore, we propose a
differentiated service model coupled with a subsidy driven pricing
scheme that will effectively fulfill government objectives of universal
access while maximizing revenue for the USO ISPs. We show that, by
taking into account how the users value the subsidized service, theproposed service differentiation system can achieve an effective
network utilization and prevent the tragedy of the commons.

The economic performance determines the competitive position of acompany. Companies providing product-service systems arechallenged by the transdisciplinary character of derived initiatives.
This aggravates the management of the economic performance of thedifferent initiatives. Based on established approaches of performance
management (Balanced Scorecard), the paper derives an enhanced
economy framework for the management of the economic
performance of research-driven initiatives in the field oftransdisciplinary research.

46

46

Session
Date
Time
Room
Chairs

Production Planning & Control (1)Tue, 11 Dec
11:00 - 12:30
S225
Akihiko Nagai, Junqiang Wang

Constructing Generic Processes based on Tree Unification
for Process Family Planning
Linda Zhang1
1
IESEG School of Management, France

Planning process families in relation to product families has been
well recognized as a promising approach to achieving production
stability and efficiency, where diverse customized products are
involved. As with generic products accommodating product family
design, generic processes facilitate process family planning in
producing the corresponding product families. In view of the factthat a production process is commonly represented as a tree, thispaper puts forward an approach based on tree unification to
construct generic processes from large volumes of data existing incompanies’ databases. The preliminary results of applying the
proposed approach to electronic products have demonstrated thefeasibility and potential of constructing generic processes based ontree unification.

Batch Optimization Algorithm for Autoclave Curing ofFiber-Reinforced Composites
Tobias Philipp1, Thorsten Klein1, Gunther Reinhart1
1
Technische Universitaet Muenchen, Germany

Composite materials in terms of fiberreinforced plastics (FRP) areused as lightweight materials in various products for example
airplanes or helicopters. The manufacturing of high performancecarbon fiberreinforced plastic (CFRP) parts in the aeronautics
industry often relies on preimpregnated fibers (prepregs) which are
cured in an autoclave. In this context, the production output mainly
is determined by the autoclave being a bottleneck in production. To
address this issue, we present a novel approach to model a batch
optimization problem in the context of composites manufacturing
and then introduce a batch optimization algorithm based on theprinciple of a genetic algorithm. Furthermore, a simulation study,
which is used to assess the performance of the proposed algorithm, is
described.

Approach for an RFID-based Situational Shop Floor
Control
Philipp Engelhardt1, Gunther Reinhart1
1
Technische Universität München, Germany

Manufacturing companies act in a turbulent environment, which is
caused by the global shift from seller markets to buyer markets. The
production is characterized by a high variety and the demand forshort delivery times. In this context, shop floor control becomes more
and more important. However, current shop floor information,
which is indispensable for a targeted execution of the purposes ofshop floor control, is often not available. The RFID (Radio Frequency
Identification) technology enables an adequate and situational shop
floor control. For that reason, this article describes an approach thatenhances for a systematical configuration and a situation-dependent
execution of an RFID-based situational shop floor control.

21st Century Operational Excellence: Addressing the
Similarities and Differences between Lean Production,
Agility and QRM
Daryl Powell1, Jan Ola Strandhagen1
1
Norwegian University of Science and Technology, Norway

For many years companies have attempted to improve their
manufacturing operations in a view to achieving Operational
Excellence. As such, several models for Operational Excellence havebeen constructed, particularly the Shingo Prize. However, suchmodels are very much focused on the approach and working
practices associated with Lean Production and JIT. As the global
market place evolves, consumers are demanding more customized
products with shorter life cycles. This has introduced an array ofchallenges for the producers that were once able to benefit from JIT
production of high volume, low-variety products. In this paper, we
review literature on developments in Lean and Operational
Excellence in order to develop a framework for 21st Century
Operational Excellence, in which we integrate elements from the
Quick Response Manufacturing- and Agile Manufacturing
paradigms with the Lean movement. We illustrate the applicability of
our framework with the use of practical insights from three casestudies.

Operations Scheduling in Make-and-Pack Production:
Schedule Construction and GA-based Priority-Rule
Generation Procedures
Philipp Baumann1, Norbert Trautmann1
1
University of Bern, Switzerland

Make-and-pack production processes are vital to, e.g., the consumer
industry or the pharmaceutical industry. Production facilities used
for such processes can be divided into a make stage, a pack stage,
and a set of storage tanks which decouple the two stages. In
operations scheduling, complex technological constraints must thenbe considered, e.g., non-identical parallel processing units,
sequence-dependent changeovers, batch splitting, material transfer
times, minimum storage times, and finite storage capacity. In thispaper, we present an effective and generic heuristic for operations
scheduling in such production processes. The heuristic consists of agenetic algorithm for generating priority rules which are used to sortthe operations to be scheduled, and a scheme for scheduling theoperations in the devised order. Our computational results for a
make-and-pack production process from the consumer industry
indicate that this heuristic outperforms the state-of-the-art solution
methods.

Modeling the Master Production Scheduling System with
Downgraded Products for a TFT-LCD Module Factory

Chun-Cheng Lin1, Jia-Rong Kang1, Wan-Yu Liu2, Shu-Hsing Chung1,
Kai-Shin Chou1
1
National Chiao Tung University, Taiwan
2
Aletheia University, Taiwan

At the end processes of TFT-LCD supply chain, the LCM module
factory takes charge of the process of assembling products, and its
production planning needs to consider various products withdifferent graded TFT-LCD panels while meeting customers’ specificqualifications, including lowest acceptance rates for quality andzero-bad-defect quantity. Since the machine setup time of thebottleneck workstation in the factory is very long, it is of practicalimportance to design an appropriate production scheduling withconcerns about times of machine setups and different grades of
TFT-LCD products. This paper proposes a production schedulingsystem that comprises the material planning with downgradedproducts as well as the bottleneck scheduling for a LCM module
factory using make-to-stock production, and solves the system basedon integer programming. Experimental results show that the system
not only is capable of reducing the number of setup times, but also
performs well in efficiency of preparing critical materials. From apractical aspect, such a system can support production managers toplan their production scheduling effectively.

47

47

Session
Date
Time
Room
Chairs

Production Planning & Control (2)Tue, 11 Dec
13:30 - 15:00
S225
Carman Ka Man Lee, Chang Liu

New Entropy Weight-Based TOPSIS for Evaluation ofMulti-objective Job-Shop Scheduling Solutions

Junqiang Wang1, Jian Chen1, Ting Qu2, George Huang2, Yingfeng Zhang1,
Shudong Sun1
1
Northwestern Polytechnical University, China
2
The University of Hong Kong, Hong Kong

Facing with an obtained set of Pareto solutions on multi-objective
job-shop scheduling problems, its core issue is how to evaluate thebest-compromise solution from these non-dominated solutions for
decision maker. TOPSIS as a multi-criteria decision making method
is introduced into the evaluation of these Pareto solutions. The
traditional Entropy weight approach used to calculate the weights ofeach criterion fails to faithfully transform the information from the
Entropy value to Entropy weight, and an abrupt change of Entropy
weight arises while facing with a very slight change of Entropy
values when these Entropy values are close to 1. To address them, a
new transformation formula from the Entropy value to Entropy
weight is proposed to not only heritage the originally good
performance but also make up the existing deficiency. Finally, theresult of an illustrated example shows that the feasibility andaccuracy of the proposed approach.

An Artificial Immune Based Algorithm for
Parallel-machine Scheduling with Preference of Machines
Ching-Jen Huang1, Li-Man Liao1
1
National Chin-Yi University of Technology, Taiwan

In this paper, an artificial immune based algorithm (AIA) is proposedfor production scheduling of aluminum foil factory. The objectivefunction is to minimize the total tardiness. The AIA algorithm has asystematic immune mechanism which mainly is built on the clonal
selection and affinity maturation principles of the immune system.
Machine-based encoding method is used and earliest due date (EDD)
rule is applied to find the better initial antibodies. The antibodies arethen separated into memory or suppressive cells by affinity, and the
suppressive cells will be eliminated based on the concentration level.
Further, crossover and mutation techniques are used to construct
antibody proliferation mechanism to obtain superior antibodies. To
avoid falling into local optimal solutions, receptor editing
mechanism is applied to suppress the worse antibodies andaccelerate solution convergence.

A Multi-Agent Based Rescheduling Framework for
Mixed-Model Assembly Line Balancing
Li-Man Liao1, Ching-Jen Huang1
1
National Chin-Yi University of Technology, Taiwan

In general, company responds to customers’ diversified needs, thenecessity to make production system more versatile and flexible. The
assembly line must change from fixed assembly lines tomixed-model assembly lines (MMAL). Because an assembly line is
dynamic, and when system disturbance occur, rescheduling isnecessary to adjust or regenerate an effective feasible schedule. For
maximizing the productivity of the dynamical MMAL, the paper
develops a decentralized framework using multi-agent system toreschedule MMAL balancing problem when unexpected disturbanceoccurred. A three-level multi-agent system is constructive, andintegrates dispatching rule and meta-heuristic techniques. In
scheduling stage, two criteria are simultaneously considered for
optimization: to minimize the number of workstation for a given
cycle time, and to maximize the workload smoothing. In eachrescheduling stage, schedule is generated using a meta-heuristic thatallows two objectives, efficiency and stability, to be balanced.

A Finite Economic Production Quantity Model with TwoImperfect Modules

Dah-Chuan Gong1, Gary C. Lin2, Kai-Xun Zhuang3, Pei-Han Lee3
1
Chung Yuan Christian University, Taiwan, National University of Singapore,
Singapore2
Bradley University, United States
3
Chung Yuan Christian University, Taiwan

In this paper, we consider an Economic Production Quantity (EPQ)
model where items are manufactured at an imperfect production
system over a finite planning horizon. During a production run, theproduction system is dictated by two unreliable key modules (KMs)
that may shift from an in-control state to an out-of-control state dueto three independent sources of shocks. Four states O, A, B, and AB
represent the changes either before or after the occurrences of theseshocks. State O means both KMs are in-control. Contrarily, state ABmeans both KMs are out-of-control. Once a key module shifts to an
out-of-control state, certain amount of defects will be generated. A
mathematical model is developed to react to the above situations.
The concerned objective is to find the number of production runs thatminimize the expected total costs consisting of setup, holding, anddefective costs.

The Significance of Serendipity in New Market Creation
Akihiko Nagai1, Takayuki Ito1
1
Nagoya Institute of Technology, JapanThe word serendipity means the accidental finding of potential orinvisible needs without looking for them. In case studies, serendipity
created new markets. Potential needs is exposed only part of like aniceberg. To obtain business opportunities, business creators must
uncover the buried potential needs. If an entrepreneurial businesscreator can fully uncover potential needs, this will lead toopportunities for new market creation.

Combined Economic and Emission Dispatch Using
Harmony Search and Genetic Algorithm
Yun-Chia Liang1, Josue Cuevas1
1Yuan Ze University, Taiwan

The difficulty incurred when solving the Economic and Emission
dispatch (ED/MED) problems increases when the combined version(CEED) of the two aforementioned cases is considered. In this papera new approach for solving the CEED is proposed, where anormalization of the objective function prevents units and scaledifferences between the ED and MED. The mathematical model is
optimized using two well-known meta-heuristics, Genetic Algorithm(GA) and Harmony Search (HS). A nonlinear optimization tool for
MATLAB (TOMLAB) is used to confirm the efficiency andeffectiveness of the proposed algorithms. Three approaches arecompared when solving the ED, MED and the CEED, where acomprehensive statistical study is performed. From the test instance,
it was observed that the proposed method shows to be feasible, andalso helps the algorithms in optimizing the CEED problem achievinga result that is close from that coming when solving the ED and MED
separately.

48

48

Session
Date
Time
Room
Chairs

Production Planning & Control (3)Tue, 11 Dec
15:30 - 17:30
S225
Dah-Chuan Gong, Yun-Chia Liang

Research on Dynamic Dispatching Rule for Semiconductor
Assembly Production Line
Chang Liu1, Hai-Zan Chen2, Yuan Rong3, Jun Zhu2
1
Wuxi CAS Ubiquitous Information Technology R&D center Co.Ltd,Shenyang
Institute of Automation, China
2
Chinese Academy of Sciences, China
3
Massachusetts Institute of Technology, United States

We propose a dynamic dispatching rule for semiconductor assembly
production line based on the current mainstream dynamic
dispatching rules. In particular, our dispatching rule considers batch
dispatching. Evaluated through simulation, we confirmed theeffectiveness of this dispatching rule and provided additional
operational insights for actual production system.

A Data Envelopment Analysis Approach to Resource
Efficiency Evaluation
Jenny Xu1, Siddharth Goutam1, Xun Xu1, Shane Xie1
1
University of Auckland, New Zealand

Resource efficiency is an important factor to consider in resource
management and production planning. This paper extends on thesystem framework introduced in our previous work and outlines a
Data Envelopment Analysis based approach for resource efficiency
evaluation. The concept of Decision Making Units (DMUs) is applied
to manufacturing resources and the efficiency of a DMU is measured
relative to similar DMUs in order to estimate the best practice frontier.
This approach allows management to gain a better understanding of
the relative performing efficiencies of their resources and helps them
to facilitate necessary training actions and optimize resource
utilization. A case study is carried out in industry to validate theperformance of the proposed efficiency evaluation method.

Simulation Aided Disturbance Management in
One-of-a-kind Production on the Assembly Site
Robert Wandt1, Axel Friedewald1, Hermann Lödding1
1
Hamburg University of Technology, Germany

Organizing one-of-a-kind production (OKP) at assembly sites isalways a big challenge, especially in shipbuilding industry due to thehigh complexity of the product and the large number of different
parts. In manufacturing, various types of uncertainties anddisruptions influence production planning, scheduling and control indaily operations. This paper presents a concept for analyzing andmanaging disturbances in a systematic way. The method combines
process simulation and Virtual Reality in one business process andthus helps a planner to choose the best adjustment of the production
plan to deal with a disturbance. Testing the concept by simulating
different disturbance scenarios shows a promising impact of theconcept in managing these. The presented concept is capable ofdealing with disturbances in the complex field of organizing OKP
production. It decreases the necessary effort dealing with these andhelps the planner.

Solving the Problem of Product-Conversion in
Semiconductor Assembly and Test Manufacturing System
by a Novel Heuristic Scheduling Algorithm
Li-li Yao1, Hai-bo Shi2, Chang Liu2
1
Graduate University of the Chinese Academy of Sciences,Shenyang Institute ofAutomation,CAS, China
2
Wuxi CAS Ubiquitous Information Technology R&D center Co.Ltd,Shenyang
Institute of Automation, China

In this paper, a novel heuristic scheduling algorithm is proposed tosolve the problem of product conversion in semiconductor assembly
and test manufacturing （ ATM ） system. The phenomenon of
product-conversion is frequent and takes a lot of time in ATM
enterprise. In order to reduce the frequency of product-conversion
and minimize the conversion time in product-conversion station, thenovel algorithm has predicted and limited the number of thepermissible assigned machines for each type of products according to
the processing conditions before scheduling; and takes processing
conditions as the priority principle of assignment in the follow-up
process; in addition, the algorithm sets up a decision-making
mechanism when the machine should convert the product. Finally,
comparing the algorithm with two traditional methods, the results
show that the scheduling using the novel algorithm has an obvious
advantage, it improves the utilization rate of equipment andproductiveness.

Deterministic Joint Replenishment Problem with Multiple
Restriction: A Lagrangian Relaxation Approach
Amit Kumar Gupta1, R R K Sharma1
1
Indian Institute of Technology Kanpur, India

The joint replenishment problem (JRP) is about deciding thereplenishment cycle and the lot size of each item in a multi-item
scenario so that the sum total of inventory carrying cost and ordering
cost (major and minor) is minimized. The existing research is mostly
confined to development of Algorithms, heuristics and bounds on
basic replenishment cycle time for the classical JRP. Very few works
are available on the JRP with constraints like capacity (storage andproduction), capital, and so forth. In this paper we have developed
an efficient Lagrangian based heuristic for providing a good solution
to the JRP with the constraints on storage capacity and capital
investment on each item. We have found that our proposed
algorithm gives a better solution compared to the best known
method reported in the literature.

Optimization of Manufacturing Planning and Control
Systems in Highly Dynamic Environments using Bernoulli
Theorem
Johannes Mapokgole1, Tengen Thomas1
1
Vaal University of Technology, South Africa

In any dynamic manufacturing enterprise, production is the driving
force or element to which other critical functions react upon. Amongother elements, inventory exists because of the needs of production.
Manufacturing systems are known for their unevenness production
flow between workstations that results in bottleneck operations.
Bernoulli’s principle is employed to address situation like production
bottlenecks. This delineates the relationship between manufacturing
planning and control and available capacities. Existing
manufacturing planning and control framework is analyzed and a
new framework is proposed that gives attention to decisions withrespect to the aggregation and abstraction of information on
resources, orders, etc. Proposed framework serves as a starting point
during production scheduling activities. Unlike Bernoulli’s principle,
this study proves that the slower the rate of production flow, thelower the pressure, and the faster the rate of production flow, thehigher the pressure.

A Multi-Crop Production Planning Model for Hydroponic
Systems With Nutrient Mix Reusability
Haniel Chua1, Francis Ramirez1, Kyle Sy1, Dennis Cruz1
1
De La Salle University, Philippines

Hydroponics is a more efficient and sustainable method to thegrowing food production problems. Its benefits include a faster
harvest, significantly more yield, and food can be grown in nonarable.
However, the main challenge is to establish and maintain acommercial hydroponic system large enough to significantly
produce food given that it is technically difficult and very costly, withnutrient costs identified as the largest cost contributor. Using GAMS,
a commercial hydroponic system, expensive and technical, is
optimized; the output in the form of a production schedule for theoperators, gives ease in implementation. With the results, thesignificant variables were identified as the nutrient expiration, tablecapacity, and the weight increment of crops. Using the model
algorithm, the system shows a total cost reduction by 32.17%. With
the significant reduction in cost, it makes food production for urban
areas a possible reality and a significant step toward sustainableagriculture.

Bi-objective Simulated Annealing and Adaptive Memory
Procedure Approaches to Solve a Hybrid Flow Shop
Scheduling Problem with Unrelated Parallel Machines

Hmid Mohammadi1, Rashed Sahraeian1
1
Shahed University, IranIn this paper, a novel hybrid flow shop scheduling problem with respect
to the both objectives of total setup time and cost is investigated. Since theproblem is NP-hard, we focus on suboptimal scheduling solutions for the
hybrid flow shop with unrelated parallel machines, sequence andmachine-dependent setup time, eligibility constraint and release time. In
this research, total sequence and machine dependent setup time and cost
are used as the objective functions. We present a multi-objective simulated
annealing (MOSA) and an adaptive memory procedure (MOAMP) in
order to find a set of non-dominated solutions. The problem solved withdifferent number of jobs and stages using MOSA and MOAMP algorithms.
Computational results showed that the proposed MOAMP approach ismore effective and efficient than the simulated annealing algorithm interms of reduced setup criterions for the attempted problem.

49

49

Session
Date
Time
Room
ChairsManufacturing Systems (1)Tue, 11 Dec
11:00 - 12:30
S226
Jiping Lu, Muthu Mathirajan

A Multi-objective Biogeography-based Optimization for
Mixed-model Two-sided Assembly Line Balancing with a
Learning EffectRonnachai Sirovetnukul1, Uamporn Jansame2, Parames Chutima2
1
Mahidol University, Thailand
2
Chulalongkorn University, Thailand

The biogeography-based optimization (BBO) algorithm is applied toa mixed-model two-sided assembly line balancing problem with alearning effect (M2SALB-L) of type 1 to optimize multi-objectives
including minimize the number of mated stations, minimize thenumber of workstations, minimize work relatedness and minimize
workload variation between workstations. The results demonstrate
clearly that BBO with local search (BBO-LS) is a rival algorithm tosolve this problem on multi-objective performance measures. Due tothe local search the CPU times of BBO-LS are greater than BBO andDiscrete Particle Swarm Optimization (DPSO), but are significantly
less than Non-dominated Sorting Genetic Algorithm-II (NSGA-II).

The Study Wood Furniture Which Made of Fast Growing
Wood Specie of Azadirachta exceisa (Jack) Jacobs. for
Wood Industrial Standard by Finite Element and Design
Analysis of Experiments
Sakkarin Choodoung1, Chalermpon Buttard1
1
King Mongkut's University of Technology North Bangkok, Thailand

This study is the research in application of finite element analysis
program in Neem-Wood (Azadirachta exceisa (Jack) Jacobs.)
furniture testing for industry standard which is the cost reduction in
manufacturing process and testing standard under destructive
approach. This study begins with Neem-Wood joint testing as astudy case then continued with design and develop of sample
Neem-Wood furniture with finite element analysis. After that, thestudy produced the sample furniture with Neem- Wood for strength
test then performs a comparative analysis with both results. The
study result indicates that the test of wooden pivot making of
Neem-Wood as a study case shows appropriate strength for using infurniture manufacturing. Therefore, wooden pivot length in
Neem-Wood joint significantly affects strength with 95% confidence.
For strength analysis after finished as furniture, the finite element
result shows the same result as destructive testing for export
standard. In conclusion, this study can apply finite element analysis
with strength test leading to standardized furniture manufacturing.

Analysis of Assembly Sequence for Effective AssemblyPlan of Wooden Furniture
Sakkarin Choodoung1, Uttapol Smutkupt2
1
King Mongkut's University of Technology North Bangkok, Thailand
2
Chiang Mai University, Thailand

This study aims to design and develop a tool to find an appropriate
assembly sequence plan for wooden furniture industry. According to
the research result, the wooden furniture has different process ofassembly than other industry such as glue applying, feeding andfitting, glue pressuring and excessive glue removing. Moreover, there
are 2 crucial time period which are open assembly time and close
assembly time. In addition, open assembly time should less than 2-3
minutes but will be 1-1.5 hours for close assembly time depending onglue components and wood type. Thus, the traditional analysis using
individual part insertion is extremely unsuitable. As a consequence,
this study created a chart table to help planning sequence of assembly.
The chart table provides properness level of a assembly sequence.
Moreover, the study has developed and/or graph which is able toappropriately analyze multiple parts combination in some ofassembly sequence.

probability of a link between each product and each component isused to study the impact of the events. The costs are calculated foreach of the events when there is either a product with a high shortage
cost or a component with a high holding cost. These costs are used in
an example to show how different events yield different costs indifferent ways in a sparse or in a dense ATO network. The
combination of component loss with a demand increase gives
typically the highest costs when it is compared to other events.

The Role of Total Productive Maintenance in
Manufacturing Firms: A Review

Kam-Choi Ng1, Gerald Guan Gan Goh2, Uchenna Cyril Eze3
1
Infineon Technologies, Malaysia
2
Multimedia University, Malaysia
3
Monash University, Malaysia

In any manufacturing firm, machine and equipment should be
operating at full capacity all the times. Total productive maintenance(TPM) is a well known and very useful approach, which allows
manufacturing firms to attain near ideal conditions with zero
downtime, zero defects and zero accident. One of the approaches toimprove the production performance is to develop and implement
total productive maintenance, which is an excellent manufacturing
strategy that holds the potential for improvements in overall
equipment effectiveness (OEE). The main findings of a review ofthe extant literature reveal key contributions and effectiveness of
successful TPM implementation such as improved equipment
efficiency, improved overall operation cost, improved overall
equipment effectiveness and equipment throughput, improved
product quality, improved organization performances, improved
teamwork across cross functional areas, improved plant productivity,
improves production 5S, reduced equipment breakdown andimproved equipment availability can be realized by firms.

Critical Success Factors for MES Implementation in China
Huasheng Yang1, Li Zheng1, Yi Huang1
1
Tsinghua University, China

Manufacturing execution system (MES) is becoming more and more
important nowadays and more and more manufacturing enterprises
in China are adopting MES. Hence, to improve the success rate of
MES implementation is critical for enterprise. However, the study ofthis topic is still at the nascent stage and many firms find it difficult
to implement MES effectively, especially they cannot make sure theimplementing success. The paper examines relevant literature to
identify the special critical successful factors (CSF) in MES
implementation in China, based on Chinese special culture and thecharacteristics of MIS implementation in China which are quite
different from those in western countries.

How Dose Product Innovation Help New Firm Growth:
The Moderating Effects of Knowledge from Demand Sideand Business Environment
Chaoqun Zhang1, Xiaobo Wu1
1
Zhejiang University, China

Product innovation is of great importance to new firms. However,there is no a consensus on its effects on firm performance. In thispaper, we introduce two kinds of approaches to tackle this issue. One
is decomposing the construct of new product. The other one is
introducing contingent factors, including technical and application
knowledge from demand side and environmental factors. Our results
are a series of propositions upon these considerations.

Robustness of Assemble-to-Order Systems against
Unexpected Events
Henri Tokola1, Esko Niemi1
1
Aalto University, FinlandThis paper studies the robustness of different ATO systems against
unexpected events occurring without any prior knowledge of them,after the components have been ordered. The unexpected events
considered are changes in demand, the loss of a component, and a
production limit. A single-event assemble-to-order model with the50

50

Session
Date
Time
Room
ChairsManufacturing Systems (2)Tue, 11 Dec
13:30 - 15:00
S226
Ronnachai Sirovetnukul, Jiping Lu

Reconfigurable Mixed Model Assembly Line Design in a
Dynamic Production Environment
Dida Damayanti1, Isa Setiasyah Toha2
1
Telkom Institute of Technology, Indonesia
2
Bandung Institute of Technology, Indonesia

A mixed model assembly line is generally designed to produce acertain production mixed and volume that is assumed to be steadyfor a long period. As a result, the line performance tends to decline
by some fluctuations in production demand. In a dynamic
production environment, an assembly line configuration andproduct sequence may need to be revised every time the demandchanges to keep the line efficient. However, frequent or radical
reconfiguration of the line could be costly; the change of the line
configuration and product sequence should be optimized. This paper
presents a model of a reconfigurable mixed model assembly line
design in a dynamic production environment. The model isformulated in a non linear integer programming formulation thatminimizes total cost of assembly line reconfiguration for a
multiple-period. Numerical example of the model shows theapplication of the model and yields a reconfigurable mixed model
assembly line.

Deconstructing Emerging Business Ecosystems:
Explorations of the Chinese Electric Vehicle Industry
Tianjiao Shang1, Yongjiang Shi1
1
University of Cambridge, United Kingdom

The purpose of this research paper is to extend business ecosystemtheories into the emerging industries, through conducting multiple
case studies with firms along the supply chain of the Chinese Electric
Vehicle Industry, as well as the policy makers and associatedindustrial players. The constructive elements of the emerging EV
business ecosystem have been identified, such that the businessecosystem is divided into four sub-sections: 1)Supply, 2) Interface, 3)
Demand, and 4) Support. Theoretically, this paper has contributed byenriching Moore’s Business ecosystem. In Practice, this research isable to shed light for industrial players in providing a comprehensive
picture of the overall ecosystem that they are situated in, which
would allow them to gain a deeper understanding of the macro
milieu that often impact their businesses significantly.

A New Decision Making Approach for the Formation ofHolonic Agent-based Manufacturing Networks
Guiovanni Jules1, Mozafar Saadat1, Nan Li1
1
University of Birmingham, United Kingdom

The research paper presents the methodology used to develop
decision algorithms for order holons. Two algorithms are presented
in this paper. The algorithms model an actual job allocation system
and a conceptual one for the formation of networks of manufacturers.
The first algorithm is derived from an industrial case study. The
second algorithm exploits the use of multiple flexibility parameters
to improve the performance of the job allocation system on quality,
cost and delivery time. Multi-agent system (MAS) and discrete
event simulation constitute the methodology which allows the twoalgorithms to be run in a verified and validated environment. The
results of the simulation show that the second algorithm outperforms
the first algorithm on network conformance reliability, production
cost and order delivery times. Eventually, the methodology will be
developed to test the algorithms in the market conditions of a volatileenvironment.

The Hybrid Manufacturing Cell: Determining Key
Parameters in the Integration of Powder Bed Fusion withHigh Speed Milling
Vegard Brotan1, Klas Magnus Bovie2
1
Norwegian University of Science and Technology , Norway
2
SINTEF Raufoss Manufacturing AS, Norway

limitation can be avoided by combining AM of the complex sectionsof the product with traditional high-speed machining of the more
massive and geometrically simple sections into a hybrid
manufacturing solution. However, hybrid manufacturing is acomplex process, and there are several crucial points that have to beunder control in order to receive the full benefits of an integratedfunctionality. This paper presents a method to determine the key
variables and constants necessary for the integration of a powder bed
fusion machine with a high-speed milling machine into a hybrid
manufacturing cell.

Linking Strategic Goals with Operational Performance: An
Integrated Approach
Antonio Almeida1, Daniel Politze2, Alvaro Caldas1, Americo Azevedo1
1
INESC TEC, Faculdade de Engenharia da Universidade do Porto, Portugal
2
ETH Zurich, Switzerland

Due to the increasing globalization and the current economic
situation, the power has shifted from the producer to the costumer,
which forces companies to become more aware of market needs. To
capitalize business opportunities, manufacturing organizations needto improve their business processes and operations in order tobecome more flexible, manage shorter product life cycles and thus
please their customers by continuously adapting to meet the needs
and expectations of the market.
Hence, in order to gain competitive advantage, decision makers havebecome increasingly interested in investing in new approaches
capable of supporting companies so that they can integrate strategicand operational perspectives. The aim is for them to be able tocontrol their production systems in a more proactive way.
Therefore, this paper intends to explore a new integrated strategic
performance management approach, capable of supportingorganizations in achieving World-Class Manufacturing Excellence ina more proactive way.

Performance Modeling of Reconfigurable Manufacturing
System for Different Dispatching Strategies Under
Exception
Faisal Hasan1, P.K Jain1, Dinesh Kumar1
1
Indian Institute of Technology Roorkee, India

The paper presents the performance modeling of a hybrid system
like RMS comprising of dedicated and reconfigurable machines. The
modeling focuses on handling of exceptional situations which arises
when there is a breakdown of any resource within the system. The
dedicated machines are subjected to random failures, upon failure
the jobs are transferred to the reconfigurable machines after suitable
reconfiguration to carry out the sequential operation required on thejob. Two different production scenarios, first, operation of the systemover some predetermined period of time and, secondly, operation of
the system for a fixed quantity of products were simulated. Threedifferent dispatching strategies for reactive scheduling of parts based
on total average waiting time in queue, total downtime of the failed
machine and capacity of the buffer between the machines wereanalyzed. The performance of the system was analyzed in terms of
productivity, congestion and make-span time.

Reactive Scheduling for Non-disruptive Job Processing
Against Machine Breakdowns
Wan-Ling Li1, Muhammed Hafidz Fazli 1, Tomohiro Murata1
1
Waseda University, Japan

This paper proposes a novel mathematical model for reallocation ofpending jobs and dynamic scheduling to maintain the productivityof cellular manufacturing (CM) under machine breakdowns. In realworld, manufacturing systems may face unexpected machine
breakdowns; however, they must be required to fulfill varied
production targets in each production period. This paper presents
effectively reactive scheduling has the ability to recently overcome
performance deterioration factor that is the critical problem.
Numerical experiments are presented to demonstrate theeffectiveness of the proposed model by applying it to CM problems
of unexpected machine breakdowns.

Additive manufacturing (AM) technology is highly efficient for
producing complex object geometries such as bespoke lattice
structures or internal channelization in the product. However the
principle of building objects by the successive addition of material
makes the production of large and massive objects time consuming,and therefore also an expensive operation. For metallic materials, this51

51

Session
Date
Time
Room
ChairsManufacturing Systems (3)Tue, 11 Dec
15:30 - 17:30
S226
Yong-Zai Lu, Ronnachai Sirovetnukul

The Robust Scheduling Solutions for Parallel Machine
Systems Under an Uncertain Environment
Xuanhao Zhou1, Yong-Zai Lu1
1
Zhejiang University, China

While making decisions under uncertainty, min-max regret criteria iswidely used to evaluate the robust characteristic of solutions formany combinatorial optimization problems. Particularly in the fieldof scheduling, R. Montemanni et al. first investigates a version of
single machine scheduling problem where one type of uncertainty,
namely the uncertain processing times for each job specified as arange of possible values, is taken into account. In this paper, we firstextend that idea to the parallel machines case which is moresignificant to the production industries but also more difficult tohandle due to its complexity characteristic. To address it, the robust
parallel machine schedule model with objective to minimize
maximal robust deviation on the total flow time is proposed here.
Meanwhile, we provide an efficient preprocessing procedure to boost
the speed of optimization. Computational results are finallypresented to show the validity of this method.

Study on the Layered Predictive Control Algorithm for theMain Steam Temperature of Ultra-supercritical Units
Shihe Chen1, Wenkai Hu2, Xin Li2
1
Guangdong Electric Power Research Institute, China
2
Wuhan University, China

Aiming at the main steam temperature control problem ofultra-supercritical units under variable loads conditions, a predictive
PID control algorithm with layered structure is proposed. The
cascade PID control is applied in the lower circuit which can realize
the application in DCS system through configuration language
programming. The generalized predictive optimization is applied in
the upper circuit which is used to conduct PID parameter setting
instead of control engineers. By introducing least square methodwith forgetting factor recursive, the model parameter identificationin rolling window is realized and the PID parameters tuning
optimization model with predictive index is established. The
simulation results show that the proposed algorithm can adapt to themodel change process of the controlled object of main steam
temperature and is qualified with strong stability and robustness.

Optimization of Power Station Boiler Coal Mill Output
Based on the Particle Swarm Algorithm
Yanjun Fang1, Xiaojie Qin1, Yuan Fang1
1
Wuhan University, China

For the rapid response of coal mill to output changes in the case ofultra-supercritical units frequently changing load, in this paper, acoal mill output optimization model has been proposed and an
improved PSO algorithm has been optimized. The state of start andstop of coal mill and operation combination have been obtained
when the unit loads change through simulation. The obtained
start-stop combination of coal mill can meet the basic requirements ofthe coal mill output when the unit runs, which thus has decreased
the energy consumption in the case of the coal mill low output andimproved the efficiency of the coal mill. The result of this paper canadapt to changes of peak load regulation unit peakload regulation
unit and has a great promotional value.

Lean Manufacturing in Textile Industry of Pakistan
Ali Husnain Rabbani1, Muhammad Asim2
1
National University of Sciences and Technology, Pakistan
2
Center For Advanced Studies In Engineering, Pakistan

The objective of this research is to analyze how much leanmanufacturing techniques are implemented in the textile industry of
Pakistan. Our sample includes the textile mills of Pakistan in
Rawalpindi/ Islamabad and Rahim Yar Khan Region. We conductedsurveys through questionnaires, taking the sample size of 70 which
involves the the owners/managing directors, senior management andemployees in the textile mills. Correlation analysis was done to findthe relationship between lean manufacturing and the dimensions.
The results show that the Pakistani textile mills have not fully
adopted lean practices. There is need to create more awarenessregarding benefits of lean manufacturing among textile mills. This

paper will help to do further research regarding the causes of failurein adopting lean practices in textile mills of Pakistan.

Scheduling a BPM with Incompatible Job-Families andDynamic Job-Arrivals
Muthu Mathirajan1, M Vimalarani1
1
Indian Institute of Science, India

This study addresses the scheduling of a diffusion furnace, a Batch
Processing Machine (BPM) with dynamic job-arrivals, andincompatible job-families with the objective of minimizing total
weighted tardiness (TWT). Due to the computational intractability, a
few variants, based on the EDD, CR, ST, and different versions of
ATC dispatching rules, of a greedy heuristic method (GHM) areproposed. A series of computational experiments carried-out
indicated that one of the variant of the ATC rule has excellent
performance in comparison with an estimated optimal solution.

Characteristic Simulation of High Pressure Common Rail
Pipe
Jiping Lu1, Fan Hongli1, Wang Lianhong2, Song Hao1, Pan Yong1
1
Beijing Institute of Technology, China
2
China North Engine Research Institute, China

A simulation model of high pressure common rail system isestablished based on FLUENT. By setting up the appropriate
boundary conditions, in which the standard turbulence model andthe SIMPLE algorithm are selected. The paper simulates andanalyzes that how the structural parameters of the rail pipe,
including slip size, chamfer at the cross-hole, and wall roughness,
affect the hydraulic stability of the rail pipe. The simulation results
provide the theoretical basis for the design of the high-pressurecommon rail.

Integration of Sustainability and Mass Customization:
Proposal of a Framework to Map Research Open Issues
Golboo Pourabdollahian1, Mahnoosh Zebardast1, Marco Taisch1
1
Politecnico di Milano, Italy

Mass customization as one of the solutions for recent market requests
for individualized products and sustainability as one of thenecessities driven by international and local pressure along withrecent individuals’ awareness create this perception that in near
future an enterprise should be able to follow both concepts
concurrently to be competitive. Accordingly this study initiates toinvestigate more in depth the competitiveness of firms through theparadigm known as sustainable mass customization by developing a
research framework to elicit open issues of this novel paradigm. The
current research is based on a broad literature review on both topics
trying to highlight required research directions for successful
implementation of sustainable mass customization.

Deciphering Business Ecosystem Capabilities of theEmerging Electric Vehicle Industry
Tianjiao Shang1, Feifan Chang1, Yongjiang Shi1
1
University of Cambridge, United Kingdom

The aim of this paper is to propose a comprehensive researchframework seeking to decipher the evolutionary development ofemerging business ecosystems and to identify the necessary strategic
capabilities which enable the transformation of business ecosystems
from one stage to the next along its life-cycle. Initial findings from
exploratory case studies of the EV industry in Chinese Shandong
Province show that the EV Business ecosystem emerged from a
network of connected entrepreneurs to its current nascent structure.
Taking a multi-disciplinary approach, literatures of evolutionary
economics, business ecosystem and capabilities have been reviewed.
On the basis of the research gaps, a conceptual research framework is
proposed that potential contributions of subsequent findings include
theoretically enriching business ecosystem theories and benefiting
industrial players practically through the formulation of thecapability maturity model.

5252

Session
Date
Time
Room
ChairsTechnology and Knowledge Management (1)Tue, 11 Dec
11:00 - 12:30
S227
Lin Gong, Matti Karvonen

Effective Wi-Fi Setting User Experience Design by Using
Systematic Innovation Method
Song-Kyoo Kim1
1
Asian Institute of Management, Philippines

Wireless Fidelity allows electronic devices to exchange data
wirelessly over a computer network. The feature is applied most ofmobile devices. The paper deals with the practical approach oftechnology enhancement by using the unique problem solving
method. Systematic innovation is a structured process and set ofpractical tools that can be used for value creation. The user
experience enhancement for Wi-Fi usage is designed based onhuman behaviors by using the innovative method.

Making Mergers More Effective Through Technology
Management
Murali Krishna Kuppili1, Ramachandra Aryasri2
1
SoCtronics Technologies Pvt. Ltd., India
2
JNTU, India

This paper focuses on challenges faced in bringing two
semiconductor companies under merger to a common technologicalplatform and strategic solutions implemented to make the merger
successful. A case study approach is followed to review and analyze
the results. From the study, a 15% reduction was observed in the
product development cycle. These savings were mainly due toefficient implementation of strategies to bring both the teams incommon technology platform. From this paper one can understandbetter in the context of semiconductor industry the concepts oftechnology management its impact on product schedules &financials. The strategic solutions & benefits indicated here will helporganizations just after merger, to take appropriate actions intechnology management. This paper will assist future researchers to
explore more ideas as there is limited research & literature available
on this topic.

A Study on the Job Satisfaction of Governmental Labor
Inspectors in Taiwan
Fu-Man Hsieh1, Yichun Yu2, Y.C. Lin2, P.-J. Tsai3
1
Wenzao Ursuline College of Languages, Taiwan
2
Institute of Occupational Safety and Health, Taiwan
3
China Medical University, Taiwan

This study was to investigate the contents of core competences andtheir training demands for industrial safety and hygiene professional
engineers (ISHPEs). The contents of 7 core and 35 sub-corecompetences were developed for conducting field surveys to safety
and health managers (SHMs) respectively from both high-tech andtraditional industries. Both the “deficiency” of ISHPEs and the“importance” of each investigated sub-core competence wereassessed using a 5-point Likert scale. We found that 9 out of 35, and13 out of 35 sub-core competences were “high deficiency” and “highimportance”, respectively. For training demands, results show that 16
and 14 sub-core competences were determined as “high training
demand” for ISHPEs based on judgments made by SHMs of thehigh-tech and traditional industry, respectively. Among them, 13
were consistently identified by SHMs of the both types should beconsidered the first priority subjects for conducting on-the-job
trainings for ISHPEs.

Interpretive Structural Model of Key Performance
Indicators for Sustainable Manufacturing Evaluation in
Automotive Companies
Elita Amrina1, Sha'ri Mohd Yusof2
1
Andalas University, Indonesia
2
Universiti Teknologi Malaysia, Malaysia

This paper aims to analyze the interrelationships among the key
performance indicators of sustainable manufacturing evaluation in
automotive companies. The initial key performance indicators havebeen identified and derived from literature and were then validated
by industry survey. Interpretive structural modeling (ISM)
methodology is applied to develop a hierarchical structure of the key
performance indicators in three levels. Of nine indicators, there are
five unstable indicators which have both high driver and dependence
power, thus requiring further attention. It is believed that the model
can provide a better insight for automotive managers in assessing
their sustainable manufacturing performance.

How to Use the Big Data to the Technology Planning: A
Data-Driven Technology Roadmapping Using ARM
Youngjung Geum1, Hyeonjeong Lee1, Yongtae Park1
1
Seoul National University, South Korea

Due to the rise of big data, the active incorporation of data becomes avital process in the technology roadmap. However, technology
roadmapping still remains as a subjective task conducted by experts.
Especially, the identification of relationship among layers has been
dependent upon intuitive judgments of experts. Some previous
research, albeit infrequent, has attempted rather scientific approach
but yet has been subject to limitations in that it remains as simply
calculating the occurrence for keywords. However, what is required
is to identify the dependency between layers. In response, this paper
suggests an association rule mining (ARM)-based technology
roadmap to provide both the affinity and dependency among layers.
For this purpose, two types of indexes - support and confidence- aremeasured and corresponding maps are developed: affinity map anddependency map. For the intra-layer relationship, the affinity map isdeveloped whereas the dependency map is constructed for theinter-layer relationship.

E-service Concept Design in Recombinative Innovation: A
Morphology Analysis Approach
Jieun Kim1, Yongtae Park1
1
Seoul National University, South Korea

Recently, recombinative innovation is one of the most highlighted
issues in e-service area. Although previous research, albeit scanty,
focused on technical perspectives in substantial development, aconceptual design of recombiantive e-service has been scarcely
studied. Since recombinative e-service involves multiple elements ofsources and design parameters, and the combination of thoseelements, a combinative tool is appropriate and even indispensable
to conceptual design. Thus, this paper suggests a morphologicalanalysis approach to identify multiple means of conceptual designand consider multiple conceptual designs by decomposition andcombination. First, source and parameter dictionary is constructedby decomposing existing sources and services. Second, a
recombinative morphology is developed by integrating the values ofdimensions in dictionary. Finally, new e-service concept is identified
by matching the configurations with existing services.

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Session
Date
Time
Room
ChairsTechnology and Knowledge Management (2)Tue, 11 Dec
13:30 - 15:00
S227
Tritos Laosirihongthong, Ching-Yu Lien

Locating the Key Competitors: A New Tool for Technology
Manager
Chung-Huei Kuan1, Mu-Hsuan Huang2, Dar-Zen Chen2
1
National Taiwan University of Science and Technology, Taiwan
2
National Taiwan University, Taiwan

We propose to use the product of a competitor's h-index and aweighted sum of the citations of its h-core patents as a Core Value
characterizing the competitor’s h-core performance in terms of both
quality and quantity. The key competitors are those of the greatest
Core Values. The approach is applied to empirical data andcompared with similar measures such as the products of the h-index
and other h-type indices. The approach obviates the insensitivity
problem to exceptionally highly cited patents and does not impose
significant analytical overhead to the technology manager.

Leadership as a Determinant of Product Innovation: aSystematic Review of the Literature
Tharnpas Sattayaraksa1, Sakun Boon-itt2
1
Hatyai University, Thailand
2
Thammasat University, Thailand

This systematic review paper integrates and analyzes previous
empirical results between 2002-2012 to characterize the theories andvariables that examine the leadership-innovation relationship. Even
though there were many studies examining the effects of leadershipon various types of innovation, the empirical results showing theleadership-product innovation relationship were scarce. Among avariety of styles or characteristics of leadership, transformational
leadership was used most as explanatory variable to predict
innovation. However, there was no single study revealing thepositive effect of transformational leadership on product innovation.
This article provides the pathway for researchers to further
investigate the leadership-product innovation relationship.

A Knowledge Service Framework for Product-design
Activities
Si Chen1, Yan Yan1, Wang Zhao2, Wang Guoxin1, Zhao Yijing1
1
Beijing Institute of Technology, China
2Center for Space Science and Applied Research, China

In order to improve the utilization ratio of knowledge and make theknowledge rise in value, a framework of knowledge service fordesign activities is proposed. Firstly, a product design knowledge
representation model is proposed according to the characteristics ofdesign knowledge, and then a knowledge service model based on
semantic space is given. Then a method of knowledge service
matching is proposed based on the knowledge requirements analysis.
Finally, these approaches are used in a knowledge service system for
military-vehicle design validating its effectiveness and feasibility.

Capability Development - No Path, Response toCompetition: The Cross-case of Google, Ericsson,
Microsoft and Nokia
Mait Rungi1, Alar Kolk2
1
Tallinn University of Technology, Estonia
2
Aalto University, FinlandThis study is about the capability portfolio development and how themarket influences capability development in technology companies.
New capabilities can be developed either a proactive way or
adapting with the market changes. Alliances, which help in new
product development, can co-evolve in a similar vein. This study
extends prior findings to ICT industry context and identifies which
way is longitudinally more appropriate. Findings are observed fromthe market emergence phase to the growth phase. As a result,capability development is more adaption with the market rather thanproactive action.

Analysis Individual Tacit Knowledge Toward Innovation

Augustina Asih Rumanti1, Iwan Inrawan Wiratmadja2, Trifenaus Prabu
Hidayat1
1
Atma Jaya Catholic University of Indonesia, Indonesia
2
Bandung Institute of Techonlogy, Indonesia

This research is based on an issue that tacit knowledge is a crucial
asset to create an innovation. Innovation is an important factor for acompany to survive in economical competition. Therefore, thisresearch has aims to analyze the correlation between individual tacitknowledge and the company’s innovation. This research is done bydoing a case study at PT.X. PT X is an automotive company
manufacturing in Indonesia. Simulation result using PLS show astrong correlation between tacit knowledge and a company’s
innovation, tacit knowledge towards individual innovation capability,
and individual innovation capability towards company’s innovation.
But tacit knowledge only has an influence to individual innovation
capability. This result is caused by the lack of company’s concern toindividual tacit knowledge which leads to the problem of individual
tacit knowledge codification that is used for doing innovation in acompany.

The Mediating Role of Absorptive Capacity between
Financial Slack and Performance

Antonio Verdu1, Lirios Alos-Simo1, Jose Maria Gomez-Gras1, Maria Jose
Alarcon-Garcia1
1
University of Miguel Hernandez, Spain

We propose a theoretical model in which organizational performanceis explained by absorptive capacity and financial slack. Based on an
empirical study we show that absorptive capacity (both potential andrealized) mediates the relationship between financial slack andperformance.

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Session
Date
Time
Room
ChairsTechnology and Knowledge Management (3)Tue, 11 Dec
15:30 - 17:30
S227
Song-Kyoo Kim, Bibo Yang

Technology Evaluation Practices in Universities
Technology Transfer Offices

Fernando Romero1, Antanio Rocha1
1
University of Minho, Portugal
Technology evaluation and licensing by universities has increased inrecent years, stimulated by specific policies that have encouraged
quantitative as well as qualitative changes in technology transfer fromuniversities. This paper makes a review of the concepts and practices thatare behind technology evaluation and licensing by universities. The
literature on this subject is fragmented and dispersed, and the main
objective and contribution of this paper is to provide an integrated andcomprehensive overview of the concepts and practices on the subject. A
conceptual order is generated, allowing the reader to identify concepts
and practices, and to easily situate them in terms of their position in the
chain of events that constitute the process of technology evaluation andlicensing by universities.

Knowledge Visualization in Product Development using
Trade-Off Curves

Maksim Maksimovic1, Ahmed Al-Ashaab1, Robert Sulowski2, Essam
Shehab1
1
Cranfield University, United Kingdom
2Sitech, Poland
Resources management has remarkable impacts on production operationsin terms of both productivity and efficiency. Faced the challenges in thecompetitive market, garment manufacturers are always striking for
shorter production cycles. Effective resources management is thus
essential for the survivals of garment manufacturers. Currently, there is alack of standardized approaches for effective production resourcesmanagement in the garment manufacturing industry. This may lead toinefficiency in production performance. Problems aroused include
inaccurate resources planning and allocation. This paper presents an
intelligent resources management system, integrating both radio
frequency identification (RFID) technology and fuzzy logic, specificallyfor the garment industry. A case study conducted in a Hong Kong
garment manufacturing company, which is considered a good
representation in the sector, is addressed. Results indicate that the
proposed approach outperforms the conventional approaches with better
decision making in resources planning.

Impact of Enterprise Strategic Flexibility on Innovation
Performance: Based on Dual Perspective of Proactive andReactive

Zhigang Fan1, Dongmei Fan2, Sun Yuan3
1
Hangzhou Normal University, China
2
Zhongnan University of Economics and Law, China
3
Zhejiang Gongshang University, China
This study incorporates proactive flexibility and reactive flexibility into
the framework of strategic flexibility, and subdivides environmental
uncertainty into environmental change rate and environmental change
unpredictability. Based on the incorporation and subdivision, it explores
the effect of proactive and reactive strategic flexibility on the performanceof enterprises and the moderating effect of environmental uncertainty
through an analysis of 180 manufacturers. The results show that bothproactive and reactive strategic flexibility have positive effects onenterprise performance, the moderating effect of environmental change
rate on the relationship between reactive strategic flexibility andenterprise performance turns out insignificant, and that of environmental
change unpredictability on the relationship does not exist. The conclusion
not only supplements strategic flexibility theory but provides reference
for enterprise strategy practice as well.

Care Apparel Design Reuse System: Design and
Implementation

Bibo Yang1, Lei Ai2
1
The Hong Kong Polytechnic University, China
2
Donghua University, China
Care apparel is a highly customized product, thus special, creativetechnical solutions are required in care apparel design. The design process
for care apparel is long due to the difficulty in finding proper technicalsolutions. To improve the design process, a design reuse system isconstructed and implemented in a care apparel center. Thus existingproducts, design features and technical solutions can be reused. In
addition, existing products are organized in product families according todifferent patients’ syndromes. The system improves the design process
and reduces the design time and cost.

Patent-based Indicators for Analyzing the Wind Power
Markets

Matti Karvonen1, Rahul Kapoor1, Tuomo Kassi11Lappeenranta University of Technology, Finland
Global climate change and finiteness of current primary energy resources
have increased the importance of more sustainable energy sources. For the
next decade the wind technology is one the most promising technology ina long transition to more sustainable energy sources. Intellectual
property– especially patents related to technological innovation – is at theheart of today’s wind energy. This paper aims to analyze the developmentof wind energy technologies. The patent-based indicators are measured
using backward citation analysis, technology cycle time, patent family
size and International Patent Classification. The most important windenergy technologies are determined using literature review. Researchmaterial is based on the patents of the six leading wind industry actors.
The indicators are determined using the patenting activity of the leading
firms using the EPO Worldwide database (PATSTAT). The evaluation of
the given indicators will give an invaluable insight into the competitiveenvironment in the wind energy industry.

The Role of Funding Source for Commercializing
University Patents: Network Analysis on Technology Industry Linkage Patterns

Yongrae Cho1, Sanghoon Lee1, Wonjoon Kim1
1
KAIST (Korea Advanced Institute of Science and Technology), South Korea
Although the formulation of technology policies focusing on university is
a topic that has been well-discussed in academia, more analytic researches
have not yet been developed. Especially, the characteristics and source of
R&D funding take critical roles for academic researches to becommercialized. This study aims to investigate the differences depending
on R&D funding sources - private or governmental - and to formulate theresearch policy based on empirical results. From a qualitative perspective,
we visualize two-mode networks by linking patent and industry codes.
From a quantitative perspective, we conduct ANOVA using centrality
indices calculated from the network graphs. Overall, we foundidiosyncratic patterns in the technology (patent)–industry networks.
However, we only observed marginal differences between the two groups.
Furthermore, results of the ANOVA showed a difference in closenesscentrality between the two groups. We suggest the policy directions whichemphasize interdisciplinary researches and strengthen technology’saccessibility to industry.

Knowledge Management and Learning Organization:
Linking Knowledge-based System to Service Delivery
Processes

Wen-Jung Chang1, Christina Tay2
1Delin Institute of Technology, Taiwan
2Chinese Culture University, Taiwan
Accompanied with the popularity of life-long education, the olduniversities today are forced to turn out to be more market-driven andlearning oriented. Knowledge is not only a key to effective competition,
but also a resource of competitiveness. A learning organization (LO) isreasonably attributed to an effective knowledge management (KM). Even
though LO is supposed to be the best solution for theknowledge-intensive industry (KII), past studies rarely focused on thisemerging market. Meanwhile, a knowledge based system (KBS) aims tohelp various staffs to retrieve useful information they need fromknowledge system to cope with decision-making problems withinorganization. To clearly explore the relationship between KM and LO, thispaper, using a case study, presents a framework of KBS implemented in
SCE to facilitate a good understanding of CE system.

A STEP-based Product Knowledge Model for
One-of-a-kind Production

Bomiao Li1, Shane Xie1, Xun Xu1
1
University of Auckland, New ZealandOne-of-a-Kind Production (OKP) is a new manufacturing paradigm fordeveloping customized products with growing product variety in order tomeet demands from individual customers in today’s markets. Historical
product knowledge is of great importance for OKP product development(OKPPD) in which data exchange and sharing is always required forcollaborations of systems and integrations of PD activities. Many STEP
based knowledge modeling approaches have been developed. However,they have limitations on solving issues in OKPPD. This paper presents a
STEP-based data model, and a fourstep modeling method for supporting
customized PD activities. A new EXPRESS data model with four sub
models is also introduced, and four databases are established based on the
proposed EXPRESS data model.

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Session
Date
Time
Room
ChairsReliability and Maintenance Engineering (1)Tue, 11 Dec
11:00 - 12:30
S228
Roger Jiao, ZhengGuo Xu

Optimal Maintenance Service Contract for Equipmentswith Availability Target
Bermawi Iskandar1, Hennie Husniah1
1
Bandung Institute of Technology, Indonesia

This paper deals with a maintenance service contract for equipment(such as dump trucks, excavators, etc.) considering availability target.
We study the maintenance service contract options from both theowner and OEM point of views and use a non-cooperative gameformulation to determine the optimal strategy (pricing structure) for
the OEM, and the optimal option for the owner.

Specification of Change Points of Failure Rate or Intensity
Function: A Non-parametric Approach
Renyan Jiang1
1
Changsha University of Science and Technology, China

The plot of failure rate function or intensity function of an item canhave one or two change points where the function value changes
quickly. There are many situations (e.g., burn-in testing design andpreventive maintenance decision) where the locations of change
points need to be specified. This paper presents a non-parametricapproach to estimate the change points. The proposed approach issimple and relatively robust. The approach consists of two steps. The
first step deals with empirically estimating the failure rate or
intensity function and the second step uses a cluster analysis methodto specify the change points. Three examples are used to illustrate theproposed approach and its appropriateness.

Reliability Analysis Based on Jump Diffusion Models for
an Open Source Cloud Computing
Yoshinobu Tamura1, Hirona Miyahara2, Shigeru Yamada2
1
Yamaguchi University, Japan2
Tottori University, Japan

A cloud computing is also attracting attention as a network service toshare the computing resources such as networks, servers, storage,
applications, and services. We focus on a cloud computing
environment by using open source software such as OpenStack andEucalyptus because of the unification management of data, and low
cost. In this paper, we propose a new approach to software reliability
assessment based on a jump diffusion model based on the stochastic
differential equations in order to consider the interesting aspect of
the numbers of components and users. Also, actual software
fault-count data are analyzed in order to show numerical examples
of software reliability assessment. Moreover, this paper shows thatthe proposed method of reliability analysis can assist quality
improvement for the cloud computing.

Quantification of Organizational Influences on Failure
Rate: A Bayesian Approach

Failure Rate Prediction in Various Life Cycle Phases: A
Framework for Updating
Maryam Rahimi1, Marvin Rausand1
1
Norwegian University of Science and Technology, Norway

Failure rate prediction provides a quantitative basis for
decision-making regarding the adequacy of a design from the earlyphases in the life cycle. In real-life operation and maintenance, theoperating and environmental conditions may change compared towhat was assumed by the producer in the design and development
phases. Changes in these conditions and unexpected disruptions
may make the current predicted failure rate inaccurate and updating
is required as a response to such disruptions and changes. This paper
discusses the need for failure rate prediction in the various phases ofa product’s life cycle and proposes a framework for updating the
failure rate prediction to obtain a more realistic prediction. The
failure rate updating is based on the data acquired during the period
since the previous updating and changes of the status of a set of
reliability influencing factors.

Optimal Transmission Lines Assignment in a Multi-source
Multi-sink Computer Network
Yun Zhang1, ZhengGuo Xu1, JianGang Lu1, YouXian Sun1
1
Zhejiang University, China

For a multi-source multi-sink computer network with fixed network
topology, how to assign the transmission lines to the arcs to provide a
certain level of network reliability is an important problem worthy of
studying. Considering the assignment cost, this paper investigatesthe optimal transmission lines assignment problem with minimal
assignment cost. At the same time, the data transferring reliability
between any pair of source node and sink node should not be smaller
than a certain reliability threshold. In order to solve the proposed
problem, we first propose an assignment cost calculation algorithm
under the reliabilities constraints for a transmission lines
configuration. Then we adopt the genetic algorithm to search for the
optimal solution. Experiments are conducted to illustrate theproposed algorithm. The experiment results show that the proposed
algorithm can provide efficient solution in a reasonable time.

Simulation Evaluation of State-based Preventive
Maintenance for a Machine with Multiple Quality States
Chao Qi1, Hongwei Wang1, Sivakumar Appa Iyer2
1
Huazhong University of Science and Technology, China
2
Nanyang Technological University, Singapore

This paper considers a single machine system with multiple quality
states, representing the deterioration of machine state due to wear
and tear or other reasons, using simulation approach. For such asystem, a preventive maintenance (PM) scheduling methodology is
proposed based on machine quality state. A simulation study isconducted to evaluate the performance of the proposed machinestate based PM methodology in comparison with the conventional
calendar based PM. Based on the simulation results, it appears thatmachine state based PM outperforms calendar based PM byachieving higher productivity with lower mean and variance of cycle
time. Furthermore, the impact of buffer size and parameter setting ofPM methodologies are also investigated.

Hui Jin1, Marvin Rausand1, Ali Mosleh2, Stein Haugen1
1
Norwegian University of Science and Technology, Norway
2
University of Maryland, United States

This paper studies the organizational influences on failure rates. The
failure rate model in MIL-HDBK-217F is extended to include
organizational factors, and a Bayesian approach is proposed toquantify the organizational influences. In contrast to most explicit
organizational models, this paper focuses on extracting informationfrom failure rate data. The proposed Bayesian approach, however,can be combined with the explicit models by using their results asprior information, hence obtain more rigorous result. A numericalexample is included to illustrate the model and approach.

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Session
Date
Time
Room
ChairsReliability and Maintenance Engineering (2)Tue, 11 Dec
13:30 - 15:00
S228
R. Jiang, Yoshinobu Tamura

Remaining Lifetime Assessment of a Deteriorating System
Operating Under Permanent Effect of Fluctuant
Environment
Elias Khoury1, Estelle Deloux1, Antoine Grall1, Christophe Berenguer2
1
Troyes University of Technology (UTT), France
2
Grenoble Institute of Technology, FranceThis paper presents a degradation model considering a permanent
impact of the environment on the system. A two-stage environment
is considered; shocks impacting the degradation rates can occur inthe stressed mode. We develop methods to estimate/detect theoccurrence of shocks and assess the remaining useful lifetime. The
studied examples showed a good performance of theestimation/detection methods.

Thermooxidation Degradation and Life Prediction of
Nitrile Butadiene Rubber Based on Kinetics Model
Kun Zhang1, Jinyong Yao1, Tongmin Jiang1
1
Beijing University of Aeronautics and Astronautics, China

To study the aging principle of sealing performance of nitrile
butadiene rubber (NBR), a mathematical model is proposed based on
the correlation between mechanical performance and microscopic
flaws. We assume that oxidative cross-linking and molecular chain
scission are two main microscopic flaws of NBR, which could resultin performance degradation. In this paper, we use Kinetics model torelate the degradation process with both microscopic flaw
mechanisms. Finally thermal-oxidative aging model of NBR isdeveloped for lifetime evaluation. We evaluate our model using
compression permanent distortion data which are obtained byaccelerated thermal-oxidative aging tests at 60℃, 70℃, 80℃, 90℃
and 100 ℃ . Comparing with current existing aging model, theexperimental results show that our model could simulate thedegradation trend of sealing performance accurately. Predictive
residual of our model is smaller than 1% at various temperatures andeven smaller than P-t model at 70℃ and 80℃.

Probabilistic Modeling of Solder Joint Thermal Fatigue
with Bayesian Method
Limei Xie1, Ying Chen1, Rui Kang1
1
Beihang University, China

Solder joint thermal fatigue failure is a major cause for the failure of
the electronic packaging. It is influenced by the device geometry,material fatigue properties, temperature stress and other parameters.
All of these parameters contain uncertainties, whereas
Coffin-Manson model which is widely used to evaluate fatigue life
does not take uncertainties of model parameters into consideration.
In this paper, a probabilistic physics of failure (PPoF) of solder joint
thermal fatigue using Bayesian theory to update parameters is put
forward. Comprehensively considering the influences of
uncertainties of all parameters on solder joint failure, and using
Monte Carlo method to solve PPoF model, probability density
function for single point failure can be obtained. Throughestablishing the relationship between the probability of failure andtime, stress, structure and materials, this method provides a new way
for reliability prediction.

Reliability-Based Structural Design: A Case Study of Car
WheelsYitao Liu1, Feng Zhou1, Roger Jiao1
1
Georgia Institute of Technology, United States

Traditional safety-factor-based design is an approximation of thereality which suffers from both design failure in some case and costly
design in most cases. In order to deal with this problem, this paper
shows the reliability-based structural design. It takes the externalloads, material property, and so on as random design variable toaccount for the uncertainty embedded in the design process. A casestudy of car wheel design is used to illustrate the proposed method.
Monte Carlo simulation is used to model the uncertainty based on
which optimal design is obtained. Furthermore, finite element
analysis based on ANSYS Workbench is utilized to validate theresults.

Reliability Assessment and Analysis of Incorporating
Fault Tolerance into Service-oriented Architectural
Systems
Kuan-Li Peng1, Chin-Yu Huang1
1
National Tsinghua University, Taiwan

To deal with the need of evaluating and ensuring the overall
reliability for modern SoA systems, a white-box Markov-based
reliability model for SoA systems is proposed in this paper. We
consider the service reliabilities and link reliabilities separately, deal
with both choreography and orchestration service compositional
styles, and also analyze the internal mechanisms of fault-tolerant
strategies. Some mathematical probability derivations are given anddiscussed. Two case studies from real industry practices andproblems are presented. We have also developed a versatileassessment tool to provide a quantitative estimation based on our
proposed method and model. Experimental results show that the
proposed model is useful in analyzing the quality of SoA systems
and also in making decision of adopting fault tolerant strategies.

Blade-based Maintenance Policy of Offshore Wind
Turbine with the Presence of Covariate under Random
Shock
Wenjin Zhu1, Mitra Fouladirad1, Christophe Berenguer2
1
University of Technology of Troyes, France
2
Grenoble Institute of Technology, France

The blade is the most expensive part of a wind turbine whose failure
could be hazardous. The damage of blade is motivated by amechanism of fatigue and affected by random factors. The techniqueand price of remote surveillance equipment of rotor blade are
becoming well proven and affordable, which makes the monitoringof blade possible. In this paper we model the crack of blade via ParisErdogan law considering the intrinsic randomness of the fatigue
crack propagation, random shock, random load and dynamic
environment. We propose two reactive maintenance policies taking
advantage of the monitoring signal as well as obeying the periodic
maintenance. Between two periodic maintenances if the control
signal exceeds a threshold or a shock occurs, a reactive maintenancewill occur. Each maintenance action has to choose one of the two
actions: imperfect repair and replacement. The numericalsimulations prove that the proposed policy can reduce cost.

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Session
Date
Time
Room
Chairs

Project Management (1)Tue, 11 Dec
15:30 - 17:30
S228
Leon Pretorius, Tomasz Blaszczyk

An Integer-Programming Approach to Benefit-Maximal
Selection and Scheduling of Resource-Constrained
Projects

effectiveness as experienced personnel retire. This successfulprogramme is analysed through a framework provided by systems
thinking, to understand the effects of the non-traditional approach toprogramme management used in this case.

Risk Crash: a New Approach to Quantify the Relationship
Between Risk of Delay and Project Duration

Gianluca Brandinu1, Norbert Trautmann1
1
University of Bern, Switzerland

Tommaso Salvagnini1, Giorgio Locatelli2, Mauro Mancini1, Edoardo Cesa
Bianchi1
1
Politecnico di Milano, Italy
2
University of Lincoln, United Kingdom

We consider the following planning situation. Given are a set ofavailable projects and a common due date. If a project is completed
by the due date, then it creates some benefit. Each project consists ofseveral sub-projects which are interrelated by precedence constraints
and require scarce resources during execution. The planningproblem consists in selecting some of the available projects, and toschedule the selected projects such that the resource and theprecedence constraints are fulfilled and the total benefit ismaximized. We formulate this planning problem as a mixed-binary
linear program. For the computation of the planning horizon and of
an initial solution, we propose a novel priority rule for thewell-known serial schedule generation scheme. We report on
computational results for 1440 instances, which we have generated
based on the PSPLIB instances.

Currently companies ask their project managers to deliver projects
on budget within a schedule shorter than their competitors. The
project management literature proposes many algorithms to deal
with the classical trade-off of cost vs. time, the so called crushing. The
goal of these algorithms is to decide which activities should beshortened (at a higher cost than standard) in order minimize theoverall cost given a fixed project duration. The major pitfall of theseapproaches is that they do not consider the level of risk for thedifferent duration. On the one hand, shortening the duration (i.e.
crushing the project) requires more advanced and novel solutions,increasing the technological risk of the project. However the shorter
exposure time of the new solution will decrease the project risk fromexternal adverse events. This paper presents a new approach,grounded on the literature about buffer management, to manage thisrisk-time trade-off.

An Investigation into the Relationship between ProjectManagement Maturity and Project Performance in the
Telecommunications Industry in Zimbabwe

Role Development for Interdisciplinary Collaboration
Support in Biomimetics

Tapiwa Murambiwa1, Marie-Louise Barry2
1
University of Pretoria, South Africa
2
Tshwane University of Technology, South Africa

Current research on the influence of project management maturity on
project performance is conflicting in terms of whether higher project
maturity leads to higher project success. This study investigated thelink between project maturity and project performance in thetelecommunications industry in Zimbabwe. 200 questionnaires weresent out of which 69 valid responses were received. The valid
responses were divided into groups of low, medium and high project
performance. The results show a positive correlation between
project maturity and project performance for projects in thetelecommunications industry in Zimbabwe, as organizations whereparticipants perceived low project performance also had a perceptionof low project maturity, and where participants perceived highproject performance there was also high perceived project maturity.
The study was exploratory in nature and the results can be tested invarious other environments especially in Africa.

Unlocking Critical Success Factors and Criteria in Capital
Projects – A Perspective From the South African
Petrochemical Industry
Marie-Louise Barry1, Danver Jacobs2
1
Tshwane University of Technology, South Africa
2
University of Pretoria, South Africa

This research was aimed at identifying the critical success factors andcriteria, as well as their importance, for each project lifecycle phase in
the petrochemical industry. An extensive literature review was
conducted followed by a focus group exercise to review the critical
success factors and criteria. These factors and criteria were then sent
via a survey questionnaire to a population of 1,035 people and thenumber of valid responses received back was between 103 and 139,
depending on the life cycle phase. The research results indicatedthat there is not a unique set of factors and criteria in each phase of
the project lifecycle. Some factors are considered very important inmore than one project phase. The research results show that some of
the factors and criteria significantly change in importance when aproject moves to the next phase of execution.

Responding to an Ageing Workforce and the Implications
for Engineering Management
Julien Pollack1
1
University of Technology Sydney, Australia

Most organisations are, or in the near future will be, faced with theneed to respond to issues associated with their ageing workforce.
This paper explores the implications of workforce ageing on
engineering management, and reviews one organisation’s
implementation of a programme designed to mitigate the effects ofworkforce ageing on the potential for loss of knowledge andManuela Iulia Parvan1, Hendrik Oepke1, Katharina Kaiser1, Udo
Lindemann1
1Technische Universitat Munchen, Germany

In biomimetics technical problems are solved by transferring
solutions and knowledge from biology into engineering design. This
process often involves the generation of innovative concepts. Theinterdisciplinary collaboration and communication between
biologists and engineers represents a main challenge in the process.
Difficulties occur due to differences in terminology and methodology
as well as operation processes used. This paper presents thedevelopment of roles in biomimetics, generated by combining
biology and engineering tasks and characteristics. The new roles andtasks assessed can be used to facilitate the collaboration andcommunication between biologists and engineers. The roles
developed are based on the insights and results gathered from an
observation study done by engineers within a representative
working group from biology. The study includes the analysis of tasks,
work steps, data processing as well as communication methods andtools and information flows.

A New Event-based MILP Model for the
Resource-constrained Project Scheduling Problem with
Variable Intensity Activities (RCPSVP)
Alain Hait1, Georges Baydoun1
1
University of Toulouse, ISAE, FranceThis paper presents a new MILP formulation for the
resource-constrained project scheduling problem with variable
intensity activities (RCPSVP). It is based on the continuous time
representation of activity start and end events, together with thediscrete time representation of resource constraints. Computational
results show the strong performance of this approach, compared toformer solution approaches.

Resource Constrained Project Scheduling Problem: A DEA
based Genetic Algorithm

Behzad Ashtiani1, Fatemeh Paidar1, Amir Masoud Hosseinmardi1, Esmaeil
Najafi Trojani1
1
Science and Research Branch of Islamic Azad University, IranResource constrained project scheduling problem (RCPSP), belongs
to the class of NP-hard problems. Many researchers have solved thisproblem via variety of heuristics and meta-heuristic approaches.
Genetic algorithm- one of the meta-heuristics approaches- has beenused frequently to solve this problem. Since different methods havebeen presented for improving the GA to achieve better results, in thispaper we propose genetic algorithm-employed data envelopment
analysis (DEA) to handle project scheduling problem with resource
constraints. Computational results illustrated that DEA based GA
outperforms pure GA.

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58

Session
Date
Time
Room
ChairsIntelligent Systems (1)Tue, 11 Dec
11:00 - 12:30
S229
Jose Machado, Jaekyung YangIntelligent Systems based in Hospital Database
Malfunction Scenarios

Paulo Silva1, Cesar Quintas2, Pedro Goncalves1, Gabriel Pontes1, ManuelSantos1, Antonio Abelha1, Jose Machado1
1
University of Minho, Portugal
2
Centro Hospitalar do Porto, Portugal

Databases are indispensable for everyday tasks in organizations,particularly in healthcare units. Databases archive important andconfidential information about patient’s clinical status. Therefore,
they must always be available, reliable and at high performance level.
In healthcare units, fault tolerant systems ensure the availability,
reliability and disaster recovery of data. However, these mechanisms
do not allow taking preventive actions in order to avoid fault
occurrence. In this context, it emerges the necessity of developing a
fault prevention system. It can predict database malfunction inadvance and provides early decision taken to solve problems. The
objectives of this paper are: monitoring database performance andadapt a forecasting model used in medicine (MEWS) to the database
context. Based on mathematical tools it was created a scale thatassesses the severity of abnormal situations. In this way, it is possible
to define the scenarios where database symptoms must trigger alerts
and assistance request.

Monitoring Intelligent System for the Intensive Care Unit
using RFID and Multi-Agent Systems
Rui Rodrigues1, Pedro Goncalves1, Luis Miguel Miranda1, Carlos Filipe
Portela1, Manuel Santos1, Jose Neves1, Antonio Abelha1, Jose Machado1
1
University of Minho, Portugal

In an environment where patients’ lives are at stake, Intensive Care
Units (ICUs) become a good scenario for the implementation ofAmbient Intelligence, helping medical professionals in their task ofretrieving the well-being to patients. INTCare project is a system thataims the real-time monitoring of patients, and predicts their outcome
in a short period of time. When patients’ vital signs get out of range,
an alert system warns medical staff about the patient condition.
PaLMS, a Patient Localization and Monitoring System, is being
developed and tested in Centro Hospitalar do Porto - CHP, a hospitalin Portugal. It uses RFID technology with a multi-agent architecture
for communications inside hospital, thus providing a way to improve
INTCare by ending the storage and analysis of redundant data,collected when the patient isn’t in the bed, plus stopping the warning
events triggered by the vital signs out of range.

Ontology-Based Context Model of Turret
Qiqi Yin1, Qing Xue1, Minxia Liu1, Kan Zhang1
1
Beijing Institute of Technology, China

One of the most important points in contextaware is to build areasonable context model. At present, many models were not built in
a common structure. It is hard to build other models on the basis of
the existing ones. In this paper, we build an ontology-based context
model with Web Ontology Language (OWL), which provides anefficient and convenient way of ontology-building by adding domain
specific concepts into this ontology model. We show the structure of
the model and explain the main concepts of it. Turret context
described by OWL language is the foundation to realize theintelligent weapon interface

An Artificial Neural Network Approach for Estimating
Suitable Ratio of Filling Fat in Animal Feed Production
Mongkon Ittiphalin1, Supachai Pathumnakul 1, Kullapapruk
Piewthongngam1, S. Homdee1
1
Khon Kaen University, Thailand

In this paper, the optimal ratio of fat filling into mixer in animal feed
production in Thailand is addressed. In feed production, additional
fat filling directly into mixer affects to the rate of production andphysical property of feed pellet. The suitable of fat filling into mixer
will provide high pelleting production rate, while the durability ofthe pellet is still in the standard requirement. In this paper, anestimating model based on the artificial neural network (ANN)approach has been developed for solving this problem. Four factors,
which are die size, fiber inclusion, total fat and durability, areconsidered as inputs of the model, in order to recommend suitableratio of additional fat filling into mixer. Comparison of predicted andactual data has guaranteed the efficiency of the proposed approach.
The highest mean absolute percent error (MAPE) of the model is
10.62%.

Rule Extraction Using Firefly Optimization: Application to
BankingNaveen Nekuri1, Ravi Vadlamani1, Raghavendra Rao C2, Sarath K.N.V.D1
1
Institute of Development and Research in Banking Technology, India
2
University of Hyderabad, India

In this paper, we proposed a rule mining algorithm based on firefly
optimization and named it as firefly miner. The main objective of
firefly miner is to extract classification rules from a given dataset. The
effectiveness of the proposed algorithm is tested on eight data sets
namely viz., four bankruptcy prediction and one credit scoringdatasets and three benchmark problems taken from literature. We
performed 10 fold cross validation testing and observed that theresults obtained by firefly miner in terms of sensitivity, accuracy, area
under ROC curve (AUC) and the number of rules are encouraging
when compared to that of a baseline decision tree (DT).

Image Analysis for Pig Recognition Based on Size andWeightApirachai Wongsriworaphon1, Supachai Pathumnakul 1, Banchar
Arnonkijpanich1
1
Khon Kaen University, Thailand

Stockman or farmers always have difficulty recognition of pig massin their farms. The typical approach is to approximate from age ofpigs, daily- given feed, or from experience of human vision. Anotherpractical approach to instantly measure mass of pigs is to use
machine vision. The objective of this paper is to use a developed
machine vision to analyze pig mass for detection of size and weightof pigs in farm. The pig mass is processed from physical features
captured from digital image and their liveweights are approximatedfrom artificial neural network. This neural network model is basedon vector-quantized temporal associative memory (VQTAM) andlocally linear embedding (LLE). The elementary results showed thatthe mass approximation of pig weight had acceptable accuracy and it
was practical in pig farms.

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59Session
Date
Time
Room
ChairsIntelligent Systems (2)Tue, 11 Dec
13:30 - 15:00
S229
Allan Nengsheng Zhang, Ronnachai
Sirovetnukul

An AI-based System for Telecommunication Network
Planning

Kin Poon1, Andrej Chu1, Anis Ouali1
1
Khalifa University of Science, Technology and Research, United Arab Emirates

Today's telecoms market is filled with severe competition and tightbudget. Many network operators are striving for different ways toreduce their operating cost while still providing excellent services totheir customers. One of the possible savings that can be made is to
apply software planning tools to automate network designs at thelowest possible cost. In this paper, we describe an AI based system
which can automate/optimize the planning process. It facilitates theimplementation of different optimization algorithms to solve
network design problems. A case study of physical layer design for
FTTH networks is provided. In this paper, an overview of the system
is provided. The problem definition of the FTTH network design andthree optimization approaches (i.e. Mixed Integer Linear
Programming (MILP), Ant Colony Optimization (ACO) and Genetic
Algorithm (GA)) are described. Finally, different sizes of networks
are used to illustrate the performance of each approach.

An Efficient Approach for Updating the Structure for
Mining Frequent Patterns
Show-Jane Yen1, Yue-Shi Lee1, Jia-Yuan Gu1
1
Ming Chuan University, Taiwan

Mining frequent patterns is to discover the groups of items
appearing always together excess of a user specified threshold from alarge transaction database. However, the transactions will growrapidly, such that the frequent itemsets may be changed due to theaddition of the new transactions. The users may eager for getting thelatest frequent itemsets from the updated database as soon as
possible in order to make the best decision. Therefore, it has become
an important issue to propose an efficient method for finding thelatest frequent itemsets when the transactions keep being added into
the database. For the previous tree based approaches, they have tore-scan the original database and generate a large tree structure. In
this paper, we propose an efficient algorithm which only keeps
frequent items in a condensed tree structure. When a set of newtransactions is added into the database, our algorithm can efficiently
update the tree structure without scanning the original database.

An Intelligent System for Production Resources Planningin Hong Kong Garment Industry
Kar Hang Carmen Lee1, K.L. Choy1, Kris, M Y Law1, G.T.S. Ho1
1
The Hong Kong Polytechnic University, Hong Kong

Resources management has remarkable impacts on production
operations in terms of both productivity and efficiency. Faced thechallenges in the competitive market, garment manufacturers arealways striking for shorter production cycles. Effective resourcesmanagement is thus essential for the survivals of garment
manufacturers. Currently, there is a lack of standardized approaches
for effective production resources management in the garment
manufacturing industry. This may lead to inefficiency in production
performance. Problems aroused include inaccurate resources
planning and allocation. This paper presents an intelligent resourcesmanagement system, integrating both radio frequency identification(RFID) technology and fuzzy logic, specifically for the garment
industry. A case study conducted in a Hong Kong garment
manufacturing company, which is considered a good representationin the sector, is addressed. Results indicate that the proposed
approach outperforms the conventional approaches with better
decision making in resources planning.

Buyer-Supplier Predicting Offers in Supply Contract
Negotiation Using Neural Network

Yusraini Muharni1, Chao Ou-yang2, Chun Ching Lee3
1
National Taiwan University of Science and Technology, Taiwan, University of
Sultan Ageng Tirtayasa, Indonesia
2
National Taiwan University of Science and Technology, Taiwan
3
Tungnan University, Taiwan

The application of neural network in various field had significant
interest these days. In supply contract negotiation, buyer or supplier
faced uncertainty situation. Different bargaining power contributes
in the difficulties in making decision. By means of neural network,
agent equipped with capability to learn from past negotiation. In
this study, we attempt to develop an artificial neural network
predictive model. The simulation was used to exhibit negotiation
process between buyer and supplier. The Levenberg–Marquardt
algorithm has been used to train the neural network and shown thegood performance. Applied artificial neural network predictivemodel in negotiation process enables each party forecasts
subsequently for opponent next offer. The advantage of this work isin ability to short the negotiation round which is increase thenegotiation efficiency.

Architecture of Knowledgeable Manufacturing System
and Knowledge Representation Methods
Youlong Lv1, Wei Qin1, Jie Zhang1
1
Shanghai Jiao Tong University, China

Improvement of manufacturing systems is an important problem infactories as it is the basis of high productivity scheduling and canhelp factories well-adapted to changing environments. However,improving decisions are made mainly upon human experiences andreliable decisions through theoretical analysis are still vacant. This
paper analyzes the requirements to build a knowledge
manufacturing system (KMS) which can provide improving advices
for manufacturing systems through theoretical analysis. Efforts torealize those requirements are discussed in entity-relationship (ER)diagrams. The framework of KMS is proposed as requirements andtheir relationships turn into shape. Afterwards, knowledge
representation model of different knowledge classifications is built
for efficient extraction and employment of information in
manufacturing systems, lays the foundation of KMS framework.

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60

Session
Date
Time
Room
ChairsSafety, Security and Risk Management (1)Tue, 11 Dec
15:30 - 17:30
S229
R.M. Chandima Ratnayake, Masanori Akiyama

Addressing IT Security in Practice: Key Responsibilities,
Competencies and Implications on Related Bodies ofKnowledge
Younes Benslimane1, Ankit Patel1, Bouchaib Bahli2, Zijiang Yang1
1
York University, Canada
2
ESC School of Business, FranceThis paper examines the responsibilities and the required skills for
Information Technology (IT) security professionals.
Content
analysis of relevant jobs postings helped identify four types of
positions and the associated responsibilities and requisite skills.
The identified skills were further analyzed to assess their consistency
with the identified responsibilities. Finally, the Body of Knowledge(BOK) for three relevant disciplines (Information Systems, IT and
Computer Science) are reviewed to assess the extent to which they
cover knowledge needed to address IT security in organizations.
Findings identify possible gaps in the BOK and areas for
improvement.

Hybridization of Statistical and Cognitive Experience
Feedback to Perform Risk Assessment. Application to
Aircraft Deconstruction
Eric Villeneuve1, Cedrick Beler1, François Peres1, Laurent Geneste1
1
LGP/ENIT - Université de Toulouse, FranceThis paper aims to present a study on knowledge management. We
develop decision-support mechanisms hybridizing statistical andcognitive experience feedback to perform risk assessments on criticalareas of a system. We propose an approach for combining expert
opinion and statistics by using belief functions and by processing the
combined knowledge in a directed evidential network to provide arisk measure.

A Study of Fire Evacuation from an Industrial Building
Using Simulex
Diana Freitas1, Pedro Arezes1
1
University of Minho, Portugal

The purpose of this study was to evaluate the evacuation conditionsof a industrial building, through the analysis of the influence of an
emergency plan on the evacuation performance. With this purpose,
two building configurations were considered, the current and a new
configuration, which resulted of adding a staircase. Four tests were
made, two for each building configuration. In the simulations,several variables were considered, such as the distance to the meeting
point, the distribution of people through the multiple emergency
exits, evacuation paths width, both horizontal and vertical, as well as
the pre-evacuation time. From the obtained results, it was possible toconclude that the evacuation time does not depend only on the
distance but also on a set of factors related to the building, such as theevacuation path width and the existence of stairs, as well as theamount of people placed around the emergency paths.

Noise Risk Assessment of Taiwan High Speed RailKang-Ting Tsai1, Y. T. Huang1, Min-Der Lin1
1
National Chung Hsing University, Taiwan

Excessive noise is a major environmental complaint and potential
health risk in residential areas. Since the Taiwan High-Speed Rail(THSR) operated, its noise impact has become a newly emerging
issue of concern. Although THSR has installed metal sound barriers
along the noise-sensitive areas, many residents still keep
complaining about the noise, indicating that the noise problem along
THSR is an emergent issue to be investigated. This study assesses thenoise impacts along THSR, and evaluates the robustness of the noise
reduction strategies and control regulations. The results show thatwhen the trains pass by, the LAmax has greater impacts on upstairs
residents than downstairs due to the THSR used elevated railway,
and the noise may increase over 20dB(A) than the background noiselevel. A preliminary estimation indicated that there are about 2,500
residents in the investigated area exposed to unacceptable noise
environments, and further noise reduction/abatement strategies arenecessary.

The Effect of Maintenance Seen From Different
Perspectives on Major Accident Risk
Peter Okoh1, Stein Haugen1
1
Norwegian University of Science and Technology, Norway

Societies worldwide have been surprised and saddened by theoccurrence of certain major unwanted events after having madeconsiderable efforts to control the dynamics of whateverorganization or systems they manage. Texas City Refinery Explosion(2005) and the Piper Alpha Disaster (1988) are two examples ofmaintenance-related major accidents with highly devastatingconsequences. Major accidents may be viewed from the following
perspectives: Energy-Barrier, Normal Accident, High Reliability
Organization (HRO), Man-made Disaster, Conflicting Objectives,
and Resilience Engineering. In reality, few of these perspectives are
actually used in practical risk management – it is the energy-barrier
principle which is dominating completely. The objectives of thispaper are: (1) To find out how maintenance fits into theaforementioned perspectives on major accidents, and (2) To discuss
how the perspectives can influence maintenance.

Study on Classification of Safety-related Organizational
Factors in a Nuclear Power Plant
Dai Licao1, Pengcheng Li1, Huang Shudong1, Zhao Ming1
1
University of South China, China

On the basis of the existed classification system of organizational
factors, questionnaire and event analysis, a more comprehensiveclassification scheme is developed. The main framework is composedof target and strategy, organizational structure and organizational
culture. The scheme makes efforts to overcome the deficiencies of theother classification system. On the basis of this classification
framework, 71 human factor events between 2000 and 2003 arereanalyzed. Through descriptive statistical analysis, main
management deficiencies in connection with organization are
identified. On the basis of R-type clustering, main categories oforganizational factors are concluded

Quantitative Research of Risk Relationships of Sewage
Treatment Plants Based on Concession Operation
Hui Sun1, Yanhong Lu1
1
Tianjin University, China

The risk problem of concession operation is the crucial problem, theresearch of the problem is helpful to avoid risks for the governments,
financing parts and contractors and crucial for the success of the
projects. The aim of the paper is to study the risk relationship of the
sewage treatment plants based on the concession mode. By the wayof literature review, data collection and model matching etc. the risk
relationship of the sewage treatment plants is quantified, which
provide a reference for the risk management of the projects.

Theoretical Research on Crossflow Pollution in ShortDistance and Continuous Road Tunnels

Pai Xu1, Shu-ping Jiang2, Zhi Lin2, Jian-zhong Chen2
1
Chongqing Jiaotong University, China
2
China Merchants Chongqing Communications Research & Design Institute Co.,
Ltd., China

In the researches on tunnel ventilation in domestic and abroad, thecrossflow problems of polluted air between short distance andcontinuous tunnels are mostly ignored. When the ventilation system
is designed, special treatments about crossflow are usually not done.
Therefore, the further theoretical research on crossflow problems isparticularly urgent and necessary. Based on this, firstly, the shortdistance and continuous tunnel ventilation system is simulated bynumerical simulation software Fluent and the new concept is
proposed, i.e. crossflow ratio. Secondly, the simulated results areanalyzed, the rules are revealed and the crossflow ratio formula isfitted by software Origin8.0. Finally, check criteria in the continuous
tunnel ventilation design and theoretical measures of preventing
crossflow pollution are proposed. The crossflow ratio and check
criteria provide theory evidence for short distance and continuous
tunnel ventilation design in the tunnel group.

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61

Session
Date
Venue

Poster Session 1
Tue, 11 Dec
Level 2 Foyer

Integration of Supply Chains via Vertical Merger andAcquisition: Mechanism and Policy
Haiyan Yan1, Wenbin Zhao1, Bo Xu1
1Shanghai Institute of Foreign Trade, China

The paper analyzes functional theories about integration of supply
chains via vertical merger and acquisition. It simulates the supply
chains integration process of vertical M&A and carries out policy
analysis from the two aspects of structural adjustment and parameter
adjustment.

Enabling of Sustainable Supply Chain Management with
Lean Thinking - A Comparative Study of Manufacturers in
Kyoto Protocol Signatory Countries
Stuart So1, Hongyi Sun2
1
The University of Queensland, Australia
2
City University of Hong Kong, Hong Kong

The research formulates a sustainable supply chain management(SSCM) strategy for manufacturers by showing the potential of lean
thinking that lead corporate sustainability to success. A comparative
study of 655 manufacturing firms was conducted in 21 Kyoto
Protocol signatory countries. A research model and 3 hypotheses areproposed with the sample divided into 2 groups: (a) firms indeveloped countries; (b) firms in developing countries. There isremarkably good generalization to the first group, where thefindings can be a good reference to manufacturers in developing
countries. The results show that ongoing commitment to SSCM issignificantly influenced by its regularization in operations on thebasis of lean thinking as sustainable practices and enterprise
resources planning (ERP) systems that enable information sharing insustainable enterprises. The results imply that larger than average
sized manufacturers may consider going lean before moving toward
adopting sustainability for a better chance of success.

The Impact of Information Technology on Supply Chain
Management Capabilities: A Resource-Based View
Yi- Fen Su1
1
Minghsing University of Science and Technology, Taiwan

The objective of this paper is build upon prior research [1], to provide
some new perspectives in explaining how Information Technology(IT) can create a sustained competitive advantage (SCA) and supply
chain quality management (SCQM) capabilities for the firm. The
result shows that most of IT resources are positively related with
SCQM capabilities and firm performance. Especially, the outside-inand spanning resources are more likely to achieve better supply
chain quality capabilities and provide a SCA for firm performance.

A Heuristic Method based on Genetic Algorithm for
Storage Location Assignment in a Pick-and-PassWarehousing System with Multiple Pickers
Po-Hsun Shih1, Jason Chao-Hsien Pan2, Ming-Hung Wu2
1
Vanung University, Taiwan
2
Takming University of Science and Technology, Taiwan

Pick-and-pass systems play an important role for the faster deliveryof small and frequent orders of inventory with the rise of e-commerceand e-business in the global supply chain. Two factors lead to idle
time of pickers in a pick-and-pass system: unbalanced picking line
and shortages of products. This study develops an order storageassignment policy (SAP) based on genetic algorithm for apick-and-pass system with multiple pickers to balance the workloadof each picking zone and determine the most appropriate storage
space for each product so that the performance of the system can be
improved.

Value Stream Mapping Analysis for Improving theHarvesting and Transport Processes of Cotton
Yulin Li1, Shuping Yi2
1
Chongqing University,Shihezi University, China
2
Chongqing University, China

The purpose of this paper is to present a study on how Value Stream
Mapping (VSM) can be applied to the processes management ofagricultural field operations. The aim is to eliminate
non-value-adding (NVA) waste from the value stream of cotton
harvesting and transport. The harvesting and transport process in a

cotton plantation is visualized by mapping the current state value
stream. After analysis of the current status VSM and elimination of
unnecessary NVA waste, a future state VSM was drawn, with which
the cycle time of cotton harvesting and transport is expected to be
shortened from 30.93 days to 23.55 days, representing a 24%
reduction, and manpower in the interface of cotton receiving isdecreased from 12 to 8 persons. The research results indicated thatvalue stream mapping is a potential technique to improve theefficiencies of farm work and reduce production costs in arable
farming.

Decision to Refurbished Products Based on Cost-benefit ofRemanufacturing Model in Closed Loop Supply Chain
Yan Liang1, Joseph Chen1
1
Bradley University, United States

This paper builds a remanufacturing supply chain model based on
cost-benefit equations. This model helps companies to determine
whether or not they should manage refurbished products or let
third-party companies handle them. This remanufacturing supply
chain model was tested by a case study. The contributions of thispaper are: 1. Our refurbished products supply chain model provides
suggestions to manufacturers as to whether or not they should
manage their own refurbishing or let third-party companies handle it.
2. The result of the testing indicates: new products’ prices and return
rates are significant to the output (Loss), and the higher the price of a
product and its return rate, the more profitable it is to manage that
product’s refurbishment.

Effects of Information Transparency on Supply Chain
Quality Management
JIng Hua Xiao1, Zhao Lin Cheng1, Cai Wen Zhang1, Kang Xie1
1
Sun Yat-Sen University, China

In supply chain management, it is conventional for the customer touse quality contracts and punishment to control its supplier’s
opportunistic behavior and ensure quality. However, this mechanism
is reactive and its effects are hardly satisfactory. In this study, we areinterested in introducing a new mechanism into supply chain quality
management—information transparency. A principal-agent model isformulated to investigate the impacts of sampling inspection andinformation transparency on supply chain quality management. It isshown that the combined use of the two mechanisms cansignificantly improve the supply chain performance compared tousing either of the mechanisms alone.

Towards Better Supply Chain Visibility - the Design and
Implementation of a Supply Chain System S-ConTrol to
Support an Operational HQ in Singapore
Wen Jing Yan1, Puay Siew Tan1, Niak Wu Koh1, Tan Yong Qiang1, Allan
Nengsheng Zhang1
1Singapore Institute of Manufacturing Technology, Singapore

Visibility into supply chain can give company a competitive
advantage in today’s growing global operations. As Small andMedium Enterprises (SMEs) grow beyond Singapore, there is a needto help them to setup operational headquarters (OHQs), with
Control Tower capabilities to better manage their supply chains, forbetter productivity and customers’ satisfaction. This paper discusses
the challenges in designing, developing and implementing a supply
chain system, SMEs Control Towers (S-ConTrol), to support such aControl Tower. A two-phase systematic approach for the systemdesign and implementation was proposed. In the first phase, a
top-down business analysis combined with target driven bottom-up
data analysis process was executed to address the business needs andidentify the challenges. The second phase was the implementationof the solution to fulfill the business needs. The system has beensuccessfully deployed in a local company and its regional customer
centres (RCCs) with tangible productivity gains achieved.

Hybrid Ant Colony Optimization for Library Distribution
Network
Weidong Lin1, E.S. Chan1, S.Y. Chia1, H. Li1
1
Temasek Polytechnic, Singapore

This paper describes a new designed materials distribution networkof public libraries under National Library Board of Singapore. In the
new design, the whole distribution network is segregated into a
number of sub-networks, or regions, with Library Supply Center(LSC) as a central depot. The route planning for each region could bemodeled as a vehicle routing problem (VRP) with both pickup anddelivery, and a hybrid ant colony optimization approach is proposed
to solve the problem. The initial results demonstrate significant costsavings and efficiency improvement compared with the existing
network.

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62

Using Decision Analysis Method to Evaluate the
Cost-effectiveness of Similar effect Medical Materials in
Hospital
Nai-Chuan Fang1, Ming-Jong Yao2, Tsueng-Yao Tseng3
1
Taichung Veterans General Hospital, Taiwan
2
National Chiao Tung University, Taiwan
3Tung Hai University, Taiwan

In order to balance the trade-off between medical quality and cost
reduction, hospitals have to keep making critical decisions onchoosing a best cost effectiveness of hospital materials. This study
aims to develop approaches for the evaluation of hospital materials.
Since it is a multi-criteria decision-making problem, we first screen
the critical factors and dichotomize them into two categories, thequantitative indicators and the qualitative indicators. The
quantitative indicators include “daily expenses”, “profits”,“consumption of quantity” and “side effects”. The qualitative
indicators include “production quality”, “physician preference”,“special formulation or design” and “stability and convenience”. We
proposed to evaluate the quantitative indicators and the qualitative
indicators by data envelopment analysis and analytic hierarchy
process, respectively. The proposed approaches are able to acquire aranking of the cost-effectiveness of hospital materials. Following ourcase study, we conclude that the proposed approaches may serve as
more objective and effective decision-support tools for thedecision-makers.

2-tuple Linguistic Prioritized Harmonic Applied to Group
Decision Making
Jin Han Park1, Jong Jin Seo1, Young Chel Kwun2
1
Pukyong National University, South Korea
2
Dong-A University, South Korea

In this paper, we develop some 2-tuple linguistic prioritized
aggregation operators such as 2-tuple linguistic prioritized weighted
harmonic (2TLPWH) operator and 2-tuple linguistic prioritizedordered weighted harmonic (2TLPOWH) operator, and study somedesirable properties of the operators. Then, we apply them todevelop approaches to multiple attribute group decision making,with linguistic information, in which the attributes are in different
priority levels. Finally, an example is used to illustrate theapplicability of the developed approach.

The Associations between Professional Commitment,
Learning Burnout, and Grade Point Average inIndependent College Students

Aiqun Yu1, Ji-Wei Ma2, Yi-Wen Chen2
1
Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academyof Sciences ;Canvard College, Beijing Technology and Business University, China
2
Institute of Psychology, Chinese Academy of Sciences, China

This study was conducted to investigate the features of independent
college students in professional commitment and learning burnout.
390 students were chosen from an independent college in Beijing.
The levels of professional commitment, learning burnout and GPA
were measured by scales for professional commitment and learning
burnout. The data were analyzed by correlation and regression
analysis. There existed a significant difference in the dimensions ofprofessional commitment and learning burnout and total scoresamong different grade students in the independent college. The
levels of professional commitment and learning burnout weresignificantly related with grade point average. Our results provided
a theoretical basis for the teaching reformation of independent
colleges.

AHP in Prioritizing Vibration Parameters for Maintenanceof Machine Tools
Manjunath Gowda1, H. N. Suresh1, K. M. Basappaji1
1
Jawaharlal Nehru National College of Engineering, India

With the development of industry, machineries are becoming
increasingly complex with extreme demands of equipment
availability, reliability and maintainability. In order to accomplish
this goal, efficient and continuous maintenance strategies need to be
implemented. Vibration analysis is one of the most popular
techniques for the maintenance of machinery. There are several
parameters which contribute to the vibration of machines. This paper
presents analytic hierarchy process to prioritize from among several
parameters under different conditions which contribute to vibrationof machines. T. L. Saaty’s theory and expert elicitation is applied for
ranking the parameters. Pair wise comparison parameters under
different working conditions of the machine is done, vibration levels
are obtained and are represented graphically and are comparedagainst each other, to rank the parameters which cause morevibration than the other.

Mathematical Programming Model for Type-I Two-sided
Assembly Line Balancing Problem
Hsiu-Hsueh Kao1, Din-Horng Yeh2, Sih-Ting Huang2
1
Tamkang University, Taiwan
2
National Chung Cheng University, Taiwan

Two-sided assembly line balancing problem (TALBP) is commonly
seen in the industries of assembling large-size products; typicalexamples include automobiles, buses, trucks, etc. Unlike thetraditional assembly lines, assembly tasks in TALBP must beprocessed on both sides of the assembly line. Only limited researches
discuss the issues of TALBP. We consider in this study the so-called
type-I TALBP (TALBP-I), and the objective of this study is to propose
a mathematical programming model to find the optimal task
assignment of TALBP-I. An illustrative example is given to show theeffectiveness of the model. We also show that, through numericalexperiments, the model can be extended to solve type-II TALBP(TALBP-II).

The Design of an AGV in the Manufacturing Cell

Suksan Prombanpong1, W Kiattiphatthananukul1, A Songsanan1, Assariya
Sukin1
1King Mongkut’s University of Technology Thonburi, Thailand

An automated material handling system is a must for an automatedproduction system. An AGV (automated guided vehicle) therefore is
one of the promising carriers used in the production line as a link
between stations. However, an algorithm for determination numberof AGVs required to satisfy the production is not quite prevalent andsometimes it is complicated. This paper aims to demonstrate acalculation of AGV required and then to verify the result by asimulation program. It is found that this proposed methodology isvery useful and applicable for an early stage design of AGV. In the
study case with 15 stations and elapse time ranging from 7 to 233
minutes. The required number of AGV is 8 units with 87.76%
utilization and 3.44 second system waiting time.

The Improvement in the Reliability Problem for Air
Current Breaker’s Over Current Protect Function

Cheng-Chung Chien1, C.N. Chang1, Yung-Tang Wu1, C. C. Tseng1, D.H.
Chiu 1, J.K. Wan1, C.S. Wu1, C.T. Hsu1, E.D. Chen1, F.H. Li1, T.H. Shao1
1
Tainwan Semiconductor Manufacturing Company, Taiwan

Almost all plants have the experience of ACB’s overcurrent relay(OCR) unexpectedly trip event. Each accident will cause a huge
production loss. But manufacturers of OCR can’t afford thecost-effective solution of problem. The most used solution is to installan additional relay (ex.ABB Relay B) to replace the function of the
ACB’s OCR or to adopt a new ACB to replace the old one. These two
uneconomical solutions are not only high cost but also time
consumption on annual PM. Thus, authors proposed a novel solution
by interlocking the main ACB’s relay and the feeder ACB’s OCR
function to prevent the ACB tripped by OCR false tripping signal.
This method does not require additional relay and current
transformer. Therefore, it is a cost-effective and time saving solution.

A Study of Software Reliability Growth Model for
Time-dependent Learning Effects
Kuei-Chen Chiu1
1
Hsing Kuo University of Management, Taiwan

This paper considered time-dependent learning effects in thesoftware reliability growth model which Chiu et al. (2008) provided
from the perspective of learning effects and would be able toreasonably describe the S-shaped and exponential-shaped types of
behaviors simultaneously, and had better performance in fitting
different data with consideration of a constant learning effect toenhance the model. This study assumed learning effects were dependon the process time and improved the model with linear-learning
effect and exponential-learning effect to discuss when and what
learning effects would occur in the software development process.
This paper also verified the effectiveness of the proposed model withR square (Rsq) and compared with other models by using thecomparison criteria with real data set. The results revealed that the
proposed model shows good fitting in the data set which softwaredevelopment process exists time-dependent learning effects.

6363Research on Machining Process Reliability in
Multi-procedure Machining Processes

Insertion Loss Analysis of Perforated Panel Muffler Using
Finite Element Method with Equivalent Fluid Model

The performance evaluation of machining procedures based on
historical data is the key criteria in multi-procedure machining
process planning. Current evaluation methods for machining
procedures focus on the dimensional variations in key productcharacteristics, which may face the computation complexity whenlarge number of procedures are involved. Therefore, this paper
introduces the definitions of machining process reliability andcorresponding machining process reliability block diagrams(MPRBDs), to be applied to evaluate the performance of procedures
for machining process planning. The definition of machining processreliability is different from that of traditional reliability, and leads us
to evaluate machining process' performance of ensuring productquality characteristics in terms of reliability. The machining processreliability models are presented to describe the impacts between themachining procedures and on the machining process reliability as
well.

Acoustic finite element method is normally employed to predict theattenuation characteristics of mufflers such as perforated panel
mufflers which are widely used to reduce the pneumatic noise
generated by exhaust air flow. Assuming the perforated panel as anequivalent fluid to establish the specific acoustic impedance, themeshing is simplified for improving the computational efficiency.
Furthermore, experiments measure the insertion loss of a kind of
muffler with double layers of cylindrical perforated panels, andcertify the validity of the proposed equivalent fluid method
comparing with the classical Sullivan and Crocker model.

Ping Jiang1, Yunyan Xing1, Yajie Liu1, Bo Guo1, Gan Lin2
1
National University of Defense Technology, China
2
EAAF, China

Vibrations of Timoshenko Beams with Damping andForcing Terms
Norio Yoshida1
1
University of Toyama, Japan

We investigate the vibrations of Timoshenko beams with external
and internal damping terms and forcing terms by mathematicalmethod. In particular, we study the existence of zeros of solutions of
Timoshenko beam (of length L) equations in a cylindrical domain f(x;t); 0 < x < L; t > 0g. End conditions to be considered are hinged ends
(pinned ends), hinged-sliding ends and sliding ends. Our approachis to reduce multi-dimensional problem to one-dimensional problem(i.e., a problem for ordinary differential inequalities).

A Performance Comparison Between the Base Stock (BS),Traditional Kanban Control System (TKCS) and Extended
Kanban Control System (EKCS)
Alvin Ang1
1
Nanyang Technological University, Singapore

This paper presents a simulation experiment done comparing theSingle Stage, Single Product Base Stock (BS), Traditional Kanban
Control System (TKCS) and Extended Kanban Control System(EKCS). The results showed that BS incurs the highest cost in all
scenarios; while EKCS is found to be effective only in a very niche
scenario. TKCS is still a very powerful factory management system todate and it was a letdown that EKCS did not perform exceptionallywell. The only time EKCS did outperform TKCS was during low
demand arrival rates and low Backorder (Cb) and Shortage costs (Cs).
That’s because during then, it virtually holds no stock. The mostimportant discovery made here is that EKCS becomes TKCS once it
has base stock (or dispatched kanbans). But this is difficult to spot
especially when their schematics look so different. The results havealso evinced the strength of the pure kanban system, the TKCS over
BS. Hence managers using BS should consider upgrading to TKCS tosave cost in all scenarios.

Air Traffic Management of an Airport Using Discrete
Event Simulation Method

Maurizio Bevilacqua1, Filippo Ciarapica2, Giovanni Mazzuto1, Leonardo
Postacchini2
1
Università Politecnica delle Marche, Italy
2
Free University of Bolzano-Bozen, Italy

This study aims to show an approach to model and solve the airport
congestion problem, through the use of a discrete event simulation
software. After analyzing the operation of an airport, we modelled it
in a discrete event system, in order to carry out, through simulation
software Simul8, a prediction of the behaviour of such a system,
varying conditions and parameters. In particular, we wanted to study,
in terms of economic benefit, the option of airport expansion.
Therefore we examined the expansion hypothesis to 2 and 3 tracks ofa single-runway airport, so to evaluate the economic convenience ofany new situation, based on the relative change in total cost of theflight queue.

Jingxiang Li1, Shengdun Zhao1, Kunihiko Ishihara2
1
Xi'an Jiaotong University, China
2
The University of Tokushima, Japan

Personnel Selection System Framework Research
Zhengsheng Han1, Hongyan Dui1, Shudong Sun1
1
Northwestern Polytechnical University, China

Based on the personnel selection problem drawn from a university in
China, this paper proposes a technology roadmap using Bayesian
network, reliability and importance measure. Three key technologies
are analyzed. First, extracting the features of the personnel selection
for one university, an extended Bayesian network model framework
is introduced and the basic properties of model are analyzed. Second,the evaluation method of the reliability of the personnel selection
system is gave using the universal generating function (UGF) and the
key factor of the personnel selection system are sketched based on
the importance measures. Third, the framework of themulti-objective optimization of the key factor is described. This
provides theory basis and technology support for personnel
management.

From Individual Creativity to Team Creativity

Liqun Wen1, Mingjian Zhou1, Qiang Lu1
1
Harbin Institute of Technology Shenzhen Graduate School, China

The literature of team creativity assumed that whether a team iscreative depends on how creative its individual members are. But thequestion has not been confirmed yet. This paper identified theindividual creativity as team leader’s creativity and team members’
creativity and examined the issue of how individual creativity affects
team creativity.

Application of Affective Engineering in the Opening andClosing of Sport Utility vehicle Tailgates
Taebeum Ryu1
1
Hanbat National University, South Korea

The effort in opening and closing a tailgate of sport utility vehicles is
an important factor of affective quality. This study aims to analyze
the effort and satisfaction of customers in the opening/closing of SUV
tailgates with related mechanical characteristics. A total of 100
participants evaluated their effort and satisfaction in opening/closing
the tailgates of 42 SUVs. A mixed-factor analysis of variance wasconducted to determine the significant mechanical properties oftailgates that affect effort and satisfaction. The effort and satisfaction
in closing tailgates was found to be affected by three properties of theforce-angle graph of tailgates: middle force, maximum force morethan initial force, and range of angle of steady force. Tailgate opening
was found to be affected by two properties: initial force and entire
angle range of the force-angle graph. Subjective effort andsatisfaction in the opening/closing of tailgates were modeled
statistically based on these significant properties.

The Impact Study of Transformational Leadership Style on
Organizational Success
Akechai Judkrue1
1
Assumption University of Thailand, Thailand

The exploratory study describes the influence of transformational
leadership (TL), the latest and most promising phase in theevolutionary development of leadership theory, towards
organizational success. This research demonstrates the impact of fourcharacteristics of TL, namely Individual Consideration (IC),Intellectual Stimulation (IS), Inspirational Motivation (IM), Idealized
Influence (II), on organizational success through different factors.
The researcher identified nine factors, including Organizational
Vision, Goal Settings, Team Work, Organizational Commitment,
Empowerment, Communication, Innovation, Motivation and Task
Performance, which represents independent variables in the research

6464model. The conceptual framework was developed based on
secondary data, i.e. conference papers, journal papers, online
databases, etc. and eventually verified by primary data, throughsurvey data from the employees of Multi-National Companies(MNCs) of Bangkok, Thailand. Research findings would unlock
further frontiers for organizational key personnel to obtain effective
and fruitful decisions in order to develop successful organizations.

problem solving process that covers all concept design activities. To
address this gap, the authors develop a systematic approach to
product concept design based on the problem-oriented concept. Also,
the authors provide a case example to demonstrate the effectivenessof using this method in NPD context, and further illustrate some
implications through the managerial perspective.

The Effect of Online Service Failures on Consumer
Repurchase Intention Basing on Mainland China Online
Retailing

Multi-project Planning and Optimisation for Shipyard
Operations

The research focuses on the issue of service failures in online shops,
and its effect on customer repurchase intention. Basing on thetheories of marketing and psychology, this paper proposes theconcept of perceived service failure, analyzes the relationship among
perceived service failure, perceived loss, perceived service quality,
satisfaction, trust and repurchase intention.

Shipyards are operated by projects. Effective project planning is
critical for shipyards to compete for business in a complex andtime-constrained environment. This paper addresses some pain
points in planning and optimisation work at shipyards and presents
a solution developed based on Microsoft Project Server for managing
and optimising the deployment of critical resources so as tomaximize the project profits. It discusses the methods for identifying
the critical chain for multiple projects, and optimising theirmakespans with constrained resources using overtime andoutsourcing strategies. Initial results are finally presented toshowcase the viability and efficiency of the solution.

Junfeng Liao1, Linlin Zhong11South China University of Technology, China

Exploring the Intention of Customers to Use Innovative
Digital Content Information Technology
D.Y. Sha1, Guo-Liang Lai2
1
Chung Hua University, Taiwan
2
National Chiao Tung University, Taiwan

Differing from previous works, this study explores the critical factors
affecting the intention of a customer while using innovative digitalcontent information technology in a retail store. Based on theliterature of Technology Acceptance Model (TAM), this study
proposes to construct a test model and adopts structural equation
modeling (SEM) to test the model. All data collected from 101
customers were used to evaluate the proposed model. Based on our
test results, we found that all path relationships are significant in the
hypothesized model. Thus, the results of this study strongly support
feedback and operations interface simplification as factors that canaffect intention to use innovative digital content information
technology.

New Formal Approach To Project Critical Buffer
Tomasz Blaszczyk1, Pawel Blaszczyk2
1
University of Economics, Poland
2
University of Silesia, Poland

This research focus on the problem of modeling and optimizing thetime-cost trade-offs in project planning problem with taking into
account the behavioral impact of planned human resources. As adistinct from the original Goldratt conception and heretofore
research results and known applications we proposed an approachtaking advantage not only from task duration overestimations, but
primarily from overestimations of amounts of work expected to its
completion. Proposed problem description contains both safe andreasonable amounts of work estimations. At the recent stage of
research we introduced the influence factors matrix with thepossibility of flexible resources assignment. The model uses amechanism of motivating the resources through the creation of
bonus fund from the pool of savings. Theoretical considerations areillustrated by the numerical example.

Investment Decisions on the Case Industrial Port BOT
Project
Tyrone T. Lin1, H.C. Su1
1
National Dong Hwa University, Taiwan

This paper, by practicing the method of build-operate-transfer to rent
an industrial port, aims to analyze the feasibility of the financial
investment project and to supervise the uncertainty of a long-term
operation period by leading different financial rates. It is the key
point for the win-win among the government, the case company, andthe industry. Whether the model evaluation works or not depends on
the internal rate and the return method. The analysis on investment
and the cost of capital rate differ on the project feasibility and on how
to construct a proportion; on the other hand, the capital contribution
rate and self-compensation rate provide a reference for the project.

Allan Nengsheng Zhang1, B. Ma1, D. Loke2, S. Kumar2, Y. Y. Chan2
1
Singapore Institute of Manufacturing Technology, Singapore
2
Astoria Consulting Pte Ltd, Singapore

Research on Jiangsu PV Solar Industrial Cluster
Upgrading Driven by RJVs
Lan Chen1, Bo Wu2
1
Hehai University;Yancheng Institute of Technology, China
2
Hehai University, China

As economy develops, environmental degradation and resource
crisis have become prominent. Under this situation, this paperchooses the PV solar industrial cluster as the research topic. Existing
literature shows that RJVs are an effective form of cooperated R&D
and play a great role in promoting technology advancement. This
paper is based on the RJVs theory. We analyze the status of Jiangsu
PV solar industrial clusters and find that low value added andexcessive reliance on foreign markets are challenging the clusters. It
is viable to form RJVs in order to solve these problems.

Exploring the Impact of Patent Expenditures on
Performance: Evidence from Chinese Stock Market
Xin Li1
1
Chongqing University of Technology, China

This paper examine whether firms' patent investment leads toperformance. Unlike the previous studies, this paper employs patent
expenditures measures of patent indicator. Our results show thatprior patent expenditures have a positive effect on firms' current andthe next 2 years performance. This paper also finds that the relation
between patent expenditures and performance is shown to be muchstronger when the performance is measured by market indicator
than when the performance is measured by accounting indicators.

Leader’s Values, Abusive Supervision, and Employee
Performance: A Theoretical Model
Xiaoli Wen1, Chunhua Chen1
1
South China University of Technology, China

Leader’s values play a key role on the leadership effectiveness. The
study of leader’s values on the abusive supervision is scare by now.
Based on the theories of leader’s values and abusive supervision, thispaper considers the relationship among leader’s values, abusive
supervision and employee performance, proposes a new theoreticalmodel and corresponding propositions. In this theoretical model,
abusive supervision mediates the relationship between leader’svalues and employee performance. Finally, the paper gives somesuggestion on the future research.

A Trimming Design Method for Product Innovation

Research on the KMS for Small and Medium
Manufacturing Enterprises based on ASP and CSPThis paper proposes a systematic innovation approach by integrating
the function analysis and trimming method into the conceptual
design activities of new product development (NPD). Concept
design is considered to be one of the pivotal phases in NPD process
which has a significant impact on downstream NPD activities such asideas selection and detail design. Despite the recognized importanceof concept design, there is a lack of a systematic and effective

In the light of the knowledge management problems which exist in
SMMEs (small and medium manufacturing enterprises) of China, anapplication model of KMS for SMMEs based on ASP (Application
Service Provider) and CSP (Cloud Service Provider) is put forward inthis paper, and its structure and superiority are analyzed. Then theconstruction scheme of KMS for SMMEs based on ASP and CSP isstudied: the platform architecture is expounded in detail, as well as

Yao-Tsung Ko1, Ping-Hong Kuo1
1
Tunghai University, Taiwan

Huiyu Huang1, Jianying Luo1, Zhicong Zhang1
1
Dongguan University of Technology, China

65

65

the development model and major implementation technique of theplatform are explained in brief. For making full use of theirrespective advantages of ASP, ISV (Independent Software Vendor)
and CSP and taking full account of the feature of SMMEs, this system
and application model have the characteristics of convenient, flexible,
economy, efficiency. This research has a certain practical significanceto promote the application of KMS in SMMEs.

Temporal Network Analysis of Emerging Technologies:
Topic Transition in World Wide Web (WWW) Conferences
Kazuma Arino1, Takao Furukawa1, Nobuyuki Shirakawa1, Kumi
Okuwada1
1
National Institute of Science and Technology Policy, Japan

This paper proposes the use of temporal network analysis ofconference sessions to examine the evolutionary process of emerging
technologies as significant information for strategic R&D
decision-making. This study examines the emerging processes of
rapidly growing web based technologies by analyzing World Wide
Web (WWW) conferences over the latest decade. Temporal networks
are demonstrated through scientific and technical streams relating
Social Network and Monetization. In particular, the transition from
E-community in 2006 to Social Networks in 2008 strongly affects later
research. Monetization originates from the Auction and E-Commercesession in 2002 and is derived from Advertisements & Click
Estimation and Sponsored Search. The conference session titles canbe considered as conceptualized meta-knowledge created by thescientific community. The proposed method has the advantage of not
requiring any prior knowledge in conceptualization compared tobottom-up clustering techniques used in citation analysis and text
mining.

Knowledge Asset-based Three-stage Model of Innovative
Enterprises Evolution
Yunmei Wang1, Chunlin Si1, Fan Xia1, King-Lien Lee2
1
Fudan University, China
2
National Taipei University of Technology, Taiwan

Innovative enterprises achieve sustainable competitive advantages
by means of innovation instead of anything else. During this process,knowledge assets and the value-adding activities related always playa fundamental role which changes in accordance with the evolutionof sustainable competitive advantages and results in the evolution ofdifferent business models of innovative enterprises. Based on theanalysis of these correlative changes, the knowledge-based
three-stage model of innovative enterprises evolution is proposed.
Basically, it illustrates the development of innovative enterprises
from technology management, to innovation management, and tointellectual property operation. At each stage, the types ofknowledge assets and core value-adding activities are summarized
and the according business model of innovative enterprises issuggested respectively. The hypotheses are further testified with acase study of Baosteel Group Corporation in China and the policies
for incubating innovative enterprises are suggested thereafter.

Modelling Ontology for Supporting Human Resource
Planning Process

Rohayati Ramli1, Mohd. Noah Shahrul Azman1, Mohd Yusof Maryati1
1
Universiti Kebangsaan Malaysia, Malaysia

Manpower planning is complex and demanding task, because inestablishing the factual insights of an enterprise, one is required tohave the in-depth knowledge of forecasting manpower planning andpractices, as well as the knowledge of macroeconomics of theparticular business involved. Inconsistency information and lack ofknowledge during decision-making process could generate toinaccurate decision. In addition, massive amount of information in
unstructured forms need to be managed into a systematic manner.
The aim of this research is to develop a generic ontology-basedarchitecture for supporting manpower planning and proves theeffectiveness of integrating information extraction from diverse
source in supporting information for manpower forecasting.
Ontology is built to capture and structure domain expert knowledge
based on criteria and preferences for selecting manpower forecasting
adjustment. Currently, the framework is under development as a
research prototype.

Patent Portfolio Efficiency Using Data Envelopment
Analysis: Case of Wind Power Market
Rahul Kapoor1, Matti Karvonen1, Tuomo Kassi11Lappeenranta University of Technology, Finland

Predicting the success of emerging industries is difficult due to theuncertain response of markets and mixed nature of technologicalsignals. In order to ensure success, firms attempt to blockcompetitors through patents or achieve standardization of theirtechnologies. This paper uses Data Envelopment Analysis tomeasure the efficiency of patent portfolios held by firms in the wind
power market. The value indicators are measured using the casefirms’ patent data from the EPO worldwide PATSTAT database. The
value indicators are then used as outputs to measure the relative
efficiencies of the patenting firms. These indicators can be used bytechnology managers to assess the quality of patents, thus providing
a basis for patent pricing and licensing. The results can help investors
determine the future success of firms in the uncertain environment ofemerging industries. R&D managers can benefit by evaluating thestrengths and weaknesses of their patent portfolio.

Study of Supplier Support through New ProductDevelopment in System Integration Industry - Comparisonof Case Studies based on Different Product Newness
Min-Sun Wuang1, Kuei-Fei Yang1
1
Fu Jen Catholic University, Taiwan

This study takes different degrees of product newness as a focus for
examining both new and upgrade products as variable factor, as wellas the issues and support involved in new product development. Six
cases are used to analyze supplier support application. The study
shows that enterprises should seek different degrees of support fromsuppliers when facing different technical and non-technical problems.
Regarding technical issues, for really new products it is argument
setting of supplier support; for upgrade products it is argument
setting of supplier support. Regarding non-technical issues, for reallynew products these refer to planned applications of supplier support;
for upgrade products these refer to planned applications of suppliersupport.

Impact of Passionate and Charismatic Leadership on
Creativity and Innovation within SMEs
Wilson Maladzhi1, Bingwen Yan1, Oluwole Daniel Makinde1
1Cape Peninsula University of Technology, South Africa

Since South Africa's political transition in 1994, the business
community was overwhelmed due to dynamic customer demands,
organizational changes, increasing globalization and competition.
Additionally, traditional leadership approaches still dominant in thecurrent transformational dispensation. Lack of innovative leadershipresulted in deprived employees an opportunity to be creative andinnovative. This study analysed the impact of passionate andcharismatic leadership on creativity and innovation culture within
the Small Medium Enterprises (SMEs). A structured questionnaire
was employed for data collection. A group of employees (n=367)
from 50 SMEs in the Western Cape were involved. The findings
indicated that some key leadership characteristics did not impact on
creativity and innovation culture positively in these SMEs. Bothpassionate and charismatic leaders lacked innovative nature. We
suggested that leaders should enforce the spirit of teamwork andbuild up trust and loyalty among employees, make efforts in R&D
while maintaining transformational style. This will foster creativity
and innovation culture for long term sustainability.

Analysis of RFID Technology on Controlling Shrinkage
and Anti-counterfeiting in Luxury Industry
Wei Xu1, Zhaotong Lian1, Xifan Yao2
1
University of Macau, China
2South China University of Technology, China

Motivated by radio-frequency identification (RFID), it has beenheralded as a major breakthrough to enhance the efficiency of a
supply chain. This paper aims to explore the prospects of RFID
investment value in luxury market, by mainly focusing on the
optimal investment strategies, in order to optimize ordering quantity
and maximize the profits. We compare two scenarios in a three-levelsupply chain involving a manufacturer, a distributor and a retailer.
Each scenario is developed for two situations under conditions withor without the implement of RFID. According to the luxury
consumption psychology of consumers and the luxury market
characteristics, we mainly consider the case of inventory shrinkage
and try to effectively control the issues of mis-categorization, theft
and anti-counterfeiting. Finally, we present numerical analyses.
Therefore, the research of RFID application in this paper has
important theoretical value and great practical significance.

66

66

The Service Science Practice Research: A Proof of Service
Concept on i236 Project in New Taipei City
Hung Chih Lai1, Yao Cheng Yu2, Kae Kuen Hu2, Hui Shan Kuo2
1
Shih Chien University, Taiwan
2
National Taiwan University, Taiwan

The process of proof of concept (PoC) plays an important role inservice implementation. In the past, studies on proving ground werelimited in a small area with uncompleted scenarios, so the experienceof service and marketing activities could not be duplicatedcompletely to an another area. This study employed a case study,
through Far Eastern Group's experimental service in Banqiao districtof New Taipei City, to provide some empirical service design andimplementation concept driven by the methodology of the INSIGHT
Center of National Taiwan University. The essay was found out themethodology was useful to carry out some parts of the process first.
It was also exposed problems of coordination with different
stakeholders, such as lack of communication, too short time tocooperate smoothly even in the same enterprise group, and so on.
The PoC challenges firms' structures and implies firms need more
powerful top-down and bottom-up communication..

The Evaluation of Enterprise Manufacturing Services
Maturity Model
Hao Li1, Yangjian Ji2, Xinjian Gu2, Guoning Qi2
1
Zhejiang University, Zhengzhou University of Light Industry, China
2
Zhejiang University, China

As the profit of manufacturing enterprise reduces, thetransformation of development mode becomes urgent. The
implementation of Modern Manufacturing Services (MMS) helps toimprove the enterprises’ profit, and becomes one of the best ways forenterprise transformation. The implementation of MMS needs amodel to evaluate the enterprise’s current service development phase.
This paper firstly puts forward an Enterprise Manufacturing Services
Maturity Model (EMSMM), which contains four phases and twolevels. Then, this paper gives evaluation methods for service phaseand service level. Finally, a Chinese transformer enterprise
implements the MMS and adopts the methods put forward in thispaper. The result shows that the EMSMM can provide effective
scientific decision-making and support.

Ten Steps in Mixed Engineering Education and Training
Hsing-yu Hou1, Huey-shing Tsai1
1
University of Transworld, Taiwan

Traditional teaching methods are curriculum-centered such as single
subject, product oriented, isolated teaching and learning andstandards driven. It seemed teacher-centered and lacked ofinteraction of learners. This research listed all the advantages ofcurriculum-centered and learner-centered. Through experiencesharing in mixed engineering education, the experts can discuss witheach other and create more innovational training ways in the future.

Bilingual Teaching Practices of "Quality and Reliability
Engineering" Course
R. Jiang1, T. Wang1
1
Changsha University of Science and Technology, China

This paper summarizes the practices in teaching the undergraduate
bilingual course “Quality and Reliability Engineering”. Main
attempts are outlined, and the feedbacks from the students taken thiscourse are analyzed. Based on the teaching field observation andanalysis outcomes of the feedbacks, the main achievements obtained
from the course learning and the aspects for improvement are
identified. The main conclusions are (a) teaching efficiency andeffectiveness can be considerably enhanced by incorporating theteaching of subject knowledge with application of professional
English and Excel, (b) the learning interest of students can beconsiderably excited by inquiry-based learning and introduction of
more real-world illustrations, and (c) sufficient after-class training isimportant for ensuring the teaching quality.

An Empirical Study on Influencing Factors of Consumer
Behavior of Engineering Insurance
Li Dong1, Yan-ling Liu1
1
Tongji University, China

Based on the theory of planned behavior, a structure equation model
was set up to study how consumption environment, perceived value
and insurance consciousness of engineering insurance affect theconsumption intention and consumer behavior. The model results
showed that the consumption environment, perceived value, andinsurance consciousness of engineering insurance exhibit asignificant positive correlation with consumption intention. Further,
the consumption intention of engineering insurance positively
correlated with consumption behavior. All the results support thetheoretical model and are in agreement with all hypotheses. At theend, management enlightenments derived from the model results
were presented.

Evaluating the Reliability of Infrastructure Networks by
Resilience Analysis
C.Y. Lam1, K. Tai1
1
Nanyang Technological University, Singapore

Infrastructure networks are highly interrelated to the prosperity,
security, economy, and public health of the modern world. As such,any disruption in the infrastructure network poses a significant
damage to society, therefore this paper presents a resilience analysis
approach to evaluate the reliability of infrastructure networks so as
to quantitatively determine the ability of a network to cope withcomplexity under disruption as well as to develop foresight in safety
management. Under resilience analysis, an infrastructure network is
modeled as an undirected graph with nodes and edges, and theresilience of the whole network can then be evaluated by theweighted sum of the resilience of all the reliable independentconnection paths between all pairs of nodes. The proposed approachis also illustrated in a portion of a rail network, and the results
indicate that the ability of the network to cope with complexity under
disruption can be explicitly known.

Visionary Leadership as a Catalyst for Innovative Culture
in SMEs
Bingwen Yan1, Wilson Maladzhi1, Oluwole Daniel Makinde1
1Cape Peninsula University of Technology, South Africa

Innovation culture is relatively at a slow pace in South Africa
compared to other countries. Leadership plays a critical role increating an innovation culture within orgainsations. Due toglobalization, uncertainties, technology, lack of skills and innovative
leadership style, many orgainsations are struggling to survive firmly.
This study was aimed to develop an innovative model by applying
the key characteristics of visionary leadership to create an innovation
culture in Small and Medium Enterprises (SMEs). A comparative
analysis covered both employees (n1=366) and leaders (n2=56) from agroup of SMEs in the Western Cape. A Likert scale questionnaire wasdesigned for data collection. The relationship between employees
and leaders regarding the visionary leadership characteristics were
tested. The results showed significant impact of leadership on
innovation within SMEs. However, it is further revealed that leaders
should enhance their leadership styles by bringing employees tobecome future orientated towards innovation.

Extra-cluster Knowledge Search and Innovation
Performance: An Empirical Study Based on Industrial
Cluster Firms from Yangtze River Delta in China
Ru-yan Hong1, Jianmei Miao2
1
Zhejiang University, Hangzhou Normal University, China
2
Hangzhou Normal University, China

In an open innovative system, cluster firms in technologically lagging
countries need especially establish linkages with extra-cluster
knowledge sources in order to help them achieve and sustain
innovation and avoid ‘entropic death’ of the cluster. This paper
examines the association between the extra-cluster knowledge searchof cluster firms and innovative performance. Based on a sample of
156 industrial cluster firms from Yangtze River Delta in China, theempirical results show that breadth of extra-cluster knowledge
search is curvilinearly (taking an inverted Ushape) related toinnovative performance. Search depth is linearly related toperformance. Moreover, absorptive capacities positively moderate
the relationship between knowledge search breadth and innovative
performance.

A Study of Regional Distributions and Dissimilarity
Measures for Multi-Scale Nonlinear Structure Tensor in
Texture Segmentation
Shoudong Han1, Yong Zhao1, Wenbing Tao1
1
Huazhong University of Science and Technology, China

To represent the orientation and scale differences of texture images
effectively, multi-scale nonlinear structure tensor (MSNST) has been
recently proposed to extrac1t the texture features in our previous
research [1]. In this paper, we extend the choice of regional

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distributions for MSNST, and express the statistics for the different
definitions of dissimilarity measure. We claim and demonstrate thatthe choice of regional distributions and dissimilarity measures is a
nontrivial task which has a deep impact on the texture segmentation.
The influences of them are experimentally compared and analyzed
based on the kmeans clustering method and Graph Cuts framework.
Experiments using a large number of synthesized texture images andreal natural scene images demonstrate the superior segmentation
performance of Gaussian Mixture Model (GMM) distribution with
Riemannian measure.

Research on Project Portfolio Management of ProductDevelopment based on 3D Visualization
Angang Wei1, Gang Zhao1, Changyu Chen1, Fei Wang1
1
Beihang University, China

Applying Portfolio management into product development would be
helpful to utilize and manage overall resources effectively andimprove production efficiency. In this paper, a three-dimensional
visualization method of project information is proposed for the
display, query, analysis and decision-making of project portfolio
information. The paper presents the application of the method in theprocess of project portfolio management of product development
and introduces the implementation process of a real project portfolio
management

Research of Idea Generation Process for Fuzzy Front End
Based on Patent Analysis
Jing Guo1, Ping Jiang1, Jingwei Guo1, Runhua Tan1
1
Hebei University of Technology, China

The product innovation is a topic of enterprise development, and FFE(fuzzy front end) is a key stage of the product innovation. With thedevelopment of FFE study, the enabling techniques of productinnovation (such as TRIZ, theory of constraints, unexpecteddiscovery and so on) took the role of innovation idea generation for
fuzzy front end. In order to help enterprise realize its own technicalstrength and the competitive situation, the paper proposed theresearch process of idea generation for FFE based on patent analysis.
Patent documents contain rich information, we can get someinnovation ideas through the research and analysis of theseinformation. Finally, we take the screw pump for example to verify
the feasibility of this method.

Virtual Human Emotional Behavior Model based on
Neural Network

Na Ren1, Tingting Zhao1, Hongjiang Wang1, Rongxue Zhang1, Wenqiang
Zhang1, Nan Zhang1
1
Shenyang Institute of Engineering, China

Virtual human emotional behavior model is the key technology ofintelligibility of virtual actor in behavior simulation. A virtual humanemotional model based on neural network is proposed in this paper.
This work is on the basis of virtual visions which calculate the feature
vectors of images through pixel extraction. After learning in neuralnetwork, the virtual human can act emotional behavior properly
according to his inside feeling and the object attitude toward him.
Finally, experiments proved this virtual human emotional behavior
model based on neural network applicable and effective.

Research on Image Matting Technology Based on Image
Edge Detection
Rongxue Zhang1, Tingting Zhao1, Renna 1, Hongjiang Wang1
1
Shenyang Institute of Engineering, China

There are still many problems, especially the coordination betweenedge detection accuracy and anti-noise performance,although thetraditional image edge detection method has been greatly developed.
In this paper we propose a key technique based on image edge
detection algorithm which adopts the Canny operator to accomplish
the job of edge detection and foreground object extraction from theperspective of image processing,also has been compared with otherdetection methods. The experimental results show that thisalgorithm is able to raise the sensitivity of foreground object
extraction evidently in comparison with some traditional image edge
detection methods.

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Session
Date
Time
Room
Chairs

Decision Analysis & Methods (4)Wed, 12 Dec
11:00 - 12:30
S221
Jin Han Park, Junzo Watada

Factors for the Introduction of RFID on the Distribution
IndustryHsin-Pin Fu1, Z.J Du2, A Lin3, Y.L Lin1
1
National Kaohsiung First University of Science and Technology, Taiwan
2
Ministry of Economic Affairs, Taiwan
3
National Taipei University, Taiwan

The purpose of this paper is to comprehensively understand theimportant level of each factor and objectively select the key factorsthat influence the adoption of Radio Frequency Identification (RFID)
by the distribution industry (including logistics and retailing) in
Taiwan. The fuzzy analytic hierarchy process (FAHP) is utilized tofind the weighting of each factor, based on opinions of RFID alliancemembers, including the distribution industry and RFID solution
providers. It is hoped that the research results can provide areference for the distribution industry in terms of their focus on
better allocation of resources to form appropriate strategies, which
will improve success rates, when adopting RFID.

Decision Evaluation for Damage Evaluation andPrevention Analysis in Bank Operational Risk
Management
Aron Larsson1, Sara Vickman1
1
Mid Sweden University, Stockholm University, Sweden

Operational risk is defined as risk concerning the company’s
processes, people and systems including both external and internal
events. SAFOR (Systemic Approach Framework for Operational Risk)
is a novel, holistic, and module based framework approach for the
management of operational risk aimed for banks. This framework
involves a component for damage evaluation and prevention (theDEEP method) where the utilization of methods from the area ofinterval decision analysis is proposed as a candidate building block.
The DEEP method is a semi-quantitative approach to risk
management, including identification of risks, selection of mitigating
options, and the follow-up of actions taken. In this paper we assess
the DEEP method in the context of SAFOR. The DEEP methodrelaxes the requirement for knowledge on frequency of risk eventsand affirms that answers are logically achieved. At the same time, it
makes the understanding of how preventive measures are selected a
bit exclusive.

Evaluating GHG Components using Artificial Intelligence:
Connection Weight Approach
Oludolapo Olanrewaju1, Adisa Jimoh1, Pulek Kholopane2
1
Tshwane University of Technology, South Africa
2
University of Johannesburg, South Africa

The obligation to control the fast increase of emitted greenhouse gas(GHG) for world climate change reduction is the duty of all countries.
The significance of the contributing factors to GHG emission, i.e., fuelfactor, intensity, economic structure and activity is investigated.
Connection weight approach of artificial neural network (ANN) was
employed for this study. This paper quantifies the variables
responsible for the GHG emissions over the period 1990 – 2000 in theindustrial sectors of Canada. It was discovered that activity effect
was the main determinant of the GHG emissions with fuel factor the
least significant. The investigation should give a clue to policymakers
on how to reduce GHG emissions.

impact than the plan focusing on societal orientation. However,given that the selected case study is a tax payer funded public R&D
organisation, the societal expectations have to be factored into its
innovation plan. A sensitivity analysis was therefore employed,
which indicated potential for a mixed orientation considering boththe commercial and societal orientation plans.

An Optimal LED Allocation System Based on Multilevel
Integer Programming Method
Haw-Ching Yang1, T.H. Tsai2, H.W. Chen2, F.T. Cheng2
1
National Kaohsiung First University, Taiwan
2
National Cheng Kung University, Taiwan

A light-emitting diode (LED) light bar for display monitor may becomposed from thousands feasible LED combinations due tosupplies of LED bins featured by voltage, illumination, andchromaticity. To control inventory levels by bins, this work proposesa novel multilevel linear programming based system capable ofmaximizing LEDs allocations of light bar work orders. Filtering fromfeasible LED combinations by the control table based operations, thetarget LED bins enable solving of each programming model by levels
efficiently. A case study in the TFT-LCD industry demonstrates thatthe proposed system can control inventory levels of the remaining
LED bins and reduce more than 70% of the original computationalloads, allowing allocation of LEDs for work orders in mean 1.73 min.

Analyzing Consequences of Diabetes Mellitus Using
Intuitionistic Fuzzy Set
Sujit Das1, Samarjit Kar2
1
Dr. B.C. Roy Engg. College, India
2
National Institute of Technology Durgapur, India

Diabetes is a chronic illness which may lead to several major
consequences in future like Vision Loss, Heart Failure, Stroke, Nerve
Damage and Foot Ulcer. There is no exact cure of diabetes, as a result
prevention and self-education is the only way to deal with it. In thisarticle we propose to analyze the consequences of diabetes mellitus
using intuitionistic fuzzy set. Using hamming distance and similarity
measurements this article has investigated the consequences which
may appear for a patient. We have proposed an approach using
entropy to analyze the result and ensured that the results are correct.
Also using entropy measurement it is scrutinized that someconsequences have almost no chances to appear.

Effects of Buyers Capacity Limitation in an Integrated Lead
Time Controllable Consignment Stock Inventory System
Huizhi Yi1, Bhaba Sarker1
1
Louisiana State University, United States

This paper aims to enable the decision maker of an integrated
vendor-buyer system, under Consignment Stock (CS) policy, to makethe optimal/sub-optimal production/replenishment decisions where
the buyer places a space limitation to the vendor and the lead-time iscontrollable with an extra investment. Because the developed models
are mathematically very difficult to solve, three doubly hybrid
meta-heuristic algorithms are employed to solve the models. The
computational results show that one of these three algorithms works
very well both in the sense of the success rate and the mean CPU time.
The analysis of the computational example also reveals thequantitative effects the buyer capacity limitation may have to theannual joint total expected cost (JTEC) of the integrated system.

The AHP-based Decision Making on Innovation
Trajectories in Public Research and Development
Organisations
Pawadee Meesapawong1, Yacine Rezgui1, Haijiang Li1
1
Cardiff University, United Kingdom

Executive staff of public research and development (R&D)
organisations worldwide are continuously faced with the challengeof exploring several innovation trajectories to attain their vision. The
decision making in this paper is reliant on the Analytic Hierarchy
Process (AHP) conducted in a case study drawn from Thailand, an
example of a developing country where public R&D dominates theresearch landscape in science and technology. The AHP study
provides a set of innovation factors as the criteria to meet the goal of
selecting the highest impact plan on innovation factors. The findings
reveal that the plan focusing on commercial orientation has higher

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Session
Date
Time
Room
ChairsHuman Factors (1)Wed, 12 Dec
13:30 - 15:00
S221
Seng Fat Wong, Jia-Hua Lin

Assessment of Architectural and Physical Factors in
Human Resources Performance in Project-Oriented
Organizations
Mona Foroozanfar1, Mahmood Golabchi1, Saied Yousefi1
1
University of Tehran, IranThis paper presents a forensic research about evaluating the impactof architectural and physical factors on the performance of humanresources in project oriented organizations. The objective is to study
how design and planning of working areas can influence the humanresources performance. In order to achieve this objective, two stages
are presented: analytical and statistical. In the analytical stage(Sections I, II, II), human resources performance, related literatureand schemes, and then criteria of office work are briefly studied. In
the statistical approach, surveys are carried out and the resulting
outcomes are discussed using five graphical representations. Thissystematic approach would result in a rationally persuasive andtheoretically justifiable guideline that can practically be used to
improve the efficiency of human resources performance andmanagement.

Effects of Load-Carrying Postures and Gender on Postural
Sway
Xingda Qu1
1
Nanyang Technolgoical University, Singapore

The objective of this study was to identify how load-carrying
postures and gender affect postural sway. Eight males and eightfemales (19-30 years old) participated in the study. The participants
were instructed to look straight ahead and stand upright on a force
platform as still as possible with feet together. A 10-kg load was
carried in three different postures during upright stance: anteriorload carriage, lateral load carriage, and posterior load carriage.
Objective postural sway measures and subjective ratings of postural
stability were used to assess balance control behaviors. Experimental
findings suggested that lateral load carriage appeared to be morestable than anterior and posterior load carriage, and the females
might have higher fall risks than males when carrying external loads.
Practical implications and limitations of the study were discussed.

Study on Construction and Implement of User Model in
Turret Display and Control System
Kan Zhang1, Qing Xue1, Minxia Liu1, Qiqi Yin1
1
Beijing Institute of Technology, China

To meet the personalized needs of different users during the mission,user-oriented adaptive human machine system has been put forwardin this paper. It is presented quaternary interaction user model andfuzzy comprehensive evaluation method for the establishment ofuser experience model. Quaternary interaction user model, whichadequately considers “human” “machine” interaction character, canmore roundly reflect characteristic for users using an adaptive
system. The basic idea and process of fuzzy comprehensive
evaluation method in detail has been introduced in this paper. Finally,an example to validate has been given. It is tested that the sorting
algorithm has superior usability and provides a new approach formodel construction in adaptive human machine interface.

The Comparison of Ergonomics Postures Assessment
Methods in Rubber Sheet Production
Panya Wintachai1, Nivit Charoenchai11Chiang Mai University, Thailand

The aim of this work is to study and compare the posturalassessment by using Rapid Upper Limb Assessment (RULA), REBA
(Rapid Entire Body Assessment) and Ovako Working Analysis
System (OWAS) methods. According to the working process, 25
operators (18 males and 7 females from the north-eastern of Thailand)
working in 9 processes, it can be seen that most working postures
were repetitive and the workstation caused uncomfortable working
conditions. The first step of the research is to record working
postures by camera and then the hazardous postures were assessed
by RULA, REBA and OWAS. The results of the study showed thatworking postures in rubber sheet production contained high RULA,
REBA and OWAS scores.

A Paper Prototype Usability Study of a Chronic Disease
Self-management System for Older Adults
Da Tao1, Calvin Or1
1
The University of Hong Kong, Hong Kong

To increase the usability of a new chronic disease self-management
system, we conducted a usability study of the system among older
adults with chronic diseases (n=33) using a paper prototype based on
the think-aloud approach. The metrics used to judge system usability
were the task incompletion rate, task completion time, frequency oferror, frequency of help, satisfaction, perceived usefulness, andperceived ease of use. We also interviewed the participants to elicit
their comments on the system design. The quantitative data wereanalyzed using descriptive statistics, and the interview data were
content analyzed. Overall, the participants were able to carry out the
self-management tasks with the current design, but several usability
problems were discovered with the system navigation, information
search and interpretation, information presentation, and readability.
The paper prototype study enabled us to identify these systemdesign weaknesses and to make suitable recommendations fordesign modifications.

Property of Worker Allocation Optimization with Two
Professional Workers in Limited-Cycle Multiple Periods
Xianda Kong1, Jing Sun2, Hisashi Yamamoto1, Masayuki Matsui3
1
Tokyo Metropolitan University, Japan
2
Nagoya Institute of Technology, Japan
3
Kanagawa University, Japan

In this paper, we deal with an assembly line with limited-cycle
multiple periods with two kinds of workers. Skills of workers are
assumed to be different. We consider an optimization problem forfinding an allocation of workers to the line that minimizes total
expected cost satisfying the demand. Then we propose a theorem of
the property of the optimal worker allocation and discuss the otherproperties in conditions.

Human-computer Interaction Analysis of Turret Based onContext-Aware
Li-Ying Feng1, Qi-qi Yin2, Li-tao Wang1, Qing Xue2
1
Zhuhai Campus Beijing Institute of Technology, China
2
Beijing Institute of Technology , China

Human-computer interface of turret currently is not friendly enoughbecause of the mobility, styles of input and output limitations andcomputing ability. But contexts of human-computer interaction are
not considered comprehensive in the process interface design.
Therefore, it’s vital for the operational efficiency to import a way ofhuman-computer interaction for interface based on contextaware,
which could have a good usability to enhance the users’
performances and satisfactions. The paper explored the category ofturret contexts and the context awareness, then presented a brief
overview of the context fusion in military field and illustrated its
potential through an example used in turret.

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Session
Date
Time
Room
ChairsHuman Factors (2)Wed, 12 Dec
15:30 - 17:30
S221
Xingda Qu, Saied Yousefi

Applied Human Factors Engineering in Advanced Carriage
Design of Mass Transport System
Seng Fat Wong1, Qili Chen1
1
University of Macau, Macau

Applied human factors engineering technology in carriage design ofmass transport system (MTS) can enhance ride comfort level andreduce disorder problems for the passenger. However, scientific andsystematic measurement that applied human factors engineering
methodologies for carriage design is incomplete on thecontemporary studies. This paper covers the scientific and systematic
measurement that applied human factors engineering methodologies
for sitting and stand up posture in the simulated carriage of MTS.
The main contributions of this study are to achieve the posture andforce analysis by the simulation of HumanCAD and the further
analysis and validation by the experiments under the simulated
lateral vibration for the carriage model with anthropometry and FSA
pressure mapping system. The solutions and recommendations ofadvanced carriage design are concluded with human factors
engineering analysis.

Managerial Compensation and Earnings Management:
From the Managerial Overconfident Perspective
Jing Sun1, Xiaofeng Jv1, Yanmin Peng1, Yue Chang1
1
Harbin Institute of Technology, China

This paper exams the relationship between managerial compensation
status and earnings management preferences, by sampling Chinese
non-financial listed A shares. The study shows that companies withhigher managerial compensation status tend to adopt more earnings
manipulation in both accruals and real activities. We also find thatcompanies tend to adopt real activity earnings management, if
managers have the absolutely compensation advantage in internalmanagement.

A Study and Survey on the Service Condition ofBarrier-free Facilities in the Transportation System with
Ergonomic Evaluation

Seng Fat Wong1, Lili Zhong1, Weng Keong Chan1, Weng Hou Leong1, Kin
Seng Ho1
1
University of Macau, Macau

This paper mainly conducts a study and survey on the service
condition of barrier-free facilities in the transportation system. It isapplied the ergonomic technology that including Forces Sensitive
Application (FSA) pressure mapping system, electronic hand
dynamometer, HumanCAD, and questionnaire survey to do theevaluation. The evaluation is focused on the elder and wheelchairuser. The results can contribute to reduce the disorder problems for
elder by the portable pedal design when the elder enters the vehicle.
Moreover, the results of ergonomic analysis can scientifically find out
the sitting posture problems for wheelchair users in ordinary vehicle
and special designed vehicle.

Association of Visual Abilities, Motor Skill andAnticipation Responses on Parking Performance

Bor-Shong Liu1, Hsien-Yu Tseng1, Tung-Chung Chia2, Tsung-Yen Ho1,
Yu-Ho Chen1
1
St. John’s University, Taiwan
2Ling Tung University, Taiwan

The purpose of present study was to examine the association ofvisual abilities, motor skill and anticipation responses on parking
performance. Results of analysis revealed that higher correction
between time of backward vertical parking and parallel parking. The
negative correction had found between range of visual field and timeof forward vertical parking. Subjects have wider visual field as better
performance of forward vertical parking. Furthermore, highcorrection had found between time of arm stabilimeter test and timeof backward vertical parking, parallel parking. In addition, results ofbinary logistic regression analysis found that there are twointeraction factors associated with performance of parallel parking,i.e. arm stabilimeter by curving path and mirror tracing. Errors timesof arm stabilimeter by curving path and errors times of mirror
tracing could be predicted the performance of parallel parking. Thus,
stabilimeter test and electrical-mirror tracing test could berecommended for predicting driving abilities.

An Airworthiness SHELL Model for Aircraft Maintenance

Tsun Tat Wong1, Sun Tong11Hong Kong Polytechnic University, Hong Kong
It is widely accepted that human errors rather than technical failures havethe greatest potential to adversely affect contemporary aviation safety. In
order to have a better understanding of how human factors and errors inaircraft maintenance may contribute to an aircraft accident/incident, a
new human factor classification scheme, the A-SHELL Model(Airworthiness-Software-Hardware-Environment- Liveware), has beendeveloped. Based on
airworthiness regulations, the generic humanfactor model is aimed to identify less-than-satisfactory interactions
between various components of the system and the aircraft maintenancestaff. In the model, airworthiness has been incorporated to bind all the
crucial SHELL Model elements together. The purpose is to provide a
better compliance with airworthiness regulations, which in turn would
enhance aviation safety. This paper outlined the impact of human factor
on airworthiness compliance in aircraft maintenance and an application of
A-SHELL model is demonstrated through a case study.

The Mediating Impact of Ergonomics Between Existing
Safety Culture And Targeted Safety Culture Amongst
Safety And Health (SH) Practitioners

Rozlina Md Sirat1, Awaluddin Mohamed Shaharoun 1, Norhayati
Zakuan1, Syed Abdul Hamid Syed Hassan2
1
Universiti Teknologi Malaysia, Malaysia
2
Ministry Of Human Resource, Malaysia
The aim of the current study is to investigate the perceptions of Safety and
Health (SH) practitioners on ergonomics importance at workplace and its
influence to safety culture. The study is important to show the role ofergonomics as mediating factor between existing safety culture practice(ESCP) and targeted safety culture practice (TSCP). A survey was doneusing a sample of 108 SH practitioners in Malaysian manufacturing
companies. Confirmatory Factor Analysis (CFA) is used to statistically test
a priori theoretical assumptions against empirical data. A model was
suggested and was modified using modification Index. Seven hypotheses
have been investigated. The finding discovered that there was a lack ofrelation between how people practiced safety and what an ideal safety
practice should be. In the Malaysian scenario, the ESCP does not
significantly influence the TSCP. However, the existence of beliefs onimportance of ergonomics at workplace significantly can influence the
TSCP. This implies that ergonomics should be seen as an important
agenda in safety culture activities in order to inculcate target safety
culture by 2020.

Ergonomics Effects of Work Pace And Work:Rest Ratio on
Repetitive Powered Handtool Operations

Jia-Hua Lin1, Raymond McGorry1, Rammohan Maikala1
1
Liberty Mutual Research Institute for Safety, United States
Repetitive power tool use is associated with work-related upper extremity
musculoskeletal disorders. Using a pneumatic nutrunner, 21 mencompleted twelve 360 repetitive fastener-driving sessions on three joints(hard, soft, and control) at slow and fast pace, and two different work:rest
patterns. Handgrip force, hand motion, and localized blood volume at theforearm were collected throughout each session. For the control joint, themean grip force exerted was 39.6% of maximum voluntary exertion (MVE)
whereas during hard and soft joint sessions it was 48.9% MVE and 56.9%
MVE, respectively. Further, a greater grip force decrease was resulted
while operating soft and hard joints as compared to the control joint,suggesting considerable upper extremity muscular effort. Fast work paceresulted in higher average grip forces by participants but a greater
decrease in the force as the session progressed. Providing rest breaks
reduced perceived exertions. The findings provide knowledge forassembly task design to reduce the hand/arm injury risks.

Causing Mechanism Analysis of Human Factors in the
Marine Safety Management Based on the Entropy

Haiyan Wang1, Tingting Dai1
1
Wuhan University of Technology, China
The unsafe behavior has been generally recognized as the main reason ofmarine accidents. How to control and reduce the accident in the maritime
safety management resulted from human factors is a prompt problem tobe solved. This article analyzes the marine safety management systemfrom the viewpoint of safety system engineering, and divides the humanfactors into personal factors and organizational ones, and thevulnerability theory of complex system based on the entropy is applied toanalyze the cause mechanism of human factors and a causing mechanism
model of human factors is established. It is concluded that thevulnerability relationships among vulnerability elements including man,machine and environment subsystem in ship safety management system
is completely vulnerability relations, namely the collapse of any
subsystem will affect the other subsystems

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Session
Date
Time
Room
ChairsOperations Research (4)Wed, 12 Dec
11:00 - 12:30
S222
Tatsushi Nishi, Kiyoshi Sawada

Investigating Sensitivity of Multi Response Optimization
Methods
Nitendra Gautam1, Om Prakash Yadav1, Bimal Nepal2
1
North Dakota State University, United States
2
Texas A & M University, United States

Design optimization dealing with several responses or quality
characteristics simultaneously has been a major issue withinmanufacturing industry. The conflicting nature of these responses
makes design optimization task more challenging and complex.
Several approaches have been suggested over a period of time but
are found highly sensitive to subjective input parameters such as
weight and target assignment. This paper investigates theeffectiveness of existing multi-response optimization approaches indealing with subjective input parameters and correlation among
responses. The paper further proposes a simple and practical method
which is highly robust to subjective input thus addressing theseissues.

Comparing Two Proposed Meta-Heuristics to Solve a New
P-Hub Location-Allocation Problem
Ali Ghodratnama1, Reza Tavakkoli-Moghaddam2, Armand Baboli 3
1
University of Tehran, Iran, INSA-Lyon, DISP Laboratory, France
2
University of Tehran, Iran3
INSA-Lyon, DISP Laboratory, FranceThis paper presents a sophisticated mathematical model, in which
the location of hubs is fixed and their capacity is determined basedon facilities and factories allocated to it. In order to feed the client's
nodes, different types of vehicles of different capacities are
considered, in which the clients are allocated to hubs, and types andnumbers of vehicles are allocated to the factory's facilities. To comeup with solutions we propose to use two meta-heuristic algorithms,
particle swarm optimization and simulated annealing. The efficiency
and computational results of these algorithms are compared with
one another.

Real Options Between Three Asymmetric Firms
Takashi Shibata1
1
Tokyo Metropolitan University, Japan

This paper examines the strategic investment timing problem in thecase of three firms with different cost structures. We extend thestrategic investment timing problem by allowing the number ofasymmetric firms to range from two to three. Surprisingly, we showthat the firm with the lowest cost structure is not always the firstinvestor in the investment timing problem with three asymmetricfirms. The mechanism of strategies in the case with three asymmetricfirms is quite different from that with two asymmetric firms.

Use of Shrinkage and Grouping Approaches to Forecasting
Seasonal Demand
Kui Zhang1, Pengyi Gao2, Ziwu Long1
1
Wuhan Polytechnic University, China
2
Huazhong University of Science & Technology, China

This paper extends the study of seasonal forecasting techniques bycombining James-Stein shrinkage estimator with one of group
estimators in different ways. In order to discover the conditions
under which the combination has advantage over original shrinkage
or group methods, this study is focused on the examination of two
key parameters: variance of random component and cross correlation
between different series. Through a simulation experiment designed
for the examination of the parameters, the performance of sevenestimators for seasonal forecasting is evaluated. The conclusions
finally deliver the guidelines for the choice of the best estimators
under a given set of conditions.

DEA Sensitivity Analysis on the Factors Responsible forIndustrial Energy Consumption: Case Study on the
Canadian Industrial Sector
Oludolapo Olanrewaju1, Adisa Jimoh1, Pulek Kholopane2
1
Tshwane University of Technology, South Africa
2
University of Johannesburg, South Africa

Energy consumption efficiency is a function of several input
variables governing the consumption patterns or behavior. The
degree to which efficiency responds to these variables and/or
combination thereof will give insight into strategies or ways to better
manage energy consumption within an industry. This paper
endeavors to evaluate the operation of Canadian industrial sector
between year 1990 to 2000, based on data from 15 Canadianindustries using Data Envelopment Analysis (DEA). The overall
operation is analyzed, and sensitivity analysis is used to appraise therole/relevance of various input factors and their combination thereof.

Arbitrage and Spread in FX market: an Extended Glosten
and Milgrom Model
Ming Ma1, Yufei Zhang2
1
Beijing Institute of Technology, China
2
Renmin University of China, China

Based on the arbitrage index developed in [6], the paper analyzes theimpact of information asymmetry on bid-ask spreads in FX market.
Unlike the classical models established in [3] and [5] whose main
focus is informational asymmetry induced by private channels, thispaper focuses on the asymmetry induced by differences of analyticalpower. Those who have private information might still suffer fromnoise trader risks before the true value is finally realized. However,arbitragers won’t. Hence, the arbitrage index established in thispaper as a measure of average arbitrage opportunity should bepositively correlated with bid-ask spreads.

Modeling Fixed-Sequence Multi-Stage News Agency for
Efficient Message Total System Time
Abdullah Abdul Jabbar1, Nashat Fors1, Seraj Abed2, Sherif Rabia1
1Alexandria University, Egypt
2King Abdul Aziz University, Saudi Arabia

News making is characterized by a complex and dynamic workflow,in which it is important to produce reliable news as fast as possible.
Usually, the workflow of news making consists of many stages
including Interpreting. Each stage consists of many stages withspecific processing procedures. The proposed study describes anovel multicriteria optimization framework for deriving optimal
number of processors in the Interpreting division to achieve efficient,timesaving and low-cost operation of the system. The task ofinterpreting division is formulated as an optimization problem ofsequencing jobs in a fixed-sequence, considering the total set up cost
and total tardiness penalty per hour as the criteria for optimization.
The application of the proposed framework has been discussed on apractical case of a news agency. In view of its (INLP) nature ,Computational experiments could not assure optimum solutions
Instead, efficient solutions of the objectives are presented.

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Session
Date
Time
Room
ChairsOperations Research (5)Wed, 12 Dec
13:30 - 15:00
S222
Om Prakash Yadav, Reza Tavakkoli-Moghaddam

Optimal Pricing and Lot-sizing for Fresh Produce andFoods with Quality and Physical Quantity Deteriorating
Simultaneously
Yiyan Qin1
1
Guangxi University for Nationalities, China

A significant amount of models has been proposed to investigate thedeterioration inventory. However, most of models assumed that afixed physical quantity of items deteriorates over time, the quality ofitems does not decay before their expiration dates. In fact, the quality
and physical quantity of many products, including fresh produce
and food, deteriorate over time. In this paper, we consider the pricing
and lot-sizing problem for products with quality and physicalquantity deteriorate simultaneously. The deterioration rate of quality
and physical quantity is taken to be time proportional. The theory forfinding the optimal solution of problem is discussed and a numericalexample is given.

Online Dispatching of Rail-Guided Vehicles in an
Automated Air Cargo Terminal
Wuhua Hu1, Jianfeng Mao1
1
Nanyang Technological University, Singapore

A problem of dispatching rail-guided vehicles (RGVs) for completingtransportation requests arises in an automated air cargo terminal.
The problem involves transportation requests as appear dynamicallyin a stochastic manner and aims to minimize total travel distance ofeach RGV. This work presents a model and a preliminary solution
approach for the problem with a single RGV having unit capacity.
Computational studies performed on randomly generated instances
are used to evaluate the approach, and the performance is comparedwith that of a priority-based approach which mimics the one used inpractice.

Maximizing the Total Weight Value of Just-In-Time Jobs in
Identical Parallel Machines with Periodic Time Slots
Eishi Chiba1, Takao Kageyama1, Yoshiyuki Karuno2, Hiroyuki Goto1
1
Hosei University, Japan
2
Kyoto Institute of Technology, Japan

We address the processing of jobs in an environment with periodic
due dates. Every job must be completed exactly on a due date, thesituation of which shall be referred to as just-in-time. Each job isassociated with a weight which is non-increasing with time. The
problem we address is to maximize the total weight of just-in-timejobs. We prove that this class of problem is NP-hard. The key idea is areduction from the Hamiltonian path problem, known as strongly
NP-hard. Moreover, we discuss some special cases where theproblem is solvable. If no set-up times exist, there are cases where theproblem is solvable, we then present a method to solve the problems.
To achieve this, we derive partition and union procedures, and use
network flow algorithms.

Maximum-Profit Rooted Not-Necessarily-Spanning Tree
ProblemEishi Chiba1, Yusuke Abe1, Toshiki Saitoh2, Takao Kageyama1, Hiroki
Koga1, Takashi Kobayashi1, Hiroyuki Goto1
1
Hosei University, Japan
2
Kobe University, Japan

Given a connected undirected graph, one root vertex, non-negative
income for each vertex including the root vertex, and non-negative
cost for each edge, we aim to find a rooted tree for which the total
profit is maximized. Such tree is known as not-necessarily-spanning.
This problem can be applied to various real-life situations. We firstprove that this problem is strongly NP-hard. The key idea is areduction from the uncapacitated facility location problem known asstrongly NP-hard. We then present three heuristic algorithms tosolve the problem. Finally, we show some computational results
using these three algorithms and compare the results in terms of boththe objective function value and computation time. The algorithms
yield good performance on approximation ratio.

An Optimal Model for Adding Relation to an Indirect
Subordinate in a Linking Pin Organization Structure
Kiyoshi Sawada1
1
University of Marketing and Distribution Sciences, Japan

This paper proposes an optimal model for adding relation to alinking pin organization structure where every pair of siblings in acomplete K-ary tree of height H is adjacent such that thecommunication of information in the organization becomes the mostefficient. For a model of adding an edge between a node with a depth
M and its descendant with a depth N, we formulated the total
shortening distance which is the sum of shortening lengths ofshortest paths between every pair of all nodes and obtained an
optimal depth N* which maximizes the total shortening distance foreach value of M.

MTS Lead Time Uncertainty Study in Periodic Review
MTS-MTO System

Feng Yu Wang1, Rajesh Piplani2, Laura Xiao Xia Xu3, Amrik Singh Bhullar3
1Singapore Institute of Manufacturing Technology, Nanyang Technological
University, Singapore
2
Nanyang Technological University, Singapore
3Singapore Institute of Manufacturing Technology, Singapore

Joint MTS-MTO system is well recognized because a) it supports
postponement well in manufacturing, and b) it can lower the cost by
taking advantage of economy of scale in MTS and satisfy highproduct variety by taking advantage of flexibility in MTO. However,there is a lack of decision support in parameter control for fully
exploiting the potential benefits. In this paper we assess the impact of
the uncertainty of MTS production lead time and provide the insightof the impact of MTS production lead time and its variation. The
simulation results show that with current inventory policy structure
the service-related costs, such as late delivery and order rejection cost
are insensitive to MTS production lead time and its variation.
However, the reduction of MTS production lead time canconsiderably reduce inventory holding cost. Further study is neededfor validating the results after an “optimal” inventory policy is
obtained.

A New Lagrangian Decomposition and Coordination
Approach for Energy Portfolio and Production Planningfor Multiple Companies
Eiji Sekiya1, Tatsushi Nishi1, Masahiro Inuiguchi1
1Osaka University, JapanThe energy portfolio and production planning problem for multiple
companies under energy constraints is formulated as a mixed integer
nonlinear programming problem. A new Lagrangian decompositionand coordination approach is proposed to solve the problem
effectively. In this paper, we propose efficient computation
algorithms for lower bound and upper bound. The lower bound iscomputed by relaxing the nonlinear term in the objective function.
The upper bound is derived by Lagrangian relax and fix heuristicthat successively fixes the solution of subproblems to create a feasible
solution. Computational results show that the proposed method caneffectively solve the problem compared with conventional
Lagrangian decomposition and coordination method.

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Session
Date
Time
Room
ChairsEngineering Education and Training
Wed, 12 Dec
15:30 - 17:30
S222
Kem Ramdass, Hon Keung Yau

Research on Foundation and Practice of 123 Modes in
Professional Engineer Education Training Plan
Wang Jinghua1, Zhou Jun1, Li Jing1, Yang Zehui1, Zhang Xinguang1
1
Ningbo University of Technology, China

Over the past 30 years as a whole, China has become one of fastest
growing countries in the field of economy at the same period with a
9% GDP growing rate, offering demand space for engineering
technical talents with high international qualities. However, theengineering technical talents with high qualities cannot be supplied.
In the background of “professional engineers plan” of the Ministry of
Education, as one of the 61 demonstration universities in china,
Ningbo University of Technology takes the lead in the importantreform Plan of engineering education by “123 Modes”. This mode
focuses on cultivating Industrial, Initiative and Integrative Engineers.
The foundation and practical approach of “123 Modes” areintroduced in this paper.

Improving Capacity for Engineering Systems Thinking(CEST) among Industrial Engineering Students
Sigal Koral Kordova1, Moti Frank1
1
Holon Institute of Technology, Israel

Systems education and training should become an integral part of theacademic curriculum design. This paper presents an undergraduate
course aimed at developing students' capacity for engineeringsystems thinking (CEST). The course is based on executing projects inteams. The students' CEST prior to and at the end of the course wasassessed by addressing and measuring four components: cognitive
characteristics, abilities, personal traits, and knowledge. The datacollected in this study was used to analyze the four above-mentioned
components of CEST. The Analysis of Moment Structures (AMOS)
program was used to analyze the collected data; the general data
analysis approach, known as Structural Equation Modeling (SEM),
was also implemented. The research findings allow us to conclude
that the final project contributed to the development of three out offour CEST components among learners.

Management Model to Certification and Recertification
Criteria to Professional Engineers
Oscar Alejandro Vasquez Bernal1, Felix Antonio Cortes Aldana2
1
UNAD, Colombia
2
National University of Colombia, Colombia

The objective of this project is to establish a management model for
certification and recertification of professional engineering, which is
required to perform the analysis of the state of knowledge of theprocesses of certification and recertification of professional
engineering and the different studies where the relationship
University - Company - State has been applied to generate results
based on innovation. The scope of the project will involve theanalysis of regulatory, legal and procedural in Colombia, UnitedStates, Canada, El Salvador, Guatemala and Honduras, countries
through which they have established free trade agreements, where
the issue of mobility is essential development of skills that result in
professional innovation. Develop a management model which
involves the relationship University - Business-State will result in a
unified methodology in the regulatory framework for certification
and recertification of professional engineering.

Analyzing International Scientific Collaboration Pattern
for China by Using ESI Database
Dan Xiang1, Huaxing LI1
1
Northwestern Polytechnical University, China

The importance of international scientific collaboration has increased,
and this is most marked for China as a rising economy. This paper
looks into Chinese international scientific collaboration fromco-authorship at the international level by using data of ESI highly
cited papers. Special attention is given to collaboration with theestablished economies. It first introduces the definition of association
rules, and then provides the dataset for further analysis. We find thatUSA is the top one collaborator in China’s highly cited papers;
Germany, England, France are China’s top three EU partners; Japanand Australia are top two Asian collaborators. The analyses alsosuggest that Chinese internationally co-authored papers have ahigher citation than its domestic papers. The most collaborated fields
with its main partner countries are also explored.

Externalization Of Knowledge In Indian Higher Education
Through Increase In Research Publications
Kalyan Kumar Bhattacharjee1
1
Indian Institute of Technology, India

Purpose: The purpose of this paper is to identify the key areas ofknowledge management in relation to knowledge externalization
through growth of research publication in Indian Institutes ofhigher learning.
Methodology: Quantitative data collected from SCOPUS and
INDEST database has been imported and analyzed using MS-Excel.
Last 5 to 15 years of publications data has been used in this paper. A
comparison has been drawn between top Indian Institutes (like IITs,
IISc) and 3-4 top foreign institutes from the countries having large
number of publications and the SAP-LAP framework has been used
to analyze the KM status.
Findings: This paper identifies critical causes behind lack ofknowledge externalization in Indian context which are insufficientresearch publications, less emphasis on the existing Indian literaturesin terms of referencing, less emphasis on latest research publications
and inadequate patenting etc.

Towards Modeling Manufacturing Flexibility Informationin Metalcasting SMEs
Rhythm Wadhwa1
1
NTNU, Norway

Flexibility can be defined as the ability to respond efficiently to thechanging demands of the customer and is different in SMEs
(Small-to-Medium manufacturing Enterprises) than the traditional
OEMs (Original Equipment Manufacturers). The presented work
focuses on flexible manufacturing design problem on a systems level
and aims at providing a common data structure as a reference fordifferent methodologies and tools in this area. The developed
framework translated into a relational database, has been interfacedwith the main phases of the systems design in the metalcasting
industry. A UML diagram has been developed to represent a method
for modeling the product, process and quality within a flexible andscalable framework. The proposed framework could have a wider
applicability since it is based on shared standards and previous
general frameworks.

Experience – An Essential Component to Improve theConfidence in Using Technology For Learning: An
Empirical Study in Hong Kong Higher Education
Hon Keung Yau1, Alison Lai Fong Cheng2
1
City University of Hong Kong, Hong Kong
2
Hong Kong College of Technology, Hong Kong

The purpose of this study is to investigate the difference between
students with more experience and students with less experience on
the confidence in using technology for learning in Hong Kong higher
education. A survey methodology was employed and 211
questionnaires were collected in a Hong Kong university. The findingshows that students with more experience are found to have more
confidence in using technology for learning than students with lessexperience.

Applying Fuzzy MADM Approach for the Selection ofTechnical Institution
Victor Gambhir1, N.C. Wadhwa1, Sandeep Grover2, Sanjeev Goyal2
1
Manav Rachna International University, India
2
YMCA University of Science & Technology, India

Selection of a technical institution is a complex task as it involves
many tangible and intangible factors, which are difficult to quantify.
Moreover, this problem becomes much more important as the wholeprofessional life of the student depends upon this. With the change inhigher education policy in 1991, lots of technical universities cameinto existence in India. Although many agencies, provide theseranking but these seems to be biased one. Therefore, an endeavor has
been made in this paper to provide mathematical model to rank thetechnical institutions by using Fuzzy MADM approach. Fuzzy logic
helps to quantify the intangible factors and Graph Theoretic andMatrix Approach (GTMA) gives single numerical index based uponwhich different technical institutions can be compared easily. This
will save lot of time and will give confidence to both technicalinstitutions and students.

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Session
Date
Time
Room
ChairsSupply Chain Management (4)Wed, 12 Dec
11:00 - 12:30
S223
Tsan-Ming Choi, Amr Eltawil

Fuzzy Power Stream Mapping to Measure Dominating
Power in Supply Chain
Anirban Kundu1, Vipul Jain1
1
Indian Institute of Technology Delhi, India

This paper presents a Fuzzy Power Stream Mapping (F-PSM)
framework to measure dominating power and inter-organizational
dependence in a supply chain relation. In this proposed framework,
the 5 bases of power by French and Raven [9] are integrated into
Power Stream Mapping (PSM). The 5 bases of power are considered
as control variables and are presented by fuzzy numbers. The
proposed framework establishes relation between dominating power
and the performance of supply chain. The distinctive outcome of theframework is denoted as the Relative Power Index (RPI) with respect
to performance of a supply chain player. A measure of dominating
power for each individual player in the supply chain network is also
proposed. The Agile Vulnerable (AV) link of power stream mapping
has been developed. The proposed framework is illustrated with anempirical example.

Developing a Web-based Collaborative Forecasting
Platform to Support Tourism Supply Chain Management
Xinyan Zhang1, Haiyan Song1
1
The Hong Kong Polytechnic University, Hong Kong

Tourism is a networked industry where clusters of organizations
coordinate, cooperate, or compete in a dynamic environment.
Therefore tourism industry is well suited to the concept of the supply
chain. It is believed that applying supply chain management strategy
to the tourism industry provides a new research opportunity togenerate insights into how a tourism supply chain (TSC) develops asustainable competitive advantage, especially when the demand
uncertainty is high. Along this line, this paper is aimed at developing
a Web-based platform for TSC members to conduct collaborative
forecasting. Unlike the traditional stand-alone forecasting process inwhich individual tourism practitioners produce demand predictions
based on their private or partial information, collaborative
forecasting breaks down the “island of analysis” and involves
reliance on TSC partners to provide specific and timely information
on important derivers of future demand. Specific designs of thecollaborative forecasting platform are proposed in this paper, andthis includes the user classification, forecasting method selection, andplatform structure design.

A Quantity-Flexibility Contract in Two Periods with
Supply Chain Coordination
Xin Li1, Zhaotong Lian1, Wenhui Zhou2
1
University of Macau, China
2South China University of Technology, China

We study a quantity-flexibility supply contract between amanufacturer and a retailer with two periods. The retailer can get a
discount within a fixed quantity and adjust the quantity at the end of
the first period. The retailer can adjust the order quantities after thetrial period based on updated demand forecast information andinventory status by paying a higher per-unit cost for the incremental
units or giving up the deposit. By developing a two-period dynamic
programming model in this paper, we first obtain an optimal
replenishment strategy for the retailer when the manufacturer’s pricescheme is known. Then we derive an proper pricing scheme for the
manufacturer by assuming that the supply chain is coordinated. The
numerical results show some managerial insights by comparing thiscoordination scheme with Stackelberg game.

Stochastic Demand Fulfillment Model with Multiple
Demand Classes: Using Revenue Management
Wen Yang1, Richard Y. K. Fung2
1
City University of Hong Kong, China
2City University of Hong Kong, Hong Kong

This paper considers a demand fulfillment problem for multi-classcustomer orders in a finite horizon period. Demands andreplenishment of supply in different periods are random variables
that are independent of each other. The objective is to maximize
expected net profit over the planning horizon by deciding thefraction of the demand to fulfill. A stochastic dynamic model ispresented and analyzed to establish the existence of the optimal
fulfillment policies. In the end, a numerical example illustrates theresults by using dynamic programming method.

Virtual Depot Approximation for the Transshipment
ProblemDmitry Krass1, Oleksandr Shlakhter1
1
University of Toronto, Canada

In the transshipment problem a number of retailers facing stochastic
demand must place orders before the demand is known, but cantransship inventory once the demand is realized. Recently developed
simulationbased algorithm [1] provides near-optimal solutions, but
can only handle small-to-medium problems. We develop an
approximation-based approach where all transshipments are routed
through a virtual depot. This allows us to reduce the solution time byorders of magnitude, while maintaining high solution accuracy,
making it possible to solve realistic-size problems to optimality.

Determination of Size of Supply Base under Uncertain
Cost Information
Jishnu Hazra1, B. Mahadevan1
1Indian Institute of Management, India

We analyze a situation involving suppliers who differ from one
another with respect to the cost of capacity. The buyer in our model
does not have complete information on suppliers’ cost structure andthe buyer’s demand is also random. We first derive the reservation
price a supplier is expected to quote in the competitive online
bidding process for obtaining a contract. Subsequently we determine,from the buyer’s perspective, the capacity to be procured through acontract and the optimal number of suppliers to be awarded thecontract. Our numerical analysis suggests that the supply base isrelatively stable under different scenarios; it is only the contracted
quantity that varies. Our results also reveal that the buyer is likely tosource from multiple suppliers even though the lowest cost supplier
may have sufficient capacity and is reliable.

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Session
Date
Time
Room
ChairsSupply Chain Management (5)Wed, 12 Dec
13:30 - 15:00
S223
Vipul Jain, Charles Mbohwa

Ranking of Automotive Supplier Selection Criteria in
Pakistan: An AHP Approach
Fikri Dweri1, Sharfuddin Ahmed Khan1
1
University of Sharjah, United Arab Emirates

Supplier selection is considered as an important factor for the successof any industry. The global competition and increasing growth ofmarket demand increased the need for organizations to identify andselect appropriate suppliers in order to fulfill customer demands ontime with high quality and in cost effective manner. This paper will
identify the supplier selection criteria for automotive industry inPakistan and rank these criteria using Analytical Hierarchal Process(AHP).

Modeling the Macro-environmental Influences: An
International Logistics View

Supachart Iamratanakul1, Bordin Rassameethes2, Vatcharapol Sukhotu3,
Sununta Siengthai3, Voratas Kachitvichyanukul3, Ravi Shankar4
1
Kasetsart University,Asian Institute of Technology, Thailand
2
Kasetsart University, Thailand
3
Asian Institute of Technology, Thailand
4
Indian Institute of Technology, India

The study is intended to understand macroenvironmental influenceson international logistics. Transportation and inventory forinternational distribution especially in South East Asia was also
examined to identify environmental factors on international logistics.
The study applied a comprehensive discussion with an expert panel
and “Bibliometrics” methodology to identify six environmental
factorsoninternational
logistics.
Ultimately,
themacroenvironmental factors refer to the uncontrollable forces andconditions influencing an organization. Later, the interpretive
structural modeling (ISM) was employed to study the relationshipamong those factors to distinguish which factors are the mostchallenges for the international logistics. MICMAC analysis was
finally employed to set the level of driving and dependence power
among the factors. The results of the study provide the systematic
model that explains the relationship among six environmental factors
on international logistics. The political, economic, and cultural
influences become the most challenge in which international trade
specialists should be concerned vigilantly.

Information Security in Supply Chains - A Process
Framework

Arup Roy1, A.D. Gupta1, S.G. Deshmukh2
1
Indian Institute of Technology Delhi, India
2
ABV Indian Institute of Information Technology & Management India

The key motivator behind information security is the management ofbusiness risk and regardless of whether that risk is financial or not,organizations mitigate vulnerabilities in the enterprise to reduce thethreat to both reputation and customers. This paper discusses some
aspects related to information security in supply chains and thenproposes a Process Framework for the management of information
security in the supply chain. The Framework should help supply
chain managers collaborate with information security and IT
specialists to establish, implement and operate their Supply Chain
Information Security Management System.

A Modeling of Retailers Pricing in Advance Selling Basedon Fairness and Reciprocity
Junfeng Li1, Shuping Yi1
1
Chongqing University, China

This paper studies pricing of advance selling from retailers tocustomers. There is a problem which is tradeoff between the retailers’
profit margin and customers’ payoff in distribution fairness andreciprocity. We build a model of retailers’ utility with distribution
fairness theory. We analyze retailers pricing in two cases, and try toseek an optimal price for maximizing retailers’ profit margin. Then
we propose that the parameter of reciprocity affect pricing in fairness
context. In our model of retailers pricing in advance selling, retailers
can find optimal price or baseline price.

A MILP Model and Heuristic Approach for Supply Chain
Network Design with Minimum Volume Constraints
Mouna Kchaou Boujelben1, Celine Gicquel2, Michel Minoux3
1
LGI Ecole Centrale Paris, France
2
Universite Paris 11, France
3
Universite Paris 6, France

We consider a supply chain network design problem arising from acase study in the automotive industry. The introduction of minimum
volume constraints in the related facility location problem leads tonumerical difficulties when solving large-sized instances. We thus
develop a heuristic solution approach based on the linear relaxationof the original mixed integer linear programming formulation of the
problem. The results of our computational experiments show that the
proposed method provides good quality solutions within shortcomputation times.

Academic Supply Chain Management for Tertiary
Educational Institutions

Bishwajit Banik Pathik1, Md. Mamun Habib1
1American International University-Bangladesh (AIUB), Bangladesh

This exploratory study addresses academic supply chain
management which consists of educational supply chain andeducational management as the major constituents of ITESCM(Integrated Tertiary Educational Supply Chain Management) modelfor the universities. ITESCM Model structures were defined andconfirmed by 493 respondents, representing university
administrators of leading tertiary educational institutions around theworld, faculty and staffs, employers, and graduates. The resulting
model was subsequently evaluated for accuracy and validity bymultiple linear regression (MLR) analysis and structural equation
modeling (SEM) technique. The redesigned model is the revised formof original ITESCM, that would be easily understandable andresearch equations are more user friendly for practical field
applications. The research model and equations provide a novel
approach for prospective investors or current administrators of theuniversities to review and appraise their performance toward
fulfillment of ultimate goals, i.e. producing high-competent
graduates and significant research outcomes for well-being of thesociety.

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Session
Date
Time
Room
ChairsSupply Chain Management (6)Wed, 12 Dec
15:30 - 17:30
S223
Mahdi Bashiri, Carman Ka Man Lee

A Group Genetic Algorithm for the Fleet Size and Mix
Vehicle Routing Problem
Michael Mutingi1, Charles Mbohwa2
1
University of Botswana, Botswana
2
University of Johannesburg, South Africa

In supply chain management and logistics, the use of vehicles to
distribute products from suppliers to customers is a major
operational activity. In transportation, optimizing the routing ofvehicles is crucial for providing cost-effective services to customers.
This research addresses the fleet size and mix vehicle routing
problem (FSMVRP), where the heterogeneous fleet and its size are to
be determined. A group genetic algorithm (GGA) approach, withunique group genetic operators, is designed and implemented tosolve a number of existing benchmark problems. The approachdemonstrates competitive performance, in terms of cost andcomputation time, when compared to other meta-heuristics.

Optimizing Replenishment Policy for Deteriorating Item
Considering Inventory Dependent Demand, Inspection
and Imperfect production
Chun-Jen Chung1
1
Aletheia University, Taiwan

Different from traditional production quantity model, a
production-inventory deteriorating (PID) model in supply chain arestudied considering just in time (JIT) delivery, inspection, theimperfect production and warranty policy. Effects of inventory
dependent demand and the relationship among inspection, productdesign and warranty are also investigated. An example is used toillustrate the PID model. The sensitivity analysis shows that theholding cost, fixed demand and the unit inspection cost are theimportant factors in controlling the deteriorating inventory model.

Integrated Supplier-Buyer Inventory Model with Optimal
Reorder Point, Controllable Lead Time, and Service Level
Constraint

Yosi Agustina Hidayat1, Suprayogi Suprayogi1, Sifa Islam1, David Try
Liputra2
1
Bandung Institute of Technology (ITB), Indonesia
2
Maranatha Christian University, Indonesia

This paper considers a two-echelon supply chain inventory problem
consisting of single supplier and buyer. In the system underdiscussion, the supplier produces a product and supplies it to thebuyer facing a stochastic demand condition. Buyer’s lead time iscontrollable that can be shortened at an added cost. In addition, allshortages are backordered. A model is formulated for an integrated
supplier-buyer problem to simultaneously determine the optimalorder quantity, reorder point, lead time, and number of shipmentsfrom the supplier to the buyer during a production cycle. Instead of
having the shortage cost in the objective function, a service level
constraint is included in the model. The objective function is tominimize the total expected cost of the system. An algorithm isdeveloped to obtain the optimal solution and a numerical example isalso included to show the results of the proposed model.

New Approaches for Analyzing the Logistical
Synchronization of Material Provision in Production
Networks
Patrick Prussing1, Sven Baumgarten1, Georg Ullmann11Institute of Integrated Production Hannover gGmbH (IPH), Germany

In order to obtain high logistical performance in a production
network at low logistical costs, there has to be a high level ofsynchronization in the material provision of the final assembly. The
level of synchronization can be restrained by dynamic effects in a
network. This paper presents an approach for identifying criticalmaterial procurement processes that are accountable for an
insufficient achievement of logistical goals in the material provision.
In addition, the results of a simulation study are explained thatanalyzes the effects of measurements conducted to increase thesynchronization of the material provision by also taking dynamic
effects into account.

An Optimization Based Decision Support Model for Thai
Rubber Industry Supply Chain : Preliminary Results
Janya Chanchaichujit1, Mohammed Quaddus1, Martin West1, Jose
Saavedra-Rosas1
1
Curtin University, Australia

As today’s global rubber markets continue to be more complex interm of cost, the objective to design effective rubber supply chain
needs to address this challenge. Therefore, this paper aims todevelop an optimization based decision support model for the Thairubber industry formulated by incorporating the distribution,
production and transportation of rubber products in a manner tominimize the total costs. The purpose of the model is to support theanalysis of rubber supply network flows, the factory locations, theoutbound distribution of transportation mode and route choices.
Preliminary results based on cost minimization objective arepresented and discussed.

Modeling an Industrial Strategy forInventory-Distribution Coordination of Telecom Operators
in China: the ‘Consignment Stock’ Case
Tianjian Yang1, Yujia Fan1, Xinzhe Wang1
1
Beijing University of Posts and Telecommunications, China

A modeling framework that considers inventory-distribution
coordination and consignment stock policy is proposed. The model isapplied to determine the optimal stock policy and examine thepotential benefits of consignment stock policy. Numerical results
show consignment stock policy is profitable and leads to inventory
consolidation.

A Bi-objective Stochastic Programming Model for a Green
Supply Chain with Deteriorating Products

Zeinab Sazvar1, S.M.J. Mirzapour Al-e-Hashem2, Armand Baboli 3, M.R.
Akbari Jokar4, Yacine Rekik5
1
Sharif University of Technology, Iran, INSA-Lyon, DISP Laboratory, France2
Emlyon Business school, INSA-Lyon, DISP Laboratory, France
3
INSA-Lyon, DISP Laboratory, France
4
Sharif University of Technology, Iran
5
Emlyon Business School, France

Nowadays consumers and legislation have pushed firms to design
their activities in order to reduce more and more the negativeenvironmental impacts. The objective of this paper is developing amathematical model and proposing a new replenishment policy in acentralized supply chain for deterioration items considering nonlinear holding cost. In this model, we consider inventory andtransportation cost, as well as the environmental impacts under
uncertain demand and partial backordered demand assumptions.
Several transportation modes, producing various GHG level areconsidered. The best transportation modes and replenishment policy
are determined by balancing between financial and environmental
criteria. In this way, we develop a linear mathematical model andpresent a numerical example from real world to discuss more details
about proposed model. Then, by doing the sensitivity analysis, somemanagerial insights are proposed and finally more promising
directions are suggested for future research.

An Order Splitting Policy for Deteriorating Products with
Non-linear Holding Cost under Stochastic Supply Lead
Time
Zeinab Sazvar1, M.R. Akbari Jokar2, Armand Baboli 3
1
Sharif University of Technology, Iran, INSA-Lyon, DISP Laboratory, France
2
Sharif University of Technology, Iran3
INSA-Lyon, DISP Laboratory, France

The strategy of pooling lead time risks by splitting replenishment
orders among multiple suppliers simultaneously is an attractive
sourcing policy especially in unreliable supply environments.
Whereas various assumptions are considered in order splitting
models developed, researchers tend to overlook an importantinventory category in order splitting models, called deteriorating
items. In this paper we develop an order splitting model for a retailer
which offers a deteriorating product under stochastic lead time. For
modeling the deterioration process, a non-linear holding costfunction is considered. The inventory system is modeled as acontinuous review system (s, Q). We then solve an example takenfrom the literature to show the effectiveness and applicability of the
proposed model. Finally, by doing some sensitivity analyses for the
key parameters of the model, single and split sourcing policies arecompared under different conditions and some managerial insights
are proposed.

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77Session
Date
Time
Room
Chairs

Quality Control & Management (3)Wed, 12 Dec
11:00 - 12:30
S224
Chen-ju Lin, Samuel Bassetto

Customer Value Creation through Product Quality andCustomer Usage of Product Functions: Managing theIndustry Shift towards Smartphones
Bjoern Frank1, Boris Herbas Torrico1, Takao Enkawa1
1
Tokyo Institute of Technology, Japan

This article investigates how the industry shift from traditional cell
phones to smartphones has impacted the process of customer value
creation and thus caused the rapid demise of industry leaders andthe rise of new global leaders. It explores this mechanism within the
chain from quality-induced and customer-co-created productfunctionality via hedonic, symbolic, and utilitarian customer value tocustomer loyalty. Based on consumer data from Bolivia and Japan,
the study illustrates that the greater market success of smartphones
than traditional cell phones can mainly be explained by higher
hedonic and symbolic value creation. This additional value creation
is caused by higher product quality and greater opportunities forcustomers to co-create value through active usage of customized
product functions.

A Simple Method on Power Calculation in Experiments for
Treatment Comparison
Huairui Guo1, Pengying Niu1, Ferenc Szidarovszky1
1
ReliaSoft Corporation, United States

Power calculation is a very important topic in design of experiments(DOE). When designs are balanced, calculating the power isstraightforward and existing formulas can be found in many
published resources. However, not much research has been done forunbalanced design, especially for experiments with qualitative
factors. In this paper, we first clearly define what “power” is andthen propose a method for calculating the power of qualitative
factors in experiments designed for treatment comparison. The
proposed method can be applied to both balanced and unbalanced
designs. Due to the complexity of obtaining exact solutions forunbalanced designs, a simple approximation method for calculating
the power of a design is also given.

Empower the Future: A Culture of Empowerment - The
Link to Organisational EffectivenessJurgens Frerk1, Charles Mbohwa1
1
University of Johannesburg, South Africa

In a world where today’s technology is yesterday’s news,
organisations will need to empower their employees to be nimble
and to become organisational change enablers in order to ensure theorganisation has the ability to manage and adapt to the hugecompetitive pressures. These pressures are further exacerbated by
the rapid evolution of technological advances and the rapid
deconstruction of global boundaries. Continued process
improvement projects, business process re-engineering andescalating cost reduction pressures are now the normal cognitive
activities which occupy senior managers in their day-to-day routines.

Process Reliability Modeling Based on Characteristic
Mapping
Wei Dai1, Fen Kuang1, Jin An1, Yu Zhao1
1
Beihang University, China

Process reliability modeling is of great significance to guarantee thereliability of the manufacturing process. This paper will describe
how to establish the relationship between reliability index of process
resource and process parameters by studying the characteristic
mapping of manufacturing process, which pays more attention to theprocess instead of product. Firstly, the key characteristics of process
will be determined, whose levels can be designated appropriately
according to the requirements of process reliability. Secondly,
reliability modeling method will be employed to catch the significant
factors affected the process reliability, and the relationship between
process elements, processing parameters, product reliability andproduct functions were analyzed based on Analytic Network Process.
Finally, the algorithm and procedure is discussed for manufacturing
process reliability modeling, and interrelated process parameters are
selected to improve reliability of the product.

A Case Based Approach for Modeling Process Elements
and Overall Service Quality Perception
Sheila Roy1, Indrajit Mukherjee1
1
IIT Bombay, India

Analyzing service quality (SQ) is a key area of interest for many
researchers and practitioners. Translating the abstract nature of SQ
construct into insights about critical process variables that impact thedesired quality level is a challenge for any service industry. The
objective of this research is to illustrate an approach tomathematically model the relationship between customer perceptionof process elements and overall SQ perception. A case study in an
organizational context along with a customer survey is conducted totest the suitability of the regression-based mathematical modelingapproach. Three critical process elements in this organization setting
are identified which impact the perception of overall SQ.

An Integrated Architecture for Lean Waste Analysis

Mohamed K. Omar1, Rohana Abdullah2, Md Nizam Abd Rahman2
1
Nottingham University Business School, Malaysia
2
Universiti Teknikal Malaysia Melaka, Malaysia

Lean has become very popular for companies striving towards
reducing wastes and improving their efficiency. The fundamental
work in Lean implementation includes establishing the standard
times for the process under study before the information can be used
to determine the resource capacity. The traditional work study
methods such as Process Mapping and Man-Machine Charts are nolonger suitable to be used in the complicated manufacturing
environment such as in the electronics. This paper reports on an
integrated architecture for conducting work study and performing
lean waste analysis. The developed architecture was implemented at
an electronic manufacturing company. The benefits observed fromthe implementation phase indicate that the proposed architecture has
reduced the lengthy time that work-study usually takes, eliminatedhuman error during analysis and improved the accuracy of data.

78

78

Session
Date
Time
Room
ChairsInformation Processing and Engineering (1)Wed, 12 Dec
13:30 - 15:00
S224
Jose Machado, Hendry Raharjo

Improvement of Retrieval in Case-based Reasoning for
System Design

Thierry Coudert1, Elise Vareilles1, Laurent Geneste2, Michel Aldanondo1
1
University of Toulouse, France
2
LGP/ENIT - Université de Toulouse, France

The problematic addressed in this article is dealing with the
improvement of retrieval in Case-Based Reasoning for system design.
The retrieval activity is based on the evaluation of similarities
between requirements (target) and the solutions (sources). However,similarities between features is often a subjective kind of knowledge
difficult to formalize within companies. Based on an ontology of
domain, the approach permits to retrieve compatible solutions rather
than similar ones using a model of designer preferences. The
requirements are modeled by means of constraints. When constraints
are confronted to solutions in order to evaluate a compatibility
measure, missing information within solutions with regard torequirements are taken into account using semantic similarities
between concepts. A case study validates the proposals.

Construction of Transport Networks that Combine
Building Pathways and Roads for Evacuation Routing and
Scheduling Problem
Mojahid Saeed Osman1, Bala Ram2
1
King Fahd University of Pertoleum and Minerals, Saudi Arabia
2
North Carolina A&T State University, United States

The availability of route network data is one of the key elements ofevacuation route modeling for solving capacity-constrained routing
problem; the data must include real-time updates, and routing must
be in real-time. We consider the problem of constructing transport
network data used for finding routes and schedules for evacuationfrom urban buildings and out of a predetermined neighborhood. The
transport networks involve corridors and stairs in the buildings androad networks outside; there are a pre-defined set of exit points outof the road network serving the buildings. This paper offers apromising direction for constructing combined networks of buildings
and roads using data extracted from GIS databases in conjunction
with paths inside buildings, it discusses the process of developing
collection of datasets for combined path networks for buildings androads. Simple pedestrian flow capacity formulas for corridors androads based on readily available geometric data are developed.

A Case Study on Real-Time Parcel Delivery Sequence
Optimization
Jaekyung Yang1, Wooyeon Yu2, Myoung Jin Choi3
1
Chonbuk National University, South Korea
2Myongji University, South Korea
3
Howon University, South Korea

Korea Post currently considers adopting a smart robot manipulation
system to automate the parcel sequence sorting work which is still
manually conducted at regional post offices in Korea. Regarding thissystem, this paper focuses on the optimization system designed tosort the parcel sequence and allocate sorting boxes. This optimization
system can obtain the information of accepted parcels as well as
information from the 3D image recognition system and uses
meta-heuristic algorithms to enable robots to provide the parcel
delivery sequence with a daily delivery volume to an individual
postman. Also, this parcel delivery sequence is created based on the
results of parcel sorting box allocation heuristics, allowing postmen
to consider the delivery sequence of parcels when loading them onto
their delivery vehicles. This paper outlines the overall sequencesorting, smart robot manipulation system, an interface with the
optimization system, and operation process.

Comparing Complex Business Process Models

Philip Weber1, Paul Taylor2, Basim Majeed3, Behzad Bordbar1
1
University of Birmingham, United Kingdom
2
BT Innovate & Design, United Kingdom
3
Khalifa University of Science, Technology and Research, United Arab Emirates

Business process models extracted from real event data via processmining are often visually complex and hard to interpret, cannot
easily display all of the relevant process data in one view, and are of
unknown quality. It is therefore difficult to present a meaningfulcomparison of two mined process models, for example to confirm
business changes have had a significant effect. We propose aframework for comparing process models, which integrates metrics,
graph partitioning, notions of statistical significance, andvisualisation techniques. This framework enables well-founded andintuitive methods for understanding and exploring differences
between processes.

Critical Business Objects and Its Applications in
Designing Performance Management Systems

Mohamad Aghdasi1, Ehsan Malihi1, Yasaman Asadi1, Shohreh Ghadami1
1
Tarbiat Modares University, IranIn this paper, the concept of Critical Business Object is used to defineand select a criterion for measuring the organizational performance.
Critical Business Object is a set of information objects in theorganization, which affects the desired behaviors and the expectedbusiness process. To develop the Critical Business Object, first, we
identify important organizational decisions and problems in
different levels by considering the related literature. Then, wedevelop a model based on the concept. The model indicates Businessprocess behavior aligned with business process objectives byidentification and effective control of Critical Business Object. Loan
Business Processes in Maskan Bank is selected as a case for runningthe example. In this study, 17 business objects are investigated and 4
critical business objects are identified by using rough set theory.
Besides its simplicity, this approach can be used to design andmanage the dynamic performance of the indicators.

Lossless Image Compression with Areas of Cross-Point
Regions for Modeling
Tin Thanh Dang1, Canh Xuan Huynh1
1
Hochiminh City University of Technology, Viet Nam

This paper presents the scheme of ACRIC (Areas of Cross-point
Regions for modeling in the scheme of Image Compression), ascheme for losslessly encoding and decoding images, especially
medical images. Developed from the theory of cross-point regions forlossless images compression, ACRIC gives the new theory ofcross-point regions to build areas of cross-point regions with using
flexible lengths of ideal cross-point regions in entire crosspoint
regions. Based on the effect of Gray coding on cross points whichhave grey values around 2n, the data bits of cross points trend tosame states in cross-point regions after Gray coding, so we can
optimize the probability of bits in certain areas of cross-point regions
for the step of coding in the process of entropy coding. This leads toimproving the compression ratio for the scheme ACRIC over theother schemes. The scheme of ACRIC is good for losslessly
compressing medical images because of large areas of pixels of
approximate grey values.

79

79Session
Date
Time
Room
ChairsInformation Processing and Engineering (2)Wed, 12 Dec
15:30 - 17:30
S224
Tin Thanh Dang, Thierry Coudert

Usability of an Electronic Health Record

Rui Pereira1, Julio Duarte1, Maria Salazar2, Manuel Santos1, Antonio
Abelha1, Jose Machado1
1
University of Minho, Portugal
2
Centro Hospitalar do Porto, Portugal

The Electronic Health Records (EHR) is a longitudinal electronic
record of patient heath information generated by one or moreencounters in any care delivery setting. The information included in
the type of records can be progress notes, problems, medication, vital
signs, medical history, laboratory data, radiology reports and muchmore. The usability of an EHR is crucial to achieve success, as well as
guaranteeing a high level of safe and effective level of patient caresystem. Therefore, it is important for care providers to take steps toensure that their EHR will be usable. Aiming to assess the usability of
the EHR, a usability evaluation was performed. This paper describes
how two usability evaluation methods (heuristic walkthrough andsurveys) were used to evaluate its usability. With those evaluations, it
was able to recognize the level of usability present in the EHR, alongwith the usability issues that can be disposed.

A Hybrid Evolutionary-based Process Mining Technology
to Discover Parallelism Structures
Hsin-Jung Cheng1, Yeh-Chun Juan2, C. Ou-Yang1
1
National Taiwan University of Science and Technology, Taiwan
2
Ming Chi University of Technology, Taiwan

Information systems have been widely used to support workflow
processes to record the execution of tasks in the process and arestored in so-called “event logs”. Techniques that relate to events
extraction have gotten increasing attention such as process mining
techniques. Developed process mining methods such as alphaalgorithm, alpha++ algorithm, and genetic process mining (GPM) arecapable of tackling several structures well, but they are still difficult
to discover parallelism structures efficiently since the parallelism
structures are too complex. This work presents anevolutionary-based process mining approach based on a hybrid of
GPM and particle swarm optimization algorithm (PSO) in order tohandle parallelism structures. The medical records of acute stroke
patients of Taiwanese medical institution are used as a practical caseto test the proposed approach. Experimental results on the case show
the effectiveness of the proposed approach for tackling parallelism
structures.

Logistics Process Modeling and Execution in the CloudJens Leveling1, Damian Daniluk1, Arkadius Schier1
1
Fraunhofer Institute for Material Flow and Logistics IML, Germany

The main purpose of this study is to support the generation of a newservice concept in B2B environment during the early stages of project
development for capital investment. This concept will aim at creating
additional value for the clients and satisfying their requirements
better. The focus is on the first three phases of plant life-cycle
engineering in the mining and metallurgical industries. During the
research the interdependencies of the identified explicit and tacitcustomer wishes and the technical characteristics of services werereviewed and the related operational processes were proposed. The
theoretical part describes the importance of industrial services in thebusiness context as well as the aspects of their quality and value
creation. The methodology of this study is based on the formalized
method – Quality Function Deployment – that is selected as a mostsuitable tool for concept development. The empirical part includes anin-depth single case study, which follows the SQFD (Service QFD)
logic.

Application of Exploratory Data Analysis in Healthcare:
the Case of Warfarin Initiation Phase in a Swedish
Hospital
Hendry Raharjo1, Baris Tekin1, Jingren Chang1
1
Chalmers University of Technology, Sweden

Warfarin is an oral anticoagulant used to reduce the risk ofthrombosis for patients with several clinical disorders including
atrial fibrillation, leg thrombosis, and pulmonary embolism.
Overdoses may cause serious bleedings, whereas too low doses maylead to stroke. The fact that every individual has a unique response to
the drug makes the therapy process very challenging. Contrary to theuse of genetic testing which is quite costly, this paper proposes theuse of a data-driven methodology to uncover some factors, which

may affect patients’ response to warfarin, that are possibly hidden in
the patients’ database. In addition to literature review in the related
medical field, the exploratory data analysis and Bayesian network
structure learning are used to help discover those factors and theirinterrelationships. The focus of this paper is placed on the initiation
phase of the therapy, that is, when a new patient starts using
warfarin.

Exploring How Add-On Software Development Affects
Graphic Editors’ Learning Results
Liang-Yuan Hsiung1, Mu-Hui Lai2, Hwa-Ming Nieh3, Yuan-Du Hsiao4
1
Kun Shan University, Taiwan
2
Hwa Hsia Institute of Technology, Taiwan
3
Ming Hsin University of Science and Technology, Taiwan
4
Chungyu Institute of Technology, Taiwan

To provide learners of graphics editing software with a self-initiatedediting/learning method, this study’s author developed, on the basisof Java programs, a piece of add-on software for self-extracted
images. The software’s functioning mechanism allows learners tokeep track of the editing process with the retouched image displayed
all at once, so they may gain the capability for self-initiated learning.
The researchers kept a comprehensive record of image files
generated in each step of the editing process, so the edited images
can be compared against the original one. Based on suchcomparisons, users may scrutinize details in their graphics editing
process that are improper or need improvements. The learning
outcomes and satisfaction engendered by this innovative software
were tested through a comparison between the experimental andcontrol groups. In general, this software is fit for the education andtraining of image process courses on Adobe Photoshop.

Extendible Data Model for Real-time Business Process
AnalysisMarcello Leida1, Andrej Chu1, Maurizio Colombo1, Basim Majeed1
1Khalifa University of Science, Technology and Research, United Arab Emirates

This paper presents a promising data representation model for realtime monitoring of business processes. The main benefit of thisrepresentation is that is transparent to the data creation and analysis
processes and it is extendible at realtime. The model is based on ashared vocabulary defined using RDF standard representation
allowing independence between applications. This model is a novel
approach to real-time process data representation and paves the roadto a complete new breed of applications for business process
analysis.

Research on Real-time Temperature Monitoring System ofThermal Power
Jiang Guo1, Ming-shu Fan1, Kai-kai Gu1, Xiao-Lu Xu1, Ke-fei Zhang1
1
Wuhan University, China

The thermal power system become more complex as it develops tothe direction of large-scale. This brings high efficiency as well as
brings much hidden risk. Once the failure appears, less leads to thedecrease of operating load, more leads to catastrophic shutdown, andeven damage the unit equipment. Therefore, the research on thereal-time temperature on-line monitoring system for thermal power
units (RTOMSTPU) is of vital significance. RTOMSTPU, which is put
forward in this paper, bases on the role-based access control (RBAC)
model to control different users of business function operation anddata information visiting, realizes the aim of the intelligent control
for information flow. RTOMSTPU acquires real-time data, and after a
serial of comprehensive treatment, generally, accurately and in realtime, provides production managers with correct decisions.

Developing Kernel Intuitionistic Fuzzy C-Means
Clustering for E-Learning Customer Analysis

Kuo-Ping Lin1, Ching-Lin Lin1, Kuo-Chen Hung2, Yu-Ming Lu1, Ping-Feng
Pai3
1
Lunghwa University of Science and Technology, Taiwan
2
National Defense University, Taiwan
3
National Chi Nan University, Taiwan
This study develops the kernel intuitionistic fuzzy c-means clustering(KIFCM), and applies KIFCM in E-learning customer analysis. KIFCM
combines intuitionistic fuzzy sets (IFSs) with kernel fuzzy c-meansclustering (KFCM). The KIFCM has advantages of IFSs and KFCM which
can effectively handle uncertain data and simultaneously map data tokernel space. The proposed KFCM has better performance than k-mean(KM) and fuzzy c-means (FCM) in numerical example. Furthermore, thestudy adopts the advanced clustering technology in Elearning customer
clustering analysis, and analyses customer data based on clusteringresults by correlation analysis. The customer analysis result can provide
for sales department, and assist to obtain customer’s learning tendency in
Elearning platform.

80

80

Session
Date
Time
Room
Chairs

Production Planning & Control (4)Wed, 12 Dec
11:00 - 12:30
S225
Rashed Sahraeian, Ali Siadat

Economic Production Quantity Model with Imperfect
Quality During a Process Adjustment Period
Ismail Al-Me'raj1, Shokri Z. Selim1, Yahya Cinar1
1
King Fahd University of Petroleum and Minerals, Saudi Arabia

We consider a manufacturing process that generates non-conforming
items until proper adjustment of the process is reached. Items
produced after machine adjustment are assume perfect. The demandrate is assumed constant. The process stops when the production ofconforming items is sufficient to cover the demand, then the cycle isrepeated perpetually. Mathematical models for deterministic andrandom machine adjusting period are proposed. We find the optimal
production quantity that results in minimum expected total cost.
Two examples are presented. We also show that the optimal
production size increases as the adjustment period increases, then atsome value, it becomes constant.

A Review of Key Research Streams for Managing
Uncertainties in Production Planning and Control
Emrah Arica1, Jan Ola Strandhagen1, Hans Henrik Hvolby2
1
Norwegian University of Science and Technology, Norway
2
Aalborg University, Denmark

This paper explores how the production planning and control
problem is carried out under uncertainty by the two main researchstreams: (i) internal planning (ii) advanced production schedulingand rescheduling. Having analyzed some of the common andcontradictory results of these research streams, this study proposes aframework for a comprehensive/holistic management of
uncertainties in production planning and control. The theoreticalcontributions can be considered twofold: (i) analyzing andcomparing the approaches of these two traditionally separate
streams (ii) synthesizing and combining their findings to develop atheoretical framework and to propose future research directions for
how to manage uncertainties in real world manufacturing systems.
The practical contribution is nested with the theoretical ones as thestudy contributes to narrow the research-practice gap. The main
limitation of this study appears due to the lack of empirical data andanalysis.

A Real Time Event Supervisor System for Efficient
Production Control
Emrah Arica1, Sindre Grindheim1, Olivier Roulet-Dubonnet1
1
Norwegian University of Science and Technology, Norway

The production planning and control (PPC) task has long been achallenge in the presence of disturbances in a manufacturing system.
This paper proposes a conceptual description of a system termed as“real time event supervisor” to facilitate the decision making process
for production control. The three key components of the system are:data processing, real time distributed communication system, andknowledge service. This study contributes to narrow the
research-practice gap in production control as the developed system
considers the applicability and practicality issues in a real life
manufacturing context.

The Problem of One-Dimensionally Cutting Bars with
Alternative Cutting Lenghts in the Tubes Rolling Process
Richard Lackes1, Markus Siepermann1, Torsten Noll2
1
Technische Universitat Dortmund, Germany
2
V & M Deutschland Gmbh, Germany

The input material of the tubes production process consists of steel
bars that have to be cut into pieces before they are heated and rolled.
In order to avoid waste of input material the cuts of the input
material have to be optimised which is a classic one-dimensional
cutting problem. A special characteristic of the tubes production isthat the same output can be reached with different cutting lengths.
Thus, the minimisation of input material gets more difficult and the
known algorithms have to be adapted.

Assembly Process Driven Product Architecting
Harrys Daniilidis1, Udo Lindemann1
1Technische Universitat Munchen, Germany

The assembly process constitutes an important influencing
parameter of product development. Therefore, a product architecture
has to be designed taking constraints and requirements derivingfrom the manufacturing and the assembly process into consideration.
This paper introduces a systematic approach to optimize productarchitecture from the assembly process point of view by enhancing
modular design.

A Novel Process Planning Approach for Hybrid
Manufacturing Consisting of Additive, Subtractive andInspection Processes
Zicheng Zhu1, Vimal Dhokia1, Stephen Newman1
1
University of Bath, United Kingdom

In recent years, hybrid manufacturing technologies that combine
different processes have gained significant attention. This is due totheir ability to capitalise on the advantages of each individual
process, whilst minimising their disadvantages. However, there arelimited process planning methods that are able to effectively utilise
manufacturing resources for hybrid processes. In this paper, a hybrid
process entitled iAtractive, combining additive, subtractive andinspection processes, along with part specific process planning is
proposed, aiming to provide the designer with greater
manufacturing capability and flexibility. This novel process planningapproach enables a plastic part to be manufactured with enhanced
process capabilities, reduced production time and material
consumption. This approach can be also adopted to remanufacture
and reincarnate exiting parts or legacy products into other products.
In this paper, the principle and framework of this process planningapproach is presented and a test part was manufactured to validate
this innovative approach.

81

81Session
Date
Time
Room
ChairsSystems Modeling and Simulation (1)Wed, 12 Dec
13:30 - 15:00
S225
Szu Hui Ng, Pei-Fang Tsai

Estimating Machine Startup Timing with Petri Nets
Reggie Davidrajuh1
1
University of Stavanger, Norway

Machine startup timing is a crucial performance factor in large
production facilities. Though Petri net is a well-proven methodology
to solve problems in discrete event systems, Petri net is applied
under the assumption that each operation starts when the preceding
operations are completed; thus, the Petri net approach is assumed
less effective and max-plus algebra (along with the dependency
graph) is employed as the default tool for estimating startup timing.
However, the max-plus algebra approach is iterative that takes O(n3)computations, where n is the number of machines. This paper
proposes a procedure with which a dependency graph can beconverted into a Petri net model and the startup timing can be
estimated in linear O(n) computations.

Simulating Staffing Needs for Patient Registration in a
Hospital
Sung Shim1, Arun Kumar2, Roger Jiao3
1
Seton Hall University, United States
2
RMIT UNIVERSITY, Australia
3
Georgia Institute of Technology, United States

As healthcare costs increase, there is a need for hospitals to look forways to contain costs and to achieve a higher efficiency without
sacrificing quality. Just as many businesses have successfully reduced
costs and gained competitive advantage by reengineering businessprocesses, hospitals are now beginning to adopt a process-oriented
approach and redesign the way certain processes are carried out toachieve cost containment and efficiency. Using computer simulation,
this study assessed the efficiency of the patient registration process ina hospital and recommended the optimal number of clerks for theprocess, at which clerks could be most efficiently utilized and patient
wait times could be reduced. The results show that computer
simulation is an effective tool supporting decisions on staffing needs
for the patient registration process in hospitals.

Simulation Based MANOVA Analysis of Pharmaceutical
Automation System in Central Fill Pharmacy
Debiao Li1, San Wong Yoon1
1
State University of New York at Binghamton, United States

Coil Baking Process Modeling with Neural Network
Wimalin S. Laosiritaworn1
1
Chiang Mai University, Thailand

Coil baking process is one of the critical processes in a case study
company which is a manufacturer of hard disk drive actuator in
Thailand. At the moment, the company is dealing with quality issue
arisen from the distortion of the baked coil. Parameters affect thebaking process are for example baking temperature, baking time, air
ventilation pressure and position in the oven. Neural network
technique was used to model the relationship between the mentioned
factors and the distortion of the coil. The trained network can be used
to predict coil distortion before the production occurs. Therefore,
helps to reduce the defect rate.

Integrated Optimization of Pricing, Production and
Delivery Decisions in a SVMB System of Deteriorating
Items and PSO Algorithm
Zhixiang Chen1, Bhaba Sarker2, Bingqing Wu2
1
Sun Yat-Sen University, China
2Louisiana State University, United States

This paper studies an integrated optimization model of pricing,production and delivery decisions in a single-vendor multi-buyer(SVMB) system comprising of a manufacturer and multiple
distributors of deteriorating items. Since the model is a complex
nonlinear programming problem, it is impossible to solve it usingclassic optimization methods. In this paper, Particle Swarm
Optimization (PSO) is designed to solve the model. Experimentshows that the algorithm is effective for solving the model. This is
first article for integrated pricing and inventory in SVMB
environment with solution using PSO algorithm.

System Reliability Modeling for Multi-state Hierarchical
System with Multi-level Information Aggregation
Mingyang Li1, Byoung Uk Kim2, Jian Liu1
1
The University of Arizona, United States
2
Ridgetop Group, United States

System reliability modeling is often constrained by the scarcity ofsystem-level reliability information. Multi-state hierarchical system
structure further imposes the modeling difficulty due to the complex
failure relationship among the system and its composing subsystems
and components. This paper proposes a Bayesian-based multi-level
information aggregation approach for reliability modeling of themulti-state hierarchical system. All available reliability information
throughout the system is utilized for better accuracy of the system
reliability modeling. Numerical case study demonstrates theeffectiveness of the proposed methodology.

This paper presents a factorial multivariate analysis of variance(MANOVA) based on the experimental results of a simulation model
for a given central fill pharmacy (CFP). CFP is a highly integrated
pharmaceutical automation system, which can process thousands ofprescription each day. The simulation model was built to analyze thiscomplex system. Then the MANOVA was conducted to identify key
system configurations are the fill-time window and auto-collation
timeout. The proposed three minutes fill time window and 45
minutes auto-collation timeout could increase 16.5% throughput in
the CFP.

Enriching the Generic Simulation Modeling and Executing
Framework with the Statistical Software Package R and the
SQLite Database
Dae-Eun Lim1, Jangwon Cho2, Haejoong Kim2, Hyun-Min Park3
1
Baek Seok University, South Korea
2
Samsung Electronics, South Korea
3
Pai Chai University, South Korea

Simulation analysts have difficulties in handling and analyzing large
volumes of simulation results such as log files of thousands ofproduction and transfer equipment. Also, most of simulators do nothave various or strong statistical analysis functions. In this paper, thestatistical software package R and the SQLite database are
introduced to the generic simulation model framework. Benefitingfrom the two software packages, conducting various statisticalanalyses and handling large volume of data have become easier.

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82

Session
Date
Time
Room
ChairsSystems Modeling and Simulation (2)Wed, 12 Dec
15:30 - 17:30
S225
Reggie Davidrajuh, Zhixiang Chen

A Case Study of Using Simulation for Process
Improvement in a Hospital Admission Center

was to identify the levels of variation in the design of DRG on the
expected response from healthcare providers. Results showed that thegreatest reduction in total LOS was achieved when the coefficient ofvariance (CV), or unitized risk, was within 0.8. Furthermore, the mean
LOS would be decreased further if the hospitals took more cases withhigh-risks. This simulation study provided expectation in adopting higher
CMI for better financial calculation and higher bed turnover whenswitching to tw-DRG payment system.

Pei-Fang Tsai1, Jian-Ciang Chen1, Jhih-Han Chen1, Fu-Man Lin2, Porntipa
Ongkunaruk3
1
National Taipei University of Technology, Taiwan
2Mackay Memorial Hospital, Taiwan
3
Kasetsart University, Thailand
Hospital admission center has an intrinsic position in a general hospitalwhich provides inpatient services. To improve the service quality, thisresearch aims to conduct a trade-off analysis in reducing the patient total
time and number of waiting patients in an admission center for an
academic hospital in Taipei. A simulation model was built to identify thebottleneck during the rush hours and alternatives were evaluated for theirpotential benefits. It was found that the blood collection station caused thelongest delay, about more than 7 minutes on average, in the registration
process for patients who need pre-admission tests. As for the schedule ofguidance assistants, the average waiting time for guidance service can be
reduced by at least 49% for patients who needed the services if the time
between rounds were shortened from 17 minutes to 12 minutes. Thesefindings had been used to support changes in this center.

Synthetic Population - A Case Study of Hong Kong
Population

Applying the Informatinal Approach to Global
Optimization to the Homoscedastic Stochastic Simulation

Consideration of Human Reliability in Actor-Oriented
Simulation of New Product Development

Jun Yuan , Chengwei Han , Szu Hui Ng
1
National University of Singapore, Singapore
In many engineering applications, the meta model serves as a surrogate to
the simulation model for global optimization. Previously, the kriging
meta-model and the global optimization algorithm, Efficient Global
Optimization, are well developed for both the deterministic and thestochastic simulation models with respective versions of the Expected
Improvement (EI) criteria. Recently, another global optimization approach,
Informational Approach to Global Optimization (IAGO), is introduced for
optimizing the deterministic simulation models. This paper contributes torefining this approach to solve the stochastic simulation model
optimization problem under the homoscedastic intrinsic uncertainty.
Detailed formulation of the problem and a refined algorithm arepresented in the paper. The comparison between the proposed stochastic
IAGO criterion and the Augmented EI (AEI) criterion is conducted with
examples. The results show that the proposed stochastic IAGO locates theglobal optimal point more accurately than the AEI criterion with fewer
additional observations required.
1

1

1

SLA-Based Virtualized Resource Allocation for Multi-tier
Web Application in Cloud Simulation Environment

Haitao Yuan1, Jing Bi2, Bo Hu Li3, Xudong Chai2, Ming Tie4
1
Beihang University, China
2
Beijing Simulation Center, China
3
Beihang University,Beijing Simulation Center, China
4
Beijing Institute of Near space Vehicle’s Systems Engineering, China
Virtualized resource allocation for multi-tier web applications in cloudenvironment brings new challenges to cloud infrastructure providers. In
order to meet the constraint of SLA and allocate the available virtualized
resources optimally, this paper proposes a resource allocation algorithm
for infrastructure providers who want to minimize infrastructure cost andSLA violations. Our proposed algorithm can maximize the overall profit
of cloud infrastructure providers when SLA guarantees are satisfied orviolated in a dynamic resource sharing cloud environment. The
experimental evaluation with a EUCALYPTUS-based cloud and a realistic
workload, and the comparison with the existing algorithm demonstrate
the feasibility of the algorithm and allow a cost effective usage ofresources in cloud simulation environment.

Simulation Study on the Effect of Diagnosis RelatedGroup Design in Length-of-Stay and Case-Mix Index for
Hospitals in Taiwan

Jian-Ciang Chen1, Pei-Fang Tsai1, Fu-Man Lin2
1
National Taipei University of Technology, Taiwan
2Mackay Memorial Hospital, Taiwan
In this study, a simulation meta-modeling approach was used to explore
the potential impact in full scale implementation of Taiwan’s diagnosis
related groups (tw-DRG) payment system on efficiency measures such aslength of stay (LOS) and case-mix index (CMI). The aim of this research

Yam Hon Chan1, Kwok Leung Tsui1
1
City University of Hong Kong, Hong Kong
There is an increasing trend of applying agent-based large scale stochastic
simulation in analyzing and improving performance of public healthsystems to reduce disease spread within a community. An accurate andrepresentative synthetic population is a foundation to a quality simulation
outcome. Using the Synthetic Reconstruction approach, an adaptable
population generator that is capable to mimic community structures of asizable city is developed. Major demographic properties are taken into
account for the generator. A sample of around 7,000,000 artificial
individuals is generated with the preliminary result presented. We
proposed that the generic population generator can be used as an
adaptive input component to simulation models of various researches thataims to mimic city dynamics. Such simulation tools can create a virtual
model that tests for possible alternatives without actual implementationand help to develop quick decision analysis and support for policy
makers.

Soenke Duckwitz1, Raymond Djaloeis1, Malte Hinsch1, Joerg Feldhusen1,
Christopher M. Schlick1
1
RWTH Aachen University, Germany
New product development projects are characterized by inherent
uncertainties of both the product and process as well as an extensive
influence of human behavior on the course of the project. These
characteristics are accounted for in a self-developed actor-oriented
simulation model by taking the decision-making of the individuals into
account under consideration of the underlying structure of the work
process. This paper presents an enhancement of our actor-oriented
simulation model, which is not only able to deal with task priority andurgency but can also simulate (bounded) human reliability. Furthermore,
results of a large-scale empirical study to gather quantitative data on
human error probabilities in new product development under laboratory
conditions are presented and discussed.

Layout Redesign of a Warehouse through Modeling and
Simulation

Chin Soon Chong1, Feng Yu Wang2, Laura Xiao Xia Xu1, Eng Hock Lua1
1
Singapore Institute of Manufacturing Technology, Singapore
2Singapore Institute of Manufacturing Technology, Nanyang Technological
University, Singapore
Warehousing consists of many discrete operations that occur randomly. To
ensure a warehouse works efficiently, both the warehouse design anddaily operations management need to consider dynamics andrandomness. In this case, discrete-event simulation becomes anindispensable tool for warehouse performance improvement. In thispaper, we will discuss on our work in developing a simulation model toevaluate and improve the performance for a warehouse of a fully
integrated milling and electrical discharge machine manufacturing
company. The manufacturing environment is an assembly-to-order typeof production, driven by customer orders. The primary objective of thestudy is to evaluate the capacities of the warehouse for a ramp up ofmonthly production and, subsequently to redesign the warehouse to caterfor the demand increase. We focused on warehouse layout and consider
warehouse operations of parts receiving, storage, order picking anddelivering the kits to the production shop floor.

Picking Path Optimization of Automated Storage andRetrieval System

Xiaocui Miao1, Lindu Zhao1
1Southeast University, China
The problem of picking path in warehouse is a specific Travelling
Salesman Problem. Unit-load AS/RS are the basal type of AS/RS. This
paper proposes an optimal strategy of picking path which is called first
retrieval after storage (FRAS) in a unit-load AS/RS. Compared to thenearest-neighbor (NN) rule, FRAS strategy can reduce the travelling timeof crane and make the storage racks fully utilized. This paper presents a
simple and feasible algorithm, and then achieves the simulation analysis
through MATLAB, which verifies the effectiveness and feasibility of thealgorithm.

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83

Session
Date
Time
Room
ChairsService Innovation and Management (1)Wed, 12 Dec
11:00 - 12:30
S226
James K. C. Chen, Ville Ojanen

Modeling Population Dynamics on a Spatially Distributed
Service Network: Depicting the Influence ofSocio-economic Factors on Service Delivery
Joymariel Melecio-Vinales1, Alexandra Medina-Borja1, J Medin2
1
University of Puerto Rico at Mayaguez, Puerto Rico
2
University of Puerto Rico at Bayamon, Puerto Rico

The operational environment of social service organizations is
significantly affected by external elements such as population
demographics (e.g. births, deaths or migration), community wealth,market size, etc. We are interested in demonstrating how theperformance of a networked social service organization performanceis affected by these external elements by simulating the direct impactof these factors have on the organization’s revenue generation. A
dynamic model that describes a non-profit organization with a
network structure has been developed. By executing the model we
explored whether the network can reach a state of maximum
performance when all the external factors are changing over time.
The results suggest that this desired state is achievable but the lengthof time required by the system to accomplish this state isquestionable. This research contributes to service science bymodelling a large service network organization using the system
dynamics simulation paradigm seeking to optimize the network.

Microfoundations of Dynamic Capabilities: A Case Studyin Airline Catering Industry
Emre Eksi1, Ayberk Soyer1, Sezi Cevik Onar1
1
Istanbul Technical University, Turkey

Dynamic capabilities are vital for organizations to survive underchanging environmental conditions. Dynamic capabilities enableorganizations to utilize their assets and create competitive advantage.
For an organization, making right changes at right time requires
dynamic capabilities and underpinnings that facilitate thesecapabilities. These underpinnings are described under the notion of
microfoundations in analyzing the existence of these capabilities.
Microfoundations include both organizational abilities such as,
routines, structures, processes, policies and individual abilities likeentrepreneurship skills, knowledge and experience. In this research
microfoundations of dynamic capabilities (sensing, seizing andreconfiguring) are examined in the empirical context of DO&CO
A.G.

An Operational Definition of Path Dependency
Cigdem Kadaifci1, Ayberk Soyer1, Sezi Cevik Onar1
1
Istanbul Technical University, Turkey

Path dependency thought emphasizes the impact of past decisions or
actions on the strategic options for organizations and examines thepossible organizational lock-ins caused by self-reinforcing
mechanisms that increase the attractiveness of a path, relative toothers. Path dependent behaviors limit the innovative improvements
and prevent the creation of alternative paths which in turn will cause
inflexibility. Although it is a widely studied concept, there is a lack in
the literature that focus on modeling, operationalization, andmeasurement of path dependency. In order to adapt and respondflexibility to the ever changing business environment and attaincompetitive advantage, firms should find the ways of escaping fromor breaking a path which is only possible through being aware andmanaging the antecedents and effects of path dependency. Therefore,
in this study it is aimed to suggest a path dependency measurement
model for revealing all these relations.

Developing a Measurement Model for Path Dependency
Burcu Akyildiz1, Sezi Cevik Onar1, Ayberk Soyer11Istanbul Technical University, Turkey

Path dependency expresses how the set of decisions is bounded by
the decisions that were made in the past, even though previous
circumstances may no longer be valid. Path dependency is describedin three phases: preformation phase (which is characterized as abroad scope of action, where choices cannot be predicted, but are
influenced by prior events or initial conditions), formation phase(where an organizational path starts to evolve as the range ofstrategic options narrows), and lock-in phase (where a further
constriction emerges that cause the organizations to lose theirflexibility). In order to avoid the risks of path dependency, managers
should be well aware of their firms’ current phase, which makes themeasurement of path dependency significantly important for thefirms’ survival. Although it’s importance, in literature relatively few
studies focused on the measurement of path dependency. Therefore,
the aim of this study is to develop a model for measuring pathdependency.

The Driving Forces of Customer Involvement in Service
Innovation from the Customer
Jun Jin1, Junying Chen1
1
Zhejiang University, China

Service innovation has been recognized as one kind of importantinnovation in companies in order to improve their competitive
advantages. The customer involvement has attracted more and more
attentions from academies and industries. However most of suchresearch is analyzed from the perspective of service providers,focusing on how to incorporate more customer involvement into
service innovation. Why customers are willing to participate in theservice innovation of companies? It is still a question underinvestigation. This paper is going to answer this research question,
what drive customers to involve in service innovation. The researchanalyzes the driving forces of customer involvement based on asurvey on the Chinese telecommunication services in two cities. The
research results suggest that customer satisfaction, customer
knowledge and customer self-efficacy are key driving forces whichsignificantly influence customer to involve themselves in theincremental service innovation in the Chinese telecommunicationindustry.

Characterizing Product-Service Systems in the Healthcare
Industry - An Internal Stakeholder Perspective
Man Hang Yip1, Robert Phaal1, David Robert1
1
University of Cambridge, United Kingdom

This paper presents a preliminary productservice system (PSS)
classification framework, which challenges the existing schemes thathave not distinguished services from intangible products. Tworecently completed cases in the health information andcommunications technology sector have revealed new dimensionsfor PSS classification from the perspective of internal stakeholders,that is those within the company who are directly involved in the
new PSS development. These new dimensions are volume, value,and quality. Volume is the relative number of product / service
elements in the PSS. Value is the relative product / service
contribution to the worth of the PSS. Quality is the combination offeatures, knowledge, skills and attitudes that affect the successful
usage of the PSS. The findings also suggest that a PSS configuration
might remain constant when the product and service proportions
change. The results from these two cases have provided important
directions for further work in PSS classification

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84

Session
Date
Time
Room
ChairsService Innovation and Management (2)Wed, 12 Dec
13:30 - 15:00
S226
Zhaotong Lian, Alexandra Medina-Borja

Applying Quality Function Development to Develop theHome Delivery Service Model for Specialty Foods in
Traditional Market
Mu-Chen Chen1, Chia-Lin Hsu2, Ying-Yi Lee3
1
National Chiao Tung University, Taiwan
2Chinese Culture University, Taiwan
3
President Transnet Corp., Taiwan

Although a few studies have been done to investigate the issue of
new service development (NSD) in an emerging market, it isdeficiency in the development of home delivery service (HDS) for
specialty foods in traditional market. Thus, this study takes a
Taiwan’s HD companies as a subject and uses quality function
deployment (QFD) to develop the home delivery service model
based on NSD model. In the area of voice of customer (VOC), theresults reveal that e-shoppers put emphasis on the security of
personal information and trading mechanism. As for HDS for
specialty foods in traditional market, customers pay attention to the
speed of delivery service, freshness of foods and quick responses
from HD companies when any problems happen during delivery.
Furthermore, in the area of voice of engineering (VOE), the mainsuggestions for improvement are training staff, setting up a brand,
and strengthening system effectiveness and information safety.

Research on Service-oriented Manufacturing Based onService Knowledge Integrated Platform
Gao Na1, Zhao Songzheng1
1
Northwestern Polytechnical University, China

It is a focal issue in the literature to explore the manufacturingtransition. Many researchers pay attention to the studies onservice-manufacturing concept and value mechanism, but notresearched on service-manufacturing operation model. Therefore,
this paper review the service-oriented manufacturing concepts,
proposed service-manufacturing concepts; then analyzed thetransformation of manufacturing and service development course,
summarized the necessity of traditional manufacturing toservice-manufacturing. Based on this, advanced service knowledge
integrated model, and takes it as a platform to put forward a
service-manufacturing mode. This mode reflects features ofservice-manufacturing. It has certain theoretical and practicalsignificance on servicemanufacturing.

The Application of Value Innovation from Blue Ocean
Strategy in Cultural Creative Industy
Tain-Fung Wu1, Chih-Lan Kao1
1
Asia University, Taiwan

This study not only provided a comprehendsive discussion involving
the formation of Blue Ocean Strategy, the future prospect, and people
managing Taiwan Music Cultural District, but also expanded tofurther include some other relevant issues. The application of Blue
Ocean Strategy adopted by the study subject can provide some
useful information for others in the cultural creative industry.
Practically, due to a cultural nature of the study case, the study result
can also offer a concrete method for managers in the art and culture
Industries to tailor their own industry-specific Blue Ocean Strategy.

Service Recovery Matrix: Matching Service Failures andRecovery Options
Victor John Cantor1, Richard Li1
1
De La Salle University - Manila, Philippines

Service failures are inevitable in any service delivery process thus
when a service failure occurs, a good service recovery is warranted.
This study focused on establishing relationships among service
recovery factors to identify a mix of recovery options that will assist
in designing effective service recovery systems. Factors consideredwere the severity of failure, outcome and process recovery,
complaining behavior, and relationship quality. Using a
scenario-based survey approach and structural equation modeling,
the results revealed the following: severity of failure has a significant
negative relationship with satisfaction; outcome and process
recovery are significant in attaining satisfaction regardless of theseverity of failure; complaining behavior significantly moderates
the relationship between the service recovery factors and satisfaction;and relationship quality was a stronger predictor of post purchasebehavioral intentions than satisfaction. A service recovery matrix wasdeveloped to depict appropriate recovery options for different
situations considering the desired level of satisfaction.

Utilizing QFD in Creation of a New Industrial Service
Concept
Ville Ojanen1, Tatiana Shunina2, Tuomo Kassi11Lappeenranta University of Technology, Finland2
Siemens, Russian Federation

The main purpose of this study is to support the generation of a newservice concept in B2B environment during the early stages of project
development for capital investment in order to create additional
value for the clients and satisfy their requirements better. The focus ison the first three phases of plant life-cycle engineering in the mining
and metallurgical industries. During the research theinterdependencies of the identified explicit and tacit customer wishes
and the technical characteristics of services were reviewed and therelated operational processes were proposed.The theoretical partdescribes the importance of industrial services in the business
context as well as the aspects of their quality and value creation. In
this study, the formalized method – Quality Function Deployment –is selected as a most suitable tool for concept development. The
empirical part includes an in-depth single case study, which follows
the SQFD (Service QFD) logic.

Exploring Innovation Model for Business Technology
Incubator in Developing Countries
James K. C. Chen1, Chu-Shiu Li1, Amrita Batchuluun1
1
Asia University, Taiwan

There are a few qualitative studies for successful businesses–technology incubator (BTI). Developing countries still investigate asuccessful design for business technology incubator, but have not
identified an appropriate one. This study examines the secondary
data focusing on 10 developed and 20 developing countries. The data
analysis bases on scenario method underlying an importance of thelinkage between Government, BTI, university and SMEs. The finding
indicates a significant importance of the innovation model to provide
a solid support and a full contribution for BTIs in the technologicalworld.

Pathway Identification via Process Mining for Patientswith Multiple Conditions
Xiaojin Zhang1, Songlin Chen1
1
Nanyang Technological University, Singapore

Pathway identification is essential to support patient-centeredclinical guideline design for patients with multiple conditions. This
research proposes a method based on process mining to sift througha large number of patients’ medical records in order to match
patients’ medical profiles with the healthcare services needed in theform of pathways. A heuristics miner algorithm is developed andtested with a case study involving patients with multiple conditions.
It is found that process mining can be applied in the healthcare
context to identify pathways with correct ordering of healthcare
services and process constructs. The mined pathways provide areference process model for designing healthcare services that arecatered to individual patients’ needs.

85

85Session
Date
Time
Room
ChairsService Innovation and Management (3)Wed, 12 Dec
15:30 - 17:30
S226
Willem Selen, Songlin Chen

The Impact of Culture, Leadership, Governance, and ICT
Systems on Service Innovation in Service Value Networks
Renu Agarwal1, Willem Selen2
1
University of Technology Sydney, Australia
2
United Arab Emirates University, United Arab Emirates

This study investigates the impact of organisational leadership andgovernance, ICT infrastructure and organizational culture on
innovation in services, using empirical data from a major Australian
telecommunication service provider and its partnering organisations.
Our empirical results show that governance, leadership,organisational culture, and ICT integration attributes all contributesignificantly to the creation and delivery of innovation in services.
Governance strategies tend to structure and regulate the conduct ofthe parties in an exchange, however when integrated, they constrain
the latitude of decision making within the relationship. It is
important that an environment of mutual support and culture iscreated to establish volitional compliance amongst partners. This ispossible only through collaborative communication, openness andtrust, with seamless integration of ICT systems, which allows
transparent flow of information for real-time decision making.

The Relationships Between Beach Vacationers’ Motivationand the Physical Settings of Beaches
Huey-Hsi Lo1
1Aletheia University, Taiwan

This study focuses on Taiwan’s need for coastal recreation in light ofits participatory role in an interrelated world community; at the sametime, it reflects Taiwan’s emerging prosperity and the current
inadequate utilization of expanded leisure time available to its
citizens. Principle component factor analyses were used to group the
32 items that pertained to motivation from the Recreation Experience
Preference (REP) scales into six major categories, and to group that 25
setting attributes into five major categories. The results indicated thatthe most strongly preferred recreation experience was a desire toexperience nature. Specifically, the results showed that beachvacationers with higher educational levels had significantly higher
motivation for going on beach vacationers than those with lower
educational levels. Correlation between beach vacationers’
motivations and the attributes of beach resort sites resulted in apositive and significant association.

Equilibrium Strategic Behavior and Optimal Pricing with
Experience Service
Zhaotong Lian1, Jinbiao Wu2, Lihua Cao3
1
University of Macau, China
2Central South University, China
3
Shenzhen University, China

In many service settings, service provider may provide freeexperience service for customers in order to attract more consumers.
However, providing free experience service results in longer waits
for customers who queue for the standard service based on service
value, delay costs and price. We model this service setting using asingle server Markovian queueing system. We study equilibrium
strategies for customers in two cases, according to the customers
whether observe the status of the system. We derive the optimal priceand experience service rate. We analyze the problem of social welfare
optimization. Finally, we numerically analyze the impacts of thevarious parameters on the the customer equilibrium strategy, theoptimal price and experience service rate.

Exploring CRM Implementation - The Conceptual Modelof the Impact of CRM on Service Operations
Pimjai Tongmee1, Prattana Punnakitikashem1
1
Mahidol University, Thailand

This paper aims to explore the impact of customer relationshipmanagement (CRM) implementation on service operations
management (SOM). The impacted components of SOM are
identified. Moreover, the conceptual model of the impact of CRM on
SOM is proposed. The model suggests that CRM implementation
impacts SOM in three areas which are service process, service
personnel and service package. In each area, impacted
sub-components are also identified in order to facilitate theunderstanding to both academics and practitioners. For service
process, CRM implementation results in muti-channel integration,
service process automation and front- and back- office integration. In
terms of service personnel, CRM impacts the change in customer
orientation, measurement and reward system as well as level of
empowerment. With regards to service package, the impact of CRM
will be on customer knowledge, level of personalization andcustomization as well as product and service offering.

An Exploratory Study on Preferred Open Innovation Typesand Partners in South African SMEs
Willie Krause1, Corne Schutte1, Niek Du Preez1
1
University of Stellenbosch, South Africa

Open Innovation is fast emerging as an important innovation method.
This paper explores the use of and preference towards Open
Innovation within South African small and medium sized enterprises
which also utilize social networking tools. It provides a view ofwhich Open Innovation approaches are preferred together withwhich innovation partners are preferred based on eighty five survey
responses. The survey was conducted under companies that havebusiness networks on LinkedIn and shows that South African SMEs
have an interest in open innovation and are currently using thesemethods, albeit mostly in an informal way. Collaboration is theapproach mostly preferred by these SMEs, with customers andsuppliers as the preferred innovation partners.

External Marketing and Internal Marketing: Which
Capability Holds the Key to an Outstanding Performance?
Wen-Jung Chang1, Christina Tay2
1Delin Institute of Technology, Taiwan
2Chinese Culture University, Taiwan

Marketing is an organization’s capability exhibiting superiority incommunicating with customers, and creating high value-added
products/services to differentiate from competitors and aims to makeselling superfluous. Traditional marketing mixes (i.e., 4Ps) are known
as external marketing capability (EMC) and has been the synonym
for marketing capability (MAC) until the concept of internalmarketing emerges. However, the EMC alone for a service
organization cannot afford to manage complicated marketingproblems except with the internal marketing capability (IMC)
concurrently. Based on 261 valid samples from 70 Taiwanese
universities, we uses structural equation modelling (SEM) to test
research hypotheses and empirical findings indicate that MAC serves
a complete mediator on market orientation (MO) and organizational
performance (OP), while EMC advantages IMC to determine theperformance of modern university.

86

86Session
Date
Time
Room
ChairsTechnology and Knowledge Management (4)Wed, 12 Dec
11:00 - 12:30
S227
Fu-Man Hsieh, Md. Mamun Habib

Do Individual Emotion and Corporative Environment
Influence Technology Transfer in Taiwan Technology
Industry?
Meng-Shan Tsai1, Meng-Chen Tsai2, Chi-Cheng Chang2
1
National Kaohsiung Normal University, Taiwan
2
National Taiwan Normal University, Taiwan

This study aims to discuss the effects of individual emotion andcorporative environment on technology transfer, and explores
corporative environment moderating effects between emotion andtechnology transfer. Corporative environment includes interpersonal
relationship and social relationship; technology transfer includes
explorative organizational learning and knowledge sharing. To
predict individual- and company-level simultaneously ontechnology transfer, hierarchical liner model (HLM) is performed.
This study investigates 194 workers and 43 technology companies.
The result shows emotion and social relationship were significantly
related to technology transfer, and interpersonal relationship was
positive moderating effect in the relation between emotion andtechnology transfer, but social relationship was not. The major
limitations of this study included that workers in technology
companies have heavy workload, so they do not have enough time toresponse the questionnaire, and obtaining questionnaires was noteasy, so self-selection may be generated. The limitations hope to besolved in future studies.

Research on Knowledge Innovation Oriented
Post-evaluation Method of Basic Research Project
Lin Gong1, Zixu Chen1, Guoxin Wang1, Jiping Lu1
1
Beijing Institute of Technology, China

Post-evaluation of basic research project is to evaluate projects in few
years after the end of projects end. This kind of evolution is very
important to judge whether project has knowledge innovation. Frist,
this paper introduces the importance of post-evaluation method ofbasic research project and the life cycle of project management. Then,based on knowledge innovation, the index system which includes
input and output is present. Evolution method selecting is analyzed
and Data Envelopment Analysis (DEA) is introduced. After that, theprocess of knowledge innovation oriented post-evaluation of basic
research project is built. Finally, an instance is evaluated and theresult proves the feasibility and effectiveness of the method.

Analyzing the Building and Using Situations of E-learning
Platform: From Total Quality Management and Knowledge
Management Perspectives
Meng-Shan Tsai1, Meng-Chen Tsai2, Chi-Cheng Chang2
1
National Kaohsiung Normal University, Taiwan
2
National Taiwan Normal University, Taiwan

This study aimed to discuss the building and using situations of
e-learning platform, and treated total quality management andknowledge management as the theoretical foundations. The twoteachers worked in the same college, and used this platform to teachstudents. This study was a qualitative research, both teachers had toanswer 10 propositions, and the data collection method wassemi-structured interview. The results included three parts: before
using, using, and after using e-learning platform, which wereanalyzed by TQM, knowledge innovation, and knowledge sharing,
respectively. The first part explained the process of building thisplatform; the second described that both teachers confronted
difficulties, and the third depicted the approaches of the interactions
between teacher and students. However, both teachers obtained
different learning effects. The first teacher got the poor learning
effects of the students, but the second got the well learning effects.

years to collect real data for two different scenarios, traditionalversus RFID systems. The reductions in waiting times for each period
are valued into money. The RFID technology can significantly
improve the processing times associated with medical record
retrieval, dispensing medication, personnel management and billing.
This analysis is planned for a period of 5 years with discount rate of
4%. Finally, the net present value concept is applied in order tocompare the financial benefit of two systems and to obtain the
payback period.

Technology Evaluation: Fitting Tools and Techniques to
the Stages of the Evaluation Process
Fernando Romero1, Fernando Barbosa1
1
University of Minho, Portugal

In this work we propose to look at the process of evaluation andselection of technologies. Building on evaluation models that assume
stages and decision moments, we propose a complement to thosemodels by suggesting specific methodologies, tools and criteria thatseem to be appropriate for each specific stage. The research was
based on a structured inquiry on the evaluation practices of thirty
three firms from different sectors. One of the main results was therealization that the criteria, tools and methodologies that are adopted
by firms are not uniform throughout the process of evaluation andadoption of the technologies. It depends on the stage of the process.
Accordingly, we propose a division of the process in specified stages
and we identify which criteria, tools and methodologies firms’ values
most at each one.

Knowledge Management Maturity Assessment in
Research Institutions Using Analytic Hierarchy Process
and Fuzzy Comprehensive Evaluation Method
Jingwen Li1, Yaoguang Hu1, Jialin Han1
1
Beijing Institute of Technology, China

Knowledge management maturity assessment occupies an important
place in knowledge management activities of knowledge-intensive
organizations. Nowadays, obstacles to develop knowledge
management still exist in many research institutes. According to thisproblem, we proposed a knowledge management maturity
assessment frame using analytic hierarchy process and fuzzycomprehensive evaluation method to deal with the collection data.
First, a two-dimensional knowledge management maturity modeland a related index system were established; second, a combined
method between analytic hierarchy process and fuzzycomprehensive evaluation was used to analyze data; third, we
designed a knowledge management capability improvement matrix
to find out the shortcomings in different levels of knowledge
management. A large research institute focused on aerospaceindustry in China was taken as the case institute to validate the framein this paper.

Quality Dimensions Relevant to a First Tier Automotive
Supplier: Case Study at an Automotive Seat CoverSupplier
Kem Ramdass1
1
University of Johannesburg, South Africa

The most fundamental definition of a quality product is one thatmeets the expectations of the customer. In order to use quality as a
strategic advantage, quality dimensions relevant within the specificindustry needs to be specified. The company at which this case study
was conducted faced various problems with regards to productquality and customer satisfaction. The objective of this research was
to determine the relevant quality dimensions within the automotive
seat cover industry and to evaluate these quality dimensions duringa case study at a local seat cover supplier. The question that was
raised was: “What are the factors or quality dimensions that must be
considered when addressing issues related to product quality andcustomer satisfaction on an automotive seat cover production line?”.

The Financial Impact of Using RFID in Healthcare
Ibrahim Al Kattan1, Taha Anjamrooz1
1
American University of Sharjah, United Arab Emirates

This paper is emphases on the financial impact of RFID system on thehealthcare. The main obstacle of RFID implementation is the highcosts hence the area of application must be very selective. We decideon the Obstetrics and Gynecology Department (OGD), where thepatient has many visits during three different periods: Pregnancy,
Delivery and after Childbirth. This research conducted over two

87

87

Session
Date
Time
Room
ChairsTechnology and Knowledge Management (5)Wed, 12 Dec
13:30 - 15:00
S227
Sha'ri Mohd Yusof, Antonio Verdu

Government as the Decision Maker in Infrastructure
Projects: What Diffusion Models Tell Us

Ann Klobucher1, Dan Edgar1, Jessica Hildahl1, Melissa Elfering1, Harm-Jan
Steenhuis1
1
Eastern Washington University, United States

This study examines the diffusion models for insights into how
governments make decisions on which type of infrastructure projects
to undertake. The existing technology diffusion literature wasreviewed and based on this a conceptual model was formulated. The
study will focus on High Speed Rail (HSR) infrastructure technology.
Four countries with the most kilometers of HSR, i.e. China, Japan,
Spain, and France, are compared to countries with limited or no HSR
service, i.e. currently the United States, India, Morocco and Saudi
Arabia. It was concluded that the current models for technology
diffusion do not offer a complete model for government decision
making. No particular factor was found that explains diffusion of
HSR.

Knowledge Engineering in Interdisciplinary Research
Clusters

Claudia Jooss1, Rena Vossen1, Ingo Leisten1, Anja Richert1, Sabina Jeschke1
1
RWTH Aachen University, Germany

This paper proposes an innovative knowledge engineering approach
for interdisciplinary research clusters. In science, different
competences, knowledge, scientific experience and cultures converge.
To cope with this challenge it is necessary to combine several
dimensions of human, organization and technology within a holisticknowledge engineering approach. Cooperation structures have to beadapted accordingly. The authors present prototypes of an
application oriented research to promote interdisciplinary
knowledge production.

The Complementary of TQM on Technology Management
Strategy: A Multinational Perspective from the ASEAN
Automotive Industry
Pei-Lee Teh1, Tritos Laosirihongthong2, Dotun Adebanjo3
1
Monash University, Malaysia
2
Thammasat University, Thailand
3
University of Liverpool, United Kingdom

This paper examines the complementary of total quality
management (TQM) practices on technology management strategy
and its impact on quality and innovation performance. Survey
questionnaires were administered to automotive parts/components
manufacturers in five Associations of Southeast Asian Nations(ASEAN) countries including Thailand, Malaysia, Philippines,
Indonesia and Vietnam. The proposed conceptual model was
empirically tested using 115 data at plant level. The results ofstructural equation modeling (SEM) analysis indicate that customer
focus had a positive effect on technology management strategy
leading to enhance product quality, product innovation and process
innovation respectively. Our findings suggest that the operational
excellence facilitators especially in the automotive industry should
recognize and develop the major role of customer focus to improvetheir technology management and innovation. This paper also
concludes by drawing new avenues for future research.

Does Science and Technology Correlation with Academic
Ability? a New Science and Technology Linkage
Evaluation Ranking System Introduce
Yi-Ching Liaw1, Chin-Yuan Fan2, Te-Yi Chan2, K. L. Chi2
1
Ming Chi University of Technology, Taiwan
2
National Applied Research Laboratories, Taiwan

Organization rankings have long been a research issue. For thoseengaged in organization rankings, the most important goal isbelieved to identify suitable methods to assess the performance of
research institutions objectively and effectively. Ratings based onacademic research results have increased our understanding andrecognition of organization rankings; however, current ratings havedone little to reflect academic presentations and to connect withindustrial applications. Therefore, we cannot identify the impact ofacademic papers on industrial practices by means of ratings. To thisend, this research paper attempts to use the citation frequency of
non-patented literature in patents database as rating criteria. The
expected contribution will be an important basis for the relevant
authorities to allocate resources, and can provide researchers with amore comprehensive reference while conducting relevant research.

Critical Knowledge Sharing Barriers: An Interpretive
Structural Modeling Approach
Bhupendra Prakash Sharma1, M. D. Singh1
1
Motilal Nehru National Institute of Technology, India

In the present business environment, Knowledge Sharing (KS) has
been identified as basic facilitator for the effective Knowledge
Management (KM). This study investigates possible causes ofresistance to the sharing of knowledge by knowledge workers at anindividual, organizational and technological level within theorganization. Theses causes are known as Knowledge Sharing
Barriers (KSB). The objective of this paper is to identify the critical
KSBs and their mutual influences. The interpretive structuralmodeling (ISM) methodology has been used to evolve mutual
relationship among KSBs. It is observed that two KSBs, namely “lackof top management commitment” and “KM is not well understood”,
have high driving power and therefore deserve serious attention.
Arrangement of KSBs in a hierarchy and their categorization into
driver and dependent categories is an exclusive effort in the area of
KM. The study concludes with discussion and managerial
implications.

A Comprehensive Instrument to Efficiently Measure Firm
IT Capability in an IT Environment
Chui Young Yoon1, Seung Yong Kim1
1
Korea National University of Transportation, South Korea

Nowadays, firms perform the management activities in an IT
environment. In this environment, it is very important that a firm
efficiently apply IT to its management activities and to improving theperformance of tasks. We need the measurement and management
for a firmâ€™s IT capability. Suitable measures are necessary for afirm to gauge its IT capability, for it to manage and improve its IT
capability. The measures were extracted by the validity and reliability
analysis from the first generated measures. The validity andreliability of the 15-item scale was verified. The developed
instrument can efficiently measure a firm IT capability in acomprehensive perspective.

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Session
Date
Time
Room
ChairsFacilities Planning and Management
Wed, 12 Dec
15:30 - 17:30
S227
Armand Baboli

Process Management within a Multi-project Large-scale
Plant Engineering Environment

Egon Mueller1, Ralph Riedel1, Martin Domagk1, Christian Barnstedt2,
Florian Meurs2
1
Chemnitz University of Technology, Germany
2
MAN Diesel & Turbo SE, Germany

Enterprises in the industrial sector of large-scale plant engineering
are currently experiencing an extremely high level of competitive
pressure. In order to stay profitable in the long run different
approaches are suggested. The approach to increase the efficiency of
a company during the project execution of turnkey plants, which ispursued in the present paper, refers to the establishment of process
management. Competently conducted process management canbuild the foundation that enables companies to recognize existing
potentials and make them implementable. Therefore principles ofprocess management will be derived and applied in practiceconsidering the specifics within large-scale plant engineering and thegeneral level of knowledge regarding project management ofcomplex multiple turnkey plant projects.

A New Multi-objective Mathematical Model for Relief
Logistic Network under Uncertainty
Mohammad Rezaei-Malek1, Reza Tavakkoli-Moghaddam1
1
University of Tehran, IranThe strategy of pooling lead time risks by splitting replenishment
orders among multiple suppliers simultaneously is an attractive
sourcing policy especially in unreliable supply environments.
Whereas various assumptions are considered in order splitting
models developed, researchers tend to overlook an importantinventory category in order splitting models, called deteriorating
items. In this paper we develop an order splitting model for a retailer
which offers a deteriorating product under stochastic lead time. For
modeling the deterioration process, a non-linear holding costfunction is considered. The inventory system is modeled as acontinuous review system (s, Q). We then solve an example takenfrom the literature to show the effectiveness and applicability of the
proposed model. Finally, by doing some sensitivity analyses for the
key parameters of the model, single and split sourcing policies arecompared under different conditions and some managerial insights
are proposed.

Bibliometric Analysis of Power Grid Research: Identifying
Knowledge Domain
Ichiro Sakata1, Hisato Tashiro1
1
The University of Tokyo, JapanThe concept of Power Grid is significant for innovation and economic
development. However, since the term “power grid” represents a
broad sense, there does not exist common understanding about what
does the study of power grid consist of. We apply a methodology todetermine the structure and geographical distribution of knowledge,
as well as to reveal the structure of research collaboration in such aninterdisciplinary area as power grid by performing journal
information analysis, citation network analysis and visualization.
Knowledge in these areas has been growing rapidly in recent years.
Research competency of each field show some characteristics by
subject and well distributed among USA, EU, and Asia. Withknowledge structure analysis non-technical policy makers
understand the fields of study and focus resources to necessary
technologies.

Exploring the Antecedent and Subsequence Factors forKnowledge Management
Meng-Chen Tsai1, Chi-Cheng Chang1
1
National Taiwan Normal University, Taiwan

This study used document analysis to analyze the 1,064 studies about
the knowledge management (KM) in the Science Direct On Line
(SDOL) database. This study aimed to collect and analysis the paper
about the KM in order to generalize which variables can impact KM
and can be influenced by the KM. This study obtained the variables
which affect KM, and these variables included information
technology, decision support, and organizational culture. Besides, thevariables could be influenced by KM, which included performance,

innovation, and enterprise competitive advantage. The other purpose
was to count each variable was related to KM from the previous
studies. The results showed that the most amounts of the studies
present “decision support” influenced KM, and “performance” wasinfluenced by KM in the database.

A Location - Routing Problem with Emergency Referral
Solved by Using a Genetic Algorithm
Phongchai Jittamai1, Jarupong Banthao1
1
Suranaree University of Technology, Thailand

In this research, a variant of the Location - Routing Problem (LRP),
defined as the LRP with Emergency Referral (LRPER), is considered.
The LRPER aims to solve the number of local blood banks (LBB) andtheir locations, assign hospitals to each LBB, as well as determine
vehicle routes from LBBs to hospitals with emergency referral. The
mathematical model for LRPER is proposed in this study. The
problem seeks to minimize the total cost by simultaneously locatingeach LBB and determining the vehicle routes that satisfy emergency
referrals. The LRP is known as a NP-hard problem, hence, the LRPER
is also NP-hard. The methodology based on Genetic Algorithm (GA)is developed in this study. A data set composed of 36 hospitals isused. The algorithm is able to solve for locations and routes
simultaneously and yields a decent initial solution. Solutions
improvement is done by genetic operations.

A Single Phase Optimization of Stochastic Location
Allocation Problem in a Two Echelon Supply Chain
Mahdi Bashiri1, Mehdi Jafarian2
1
Shahed University, Iran
2
University of Shahed, IranThis study addresses a problem of location allocation in two echelon
supply chain networks consist of manufacturing sites anddistribution centers. Distribution centers locations are given while
the factories should be constructed in determined sites. There arethree simultaneous decision making stages in this problem, the first
one focuses on the location decision and the second one is allocating
the distribution centers to the located factories. It is supposed thatfactories capacities are constant; however, demands are stochastic indifferent scenarios. In the third decision part the network flow isdetermined in each period for each scenario. It makes the problem to
be more intractable especially in large scales. Consequently we takeadvantage of genetic algorithm to solve the problem. A numericalexample from the literature and the comparison of the proposed
approach with other approaches shows effectiveness of the proposed
approach.

Factory Layout Benchmark with Extended Failure Modeand Effect Analysis
Uwe Dombrowski1, Christoph Riechel1
1
Technische Universitat Braunschweig, Germany

In this paper, a hybrid differential evolution algorithm (HDE) isdeveloped for solving the no-wait flow shop scheduling problem(NFSSP) with sequence-dependent setup times (SDSTs) and release
dates (RDs). The objective function to be minimized is total tardiness.
Firstly, a largest-order-value (LOV) is utilized to convert continuous
individuals in DE to job permutations. Secondly, differential
evolution (DE) is used to evolve individuals in its population to
execute effective exploration. Thirdly, a local search based on
problem’s properties and the insert neighborhood is embedded into
DE to improve the exploitation ability. Due to the reasonablehybridization of exploration and exploitation, the NFSSP with SDSTs
and RDs can be solved efficiently. Computational results show theeffectiveness and efficiency of the proposed HDE.

Major Accident Prevention in the Planning Process of
Offshore Operation and Maintenance Activities - Initial
Study
Sizarta Sarshar1
1
Norwegian University of Science and Technology/ Institute for Energy
Technology, Norway

This paper presents the initial study on how major accident theories
can contribute to major accident prevention in the planning process
of offshore operation and maintenance activities.

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Session
Date
Time
Room
ChairsReliability and Maintenance Engineering (3)Wed, 12 Dec
11:00 - 12:30
S228
Ping Jiang, Bermawi Iskandar

Risk Metrics: Interpretation and Choice

Inger Lise Johansen1, Marvin Rausand1
1
Norwegian University of Science and Technology, Norway

This paper gives an overview of common risk metrics, maps theminto a decision context, and suggests a set of evaluation criteria. The
motivation is that risk analysis is carried out to inform
decision-making, and that the content and perceived legitimacy of
information from a risk analysis hinge on the metrics that are used toexpress the results. A tabular overview of the most common metrics
for harm to people, assets, and the environment is given, withemphasis on clarifying their meaning, pros and cons. The metrics arelinked to different decision contexts and stakeholder needs, andeleven criteria are established to aid in the choice thereof. Principal
issues concerning the adequacy of single as well as sets of risk
metrics are finally raised and make the basis for further work.

How to Develop the Grouping Strategy for Offshore Wind
Turbines at the Wind Farm Level
Zafar Hameed1, Jorn Vatn1
1
Norwegian University of Science and Technology, Norway

Reliability and maintenance issues of offshore wind turbines aredemanding due to lack of proven experience at hand. Grouping
strategy is one of the possible ways to enhance the reliability andavailability levels of the offshore wind turbines. In the proposedgrouping strategy, it has been outlined how to optimize themaintenance tasks based on the age and conditions of thecomponents and then group them together. In the realization ofgrouping strategy, the attempt has been made to address the certain
issues and challenges pertaining to the set up costs, criteria for travelfrom one turbine to another, heuristics development, and exploiting
the opportunities. In the current work, it has been proposed how todevelop the optimal operational strategies based on the grouping
technique. It is expected that realization of the propose approach
would help in reducing the overall operational costs in a significant
way for the offshore wind turbines and making them a more
attractive and viable option for the investors.

Reliability and Spare Parts Estimation Taking into
Consideration the Operational Environment - A Case
Study

Abbas Barabadi1, Behzad Ghodrati2, Javad barabady1, Tore Markeset3
1
University of Tromso, Norway
2
Lulea University of Technology, Sweden
3
University of Stavanger, Norway

Spare parts provision is a complex problem and requires an accurate
model to analysis all factors that may affect the required number ofspare parts. The number of spare parts required can be effectively
estimated based on the reliability performance of the item. The
reliability characteristics of an item are influenced not only by theoperating time, but also by factors such as the operational
environment. Therefore, for spare parts provisioning to be effective,
the impact of these influence factors on the reliability performance of
the item should be quantified. Hence, the statistical approachselected for reliability performance analysis must be able to handle
the effect of these factors. One of the important models for reliability
performance analysis that takes influence factors into account is the
proportional hazard model (PHM), which has received less attention
in the field of spare parts provisioning. In this paper the applicationof PHM to spare parts provision is discussed and demonstrated by acase study.

production setup and maintenance. Besides repair, age based
preventive maintenance is performed to replace the whole system.
The preventive maintenance schedule is determined and systemaverage cost rate within the preventive maintenance interval isminimized. Our study complements the literature by introducing
discrete reliability growth model to study maintenance of
manufacturing systems.

Simulation on Optimum Operation of Ship Main Engine
Support System by Using System Dynamics
Dhimas Handani1, Makoto Uchida1
1
Kobe University, Japan

Operation of ship requires a reliable support system of main engine.
This paper proposes new models in System Dynamics(SD)simulation for determining the reliability degradation of shipmachinery components which are installed in main engine support
system. This study purpose is to optimize the availability andminimize the total operation cost which are comprised of running,
maintenance, penalty and downtime cost. Reliability analysis istaken into account based on failure rate data record. There are two
SD models in this paper. An optimization model endeavors value ofminimum Reliability Index(RI) as decision to obtain the highest
availability and the lowest total cost. The forecasting model
constructs the maintenance judgment when RI reaches the minimum
RI in next subsequent voyage. Pumps which are operated in fuel oil,sea water cooling and fresh water cooling system are analyzed.
Optimization model results optimum total operation cost andavailability, while total operation cost in forecasting model is lower.

Reliability Optimization of a Series System with
Multiple-choice and Budget Constraints Using a Genetic
Algorithm
Alireza Zarei1, Ahmadreza Zarei2
1
Hormozgan University, Iran
2
University of Applied Science and Technology, IranThis paper deals with a reliability optimization problem for a seriessystem with multiple-choice and budget constraints. Choosing one
technology for each subsystem and for maximizing the reliability of
the whole system subject to the available budget, the optimization
criteria are in used. We develop an efficient genetic algorithm
hybridized with a local search step to solve the problem. In theapproach, constructed solutions are not guaranteed to be feasible;
accordingly, with use of an appropriate procedure, an infeasible
solution is replaced by a feasible one. Through evaluating the
proposed approach with the existing metaheuristic one which isavailable in the literature, the results show a better performance incomputation for the algorithm which has been introduced here.

Optimal Replacement Threshold and Inspection Intervalfor Condition-Based Maintenance with Variable Failure
Cost
Hamid Reza Golmakani1, Morteza Pouresmaeeli1
1
Tafresh University, IranIn condition-based maintenance (CBM) with periodic inspection, theitem is preventively replaced if failure risk, which is calculated basedon monitoring information, exceeds a pre-determined threshold. It isalso replaced if, at any time, failure occurs. In the determination of
optimal replacement threshold, it is often assumed that the failure
replacement cost is constant. However, this assumption is not always
true as, in some practical cases; the failure replacement cost may
depend on the item’s degradation state at which the failure occurs
and/or the time it fails. In this paper, derivation of optimal
replacement threshold and optimal inspection interval for CBM withvariable failure cost is provided. The basis is the control limit policy
for CBM, already developed by the researchers and referenced in thepaper. The proposed approach is illustrated through a numericalexample.

Using Piecewise Exponential Model to Schedule
Preventive Maintenance Interval in Manufacturing
Systems
Liangpeng Chen1, Boray Huang1, Loon Ching Tang1, Min Xie2
1
National University of Singapore, Singapore
2City University of Hong Kong, Hong Kong

In this paper the piecewise exponential model is implemented tocharacterize the effect of corrective maintenance/repair which isconventionally treated minimal and ignored in reliability andmaintenance literature. A repairable manufacturing system isstudied which incorporates various costs, such as inventory,

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Session
Date
Time
Room
Chairs

E-Business and E-Commerce
Wed, 12 Dec
13:30 - 15:00
S228
Yi-Hui Liang, Bouchaib Bahli

Cultural Adaptations of Macau’s Casino Hotel Web Sites
Chang Boon Lee1, Stella Leong11
University of Macau, China

The objectives of this study are to (i)investigate the impact of
Hofstede’s cultural dimensions on the design and contents of
Macau’s casino hotel websites and (ii) evaluate the differences
between the local Macau’s casino hotel websites and the foreign
casino hotel websites. The study uses content analysis as the researchmethod. It covers seven main areas of web design and contents.
These are Interaction, Information Architecture, Navigation Design,
Information Design, Presentation Style, Image, and Text. The results
indicate that each cultural dimension has impact on particular areasof web design and contents. Additionally, the Macau websites withforeign brand name show a high degree of localization in terms of thecountry-specific adaptations (such as languages that suit thecustomers) and the use of country-specific website address.

A Study of Impulse Buying in Virtual Communities
Guohong Wei1, Chun Hu1
1
Beijing University of Posts and Telecommunications, China

In theories and studies of Impulse Buying, residents’ impulse buying
in Virtual communities (VCs) has been ignored. The purpose of thispaper is to provide an explanation of factors influencing impulse
buying of Chinese residents in VCs, which can help the advertisers todevelop better market strategies. The authors draw on Impulse
Buying theories to develop a model of the influence mechanism ofusers in VCs on the behavioral of impulse buying. The model istested using data collected among Chinese virtual communities’
consumers. The findings illustrate the importance of advertisingform, knowledge sharing in a virtual community, the virtual
community favorite, impulse buying experiences, users’ familiarity
and individual instant decision to the residents of virtual
communities’ impulse buying. The findings of this study haveimportant implications to virtual community or impulse buying
researchers. The results of this study also have several important
implications for practitioners of advertising in China.

Generic Modeling Propositions for Configuring, Sale,
Product and Production

Evaluations of A Core Broking Model from the Viewpointof Online Group Trading
Pen-Choug Sun1, Michael Odetayo2, Rahat Iqbal2, Anne James2
1
Aletheia University, Taiwan
2
Coventry University, United Kingdom

A new Core Broking Model (CBM) is proposed to resolve grouptrading problems in e-markets. The aim of this paper is to evaluate
the new model from the viewpoint of online group trading. A
simulation system for the evaluations of new model was used togenerate test data and to produce outputs from the core and the CBM.
The results show that the CBM is superior to the core in distributed
computing, computational complexity, and incentive compatibility
when applied in e-markets. They demonstrate that the CBM canattract customers and deal with online group trading problems
effectively in a large coalition. An extensive evaluation of the CBM
has been made and shows that the additional techniques in the CBM
have all successfully produced the desired result.

The Effect of Online Group-buying on Off-line Buying
Decisions
Junfeng Liao1, Xichen Dong1, Xunqi Liu1
1
South China University of Technology, China

The paper bases on the related theory of customer perceived value,
and make a research on how online group-buying influence off-line
buying decisions as a tool of promotion. The empirical results revealthat by joining group-buying business make a significant effect on
off-line buying. Magnitude discount and product usefulness ofgroup-buying both have positive effects on customer perceived value.
However, product usefulness has a more significant effect ongroup-buying decisions indirectly via perceived value.

Study on the Loss of Social Welfare Caused by Search in
the Market Based on the Asymmetric Information
Qiong Wang1, Shixiang Huang1
1
University of Anhui Agricultural, China

According to the traditional economics, the best efficiency of
resources allocation is produced in perfectly competitive market.
However, the conclusion neglects the dealers’ “search” which is to
get the complete information. This is a process which costs so muchtime that it has a big effect on the market equilibrium. As a result, thecost of search largely affects the efficiency of resources allocation.
The study is based on the Asymmetric Information theory and the
Search theory, it discusses the destruction to perfectly competitivemarket and the loss of social welfare caused by "search", and puts
forward the solutions--advertisement and setting up the third agency
at last.

Linda Zhang1, Elise Vareilles2, Michel Aldanondo3, Petri Helo4
1
IESEG School of Management, France
2
University of Toulouse, France
3
Toulouse University, France
4
University of Vaasa, Finland

Facilitating product customization, configuration has attracted muchattention from both academia and industry alike. However, theavailable studies and the reported systems focus on sales or productconfiguration while leaving other important issues in developing
customized products unaddressed. In this study, we propose a new
configuration concept: integrated SAles, Product and Production
configuration (SAP2 configuration) to accommodate the entire
product customization process. In this study, we focus on theunderpinning configuration model: the generic bill of functions,materials and operations (GBoFMO) and discuss it in detail.

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Session
Date
Time
Room
Chairs

Project Management (2)Wed, 12 Dec
15:30 - 17:30
S228
Norbert Trautmann, Marie-Louise Barry

Entering the Nuclear Power Plant Supply Chain: theFrance Case Study

Giorgio Locatelli1, Mauro Mancini2, Gianluca Cocco2, Valentino Ruzzon2
1
University of Lincoln, United Kingdom
2
Politecnico di Milano, Italy

The so called nuclear renaissance is creating a huge market eventhough the criticality of the supply chain: few firms have thecapabilities to work in this complex and demanding market, whereas
many other are investigating the option to enter. The international
scientific literature provides information regarding the governmental
topics of nuclear power programs in different countries, but theanalyses at firm level are almost inexistent. In particular it is unclear
how an EPC (Engineering, Procurement and Construction) company
can enter the supply chain (or project delivery chain). In order toanswer this research question the paper investigates the French casestudy. First it investigates the pure historical facts and shows how
French companies developed the national supply chain thanks to astrong governmental support. Then, the typical pattern used in a
French NPP project is described analysing the five most relevant
companies.

Bidding Decision Making in Construction Industry: An
Analysis Based on Procedural Rationality
Zhuo Feng1, Shuibo Zhang1, Ying Gao1, Fei Kang1
1
Tianjin University, China

Through a literature review, we find that the bidding models basedon rational theory have revealed little practical values by only taking
into account of environmental constraints leaving bounded
rationality neglected. This paper studies how bidders’ cognitive
limitations will affect their decision process in the framework ofbounded rationality and we find that the satisficing rule and theaspiration level play a critical role. Cognitive limitations require thefocus on how bidding decisions are made, so we give a procedure to
guide bidders to realize procedural rationality. To test the efficacy ofthis procedure, further empirical or experimental research is needed.

Strategic Resource Planning Based on Staffing Profiles
Eduardo Miranda11Carnegie Mellon University, United States

At any given time, an organization has a finite capacity to perform
work and although this capacity could be modified, the process ofacquiring or reducing the necessary resources takes time. Because ofthis, the organization needs to plan how much work to take in, or if adecision to change its current capacity is made, when and by how
much. Failure to plan leads to paralysis by firefighting or toinefficiencies in the use of the available resources. This paper
describes a method to efficiently do this based on the idea of staffing
profiles.

Theory of the Triple Constraint - a Conceptual Review

C. Jurie Van Wyngaard1, Jan-Harm Pretorius2, Leon Pretorius3
1
Graduate Universities of Johannesburg and Pretoria, Employee Saab Electronic
Defence Systems, South Africa
2
University of Johannesburg, South Africa
3
University of Pretoria, South Africa

Projects are generally undertaken because they are part of the plans
to meet business needs and charter organizations to new levels of
performance. Projects are however constrained by conflicting
demands and competing priorities within the project environment.
Neglecting to manage these constraints accurately and effectively
may be sufficient to condemn a project even if all other project
management activities are performed to a high standard of
excellence. The aim of this paper is to improve the interpretation of
the triple constraint and its dynamics and indicate how this may
advance the delivery of project success. An integrated model is
proposed to facilitate the strategic management of the triple
constraint trade-offs as a function of the project higher purpose.

Accounting for Risk Interactions and Using Importance
Measures for Risk Prioritization in Project Management
Chao Fang1, Xun Xiao1, Xiaoyan Zhu2
1
City University of Hong Kong, Hong Kong
2
University of Tennessee, United Statesmodel is used to account for risk interactions. Various measures arethen proposed to assess the risks and risk interactions with respect totheir influence on the defined global risk exposure. An example ofapplication to a real musical staging project is presented.

Perceptual Differences Between Project Managers andSponsors in the Intiation Phase of a Project
Stephen Onu1
1
University of Maryland, United States

The information technology industry faces a growing problem of
project failures with losses estimated at billions of dollars. The
purpose of the study was to determine whether sponsors’ andmanagers’ perceptions differ during the initiation phase of a project
life cycle, and whether differences have an impact on project
performance. Respondents were dyads of sponsors and managers
who were members of the Washington, D.C. chapter of the ProjectManagement Institute. Results indicated no significant differences inperceptions of project performance as long as managers andsponsors shared a common definition of project success, and theseinteracting sponsors and project managers tended to perceive project
performance similarly. Future researchers should consider using
qualitative analysis to investigate sponsors’ and managers’
perceptions of the planning and executing phases to determine
whether perceptual differences are magnified or minimized in thesephases, as planning and execution are more complicated than project
initiation.

Risk Management for Construction Projects with Colored
Petri Nets: an Agent-Based Modeling Framework
Yangbing Zhang1, Yongqiang Chen1, Xingyu Zhu1
1
Tianjin University, China

Construction project is indeed a complex system, where many
participants are involved and interact with each other. Risk
interdependence brought up by interactions between participants isoften ignored, which may lead to inaccurate risk assessment andinefficient risk management. This paper deals with the riskinterdependence from a complex system’s perspective. We first
explained how the risk interdependence arises through theinteraction between participants, to draw forth the idea of
establishing an agent-based model to manage risks in construction
project system. Then a framework using colored Petri nets (CPNs) toestablish an agent-based model for construction project system wasintroduced. Its application to manage risks was also briefly
illustrated. Further research is about to realize the CPNs models forthe construction project system and put it into application. It isbelieved that studying the risk interdependence will be helpful tomore accurate project risk assessment and better risk management.

On Deployment of Empowered Team Concept into Matrix
Organization
Hanwei Xu1, Bin Lin1, Minmin Shen1
1
Siemens Ltd. China, China

The empowerment concept is a popular method of motivating people
and increasing productivity. There are many studies conducted on itby management researchers and practitioners, but limited literatures
have examined the challenges in practice and valuable experience.
This paper proposes that the successful deployment of empoweredteam concept in a matrix organization shall have four phases:
Preparation, Initiation, Definition, and Deployment. With an actual
case from the joint venture of a multinational company, the goodpractices in defining the empowerment procedure, challenges met in
implementation, and piloting results are discussed.

Robust Optimization of Project Portfolio Selection and
Scheduling Problem with Stochastic Returns
Ying Li1, Yongyi Shou1
1
Zhejiang University, China

An improved robust optimization model for project portfolio
selection and scheduling problem under uncertainty with stochastic
returns is proposed in this paper. The scenarios are introduced tocapture the uncertainty of project returns and an aggregate objectivefunction is designed to balance the tradeoff between the return andrisk of selected portfolio. The computational experiment on an
example shows that the proposed robust optimization model has agood performance on the quality of solutions.

In this paper we present a method using importance measures for
project risk prioritization. First, a simulation-based risk network

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Session
Date
Time
Room
ChairsGlobal Manufacturing and Management (1)Wed, 12 Dec
11:00 - 12:30
S229
Chih Wang, Supachart Iamratanakul

Strategy for Virtual Factory Information System Design
Yuqiuge Hao1, Ahm Shamsuzzoha1, Petri Helo1
1
University of Vaasa, Finland

Rapid changes of today’s global business environment demands fordesigning an advanced information management system as essential
to share valuable knowledge and expertise among collaborative
factories. With such perspective, a strategy for process based Virtual
Factory Information System (VFIS) design is proposed in thisresearch. This strategy provides not only a method but also a
concrete tool for SMEs (Small and Medium Enterprises) to realized
the VFs integration. The VFIS design optimizes VFs manufacturing
processes and ensures faster response to changing customers’
demands. It will also support tight integration with external systems
and contributes to visualize the virtual factory management systems.
In this paper, new Virtual Factory Lifecycle and its Architectural
Framework are also illustrated.

Virtual Enterprise Management: Perspective ofProcess-Based Business CollaborationAHM Shamsuzzoha1, Filipe Ferreira2, Jose Faria2, Americo Azevedo3,
Yuqiuge Hao1, Petri Helo1
1
University of Vaasa, Finland
2
INESC TEC, Portugal
3
INESC TEC, Faculdade de Engenharia da Universidade do Porto, Portugal

The reality in today’s business is to compete with dynamic andshorter market opportunities. In order to cope up with suchenvironment, manufacturing firms, especially small and medium
size enterprises (SMEs) are needed to collaborate with each other formutual benefits. This collaboration offers process enhancement
within the environment of virtual enterprise (VE) and contributes
towards sharing costly resources and valuable knowledge among
manufacturing companies. This research is basically focused on theprocess collaboration among companies that motivates themachieving identified business opportunities. A collaboration
framework is proposed in this paper with respect to VE process
mapping. Visualization of such processes is also highlighted though‘Dashboard’ user interfaces in order to monitor and control a
successful VE.

The Relationship among Country of Origin Effects, Brand
Image and Purchase Intentions in Taiwanese Apparel
MarketChu Erh Hsiung1, Cheng-Ter Ho1
1
National Kaohsiung University of Applied Sciences, Taiwan

Scientific Catch-up Process in Asian Countries: A Case
Study of Solar Cell

Ichiro Sakata1, Hajime Sasaki1, Hisato Tashiro1, Aya Ishihara1, Keiko
Kayukawa1
1
The University of Tokyo, Japan

A significant structural change in the pattern of economic
development in Asian countries has been observed in recent years. In
this paper we analyzed their scientific catch-up status using scientificpapers on solar cells to clarify the structural change. We found as aresult that the catch-up process in Asian countries had progressed
rapidly, that some countries had a larger share of scientific papers in
the frontier field of advanced science than in the matured fields, andthat the strategy largely changed from country to country. A"parallel-running-type growth model" has thus been emerging in
Asia. We also showed that bibliometrics is an effective method forpresuming a detailed strategy that is not opened as policy.

Technology Gap, Market Experience and MNCs’
Technology Licensing Strategies: Evidence from China
Lei Xiong1, Xiaobo Wu1, Rui Guo1, Ruishe Zeng1
1
Zhejiang University, China

This paper investigates the relationship between technology
capability and licensor’s strategies in international technology
licensing. By using data of international patent licensing happened in
China, we examine the technology gap’s impact on the number ofpatent and exclusive right in licensing contract. And firm’s
experience in China positive moderates the relationship between
technology gap and licensor’s choice. Our results extend licensing
theory and international business theory.

Using System Thinking to Investigate Co-Opetition
Analysis for Manufacturers in the Cloud Industry
Chin-Yuan Fan1, Sheau-Pyng Ju1, Ming-Fong Lai1
1
National Applied Research Laboratories, Taiwan

Recently, cloud technology has become an emphasized field fordevelopment in the international communications and technology
market. However, the definition of cloud services, whether
competitive and cooperative behaviors exist in the overall process ofthe cloud industry, and whether co-opetition is only a beneficial
cooperation and competition that enables manufacturers to expand
the overall cloud market and develop the cloud industry are issues
worthy of investigation. For this study, we employed a system
dynamics model to explore co-opetition conditions among the
manufacturers of the cloud industry. We further used this data to
conduct strategic analysis from the perspectives of countries,
industries, enterprises, and individuals to consider the development
conditions of the cloud industry and propose appropriate
development policies for the industry. The research results can assist
the cloud industry in achieving sound and comprehensive
development.

On account of increasing globalization, competitiveness between
enterprises has significantly grown. To increase competitiveness andlower product prices, many managers decide to move manufacturing
sites to different countries. Country of Origin effects have therefore
become an important issue. This research explores how Country of
Origin and brand image influences consumers’ purchase intention. A
conceptual model is designed to discuss the relationship among
Country of Origin, brand image and consumers’ purchase intention
in Taiwan’s apparel market. This research analyzes data concerning
Country of Origin and brand image on consumers’ purchaseintention and finally concluded that brand image influences
consumers’ purchase intention more significantly than Country of
Origin.

93

93

Session
Date
Time
Room
ChairsGlobal Manufacturing and Management (2)Wed, 12 Dec
13:30 - 15:00
S229
AHM Shamsuzzoha, R. Kant

Global Product Development: the Experience in a Brazilian
Manufacturing and Assembler Automotive Subsidiary
Andre Segismundo1, Paulo A. Cauchick Miguel2
1
University of Sao Paulo, Brazil
2
Federal University of Santa Catarina, Brazil

The literature identifies a trend of new vehicles development at
global level resulting in a global product development (GPD). In thiscontext, this paper aims at analyzing the decentralization of GPD in
an assembler of commercial vehicles. Factors that contribute to thedecentralization of GPD are considered in this investigation as wellas their causes. Case-based research is adopted as the researchmethodological approach, conducted in a Brazilian assembler and its
headquarters in Germany. The results indicate that the organization
reacts similarly to other economics industrial sectors (e.g.
telecommunications) when facing the decision of decentralizing GPD.
Unlike other studies, it was also found that modular design has
influence on the GPD decentralization process. The interest of thelocal market and historical aspects of the evolution of the subsidiarywere found to be relevant. From these results a proposed structurefor GPD and adoption of modular design is suggested.

The Impact of Guanxi on Internationalization Entry Mode
for Chinese Enterprises: A Multiple-Case Study
Rongjun DU1, Xiaobo Wu1, Xubo Bai1
1
Zhejiang University, China

Two types of guanxi in Chinese context have aroused scholars’
concern in recent year. Through a multiple-case study, this paper
discussed how guanxi with governments and partners influence on
the internationalization of Chinese enterprises. Four manufacturing
companies from Zhejiang and Jiangsu Province typically reflects the
positive impact of guanxi on the internationalization. Mode ofGreenfield relies much more on the guanxi with governments while
the mode of export prefers the guanxi with partners.

Facilitating Customer Involvement Into theDecision-making Process of Concept Generation andConcept Evaluation for New Product Development
Chih-Hsuan Wang1
1
National Chiao Tung University, Taiwan

Customer-preference based market segmentation could offer
numerous business synergies to achieve successful new productdevelopment, such as: (1) learning which product attributes are mostcritical to distinct segments, (2) identifying niche segments to assist
an enterprise in generating design concepts, (3) helping productmanagers better predict customers’ desires to effectively implement
promotion plans. In this study, a novel framework integrating
conjoint analysis with Kano model is proposed to address theaforementioned issues. By virtue of conjoint analysis, customer
preference is initially formulated through their perceived importancedegrees of critical attributes and the entire market is segmented
accordingly. Thereafter, for distinct segments, conjoint analysis isemployed again to extract customer utilities of critical attributes
while Kano model is used to elicit customer delight/disgust of
optional attributes, respectively. Finally, a real case study on
generating and evaluating various design alternatives of asmart-phone is demonstrated to validate our proposed approach.

Information Interpretation-oriented Integration Interface
for Manufacturing Enterprises
Changyu Chen1, Gang Zhao1
1
Beihang University, China

Information interpretation obstacles greatly threat the usability of
manufacturing enterprise information systems. This paper discusses
the problem of information interpretation followed by system
integration of manu-facturing enterprises. It then proposes
information interpre-tation-oriented integration interface for
manufacturing enterprises to solve the problem of informationinterpretation obstacles after information modules integration.

Latest Developments Aiming an Integrated Management
System Tool Focusing Maturity Assessment
Jose Pedro Teixeira Domingues1, Paulo Sampaio1, Pedro Arezes1
1
University of Minho, Portugal

Integrated management systems (IMS) widespread among
companies due to the release, by international entities, ofmanagement sub-systems implementation standards. The
integration level achieved by the IMS varies from company tocompany. Rating the integration level is crucial information. Maturity
models have been implemented in several business, productdevelopment and in management sub-systems context in order toguide the company to an ultimate excellence level. An IMS maturity
model development is, currently, aimed by researchers and a realneed in companies. It is intended in this paper to report the efforts
that are being made and the methodologies that are being followed
to develop such a model. Additionally, it is also intended to present a
preliminary model version.

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Session
Date
Time
Room
ChairsSafety, Security and Risk Management (2)Wed, 12 Dec
15:30 - 17:30
S229
Bouchaib Bahli, Sung Shim

Value Drivers in Supply Chain Security

Lea Hannola1, Ville Ojanen1, Sirra Toivonen2, Tuomo Kassi11Lappeenranta University of Technology, Finland
2
VTT Technical Research Center of Finland, Finland

corrosion may reflect the security state of a storage tank, and it can
provide scientific references to the anti-corrosion and maintenance insafety management. Grey Model GM(1,1) in the Grey Theory, which
is programmed by MATLAB, is introduced and applied to predict
the soleplate corrosion of No.G-2 petroleum storage tank in Luquan
oil depot. Compared with the measurements, the prediction results
meet them very well, which shows that this model is practical, fast,and convenient. Meanwhile, it can reflect the status and the corrosion
rate of a petroleum tank. Therefore, it is suitable for wide
applications in other relative fields.

Understanding and assessing the value of security and disturbancemanagement in supply chains is a significant challenge for logistic
solution providers. The objective of this paper is to identify andprioritize the key challenges and value drivers of disturbancemanagement, which can be utilized in the development of security
solutions for customers. Further, the study clarifies the key conceptsof security, disturbance management and value assessment in logistic
multi-stakeholder networks. The value drivers are derived frommultiple perspectives. The data has been collected in an expert
session and also with semi-structured theme interviews, conductedin five companies representing different roles in a logistic network.
As a result of the study, the most significant value drivers of
disturbance management in the logistic network are identified andanalyzed, and a new framework for categorizing the key value
drivers of disturbance management is created.

Safety-instrumented systems (SISs) are of-ten crucial in theprevention of accidents. In this study, several reliability assessment
methods, including the ap-proximation formulas in IEC 61508 and in
the PDS hand-book, and Markov and Petri net methods, are used todetermine the reliability of a redundant SIS configuration with threeparallel channels. The average probability of failure on demand(PFDavg) is used as reliability measure, and common cause failures
and proof tests are considered in the modeling. The results obtainedby the different methods are compared, and characteristics of thesemeth-ods in SIS reliability analysis are discussed.

Development of a Barrier Management System forContinuous Monitoring and Maintenance of Safety
Barriers

Dynamic Measurement and Evaluation on Foreign
Exchange Risks of International Construction Projects

R.M. Chandima Ratnayake , Sukvir Panesar Singh , Jawad Raza
1
University of Stavanger, Norway
2
Apply Sorco, Norway
1

2

2

Reducing the risk of major accidents in the oil and gas (O&G)
industry is one of the main priorities for operator and engineering
contractor companies as well as for regulatory authorities.
Weaknesses or failure of safety barriers may lead to serious
consequences in the form of major accidents. Unexpected equipment
failures,inadequate
maintenance,
andweaknessesinhuman/machine interface can be some of the causes of weaknesses or
failure of safety barriers. Safeguarding barrier integrity is vital overthe life cycle of an O&G installation to ensure safe operations. A
Barrier Management System (BMS) is important for monitoring theperformance and technical degradation of the equipment that could
lead to impairment of barrier integrity. The BMS also enables
visualization of the integrity status of safety barriers, which enables
the managers to initiate mitigating actions as soon as barrier integrity
impairment is noticed. This manuscript illustrates a methodology
used for the development of a Barrier Management System, based on
industrial experience, for an operator company functioning on the
Norwegian Continental Shelf.

How Can We Improve Healthcare Management for Patient
Safety by Analyzing Large-Scale Incident Reports ?
Masanori Akiyama1, K Fujita1
1
The University of Tokyo, JapanThe analysis of medical incident reports is indispensable for patient
safety management. Most of the incident reports include freedescriptions, however, the analysis of free descriptions aren’t enoughin the medical area. We aimed to accumulate, to interpret
information again by structured incident information, and to clarify
the point that should be improved for the cause of the accident andsafe medical treatment improvements in the present study. We
employ the natural language processing and the network analysis for
detecting effective categories of Medical Incident Report. The
network analysis can find various relationships that are not only
direct relationships but also indirect relationships. We detect the newcategories based on the network analysis and compare between
existing categories based on expert’s decisions and bottom-up ones.
By the network analysis using the large number of incident reports,some of new perceptions for improving the patient safety
management are appeared.

Prediction of Soleplate Corrosion in Petroleum Storage
Tank Based on Grey Model GM(1,1)

Xiao-gang Zhao1, Yi Zhou1, Fei Cheng1, Jian-cheng Zhu2, Jie Zheng2,
De-peng Gao 3
1
Logistical Engineering University, China
2
Beijing Military Region, China
3
Jinan Military Region, China

Modeling and Reliability Assessment of a 3-channel
Safety-instrumented System
Yiliu Liu1, Marvin Rausand1, Hui Jin1
1
Norwegian University of Science and Technology, Norway

Xiuqin Wang1, Bin Gao1
1
Tianjin University, China

Due to the complex economic and political situation of the world,
China's international construction engineering enterprises are facedwith great risks and challenges in the overseas markets, among
which the foreign exchange risks have become increasingly
prominent. The payments and costs of international construction
projects are generally denominated in different currencies and thus
the exchange rate fluctuations during the whole contract period cancause severe losses for the projects. This paper identifies foreignexchange risks of international construction projects, develops a
dynamic measurement and evaluation methodology on foreignexchange risks based on the net present value at risk method in orderto facilitate the international construction contractors to measure andevaluate foreign exchange risks and take effective measures in time.
Finally, a case analysis is advanced and the feasibility andeffectiveness of the methodology are validated.

Resilience Measurement for A Class of Supply Chain
Disruption
Shu Yi1, Xinping Wang1, Lindu Zhao1, Micheal Herty21Southeast University, China
2
RWTH Aachen University, Germany

As a recently concerned engineering and management topic, supply
chain resilience is aimed to respond to the threat from theincreasingly instable economic environment and disruptive events
that might occur at any time. With an insight in the researchbackground of supply chain resilience, this article make an analysis
and description of this conception. Based on the understanding of
supply chain resilience, a measurement method is proposed toquantify supply chain resilience after a class of disruption where one
supplier could hardly recover in the short term.

Estimating the Remaining Useful Life of Li-ion Batteries
with a Bayesian Updating Model
Yizhen Hai1, Jie Tang1, Kwok Leung Tsui1
1
City University of Hong Kong, Hong Kong

In this paper, we studied a prediction method for the remaining
useful life of Lithium-ion batteries. First, a battery degradation model
is obtained based on exponential degradation signal modeling withdata collected from second generation 18650-size lithium-ion cells
from NASA. Using a Bayesian updating procedure, we then obtainthe conditional cumulative distribution function (cdf) of the residuallife of the battery at various time intervals. Finally, we discuss thismethod and draw the conclusion that the model is accurate in terms
of prediction.

The corrosion protection of petroleum storage tank is important forsafety work in petroleum depot. Precise prediction of soleplate95

95

Session
Date
Venue

Poster Session 2
Wed, 12 Dec
Level 2 Foyer

Reliable Joint Inventory Location Problem with Penalty
Cost and Capacitated Facilities
Elham Taghizadeh1, Mostafa Abedzadeh1, Mostafa Setak1
1
K.N.Toosi University of Technology, Iran

Logistics network design includes assignment of locations andcapacities for new facilities, procurement and production planningand distribution. It is expected opened facilities work properly for along time horizon. In most cases consider that all facilities will work
constantly without any failure; but in real world problems, facilities
may face disruptions. This paper studies a reliable joint inventory
location problem that optimizes facility locations, customers’
assignment, and inventory management decisions when facilities are
subject to failure risks. The model is proposed based on p-medianproblem and the facilities are considered to have limited service
capacities. Our model has an objective that minimizes the sum offacility construction costs, expected inventory holding costs andpenalty cost. Since the model is NP- hard, for solving this model we
use NSGAII algorithms. Numerical experiment results show this
proposed model is suitable of providing a near optimum solution
within a short computation time.

Impact of Customer Response to Retailer Stock-out on
Supply Chain Performance
Xiaoling Zhang1, Qiang Lu1, Teresa Wu2
1
Harbin Institute of Technology Shenzhen Graduate School, China
2
Arizona State University, United States

Considering the ultimate goal of a performing supply network is todeliver products/services to the end customers, this paper studies
how customers respond to stock-out (a post-disruption event) andhow different patterns of customer response affect the supply chain
performance, for which a high level Petri-net is developed to model a
supply network with two brands of product and two stores, followed
by a detailed simulation. Five different patterns of customer behavior
are incorporated in the model to quantitatively assess the correlation
between customer response and supply chain performance
represented by bullwhip effect, on-hand inventory, and backlog levelof both the stock-out brand and the competing brand.

Pricing and service level strategies based on customers
Junxiu JIA1, Z. Yuan1
1
Xidian University, China

The paper focuses on a service supply chain with a service customer,a service provider and online shoppers. The service customer makes
products pricing strategies and determines the coefficient of sharing
costs with the service provider. Products demand depends on not
only online shoppers’ buying sensitivities but also their behavior
intention, such as the probability of repeated buying. The service
provider sets service price and service levels. We propose optimalmodels and obtain following conclusions. There exist the optimal
combined service pricing and service level strategies for the service
provider. The service customer can also get optimal products pricing
policies and an optimal coefficient of sharing the cost under acondition. The numerical example shows that the probability of
repeated buying has a monotonous effect on all strategies.

A Simulation Based Experimental Investigation of
Demand and Supply Uncertainty
Carman Ka Man Lee1, Rohan Pasari2
1
The Hong Kong Polytechnic University, Hong Kong
2
Nanyang Technological Unviersity, Singapore

This paper proposes a model that can be used by organizations tobetter plan their procurement strategies and hedge their demand andsupply uncertainties. The conventional way of procurement planning,which is usually based on estimation and experience, lack ofscientific analysis. Risk Solver platform in MS Excel is used toformulate a simulation model from a buyer’s perspective,
incorporating the following demand and supply uncertainty
elements: stochastic demand, uncertain yield, and spot market pricevariability. Monte Carlo simulations are then used to determine theoptimum procurement quantity and the profit maximizing point.
The originality of the paper is to study how the optimal procurement
decisions are made under demand and yield uncertainty in thepresence of spot market. A framework is also developed tounderstand the impact of different uncertain variables on the firm’s
profits

Forecasting Product Returns Using Causal Analysis andMultiple Linear Regression

Shantanu Chakraborty1, Rajesh Kumar1, Prasanna Akella1, Satyendra
Singh1
1
Hewlett Packard, India

Some of the key challenges in managing reverse logistics operations
are, getting a visibility into the expected product returns in the futureand increasing the speed of the returns management process.
Accurate forecasting of non-performance related product returns
helps to plan better for repair parts, faster refurbishment and lower
mark downs on their remarketing. Effective management of productreturns helps organizations build a sustainable and environment
friendly business model by improving their financial performance inthe short run and reducing product scraps in the long run. Our paper
focuses on using a statistical hypothesis framework to develop thecausal drivers for product returns. We showcase how these causal
drivers can be converted into a multiple linear regression model togenerate accurate forecasts for product returns not only in quantity
but also in their timing. We also discuss the deployment of themethodology in personal computer business generating significant
dollar impact.

Evaluating Retailer Consumer Return Policy under VMI
Partnership
Shahrokh Hematyar1, S. Kamal Chaharsooghi2
1
P.N. University, Iran
2
Tarbiat Modares University, IranThis paper investigates decisions of a supply chain consisting of one
manufacturer and one retailer where supplier retains ownership of
the inventory and gets paid from the retailer based on actual units
sold. Market demand for the product is price- sensitive and uncertain.
We study and compare two different scenarios. The first, retailer
facing only demand uncertainty (VMI), while the second scenario,
retailer faces stochastic demand and consumer return (VMI-R). With
the increase in product variety, consumers may feel uncertain about
whether specific items fit their needs. Retailer uses consumer return
policy as a sign of high quality of product and to increase customer
satisfaction. We integrate consumer returns policy and VMI within
our model. We show that with refund policy, the supply chain loses
at least 26.4% of its first-best (expected) profit, while without refund
it loses just as much or no more than 26.4% of the first-best profit.

Decision Aided Tool for Recycled Spare Parts Management
Under Uncertainties
Nouha Ghorbel1, Sid-Ali Addouche2, Abderrahman ElMhamedi2, Younes
Boujelbene3
1
University of Paris 8, France, University of Sfax, Tunisia
2
University of Paris 8, France
3
University of Sfax, Tunisia

The legislative constraints, the need to optimize the dismantlingprocess, the introduction of recycled parts on the spare parts market
are reinforced since the systems in end-of-life phase have become
increasingly profitable. There are few works that treat recycled spareparts integration problem in economic models of inventory control.
These works do not consider uncertainty. In order to manage more
realistically the inventory control of spare parts, we propose aprobabilistic model formalized by a Bayesian network. The model isused to identify the best purchase policy. More precisely, it allows
choosing the best proportions between new spare parts (NSP) andrecycled spare parts (RSP) by taking into account the traditional
criteria of inventory control and the availability of the spare parts on
the market. The proposed method provides a decision-making tool
for manufacturers who are interested both in reducing the costs ofstocks and guaranteeing a minimal availability in an uncertain
environment.

An Integrated Method of Hierarchical Planning and"Pull-way" Production Control for Lean Shipbuilding
Mingdi Zong1, Houfang Sun1
1
Beijing Institute of Technology, China

Issues are investigated when shipyards are trying to manage theirreceding horizon plan and control their production process in a“pull” way, based on the principle of lean manufacturing. A
hierarchical planning and “pull-way” production control integration
system model is established, which provides the shipyards
architecture of realizing the lean manufacturing in planning andproduction control area. Then, a production control method is
introduced where the bottom level is based on pull principle, while
under the restriction of receding horizon plan. The study reveal that96

96

even under the “make to order” production mode of shipbuilding, it
is still possible to establish a leanness oriented planning andproduction Control system, where the receding horizon plan canwork well together with the “pull-way” production control. The
result of a production process simulation is introduced at the end of
the paper, to validate the advantage of the suggested control method.

Optimal Control of a SOM System with Demands for
Product and PSS
Kangzhou Wang1, Zhibin Jiang1, Tongyi Wang1, Guowei Li1
1
Shanghai Jiao Tong University, China

In this paper, we address the problem of optimal control in a
service-oriented manufacturing (SOM) system. The optimal dynamic
admission control of the product orders and the optimal dynamic
production control of products are examined simultaneously. We
formulate the integrated optimal control problem as a continuous
Markov decision process. and characterize the integrated optimal
dynamic control by two monotonic switching curves. The optimal
control policy highlights the coordination between the controls of
manufacturing subsystem and service subsystem in the SOM system.
We also illustrate the impacts of the revenues of both product orders
and PSS orders on the optimal policy numerically.

A Due Date Assignment Method based on LOMC
Hao-yun Yan1, Bin Wu1, Hong-yu Li2
1
Shanghai Dian Ji University, China
2
Fudan University, China

In this paper a due date assignment method based on LOMC
(Load-Oriented Manufacturing Control) has been presented that is
applicable to discrete MTO (Make to Order) environments facing
dynamic order arrivals. As a capacity-driven approach, this method
considered the influence exerted by LOMC mechanism anddetermined the possible release date of an arriving order, according
to the workload information of the order and current available
capacity of the manufacturing system. Then the due date of the ordercould be obtained. Meanwhile, LOMC mechanism and thedispatching rule were adjusted to comply with the plan arranged bythis method. Simulation experiments were carried out to compare
this method with several due date assignment methods previously
examined in the literature. Simulation results verified its
effectiveness and several important conclusions were obtained.

Analysis of the Life Cycle Trend of the Export Market of
Taiwanese Bicycle Industry
Leichuan Lin1, Shan-Yau Wu1
1
National Kaohsiung University of Applied Sciences, Taiwan

With the Bass Model of the diffusion theory as tools and the export
volume and the export price of Taiwanese bicycles as variables, thisresearch calculated the innovation and imitation abilities, as well as
the market potential, shown in European, American and Asianmarkets through optimized adjustment of innovation coefficient (p)and imitation coefficient (q), and further explored the characteristicsof the export markets of Taiwanese bicycles. The study found that theunit price of the products not only reflects the consumption
characteristics of the markets, but is also positively correlated with
the innovation ability. This research can not only provide
decision-makers reference for prediction of product life cycle trend,
but also offer assistance to future studies using Bass Model to predict
the sales volume.

A Novel Formulation for Unit Commitment With Wind
Power Considering Production Cost of Every Generator
Guowei Hu1, Zhaohong Bie1, Bowen Hua1
1
Xi'an Jiaotong University, China

This paper presents a novel Unit Commitment (UC) formulation
with wind power considering production cost of every generator. In
the proposed formulation, the subsidies will be provided for thosegenerators whose production cost per MWh rises due to wind power
integrated into power system. In order to avoid exorbitant subsidies
for inefficient generators, the objective function of the proposed UC
formulation is to minimize the sum of the total production cost andsubsidies. In addition, two improved models considering storage
devices and demand response are proposed in order to reduce theimpact of the anti-peak regulation characteristics of wind power. The
simulation results of conventional UC show that the power
production cost per MWh of most generators rises remarkably owing
to the integration of wind power, and the proposed UC formulation
is more reasonable and effective. Meanwhile, the improved models
are effectual to overcome anti-peak regulation characteristics of wind

power and reduce total production cost and subsidies, while themodel considering demand response seems to be more promising.

Orders Tracking and Production Visualization Oriented
Lean Production
Jialin Han1, Yaoguang Hu1, Jingwen Li1, Qiqi Yin1
1
Beijing Institute of Technology, China

In current industrial area, opaque information of order tracking andproduction process seriously impedes the promotion of lean
production. In order to solve this problem, the method of order
tracking and production visualization is studied. The model ofbusiness activities and information chain in manufacturing process israised up. And information collecting method based on key nodes
and information analyzing method based on event are discussed. Inorder to satisfy the requirements of order tracking and production
visualization of an electronic component company, the system oforders tracking and production visualization oriented lean
production is designed to provide accurate data and information topromote lean production.

An Adaptive Approach to Failure Modes and Effects
Analysis for Computer-aided Inspection Planning

Shirin Mirdamadi1, Ali Siadat1, Jean-Yves Dantan1, Lionel Roucoules1
1
Arts et Metiers ParisTech, France

In robust design, the principle is to improve product quality
minimizing the impacts of variations. Variability depends strongly
on the set of explicit and implicit decisions taken during productdesign, selection of methods, processes and resources. This paper
presents a new approach to decision making for inspection planning.
The proposed approach requirements are then emphasized. As well
the necessity of quality management tools integration in decision
making is concluded. Literature review highlights that each alreadyexistent quality tools satisfies partially these requirements. Amongthese latter FMEA is considered to be flexible and apt enough to beadapted to CAIP. Despite, improving points to FMEA are discussed
and required modifications are then proposed. Future works are aswell presented.

Problem Transformation Approach to Solve theSingle-machine Scheduling Problem with Availability
Constraints
Kenta Takii1, Shunji Tanaka1
1
Kyoto University, Japan

This study addresses the single-machine scheduling problem withavailability constraints. For this problem, we consider two types ofmaintenance activities, fixed and flexible, and two types of jobs,
nonresumable and resumable. Hence there exist four combinationsof problem settings. The purpose of this study is to show that allthese four types of problems can be transformed into the ordinary
single-machine scheduling problem without availability constraints.
This enables us to apply well-developed exact algorithms for theordinary single-machine problem to our problem. It will bedemonstrated by numerical experiments that several types of
instances can be solved efficiently by this transformation approach.

Practical Order Release Planning Linking Enterprise andShop Floor Tracking Systems for High-Mix Low-Volume(HMLV) Manufacturing
Tay Jin Chua1, Tian Xiang Cai1, Feng Yu Wang2
1
Singapore Institute of Manufacturing Technology, Singapore
2Singapore Institute of Manufacturing Technology, Nanyang Technological
University, Singapore

Untimely or uncontrolled release of work orders into production
creates variance in production and in turn leads to highwork-in-process and increased average throughput time, highconversion rate and unbalanced production line. In the HMLV
manufacturing environment (e.g. Precision Engineering industry),
the massive product mix, low production quantity, and the multitudeof production constraints make it virtually impossible for humanbeings to manually optimise the correct product mix to be released tothe production. In this paper, a work order release system was
implemented to bridge the gap between the enterprise planning andshop floor execution. It faciliates the management of the sales orderby generating and releasing the work orders into shop floor,
considering the finite capacity constraints. It also communicates withthe shop floor tracking system during execution of the work orders.
Working togther, these two systems facilitate the management of
unplanned stochastic and dynamic events.

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97

A New Intuitionistic Fuzzy Cosine Similarity Measuresand Its Application
Kuo-Chen Hung1, Kuo-Ping Lin2
1
National Defense University, Taiwan
2Lunghwa University of Science and Technology, Taiwan

Recent several researches have developed similarity measures
method for handling pattern recognition problems based on
intuitionistic fuzzy sets. However, in some cases, those proposed
method can not give sufficient information to discriminate fromsome patterns. Therefore, the purpose of this paper is to present a
new similarity measures model based on intuitionistic fuzzy sets.
This proposed method is provided to enhance measure accuracy
degree of similarity between basic pattern and each sample, so as togive additional information for decision makers. A comparison
between previous existing methods and our proposed method has
been discussed. In addition, an application for radar target
identification has been illustrated through using the proposed
method.

Performance and Efficiency Measurement for CanadianBank Branches
Zijiang Yang1, Yuanyuan Luo1, Younes Benslimane11York University, Canada

In today’s economy and society, the banking industry is of great
importance to every one of us. We all depend on the efficiency andquality of services that the banking industry provides. This paper
presents an evaluation of 726 branches in one big Canadian bankusing Data Envelopment Analysis (DEA). A variety of internal andexternal factors were used to identify the factors that affect thebranch performance. Findings from this study suggest that branchsize, number of commercial customers, number of high value
customers and average household income in the branch areasignificantly affect bank branch’s performance. All the findings are
discussed in the context of the Canadian banking market.

Fuzzy Random Possibilistic Programming Model for
Multi-objective Problem
Arbaiy Nureize1, Junzo Watada2
1
University Tun Hussein Onn Malaysia, Malaysia
2
Waseda University, Japan

A real-life application faces various kinds of inherent uncertainties
which occurs simultaneously. To find solution, formulating realworld problem into mathematical programming model ischallenging. Uncertain parameters in a problem model can becharacterized as vagueness, ambiguous and random of theinformation. Such uncertainties make the existing multi-objectivemodel incapable of handling such situations. Thus, in this paper we
present the multi-objective decision model from the perspective of
possibilistic programming approach to scrutinize the uncertainties inthe decision making. The proposed concept can be used to build
model for multi objective problem which is exposed with various
types of uncertainties. We include an illustrative example to explain
the model, and highlight its advantages.

Effect of Market Orientation on Performance: An
Empirical Study
Hung-Tso Lin1, Yin-Chi Huang2, Chia-Hua Lee1
1
National Chin-Yi University of Technology, Taiwan
2Feng-Chia University, Taiwan

The hairdressing service sector belongs to the market-oriented
industry. This study explores the effect of market orientation on
performance for the 31 chain stores belonging to a hairdressing
company in central Taiwan. The market orientation variables involve
four dimensions, including service quality, customer orientation,competitor orientation and interfunctional coordination. Return on
investment (ROI) and discriminant function value (DFV) are used as
the performance measures. OLS-regression analysis is used to test
the market orientation effect on performance. This study exhibits that
DFV can suitably represent the ROI level, and more importantly,
DFV plays a better measure than ROI to act as the outcome variable.
The analysis results indicate that competitor orientation andinterfunctional coordination can be the useful tools in the market
orientation progress, which mainly relate to the improvement ofbusiness performance.

A Game Theoretic Model for Analysis of Material Reuse
Modularity
Yangjian Ji1, Roger Jiao2, Liang Chen1, Chunlong Wu1, Hao Li3
1
Zhejiang University, China
2
Georgia Institute of Technology, United States3
Zhejiang University, Zhengzhou University of Light Industry, China

The rational of incorporating material reuse considerations intomodular design has been well recognized. The key technicalchallenge, however, lies in that such material reuse modularity must
be consistent with and conform to the legacy structure of a technicalsystem. This paper is geared towards a total system approach andintroduces a game theoretic approach to joint optimization oftechnical system modularity and material reuse modularity. A bilevel
optimization model is put forward for modularity decisions whileleveraging material reuse. A case study of refrigerator modularity
analysis is reported.

The Impacts of Product Delay Cost on Rush Order
Decision for Job Shop Production Systems
Min Wang1, Cheng-Yu Huang2, Chun-Yuan Cheng11
Chaoyang University of Technology, Taiwan
2
WIN Semiconductors Corporation, Taiwan

In order to meet the customer's special requirement, manufacturers
tend to produce the variety of products nowadays. High-variety
low-volume productions plan becomes the major production stylefor job shop plants. Moreover, the production managers usuallyencounter rush order inserting problem. In this study, a simple
decision rule is provided to reduce the decision procedure for the
manager to solve the rush order problem.

Application of Undesirable Input-Output Two-Phase DEA
Model in Environmental Performance Audit
Rongbing Huang1
1
Nanjing Audit University, China

The widespread concern for environmental issues provide a rareopportunity for the development of environmental audit. In thispaper, Data Envelopment Analysis is applied in the environmental
performance audit of energy saving & emission reduction fund,considering the deficient in assessing efficiency in traditional DEA
model, an improved algorithm for DEA model is brought out, which
realizes the solution to DEA model for pollutant undesirable inputs
and outputs, and also overcomes the ‘relative efficiency’ defect in
DEA algorithm. This study is to offer an analysis of ideas foraddressing ‘evaluation difficult’ in environmental performance audit,
and help to promote the application of environmental performance
audit in energy saving & emission reduction to a high-end direction.

The Experiment and Numerical Simulation for
Hydro-mechanical Deep Drawing Process
Fan Xu1, Shengdun Zhao1, Jun Lin2
1
Xi'an Jiaotong University, China
2
NO.59 Institute Of China Ordnance Industry, China

A finite element simulation model for new-type Hydro-mechanicaldeep drawing process is build with the structure of the tooling. A
serious of numerical simulation, general deep drawing, ideal deep
drawing and Hydro-mechanical deep drawing process, for
95mm-diameters blank are done. Based on those numericalsimulation results, the influence of different constitutive models on
drawing force-drawing height curves is discussed. Especially basedon the simulation results of passive pressurized Hydro-mechanicaldeep drawing process, the process parameters, equivalent stress,
equivalent plastic strain, are described. And the influence ofcoefficient of friction and the different constitutive equation on
simulation is analyzed in addition.

Experimental Investigation of the Influence of the
Different Loading Conditions on the New Type Precision
Bar Blanking System
Bin Zhong1, Shengdun Zhao1, Renfeng Zhao1, Fan Xu1
1
Xi'an Jiaotong University, China

An experimental investigation was carried out to determine theinfluence of the different loading conditions on the blanked-billets
cross-section quality and blanking time with a new precision
blanking method. The loading rules are clearly explained as well as
the loading sequence. Meanwhile, a new cross-section quality
assessment method is proposed in accordance with thecharacteristics of the blanked-billets cross-section. Moreover, the tests
adopt the ideal control curves: the frequency-time control curve with9898

a linear decrement slope 1Hz/s and the radial displacement time
control curve with a linear increment slope 0.01mm/s. The
experimental results indicate that the quality of the cross-section is in
turn: two perpendicular-distributed hammers, four hammers, threehammers, single hammer, two symmetric-distributed hammers. The
blanking time from short to long is in turn: four hammers, threehammers, two perpendicular-distributed hammers, single hammer
and two symmetric-distributed hammers.

RCPSP with Partially Renewable Resources and Resource
Consumption during Setup Operations
Hironori Okubo1, Toshiyuki Miyamoto1, Kazuyuki Mori2, Shoichi
Kitamura2, Yoshio Izui2
1
Osaka University, Japan2
Mitsubishi Electric Corporation, Japan

In terms of energy consumption, the environment surrounding
manufacturing industries has been becoming considerably severe. In
this paper, we elaborate a new RCPSP formulation that can deal withrealistic energy constraints relating to energy consumption during
peak hours, contract demand, and energy consumption during setup
operations. This paper also proposes a heuristic mode restriction
algorithm for the reduction of computation time. Results of empiricalevaluations show that the proposed formulation and algorithm are
effectual and efficient, respectively.

Design and Actualization of IoT-based Intelligent
Logistics System
Zhiqiang Xu1, Jialiang He2, Zhiyong Chen3
1
Nanyang Technological University, Singapore
2
Northeast Petroleum University, China
3
Chengdu Wisdom Technology Co.Ltd, China

Modern logistics is represented by the supply chain management
and service of enterprise production and transportation, while the
combination of intelligent transportation technology and logistics
management will conduce to significant improvement of logistics
service. The objective of IoT-based Intelligent Logistics System iselaborated here. After introducing the intelligent model of such
logistic system, its logistic framework is constructed, and theactualization and application of a RFID-based logistics tracking andmanagement system targeting at manufacturing industry aredesigned. It highlights the key points for the systematic developmentof current logistics are put forward.

Keshtel Algorithm (KA); A New Optimization Algorithm
Inspired by Keshtels’ Feeding
Mostafa Hajiaghaei-Keshteli1, Majid Aminnayeri1
1
Amirkabir University of Technology, Iran

We study the unusual feeding behavior of Anas family (especially inAnas Clypeata, or similarly in Anas Crecca), in order to employ indesigning an optimization algorithm. These dabbling ducks arecalled Keshtel in the north of Iran and we use this term in naming thealgorithm. Keshtel Algorithm (KA) starts with an initial population
which is called Keshtels. The feasible space is the lake where theKeshtels are landed and search to find foods. The lucky Keshtels findbetter food in the lake and their neighbors move toward the lucky
Keshtels to find more and better foods in swirling way. Its simplicity
to use, moving just toward the better solution in the intensification
phase, and using the nearest neighbor to shovel the possible area, arethe novelty approaches of the KA. Application of the proposed
algorithm to some benchmark functions has proven its capability todeal with optimization problems.

Robust Remaining Useful Life Prediction for Li-ion
Batteries with a Naive Bayesian Classifier
Selina Ng1, Kwok Leung Tsui1
1
City University of Hong Kong, Hong Kong

This paper presents an empirical procedure for predicting robust
remaining useful life (RUL) using a naïve Bayesian classifier (NBC)with time as the response. The method is illustrated using publicdata for predicting Li-ion battery RUL to end-of-life (EOL). A battery
life prediction is obtained using the capacity values up to theprediction time. The root mean squared error (RMSE) is used for
performance evaluation. The predictions over time are comparedwith the actual time to EOL for each test battery and the RUL is
calculated at four time intervals. The prediction performance of the
NBC is compared with that of a support vector machine (SVM). The
case study shows that the NBC generates competitive prediction
performance, even though other factors contributing to Li-ion battery

degradation are concealed. This method is also applicable topredicting RUL to end-of-discharge (EOD) and the failure
prognostics for other components.

An Integrated Study in Determining the Optimal Policy
for Warranty, Pricing and Production of Repairable
Products under FRW
Chun-Wu Yeh1, Tean-Quay Lee2, Chih-Chiang Fang2
1
Kun Shan University, Taiwan
2
Shu-Te University, Taiwan

Warranty plays an important role in the market, not only
safeguarding the rights and interests of consumers but also
promoting the sales and reputation of manufacturers. Due to its
impact on the market, manufacturers should take their warranty
policies into consideration in developing an integrated marketingstrategy which can promote a product by simultaneously
considering pricing, production, and related post-sale services. In
this paper, we made an integrated study and proposed amathematical model and the corresponding solution algorithm tohelp manufacturers systematically decide warranty, pricing andproduction. The failure times for the product in our study weredrawn from a non-homogeneous Poisson process with a specificintensity function. A preventive maintenance program was also
included along with warranty. Finally, a hypothetical application casewas used to demonstrate the effectiveness of the proposed model.

Servicing Strategy and Preventive Maintenance for
Products Sold with One-Dimensional Warranties

Mustofa Makmoen1, Andi Cakravastia1, Bermawi Iskandar1, Dradjad
Irianto1
1
Bandung Institute of Technology, Indonesia

A manufacturer sells its product with a longer warranty period inorder to increase the product competitiveness. Offering a productwith a longer warranty period increases the warranty cost to the
manufacturer. For a repairable product, an appropriate servicing
strategy can reduce the warranty cost significantly. Many servicing
strategies involving replacement or imperfect repair have beenstudied in the literature. In this paper, we study a servicing strategy
which considers preventive maintenance and imperfect repair toreduce the warranty cost.

An Acceleration Method for the Permutation Flow Shop
Problem Minimizing Total Flow Time
Xingye Dong1, Ping Chen2, Houkuan Huang3, Maciek Nowak4
1
Beijing Jiaotong University, China, Loyola University, United States
2
NanKai University, China
3
Beijing Jiaotong University, China
4
Loyola University, United States

Many metaheuristics have been developed to solve the permutation
flow shop scheduling problem with minimized total flow time.
Quite a few of these have a local search algorithm embedded that
often consumes most of the computational time. In this paper, amethod is proposed to accelerate the computation of the local search.
The accelera-tion method is based on the concept of critical path. By
using the method, it is not necessary to compute the full newschedule generated by moving a job from its current position toanother when it satisfies certain conditions. Experimental results onbenchmark problems show that the acceleration method is quite
effective, especially for instances with a small number of machines
and a large number of jobs.

Quay Crane Sequencing Considering Productivity,
Interference and Yard Congestion Constraints
Effrosyni Theodorou1, Ali Diabat1, Davor Svetinovic1
1
Masdar Institute of Science and Technology, United Arab Emirates

The present paper considers the problem of optimizing thesequencing of quay cranes, which are used at sea port container
terminals for the loading and unloading of containers on vessels. The
problem formulation takes into consideration realistic circumstances,such as different productivity rates of quay cranes, crane interference,
when more than one crane is handling a vessel, clearance constraints,
to ensure that a minimum distance between adjacent quay cranes ismaintained, as well as yard congestion constraints, to ensure thatyard storage areas are not overly accessed. It is formulated as amixed-integer programming model (MIP) and small instances of the
problem are solved using GAMS.

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A Multi-Objective Model in the Green Supply Chain
Network Design

Farzad Niakan1, Armand Baboli 2, Reza Tavakkoli-Moghaddam3, Valerie
Botta-Genoulaz2, Jean-Pierre Campagne2
1
University of Tehran, Iran, INSA-Lyon, DISP Laboratory, France
2
INSA-Lyon, DISP Laboratory, France
3
University of Tehran, IranThis study considers a green supply chain design (GrSC) withenvironmental concerns. The aims of the problem are to minimize
the total transportation cost and the environment impact, such as
CO2 emission. The multi-objective mathematical model is developed
for the given problem that captures the trade-off between our
objectives. The strategic decisions considered in the model define
which warehouses should be selected as a distribution center andwhat numbers of the vehicles are required to move products amongsuppliers, distribution center and warehouses.

Development of an EOQ Model for Single Source &Destination, Deteriorating Products Incorporating Price &Freight Discount under Fuzzy Environment
Kanika Gandhi1, P.C. Jha1, Yogender Singh1
1
University of Delhi, India

Market globalization and technological penetration increase
competition, which encourages independent firms to collaborate insupply chains (SC) to gain mutual benefits. A joint proficiency withsynchronization capabilities of the coordination mode is required toassimilate information system and to deal with distribution learning.
This development offers more selling opportunities to the retailer ofdeteriorating products, but also poses new challenges inprocurement and distribution SC. Uncertain demand is one of thechallenges, while deriving the solution of an economic order quantity(EOQ) inventory model. The current study proposes a fuzzy
optimization model to obtain an EOQ while coordinating holding,
procurement & transportation of deteriorating products with fuzzy
demand, fuzzy holding and total cost. A real life case study isillustrated to validate the model.

Optimal Duration and Control of Promotional Campaign
for Durable Technology Product
Sugandha Aggarwal1, Anshu Gupta1, Yogender Singh1, P.C. Jha1
1
University of Delhi, India

A product can be perceived as a living entity which is brought to life
by means of communication done through promotional campaigns.
In this paper we develop a mathematical model to determine theoptimal duration of promotional campaign carried for promoting
new products, maximizing the profit. The developed model makes
use of widely used innovation diffusion models to measure theadoption among the product potential segment. The model is solved
as an unconstrained optimization. Further a control problem isformulated for case, when the firm wants to capture a higher
proportion of potential population within the optimal time frame.
We determine the additional amount of promotional resources
required to accelerate the promotion and attain the desired sales inthe stipulated time. A numerical illustration is shown for the model
application.

An Integrated Model for Quay Crane Assignment andQuay Crane Scheduling Problems
Yi-Min Fu1, Ali Diabat1, I-Tsung Tsai1
1
Masdar Institute of Science and Technology, United Arab Emirates

The Quay Crane Assignment Problem (QCAP) deals with thenumber of QCs assigned to vessels. The Quay Crane Scheduling
Problem (QCSP) consists of scheduling tasks on cranes that areassigned to a vessel. This paper proposes a new approach for
integrated QCAP and QCSP. Based on the known berth schedule, themodel is able to decide the QC schedule. To be more realistic, themodel takes into account QC travel time between bays. Safetymargins between QCs and yard congestion are also considered. The
problem is formulated as a mixed integer problem (MIP). A small
size of instances is then solved using GAMS, followed by a numerical
study.

Optimization of the Billet Cutting Operation in the
Aluminum Industry: a Case Study
Nadjib Brahimi1, Abrar Khalaf2, Hebah Al-Hammadi3
1
University of Sharjah, United Arab Emirates
2
Dubai aluminium, United Arab Emirates
3
Dubai Cable Company (DUCAB), United Arab Emirates

This paper presents an Operations Research case study in analuminum production company. The problem under considerationconsists of planning the production of billets obtained by cutting
long aluminum logs produced in the cast house of the company. The

objective is to minimize the cost of recycling the scrap resulting fromthe casting and cutting operations. The problem is a special case of
the stock cutting problem. Using integer linear programming
modeling (ILP), the problem is solved for very large instances.
Analysis of the performance of the mathematical model was madethrough different scenarios and many data sets. The paper shows areal application of OR in industry and presents the first phase of a
research project on this problem.

Multi-stage Parallel-machine Job Shop Scheduling with
Due Windows
Rong-Hwa Huang1, Chang-Lin Yang1
1
Fu Jen Catholic University, Taiwan

Job shop is a popular manufacturing environment and is extensively
discussed in the literature. Most of the literature focuses on one
machine setup at each shop, a configuration that does not occur inreal world situations for purposes of workload balancing andmakespan shortening. This study thus attempts to minimize total
earliness and tardiness costs of a multi-stage parallel-machine job
shop scheduling problem with due windows. This study solves thisproblem using ant colony optimization (ACO). Simulation data
testing results show that ACO obtains similar solutions to integer
programming when applied to small scale problems, and robust,effective and time-efficient solutions when applied to large scale
problems.

A Revised Model for the Static Berth Allocation Problem
with Berth Restrictions on Vessel Assignment
Ahmed Simrin1, Shaikha Al Zaabi1, Ali Diabat1
1
Masdar Institute of Science and Technology, United Arab Emirates

Different approaches for berth allocation exist in literature. Some ofthem consider static berth allocation, while other approaches
consider dynamic berth allocation. Moreover, approaches differ inthe layout used for the quay; discrete, continuous or hybrid. In thispaper we propose a new revised model for the Static Berth Allocation
Problem with Discrete Berths. Our new model is initially made as a
non-linear integer program, but it is then transferred to an integer
program. We implemented the model in GAMS and applied different
scenarios and then we showed our results and figures.

Evaluation of C4ISR System Effectiveness based on
Markov Logic Networks

Ruotong Liao1, Yanjun Liu1, Zhong Liu1, Qian Meng1, Xunhui Luo1
1
National University of Defense Technology, China

In this paper, the ability predicates are set up for the system’sfunctional unit, and influence rules are built for dependent
relationship in the system. With the mathematical relationshipbetween ability indexes and weights of predicates, the factors withcertain capability, uncertain performance, certain relationships, anduncertain influence in complex system are integrated together. Basedon Markov Logic Networks (MLNs) framework, the effectiveness offunctional units, subsystems and system are evaluated fromfunctional units’ layer, subsystems’ layer to the top layer of systems’layer. The evaluation combined the evaluation of static entity’seffectiveness and the evaluation reasoning under influence rules. At
the end of paper, the evaluation model is examined by experiments
and the results indicated some signification of the model.

Evaluation of Project’s Alternatives Based on a Multi
Criteria Decision Approach

Mohammadhosein Mokhtarani1, Hamed Shakouri G1, H Soleimani1
1
University of Tehran, IranThis paper suggests a new approach in order to evaluate alternativesof a project under consideration of quantitative risk analysis. Basedon net present value, this paper analyses all alternatives and helps
decision makers to assess through the calculation of their evaluation
indicators. Under consideration of uncertainty and risk, prediction ofproject value’s parameters is defined by Two-pieces normal
distribution. Modifying an efficient algorithm to make a relation
between project parameters. Decision maker’s risk preference is alsostudied in this paper based on the cumulative probability
distribution.

Aircraft Trip DOC Parameters: A Function of Stage Length,
Seat Capacity and Design Range
Yu Wang1, Hong Sun1, Peiwen Zhang1
1
Civil Aviation Flight University of China, China

In order to directly and quantitatively reflect the intrinsic
relationship between aircraft direct operating costs (DOC) and seatcapacity and design range, a new DOC calculating model for civil
airplanes is presented based on seat capacity, design range and flight
length. Firstly, NASA 97 method on 20 specific aircraft types over any

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100

mix of flight lengths is used for generating aircraft DOC samples,
which is presented by National Aeronautics and Space
Administration of US in 1997. Secondly, the functional form between
DOC and flight lengths is determined by the generated samples
above, and then the model’s coefficient estimations are regressed out.
Thirdly, this calculating model’s function is presented by analyzingeach regression coefficient’s variation linked to seat capacity anddesign range. Fourthly, the ordinary least square (OLS) method isused for estimating the regression function’s coefficients. Finally, thepaper verifies the feasibility of proposed model.

Stock Characteristics and Transaction Cost in Japanese
Stock Market
Junji Mawaribuchi1, Koichi Miyazaki2
1
Mitsubishi UFJ Trust Investment Technology Institute Co., Ltd., Japan
2
The University of Electro-Communications, Japan

In this research, we first examine how closely the transaction costestimated by the Hasbrouck model is able to capture the bid-ask
spread representing the actual transaction cost in the Japanese stock
market. Second, we also discuss how the stock characteristics such as
the small cap stock effect (the return of the small-cap stock is higher
than that of the others) and the value stock effect (the return of thelarge book-to-market-value stock is larger than the others) influence
the level of the transaction cost. Our result indicates that the smaller
the market-cap, the larger the bid-ask spread and the larger the
book-to-market value, the larger the bid-ask spread and also theformer is more salient than the latter. Regarding the estimatedtransaction cost, the relation with the market-cap is similar to that of
the bid-ask spread, whereas that of the estimated transaction cost
and the book-to-market-value is not clear.

A Bibliometric Description and Content Analysis of
Mega-project Characteristics
Xiaofeng Peng1, Wen Che1, Yongyi Shou1
1
Zhejiang University, China

With the rapid development of project management practice,mega-project management has become a hot research topic in thefield of project management. At present, researchers hold different
understandings of the characteristics of mega-projects, thus it is oftheoretical significance to study this issue. By collecting the academic
papers relevant to mega-projects published from 1998 to 2011 in the
Web of Science, we made a bibliometric description of the retrieval
results and summarized the status quo of mega-project management.
The content analysis method was employed in this mega-projectcharacteristics study. Using a category system, we found four
significant factors including time constraint, stakeholders, impact ofexternal environment, and risk.

Empirical Study on the Relationships Between Leadershipand Technology Entrepreneurial Performance
Cuixia Wang1, Jianmei Miao2, Weiwei Ye1, Xu Yi1
1
Zhejiang University, China
2
Hangzhou Normal University, China

Regional economies are highly dependent upon entrepreneurial
success, but the success rate for entrepreneurs is low. Based onreviewing the leadership theories, this article highlighted leadershipkey indexes for technology entrepreneurial leadership, analyzed therelationships between technology entrepreneurial leadership andperformance, finally found that at this period inventing and relating
functions of entrepreneurial leadership played important roles for
performance, but visioning and analyzing functions are in lack ofattentions. This conclusion pointed out an optimizing orientation for
better entrepreneurial performance.

Study and Application on Aided Innovation Design
Method Based on Semantic Analysis and TRIZ theory
Zixu Chen1, Lin Gong1, Yan Song1, Guoxin Wang1
1
Beijing Institute of Technology, China

For the situation that complexity of the design method, high demandof knowledge for the designers in the conceptual design process, andwhich is difficult to realized, this paper presents the solving processof innovative problems based on the TRIZ theory. Ontology andknowledge database is constructed based on TRIZ. The
application-oriented knowledge database is constructed， and thedescription of innovative problems are associated with knowledge.
The innovative design method is developed for designers to achieve
the relevant knowledge. And the aided innovation system isdeveloped based on semantic analysis technology, which can

automatically recognize the description of the problem. The
feasibility and effectiveness of the innovative design method and the
aided innovation system is verified through the case of innovative
design of the coupling diaphragm component.

The Exploration of Transform Leadership andOrganizational Performance --- Two Mediators’ Model
Chi-Chuan Wu1, Fang Chia Hsieh1, Chien-Wei Ho1
1
Tatung University, Taiwan

High-tech industry is a knowledge-intensive industry in Taiwan, so
the methods to transfer information and experience to knowledge
become more important. Using knowledge to develop innovationand performance also relate to the survival of organizations.
However, everyone knows the importance of knowledge andinnovation, but plenty of organizations couldn’t exploit knowledge
to create innovation. This study conducted an empirical researchtargeted the high-tech industry and explores the relationship ofleadership, knowledge sharing, organizational innovation, andorganization performance. This study collect data then used SEM toverify hypotheses, and the number of valid questionnaires is 186.
This study find that transform leadership would positively affectknowledge sharing, organizational innovation, and organization
performance. Also knowledge sharing would positively affectorganizationalinnovationand organization
performance.
Knowledge sharing as a mediator, transform leadership would affectorganizational innovation; however, it wouldn’t affect organization
performance.

Corporate Citizenship Taking on Social Welfare: Concept
Area and Competitive Advantage
Xueying Tian1
1
Suzhou University of Science and Technology, China

Great expectations are being placed on corporations to act withincreasing social responsibility,
which is adding a new dimension to the role of management and thevision of companies. Meanwhile, society is looking more closely at
the impact of business on the public. Thus, the notion of thecorporate citizenship is a significant transition in corporate
consciousness as organizations look beyond their own definition andexperience to see the broader issues. After that we recognize five
major areas of social welfare which corporations take part in. Thenwe establish a model that depicts the relationship between social
welfare and competitive advantage, explaining it on the basis oftheory analysis. Future research on corporate citizenship would be
strengthened in competitive advantages by empirical analysis.

The Establishment of Model for Measuring Interpretation
Satisfaction: The Role of Service Quality and Perceived
Interpretation Value
Li-Hui Chang1, Cheng-Shih Lin1, Tsen-I Kuo1
1
National Quemoy University, Taiwan

This paper aims to perform causal analysis of the interpretation
satisfaction of non-profit organization in Kinmen. A quantitative
survey was carried out in order to evaluate the relationship of service
quality, perceived interpretation value, satisfaction, and loyalty. It isfound that the model fit index is good, for this the battlefieldmuseums in Kinmen need to make its service in line with service
expectation and more valuable. By adopting the proposed strategies
the tourism sector can increase its customer satisfaction and loyalty.

Socially Responsible Service Operations Management Trends and Challenges
Hosang Jung1, Seungbae Sim2
1
Sangmyung University, South Korea
2
Yonsei University, South Korea

In this paper, we first proposed the framework of socially responsible
service operations management (SRSOM), and then investigated thevarious related literature on SRSOM using the proposed framework.
In line with the current societal trend which emphasizes on thestrengthening of the social safety net and the welfare of the people,
the SRSOM issues will become more and more important in most of
the public and private organizations soon. Although there are hugeamounts of interest in socially responsible management and service
operations management respectively, there is a lack of trials on
combining two different research areas. Thus, we summarize theexisting research trials on SRSOM, and suggest future research
directions.

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A Rapid Optical System for Surface Roughness
Measurement of Hard Films
Chil-Chyuan Kuo1, Y.T Siao1
1
Ming Chi University of Technology, Taiwan

Zirconium carbon nitride (ZrCN) hard films own lower friction
coefficient, high hardness, higher wear and corrosion resistance. A
low-cost optical inspection system for rapid surface roughness
measurements of ZrCN hard films is developed in this study. The
savings in modulation time of photodetector for a new measurement
angle is up to 60%. The incident angle of 20° is found to be a goodcandidate for predicting the surface roughness of ZrCN hard films.
Surface roughness of ZrCN hard films can be determined rapidly
from the average value of the reflected direct current voltage
recorded by the optical system developed. The maximum
measurement error rate of the optical measurement systemdeveloped is less than 12.37%.

Simulation Study on Quality Risk of Quality
Organizational Structure Based on Agent-based Model
Chunhui Yang1, Tao Hu1, Zhaohui Luo1, Lei Yang1
1
Naval University of Engineering, China

Quality risk control is an important part of quality management. The
quality risk control of manufacturing chain differs from anenterprise’s quality risk control. Moreover, different quality
organizational structures achieve different effects of risk control. The
quality management structural model is established based on theprocess of quality formation and the process of informationtransmission in the manufacturing chain and from the approach of
information distortion. On this basis, the effect of quality risk controlof three different quality management structures is analyzed, while
the simulation analysis on the sensitivity of relevant parameters is
carried out, in order to further point out the direction and path forstrengthening risk control.

Quality Monitor in Multi-operation Machining Processes
based on Wavelet Filtering
Bing Chen1, Pei Wang1, Dinghua Zhang1, Kai Liu1
1
Northwestern Polytechnical University, China

The method of quality monitor based on wavelet filtering was
proposed to solve the problems of quality control in multi-operation
manufacturing processes, whose measurement data contained noise
information. The multi-operation machining process quality control
model based on the Stream of Variation (SoV) technology was built,
which considered the error propagation. Based on this, the method of
discrete wavelet transformation was adopted to smooth data and to
reduce noise, and then control charts were built by the method ofT-square control chart to monitor processes. The average run length(ARL) was adopted to verify the performance of the proposed quality
control method. A sample application was developed to illustrate thefeasibility and validity of the proposed quality monitor method.

The Joint Impact of Process Ownership and Continuous
Process Improvement on Financial Performance andCustomer Satisfaction
Doris Weitlaner1, Markus Kohlbacher1, Andreas Kamagaew2
1
CAMPUS 02 University of Applied Sciences, Austria
2
Fraunhofer Institute for Material Flow and Logistics, Germany

There is a remarkable lack of empirical studies investigating theimportance of process ownership and continuous process
improvement, two dimensions of business process orientation. This
study addresses this issue and examines the joint effect of these twoconcepts on organizational performance. Based on a literature review
possible questionnaire items for process ownership, continuous
process improvement, financial performance, and customer
satisfaction are identified. Data from 840 Austrian manufacturing
and service companies are gathered and analyzed. The present
empirical results show that firms applying continuous process
improvement methods and having process owners in place gain thehighest financial performance in relation to the industry average andthe highest customer satisfaction compared to competitors.

102

102

AUTHOR INDEXAABD RAHMAN, Md Nizam p.78
ABDEL-HALIM, Alyaa p.43
ABDUL JABBAR, Abdullah p.72
ABDULLAH, Rohana p.78
ABE, Yusuke p.73
ABED, Seraj p.72
ABEDZADEH, Mostafa p.96
ABELHA, Antonio p.59, 80
ADDOUCHE, Sid-Ali p.96
ADEBANJO, Dotun p.88
AGARWAL, Renu p.86
AGGARWAL, Sugandha p.100
AGHDASI, Mohamad p.79
AI, Lei p.55
AKBARI JOKAR, M.R. p.77
AKELLA, Prasanna p.96
AKIYAMA, Masanori p.95
AKYILDIZ, Burcu p.84
AL KATTAN, Ibrahim p.87
AL ZAABI, Shaikha p.100
ALARCON-GARCIA, Maria Jose
p.54
AL-ASHAAB, Ahmed p.55
ALDANONDO, Michel p. 79, 91
AL-HAMMADI, Hebah p.100
ALMEIDA, Antonio p.51
AL-ME'RAJ, Ismail p.81
ALOS-SIMO, Lirios p.54
ALSYOUF, Imad p.37
AMINNAYERI, Majid p.99
AMIRI, Amirhossein p.44
AMRINA, Elita p.53
AN, Jin p.78
AN, Su p.46
ANG, Alvin p.64
ANJAMROOZ, Taha p.87
APPA IYER, Sivakumar p.56
AREZES, Pedro p. 61, 94
ARICA, Emrah p.81
ARINO, Kazuma p.66
ARNONKIJPANICH, Banchar
p.59
ARYASRI, Ramachandra p.53
ASADI, Yasaman p.79
ASAN, Umut p.35
ASGARI, Ali p.44
ASHTIANI, Behzad p.58
ASIH RUMANTI, Augustina p.54
ASIM, Muhammad p.52
ASSADIAN, Farah p.38
AZEVEDO, Americo p. 51, 93

B
BABOLI , Armand p.72, 77, 100
BAHLI, Bouchaib p.61
BAI, Xubo p.94
BANTHAO, Jarupong p.89
BARABADI, Abbas p.90
BARABADY, Javad p.90
BARBOSA, Fernando p.87
BARNSTEDT, Christian p.89
BARRY, Marie-Louise p.58
BASAPPAJI, K. M. p.63
BASHIRI, Mahdi p. 43, 89
BASSETTO, Samuel p.44
BATCHULUUN, Amrita p.85
BAUMANN, Philipp p.47
BAUMGARTEN, Sven p.77
BAYDOUN, Georges p.58
BEHNCKE, Florian G. H. p.46
BEIRAMI, Pari p.38
BELER, Cedrick p.61
BENSLIMANE, Younes p. 61, 98
BERENGUER, Christophe p.57
BEVILACQUA, Maurizio p.64
BHATTACHARJEE, Kalyan
Kumar p.74
BHULLAR, Amrik Singh p.73
BI, Jing p.83
BIE, Zhaohong p.97
BLASZCZYK, Pawel p.65
BLASZCZYK, Tomasz p.65
BOON-ITT, Sakun p.54
BORDBAR, Behzad p.79
BOTTA-GENOULAZ, Valerie

p.100
BOUJELBENE, Younes p.96
BOVIE, Klas Magnus p.51
BRAHIMI, Nadjib p.100
BRANDINU, Gianluca p.58
BROTAN, Vegard p.51
BURGGRAF, Peter p.46
BUTTARD, Chalermpon p.50

CC, Raghavendra Rao p.59
CAI, Tian Xiang p.97
CAKRAVASTIA, Andi p.99
CALDAS, Alvaro p.51
CAMPAGNE, Jean-Pierre p.100
CANTOR, Victor John p.85
CAO, Lihua p.86
CAPIZZI, Giovanna p.45
CAUCHICK MIGUEL, Paulo A.
p.94
CESA BIANCHI, Edoardo p.58
CEVIK ONAR, Sezi p.84
CHAHARSOOGHI, S. Kamal p.96
CHAI, Xudong p.83
CHAIJARUWANICH, Anirut p.37
CHAKRABORTY, Shantanu p.96
CHAN, E.S. p.62
CHAN, Edmund p.39
CHAN, Hau Ling p.41
CHAN, Kai-Ying p.44
CHAN, Te-Yi p.88
CHAN, Weng Keong p.71
CHAN, Y. Y. p.65
CHAN, Yam Hon p.83
CHANCHAICHUJIT, Janya p.77
CHANG, C.N. p.63
CHANG, Chi-Cheng p.87, 89
CHANG, Feifan p.52
CHANG, Jingren p.80
CHANG, Li-Hui p.101
CHANG, Wen-Jung p. 55, 86
CHANG, Yue p.71
CHAROENCHAI, Nivit p.70
CHE, Wen p.101
CHEN, Bing p.102
CHEN, Changyu p.68, 94
CHEN, Chunhua p.65
CHEN, Dar-Zen p.54
CHEN, E.D. p.63
CHEN, H. J. p.35
CHEN, H.W. p.69
CHEN, Hai-Zan p.49
CHEN, James K. C. p.85
CHEN, Jhih-Han p.83
CHEN, Jian p.48
CHEN, Jian-Ciang p.83
CHEN, Jian-zhong p.61
CHEN, Joseph p.62
CHEN, Junying p.84
CHEN, Lan p.65
CHEN, Liang p.98
CHEN, Liangpeng p.90
CHEN, Mu-Chen p.85
CHEN, Ping p.99
CHEN, Qili p.71
CHEN, Shihe p.52
CHEN, Shin-Guang p.39
CHEN, Si p.54
CHEN, Songlin p.85
CHEN, Yen-ting p.45
CHEN, Ying p.57
CHEN, Yi-Wen p.63
CHEN, Yongqiang p.92
CHEN, Yu-Ho p.71
CHEN, Yung-Hsin p.36
CHEN, Zhixiang p.82
CHEN, Zhiyong p.99
CHEN, Zixu p.87, 101
CHENG, Alison Lai Fong p.74
CHENG, Chun-Yuan p.98
CHENG, F.T. p.69
CHENG, Fei p.95
CHENG, Hsin-Jung p.80
CHENG, Yu p.46
CHENG, Zhao Lin p.62
CHEW, Ek Peng p.41
CHI, K. L. p.88

CHIA, S.Y. p.62
CHIA, Tung-Chung p.71
CHIBA, Eishi p.73
CHIEN, Cheng-Chung p.63
CHIU , D.H. p.63
CHIU, Kuei-Chen p.63
CHO, Jangwon p.82
CHO, Yongrae p.55
CHOI, Hae-Jin p.37
CHOI, Myoung Jin p.79
CHOI, Tsan-Ming p.41
CHONG, Chin Soon p.83
CHOODOUNG, Sakkarin p.50
CHOU, Kai-Shin p.47
CHOY, K.L. p.60
CHU, Andrej p. 60, 80
CHUA, Haniel p.49
CHUA, Tay Jin p.97
CHUNG, Chun-Jen p.77
CHUNG, Shu-Hsing p.47
CHUTIMA, Parames p.50
CIARAPICA, Filippo p.64
CINAR, Yahya p.81
COCCO, Gianluca p.92
COLOMBO, Maurizio p.80
COOLEN, Kris p.39
CORTES ALDANA, Felix Antonio
p.74
COUDERT, Thierry p.79
CRUZ, Dennis p.49
CUEVAS, Josue p.48
CZUMANSKI, Thomas p.35

D
DAI, Tingting p.71
DAI, Wei p.78
DAMAYANTI, Dida p.51
DANG, Tin Thanh p.79
DANIILIDIS, Harrys p.81
DANILUK, Damian p.80
DANTAN, Jean-Yves p.97
DAS, Sujit p.69
DAVIDRAJUH, Reggie p.82
DELANOTE, Stephanie p.38
DELOUX, Estelle p.57
DENG, S.F. p.36
DESHMUKH, S.G. p.76
DHOKIA, Vimal p.81
DIABAT, Ali p.99, 100
DJALOEIS, Raymond p.83
DOMAGK, Martin p.89
DOMBROWSKI, Uwe p.89
DONG, Li p.67
DONG, Xichen p.91
DONG, Xingye p.99
DU, Jing p.40
DU, Rongjun p.94
DU, Z.J p.69
DU PREEZ, Niek p.86
DUARTE, Julio p.80
DUCKWITZ, Soenke p.83
DUI, Hongyan p.64
DWERI, Fikri p.76

E
EDGAR, Dan p.88
EKSI, Emre p.84
ELFERING, Melissa p.88
ELMHAMEDI, Abderrahman p.96
ELTAWIL, Amr p.43
ENGELHARDT, Philipp p.47
ENKAWA, Takao p.42, 78
EZE, Uchenna Cyril p. 45, 50

F
FAN, Chin-Yuan p. 88, 93
FAN, Dongmei p.55
FAN, Ming-shu p.46, 80
FAN, Yujia p.77
FAN, Zhigang p.55
FANG, Chao p.92
FANG, Chih-Chiang p.99
FANG, Nai-Chuan p.63

FANG, Yanjun p.52
FANG, Yuan p.52
FARIA, Jose p.93
FASTH, Tobias p.36
FAZLI, Muhammed Hafidz p.51
FEBLES-ACOSTA, Jaime p.40
FELDHUSEN, Joerg p.83
FENG, Li-Ying p.70
FENG, Zhuo p.92
FERREIRA, Filipe p.93
FOROOZANFAR, Mona p.70
FORS, Nashat p.72
FOULADIRAD, Mitra p.57
FRANK, Bjoern p.78
FRANK, Moti p.74
FREITAS, Diana p.61
FRERK, Jurgens p.78
FRIEDEWALD, Axel p.49
FU, Hsin-Pin p.69
FU, Yi-Min p.100
FUJII, Nobuzumi p.44
FUJITA, K p.95
FUNG, Richard Y. K. p. 42, 75
FURUKAWA, Takao p.66

G
GAMBHIR, Victor p.74
GAN, Chiu Liang p.41
GANDHI, Kanika p.100
GAO, Bin p.95
GAO , De-peng p.95
GAO, Pengyi p.72
GAO, Ying p.92
GAUTAM, Nitendra p.72
GENESTE, Laurent p. 61, 79
GEUM, Youngjung p.53
GHADAMI, Shohreh p.79
GHANNADPOUR, Seyed Farid
p.43
GHEITH, Mohamed p.43
GHODRATI, Behzad p.90
GHODRATNAMA, Ali p.72
GHORBEL, Nouha p.96
GICQUEL, Celine p.76
GOH, Gerald Guan Gan p. 45, 50
GOH, Mark p.42
GOLABCHI, Mahmood p.70
GOLMAKANI, Hamid Reza p.90
GOMEZ-GRAS, Jose Maria p.54
GONCALVES, Pedro p.59
GONG, Dah-Chuan p.48
GONG, Lin p.87, 101
GONG, Shuyan p.36
GONZALEZ-DE LA ROSA,
Manuel p.40
GORANE, Shrikant p.41
GOTO, Hiroyuki p.73
GOUTAM, Siddharth p.49
GOWDA, Manjunath p.63
GOYAL, Sanjeev p.74
GRALL, Antoine p.57
GRILO, Antonio p.37
GRINDHEIM, Sindre p.81
GROVER, Sandeep p.45, 74
GU, Jia-Yuan p.60
GU, Kai-kai p.46, 80
GU, Xinjian p.67
GUNAWARDHANA,
Nayanapriya p.42
GUO, Bo p.64
GUO, Huairui p.78
GUO, Jiang p.46, 80
GUO, Jing p.68
GUO, Jingwei p.68
GUO, Rui p.93
GUO, Xiuli p.38
GUO, Xiuping p.38
GUOXIN, Wang p.54
GUPTA, A.D. p.76
GUPTA, Amit Kumar p.49
GUPTA, Anshu p.100

H
HABIB, Md. Mamun p.76
HAI, Yizhen p.95

103

103

HAIT, Alain p.58
HAJIAGHAEI-KESHTELI,
Mostafa p.99
HAMEED, Zafar p.90
HAN, Chengwei p.83
HAN, Jialin p. 87, 97
HAN, Ruizhu p.43
HAN, S.Y. p.37
HAN, Shoudong p.67
HAN, Zhengsheng p.64
HANDANI, Dhimas p.90
HANNOLA, Lea p.95
HAO, Song p.52
HAO, Yuqiuge p.93
HARRAZ, Nermine p.43
HASAN, Faisal p.51
HASHIMOTO, Hideki p.40
HAUGEN, Stein p.56, 61
HAZRA, Jishnu p.75
HE, Jialiang p.99
HELO, Petri p.91, 93
HEMATYAR, Shahrokh p.96
HERBAS TORRICO, Boris p.78
HERTY, Micheal p. 39, 95
HIDAYAT, Trifenaus Prabu p.54
HIDAYAT, Yosi Agustina p.77
HILDAHL, Jessica p.88
HINSCH, Malte p.83
HO, Cheng-Ter p.93
HO, Chien-Wei p.101
HO, G.T.S. p.60
HO, Kin Seng p.71
HO, Tsung-Yen p.71
HOFMANN, Pascal p.36
HOMDEE, S. p.59
HONG, Ru-yan p.67
HONGLI, Fan p.52
HOSSEINI, S.Mohsen p.40
HOSSEINMARDI, Amir Masoud
p.58
HOU, Hsing-yu p.67
HOU, Zhengliang p.38
HSIAO, Yuan-Du p.80
HSIEH, Fang Chia p.101
HSIEH, Fu-Man p.53
HSIUNG, Chu Erh p.93
HSIUNG, Liang-Yuan p.80
HSU, C.T. p.63
HSU, Chia-Lin p.85
HU, Chun p.91
HU, Guowei p.97
HU, Kae Kuen p.67
HU, Rong p.39
HU, Tao p.102
HU, Wenkai p.52
HU, Wuhua p.73
HU, Xiaoming p.40
HU, Yannan p.40
HU, Yaoguang p. 87, 97
HUA, Bowen p.97
HUANG, Boray p.90
HUANG, Cheng-Yu p.98
HUANG, Ching-Jen p.48
HUANG, Chin-Yu p.57
HUANG, Chunying p.35
HUANG, George p.48
HUANG, Houkuan p.99
HUANG, Huiyu p.65
HUANG, Mu-Hsuan p.54
HUANG, Rongbing p.98
HUANG, Rong-Hwa p.100
HUANG, Shixiang p.91
HUANG, Sih-Ting p.63
HUANG, Y. T. p.61
HUANG, Yi p.50
HUANG, Yin-Chi p.98
HUI, Chi Leung p.41
HUNG, Kuo-Chen p.80, 98
HUSNIAH, Hennie p.56
HUYNH, Canh Xuan p.79
HVATTUM, Lars Magnus p.39
HVOLBY, Hans Henrik p.81

I
IAMRATANAKUL, Supachart
p.76
IMAHORI, Shinji p.39, 40
INUIGUCHI, Masahiro p.73
IQBAL, Rahat p.91

IRIANTO, Dradjad p.99
ISHIHARA, Aya p.93
ISHIHARA, Kunihiko p.64
ISKANDAR, Bermawi p.56, 99
ISLAM, Sifa p.77
ITO, Takayuki p.48
ITTIPHALIN, Mongkon p.59
IZUI, Yoshio p.99

J
JACOBS, Danver p.58
JAFARIAN, Mehdi p.89
JAIN, P.K p.51
JAIN, Vipul p.75
JAMES, Anne p.91
JAMILI, Amin p.43
JANSAME, Uamporn p.50
JAYATILAKA, Harsha p.46
JESCHKE, Sabina p.88
JHA, P.C. p.100
JI, Yangjian p. 67, 98
JIA, Junxiu p.96
JIANG, H.M. p.36
JIANG, Ping p. 64, 68
JIANG, R. p.67
JIANG, Renyan p.56
JIANG, Shu-ping p.61
JIANG, Tongmin p.57
JIANG, Yiping p.39
JIANG, Zhibin p.97
JIAO, Roger p. 57, 82, 98
JIMOH, Adisa p.69, 72
JIN, Hui p.56, 95
JIN, Jun p.84
JIN, Mingzhou p.40
JING, Li p.74
JINGHUA, Wang p.74
JITTAMAI, Phongchai p.89
JOHANSEN, Inger Lise p.90
JONSSON, Jonina p.35
JOOSS, Claudia p.88
JU, Sheau-Pyng p.93
JUAN, Yeh-Chun p.80
JUDKRUE, Akechai p.64
JULES, Guiovanni p.37, 51
JUN, Zhou p.74
JUNG, Hosang p.101
JV, Xiaofeng p.71

K
K.N.V.D, Sarath p.59
KACHITVICHYANUKUL,
Voratas p.76
KADAIFCI, Cigdem p. 35, 84
KAGEYAMA, Takao p.73
KAISER, Katharina p.58
KALININA, Maria p.38
KAMAGAEW, Andreas p.102
KAMPKER, Achim p.46
KANG, Fei p.92
KANG, Jia-Rong p.47
KANG, Rui p.57
KANT, R. p.41
KAO, Chih-Lan p.85
KAO, Hsiu-Hsueh p.63
KAPOOR, Rahul p. 55, 66
KAR, Samarjit p.69
KARUNO, Yoshiyuki p.73
KARVONEN, Matti p. 55, 66
KASEMSET, Chompoonoot p.38
KASSI, Tuomo p. 55, 66, 85, 95
KAYUKAWA, Keiko p.93
KCHAOU BOUJELBEN, Mouna
p.76
KEELEY, Alan p.44
KERAMATPOUR, M. p.44
KHALAF, Abrar p.100
KHALED, Abdullah p.40
KHAMJAN, Wirekha p.38
KHAN, Sharfuddin Ahmed p.76
KHOLOPANE, Pulek p.69, 72
KHOURY, Elias p.57
KIATTIPHATTHANANUKUL, W
p.63
KIM, Byoung Uk p.82
KIM, Gyutai p.46

KIM, Haejoong p.82
KIM, Jieun p.53
KIM, Seung Yong p.88
KIM, Song-Kyoo p.53
KIM, Wonjoon p.55
KITAMURA, Shoichi p.99
KLEIN, Thorsten p.47
KLOBUCHER, Ann p.88
KO, Yao-Tsung p.65
KOBAYASHI, Takashi p.73
KOGA, Hiroki p.73
KOH, Niak Wu p.62
KOHLBACHER, Markus p.102
KOLK, Alar p.54
KONG, Xianda p.70
KORAL KORDOVA, Sigal p.74
KRASS, Dmitry p.75
KRAUSE, Willie p.86
KUAN, Chung-Huei p.54
KUANG, Fen p.78
KUMAR, Arun p.82
KUMAR, Dinesh p.51
KUMAR, Rajesh p.96
KUMAR, S. p.65
KUNDU, Anirban p.75
KUO, Chil-Chyuan p.102
KUO, Hui Shan p.67
KUO, Ping-Hong p.65
KUO, Tsen-I p.101
KUPPILI, Murali Krishna p.53
KWONG, C.K. p.36
KWUN, Young Chel p.63

L
LACKES, Richard p.81
LAI, Guo-Liang p.65
LAI, Hung Chih p.67
LAI, Ming-Fong p.93
LAI, Mu-Hui p.80
LAM, C.Y. p.67
LAOSIRIHONGTHONG, Tritos
p.88
LAOSIRITAWORN, Wimalin S.
p.82
LARSSON, Aron p. 36, 38, 43, 69
LAW, Kris, M Y p.60
LEE, Carman Ka Man p.96
LEE, Chang Boon p.91
LEE, Chia-Hua p.98
LEE, Chun Ching p.60
LEE, Hyeonjeong p.53
LEE, Kar Hang Carmen p.60
LEE, King-Lien p.66
LEE, Loo Hay p.41
LEE, Pei-Han p.48
LEE, Sanghoon p.55
LEE, Tean-Quay p.99
LEE, Ying-Yi p.85
LEE, Yue-Shi p.60
LEI, Ningrong p.36
LEIDA, Marcello p.80
LEISTEN, Ingo p.88
LEONG, Stella p.91
LEONG, Weng Hou p.71
LEUS, Roel p.38, 39
LEVELING, Jens p.80
LI, Bo Hu p.83
LI, Bomiao p.55
LI, Chu-Shiu p.85
LI, Debiao p.82
LI, F.H. p.63
LI, Fuwen p.43
LI, Guowei p.97
LI, H. p.62
LI, Haijiang p.69
LI, Hao p. 67, 98
LI, Hong-yu p.97
LI, Huaxing p.74
LI, Jingwen p. 87, 97
LI, Jingxiang p.64
LI, Junfeng p.76
LI, Mingyang p.82
LI, Nan p.37, 51
LI, Pengcheng p.61
LI, Richard p.85
LI, Wan-Ling p.51
LI, Xin p. 52, 65, 75
LI, Ying p.92
LI, Yulin p.62

LI, Zuocheng p.39
LIAN, Zhaotong p. 66, 75, 86
LIANG, Yan p.62
LIANG, Yi-Hui p.35
LIANG, Yun-Chia p.48
LIANHONG, Wang p.52
LIAO, Junfeng p.65, 91
LIAO, Li-Man p.48
LIAO, Ruotong p.100
LIAW, Yi-Ching p.88
LICAO, Dai p.61
LIEN, Ching-Yu p.35
LIM, Dae-Eun p.82
LIM, Geok Ching p.45
LIN, A p.69
LIN, Bin p.92
LIN, Cheng-Shih p.101
LIN, Chen-ju p.45
LIN, Ching-Lin p.80
LIN, Chun-Cheng p.47
LIN, Fu-Man p.83
LIN, Gan p.64
LIN, Gary C. p.48
LIN, Hung-Tso p.98
LIN, Jia-Hua p.71
LIN, Jun p.98
LIN, Kuo-Ping p.80, 98
LIN, Leichuan p.97
LIN, Min-Der p.61
LIN, Shieu-Hong p.40
LIN, Tyrone T. p.35, 41, 65
LIN, Weidong p.62
LIN, Y.C. p.53
LIN, Y.L p.69
LIN, Zhi p.61
LINDEMANN, Udo p. 46, 58, 81
LIPUTRA, David Try p.77
LIU, Bor-Shong p.71
LIU, Chang p.49
LIU, Jian p.82
LIU, Kai p.102
LIU, Minxia p.59, 70
LIU, Wan-Yu p.47
LIU, Xunqi p.91
LIU, Yajie p.64
LIU, Yanjun p.100
LIU, Yan-ling p.67
LIU, Yiliu p.95
LIU, Yitao p.57
LIU, Zhong p.100
LO, Huey-Hsi p.86
LOCATELLI, Giorgio p. 58, 92
LODDING, Hermann p.35
LÖDDING, Hermann p.49
LOKE, D. p.65
LONG, Ziwu p.72
LU, JianGang p.56
LU, Jiping p.52, 87
LU, Qiang p. 40, 64, 96
LU, Y.S. p.41
LU, Yanhong p.61
LU, Yong-Zai p.52
LU, Yu-Ming p.80
LUA, Eng Hock p.83
LUO, Jianying p.65
LUO, Xinggang p.36
LUO, Xunhui p.100
LUO, Yuanyuan p.98
LUO, Zhaohui p.102
LV, Youlong p.60

M
MA, B. p.42, 65
MA, Ji-Wei p.63
MA, Ming p.72
MACHADO, Jose p.59, 80
MAHADEVAN, B. p.75
MAIKALA, Rammohan p.71
MAJEED, Basim p. 79, 80
MAKINDE, Oluwole Daniel p.66,
67
MAKMOEN, Mustofa p.99
MAKSIMOVIC, Maksim p.55
MALADZHI, Wilson p.66, 67
MALIHI, Ehsan p.79
MANCINI, Mauro p. 58, 92
MAO, Jianfeng p.73
MAPOKGOLE, Johannes p.49
MARKESET, Tore p.90

104

104

MARTINS, Patricia p.37
MARYATI, Mohd Yusof p.66
MASAROTTO, Guido p.45
MATHIRAJAN, Muthu p.52
MATSUI, Masayuki p.70
MAWARIBUCHI, Junji p.101
MAZZUTO, Giovanni p.64
MBOHWA, Charles p. 40, 77, 78
MCGORRY, Raymond p.71
MD SIRAT, Rozlina p.71
MEDIN, J p.84
MEDINA-BORJA, Alexandra p.84
MEESAPAWONG, Pawadee p.69
MELECIO-VINALES, Joymariel
p.84
MENG, Qian p.100
MEURS, Florian p.89
MIAO, Jianmei p.67, 101
MIAO, Xiaocui p.83
MING, Zhao p.61
MINOUX, Michel p.76
MIRANDA, Eduardo p.92
MIRANDA, Luis Miguel p.59
MIRDAMADI, Shirin p.97
MIRZAPOUR AL-E-HASHEM,
S.M.J. p.77
MIYAHARA, Hirona p.56
MIYAMOTO, Toshiyuki p.99
MIYAZAKI, Koichi p.101
MIZUTANI, Eiji p.40
MOHAMAD, Ismail p.44
MOHAMED SHAHAROUN ,Awaluddin p.71
MOHAMMADI, Hmid p.49
MOHD ROHANI, Jafri p.44
MOHD YUSOF, Sha'ri p. 44, 53
MOKHTARANI,Mohammadhosein p.100
MOON, Seung Ki p.36
MORADINASAB, Hossein p.43
MORI, Kazuyuki p.99
MOSLEH, Ali p.56
MOTTE, Adeline p.44
MUELLER, Egon p.45, 89
MUHARNI, Yusraini p.60
MUKHERJEE, Indrajit p.78
MURAMBIWA, Tapiwa p.58
MURATA, Tomohiro p.51
MUTINGI, Michael p. 40, 77

N
NA, Gao p.85
NAGAI, Akihiko p.48
NAJAFI TROJANI, Esmaeil p.58
NAKKIEW, Wasawat p.37
NEE, Carsten p.46
NEKURI, Naveen p.59
NEL, Andre L p.46
NEPAL, Bimal p.72
NEVES, Jose p.59
NEWMAN, Stephen p.81
NG, Kam-Choi p. 45, 50
NG, Sau Fun p.41
NG, Selina p.99
NG, Szu Hui p.83
NGUYEN, Dinh Son p.44
NIAKAN, Farzad p.100
NIAKI, S.T.A. p.44
NIEH, Hwa-Ming p.80
NIEMI, Esko p.50
NISHI, Tatsushi p.73
NIU, Pengying p.78
NOLL, Torsten p.81
NOWAK, Maciek p.99
NUREIZE, Arbaiy p.98

O
ODETAYO, Michael p.91
OEPKE, Hendrik p.58
OJANEN, Ville p.85, 95
OKOH, Peter p.61
OKUBO, Hironori p.99
OKUWADA, Kumi p.66
OLANREWAJU, Oludolapo p.69,
72
OLSSON, Leif p. 38, 43

OMAR, Mohamed K. p. 38, 45, 78
ONAR, Sezi Cevik p.84
ONGKUNARUK, Porntipa p.83
ONU, Stephen p.92
OR, Calvin p.70
OUALI, Anis p.60
OU-YANG, C. p.80
OU-YANG, Chao p.60

P
PAI, Ping-Feng p.80
PAIDAR, Fatemeh p.58
PAN, Jason Chao-Hsien p.62
PANESAR SINGH, Sukvir p.95
PARK, Hyun-Min p.82
PARK, Jin Han p.63
PARK, Yongtae p.53
PARVAN, Manuela Iulia p.58
PASARI, Rohan p.96
PATEL, Ankit p.61
PATHIK, Bishwajit Banik p.76
PATHUMNAKUL, Supachai p.38,
59
PATIL, Sachin p.41
PENG, Kuan-Li p.57
PENG, Xiaofeng p.101
PENG, Yanmin p.71
PEREIRA, Rui p.80
PERES, François p.61
PHAAL, Robert p.84
PHILIPP, Tobias p.47
PIEWTHONGNGAM,
Kullapapruk p.38, 59
PIPLANI, Rajesh p.73
POLITZE, Daniel p.51
POLLACK, Julien p.58
PONTES, Gabriel p.59
POON, Kin p.60
PORTELA, Carlos Filipe p.59
POSTACCHINI, Leonardo p.64
POURABDOLLAHIAN, Golboo
p.52
POURESMAEELI, Morteza p.90
POWELL, Daryl p. 36, 47
PRETORIUS, Jan-Harm p.92
PRETORIUS, Leon p.92
PROMBANPONG, Suksan p.63
PRUSSING, Patrick p.77
PUJARA, Akshay p.41
PUNNAKITIKASHEM, Prattana
p.86

Q
QI, Chao p.56
QI, Guoning p.67
QIAN, Bin p.39
QIN, Wei p.60
QIN, Xiaojie p.52
QIN, Yiyan p.73
QU, Ting p.48
QU, Xingda p.70
QUADDUS, Mohammed p.77
QUINTAS, Cesar p.59

R
RABBANI, Ali Husnain p.52
RABIA, Sherif p.72
RAHARJO, Hendry p.80
RAHIMI, Maryam p.56
RAM, Bala p.79
RAMDASS, Kem p.45, 87
RAMIREZ, Francis p.49
RAMLI, Rohayati p.66
RASSAMEETHES, Bordin p.76
RATNAYAKE, R.M. Chandima p.
37, 46, 95
RAUSAND, Marvin p. 56, 90, 95
RAZA, Jawad p.95
REINHART, Gunther p.47
REKIK, Yacine p.77
REN, Na p.68
RENNA p.47
REZAEI-MALEK, Mohammad
p.89

REZGUI, Yacine p.69
RICHERT, Anja p.88
RIECHEL, Christoph p.89
RIEDEL, Ralph p.45, 89
ROBERT, David p.84
ROCHA, Antanio p.55
RODRIGUES, Rui p.59
ROE, Michael p.42
ROMERO, Fernando p.55, 87
RONG, Yuan p.49
ROUCOULES, Lionel p.97
ROULET-DUBONNET, Olivier
p.81
ROY, Arup p.76
ROY, Sheila p.78
RUNGI, Mait p.54
RUZZON, Valentino p.92
RYU, Taebeum p.64

S
SAADAT, Mozafar p.37, 51
SAAVEDRA-ROSAS, Jose p.77
SAEED OSMAN, Mojahid p.79
SAFAIAN, Mohammad Reza p.43
SAHRAEIAN, Rashed p.49
SAITOH, Toshiki p.73
SAKAI, Shohei p.39
SAKATA, Ichiro p. 44, 89, 93
SALAZAR, Maria p.80
SALVAGNINI, Tommaso p.58
SAMPAIO, Paulo p.94
SANTOS, Manuel p.59, 80
SARKER, Bhaba p. 69, 82
SARSHAR, Sizarta p.89
SASAKI, Hajime p.93
SATTAYARAKSA, Tharnpas p.54
SAWADA, Kiyoshi p.73
SAZVAR, Zeinab p.77
SCHIER, Arkadius p.80
SCHLICK, Christopher M. p.83
SCHUTTE, Corne p.86
SEGISMUNDO, Andre p.94
SEKIYA, Eiji p.73
SELEN, Willem p.86
SELIM, Shokri Z. p.81
SENEVIRATNE, A.M.N.D.B. p.37
SEO, Jong Jin p.63
SERDARASAN, Seyda p.42
SETAK, Mostafa p.96
SHA, D.Y. p.65
SHAHADA, Tarak p.37
SHAHRUL AZMAN, Mohd. Noah
p.66
SHAKOURI G, Hamed p.100
SHAMSUZZOHA, AHM p.93
SHANG, Tianjiao p. 51, 52
SHANKAR, Ravi p.76
SHAO, T.H. p.63
SHARMA, Bhupendra Prakash
p.88
SHARMA, R R K p.49
SHEHAB, Essam p.55
SHEN, Minmin p.92
SHERAFATI , Mahtab p.43
SHI, Hai-bo p.49
SHI, Lei p.46
SHI, Yongjiang p. 51, 52
SHIBATA, Takashi p.72
SHIH, Po-Hsun p.62
SHIM, Sung p.82
SHIRAKAWA, Nobuyuki p.66
SHLAKHTER, Oleksandr p.75
SHOU, Yongyi p.92, 101
SHUDONG, Huang p.61
SHUNINA, Tatiana p.85
SI, Chunlin p.66
SIADAT, Ali p.97
SIAO, Y.T p.102
SICILIA-RODRIGUEZ, Joaquin
p.40
SIENGTHAI, Sununta p.76
SIEPERMANN, Markus p.81
SILVA, Paulo p.59
SIM, Hock Kheng p.45
SIM, Seungbae p.101
SIMRIN, Ahmed p.100
SINGH, M. D. p.88
SINGH, Satyendra p.96
SINGH, Yogender p.100

SIOW, Gabriel p.39
SIROVETNUKUL, Ronnachai p.50
SMUTKUPT, Uttapol p.50
SO, Stuart p.62
SOLEIMANI, H p.100
SONG, Dongping p.42
SONG, Haiyan p.75
SONG, Yan p.101
SONGSANAN, A p.63
SONGZHENG, Zhao p.85
SOYER, Ayberk p.84
STEENHUIS, Harm-Jan p.88
STRANDHAGEN, Jan Ola p.47, 81
SU, H.C. p.65
SU, Yi- Fen p.62
SUKHOTU, Vatcharapol p.76
SUKIN, Assariya p.63
SULOWSKI, Robert p.55
SUMBWANYAMBE, Mbuyu p.46
SUN, Hong p.100
SUN, Hongyi p.62
SUN, Houfang p.96
SUN, Hui p.61
SUN, Jing p.70, 71
SUN, Pen-Choug p.91
SUN, Shudong p.48, 64
SUN, YouXian p.56
SUPPIAH, Yasothei p.38
SUPRAYOGI, Suprayogi p.77
SURESH, H. N. p.63
SUTIVONG, Daricha p.46
SUWANNABOOL, Tanasak p.46
SUZUKI, Sadami p.42
SVETINOVIC, Davor p.99
SY, Kyle p.49
SYED HASSAN, Syed Abdul
Hamid p.71
SZIDAROVSZKY, Ferenc p.78

T
TAGHIZADEH, Elham p.96
TAI, K. p.67
TAISCH, Marco p.52
TAKII, Kenta p.97
TALLA NOBIBON, Fabrice p.38
TAMURA, Yoshinobu p.56
TAN, Puay Siew p.62
TAN, Runhua p.68
TANAKA, Shunji p.97
TANG, Jie p.95
TANG, Loon Ching p.90
TAO, Da p.70
TAO, Wenbing p.67
TASHIRO, Hisato p. 44, 89, 93
TAVAKKOLI-MOGHADDAM,
Reza p.72, 89, 100
TAY, Christina p. 55, 86
TAYLOR, Paul p.79
TEH, Pei-Lee p.88
TEIXEIRA DOMINGUES, Jose
Pedro p.94
TEKIN, Baris p.80
TEMPELMEIER, Horst p.42
TENG, Ingrid p.36
TENG, Suyan p.39
TERHORST, M. p.42
THANAKIJKASEM, Purit p.37
THEODOROU, Effrosyni p.99
THOMAS, Tengen p.49
TIAN, Xueying p.101
TIE, Ming p.83
TIRADO, Gregorio p.39
TOHA, Isa Setiasyah p.51
TOIVONEN, Sirra p.95
TOKOLA, Henri p.50
TONG, Sun p.71
TONGMEE, Pimjai p.86
TOPCU, Ilker p.35
TRAUTMANN, Norbert p.47, 58
TSAI, Bor Min p.35
TSAI, Huey-shing p.67
TSAI, I-Tsung p.100
TSAI, Kang-Ting p.61
TSAI, Meng-Chen p.87, 89
TSAI, Meng-Shan p.87
TSAI, P.-J. p.53
TSAI, Pei-Fang p.83
TSAI, Shuo-Chang p.36
TSAI, T.H. p.69

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105

TSENG, C. C. p.63
TSENG, Hsien-Yu p.71
TSENG, Tsueng-Yao p.63
TSUI, Kwok Leung p. 83, 95, 99

U
UCHIDA, Makoto p.90
ULLMANN, Georg p.77
USHIKUBO, Masayoshi p.44

V
VADLAMANI, Ravi p.59
VAN WAVEREN, Corro p.44
VAN WYNGAARD, C. Jurie p.92
VAREILLES, Elise p. 79, 91
VASQUEZ BERNAL, Oscar
Alejandro p.74
VATN, Jorn p.90
VERDU, Antonio p.54
VICKMAN, Sara p.69
VILLENEUVE, Eric p.61
VIMALARANI, M p.52
VOSSEN, Rena p.88

W
WADHWA, N.C. p.74
WADHWA, Rhythm p.74
WAGNER, S.M. p.42
WAN, J.K. p.63
WANDT, Robert p.49
WANG, Chih-Hsuan p.94
WANG, Cuixia p.101
WANG, Fei p.68
WANG, Feng Yu p. 73, 83, 97
WANG, Guoxin p.87, 101
WANG, Haiyan p.71
WANG, Hongjiang p.68
WANG, Hongwei p.56
WANG, Jian-Cai p.43
WANG, Junqiang p.48
WANG, Kangzhou p.97
WANG, Li-tao p.70
WANG, Min p.98
WANG, Pei p.102
WANG, Qiong p.91
WANG, T. p.67
WANG, Tongyi p.97
WANG, Xia p.36
WANG, Xiaoming p.35
WANG, Xinping p.95
WANG, Xinzhe p.77
WANG, Xiuqin p.95
WANG, Yao Yu p.43
WANG, Yu p.100
WANG, Yunmei p.66
WANNAGOAT, Jaruwan p.37
WATADA, Junzo p.98
WATTANUTCHARIYA, Wassanai
p.37
WEBER, Philip p.79
WEI, Angang p.68
WEI, Guohong p.91
WEI, Wenchao p.39
WEITLANER, Doris p.102
WEN, Liqun p.64
WEN, Xiaoli p.65
WEST, Martin p.77
WICKEL, Martina p.46
WINTACHAI, Panya p.70
WIRATMADJA, Iwan Inrawan
p.54
WONG, Seng Fat p.71
WONG, Tsun Tat p.71
WONGSRIWORAPHON,
Apirachai p.59
WORAPRADYA, Kiatkajohn p.37
WU, Bin p.97
WU, Bingqing p.82
WU, Bo p.65
WU, C.S. p.63
WU, Chi-Chuan p.101
WU, Chunlong p.98
WU, Guangmou p.36
WU, Hsin-Yen p.35

WU, Jinbiao p.86
WU, Ming-Hung p.62
WU, Shan-Yau p.97
WU, Tain-Fung p.85
WU, Teresa p.96
WU, Xiaobo p. 50, 93, 94
WU, Yung-Tang p.63
WUANG, Min-Sun p.66
WUDHIKARN, Ratapol p.35

X
XIA, Fan p.66
XIA, Hongyun p.39
XIA, Weili p.36
XIANG, Dan p.74
XIAO, JIng Hua p.62
XIAO, Xun p.92
XIE, Kang p.62
XIE, Limei p.57
XIE, Min p.90
XIE, Shane p.49, 55
XING, Yunyan p.64
XINGUANG, Zhang p.74
XIONG, Lei p.93
XU, Bo p.62
XU, Fan p.98
XU, Hanwei p.92
XU, Jenny p.49
XU, Laura Xiao Xia p. 73, 83
XU, Mengjuan p.40
XU, Pai p.61
XU, Suxiu p.40
XU, Wei p.66, 42
XU, Xiao-Lu p.80
XU, Xun p.49, 55
XU, ZhengGuo p.56
XU, Zhiqiang p.99
XUE, Qing p.59, 70

Y
YADAV, Om Prakash p.72
YAGIURA, Mutsunori p.40
YAMADA, Shigeru p.56
YAMAMOTO, Hisashi p.70
YAN, Bingwen p.66, 67
YAN, Haiyan p.62
YAN, Hao-yun p.97
YAN, Wen Jing p.62
YAN, Yan p.54
YANG, Bibo p.55
YANG, Chang-Lin p.100
YANG, Chunhui p.102
YANG, Haw-Ching p.69
YANG, Huasheng p.50
YANG, Jaekyung p.79
YANG, Kuei-Fei p.66
YANG, Lei p.102
YANG, Tianjian p.77
YANG, Wen p.75
YANG, Zijiang p. 61, 98
YAO, Jinyong p.57
YAO, Li-li p.49
YAO, Ming-Jong p.63
YAO, Xifan p.66
YAU, Hon Keung p.74
YE, Weiwei p.101
YEH, Chun-Wu p.99
YEH, Din-Horng p.63
YEN, Show-Jane p.60
YI, Huizhi p.69
YI, Shu p.95
YI, Shuping p.62, 76
YI, Xu p.101
YIJING, Zhao p.54
YIN, Qiqi p.59, 70, 97
YIN, Qi-qi p.70
YIP, Man Hang p.84
YONG, Pan p.52
YONG QIANG, Tan p.62
YOON, Chui Young p.88
YOON, San Wong p.82
YOSHIDA, Norio p.64
YOUSEFI, Saied p.70
YU, Aiqun p.63
YU, Wooyeon p.79
YU, Yao Cheng p.67

YU, Yichun p.53
YUAN, Haitao p.83
YUAN, Jun p.83
YUAN, Sun p.55
YUAN, Z. p.96

Z
ZAKUAN, Norhayati p.71
ZAREI, Ahmadreza p.90
ZAREI, Alireza p.90
ZEBARDAST, Mahnoosh p.52
ZEHUI, Yang p.74
ZENG, Ruishe p.93
ZHANG, Allan Nengsheng p.42,
62, 65ZHANG, Cai Wen p.62
ZHANG, Chaoqun p.50
ZHANG, Dinghua p.102
ZHANG, Jie p.60
ZHANG, Kan p.59, 70
ZHANG, Ke-fei p.46, 80
ZHANG, Kui p.72
ZHANG, Kun p.57
ZHANG, Linda p.47, 91
ZHANG, Nan p.68
ZHANG, Peiwen p.100
ZHANG, Rongxue p.68
ZHANG, Shuibo p.92
ZHANG, Wenqiang p.68
ZHANG, Xiaojin p.85
ZHANG, Xiaoling p.96
ZHANG, Xinyan p.75
ZHANG, Yangbing p.92
ZHANG, Yingfeng p.48
ZHANG, Yufei p.72
ZHANG, Yun p.56
ZHANG, Zhicong p.65
ZHAO, Gang p.68, 94
ZHAO, Lindu p. 39, 40, 83, 95
ZHAO, Renfeng p.98
ZHAO, Shengdun p. 64, 98
ZHAO, Tingting p.68
ZHAO, Wang p.54
ZHAO, Wenbin p.62
ZHAO, Xiao-gang p.95
ZHAO, Yong p.67
ZHAO, Yu p.78
ZHENG, Jie p.95
ZHENG, Li p.50
ZHONG, Bin p.98
ZHONG, Lili p.71
ZHONG, Linlin p.65
ZHOU, Feng p.57
ZHOU, Mingjian p.64
ZHOU, Wenhui p.75
ZHOU, Xuanhao p.52
ZHOU, Yi p.95
ZHU, Hailing p.46
ZHU, Jian-cheng p.95
ZHU, Jingjing p.36
ZHU, Jun p.49
ZHU, Qin p.42
ZHU, Wenjin p.57
ZHU, Xiaohong p.39
ZHU, Xiaoyan p.92
ZHU, Xingyu p.92
ZHU, Zicheng p.81
ZHUANG, Kai-Xun p.48
ZOLFAGHARI, S. p.44
ZONG, Mingdi p.96

106

106

CONFERENCESERVICES& TOURS107

CONFERENCE INFORMATION / SERVICES
Secretariat – Meeting Matters International Pte Ltd
E-mail: info@ieem.org
Cheng-Hoon KHOO		
Conference Manager			Tel: (65) 9819 9462
Amy LIM			Operations				Tel: (65) 8181 3413
Sarah KEE			
Technical Program Coordinator		Tel: (65) 9125 9191
Ria WENDARI		
Logistics				Tel: (65) 9125 9393
Emergency Services
Emergency services (police, fire, ambulance)
Police Hotline				Hong Kong Tourism Board Visitor Hotline
Telephone Directory Enquiries			International Services				: 999: (852) 2527 7177
: (852) 2508 1234
: 1081: 10010

Transport Services
Airport Express
The MTR’s high-speed Airport Express takes approximately 24 minutes to reach Hong Kong Island. Airport
Express passengers are able to take a free shuttle bus from Kowloon and Hong Kong stations to major hotels.
Both these stations provide free in-town check-in services for major airlines. Please contact your airline/hotel
for further information.
Taxi
Red taxies are (Urban) available throughout most of Hong Kong, except for Tung Chung Road on Lantau
Island and the entire south side of Lantau Island. Green taxies operate only on New Territories and Blue Taxies
operate only on Lantau Island. All taxis can travel to and from Hong Kong International Airport as well as
Hong Kong Disneyland.
Call hotlines for Red taxies (Urban)
Kowloon Taxi Owners Association: (852) 2760 0411
Wai Fat Taxi Owners Association Ltd: (852) 2861 1008
Happy Taxi Operator’s Association Ltd : (852) 2728 8282
Pak Kai Taxi Owners Association Ltd: (852) 2728 2281
ABBO Taxi Owners' Association Ltd: (852) 2383 0168
Road Co-op Lost & Found 24 Hours Free Hotline for Lost Property on Taxis Hotline (852) 1872 920
Bus
Bus routes cover almost all of Hong Kong. Kowloon Motor Bus, New World First Bus and Citybus operateroutes that cover Hong Kong Island, Kowloon and the New Territories. New Lantao Bus mainly operates on
Lantau Island and Long Win Bus provides services to north Lantau Island and the airport. Fares are based on
distance travelled and exact change is required if paying by cash. Octopus cards are accepted on all buses inHong Kong.

108

CONFERENCE TOURS
Taste of Hong Kong by Night
Monday, 10 Dec 2012 (5:30PM – 9:30PM)
USD76/SGD95/HKD530 per person
Price includes: English speaking guide, Peking Duck set dinner(Chinese tea included, other drinks on own expenses), one-way Star Ferry Ride,
one-way Open-Top bus ride.
This tour brings you away from the towering skyscrapers of Wanchai toexperience the chaos, colour and bright lights of the Kowloon Peninsula. Start
off with a scrumptious Peking Duck Dinner at the Peking Garden Restaurant.
Originally from the Imperial Courts of Beijing and renowned for its use of thebest ingredients, this is an absolute must-try.
Following dinner, we depart to the Former Kowloon-Canton Railway Clock Tower, a declared monument and a landmark from the Ageof Steam. Point to remember, don't stray too far from the Waterfront because at 8:00PM, magical display of lights and music unfolds
before your eyes. The Symphony of Lights, named the "World's Largest Permanent Light and Sound Show", plays out across Hong Kong'snightscape, and till this day, remains as one of Hong Kong's Must-Sees. Next, hop on to the Open-Top Double Decker Bus and soak inthe vibrancy and vitality of Hong Kong by Night. Alight at Temple Street Night Market, one of Hong Kong's biggest and arguably best
markets. Famous even amongst the locals, Temple Street boast an astonishing variety of goods, from clothes and electronics to every otherknick-knack imaginable. At the end of this tour, delegates may return to their hotels via MTR Yau Ma Tei Station and the MTR Jordan
Street Station, both conveniently located near Temple Street Night Market.
*Return expenses are not covered by the tour fee

Full-Day Hong Kong City TourThursday, 13 Dec 2012 (9:00AM - 4:30PM)
USD62 / SGD77 / HKD430 per person
Price includes: Coach transfers, English speaking guide, one-way Peak Tramride, 20-min Sampan ride at Aberdeen Fishing Village, Chinese Dim Sum lunch
at local restaurant.
Enjoy the scenic view as the Peak Tram climbs up 1,200 feet to The Peak. The
spectacular view of the surrounding city skyline, the world-famous Victoria
Harbour and Kowloon, towering skyscrapers and peaceful green hillsides willtake your breath away.

Next, we head down to Stanley Market, a popular open-air market, well-known for its bargains buys. Make sure to also visit the Murray
House, a 160 year old colonial building restored in 1998. From Stanley, we move on to the Aberdeen Fishing Village. Once an importantfishing port in the 19th century, Aberdeen remains as a traditional fishing village and is home to hundreds of fishermen. Hop on a Sampan
and gain a deeper insight on the lifestyle of the Hong Kong fishing folk as we ride through the village. No Hong Kong experience iscomplete without Chinese Dim Sum. One of the great local culinary traditions, Dim Sum literally means “touching your heart” in Chinese.
This is one meal you do not want to miss! After lunch, we make a trip down to the Man Mo Temple. Built in 1848, this temple is dedicatedto two of the most worshipped gods in ancient China, and is one of the oldest and most well-known temples in the territory. While we’rehere, pop over to the nearby Hollywood Road and Upper Lascar Row (also known as "Cat Street"). Filled with trinket and antique shops ofall sorts, this is the perfect place to pick up unique and eclectic souvenirs. This marks the end of the tour. Delegates may return to HKCEC
via coach transfer.

HK Ports Terminal TourThursday, 13 Dec 2012 (9:45AM – 11:30AM)
USD20 / SGD25 / HKD150 per person
Price includes: Coach transfer to HIT at 9:45AM, and return transfer to HKCEC
at 11:30AM.
Hong Kong International Terminals (HIT) is a member of Hutchison Port
Holdings Trust (HPHT), the world's first container port business trust listed in
Singapore. HIT is the largest container terminal operator in Hong Kong.
Situated in the Kwai Tsing container port area of Hong Kong, HIT operates twelve berths at Terminals 4, 6, 7 and 9 North and anothertwo through its joint venture with COSCO Pacific Limited at Terminal 8 East. HIT and COSCO-HIT handle over 60 per cent of Kwai
Tsing's container port traffic. HIT has continuously set industry benchmarks for productivity and efficiency. With modern management
techniques, state-of-the-art computer systems, and award winning IT applications, HIT is a pinnacle of industry excellence.

109

IN AND AROUND WAN CHAIGood Eats
What a trip to Hong Kong without a meal at a local Cha
Chaan Teng? Also known as Tea Restaurants, Cha Chaan
Tengs serve delicious yet affordable Hong Kong cuisineand Hong Kong-style Western Cuisine. Dine in style at theStarstreet Precinct, a neighbourhood in Wan Chai, comprisingof the Star Street, Moon Street, Sun Street, and Wing Fung
Street. This area used to be home to Hong Kong Electric’s firstpower plant but is now a fashionable dining neighbourhoodwith design-driven lifestyle stores.
Local Treasure Troves
Wan Chai Computer Centre on Henessay Road is chock fullof hardware, software, gadgets and accessories and is a mustvisit for all tech-lovers. You’ll find a number of excellent rattan
and furniture shops dotting the streets along King’s Road East.
The nearby Spring Garden Lane connects to local wet and drymarkets, offering a multicultural experience in the heart of Wan
Chai. Do also check out the Tai Yuen Street Market, a strip ofshops jam-packed with toys and novelties of all sorts.
Religious Diversity
Hong Kong’s temples are active places of worship and the
focal point of the city’s festivals. Many were built in ancient
times and have been carefully preserved as vestiges of Hong
Kong’s colourful history. The Huang Shing Temple and the Lin
Fa Temple were constructed in the 1800s and remain popularamongst locals. The Khalsa Diwan Sikh Temple, Hong Kong’s
first gurudwara (Sikh temple), survived the World War II andcontinues to provide religious, social, practical and cohesive
support to generations of Sikhs in Hong Kong. The Jamia
Mosque is a charming historical building built in the 1840s
and has strong cultural significance to Hong Kong’s Muslim
community.
Beyond Wan Chai
There are so much more to see and do outside Wan Chai.
Families will love Disneyland and Ocean Park Hong Kong.
The Avenue of Stars and the Tian Tan Buddha are must-go
destinations in Hong Kong. Enjoy panoramic views of Hong
Kong’s cityscape from the Victoria Harbour and the Peak.

110

T

he Division of Systems and Engineering Management (SEM) is part of the
School of Mechanical and Aerospace Engineering, which has 150 faculty
members, and is one of the largest engineering schools in the world: www.
ntu.edu.sg/mae.

Systems and Engineering Management includes topics such as Supply Chain andLogistics Management, Design and Operations of Manufacturing Systems, Human
Factor Engineering, Quality and Reliability Engineering, Project Management,
Design and Management of Service Systems, Mass Customization of Products andServices, etc.
In the SEM Division there are 19 faculty members in the following areas ofexpertise:
1. Systems Engineering and Operations Research
2. Design Studies
3. Human Factors Engineering
4. Quality and Reliability
Corresponding to these interest there are three Research Centres in: Human
Factors & Ergonomics, Supply Chain Management and Project Management andAdvancement.
M.SC. Programs
The Master of Science program provides graduate level education. It is conductedboth part-time (for people who work) and full-time. Applications for admission to
the program are invited once a year through announcements in the press prior tothe commencement of the program in August.
There are three M.SC. Programs:
1.
M.Sc. Logistics
2. M.SC. Systems and Project Management
3. M.Sc. Smart Product Design
Research Programs
Ph.D and M.Eng are research-oriented programs. Here the students will take several
courses, but most of the work is on research. The student will work together with asupervisor, who will help to define a research topic and guide the student.
Typically a student will take a M.Eng. degree and then continue to take a Ph.D.
However, applicants with an outstanding bachelor’s degree can be admitted
directly into the Ph.D. program.

www.ntu.edu.sg/mae/admin/divisions/sem/sem.asp

NOTESNOTESNOTES

Sponsors & Co-organizers

Secretariat