IEEM2011

The Ieee International Conference on

6 - 9 December 2011, Singapore

Industrial Engineering andEngineering Management

The Ieee International Conference on

Industrial Engineering and Engineering Management

www.IEEM.org

Sponsors and co-organizers

www.IEEM.org

SECRETARIATIEEM2011

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

Organized by:

Ieee Technology Management Council
Singapore Chapter

Ieee Singapore Section

2012
5 to 8 DECEMBER, HONG KONG
www.ieem.org

The IEEE International Conference on

Industrial Engineering andEngineering Management(Deadline for submission: 1 June 2012)

Contentsii
2

Welcome Message
Organizers & Committees

Session Information
4
Floor Plan
5
Conference Highlights
6
Keynote Presentations
9
Speaker Guides
10
Program Overview
11
Sessions Schedules
31

Abstracts

86

Author Index

Services
90
Useful Info
91
What to do and where to go in Singapore!

Conference Venue

Furama Riverfront Hotel, Singapore
405 Havelock Road,
Singapore 169633
Main Tel:(65) 6333 8898
Main Fax:(65) 6733 1588
Website:http://www.furama.com/riverfrontiWelcome
WelcomeMessage
BY THE CONFERENCE CHAIRS
OrganizersMessage& Committees
by Conference Chairs

Arnoud de Meyer
General Chair
Singapore Management University
Singapore

Min Xie

Organizing Chair
City University of Hong Kong, Hong Kong
and National University of Singapore, Singapore

Szu Hui Ng
Program Committee Chair
National University of Singapore
Singaporeii

Roger Jiao
Program Committee Chair
Georgia Institute of TechnologyUSAWelcome Message BY THE CONFERENCE CHAIRS

It is our great pleasure to welcome you to the 2011 IEEE International Conference on Industrial Engineering andEngineering Management. After having it in Hong Kong in 2009 and Macau in 2010, the IEEM conference isback in Singapore where it started.
As in the past years, we have received many submissions and each paper was sent to 3-4 reviewers. The rigorous
review process has helped to maintain a high standard for this conference We would like to thank the technicalprogram committee members and the author-reviewers for their help in the review process.
IEEM conference is truly an international event with about 50 countries/regions represented each time. We also
have three prominent keynote speakers and a meet-the-editors panel for participants to discuss publication andresearch issues.
The conference is grateful to all authors for your interests and contributions. The supports from Singapore
Management University, National University of Singapore and Nanyang Technological University are also greatly
appreciated.
Finally, we wish all the participants a fruitful conference. To those overseas, we hope that you enjoy your stay in
Singapore.
Arnoud de Meyer, General Chair, Singapore Management University
Min Xie, Organizing Committee Chair, City University of Hong Kong and National University of Singapore
Szu Hui Ng, Program Committee Chair, National University of Singapore
Roger Jiao, Program Committee Chair, Georgia Institute of Technology

Welcome Message
ORGANIZERS& COMMITTEES
by Conference Chairs
GENERAL CHAIR

Arnoud De Meyer,
Singapore Management University,
Singapore
ORGANIZING CHAIRMin Xie,
City University of Hong Kong,
Hong Kong
and National University of Singapore,
Singapore
PROGRAM CHAIRS

Roger Jiao,
Georgia Institute of Technology, USA
Szu Hui Ng,
National University of Singapore,
Singapore

Ana Paula Barroso,
UNIDEMI, FCT-UNL, Portugal
Arijit Bhattacharya,
Dublin City University, IrelandPaul Chang,
National Changhua University of Education,
TaiwanCheng-Wu Chen,
National Kaohsiung Marine University,
TaiwanHung-Yi Chen,
Chaoyang University of Technology, Taiwan
Mu-Chen Chen,
National Chiao Tung University, Taiwan
Shin-Guang Chen,
Tungnan University, Taiwan
Hui-Ping Cheng,
MingDao University, Taiwan

ORGANIZING COMMITTEE
Anil Varma (Finance),
Singapore Polytechnic, Singapore

Carman Lee (Logistics),
Nanyang Technology University, Singapore
Songlin Chen (Publicity),
Nanyang Technology University, Singapore

Chuang-Chun Chiou,
Dayeh University, Taiwan
Tsan-Ming Choi,
The Hong Kong Polytechnic University, Hong
Kong

Zhang Wu (Publication),
Nanyang Technology University, Singapore

Jui-Sheng Chou,
National Taiwan University of Science andTechnology, Taiwan

Kah Hin Chai (Local Arrangement),
National University of Singapore, Singapore

William Chung,City University of Hong Kong, Hong Kong

Members

Virgilio Cruz-Machado,
UNIDEMI, FCT-UNL, Portugal

Nan Chen,National University of Singapore, Singapore
Siong Lin Ho,
Ngee Ann Polytechnic, Singapore

Yves De Smet,
Université Libre de Bruxelles, Belgium

Qingpei Hu,
Chinese Academy of Science, China
Chi-Cheng Huang,
Aletheia University, Taiwan
Chin-Yu Huang,
National Tsing Hua University, Taiwan
Shinji Inoue,
Tottori University, Japan
Mingzhou Jin,
Mississippi State University, United States
Yuya Kajikawa,
The University of Tokyo, Japan
Chompoonoot Kasemset,
Chiang Mai University, Thailand
Song-Kyoo Kim,
Samsung Electronics Co., Ltd, South Korea
Chien-Liang Kuo,
Chinese Culture University, Taiwan
Chil-Chyuan Kuo,
Ming Chi University of Technology, Taiwan
C.K. Kwong,
The Hong Kong Polytechnic University,
China
Jun-Der Leu,
National Central University, Taiwan
Zhizhong Li,
Tsinghua University, China
Chen-Ju Lin,
Yuan Ze University, Taiwan
Chu-Ti Lin,
National Chiayi University, Taiwan

Zhaotong Lian,
University of Macau, Macau

Uchenna Cyril Eze,
Monash University, Sunway Campus,
Malaysia

Mei Qi,National University of Singapore, Singapore

Laurent Geneste,
Univ Toulouse ENIT-LGP, France

Mei-Chen Lo,
National United University, Taiwan

Hongyi Sun,
City University of Hong Kong, Hong Kong

Jiajun Gu,
Zhejiang Gongshang University, China

Huitian Lu,
South Dakota State University, United States

TECHNICAL PROGRAMCOMMITTEE

Rongxin Gu,
Tongji University, China

Virgínia Machado,
UNIDEMI, FCT-UNL, Portugal

Guillermo Gutierrez,
Instituto Tecnologico de Morelia, Mexico

Rammohan Maikala,
Liberty Mutual Research Institute for Safety,
United States

Michel Aldanondo,
Univ Toulouse Mines Albi, France
Luciana Alencar,
Federal University of Pernambuco, Brazil
Teresa Alvarez,
University of Valladolid, Spain
Michel Anzanello,
Federal University of Rio Grande do Sul,
Brazil2

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

William Ho,
Aston University, United Kingdom

Md. Mamun Habib,
American International UniversityBangladesh (AIUB), Bangladesh

Tyrone T. Lin,
National Dong Hwa University, Taiwan

Harekrishna Misra,
Institute of Rural Management Anand, India

Siana Halim,Petra Christian University, Indonesia

Lars Moench,
University of Hagen, Germany

Takashi Hasuike,
Osaka University, Japan

Zahra Mohaghegh,
University of Maryland, United States

ORGANIZERS & COMMITTEESAsadallah Najafi,
Islamic Azad University, Zanjan Branch, Iran

Raj Siriram,
Dimension Data MEA, South Africa

Mohamed k. Omar,
Notingham University Malaysia, Malaysia

Harm-Jan Steenhuis,
Eastern Washington University,
United States

Aditya Parida,Luleå University of Technology, Sweden,
SwedenYonggui Wang,
University of International Business andEconomics, China
Seng Fat Wong,
University of Macau, Macau

Pohsun Sung,
National Central University, Taiwan

Yongtao Xi,
Shanghai Maritime University, China

Taezoon Park,
Nanyang Technological University, Singapore

Syafiie Syafiie,
University Putra Malaysia, Malaysia

Jennifer Percival,
University of Ontario Institute of Technology,
CanadaRamayah T.,
Universiti Sains Malaysia, Malaysia

Yanqiu Xiao,
Zhengzhou University of Light Industry,
China

Alan Pilkington,
Royal Holloway, University of London,
United Kingdom
Kit Fai Pun,
University of the West Indies, Trinidad andTobagoJerzy Stefan Respondek,
Silesian University of Technology, Poland
Suk-Chul Rim,
Ajou University, South Korea
Mustafa Riza,
Eastern Mediterranean University, Turkey
Rashed Sahraeian,
Shahed University, IranTomoko Saiki,
Tokyo Institute of Technology, Japan
Ilias Santouridis,
TEI of Larissa, Greece
Kiyoshi Sawada,
University of Marketing and Distribution
Sciences, JapanAHM Shamsuzzoha,
University of Vaasa, Finland
Ali Siadat,
Arts et Metiers ParisTech, France

Pei-Lee Teh,
Monash University, Malaysia
Purit Thanakijkasem,
King Mongkut’s University of Technology
Thonburi, Thailand
Radha Ramanan Thiyagarajan,
National Institute of Technology Calicut, India
Norbert Trautmann,
University of Bern, Switzerland
Chih-Fong Tsai,National Central University, Taiwan
Ming-Lang Tseng,
Lung Hwa University of Science andTechnology, Taiwan
Yuan-Jye Tseng,Yuan Ze University, Taiwan
Enrico Vezzetti,
Politecnico di Torino, Italy
Junqiang Wang,
Northwestern Polytechnical University, China
Min Wang,
Chaoyang University of Technology, Taiwan
Shengyong Wang,
The University of Akron, United States

Farouk Yalaoui,
Utt, France
Richard Yam,
City University of Hong Kong, Hong Kong
Hsu-Hao Yang,
National Chinyi University of Technology,
TaiwanQz Yang,
Singapore Institute of Manufacturing
Technology, Singapore
Min Yao,
Zhejiang University, China
Hsiu-Ping Yueh,
National Taiwan University, Taiwan
Suhaiza Zailani,
Universiti Sains Malaysia, Malaysia
Cai Wen Zhang,
School of Business, Sun Yat-sen University,
China
Faping Zhang,
Beijing Institute of Technology, China
Linda Zhang,
IESEG School of Management, France
Xu Zhang,
Beijing Institute of Technology, China
Ahmed Zobaa,
Brunel University, United Kingdom

3

Welcome
CONFERENCEVENUE FLOOR PLAN
OrganizersMessage& Committees
by Conference Chairs

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CONFERENCE
OrganizersHIGHLIGHTS& Committees

Tuesday
12:00 - 18:30
06-Dec-11		

Delegate Arrival, Registration, Pre-conference Tour,Workshop and Welcome Reception

14:00-17:00
				Pre-conference Tour “Singapore Port Terminals”
Meet at Hotel Lobby,(Tour departs 14:00 sharp. Please meet at hotel lobby
Level 1and present ticket to board bus)		

15:00 –16:30
				

Workshop: “Technology Innovation Management: an
Editor’s Perspective” by: Prof. Jonathan D. Linton,
Editor-in-Chief of Technovation

Mercury III, Level 5

16:30-18:30

Welcome Reception (High Tea)

Mercury I & II, Level 5

07:30 - 08:50

Registration (Re-opens 10:30 and closes 17:00), Morning Coffee/Tea

Foyer - Level 3

09:00-10:30
09:10-09:50
				
09:50-10:30
				

Opening Remarks & Keynote Presentations
Keynote: “2011 - A Service Odyssey” by Dr Daniel Berg,Distinguished Research Professor of Engineering ,University of Miami, USA
Keynote: “Reliability Management in New Product Development”
by Prof DNP Murthy, Professor - School of Mechanical andMining Engineering, The University of Queensland, Australia

Venus I & II, Level 3

Coffee/Tea Break with Snacks

Foyer - Level 3

Wednesday
07-Dec-11

10:30 - 11:00

11:00 - 12:30
AM Concurrent Sessions
			

Foyer - Level 3

Venus I, II & III, Level 3
Jupiter I, II & III, Level 3

12:30 - 13:30
Lunch Buffet- *Kintamani - Level 3: If select “Muslim Meal” option Please present meal		The Square - Level 2: If select “non-Muslim Meal” option
tickets at gate				
13:30 - 15:00
PM Concurrent Sessions			
15:00-15:30

Coffee/Tea Break with Snacks

Venus I, II & III, Level 3
Jupiter I, II & III, Level 3
Foyer - Level 3

15:30 - 17:30
PM Concurrent Sessions
			

Venus I, II & III, Level 3
Jupiter I, II & III, Level 3

Thursday
08:00 - 08:50
08-Dec-11		

Registration (Re-opens 10:30 and closes 17:00), Morning
Coffee/Tea

Foyer - Level 3

09:00 - 10:30
09:00 - 09:40
		
		
		
		
09:40 - 10:30

Keynote Presentation followed by “Meet-the-Editors” Session
Keynote: “Employment and Productivity, a Paradox for
Industrial Engineers” by Professor Mitchell M. Tseng,
Chair Professor, Department of Engineering and
Logistics Management, The Hong Kong University of Scienceand Technology“Meet-the-Editors” Session

10:30 - 11:00

Coffee/Tea Break with Snacks

Venus I & II, Level 3

Foyer - Level 3

11:00 - 12:30
AM Concurrent Sessions
			

Venus I, II & III, Level 3
Jupiter I, II & III, Level 3

12:30 - 13:30
		

Please present meal
tickets at gate

Lunch Buffet- *Kintamani - Level 3: If select “Muslim Meal” option
The Square - Level 2: If select “non-Muslim Meal” option

13:30 - 15:00
PM Concurrent Sessions			
15:00-15:30

Coffee/Tea Break with Snacks

15:30 - 17:30
PM Concurrent Sessions
			Friday09-Dec11

Venus I, II & III, Level 3
Jupiter I, II & III, Level 3
Foyer - Level 3
Venus I, II & III, Level 3
Jupiter I, II & III, Level 3

18:00 - 21:30

Conference Banquet at Furama Riverfront (ticket holders only)

Mercury Ballroom, Level 5

08:00 - 17:00

Registration, Morning Coffee/Tea

Foyer - Level 3

08:30-10:30

AM Concurrent Sessions

Venus I & II, Level 3

10:30 - 11:00

Coffee/Tea Break with Snacks

Foyer - Level 3

11:00 - 13:00
AM Concurrent Sessions			
13:00 - 14:30

Farewell Lunch Buffet

Venus I, II & III, Level 3
Jupiter I, II & III, Level 3
Foyer - Level 3
5

Welcome
Message
KEYNOTEPRESENTATION
Organizers& Committees
by Conference Chairs

Wed - 7 Dec, 09:10-09:50
Venus I & II, Level 3“2011 - A Service Odyssey”
Daniel BergDistinguished Research Professor of Engineering
University of Miami
USA

Abstract

The services sector, which includes such areas as health-care, education, recreation and utilities among others, accounts formore than 80 per cent of the economy of the United States of America, as measured by either the Gross Domestic Product(GDP) or employment metric. The other developed economies and developing economies seemingly are following the same
pattern as the United States of America with increasing accent on the services sector.
Having grown up in a manufacturing-oriented family and with an earlier career similarly focused, I have experienced directly
the transition to a service-oriented economy. Much of the transition but not all of it results from the technological revolution
still in process in information technology.
As a student, researcher and teacher in service operations management and the management of technological innovation,
I will share my Odyssey and explore the significance of the economic and social transition underway through the lens of apractioner in the critical field of technology management.

About the Speaker

Dr. Berg is a former Dean of Science and Provost at Carnegie Mellon University and Vice President for Academic Affairs andProvost at Rensselaer Polytechnic Institute (RPI), where he has also served as President. Prior to his academic career, he was
Director of Research at Westinghouse and Technical Director. He has served and is serving on several boards of directors fora variety of industrial manufacturing and service companies and is chairman of the board for the Crystek Corporation, amanufacturer of RF timing products. In 2007, he received the Engineering Management Educator of the Year award from theIEEE Engineering Management Society. He is also a member of the US National Academy of Engineering and a Life Fellow ofIEEE. Professor Berg received his PhD from Yale University.

6

KEYNOTE
OrganizersPRESENTATION& Committees

Wed - 7 Dec, 09:50-10:30
Venus I & II, Level 3“Reliability Management in New Product Development”
DNP Murthy

Professor
School of Mechanical and Mining Engineering
The University of Queensland,
Australia

Abstract

When customers (individuals, businesses or government agencies) buy a new product they have expectations that the productthey have purchased will perform satisfactorily over its useful life. The performance depends on the reliability of the product.
Building in reliability is costly but the consequence of not having adequate reliability is costlier. This implies that reliability
management in new product development is very critical. The lecture will focus on this topic and proposes a methodology for
effective decision-making, from a product life cycle perspective, taking into account the technical and commercial aspects

About the SpeakerPra Murthy obtained B.E. and M.E. degrees from Jabalpur University and the Indian Institute of Science in India and M.S.
and Ph.D. degrees from Harvard University. He is currently an emeritus professor in the School of Mechanical and Mining
Engineering at the University of Queensland. Prior to this he was Director of the Technology Management Centre and Professor
of Engineering Operations and Management. He has held visiting appointments at several universities in the USA, Europe
and Asia (including a distinguished professorial appointment the National University of Singapore). His current researchinterests include various aspects of new product development (reliability in new product development) and post-sale support(warranties, service contracts). He has authored or co-authored 25 book chapters, 170 journal papers and 150 conference papers.
He is a co-author of Mathematical Modelling (Pergamon Press, London, 1990), Warranty Cost Analysis (Marcel Dekker, New
York, 1994), Reliability: Modelling, Prediction and Optimization (Wiley, New York, 2000), Weibull Models (Wiley, New York,
2003), Warranty Management and Product Manufacture (Springer Verlag, London, 2005), Maintenance: Decision Models forManagement, (Science Press, Beijing), Product Reliability: Specification and Performance (Springer Verlag, 2008) and Warranty
Data Collection and Analysis (Springer Verlag, 2011). He is co-editor of Product Warranty Handbook (Marcel Dekker, New
York, 1996), Case Studies in Reliability and Maintenance (Wiley, New York, 2002) and Complex System Maintenance Handbook(Springer Verlag, 2007). He is on the editorial boards of eight international journals and has run short courses for industry on
various topics in technology management, operations management and post-sale support in Australia, Asia, Europe and theUSA.

7Welcome
Message
KEYNOTEPRESENTATION
Organizers& Committees
by Conference Chairs

Thu - 8 Dec, 09:00-09:40
Venus I & II, Level 3“Employment and Productivity, a Paradox for Industrial
Engineers”
Mitchell M. Tseng

Chair Professor
Department of Industrial Engineering and Logistics Management
Hong Kong University of Science and Technology
Hong Kong
Abstract

In the past century, we, industrial engineers, along with global market force, and more educated work force, have madesignificant contributions in productivity improvement and altered the entire economic landscape. Particularly, in manufacturingindustry, because high transferability of its outputs, the productivity improvement has substantially driven down the costof production. While we are enjoying unprecedented abundance of products, productivity also translates to produce morewith less. In the mean time, the rapid increase of labor participation from emerging economy, in the form of low labor cost,has substantially increased the size of productive labor pool, thus further compounding the issues of shortage of jobs. There
are regions in the world suffering prolonged high unemployment. In fact, lack of employment opportunities for certain age
groups in some geography has become a long-standing social problem that cultivates other social ills such as crime, unrest,
and riots. This presentation attempts to stimulate discussion about the mission of industrial engineering from the perspective
seemingly unresolvable conflicts of jobs and productivity. Hopefully, solutions can be developed to go beyond conventional
remedies of unemployment insurance or redoubling isolated efforts in achieve competitive.

About the Speaker

Professor Mitchell M TSENG, Chair Professor of Industrial Engineering and Logistics Management and Associate VicePresident for Research and Innovation at Hong Kong University of Science and Technology. He currently also holds Nanyang
Visiting Professorship at Nayang Technology University in Singapore.
Professor Tseng received both his Mater’s and PhD degrees in Industrial Engineering from Purdue University. He isinternationally known for his work in mass customization and global manufacturing. He started his career in developing key
enabling manufacturing technologies for computer industry, some of which, including the diamond machining for polygons inlaser printers, are still widely used. After serving in the industry for almost two decades, in 1993, he left his executive position
from Digital Equipment Corporation and joined HKUST as the founding Head of the Department of Industrial Engineering.
Professor Tseng had held faculty positions in Massachusetts Institute of Technology, University of Illinois–Urbana Champaign,and MIT–Zaragoza International Logistics Program. He is an elected Fellow of the International Academy of Production
Research (CIRP) and American Society of Mechanical Engineers (ASME). He has also been serving as a co-chair of theInternational Mass Customization and Personalization Conference since its inauguration in 2001.

8

SPEAKERGUIDES
Organizers& Presentation
Committees
KeynoteOral Presentation
1.

Determine Your Audio-Visual Needs
Each meeting room comes equipped with a computer, LCD projector and screen. The computers in the meetingrooms 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 is limited
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 time foryour presentation includes a discussion and a changeover to the next speaker. Session Chairs will hold you to theallotted time. This is essential to ensure adequate time for questions and discussion as well as adherence to theschedule.
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 Venus III level 3 and your assigned poster board will be marked with your Paper ID. Pleasefeel free to approach the help desk for assistance.
1.

Prepare Your Poster
Each presenter is provided with a 2 metre high by 1 metre wide poster board.
The presentation must cover the same 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 contacting you
for more information.
• You have complete freedom in displaying your information in figures, tables, text, photographs, etc in the poster.
• 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.
• 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 as 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 have special
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. IEEM2011 will not be
responsible for posters and materials left on poster boards after the end of the session.

9PROGRAM OVERVIEW

Organizers& Presentation
Committees
KeynoteTue - 6 Dec

12:00

Registration Desk Opens

14:00 - 17:00

Pre-conference Tour - Singapore Port Terminals

15:00 - 16:30

Workshop: “Technology Innovation Management: an Editor’s Perspective" (Mercury III, Level 5)

16:30 - 18:30

Welcome Reception ( Mercury I & II, Level 5)
Wed - 7 Dec
Opening Remarks & Keynote Presentations (Venus I & II, Level 3)

9:00 - 10:30
Meeting Rooms

11:00 - 12:30

Venus I

Venus II

Decision Analysis& Methods (1)p. 11

Jupiter I

Operations
Research (1)p. 12

Supply Chain
Management (1)p. 13

Jupiter II

Jupiter III

Venus III

Production
GlobalPlanning & Control Manufacturing and(1)
Management
p. 14
p. 15

Lunch Buffet (The Square, Level 2 or Kintamani, Level 3)

12:30 - 13:30

13:30 - 15:00

Decision Analysis& Methods (2)p. 11

Operations
Research (2)p. 12

Supply Chain
Management (2)p. 13

Production
Planning & Control
(2)
p. 14

Engineering
Education andTraining
p. 15

15:30 - 17:30

Decision Analysis& Methods (3)p. 11

Operations
Research (3)p. 12

Supply Chain
Management (3)p. 13

Human Factors
p. 14Intelligent Systems
p. 15

Poster Session 1
p. 16 & 17

Thu - 8 Dec
Keynote Presentation followed by "Meet-the-Editors" Session (Venus I & II, Level 3)

9:00 - 10:30
Meeting Rooms

Venus I

Venus II

Jupiter I

Jupiter II

Jupiter III

11:00 - 12:30

Decision Analysis& Methods (4)p. 18

Quality Control &Management (1)p. 19

Supply Chain
Management (4)p. 20

Information
Processing andEngineering
p. 21

Facilities Planningand Management
p. 22

Venus III

Lunch Buffet (The Square, Level 2 or Kintamani, Level 3)

12:30 - 13:30

13:30 - 15:00

Decision Analysis& Methods (5)p. 18

Project
Management (1)p. 19

Supply Chain
Management (5)p. 20

Technology andKnowledge
Management (1)p. 21

Engineering
Poster Session 2
Economy and Cost
p. 23 & 24
Analysisp. 22

15:30 - 17:30

Manufacturing
Systems (1)p. 18

Project
Management (2)p. 19

Safety, Security &Risk Management
p. 20

Technology andKnowledge
Management (2)p. 21

Service Innovationand Managementp. 22

Conference Banquet (Mercury Ballroom, Level 5)

18:00 - 21:30

Fri - 9 Dec
Meeting Rooms

Venus I

Venus II

Jupiter I

Jupiter II

Jupiter III

8:30 - 10:30

E-Business and ECommercep. 25

Quality Control &Management (2)p. 25

Reliability and
MaintenanceEngineering (1)p. 26

Technology andKnowledge
Management (3)p. 27

Systems Modelingand Simulation (1)p. 27

Manufacturing
Systems (2)p. 25

Quality Control &Management (3)p. 26

Reliability and
MaintenanceEngineering (2)p. 26

Technology andKnowledge
Management (4)p. 27

Systems Modelingand Simulation (2)p. 28

11:00 - 13:00

13:00 - 14:30

10

Farewell Lunch ( Foyer - Level 3)

Venus III

Poster Session 3
p. 29 & 30

Decision Analysis & Methods (1)Decision Analysis & Methods (2)Decision Analysis & Methods (3)Wed, 7 Dec 11:00 - 12:30
Room: Venus I

Wed, 7 Dec 13:30 - 15:00
Room: Venus I

Wed, 7 Dec 15:30 - 17:30
Room: Venus I

Chairs:Chairs:Chairs:Krzysztof Ostaszewski
Amir Elalouf

Abstracts: see page 31

Yuya Kajikawa
Egon Mueller

Abstracts: see page 32

Profitability Analysis Using
Data Envelopment
Analysis-Discriminant
Analysis: an Empirical Study

Analyzing Newsvendor
Problems by One-Shot
Decision Approaches with
Considering Regret

Comparison of Neural Network
and Regression Techniques for
Nonlinear Prediction Problems

Simplification of Decision
Making Matrix in Fuzzy
Multiple Attribute Decision
MakingHung-Tso Lin1, Yin-Chi Huang1
1
National Chin-Yi University of Technology,
TaiwanUsha Anantha Kumar1, Mukta Paliwal1
1
Indian Institute of Technology Bombay,
India

A Decision Analysis on Flexible
Scale of Green Logistics under
Limited Carbon Emission with
Real Options
Concept
Tyrone T. Lin1, Mong-Tien Chan11National Dong Hwa University, Taiwan

Integration Model of Fuzzy C
Means Clustering Algorithm
and TOPSIS Method for
Customer Lifetime Value
Assessment

Amir Hossein Azadnia1, Muhamad
Zameri Mat Saman1, Kuan Yew Wong1,
Abdul Rahman Hemdi2
1
Universiti Teknologi Malaysia, Malaysia
2
Universiti Teknologi Mara, Malaysia

A Modified Algorithm to Find a
Representative Capacity with
Evenness Consideration for
Non-additive Robust Ordinal
Regression
Roghayeh Hemmatjou1, Nasim
Nahavandi2, Behzad Moshiri3, I.
Nakhai1
1
Tarbiat Modares University, Iran
2
University of Tarbiat Modarres, Iran
3
Tehran University, Iran

Established the Evaluation
Structure of the Investment
Benefit of the "Doubling
Tourist Arrivals Plan" in
TaiwanHuey-hsi Lo1, Pei-cheng Wen2
1
Aletheia University, Taiwan
2
Chung-Hua Institution for Economic
Research, Taiwan

Peijun Guo1, Yating Yang1
1
Yokohama National University, Japan

Zhi Pei1, Li Zheng2
1
Zhejiang University of Technology, China
2
Tsinghua University, China

A Petri Net Approach to
Resource Allocation in Brand
Management Systems

Hongwei Liao1, Min Lu2
1
University of Michigan, Ann Arbor,
United States
2
The Hong Kong Polytechnic University,
China

Optimal Determination of
Simulated Annealing
Parameters using TOPSIS

Fateme Fotuhi1
1
University of South Carolina, UnitedStatesMerger and Acquisition
Decisions Analysis with
Sustainability Operation
Concept

Tyrone T. Lin1, Yi-Shun Huang1
1
National Dong Hwa University, Taiwan

Simulation-Based Operational
Decision Analysis at
Decoupling Point in MTS-MTO
SystemFeng Yu Wang1, Laura Xiao Xia Xu1,
Ronald Lim1, E.W. Lee1, Michal
Zarzycki1
1
Singapore Institute of Manufacturing
Technology, Singapore

Yves De Smet
Ching-Yu Lien

Abstracts: see page 33

Applying Green Goodwill for
Project Management on Green
Economics Concept
Tyrone T. Lin1, Wei-Cheng Wu1
1
National Dong Hwa University, Taiwan

A Fuzzy-based Integrated
Framework for Monitoring
Stochastic Demand in a Supply
Chain Environment
Henry Lau1, Premaratne
Samaranayake1, Dilupa Nakandala1
1
University of Western Sydney, Australia

A Multicriteria Decision Modelfor Managing Business
Processes
Ana Carolina Campos1, Adiel Almeida1
1Federal University of Pernambuco, Brazil

Reducing Violence: A Proposal
Based on Multicriteria
SMARTS Method

Andre Gurgel1, Caroline Mota1, Dario
Aloise21
Federal University of Pernambuco, Brazil
2
Federal University of Rio Grande do Norte,
BrazilSelection and Ranking of
Improvement Approaches inConstruction Companies:
SMARTS Method

Renata Maciel de Melo1, Denise
Medeiros1, Adiel Almeida1
1Federal University of Pernambuco, Brazil

Innovative Support of Creation
by Analogy-based Searching ofPotential Needs

Takayuki Suzuki1, Taro Tezuka2, Atsushi
Aoyama1, Fuminori Kimura1, Akira
Maeda1
1
Ritsumeikan University, Japan
2
University of Tsukuba, Japan

Insurance Pricing, Reinsurance
and Investment Decision Basedon the Mutual Benefit of the
Insurer and the Customer
Hong Mao1, Krzysztof M. Ostaszewski2
1
Shanghai Second Polytechnic University,
China
2
Illinois State University, United States

Enhancing Tool Availability in
the Forging Industry byAdjusting PPC and Tool
Maintenance

Anis Selaouti1, Sven Baumgarten1,
Jens-Michael Potthast1, Rouven Nickel1
1
Institute of Integrated Production
Hannover gGmbH, Germany

11

Operations Research (1)Operations Research (2)Operations Research (3)Wed, 7 Dec 11:00 - 12:30
Room: Venus II

Wed, 7 Dec 13:30 - 15:00
Room: Venus II

Wed, 7 Dec 15:30 - 17:30
Room: Venus II

Chairs:Chairs:Chairs:Mohamed K Omar
Arik Sadeh

Abstracts: see page 34

Robust Optimization for
Resource-constrained Project
Scheduling with Uncertain
Activity Durations

Roel Leus1, Christian Artigues2, Fabrice
Talla Nobibon3
1
Katholieke Universiteit Leuven, Belgium
2
Research Institution, France
3
HEC-Management School, University ofLiege, Belgium

EPSO for Solving Non-oriented
Two-dimensional Bin Packing
ProblemMohamed K. Omar1, Kumaran
Ramakrishnan2
1
Nottingham University Malaysia,
Malaysia
2
Multimedia University, Malaysia

Equivalent Relationships of
Problem Formulations
Optimizing Forecast Accuracy

Xue-Ming Yuan1, Wee Meng Yeo1, Joyce
M.W. Low2
1
Singapore Institute of Manufacturing
Technology, Singapore
2
Korea Aerospace University, South Korea

Multi-heuristics Based Genetic
Algorithm for Solving
Maritime Inventory Routing
ProblemNurhadi Siswanto1, Daryl Essam1,
Ruhul Sarker1
1
University of New South Wales, Australia

A Heuristic Algorithm for
Substrates Testing in MCM

Keisuke Murakami1
1
National Institute of Informatics, Japan

Nash Equilibruim Retail Prices
in a Linear Duopoly Market
Tomoki Hamaguchi1, Koichi Nakade1
1
Nagoya Institute of Technology, Japan

Cross Docking Scheduling with
Delivery Time Window andTemporary Storage
Dwi Agustina1, Carman Ka Man Lee1,
Rajesh Piplani1
1
Nanyang Technological University,
Singapore

Romeo Marian
Noor Hasnah Moin

Abstracts: see page 35

A Stochastic Formulation of
Successive Software Releases
with Faults Severity

Ompal Singh1, Pramod Kumar Kapur1,
Adarsh Anand1
1
University of Delhi, India

Capacitated Hub Location
Problems with Waiting Time at
Hubs

Arsham Atashi1, Mostafa Abedzadeh1
1K. N. Toosi University of Technology, Iran

Evaluation on Operation
Management of Cascade
Hydropower Stations

Y. Zheng1, X.D. Fu2, Jia Hua Wei2, Xiang
Li2
1
Tsinghua University, Three Gorges
University, China
2
Tsinghua University, China

Xue-Ming Yuan
Mojahid Saeed Osman

Abstracts: see page 36

A Hospital Admission Planning
Model for Emergency andElective Patients Under
Stochastic Resource
Requirements and No-shows
Phongchai Jittamai1, Thirapan
Kangwansura1
1
Suranaree University of Technology,
ThailandMulti-processor Job Shop
Scheduling with Due Windows
Rong-Hwa Huang1, Shun-Chi Yu1
1
Fu Jen Catholic University, Taiwan

Spreadsheet Approach for
Solving Complex Flowshop
Scheduling Problems
Mohamed K. Omar1
1
Nottingham University Malaysia,
Malaysia

A Review of Data Envelopment
Analysis Models for Handling
Data Variations

A Pseudo-efficient Frontier
Method for Solving Two-Phase
Packing Problems

Order Batching and Picking in a
Synchronized Zone Order
Picking System

Moral Hazard Resolved inCommunication for S4n-Logic Acyclic Communication
Network Case -Chuen Tse Kuah1, Kuan Yew Wong1
1
Universiti Teknologi Malaysia, Malaysia

Li Pan1, Joshua Zhexue Huang2, Sydney
C. K. Chu1
1
The University of Hong Kong, China
2
Shenzhen Institutes of Advanced
Technology, Chinese Academy of Sciences,
China

Evacuation Route Scheduling
Using Discrete Time-BasedCapacity-Constrained Model
Mojahid F. Saeed Osman1, Bala Ram2
1
King Fahd University of Petroleum andMinerals, Saudi Arabia
2
North Carolina A&T State University,
United StatesDavid Raz1, Arik Sadeh1
1Holon Institute of Technology, Israel

Takashi Matsuhisa1
1
Ibaraki National College of Technology,
Japan

Optimization of Multi Periods
Inventory Routing Problem
Model with Time Varying
DemandNoor Hasnah Moin1
1
University of Malaya, Malaysia

A Math-heuristic Approach for
Integrated Resource Schedulingin a Maritime Logistics Facility
Hua Xing Chen1, Hoong Chuin Lau1
1
Singapore Management University,
Singapore

A Tabu Search Algorithm for
Integrated Inventory and
Vehicle Routing Problem in
One Depot and Multicustomers
Distribution System
Anchalee Supithak1
1
Thai-Nichi Institute of Technology,
Thailand12

Supply Chain Management (1)Supply Chain Management (2)Supply Chain Management (3)Wed, 7 Dec 11:00 - 12:30
Room: Jupiter I

Wed, 7 Dec 13:30 - 15:00
Room: Jupiter I

Wed, 7 Dec 15:30 - 17:30
Room: Jupiter I

Chairs:Chairs:Chairs:Niak Wu Koh
Md. Mamun Habib

Abstracts: see page 37

Effective Design of theConstruction Supply Chain: A
Case of Small Buildings in
ThailandSataporn Amornsawadwatana1
1
University of the Thai Chamber ofCommerce, Thailand

Simply Structured Policies for a
Dynamic Pricing Problem with
Constant Price Elasticity
DemandChia-Shin Chung1, James Flynn11Cleveland State University, United States

Governance Mode in Reverse
Logistics: a Research
Framework

Qing Lu1, Mark Goh1, Robert De Souza1
1
National University of Singapore,
Singapore

Developing an Improved
Particle Swarm Optimization
Algorithm for Solving theInventory Routing Problem
with Direct Shipment
I. Nakhai1, Seyed Hessameddin
Zegordi1, Ali Hossein Mirzaei1
1
Tarbiat Modares University, Iran

Risks Assessment of Lower TierSuppliers Using Operational
Reliabilities and ProductAvailabilities
Gopal Agarwal1, Piyush Singhal2,
Murari LaiMittal1
1
Malaviya National Institute of Technology
Jaipur, India
2
GLA University, India

EOQ Model Development for
Perishable Items under Stock
Dependent Demand and Time
Dependent Partial Backlogging
by Using Intelligent Packaging
Narges Khanlarzade1, I. Nakhai1, B.
Yousefi2
1
Tarbiat Modares University, Iran
2
Islamic Azad University, Iran

A Study on Lean Supply Chain
Performance Measures of SMEs
in the Automotive Industry
Farzad Behrouzi1, Kuan Yew Wong1,
Farshad Behrouzi1
1
Universiti Teknologi Malaysia, Malaysia

Weidong Lin
Virgilio Cruz-Machado

Abstracts: see page 38

Abstracts: see page 39

An Exploratory Research on
Educational Supply Chain
Management

Md. Mamun Habib1, Veena Tewari2,
VVR Raman3
1
American International
University-Bangladesh (AIUB), Bangladesh
2Asia Pacific Institute of Management, India
3
Asmara College of Health Sciences, South
AfricaProduction and Distribution
Planning Model for Hinterland
Supply Chain

Shi Tao Zhao , Xue-Ming Yuan , Shih Fu
Ling1
1
Nanyang Technological University,
Singapore
2
Singapore Institute of Manufacturing
Technology, Singapore
1Songlin Chen
Maria Grazia Gnoni

2

The Application of Vendor
Managed Inventory in the
Supply Chain Inventory Modelwith Probabilistic Demand

Yosi Agustina Hidayat1, Ika Deefi
Anna2, Arlene Khrisnadewi1
1
Bandung Institute of Technology, Indonesia
2
Bandung Institute of Technology,
University of Trunojoyo, Indonesia

A Logistics Execution Method
for the Regional Distribution
CenterYuan-Kuei Huang1, Wei-Jun Lu2,
Jun-Der Leu2
1
Deloitte & Touche Consulting Co., Taiwan
2
National Central University, Taiwan

Research on Measuring Methodof Supply Chain Resilience
Based on Biological Cell
Elasticity Theory
Ying Shuai1, Xinping Wang1, Lindu
Zhao1
1
Southeast University, China

Critical Success Factors of Total
Productive Maintenance
Implementation: A Review

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

Designing the Optimal
Strategies for Supply Chain
Financing under Warehouse
Receipt Pledging with Credit
Line
Nina Yan1, Tian Tian1
1
Central University of Finance andEconomics, China

A Framework for Integrated
Assessment of Sustainable
Supply Chain Management

Farzad Dehghanian1, Saeed Mansoor2,
Mahboobeh Nazari2
1
Ferdowsi University of Mashhad, Iran2
Amirkabir University of Technology, Iran

A Multiobjective Evolutionary
Approach for Integration of
Location-Inventory and Vendor
Selection Decisions
Chia-Lin Hsieh1
1
Aletheia University, Taiwan

Selection of Distribution
Centers with the Time Value ofMoney and the Loyal Customer
EffectAlireza Amini1, Reza
Tavakkoli-Moghaddam1, Armand
Baboli2
1
University of Tehran, Iran
2
Universite de Lyon, France

Coffee Waste Management. A
Case Study

Virginia Machado1, Ana Paula Barroso1,
Carolina Santos1, Virgilio Cruz
Machado1
1
Universidade Nova de Lisboa, Portugal

A Buffer Stock Model to Ensure
Price Stabilization and
Availability of Seasonal Staple
Food by Empowering Producer
Using Warehouse Receipt
SystemWahyudi Sutopo1, Senator Nur
Bahagia2, Andi Cakravastia2, T.M.A.
Arisamadhi2
1Bandung Institute of Technology, Sebelas
Maret University, Indonesia
2
Bandung Institute of Technology, Indonesia

Conceptual Model for
Information Systems of
Sustainable Supply Chain
Management

Majid Aarabi1, Muhamad Zameri Mat
Saman1, Mohammad Reza Khoei1, Kuan
Yew Wong1, Hooshang M. Beheshti2,
Norhayati Zakuan1
1
Universiti Teknologi Malaysia, Malaysia
2
Radford University, United States

Using an Artificial Neural
Network and a Mathematical
Model for Sugarcane
Harvesting Scheduling

Surached Thuankaewsing1, Supachai
Pathumnakul1, Kullapapruk
Piewthongngam1
1
Khon Kaen University, Thailand

13

Production Planning & Control (1)Production Planning & Control (2)Human Factors

Wed, 7 Dec 11:00 - 12:30
Room: Jupiter II

Wed, 7 Dec 13:30 - 15:00
Room: Jupiter II

Wed, 7 Dec 15:30 - 17:30
Room: Jupiter II

Chairs:Chairs:Chairs:Suksan Prombanpong
Fazleena Badurdeen

Abstracts: see page 40

Abstracts: see page 41

Optimum Quantities of Make
and Buy in Multi-Item
Manufacturing Firms with
Restriction in Production
Capacity
Mohammadal A. Pirayesh Neghab1,
Saeed Poormoaied1
1
Ferdowsi University of Mashhad, IranStudy and Application of
Scheduling Method for
Just-in-time Production in
Flexible Job Shops

Adaptive Scheduling by Meansof Product-specific Emergence
Data
Gunther Reinhart1, Florian Geiger1
1
Technische Universitat Munchen,
Germany

A Worker Assignment for
Machine Cluster in the
Manufacturing Cell

Suksan Prombanpong1, Waraporn
Seenpipat1
1
King Mongkut's University of Technology
Thonburi, Thailand

Wei Weng1, Shigeru Fujimura1
1
Waseda University, Japan

Order Selection of Processed
Chicken under Production
Capacity Constraints
Pachara Chatavithee1, Kullapapruk
Piewthongngam1, Supachai
Pathumnakul1
1
Khon Kaen University, Thailand

Clustering Variables Selectionin Mass Customized Scenarios
Affected by Workers’ Learning
Michel Anzanello , Flavio Fogliatto
1
Federal University of Rio Grande do Sul,
Brazil1

Jannes Slomp
Seyyed Mohammad Taghi Fatemi
Ghomi

1

Interactive Online Process
Management and Quality
Control for Cross-Sited
Production Process Chains

Peter Becker1, Robert Schmitt2
1
Fraunhofer Institute for Production
Technology, Germany
2
RWTH Aachen University, Fraunhofer
Institute for Production Technology,
Germany

Periodic Virtual Cell
Manufacturing (P-VCM) Concept, Design, andOperation

Jannes Slomp1, Dimitry Krushinsky1,
Rahul Caprihan2
1
University of Groningen, Netherlands
2
Dayalbagh Educational Institute, India

A Novel Virtual Design
Platform for ProductInnovation Through Customer
Involvement

Xingyu Chen1, Chun-Hsien Chen1, Kah
Fai Leong1
1
Nanyang Technological University,
Singapore

Optimal Production Policy of
Production System with
Inventory-level-dependent
Demand in Segmented Market

Yogender Singh1, Kuldeep Chaudhary1,
P.C. Jha1
1
University of Delhi, India

Heuristic Decomposition andLP-based Scheduling in
Make-and-Pack Production

Philipp Baumann1, Norbert Trautmann1
1
University of Bern, Switzerland

Robust Optimization Model for
Fan Coil Production Planningunder Supply Uncertainty
Jamshid Nazemi1, Roja Zakeri1
1Islamic Azad University, IranAn Application of Network
Topology to Understand The
Signal in Process Variability: A
Case Study in Petrochemical
Industry
Shamshuritawati Sharif1, Maman
Djauhari2
1
Universiti Teknologi Malaysia, Universiti
Utara Malaysia, Malaysia
2
Universiti Teknologi Malaysia, Malaysia

Jan Pieter Clarys
Mohammed-Aminu Sanda

Abstracts: see page 42

Monitoring and Classifying
Evidence-Based Workload forProfiling Manual Handling
Occupations

Jan Pieter Clarys1, Jonathan Tresignie1,
Aldo Scafoglieri1, Erik Cattrysse1
1
Vrije Universiteit Brussel, Belgium

Measurement of Handgrip
Force of the Dominant Hand at
Pre-selected Force Levels for
Males
Kai-Way Li1
1
Chung Hua University, Taiwan

Lumbosacral Bending Moment
Assessment and Parameter
Optimization Using Taguchi
Design during Lifting Task in a
Steel Rolling Mill
Sarbjeet Singh1, Sunand Kumar2
1
Government College of Engineering andTechnology, India
2
National Institute of Technology, India

A Perspective on Human
Factors Contributing to Quality
Requirements: a Cross-caseAnalysis
Annlize Marnewick1, H.C. Pretorius1,
Leon Pretorius2
1
University of Johannesburg, South Africa
2
University of Pretoria, South Africa

Occupational Stress,
Knowledge Sharing and GSD
Communication Barriers as
Predictors of Software
Engineer's Creativity

Aamir Amin1, Shuib Bin Basri1, Mohd
Fadzil Hassan1, Mubashir Rehman1
1
Universiti Teknologi Petronas, Malaysia

Miners' Tacit Knowledge: A
Unique Resource forDeveloping Human-oriented
Lean Mining Culture in Deep
Mines

Mohammed Aminu Sanda1, Jan
Johansson1, Bo Johansson2
1
Lulea University of Technology, Sweden

Identifying the Meaning ofInformation Signs in Traffic
Facilities
Hsien-Yu Tseng1, Bor-Shong Liu1
1
St. John's University, Taiwan

Analysis of Design andPurchase Decision of Central
Dust Collection System

Yeasin Bhuiyan1, A.l. Khan2
1
Bangladesh University of Engineering andTechnology, Bangladesh
2
University of Kentucky, United States

14

Global Manufacturing andManagement

Engineering Education and Training

Intelligent Systems

Wed, 7 Dec 11:00 - 12:30
Room: Jupiter III

Wed, 7 Dec 13:30 - 15:00
Room: Jupiter III

Wed, 7 Dec 15:30 - 17:30
Room: Jupiter III

Chairs:Chairs:Chairs:Session Schedules
Alan Pilkington
Shin-Guang Chen

Abstracts: see page 43

Role of Knowledge
Management in World Class
Manufacturing: an EmpiricalInvestigation

Abhijeet Digalwar1, Kuldip Singh
Sangwan1
1
Birla Institute of Technology and Science,
India

Statistical Quality Control
Measurement on Furniture
Manufacturer

Laurence1, Christine Puteri Utama1,
Jessica Hanafi1
1
University of Pelita Harapan, Indonesia

The Influence of Geothermal
Environment to the Quality ofPorcelain Insulator: A
Correlation Analysis

Syahidah Yusoff1, Maman Djauhari1
1
Universiti Teknologi Malaysia, Malaysia

Learning Organisation in New
Zealand and Malaysian
Manufacturing Companies
Affandi Mohd-Zainal1, Jane Goodyer1,
Nigel Grigg1, Jafri Mohd Rohani2
1
Massey University, New Zealand2
Universiti Teknologi Malaysia, Malaysia

Integration of Production and
Supply Chain Strategic
Planning for Renewable
Resources under Sustainability
Considerations: Teakwood Case
Study
Bobby Kurniawan1, Muhammad
Hisjam2, Wahyudi Sutopo3
1
Bandung Institute of Technology,
University of Sultan Ageng Tirtayasa,
Indonesia
2
Sebelas Maret University, Indonesia
3
Bandung Institute of Technology, Sebelas
Maret University, Indonesia

On Work Performance for the
Labor-intensive Manufacturing
Shin-Guang Chen1
1
Tungnan University, Taiwan

Seng Fat Wong
Richard Fung

Abstracts: see page 44

Nan Chen
R. J. Kuo

Abstracts: see page 45

In House Industrial Training
for Mechanical Engineering
Students: a Multidisciplinary
Approach

Evolutionary-Based Support
Vector Machine

RFID-Aided Manufacturing
Training System andLocalization

The Effectiveness of Hybrid
Negative Correlation Learning
in Evolutionary Algorithm for
Combinatorial Optimization
Problems

S.K. Li1, KK Lau1, Vincent Li1
1
Hong Kong University of Science andTechnology, China

Seng Fat Wong1, W. I. Ho1, Zhixin Yang1,
C. T. Kwok1
1
University of Macau, Macau

Students' Experiences in
Different Forms of Support
during Doctoral Studies
Katja Lahenius1, Salla Maatta2
1
Aalto University, Finland
2
University of Jyvaskyla, Finland

Educational Game Concept for
the Transfer of Results from theTransdisciplinary Research to
the New Scientific Generation
Florian G. H. Behncke1, Moritz King1,
Udo Lindemann1
1Technische Universitat Munchen,
Germany

Quantitative Analysis ofInternational Mobility of
Robotics Researchers andCharacteristics of Domestic
Robotics Research

Takao Furukawa1, Nobuyuki
Shirakawa1, Kumi Okuwada1, Kazuya
Sasaki2
1
National Institute of Science andTechnology Policy, Japan
2
Utsunomiya University, Japan

Green Design Principles andTrends of Using Them among
Bangladeshi Consumer Goods
Manufacturers

Md. Shahriar Jahan Hossain1, Nafis
Ahmad1
1Bangladesh University of Engineering andTechnology, Bangladesh

R. J. Kuo1, C. M. Chen2
1
National Taiwan University of Science andTechnology, Taiwan
2
National Taipei University of Technology,
TaiwanRonnachai Sirovetnukul1, Parames
Chutima2, Warin Wattanapornprom2,
Prabhas Chongstitvatana2
1
Mahidol University, Thailand
2
Chulalongkorn University, Thailand

A New Guillotine Placement
Heuristic Combined with an
Improved Genetic Algorithm
for the Orthogonal
Cutting-Stock Problem

Slimane Abou Msabah1, Ahmed Riadh
Baba-Ali1
1
University of Science and Technology
Houari Boumedienne, Algeria

Intelligent System for Wind
Generating Plant
Yoko Amano1
1
Nihon University, Japan

Collaborative andNon-Collaborative Dynamic
Path Prediction Algorithm for
Mobile Agents Collision
Detection with Dynamic
Obstacles in a Two-dimensionalSpace
Elmir Babovic1
1
FIT Mostar, Bosnia and Herzegowina

Component-Integrated Sensors
and Communication for
Gentelligent Devices

Ludger Overmeyer1, Lutz Rissing1,
Marc C. Wurz1, Michael Dumke1, StefanFranke1, Tim Griesbach1, Alexander
Belski1
1
Leibniz University Hannover, Germany

Data Mining Application for
Customer Segmentation Basedon Loyalty: An Iranian Food
Industry Case Study

Ali Hajiha1, Reza Radfar1, Samira Sarafi
Malayeri2
1Islamic Azad University, Iran
2
Islamic Azad University, United ArabEmirates

Technology and Knowledge
Sharing Strategy in Systems
Engineering Practice performed
by Indonesian Expatriate
Engineers
Ika Windiarti1, Timothy Ferris1,
Matthew Berryman2
1
University of South Australia, Australia
2
University of Wollongong, Australia

15

Poster Session 1

p.47

Wed, 7 Dec
Room: Venus III
p.46

An Integrated Multi Agent
Based Model to Find the Most
Agile Supplier

Hoda Ghahremanloo1, Mohamad Jafar
Tarokh1
1
K. N. Toosi University of Technology, Iran

p.46

p.46

Impact of Product Design
Decisions within ProductDevelopment on the Supplier
Selection Process at the
Automotive Industry

Florian G. H. Behncke1, Katrin Abele2,
Udo Lindemann1
1Technische Universitat Munchen,
Germany
2
Dr.-Ing. h.c. F. Porsche AG, Germany

p.46

Ting Yang , Dinghua Zhang , Bing
Chen1, Shan Li1
1
Northwestern Polytechnical University,
China
1

p.47

p.47

p.47

p.47

p.47

Service Supply Chain Practices
from the Perspective of
Malaysian Tourism Industry

Optimal Selection of Location
for Distributed Generations to
Ensure a Competitive
Advantage Using Fuzzy
Analytical Network Process
Mahdiyeh Montazeri1, Mohammad
Saleh Owlia2, A Moghimi3, Mohamad
Kamalzadeh4
1Mazandaran University of Science andTechnology, Iran2
Yazd University, Iran
3
Taft PNU university, Iran
4
Industrial Engineering, Iran

p.46

p.46

A Solution to the Capacitated
Lot Sizing Problem
Zhicong Zhang1, Weiping Wang1,
Shouyan Zhong1, Kaishun Hu1
1
Dongguan University of Technology,
China

16

p.47

Simulation for Implementing
RFID-EPC in Reverse Supply
Chain Based on Consumer
MarketThe Use of Artificial Neural
Network (ANN) for Modelingof Diesel Contaminated Soil
Remediation by Composting
Process

Integrated Development ofSpace Systems - Design for
AIT - Design for Assembly,
Integration and Testing ofSatellites - D4AIT

p.48

p.48

p.48

Study on Dynamical Properties
and Simulation of a FourDimensional Nonlinear
Discrete Dynamics
Jing Peng1, Zehua Miao2, Luoping
Zheng31
Shijiazhuang University of Economics,
Tianjin University, China
2
Shijiazhuang University of Economics,
Beijing Institute of Technology, China
3
Shijiazhuang University of Economics,
China

Understanding Project Success:
The Four-Level Project Success
Framework
Eskander Howsawi1, David Eager1,
Ravindra Bagia1
1
University of Technology Sydney,
Australia

p.48

Probabilistic Sustainable
Design Using Multiobjective
Optimization Model
Jui-Sheng Chou1, Thanh-Son Le1
1
National Taiwan University of Scienceand Technology, Taiwan

p.48

The Role of Time, Cost andQuality in ProjectManagement
Nurul Izah Anuar1, Poh Kiat Ng1
1
Multimedia University, Malaysia

p.48

A Study of Measuring the
Impact of Employee Perception
on Business-IT Alignment via
Neural Network
T. C. Wong1, Shing-Chung Ngan1, Felix
T. S. Chan2, Alain Y. L. Chong21City University of Hong Kong, China
2
Polytechnic University of Hong Kong,
China

p.49

New Insight into Technology
Licensing Strategy andInnovation Performance:
Evidence from Chinese
Latecomers in High-tech
Industries
Yang Yang Zhao1, P.K. Wong1, A. M.
Subramanian1, C. C. Hang1
1
National University of Singapore,
Singapore

Using Structural Complexity
Management for Design
Process Driven Modularization
Harrys Daniilidis1, David
Hellenbrand1, Wolfgang Bauer1, Udo
Lindemann1
1Technische Universitat Munchen,
Germany

Profit Generation in a
Machining Service Provider Optimization Combining
Theory of Constraints andContribution Margin Concept
Elesandro A. Baptista1, Wagner C.
Lucato1, Nivaldo L. Coppini1, Milton
Vieira Junior1, Luiz C. Bekesas1
1
University Nove de Julho, Brazil

Adalberto Coelho Silva , Geilson
Loureiro1
1
National Institute for Space Research,
Brazilp.47

Technological Economic Study
for Ocean Energy
Development in China
Tianqi Wang1, Peng Yuan2
1
Zhejiang University, China
2
Ocean University of China, China

1

A Self-Crossover Genetic
Algorithm for Job Shop
Scheduling Problem

Shiwang Hou1, Yongjiang Liu1, Haijun
Wen1, Yuepeng Chen1
1
North University of China, China

Value Stream Mapping
Simulation Using ProModel
Software

Mehrdad Khamforoush1, M-Javad
Rahi1, Tahmas Hatami1, Kourosh
Rahimzade2
1
University of Kurdistan, Iran2
National Iranian Oil Products
Distribution Company, Iran

T.K. Hong1, Suhaiza Zailani1
1
Universiti Sains Malaysia, Malaysia

p.46

p.48

Feature Fatigue Analysis Basedon Behavioral Decision
MakingQiaolun Gu1, Tiegang Gao2
1
Tianjin University of Technology and
Education, China
2
Nankai University, China

Ramzi Hammami1
1
Toulouse Business School, France

p.46

Naseebullah Langove1, Shuib Bin
Basri1, P. D. D. Dominic1, Muhammad
Jehangir1
1
Universiti Teknologi Petronas, Malaysia

Nivaldo L. Coppini1, Luiz C. Bekesas1,
Elesandro A. Baptista1, Milton Vieira
Junior1, Wagner C. Lucato1
1
University Nove de Julho, Brazil

A Measurement Model for
Collaboration between
Suppliers and Manufacturers

An optimization model for
global supplier selection

Losses Caused by the
Presetting of Tools by the
Manual Method

Organizational E-Readiness
Impact on E-Procurement
Implementation

Session Schedules

Mingxing Wu1, Liya Wang1
1
Shanghai Jiao Tong University, China

Pingyuan Zou1, Hao Zhang1
1
Beijing Technology and Business
University, China

p.46

p.48

1

Milton Vieira Junior1, Jose Martinele A.
Silva1, Ivan Correr2, Nivaldo L.
Coppini1, Elesandro A. Baptista1
1
University Nove de Julho, Brazil
2
GeoTecno Solucoes em Automacao, Brazil

Measuring Supply Chain of
Packed Milk from Consumer
Perspective in Pakistan
Fariza Kamran1, Osman Babar1,
Muhammad Asim2
1
National University of Sciences &Technology, Pakistan
2
Center for Advance Studies inEngineering, Pakistan

Non-cooperative Game
Decision for Capacity
Evaluation under Output
Demand Uncertainty

p.49

Functional Semantic Retrieval
for Effects Knowledge Base

Hongtao Wu1, Jinling Zhang1, Jianhong
Ma1, Runhua Tan1
1
Hebei University of Technology, China

p.49

Constructing a Dynamic
Evaluation Model for
Corporate Diversification ─
The Thin-film Solar Cell

Chang-Lin Yang1, Rong-Hwa Huang1
1
Fu Jen Catholic University, Taiwan

p.49

A Study of Inter-firm Network
and Knowledge Integration
Impact Mechanism on
Absorptive Capacity

Zhigang FAN1, Shuai GENG2, Xiaoying
PENG1
1
Hangzhou Normal University, China
2
Zhejiang University City College, China

p.49

Adoption of Hierarchical
Structure for Web Document
Analysis in Knowledge
Management System

Rozlini Mohamed1, Junzo Watada2
1
University Tun Hussein Onn Malaysia,
Malaysia
2
Waseda University, Japan

p.49

Activities and Problems in
New Product Development
Process in the Networking
Industry - A Case of Different
Business Models
Min-Sun Wuang1, Shu-Min Chiang1
1
Fu Jen Catholic University, Taiwan

p.49

A Case Study on the
Importance of Knowledge
Management in Creative
Product Development
Poh Kiat Ng1, Nurul Izah Anuar1
1Multimedia University, Malaysia

p.49

Improving a Model for New
Service Development

Alireza Sheikhzadeh1, Hamed Heidari1
1
Amirkabir University of Technology, Iranp.50

HSR Buying Behavior
Modeling-Taiwan High Speed
Railway Case
Hsiao-min Chuang1, Chihpeng Chu2,
Yu-tzeng Lin3
1
St. Mary's Medicine, Nursing andManagement College, Taiwan
2
National Dong Hwa University, Taiwan
3
Taiwan Tourism & Hospitality
Management College, Taiwan

p.50

An Approach of Quality
Management in the Small
Business Environment ofSouth Africa

Bingwen Yan1, Li Zhang1
1Cape Peninsula University of Technology,
South Africa

17

Decision Analysis & Methods (4)Decision Analysis & Methods (5)Manufacturing Systems (1)Thu, 8 Dec 11:00 - 12:30
Room: Venus I

Thu, 8 Dec 13:30 - 15:00
Room: Venus I

Thu, 8 Dec 15:30 - 17:30
Room: Venus I

Chairs:Chairs:Chairs:Usha Ananthakumar
Feng-Chia Li

Abstracts: see page 51

Abstracts: see page 52

Genetic Algorithm for the
Project Scheduling Problem
with Fuzzy Time Parameters
Yilun Huang1, Yongyi Shou1, Linda
Zhang2
1
Zhejiang University, China
2
IESEG School of Management, France

Detection and Improvement of
Deficiencies and Failures in
Public- Transportation
Networks using
Agent-Enhanced Distribution
Data Mining

Eugene Levner1, Avishai Ceder2, Amir
Elalouf3, Yuval Hadas3, Dvir Shabtay4
1
Ashkelon Academic College, Israel
2
Technion-Israel Institute of Technology,
Israel3
Bar Ilan University, Israel
4
Ben-Gurion University of the Negev, Israel

Forecasting the Exchange Rate
between ASEAN Currencies
and USD

Tien-Chin Wang , Su-Hui Kuo ,Hui-Chen Chen2
1
National Kaohsiung University of Applied
Sciences, Taiwan
2
Kansai University, Japan1

Szu Hui Ng
Ronnachai Sirovetnukul

1

Pricing Annuity Insurance
Integrating Mortality
Improvement Risk, Interest
Rate Risk, Insolvency Risk andInsurance Demand

Hong Mao1, Krzysztof M. Ostaszewski2,
Yuling Wang3
1
Shanghai Second Polytechnic University,
China
2
Illinois State University, United States
3
Shanghai University of Finance andEconomics, China

Possibilistic Programming
Decision Making in Modality
Perspective
Arbaiy Nureize1, Junzo Watada1
1
Waseda University, Japan

Towards a Lifecycle-oriented
Planning of a Platform
Portfolio

Sebastian A. Schenkl1, Robert Orawski1,
Fatos Elezi1, Udo Lindemann1
1Technische Universitat Munchen,
Germany

Abstracts: see page 53

About Combined
Non-Expansive and Potentially
Expansive Properties of a Classof Self-Maps in Metric Spaces
Manuel De La Sen1
1
University of Basque Country, Spain

A Preliminary Study About the
Application of Multicriteria
Decision Aid to the Evaluationof the Road Projects'
Performance on Sustainable
SafetyRenaud Sarrazin1, Yves De Smet2
1
Universite Libre de Bruxelles, Belgian Road
Research Center, Belgium
2
Universite Libre de Bruxelles, Belgium

Exploration of Product Value Characteristic Relationship:
Partial Least Squares Path
Modeling for Product Design
and Development
Chathura Withanage1, Taezoon Park1,
Truong Ton Hien Duc2, Hae-Jin Choi3
1
Nanyang Technological University,
Singapore
2
Singapore Institute of Manufacturing
Technology, Singapore
3
Chung-Ang University, South Korea

Comparison between
Regression Analysis andArtificial Neural Network in
Project Selection.

Oludolapo Olanrewaju , Adisa Jimoh ,Pulek Kholopane2
1
Tshwane University of Technology, South
Africa2
University of Johannesburg, South Africa
1

1Application of TOPSIS Method
for Evaluating the Temporal
Dimensions of Marand City in
Urban Design
Maliheh Hashemi1, Mehdi Amiri-Aref2
1
Tabriz Islamic Art University, Iran
2
Mazandaran University of Science &Technology, Iran

Production and Raw Material
Ordering Management for a
Manufacturing Supply Chainwith Uncertainties

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

Chia-Ching Lin1, Chin-Chih Chang2,
Feng-Chia Li2, Tzu-Chin Chao3
1
Yu Da University, Taiwan
2
Jen-Teh Junior College of Medicine,
Nursing and Management, Taiwan
3
Hwa Hsia College, Taiwan

Integrated Optimisation of
Facilities Layout and Material
Handling System
Dhamodharan Raman1
1
CQUniversity, Australia

Model of Spine Configuration
Assembly Line Design for a
Product Family
Dida Damayanti1, Isa Setiasyah Toha2
1
Institut Teknologi Telkom, Indonesia
2
Institut Teknologi Bandung, Indonesia

Multi-objective Assembly Line
Balancing Problem with
Bounded Processing Times,
Learning Effect, andSequence-dependent Setup
Times
Nima Hamta1, Seyyed Mohammad
Taghi Fatemi Ghomi1,
M. Hakimi-Asiabar1, P. Hooshangi
Tabrizi1
1
Amirkabir University of Technology, Iran

Optimization and Modeling ofTurning Process for Aluminium- Silicon Carbide Composite
Using Artificial Neural
Network Models
R. Jeyapaul1, S. Sivasankar1
1
National Institute of Technology, India

Features Selection Approaches
Combined with Effective
Classifiers in Credit Scoring

18

Zhaotong Lian
Jannes Slomp

A Framework for Evaluating
Lean Implementation
Appropriateness

Diogo Aurelio1, Antonio Grilo1, Virgilio
Cruz Machado1
1
Universidade Nova de Lisboa, Portugal

Measuring Efficiency of
Production Lines Based on
Maintenance Factors ; Using
DEA
Sahar Abbasi1, Hadi Shirouyehzad1
1Islamic Azad University, Iran

Comfort Study of Work
Environment of Apparel
Industry

Wathavana Vithanage Randika Kosala1,
Nimesha Vilasini1, Janaka Gamage1
1
University of Moratuwa, Sri Lanka

Hybrid Solving Algorithm forComplex Machine Scheduling
ProblemJ. Behnamian1, Seyyed Mohammad
Taghi Fatemi Ghomi1, M. Zandieh2
1
Amirkabir University of Technology, Iran2
Shahid Beheshti University, Iran

Quality Control & Management (1)Project Management (1)Project Management (2)Thu, 8 Dec 11:00 - 12:30
Room: Venus II

Thu, 8 Dec 13:30 - 15:00
Room: Venus II

Thu, 8 Dec 15:30 - 17:30
Room: Venus II

Chairs:Chairs:Chairs:Amirhossein Amiri
Hendry Raharjo

Abstracts: see page 54

Leon Pretorius
Norbert Trautmann

Abstracts: see page 55

Developing a Framework for
Six Sigma in Financial Service
Institutions - Empirical
Evidence from Expert
Interviews
Ayon Chakraborty1, Michael Leyer2
1
Queensland University of Technology,
Australia
2Frankfurt School of Finance &Management, Germany

Improve Burnishing Formation
Yield Applying Design For Six
Sigma
Jianjun Wu1, Yizhen Wang1, Qizhong
Zhang1, Pengpeng Huang1
1
Jiangxi University of Science andTechnology, China

Robust Monitoring of Process
Mean Vector in Female
Shrouded Connector
Production: An Experience in
Malaysia

Rohayu Mohd Salleh , Maman
Djauhari1
1
Universiti Teknologi Malaysia, Malaysia
1

Research of Relationshipbetween Tolerance Allocationand Machine Movement Chain

Jiping Lu1, Shuiyuan Tang1, Guanghe
Lu2, Hao Song1
1
Beijing Institute of Technology, China
2
CNGC Shanxi Diesel Engine Industry Co.
Ltd, China

Implementation of Overall
Equipment Effectiveness in
Wire Mesh Manufacturing
Ratapol Wudhikarn1
1
Chiang Mai University, Thailand

Strategic Management of the
Triple Constraint Trade-off
Dynamics - a Polarity
Management Approach

C. Jurie Van Wyngaard1, H.C. Pretorius1,
Leon Pretorius2
1
University of Johannesburg, South Africa
2
University of Pretoria, South Africa

Total Productive Maintenancein a Semiconductor
Manufacturing Firm: An
Empirical Analysis

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

Innovation Project Portfolio
Management: the Case ofPhilips Research

Sergey Filippov1, Herman G. Mooi1
1
Delft University of Technology,
Netherlands

Project Risk Management: a
New Approach

Stefan Creemers1, Erik
Demeulemeester2, Stijn Van de Vonder2
1
IESEG School of Management, France
2
K.U.Leuven, Belgium

Exploring Close-optimal
Solutions for the Time
Constrained Scheduling
Problem in ProjectManagement

Christos Kiriklidis1, Konstantios
Kirytopoulos2, Elena Rokou2
1
University of Aegean, Greece2
National Technical University of Athens,
GreeceApplication of Real Options in
Project Portfolio Selection
Chengchao Wang1, Yongyi Shou1
1
Zhejiang University, China

Risk Factors Influencing Time
and Cost Overrun in Multiple
D&B Projects in Malaysia: aCase Study
Ramanathan Chidambaram1,
Narayanan Sambu Potty1, Arazi Bin
Idrus1
1
Universiti Teknologi Petronas, Malaysia

Ayon Chakraborty
Anil Varma

Abstracts: see page 56

Do Project Managers Need an
Operations Research Support
Indeed?(A Survey on Polish
Project Managers Attitude
towards Operations Research
Methods and Tools)
Tomasz Blaszczyk1
1
University of Economics, Poland

Dynamic Fuzzy Comprehensive
Evaluation of Contract
Management in Project
Department
Yunna Wu1, Yong Huang1, Wenjun
Chen1
1
North China Electric Power University,
China

Particle Swarm Optimization
for Preemptive Project
Scheduling with Resource
Constraints
Fei Li1, Changtao Lai1, Yongyi Shou1
1
Zhejiang University, China

An Optimization Model for theControl of Complex Turnkey
Projects in Plant Engineering
Egon Mueller1, Ralph Riedel1, Manuela
Krones1, Henrik Vay2
1
Chemnitz University of Technology,
Germany2
MAN Diesel & Turbo SE, Germany

Team Communications andAcademic R&D Performance: A
Case of National
Telecommunication Program of
TaiwanChia-Liang Hung1, Jerome Chih-Lung
Chou2, Shan-Jan Kuo1
1
Chi-Nan International University, Taiwan
2
Hwa-Hsia Institute of Technology, Taiwan

Prioritizing Activities on a
Building Site Project

Luciana Alencar1, Adiel Almeida1,
Caroline Mota1
1
Federal University of Pernambuco, Brazil

A Multi-Objective
Optimization and Fuzzy
Prioritization Approach for
Project Risk Responses
Selection

Ebrahim Rezaee Nik1, Seyed
Hessameddin Zegordi2, Ahad Nazari3
1
Tarbiat Modares University, Sadjad
Institute of higher Education, Iran
2
Tarbiat Modares University, Iran
3
Shahid Beheshti University, Iran

A Serial Scheme for
Minimizing the Duration of
Resource-Constrained Projects
within Microsoft Project
Norbert Trautmann1, Gianluca
Brandinu1
1
University of Bern, Switzerland

19Supply Chain Management (4)Supply Chain Management (5)Safety, Security & Risk Management

Thu, 8 Dec 11:00 - 12:30
Room: Jupiter I

Thu, 8 Dec 13:30 - 15:00
Room: Jupiter I

Thu, 8 Dec 15:30 - 17:30
Room: Jupiter I

Chairs:Chairs:Chairs:Mei Qi
Jun-Der Leu

Abstracts: see page 57

Reverse Logistics:
Implementation in the
Industrial Sector of Ecuador
Arun Kumar1, Christian Veloz1,
Roesfiansjah Rasjidin1
1
RMIT University, Australia

Performance-based MRO
Service Contracts with Two
Customer Classes

Niak Wu Koh1, Roland Y. G. Lim1
1
Singapore Institute of Manufacturing
Technology, Singapore

An Effective Heuristic for Yard
Template Design inLand-Scarce Container
Terminals
Mingkun Li1, Shiying Li2
1
Shanghai University, The Hong Kong
Polytechnic University, China
2
The University of Hong Kong, China

How the Effect ofCountry-of-Origin on Store
Brand Moderates Customer's
Affection-Conation Link
toward Multinational Retailers

Yung-Hsin Chen1, Shuo-Chang Tsai2,
Yi-Shuang Wu1, Shu-Min Li1
1
National Cheng Kung University, Taiwan
2
Asia Univeristy, Taiwan

Information Sharing in Supply
Chain: Modeling the Barriers
A. A. Pujara1, R. Kant1, M. D. Singh2
1
Sardar Vallabhbhai National Institute ofTechnology, India
2
Motilal Nehru National Institute ofTechnology, India

Service Impact on Customer
Demand and Member Profit ina Supply Chain
Rasul Jamshidi1, Seyyed Mohammad
Taghi Fatemi Ghomi1
1
Amirkabir University of Technology, Iran

Qing Lu
R. Kant

Abstracts: see page 58

The Resilience Paradigm in the
Supply Chain Management: A
Case Study

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

Minimizing the Vulnerabilities
of Supply Chain: A new
Framework for Enhancing theResilience

Umang Soni1, Vipul Jain1
1
Indian Institute of Technology Delhi, India

Reducing Risk in Supply
Chains with Forecasting - An
Analysis

Richard Lackes1, Markus Siepermann1
1Technische Universitat Dortmund,
Germany

A Supply Chain Coordination
Mechanism with Credit Option
Contract Considering
Backordered Demand of
Customer

Kai-Way Li
Paolo Trucco

Abstracts: see page 59

Management Process Quality
and Safety at Organizational
Level (A Case Study at an
International Airport)

Mohammad Shahriari1, Lennie Edman1,
K. Hamdani1, Pedro Arezes2
1
Chalmers University of Technology,
Sweden2
University of Minho, Portugal

Emergency Exposure Limits for
Toxic Chemicals in Major
Hazard Installations of China
Hui Cui1
1
Hunan University of Science andTechnology, China

Optimal Risk Response Plan of
Project Risk Management
Amnon Gonen1
1
Holon Institute of Technology, Israel

Modeling a Constraint-based
Design Risk Management Tool:
An Empirical Study for
Collaborative Product Design

Reza Hasani1, Farid Khoshalhan1
1K. N. Toosi University of Technology, IranJian Ruan1, Sheng Feng Qin1
1
Brunel University, United Kingdom

An Effective Lean Supply
Inventory Management Modelusing VMI Hub

IT Can Improve Healthcare
Management for Patient Safety- Minimizing risk of bloodtransfusion with
Point-of-Act-System -Weidong Lin1
1
Temasek Polytechnic, Singapore

A New Approach in Supply
Chain Modeling

M. Pazoki1, Seyyed Mohammad Taghi
Fatemi Ghomi1, Fariborz Jolai2
1
Amirkabir University of Technology, Iran
2
University of Tehran, Iran

Masanori Akiyama1, Atsushi Koshio1
1
the University of Tokyo, Japan

Occupational Safety & Health(OSH) Performance of SMEs: A
Structured Framework
Enrico Cagno1, Guido Jacopo Luca
Micheli1, Celeste Jacinto2, Donato Masi1
1
Politecnico di Milano, Italy
2
Universidade Nova de Lisboa, Portugal

A Clustering Approach to the
Operational Resilience
Analysis of Key Resource
Supply Chains (KRSC): theCase of Fast Moving Consumer
Goods
Paolo Trucco1, David Ward2
1
Politecnico di Milano, Italy
2
JRC-ISPRA, Italy

Electrostatic Hazards of
Polypropylene Powders in the
Fluidized Bed Reactor

K.S. Choi1, K.T. Moon2, J.H. Chung2, X.
Bi3, J. R. Grace3
1
National Institute of Occupational Safety
and Health, Japan
2
Seoul National University of Science &Technology, South Korea
3
The University of British Columbia,
Canada20

Information Processing and Engineering

Technology and Knowledge
Management (1)Technology and Knowledge
Management (2)Thu, 8 Dec 11:00 - 12:30
Room: Jupiter II

Thu, 8 Dec 13:30 - 15:00
Room: Jupiter II

Thu, 8 Dec 15:30 - 17:30
Room: Jupiter II

Chairs:Chairs:Chairs:Bouchaib Bahli
Shieuhong Lin

Abstracts: see page 60

Coordinating
Time-Constrained Multi-Agent
Resource Sharing with Fault
Detection
Shieu-Hong Lin1
1
Biola University, United States

A Method for Identifying
Process Reuse Opportunities toEnhance the Operating Model
Marne De Vries1, Alta Van Der Merwe2,
Paula Kotze2, Aurona Gerber2
1
University of Pretoria, South Africa
2
CSIR Meraka Institute, South Africa

Dynamic Partitioning forEnterprise Applications

Martin Grund1, Jens Krueger1, Juergen
Mueller1, Alexander Zeier1, Hasso
Plattner1
1
Hasso-Plattner-Institute, Germany

Pitfalls of Information
Technology Management
Systems

Raj Siriram1
1
University of Witwatersrand, South Africa

Fuzzy Hierarchical Clustering
based on Fuzzy Dissimilarity
YaQiong Lv1, Carman Ka Man Lee1
1
Nanyang Technological University,
Singapore

A Comparison of Technology
Trajectories between the Global
and the United States in Smart
Grid
Siou-Zih Lin1, Ssu-Han Chen1,
Chun-Chieh Wang1, Dar-Zen Chen1
1
National Taiwan University, Taiwan

Chien-Liang Kuo
Suli Zheng

Abstracts: see page 61

Knowledge Management
Implementation: Analytic
Hierarchy Process Methodology
R. Kant1, A. Anand2, D. P. Patel1, M. D.
Singh2
1
Sardar Vallabhbhai National Institute ofTechnology, India
2
Motilal Nehru National Institute ofTechnology, India

Shared Resources, Capabilities
and Inclusive Growth of
Clustered SMEs: A Multiple
Case Study in China
Yilin Fan1, Guowei Wan1
1
Zhejiang Shuren University, China

Applying K-means Clusteringand Technology Map in Asia
Pacific-Semiconductors
Industry Analysis

Chin Yuan Fan1, M. F. Lai1, T. Y. Huang1,
C. M. Huang1
1
National Applied Research Laboratories,
TaiwanHarm-Jan Steenhuis
Mohammed-Aminu Sanda

Abstracts: see page 62

A Methodology for Tracking
the Impact of Changes in(re)Designing of the Industrial
Complex Product

Nattawut Janthong11King Mongkut's University of Technology
North Bangkok, Thailand

Dynamic Interactions between
Knowledge Creation andResource Mobilization in R&D
Management: A Case of the
Inkjet Innovation in JapanKen Hashimoto1, Shuzo Fujimura1
1
Tokyo Institute of Technology, Japan

Evaluation of the Sci-tech
Service Industry Based on
Factor Analysis - A
Demonstration Study of 30
Provinces in China

Hongtao Yang1, Huiling Huang1
1Harbin Engineering University, China

Roadmapping an Emerging
Technology in Clean Energy
Industry: A Case Study ofDimethyl Ether Development
in China

Using Methodologies to Embed
Knowledge into the
Information Systems
Development Process: An
Investigation into the IT Sector
in China

Structure of International
Research Collaboration in Windand Solar Energy

The Impact of Openness on
Innovation Performance ofChina's Firms: from the
Perspective of Knowledge
Attributes

Yuan Zhou1, Guannan Xu1, Jun Su1, Tim
Minshall2, Qiang Zhi1
1
Tsinghua University, China
2
University of Cambridge, United Kingdom

Ichiro Sakata1, Hajime Sasaki1, Toshihiro
Inoue1
1
The University of Tokyo, Japan

Younes Benslimane1, Zijiang Yang1
1
York University, Canada

Xiaoting Zhao1, Liang Liang1
1
Zhejiang University, China

Measurement andImprovement of Individual
e-Business Capability

Chui Young Yoon1, Byung Hwan Kim2
1
Chungju National University, South Korea
2
Korea Politec II College, South Korea

Relations between Corporate
Philanthropy and Antecedent
Variables: Based on the
Empirical Data
Xueying Tian1
1
Suzhou University of Science andTechnology, China

Key Performance Indicators for
Sustainable Manufacturing
Evaluation in Automotive
Companies
Elita Amrina1, Shari Mohd Yusof2
1
Andalas University, Indonesia
2
Universiti Teknologi Malaysia, Malaysia

21Facilities Planning and Management
Thu, 8 Dec 11:00 - 12:30
Room: Jupiter III
Chairs:Ching-Tsung Hung
Mahdi Bashiri

Abstracts: see page 63

A Fuzzy Set
Covering-Clustering Algorithm
for Facility Location Problem
Rashed Sahraeian1, Mohammad Sadeq
Kazemi2
1
Shahed University, Iran2
Shahid Bahonar University of Kerman,
Iran

The Scenario Based Regret and
Min-Max Regret Approach for
Location-allocation Model ofDistribution Center, with
Uncertain Parameters
Mahdi Bashiri1, Amir Moslemi1
1
Shahed University, Iran

Warehouse Storage
Assignment: the Case Study of
Camera and Lense
Manufacturer

Chompoonoot Kasemset1, C. Rinkham1
1
Chiang Mai University, Thailand

A Simulated Annealing for
Solving a Group Layout Design
Model of a Dynamic Cellular
Manufacturing System
Reza Kia , Reza
Tavakkoli-Moghaddam2, Nikbakhsh
Javadian3, Mohammad Kazemi3, Javad
Khorrami3
1Islamic Azad University, Iran
2
University of Tehran, Iran
3
Mazandaran University of Science andTechnology, Iran
1

A Multi-Period Facility
Location-Relocation Problem in
the Presence of a Probabilistic
Line Barrier

Mehdi Amiri-Aref , Nikbakhsh
Javadian1, Reza
Tavakkoli-Moghaddam2, M.Bahador
Aryanezhad3
1
Mazandaran University of Science &Technology, Iran
2
University of Tehran, Iran
3
Iran University of Science and Technology,
Iran
1

Engineering Economy and Cost Analysis
Thu, 8 Dec 13:30 - 15:00
Room: Jupiter III
Chairs:Chia-Liang Hung
Corrado lo Storto

Abstracts: see page 64

Production System with
Respect for Variable Quantities
for an Economical Electric
Vehicle Production
G. Schuh1, Achim Kampker1, Peter
Burggraf1, Carsten Nee1
1
University of Aachen, Germany

Cost-effective Planning ofEnergy-measurement-systems
Egon Mueller1, Markus Buschmann2,
Kai-Uwe Wonneberger2
1
Chemnitz University of Technology,
Germany2
Volkswagen AG, Germany

A Review on Models andPractical Methods for Economic
Evaluation of Occupational
Safety and Health (OSH)
Enrico Cagno1, Guido Jacopo Luca
Micheli1, Donato Masi1, Celeste Jacinto2
1
Politecnico di Milano, Italy
2
Universidade Nova de Lisboa, Portugal

Survey on Energy Efficiency
Measurements in Heterogenous
Facility Logistics Systems

Christian Prasse1, Andreas Kamagaew1,
Sebastian Gruber2, Kathrin
Kalischewski1, Stefan Soter2, Michael ten
Hompel3
1
Fraunhofer Institute for Material Flow andLogistics, Germany
2
University of Wuppertal, Germany
3
TU Dortmund University, Germany

Benchmarking in the PublicService Industry: The Italian
Water Service Management
SectorCorrado lo Storto1
1
University of Naples Federico II, Italy

Agent-Based Simulation of
Economic Sustainability in
Waste-to-Material Recovery

Q.Z. Yang1, Y.Z. Sheng2, Z.Q. Shen2
1
Singapore Institute of Manufacturing
Technology, Singapore
2
Nanyang Technological University,
Singapore

Service Innovation and Management
Thu, 8 Dec 15:30 - 17:30
Room: Jupiter III
Chairs:Suhaiza Zailani
Stephen Zhang

Abstracts: see page 65

The Activities and Typologies
in Service Innovation Design
and Deployment:A
Socio-Technical Perspective on
University Based Living Lab

Hung Chih Lai1, Kae Kuen Hu2, Li Wei
Chen2
1
Shih Chien University, Taiwan
2
National Taiwan University, Taiwan

Service Quality, Brand Imageand Price Fairness Impact on
the Customer Satisfaction and
Loyalty
Chi-Chuan Wu1, Shu-Hsien Liao2,
Yin-Ju Chen2, Wei-Lun Hsu1
1
University of Tatung, Taiwan
2
Tamkang University, Taiwan

The Feasibility of System
Dynamic Modeling in Value
Assessment of Industrial
Services

Ville Ojanen1, Samuli Kortelainen1,
Sakari Hyppanen2
1
Lappeenranta University of Technology,
Finland2
Capgemini Finland, Finland

Intermediating R&D andMarketing Value Creation by
Open Innovation
Shu Wang1, Jin Chen1, Fang Xie1
1
Zhejiang University, China

The Connection Between
Customer Value Creation andInnovation Strategy: A
Proposed Framework and Its
Implication in Fashion
Products

Chien-Liang Kuo1, Chien Chiang Lin2,
Yen-Kwan Wu3
1Chinese Culture University, Taiwan
2
Shih Hsin University, Taiwan
3
Industrial Technology Research Institute,
TaiwanService Innovation for the User
Interface of an ATM Catering to
the Needs of the Student
Community
Girish Krishnan1, Sanjay Kumar1, Jithin
C.R.1, Vinay V. Panicker1, R Sridharan1
1
National Institute of Technology Calicut,
India

Adoption of New Service
Development Tools in the
Financial Service Industry

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

Identification of Best Practices
to Achieve Innovation,
Corporate Entrepreneurshipand Spinoff in Chilean
Companies
Alfonso Bastias1, Patricio Cortes1
1
Universidad del Desarrollo, Chile

22

Poster Session 2

p.67

Thu, 8 Dec
Room: Venus III
p.66

Application of Fuzzy
Mathematical Programming to
Optimize an Integrated
Production-distribution
SystemFardin Ahmadizar1, Mehdi Zeynivand1
1
University of Kurdistan, Iran

p.66

Supplier Development: a
Decision Making Problem

Zahra Sharafi , Jamshid Parvizian
1
MAPNA Group, Iran
2
Isfahan University of Technology, Iran
1

p.66

p.66

Arena Simulation Model for
Multi Echelon Inventory
System in Supply Chain
Management
Kunal Patil , Kai Jin , Hua Li
1
Texas A&M University-Kingsville,
United States
1

p.67

p.67

p.67

p.66

A Simulation Comparison
Analysis of Effective Pallet
Management Scenarios

p.68

Does Topology Matter? Land
Price and Road Network
Satoru Yamamoto1, Yuya Kajikawa1
1
The University of Tokyo, Japan

p.67

Market Information, Scope
Economies, and Make-or-Buy
Decision under Information
Asymmetry
Suxiu Xu1, Qiang Lu1, Xiaoming Hu1
1
Harbin Institute of Technology, China

p.67

Developing a New
Consumption Experience Scale
for Taiwanese Fine Foods
CultureChing-Yu Lien1, Shu-Hwa Hsiao1
1
Minghsin University of Science andTechnology, Taiwan

A Multi-Objective Identical
Parallel Machine Schedulingwith Setup and Removal Times
with Deteriorating and
Learning Effects
Alireza Amini , Reza
Tavakkoli-Moghaddam1, Fardad
Niakan1
1
University of Tehran, Iran

p.68

p.68

p.68

p.69

Examination of theEffectiveness and Robustnessof the Heuristics for Bay-based
Quay Crane Scheduling
Problem in Port Container
Terminals
Jiang Hang Chen1, Stephen Zhang2,
D.H. Lee1
1
National University of Singapore,
Singapore
2
Pontifical Catholic University of Chile,
Chile

Full Service Vehicle
Manufacturing: Rise and Fall

Alan Pilkington1, Luciano Ciravegna11
University of London, United Kingdom

p.69

A Prescriptive Approach toUnderstand Customer Needs
Using Value-focused Thinking
Xinwei Zhang1, Guillaume Auriol1,
Claude Baron1
1
University of Toulouse, France

p.69

Investment Center Framework

p.69

Robustness and Reliability
Consideration in Product
Design Optimization Under
Uncertainty

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

Xiaotian Zhuang1, Rong Pan1, Lizhi
Wang2
1
Arizona State University, United States
2
Beihang University, China

p.69

Roohollah Milimonfared1, RomeoMarian1, Zeinab Hajiabolhasani1
1
University of South Australia, Australia

p.68

Innovation Risk-utility
Pathway Method Applied to
Dye-sensitized Solar Cells

Ying Guo1, Xuefeng Wang1, Donghua
Zhu1
1
Beijing Institute of Technology, China

Genetic Algorithms and theCutting Stock Problem

A Genetic Algorithm
Approach for Modelling andOptimisation of MAJSP- Part
II:GA Operators and Results

Composing a Technology
Delivery System for an
Emerging Energy Technology:
The Case of Dye-SensitizedSolar Cells
Ying Guo1, Xuefeng Wang1, Donghua
Zhu1
1
Beijing Institute of Technology, China

Mohsin Malik1, John Taplin1, Min Qiu1
1
University of Western Australia,
Australia

p.68

Project Management for SmallWind Turbines: anExperimental Survey on
Activities, Lead Times andRisks
Marcello Fera1, Roberto Macchiaroli1,
Salvatore Miranda21Second University of Naples, Italy
2
University of Salerno, Italy

1

Maria Grazia Gnoni1, Gianni Lettera1,
Alessandra Rollo1
1
University of Salento, Italy

p.67

p.68

Simulation-Assisted
Estimation of Failure Models
with Stochastic Hazard Rates
Ke Sun1, Songlin Chen1, Zhang Wu1
1
Nanyang Technological University,
Singapore

Stability of Production Lines
with Multiple Delays

Omar Kallel1, Ines Ben Jaafar1, Lionel
Dupont2, Khaled Ghedira1
1
Universite de Tunis, Tunisia
2
Universite de Toulouse, France

Redundancy Allocation for
Series-Parallel Warm-Standby
Systems

O. Tannous1, L. Xing1, P. Rui2, Min Xie2,
S.H. Ng2
1
University of Massachusetts, UnitedStates2
National University of Singapore,
Singapore1

Fuzzy Guidance Strategies for
Fair Multi-Agent Negotiationof Wholesale Price Contracts

The Impacts of Common Cause
Failures for Two-Unit Parallel
Systems from RAMS+C Pointof View

Improving Dispatch
Operations in Complex
Courier Organizations

Laura Paulina Lara Avila1, Fatos Elezi2,
Maria Caridi3, Udo Lindemann2
1
Daimler, Mexico
2
Technische Universitat Munchen,
Germany
3
Politecnico di Milano, Italy

Chun-Yuan Cheng1, Min Wang1, Bee
Leng Lee2
1
Chaoyang University of Technology,
Taiwan2
San Jose State University, United States

Narthan Cemal Saadet1, Ali Fuat
Ergenc1
1Istanbul Technical University, Turkey

p.66

The ADT Evaluation Method
Based on MCMC

p.68

Lizhi Wang1, Xiaoyang Li1, Tongmin
Jiang1, Xiaotian Zhuang2
1
Beihang University, China
2
Arizona State University, United States

A Model for Evaluating Lean,
Agile, Resilient and Green
Practices Interoperability in
Supply Chains

1

p.66

p.67

Application of Fuzzy-AHP
Extent Analysis for Supplier
Selection in an Apparel
Manufacturing Organization

Pedro Espadinha-Cruz1, Antonio
Grilo1, Rogerio Puga-Leal1, Virgilio
Cruz Machado1
1
Universidade Nova de Lisboa, Portugal

p.66

Chia-Wei Hsu1, S. H. Chen2,
Cherng-Ying Chiou3
1Tungnan University, Taiwan
2
National Taipei University of Technology,
Taiwan3Overseas Chinese University, Taiwan

2

Mohammad Mahmudur Rahman1,
Kazi Badrul Ahsan1
1Khulna University of Engineering andTechnology, Bangladesh

A Model for Carbon
Management of Supplier
Selection in Green Supply
Chain Management

System Dynamics Modelingfor EFQM Excellence Model:
Case Study of a Regional
Electricity Company in Iran

Mohammad Dehghani Saryazdi1,
Kazem Noghondarian2, Mohammad
Saleh Owlia1, Jamal Hosseini Azabadi2
1
Yazd University, Iran
2
Iran University of Science andTechnology, Iran

p.69

Control Chart for Monitoring
Dependent Binomial Processes
Tsen-I Kuo1, Cheng-Shih Lin1,
Tung-Tsan Chen1, Hsin-Hua Hung1
1
National Quemoy University, Taiwan

p.69

System Integration Issues –Causes, Consequences &Mitigations

Adalberto Coelho Silva1, Geilson
Loureiro1
1
National Institute for Space Research,
Brazil23

p.69

Process Cascade- andSegmentation-Based
Organizational Design: A Case
Study

Markus Kohlbacher1, Doris Weitlaner1
1
University of Applied Sciences CAMPUS
02, Austria

p.70

Determining Economic
Manufacturing Quantity, theOptimum Process Parameters
Based on Taguchi Quadratic
Quality Loss Function Under
Rectifying Inspection Plan
Ismail Al-Me'raj1, Yahya Cinar1, Salih
Duffuaa1
1
King Fahd University of Petroleum andMinerals, Saudi Arabia

p.70

Identifying Quality
Improvement Opportunities ina Manufacturing Enterprise
Stanley Fore11
Cape Peninsula University of Technology,
South Africa

p.70

An EWMA –Based Method for
Monitoring Polytomous
Logistic Profiles

Hamidreza Izadbakhsh1, Rassoul
Noorossana1, Marzieh Zarinbal2, Amir
Zarinbal3, Mohammad Reza Safaian4,
Majid Chegeni5
1
Iran University of Science andTechnology, Iran2
Amirkabir University of Technology, Iran
3
University of Waterloo, Canada
4
Expert of Water and Wastewater
Company, Iran5
Azad Islamic University, Iran24

E-Business and E-Commerce

Manufacturing Systems (2)Quality Control & Management (2)Fri, 9 Dec 08:30 - 10:30
Room: Venus I

Fri, 9 Dec 11:00 - 13:00
Room: Venus I

Fri, 9 Dec 08:30 - 10:30
Room: Venus II

Chairs:Chairs:Chairs:Charles Mbohwa
Pei-Lee Teh

Abstracts: see page 71

Abstracts: see page 72

A Procurement Model in an
Electronic Market with
Coordination Costs

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

E-business and E-commerce
Applications and Trends in the
Retailing Sector in Zimbabwe
Charles Mbohwa1, Batanai Sammie2
1
University of Johannesburg, South Africa
2
University of Zimbabwe, Zimbabwe

MOA and TRA in Social
Commerce: An Integrated
Model

Pei-Lee Teh1, Pervaiz Khalid Ahmed2
1
Multimedia University, Malaysia
2
Monash University, Malaysia

The Effects of Psychological
Factors on Online Consumer
Behavior
Shu-Hsien Liao1, Yu-Chun Chung1
1Tamkang University, Taiwan

The Research on Relationships
between Customers' Perceived
Value and Repurchase
Intention

Yiming Xiang1, Lili Li2, Xin Zhong3
1
ZheJiang Gongshang University, China
2
the University of Manchester, United
Kingdom3
the University of Bridgeport, United States

Information Architecture forOnline Review System

G. Rajesri1, P. Laras Ayutirta1
1
Bandung Insitute of Technology, Indonesia

DMTT - An Approach for
Business Document Mapping
and Transformation in B2B
Collaboration

Wen Jing Yan , Chong Minsk Goh ,Puay Siew Tan1, Valliappan Ramasamy1
1Singapore Institute of Manufacturing
Technology, Singapore
1

Elesandro Baptista

1

Influencing Factors ofConsumer Intention towards
Web Group Buying

Guobiao Xie1, Jie Zhu1, Qiang Lu1, Suxiu
Xu1
1
Harbin Institute of Technology, China

A Two-Stage M/G/1 Queue with
Discretionary Priority
Zhaotong Lian1, Ning Zhao2
1
University of Macau, China
2
Kunming University of Science andTechnology, China

Heuristic Algorithm for
Two-sided Assembly Line
Balancing Problem with
Multi-objectives

Xiaofeng Hu1
1
Shanghai Jiao Tong University, China

Considering Decision Maker
Ideas in Product Mix Problems
by Goal Programming
Fahimeh Tanhaie1, Nasim Nahavandi1
1
University of Tarbiat Modarres, Iran

Optimization of Multi-skilled
Operator Allocation to
Minimize Inventory WaitingTime
Adam Brown1, Fazleena Badurdeen1
1
University of Kentucky, United States

Application of Data Mining
Techniques to Monitor the
Network-controllable Robot's
Performance

James Yongjin Kwon1, Yongmin Park1,
Jungwan Hong1
1
Ajou University, South Korea

Average Flow Time Estimationof Jobs in a Flexible
Manufacturing Cell Consistingof a Number of Identical
Machines
Jannes Slomp1, Jos A.C. Bokhorst1,
Rahul Caprihan2
1
University of Groningen, Netherlands
2
Dayalbagh Educational Institute, India

Numerical Simulation andExperimental Verification ofElectrode Life for Different
Coolants and Its Flow in Plasma
Cutting Torch
M. Senthil Kumar1, B. Dhanasekar2, G.
Ranga Janardhana1, S. Paramasivam3, K.
S. Jaya Kumar4
1
Jawaharial Nehru Technological
University, India
2
General Motors, India
3
ESAB India Ltd, India
4
S.S.N College of Engineering, India

Jianjun Wu
Zhang Wu

Abstracts: see page 73

Optimization of Multiresponse
Problems using Process
Capability Index for Batch
Manufacturing Processes
Amirhossein Amiri1, Mahdi Bashiri1,
Hamed Mogouie1
1Shahed University, Iran

Implementation ofEnvironmental Management in
the Austrian Transport Sector –Do Manager’s Attitudes
Matter?
Elmar Furst1, Peter Oberhofer11Institute of Transport and Logistics
Management, Austria

Email Network Analysis for
Leadership

Hisato Tashiro1, Antonio Lau1, Junichi
Mori1, Nobuzumi Fujii2, Yuya Kajikawa1
1
The University of Tokyo, Japan
2
Waseda University, JapanTQM Organizational
Development for a Global
Manufacturer

Kiyoshi Suzuki1, Hisato Tashiro2,
Nobuzumi Fujii3, Masayoshi Ushikubo1,
Ichiro Sakata2
1
Sanden Corporation, Japan
2
The University of Tokyo, Japan
3
Waseda University, Japan

Process Capability Analysis for
Non-normal Distribution withLower Specification Limit

Duygu Korkusuz1, Hendry Raharjo1, Bo
Bergman1
1
Chalmers University of Technology,
SwedenSynthetic-np Chart for
Attributes

Salah Haridy1, Zhang Wu1
1
Nanyang Technological University,
SingaporeControlling Non-conformities
Propagation in Manufacturing.
Case Study in an
Electromechanical Assembly
Plant
Valerie Fiegenwald1, Samuel Bassetto2,
Michel Tollenaere1
1
Laboratoire GSCOP, France
2
Ecole Polytechnique de Montreal, Canada

An Events-driven Scheduling
Algorithm for Two-cluster
Tools with Processing Time
Windows
Xin Li1, Richard Y. K. Fung1, Hongyi
Sun1
1City University of Hong Kong, China

An Efficient Tabu Search
Approach to Determine Cell
Formation Problem with
Consideration of Cell Layout
Chia-Ching Lin1, Chin-Chih Chang2,
Feng-Chia Li2
1
Yu Da University, Taiwan
2
Jen-Teh Junior College of Medicine,
Nursing and Management, Taiwan

25

Quality Control & Management (3)Reliability and MaintenanceEngineering (1)Reliability and MaintenanceEngineering (2)Fri, 9 Dec 11:00 - 13:00
Room: Venus II

Fri, 9 Dec 08:30 - 10:30
Room: Jupiter I

Fri, 9 Dec 11:00 - 13:00
Room: Jupiter I

Chairs:Chairs:Chairs:Ayon Chakraborty
Mahdi Bashiri

Abstracts: see page 74

Om Prakash Yadav
Jayantha Prasanna Liyanage

Abstracts: see page 75

Profile Monitoring for Poisson
Responses
Amirhossein Amiri , Mehdi Koosha ,Armaghan Azhdari2
1
Shahed University, Iran2
Payam Noor University, Iran1

1

The Effect of an Additional
Observation on Covariance
Structure

Maman Djauhari
1
Universiti Teknologi Malaysia, Malaysia
1

Effect of Seemingly Unrelated
Regression-based ModelingApproach on Solution Quality
for Correlated Multiple
Response Optimization
Problems
Sasadhar Bera1, Goutam Barman1,
Indrajit Mukherjee1
1
Indian Institute of Technology, India

Heuristic and Metaheuristic
Structure of Response Surface
Methodology in Process
Optimization
Mahdi Bashiri , Farshid Samaei
1Shahed University, Iran1

1

The impact of Tolerance Limiton Cost of Quality

Mohamed K. Omar1, Sharmeeni
Murugan2, Rohana Abdullah3
1
Nottingham University Malaysia,
Malaysia
2
Multimedia University Melaka (MMU),
Malaysia
3
Universiti Teknikal Malaysia Melaka,
Malaysia

Decision-making in Process
Design Based on Failure
Knowledge
Wei Dai1, Jun Yang1
1
Beihang University, China

Economic Process Control for
Multivariate Quality
Characteristics with Hotelling's
T-squared Charts underGamma Shock Model
Feng-Chia Li1, Peng-Kai Wang2, Li-Lon
Yeh2, Sheng-Wen Hong2
1
Jen-Teh Junior College of Medicine,
Nursing and Management, Taiwan
2
Hwa Hsia Institute of Technology, Taiwan

Abstracts: see page 76

Integration of MaintenanceStategies for Improved Asset
Reliability and Availability

Reliability of Surveillance
Mission with Unmanned Aerial
VehiclesIncreasing Availability of
Production Systems in Robust
Layouts via Assignment ofMaintenance Resources

Reliability-based Robust
Design Optimization: A
Comparative Study

N. K. K. Prasanna1, Shakti Akula1,
Tushar N. Desai2
1
Reliance Industries Ltd., India
2
National Institute of Technology, India

Majid Bazrafshan1, Shahrzad
Nikghadam1, Shaomin Wu2
1
University of Tabriz, Iran2
Cranfield University, United Kingdom

Reuse Oriented Group
Maintenance Scheduling Basedon Hybrid Genetic Algorithm
and Tabu Search
Jihong Yan1, Dingguo Hua1, Zimo
Wang1
1
Harbin Institute of Technology, China

State Space Model Based
Reliability and Sensitivity
Analysis for Multistage
Manufacturing Process

Faping Zhang1, Aiqing Chen2, HongJing3, Yan Yan1, Hanbo Qian4
1
Beijing Institute of Technology, China
2
Jiaozuo Normal College, China
3
Shanxi Diesel Engine Co. Ltd, China
4Center of Coordination & Support of
Costind, China

Software Reliability Modellingand Optimization for
Multi-release Software
Development Processes

Qingpei Hu1, P. Rui2, Min Xie2, S.H. Ng2,
Gregory Levitin3
1
Chinese Academy of Sciences, China
2
National University of Singapore,
Singapore
3
The Israel Electric Corporation Ltd., Israel

Multi Up-gradation Software
Reliability Growth Model with
Faults of Different Severity
Amir Hossein Soleiman Garmabaki1,
Anu.G Aggarwal2, Pramod Kumar
Kapur2
1
Islamic Azad University, Iran
2
University of Delhi, India

Performance-based Burn-in for
Products Sold with Warranty
Zhisheng Ye1, Loon Ching Tang1, Min
Xie1
1
National University of Singapore,
Singapore

System Dynamics Simulation
for Constructing MaintenanceManagement of Ship
Machinery

Dhimas Handani1, Kenji Ishida1,
Shintaro Nishimura1, Surya Hariyanto1
1
Kobe University, Japan

26

Faping Zhang
Qingpei Hu

Kien Ming Ng1, Jun Jiang1, Rui Peng1,
Kim Leng Poh1, Kwong Meng Teo1
1
National University of Singapore,
Singapore

Vijay Rathod1, Om Prakash Yadav2, Ajay
Pal Singh Rathore1, Rakesh Jain1
1
Malaviya National Institute of Technology,
India
2
North Dakota State University, UnitedStatesExploring Impacts of Single
Failure Propagation between
SCADA and SUC
Cen Nan1, Irene Eusgeld1
1
ETH Zurich, Switzerland

Human Factor in Maintenance
Performance Measurement
Diego Galar1, Christer Stenstrom1,
Aditya Parida1, Rupesh Kumar1, Luis
Berges2
1
Lulea University of Technology, Sweden
2
University of Zaragoza, Spain

A Maintenance Service
Contract for A Warranted
Product

Hennie Husniah1, Udjianna S. Pasaribu2,
Abdul Hakim Halim2, Bermawi
Iskandar2
1
Bandung Institute of Technology,
Langlangbuana University, Indonesia
2
Bandung Institute of Technology, Indonesia

Expert-Based FMEA of Wind
Turbine System

Milton Kumar Das1, Subhash Chandra
Panja2, Sunetra Chowdhury3,
Shyamapada Chowdhury3, Andreas I
Elombo4
1
Indian Maritime University, India
2
Jadavpur University, India
3
University of Cape Town, South Africa
4
University of Stellenbosch, South Africa

Condition-based Maintenancefor Systems Under Dependent
Competing Failures
Liangpen Chen1, Zhisheng Ye1, Boray
Huang1
1
National University of Singapore,
Singapore

Technology and Knowledge
Management (3)Technology and Knowledge
Management (4)Systems Modeling and Simulation (1)Fri, 9 Dec 08:30 - 10:30
Room: Jupiter II

Fri, 9 Dec 11:00 - 13:00
Room: Jupiter II

Fri, 9 Dec 08:30 - 10:30
Room: Jupiter III

Chairs:Chairs:Chairs:Ichiro Sakata
Chin Yuan Fan

Abstracts: see page 77

Abstracts: see page 78

A Model for Linking
Knowledge Management
Strategies, Critical Success
Factors, Knowledge
Management Practices andOrganizational Performance;
the case of Iranian Universities
Afarin Akhavan1, Mohammad Saleh
Owlia1, Mostafa Jafari2, Yahya Zare1
1
Yazd University, Iran
2
Iran University of Science & Technology,
Iran

Identifying Mapping
Relationships between
Functions and Technologies: an
Approach based on Association
Rule Mining
Linda Zhang1, Roger Jiao2
1
IESEG School of Management, France
2
Georgia Institute of Technology, UnitedStatesRanking of Technology
Transfer Barriers in Developing
Countries; Case Study of Iran's
Biotechnology Industry

Khashayar Yazdani1, Kourosh Yazdani
Rashvanlouei2, K. Ismail1
1
University Technology Malaysia, Malaysia
2
Sharif University of Technology, IranManaging Supply Chain
Knowledge in the New ProductDevelopment Process: a Social
Network Analysis Approach
Marianna Marra1, William Ho1, John S.
Edwards1
1
Aston University, United Kingdom

An Ontological Approach for
Program Management Lessons
Learned: Case Study at
Motorola Penang Design
CentreYu-N Cheah1, Soo Beng Khoh2, Ghee
Beng Ooi2
1
Universiti Sains Malaysia, Malaysia
2Motorola Technology Sdn. Bhd, Malaysia

Optimization of a
Knowledge-based System by aMeta-heuristic Approach for
the Automotive Diagnosis
Armin Azarian1, Ali Siadat1, Patrick
Martin11
Arts et Metiers ParisTech, France

Defining Technology
EntrepreneurshipMarkus Spiegel , Christian Marxt
1
University of Liechtenstein, Liechtenstein
1

Chui Young Yoon
Chien-Liang Kuo

1

Towards the Integration ofTechnological, Organizationaland Human Subsystems ofOrganizations to Enhance
Productivity
Mohammed Aminu Sanda1, Jan
Johansson1
1
Lulea University of Technology, Sweden

Identification andClassification of Human Error
in Process Model Development
Alexander Nielen1, Denise Kolter1,
Susanne Mutze-Niewohner1,
Christopher M. Schlick1
1
RWTH Aachen University, Germany

Technological Capability
Building in Network
Environments: the Moderating
Effects of Governance Structure
Suli Zheng1, Zengyuan Wu1
1
China Jiliang University, China

Open Innovation in Chinese
High-tech Enterprises: An
Empirical Research Based onZhejiang Province
Fang Liu1, Gang Zheng1
1
Zhejiang University, China

The Paradoxical Property ofKnowledge in Organizations
J. Ajith Kumar1
1
T. A. PAI Management Institute, India

Technology Manager's Radar
Screen: Monitoring
Competitors' Innovation
Performance
Chung-Huei Kuan1, Huei-Ru Dong1,
Mu-Hsuan Huang1, Dar-Zen Chen1
1
National Taiwan University, Taiwan

The Impact of Absorptive
Capacity on the Ex-Post
Adoption of Agile Methods:
The Case of Extreme
Programming Model

Bouchaib Bahli1, Younes Benslimanne2,
Zijiang Yang2
1
ESC-Rennes School of Business, France
2
York University, Canada

Technology, Quality and Tradein the Apple Industry
Kayla Lopuch1, Laura Syrett1, John
Conrad1, Harm-Jan Steenhuis1
1
Eastern Washington University, UnitedStatesVille Ojanen
Maria Grazia Gnoni

Abstracts: see page 79

A Robust-Gain-Scheduled
Methodology for Process
Parameter Design and Control
with Application to a
Carbonated Beverage Filling
Process
Abdul-Wahid A. Saif1, Muneeb A.
Akram1
1King Fahd University of Petroleum &Minerals, Saudi Arabia

Design and Modeling of
Roll-to-Roll Manufacturing
System Using Simulation
Techniques

Laura Xiao Xia Xu1, Chin Wei Gan1,
Feng Yu Wang1, Ma Bin1, Roland Lim1
1
Singapore Institute of Manufacturing
Technology, Singapore

Design of Comminution
Circuits for Improved
Productivity Using a
Multi-Objective Evolutionary
Algorithm (MOEA)

Samson Mhlanga1, Jabulani Ndlovu2,
Charles Mbohwa1, Michael Mutingi3
1
University of Johannesburg, South Africa
2National University of Science andTechnology, Zimbabwe
3
National University of Singapore,
Singapore

Systems Thinking for
Modeling Risk Propagation in
Supply Networks
Abhijeet Ghadge1, Samir Dani1, Roy
Kalawsky1
1
Loughborough University, United
Kingdom

A UML Approach for the
Design of Reconfigurable
Manufacturing Simulation
ModelsHossam S. Ismail1, Voon S. Tey1, Lina
Wang1, Jenny Poolton1
1
The University of Liverpool, United
Kingdom

Bayesian Calibration of
Stochastic Computer Models
Jun Yuan1, S.H. Ng1
1
National University of Singapore,
Singapore

Wafer Lot Release Policies
Based on the Continuous andPeriodic Review of WIP Levels

Khaled S. El-Kilany1
1
Arab Academy for Science, Technology, andMaritime Transport, Egypt

A Framework for Solving the
Optimal Display Quantities
with Equality Constraint

Takuya Suganuma1, Hiroyuki Goto2
1
Nagaoka University of Technology, Japan
2
Hosei University, Japan27

Systems Modeling and Simulation (2)Fri, 9 Dec 11:00 - 13:00
Room: Jupiter III
Chairs:Arun Kumar
Carman Lee

Abstracts: see page 80

Principles for Modelling
Business Processes

Antonie van Rensburg1
1
University of Pretoria, South Africa

Resolution of Resource Conflictin a Max-Plus Linear
Representation -Case of aSingle ProjectShotaro Yoshida1, Hirotaka Takahashi2,
Hiroyuki Goto3
1
Nagaoka University of Technology, Japan
2
Yamanashi Eiwa College, Japan
3
Hosei University, Japan

A Queuing System with
Risk-Averse Customers:
Sensitivity Analysis of
Performance

Carlos Arturo Delgado1, Ann van
Ackere1, Erik Larsen2
1
University of Lausanne, Switzerland
2
University of Lugano, Switzerland

Balancing Multi-robot
Prioritized Task Allocation: aSimulation Approach

M. Elango1, S.P. Nachiappan1
1
Thiagarajar College of Engineering, India

Modeling Patient Visits to
Accident and Emergency
Department in Hong Kong

M. Xu1, T. C. Wong1, K. S. Chin1, S. Y.
Wong1, K. L. Tsui1
1
City University of Hong Kong, China

Evaluation of a Supply Chain
Performance Using a Fuzzy
Decision Support System

Isabel L. Nunes1, Sara Figueira1, Virgilio
Cruz Machado1
1
Universidade Nova de Lisboa, Portugal

Assessing Quality of
Manufacturing Organizations A Graph Theoretic Approach

Mohit Singh1, I.A. Khan2, Sandeep
Grover3, S.C. Gupta1
1
Northern India Engineering College, India
2
Jamia Millia Islamia, India
3
YMCA University of Science &Technology, India

On Storage Capacity Poolingthrough the Supply Hub inIndustrial Park (SHIP): The
Impact of Demand Uncertainty
Xuan Qiu1, George Q. Huang1
1
The University of Hong Kong, China

28

Poster Session 3

p.82

Fri, 9 Dec
Room: Venus III
p.81

Efficiency Improvement on Job
Scheduling by Using Genetic
Algorithm: A Case Study inElectronic Industry

Process Family Planning: a
Methodology Integrating PetriNets and Knowledge-based
Systems
Linda Zhang1, Qianli Xu2
1
IESEG School of Management, France
2
Institute for Infocomm Research,
A*STAR, Singapore

p.81

p.82

p.81

p.81

p.81

Data Pre-Processing by
Genetic Algorithms for
Bankruptcy Prediction

Chih-Fong Tsai , Jui-Sheng Chou
1
National Central University, Taiwan
2
National Taiwan University of Scienceand Technology, Taiwan
1p.81

To Form a Smaller World in the
Research Realm of
Hierarchical Decision Models

p.82

p.82

Study of Deformation andCompensation for Ram-Quill
Type Spindle

Chia-Hui Tang1, Ching-Feng Chang1,
Tsair-Rong Chen1
1
National Changhua University of
Education, Taiwan

Performance Evaluation of
Knowledgeable
Manufacturing Systems Using
Petri Nets Considering
Dynamic Events
Youlong Lv1, Jie Zhang1
1
Shanghai Jiao Tong University, China

p.82

p.83

p.83

Identifying Critical Business
Rules Using Rough Set Theory
Mohamad Aghdasi1, Ehsan Malihi1,
Fatemeh Ghorbani1
1
Tarbiat Modares University, Iran

p.83

p.83

p.84

Towards Human Stability inTransport Systems
Philippe Richard1, Vincent Benard1,
Frederic Vanderhaegen2, Patrice
Caulier2
1
IFSTTAR, France
2
LAMIH, CNRS, France

p.84

Work Motivation and Job
Performance of Frontline
Employees: the Mediating Roleof Organizational
Commitment
Panagiotis Trivellas1
1
Technological Educational Institute of
Chalkis, Greece

p.84

The Human Factors Analysis
of Marine Accidents Based on
Goal Structure Notion
Tingting Dai1, Haiyan Wang1
1
Wuhan University of Technology, China

p.84

Situational Awareness Needs
for System Interaction Design

D'oria Rosli1, Azizah Abdul Rahman2,
Rose Alinda Alias2
1
Universiti Tun Hussein Onn Malaysia,
Malaysia
2
Universiti Teknologi Malaysia, Malaysia

p.84

A Design of 3D Modeling
Virtual Fitting Project forOnline Shopping

Pangli Zuo1, Yi Zhao2
1
Beijing Institute of Technology, China
2
Beijing University of Posts andTelecommunications, China

p.84

A Genetic Algorithm
Approach for Modelling andOptimisation of MAJSP- Part
I:Modeling

Roohollah Milimonfared1, RomeoMarian1, Zeinab Hajiabolhasani1
1
University of South Australia, Australia

Research on Rapid Design
Plan For Engine Based on
Human Factors Engineering

Han Yu1, Qing Xue1, Minxia Liu1
1
Beijing Institute of Technology, China

Confidence Interval
Estimation of Software
Reliability Growth Models
Derived from Stochastic
Differential Equations

Chih-Chiang Fang1, Chun-Wu Yeh2
1
Shu-Te University, Taiwan
2
Kun Shan University, Taiwan

p.83

p.83

Apply HLM to Analyze
Government Policies Influence
the Accessibility Of Sidewalks
Ching-Tsung Hung1
1
University of Kainan, Taiwan

A Branch and Cut Algorithm
for the Multi-Vehicle
One-to-One Pickup and
Delivery Problem with Split
Loads
Temel Oncan1, Dilek Tuzun Aksu2,
Guvenc Sahin3, Mustafa Sahin3
1
Galatasaray University, Turkey
2
Yeditepe University, Turkey
3
Sabanci University, Turkey

Using Bayesian Networks andImportance Measures toIndentify Tumour Markers for
Breast Cancer
Shubin Si1, Guanmin Liu1, Zhiqiang
Cai1, Peng Xia2
1
Northwestern Polytechnical University,
China
2
Xi'an Jiaotong University, China

Threat Evaluation Model ofTargets Based on Information
Entropy and Fuzzy
Optimization Theory
Li-Ying FENG1, Qing XUE1, Min-xia
LIU1
1
Beijing Institute of Technology, China

Planning Process Families witha Knowledge-based
System

A Framework Algorithm for a
Real-World Variant of the
Vehicle Routing Problem
Vu Pham1, Tien Dinh1
1
University of Science, Viet Nam

Designing an Integrated Order
Fulfillment System for
Configure-to-Order Production

Linda Zhang1, Qianli Xu2, Yongyi Shou3
1
IESEG School of Management, France
2
Institute for Infocomm Research,
A*STAR, Singapore
3
Zhejiang University, China

2

Bing Wang1, Xiaotian Yao1
1
Beijing University of Posts &Telecommunications, China

p.82

p.82

A Study on Audit Fees
Decision Making: Evidence
from China Stock Market

Xin Li1, Xiaobo Zhu2
1
Chongqing University of Technology,
China
2
Bridgestone Europe NV/SA (Belgium),
Belgiump.83

On The Development of
Adoption of Newer Successive
Technologies Using Stochastic
Differential Equation
P.C. Jha1, Kuldeep Chaudhary1, Anshu
Gutpa1
1
University of Delhi, India

Linda Zhang1, Qianli Xu2
1
IESEG School of Management, France
2
Institute for Infocomm Research,
A*STAR, Singapore

Research of Supplier Fuzzy
Evaluation Based on Customer
Satisfaction
Minghai Jiao1, Xueying Hong1, Ping
Yan2, Long Ren1
1
Northeastern University, China
2
Shenyang Aerospace University, China

p.81

p.82

Coordination Policies in
Product Development withReworkBingyin Bao1, Suxiu Xu1, Qiang Lu1
1
Harbin Institute of Technology, China

The Impact of Work Design
Concept on Manufacturing
Performance: A Process Sector
Case Study

Nimesha Vilasini1, Udaya
Kahangamage1, Janaka Gamage1,
Wathavana Vithanage Randika Kosala1
1
University of Moratuwa, Sri Lanka

Shifting Economic Bottleneck
Identification
Junqiang Wang1, Jian Chen1, Shuo
Wang1, Yingfeng Zhang1, Shudong
Sun1
1Northwestern Polytechnical University,
China

p.83

Shahrokh Hematyar1
1
MAPNA, Iran

Budtree Limwanich1, Rati Wongsathan1
1
North-Chiang Mai University, Thailand

p.81

Fuzzy Classification of Gas
Power Plant Spare Parts by
Combination Statistical
Classification Technique, SAW,
ABC Analysis

Achieving Platform
Leadership: Application of
Inverting and Porting in
System Development

Jerome Chih-Lung Chou1, Chia-Liang
Hung2, W. T. Li2
1
Hwa-Hsia Institute of Technology, Taiwan
2
Chi-Nan International University,
Taiwanp.84

Uncertainty Analysis on
Number of Fatalities in
Building Fires

Guanquan Chu1, Jinhui Wang2
1
Waterborne Transportation Institute,
Ministry of Transport, China
2
Shanghai Maritime University, China

29

p.84

Composable Correlation
Mining of Cloud Service inCloud Manufacturing
Hua Guo1, Lin Zhang1, Fei Tao1,
Zhiyun Ren1, Yongliang Luo1
1
Beihang University, China

p.85

Energy Adaptive Immune
Genetic Algorithm for
Collaborative Design Task
Scheduling in Cloud
Manufacturing System

Yuanjun Laili1, Lin Zhang1, Fei Tao1
1
Beihang University, China

p.85

Design of a Lean Development
Framework
U. Dombrowski1, Thimo Zahn1
1Technische Universitat Braunschweig,
Germany

p.85

Study on the Variation andSurvival Factors in theBusiness Evolution Process
Based on Organizational
EcologyJie Hou1, Qiang Lu1, Yongjiang Shi2
1
Harbin Institute of Technology, China
2
University of Cambridge, United
Kingdom

p.85

A New Practical Conformance
Testing Method Based onStandard
Zhou Jiang1, Li Zheng2, Fujiang Liu3,
Qing Xiang2
1
Tsinghua University, China National
Institute of Standardization, China
2
Tsinghua University, China
3
Zongdycyber Group Co. Ltd, China

30

Session

Date
Time
Room
Chairs

Decision Analysis & Methods (1)Wed, 7 Dec
11:00 - 12:30
Venus I
Krzysztof Ostaszewski, Amir Elalouf

Profitability Analysis Using Data Envelopment
Analysis-Discriminant Analysis: an Empirical Study
Hung-Tso Lin1, Yin-Chi Huang1
1
National Chin-Yi University of Technology, Taiwan

This paper addresses the profitability analysis of 31 chain stores
belonging to a hairdressing company in central Taiwan. Four factors
are adopted in the analysis with data of year 2010. The 31 stores areclassified to four groups according to their levels of return on
investment (ROI). The 31 stores are discriminated with apparent rate of
93.5% by a four-group data envelopment analysis-discriminant
analysis (DEA-DA) model. The discriminant results reveal that two
factors have positive effect for classifying a store to the group of high
ROI level, while two factors have negative effect. This empirical study
shows that DEA-DA is a suitable tool for the study company todiscriminate the ROI attained in last year and can reveal the
improvement aspects. Besides, the discriminant function obtained canbe used to predict the ROI level of the oncoming year.

Comparison of Neural Network and Regression Techniques
for Nonlinear Prediction Problems
Usha Anantha Kumar1, Mukta Paliwal1
1
Indian Institute of Technology Bombay, India

The aim of this study is to compare the predictive performance of feed
forward neural network with some of the regression models that arecapable of handling certain nonlinear prediction problems. Four reallife examples are considered in this study where the response variablebelongs to the exponential family of distributions and are modeledusing generalized linear models. Results point out the merit of using
appropriate regression models when the functional relationshipbetween the variables is known apriori.

A Decision Analysis on Flexible Scale of Green Logistics
under Limited Carbon Emission with Real Options Concept
Tyrone T. Lin1, Mong-Tien Chan11National Dong Hwa University, Taiwan

This paper aims at using quantified emission limitation as animportant indicator when choosing the most optimal scale. Under thelimitation of emission, transportation practitioners can buy theallowances from outside market or upgrade systems to conform thestandard. In this paper, the related green investment cost andtransportation price can be assessed, and the transportation service costthat originates from different scales is related to the expectedtransportation price. Under the above descriptions, this paper applies
the real options approach to individually find out the project values of
two stages and the most suitable timing to expand the scale. To
conclude, the key issue of this paper is to help transportation
practitioners to take balance between green economics and financial
economics.

Integration Model of Fuzzy C Means Clustering Algorithm
and TOPSIS Method for Customer Lifetime Value
Assessment

Amir Hossein Azadnia1, Muhamad Zameri Mat Saman1, Kuan Yew Wong1,
Abdul Rahman Hemdi2
1
Universiti Teknologi Malaysia, Malaysia
2
Universiti Teknologi Mara, Malaysia

Nowadays, companies should establish a long-term relationship with
their customers throughout customer relationship management (CRM).
In order to be a winner in the market competition, marketing managers
want to maximize customer lifetime value (CLV) and customer equity.
So, creating a customer value assessment system is obligatory forcompanies to identify customers’ value, develop strategies forcustomers’ segments, and preserve the high value for them. Commonly,
customer lifetime value is evaluated by RFM (recency, frequency andmonetary) method. In this paper a model for customer value
assessment integrated with multi-criteria decision making method andFuzzy clustering method based on customer purchasing behavior was
proposed. Fuzzy Analytical Hierarchy Process was utilized to calculate
the weight of RFM variables. Then, based on the weighted RFM values,
Fuzzy c-means clustering was used in order to cluster customers.
Finally, TOPSIS (Technique for Order Preference by Similarity to Ideal
Solution) has been employed to rank customer lifetime value. A casestudy was used to demonstrate the employment of the proposedmodel.

A Modified Algorithm to Find a Representative Capacitywith Evenness Consideration for Non-additive Robust
Ordinal Regression

Roghayeh Hemmatjou1, Nasim Nahavandi2, Behzad Moshiri3, I. Nakhai1
1
Tarbiat Modares University, Iran
2
University of Tarbiat Modarres, Iran
3
Tehran University, Iran

Non-additive robust ordinal regression (NAROR), uses primary
preferences of decision maker (DM) to define the necessary preference
relations (NPR) and possible preference relations (PPR) on alternatives
when all compatible fuzzy measures are taken into account andaggregation function is Choquet integral (CI). The question arises as
how these NPRs and PPRs can be used in capacity definition problem?
This article proposes an algorithm which uses these relations in finding
a capacity that is representative to DM and has also evenness property
to some extent. The methods based on maximizing evenness leads toresults that are not fully representative to DM, so this article improves
this drawback by focusing on representativeness of capacity and taking
into account capacity evenness by means of decision rules defined inalgorithm.

Established the Evaluation Structure of the Investment
Benefit of the "Doubling Tourist Arrivals Plan" in Taiwan
Huey-hsi Lo1, Pei-cheng Wen2
1
Aletheia University, Taiwan
2
Chung-Hua Institution for Economic Research, Taiwan

This study substantially established the evaluation structure of theinvestment benefit of the Doubling Tourist Arrivals Plan that was
divided into five systems including policy planning, government input,
international travelers market, domestic economic value and tourism
industry development. In addition, the evaluation dimension andsecondary dimension of various systems, evaluation indicators orcontent were set. In respect of the evaluation on the divisional plan andcorresponding importance of goal achievement of the subsidiary plan,
this research adopted the analytic hierarchy process and based on therequirement of the actual operation it was conducted in two stages. The
execution measures of the Doubling Tourist Arrivals Plan and the goal
connection strength indicators were established. Moreover, the analysis
was conducted on the appropriateness of the resource deployment.
Then the interview and investigation results were utilized to analyze
the appropriateness of the planning and execution of the Doubling
Tourist Arrivals Plan policy.

31

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (2)Wed, 7 Dec
13:30 - 15:00
Venus I
Yuya Kajikawa, Egon Mueller

Analyzing Newsvendor Problems by One-Shot Decision
Approaches with Considering Regret
Peijun Guo1, Yating Yang1
1
Yokohama National University, Japan

In this paper, a single-period inventory problem with partially known
demand information characterized by possibility distributions isanalyzed. Decision models are proposed based on one-shot decision
approaches where three choices with considering regret of decision areprovided. These three choices are used for determining which state ofnature (demand) should be considered for each order quantity. Basedon the selected states of nature (focus point), the optimal order
quantity is obtained. Different kinds of focus points (demands) lead todifferent results (optimal order quantities) which reflecting a decision
maker's attitudes about possibility of demand and regret of decision.

Simplification of Decision Making Matrix in Fuzzy Multiple
Attribute Decision Making
Zhi Pei1, Li Zheng2
1
Zhejiang University of Technology, China
2
Tsinghua University, China

In the multiple attribute decision making, the computational intensityof problems quickly increases with the number of attributes increases.
In this paper, we will introduce the simplification theory andtechnology of decision matrix in fuzzy multiple attribute decision
making, and propose an attribute reduction algorithm. The purpose ofthis algorithm is to find all of the simplest order-preserving attribute
subsets and the order-preserving attribute core of the corresponding
multiple attribute decision making problem. One of the simplest
orderpreserving attribute subsets will be exploited as a substitute of
the original attribute set. Thus the original multiple attribute decision
making problem could be simplified and unnecessary cost related to
redundant attributes could be saved. Finally, an illustrative numericalexample is given to demonstrate our approach. And through thisexample, a dissimilarity between the attribute reduction in decision
making and the knowledge reduction in rough set theory is
discovered.

A Petri Net Approach to Resource Allocation in Brand
Management Systems
Hongwei Liao1, Min Lu2
1
University of Michigan, Ann Arbor, United States
2
The Hong Kong Polytechnic University, China

Managing multiple brands within a single company is an increasingly
important trend in the market. This trend complicates the brandmanagement process. We propose a formal methodology to study
resource allocation in brand management systems using Petri nets.
Petri nets are a graphical modeling tool that is efficient incharacterizing the concurrency of dynamic systems. We focus on an
important class of brand conflict problems, known as deadlocks, which
are caused by resource contention among brands. Marketing mix
theory is employed to identify the resources that are critical to potential
deadlocks. The brand management system is modeled as a Petri net,
based on which we detect and prevent potential deadlocks via formal
analysis. The proposed approach can also be used to verify thedeadlock-freeness of a brand management system.

32

Optimal Determination of Simulated Annealing Parameters
using TOPSIS
Fateme Fotuhi1
1
University of South Carolina, United States

Efficiency of a Meta heuristic approach depends effectively on the rightand suitable choice of its parameters. Meta heuristics are used todevelop qualified feasible solutions. They are used while common
commercial soft wares can't find exact solutions in a logicalcomputational time. They are random approaches as different target
values might be gained during consecutive repetitions of the algorithm.
An appropriate set of parameters avoids the problem to produce
sporadic target values and controls the time to get coherent solutions.
TOPSIS (Technique for Order Preference by Similarity to Ideal) is oneof Multi Attribute Decision Making (MADM) approaches used indefining the best alternative in a complicated decision making problem
which is used here to set the parameters of a simulated annealing
algorithm in their suitable levels. This helps the algorithm to find goodsolutions besides controlling the time spent to get these values.

Merger and Acquisition Decisions Analysis with
Sustainability Operation Concept
Tyrone T. Lin1, Yi-Shun Huang1
1
National Dong Hwa University, Taiwan

Under the target of mergers & acquisitions (M&As), in addition toasking the traditional financial synergy of the maximization ofshareholder wealth objectives, it is also necessary to think the social
care and environmental commitment of social responsibility for thetrend of sustainable operation. This paper mainly uses themathematical model to evaluate how to decide M&As with thesustainability operation concept in the traditional financial economics.
In order to conform to the aspects of sustainability operation and theeconomical concept of M&As about sustainability operation, this paper
adopts the real options approach that estimates the reactions of Global
100 Passive Index to the M&As of corporate sustainability operation
between before and after M&As. Therefore, the key point in this model
is how to decide the appropriate timing of M&As, the threshold of themathematical model, and the analysis of M&As of corporate
sustainability operation between before and after M&As.

Simulation-Based Operational Decision Analysis at
Decoupling Point in MTS-MTO System

Feng Yu Wang1, Laura Xiao Xia Xu1, Ronald Lim1, E.W. Lee1, Michal
Zarzycki1
1
Singapore Institute of Manufacturing Technology, Singapore

MTS-MTO system combines make-to-stock and make-to-order in asequential manner and deliveries finished products in two steps. The
combination system can lower the cost by taking advantage of
economy of scale in MTS for standard semi-finished modules
production, and satisfy high product variety by taking advantage of
flexibility in MTO. But, its performance will drop when capacity isconstrained. We deal with the operational problem by evaluating two
joint operational decisions i.e. semi-finished module inventory policy
and order admission control, in a simulation model. The numericalresults suggest that both operational decisions have important
influence on system performance and the impacts of the decision areinterlinked. This paper extends current MTS-MTO system study fromstrategy focused to a new stage of concerning operational decisions.

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (3)Wed, 7 Dec
15:30 - 17:30
Venus I
Yves De Smet, Ching-Yu Lien

Applying Green Goodwill for Project Management on Green
Economics Concept
Tyrone T. Lin1, Wei-Cheng Wu1
1
National Dong Hwa University, Taiwan

The prosperous thinking of green environment has changed theperceptions of companies to recognize the whole business operational
environment, and how to the maximize stockholders' equity andsatisfy the pubic expectation simultaneously is an important subject
still waiting to be solved. This paper uses the real options approach toassess the project value reflected by the developing level of green
goodwill; each firm engages in complying different levels of market
demand, decides whether to invest in green capital, and evaluates thepotential strategy value of entering timing to be a leader or follower inthe market. This paper tries to start a preliminary analysis of green
economy issues, which will help sequent researches to develop therelated model and provide a reference of decision making in practice.

A Fuzzy-based Integrated Framework for Monitoring
Stochastic Demand in a Supply Chain Environment
Henry Lau1, Premaratne Samaranayake1, Dilupa Nakandala1
1
University of Western Sydney, Australia

This paper develops a Fuzzy-based Integrated Framework (FIF) that
responds to the risk of fluctuating demand in a supply chain
environment. It is a hybrid framework based on the fuzzy based
stochastic demand model and the integrated processes of supply chain
in enterprise resource planning (ERP) environment. This proposed FIF
can be used to adjust the rate of change of demand based on fuzzy
system reasoning, supported by real time inputs of the specificparameters and control data using integrated supply chain
processes/models in ERP system environment. Based on a cost effective
approach, this framework minimizes the total cost comprisinginventory and stock-out costs. Using a case study, we validate theproposed integrated framework in actual industrial settings anddiscuss the practical importance for supply chain management inresponding to uncertainties inherited in the operational environment.

A Multicriteria Decision Model for Managing Business
Processes
Ana Carolina Campos1, Adiel Almeida1
1Federal University of Pernambuco, Brazil

Nowadays companies recognize how important it is to manage theirprocesses so as to increase their productivity and improve the qualityof their products and operations. Managers play an important role inthis context since they should monitor and improve the processes thatare under their responsibility in order to create a competitive
advantage for their company. However they do not have the time
available to oversee all processes closely. This paper presents amanagement model based on Multicriteria Decision Aid (MCDA)
concepts in order to help managers plan their activities throughout theweek in order that they can dedicate themselves to the most criticalprocesses.

Reducing Violence: A Proposal Based on Multicriteria
SMARTS Method
Andre Gurgel1, Caroline Mota1, Dario Aloise2
1
Federal University of Pernambuco, Brazil
2
Federal University of Rio Grande do Norte, Brazil

The use of different public policies for certain areas in the same region
is a strategic issue for public safety management. Therefore, this article
has developed a multicriteria model based on SMARTS method thatprioritizes areas for a given region using demographic andsocioeconomic issues. It used the "swing weights" procedure to elicit
preferences for scale constants. This model was applied in Recife,
where it was divided into human development units. The sensitivity
analysis of scale constants helped to show that this model is robust,
since there were few and not significant changes in the positioning ofzones.

Selection and Ranking of Improvement Approaches inConstruction Companies: SMARTS Method
Renata Maciel de Melo1, Denise Medeiros1, Adiel Almeida1
1Federal University of Pernambuco, Brazil

There are various ways, related to quality methods, tools andstandards, to improve production processes. The aim of this paper is topresent a multicriteria decision model for selecting and ranking thesealternatives taking into account Quality, Environment andSustainability, and Safety. The paper proposes a multicriteria decisionmodel based in SMARTS (Simple Multi-attribute Rating Technique)method. A study case in the context of construction companies
illustrates the use of the model. The definition of the criteria and theirevaluation was conducted based on interviews with experts inconstruction companies. One of the differentials of this model is the
structure designed for a quality program planning decision making.
Also, it lays on its use of an alternative set of fragmented
improvements. These alternatives were combined together with some
restrictions so that they became a new global set of alternatives (macro
alternatives).

Innovative Support of Creation by Analogy-based Searchingof Potential Needs
Takayuki Suzuki1, Taro Tezuka2, Atsushi Aoyama1, Fuminori Kimura1, Akira
Maeda1
1
Ritsumeikan University, Japan
2
University of Tsukuba, JapanThe creation of innovative ideas is an essential part of businessactivities. However it is very difficult for many employees to come up
with innovative ideas efficiently. This paper propose a system that
supports users to create ideas by exploiting information available fromonline review sites based on the concept of Masakazu-Nakayama (NM)method, which is a well-known analogy based approach to creating
new ideas. The key assumption is that the analogy between different
product categories plays a central role in obtaining innovative ideas.
Many famous inventions have actually resulted from transposing atechnique or a concept used in one domain to another. The proposedsystem firstly calculates distances between product categories by their
attributes using data obtained from review sites. The system thenprovides combinations of mutually similar product categories and thereasons for their similarities, so that users can utilize them as sources of
new technological insights. We carried out experiments using real life
data and found that the system successfully provides novel and usefulanalogies.

Insurance Pricing, Reinsurance and Investment Decision
Based on the Mutual Benefit of the Insurer and the Customer
Hong Mao1, Krzysztof M. Ostaszewski2
1
Shanghai Second Polytechnic University, China
2
Illinois State University, United States

In this article, we establish an optimal decision model of insurance
pricing, reinsurance and investment based on the mutual benefits of
the insurer and the customer instead of only considering the benefit of
the insurer, which is conformed with one of important objective offinancial institution, that is, customer-oriented. We assume that theprice and the claim loss rate are independent stochastic processes andn kinds risky assets are correlated stochastic processes. The main
objective of our model is to minimize the expected utility of thepremium paid by the customer in a bounded horizon and to maximize
the utility of the relative terminal wealth of the insurer respect to theprice of insurance. We construct a HJB equation and determine theoptimal price of the insurance products, the optimal reinsurance
strategy and the optimal investment portfolio of the insurer
simultaneously by solving Hamilton-Jacobobi-Bellman HJB equation.
Finally, we use an example to illustrate its application.

Enhancing Tool Availability in the Forging Industry byAdjusting PPC and Tool Maintenance

Anis Selaouti1, Sven Baumgarten1, Jens-Michael Potthast1, Rouven Nickel1
1
Institute of Integrated Production Hannover gGmbH, Germany

The day-to-day business of the forging industry is characterized byfluctuating order quantities and production of numerous variants.
Within the framework of the Collaborative Research Centre (CRC) 489“Process chain for the manufacturing of precision forged highperformance components” a simulation based approach wasdeveloped for the implementation of operative tool management to
reduce delays caused by the allocation of tools.

33Session
Date
Time
Room
ChairsOperations Research (1)Wed, 7 Dec
11:00 - 12:30
Venus II
Mohamed K Omar, Arik Sadeh

Robust Optimization for Resource-constrained Project
Scheduling with Uncertain Activity Durations
Roel Leus1, Christian Artigues2, Fabrice Talla Nobibon3
1
Katholieke Universiteit Leuven, Belgium
2
Research Institution, France
3
HEC-Management School, University of Liege, Belgium

The purpose of this paper is to propose models for project schedulingwhen there is considerable uncertainty in the activity durations, to theextent that the decision maker cannot with confidence associate
probabilities with the possible scenarios. Our modeling techniques
stem from robust optimization, which is a theoretical framework thatenables the decision maker to produce solutions that will have areasonably good objective value under any likely input data scenario.
We develop and implement a scenario-relaxation algorithm and a
scenario-relaxation-based heuristic. The first algorithm produces
optimal solutions but requires excessive running times even for
medium-sized instances; the second algorithm produces high-quality
solutions for medium-sized instances and outperforms two benchmark
heuristics.

EPSO for Solving Non-oriented Two-dimensional Bin
Packing Problem
Mohamed K. Omar1, Kumaran Ramakrishnan2
1
Nottingham University Malaysia, Malaysia
2
Multimedia University, Malaysia

The non-oriented two-dimensional bin packing problem is dealing
with a set of rectangular pieces that need to be packed into identical
rectangular bins. Moreover and in order to minimize the number ofbins, the pieces are allowed to rotate by 90˚ without overlapping. There
are many real life applications for this operations research problem.
Among these applications: loading of boxes to pallets, trucks andcontainers, packing of box bases on shelves and other applications in
the wood and metal industry. In this paper, we propose evolutionary
particle swarm optimization algorithm (EPSO) for solving thenon-oriented two-dimensional bin packing problem. Extensive
numerical investigations are performed to determine the solution
quality of the proposed algorithm. Moreover, the performance of our
proposed algorithm is compared with a best known greedy algorithm
published in the literature.

Equivalent Relationships of Problem Formulations
Optimizing Forecast Accuracy
Xue-Ming Yuan1, Wee Meng Yeo1, Joyce M.W. Low2
1
Singapore Institute of Manufacturing Technology, Singapore
2
Korea Aerospace University, South Korea

This paper discusses the relationships among the optimization problem
formulations which optimize the forecasting accuracy indices, MAPE,
MAD and RMSE, respectively. The paper proposes the base
optimization problem formulation that is equivalent to all the
optimization formulations based on the forecasting accuracy indices,
MAPE, MAD and RMSE. The findings of this paper ensure thesedifferent optimization problem formulations can be unified by defining
the base optimization problem. Through three industry cases, theapplications of the results are discussed.

34

Multi-heuristics Based Genetic Algorithm for Solving
Maritime Inventory Routing Problem
Nurhadi Siswanto1, Daryl Essam1, Ruhul Sarker1
1
University of New South Wales, Australia

This paper discusses a multi-heuristics based Genetic Algorithm (GA)to solve maritime inventory routing problems (mIRP). The problem isto transport multiple oil products from a production facility to someconsumption ports by using several heterogeneous ships with
undedicated compartments. The objective of the problem is to find aminimum cost solution, while satisfying a number of technical andphysical constraints, within a given planning horizon. The strategies toassign a ship are transformed to a set of heuristic combinations
represented by a chromosome. At every iteration a number ofchromosomes are evaluated and evolved within a GA framework. The
approach has been applied on several test cases. The multi-heuristic
results show that the best optimum values of the case problems are notdifferent from the ones from a MILP method solved using Lingo, butthey do so with a significant decrease in computation time.

A Heuristic Algorithm for Substrates Testing in MCM
Keisuke Murakami1
1
National Institute of Informatics, Japan

Multi-chip module (MCM) substrate is designed to pack two or more
semiconductor chips. On a MCM substrate, there might exist a few
types of faults in the wiring. Thus, it is essential to establish an efficientmethod for testing in MCM to detect faults. This paper presents aheuristic algorithm for substrates testing in MCM. Our objective is tominimize the completion time of the testing. The testing is performedby two equipments, called probe. Several previous works propose amethod for the testing. Although the method finds at least one feasible
solution fast, there is no guarantee that the solution is always good.
Therefore, we formulate a testing problem as a shortest path problem
with covering constraints (SPCC) and then, we propose a heuristic
algorithm for the SPCC. In computation experiments, we show the
SPCC approach are superior to the existing method.

Nash Equilibruim Retail Prices in a Linear Duopoly Market
Tomoki Hamaguchi1, Koichi Nakade1
1
Nagoya Institute of Technology, Japan

In this study Nash equilibrium retail prices in a linear duopoly market
are analyzed. It is found that the simple model, in which consumers
buy items less than the critical price and do not buy otherwise, hastheoretical problems and may have no equilibrium prices. The
modified market model, which has two-stage critical prices, is
proposed and the demand functions on retail prices are analyzed. This
demand model is applied to a supply chain model with one supplierand two retailers.

Cross Docking Scheduling with Delivery Time Window andTemporary Storage
Dwi Agustina1, Carman Ka Man Lee1, Rajesh Piplani1
1
Nanyang Technological University, Singapore

The cross docking is an innovative distribution strategy fortransshipment of time-sensitive products. In this research we develop amodel for scheduling of a cross docking warehouse with focus ondelivery time window. The objective of the model is to minimize thecost of distribution, including earliness and tardiness costs, andinventory holding cost. The problem is formulated as a mixed integer
program. Using LINGO 12.0 it is found that our proposed method cancalculate the total cost with short computation time.

Session
Date
Time
Room
ChairsOperations Research (2)Wed, 7 Dec
13:30 - 15:00
Venus II
Romeo Marian, Noor Hasnah Moin

A Stochastic Formulation of Successive Software Releases
with Faults Severity
Ompal Singh1, Pramod Kumar Kapur1, Adarsh Anand1
1
University of Delhi, India

Software companies are coming with multiple add-ons to survive inthe pure competitive environment. Each succeeding up-gradation
offers some performance enhancement and distinguishing itself fromthe past release. If the size of the software system is large, the numberof faults detected during the testing phase becomes large, and thenumber of faults, which are removed through each debugging,
becomes small compared to initial fault content at the beginning of thetesting phase. In such a situation, we can model the software fault
detection process as a stochastic process with continuous state space. In
this paper, we propose a multi-release software reliability growthmodel based on Ito ' s type of differential equation. The model
categorizes Faults in two categories: simple and hard with respect totime which they take for isolation and removal after their observation.
The model developed is validated on real data set.

Capacitated Hub Location Problems with Waiting Time at
Hubs
Arsham Atashi1, Mostafa Abedzadeh1
1K. N. Toosi University of Technology, IranA new subject in the scope of capacitated hub location problems ispresented. In most of postal networks or data and airline networks,
hubs are special facilities that act as consolidation, sorting anddistribution centers of flow. Since the models dealing with these
problems focus on economic benefits with respect to costs of routing
and opening hubs, there may be congestion of passing flow at somehubs. We concentrate on postal networks and consider every hub as
M/M/1 queueing system to restrict mean time spent by unit of flow at
hubs. Models including capacity constraints are derived for both single
and multiple allocation types, and the CSAHLP model is tested on adata set available in the literature by GAMS to analyze thecomputational results.

Evaluation on Operation Management of Cascade
Hydropower Stations

A Review of Data Envelopment Analysis Models for
Handling Data Variations
Chuen Tse Kuah1, Kuan Yew Wong1
1
Universiti Teknologi Malaysia, Malaysia

Conventional data envelopment analysis (DEA) models require thatthe inputs and outputs to be measured deterministically. However, in
real world applications, the measurements are subjected to random
noise and errors. Ignoring the randomness in the measurement would
render an evaluation using DEA unreliable. In response to thisparticular weakness of DEA, a number of DEA models have been
proposed in the literature. This paper's aim is to review the major DEA
models for handling data variations. The models include Stochastic
DEA (SDEA), Fuzzy DEA (FDEA), and Imprecise DEA (IDEA). Somefuture research directions in this area will be highlighted as well.

Order Batching and Picking in a Synchronized Zone Order
Picking System

Li Pan1, Joshua Zhexue Huang2, Sydney C. K. Chu1
1
The University of Hong Kong, China
2
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Order picking has been considered as one of the most criticaloperations in warehouse. In this study, we propose an analytical
approximation model based on probability and queueing network
theory to analyze order batching and picking area zoning on the meanorder throughput time in a synchronized zone picker-to-part orderpicking system. The resulting model can be easily applied in the designand selection process of order picking systems.

Evacuation Route Scheduling Using Discrete Time-BasedCapacity-Constrained Model
Mojahid F. Saeed Osman1, Bala Ram2
1
King Fahd University of Petroleum and Minerals, Saudi Arabia
2
North Carolina A&T State University, United States

This paper addresses the problem of modeling evacuation schedulingout of an affected area. There are a pre-defined set of exit points out of
the target affected area and a set of source points for the evacuees. We
propose an optimization model for evacuation scheduling; thisapproach models the capacity-constrained evacuation schedulingproblem over discrete time as an integer optimization model. A recent
efficient heuristic for evacuation planning, Capacity-Constrained RoutePlanning (CCRP) algorithm is selected as a reference for comparison.
The result on a sample problem shows that the proposed model iscompetitive with the CCRP heuristic in terms of the resulting
evacuation time and evacuation routes and schedules.

Y. Zheng1, X.D. Fu2, Jia Hua Wei2, Xiang Li2
1
Tsinghua University, Three Gorges University, China
2
Tsinghua University, China

An evaluation framework for joint operation of cascade hydropower
stations was developed in this study. This framework is helpful toevaluate the operation performance of the cascade hydropower
stations in order to improve the operation level. The power benefit of
the cascade hydropower stations is chosen to be the evaluation object
for multipurpose reservoirs and other targets are described as
constraints according to the mandatory operation policy. The power
generation is maximized by means of an optimal algorithm which is
linked to a joint operation simulation model. This theoretical maximum
power generation is introduced as an evaluative criterion to assess theindicated additional benefits compared with actual hydropower
generation. In addition, an analysis module is involved to assess theinfluence of various factors on the operation performance. The
developed framework was verified by the joint operation of the Three
Gorges Project and Gezhouba cascade hydropower stations.

35Session
Date
Time
Room
ChairsOperations Research (3)Wed, 7 Dec
15:30 - 17:30
Venus II
Xue-Ming Yuan, Mojahid Saeed Osman

A Hospital Admission Planning Model for Emergency andElective Patients Under Stochastic Resource Requirements
and No-shows
Phongchai Jittamai1, Thirapan Kangwansura1
1
Suranaree University of Technology, Thailand

Hospital admission planning plays an important role for managing
and allocating hospital resources by emphasizing on an optimal use ofoperating theater time. The objective of this work is to develop a mixed
integer linear programming model in order to minimize the total
absolute deviations of the operating room resource utilizations fromtheir target utilizations for the multiple-day planning horizon. The
stochastic resource requirements such as length of stay, emergency
arrivals, and unattended patients (no-shows) are considered in the
proposed formulation. The mathematical model was tested with asample data set. Results show that the deviations from the target
resource utilizations are decreased by 0%, 3.18%, 0.45%, and 3.00% foreach type of hospital resources; namely, operating theater time,intensive-care beds, intensive-care nursing staff and medium-care beds,
respectively. Moreover, the gap deviated from the overall target
resource utilization is improved by 1%.

Multi-processor Job Shop Scheduling with Due Windows
Rong-Hwa Huang1, Shun-Chi Yu1
1
Fu Jen Catholic University, Taiwan

Job shop is one of the most popular manufacturing environments inpractice and is extensively discussed in literatures. Most of theliteratures focus on one machine setup at each shop, which usually
does not happen in practice for the purpose of workload balancing andmake-span shortening. Therefore, this study aims to minimize total
earliness and tardiness costs of a multi-processor job shop schedulingproblem with due windows. Ant colony optimization (ACO) is
deployed to solve the problem. Simulation data testing results showthat ACO has similar solutions to integer programming in small scale
problems, and robust, effective and time-efficient solutions in large
scale problems.

Spreadsheet Approach for Solving Complex Flowshop
Scheduling Problems
Mohamed K. Omar1
1
Nottingham University Malaysia, Malaysia

Méndez et al., [1] proposed an elegant MILP that provides a solution to
a complicated short-term scheduling of resource-constraint multistage
flowshop batch facilities. Moreover, the work presents a three-variationof the problem and provides a solution for each variation. In recent
years, many metaheuristics are developed to work as add-in to
spreadsheet popular software to provide solutions for optimization
problems. This paper reports on an application of spreadsheet based
Genetic Algorithm (GA) to solve the problem reported by Méndez.
Moreover, our results indicate that it is possible to solve complex
scheduling problems using the proposed approach, however,spreadsheet formulation knowledge and modelling skills are required.

A Pseudo-efficient Frontier Method for Solving Two-Phase
Packing Problems
David Raz1, Arik Sadeh1
1Holon Institute of Technology, Israel

Packing problems are very common and popular but typical solution
procedures involve computation of numerous feasible solutions evenfor a small scale problem. These types of problems are commonly
categorized as knapsack problem or bin packing problems and manyof them are NP complete. An efficient mechanism for finding an exact
solution for a two phase packing problem is proposed. The mechanism
reduces the number of feasible solutions considered by conducting ana¨ıve search for a pseudo efficient frontier of solutions for the firstphase. Furthermore, by conduction the first phase in such a way,evaluating the second phase is made more efficient. An algorithm forthe two dimensional case is presented along with proofs of correctness
and complexity.

36

Moral Hazard Resolved in Communication for S4n-Logic Acyclic Communication Network Case Takashi Matsuhisa1
1
Ibaraki National College of Technology, Japan

This paper investigates the role of communication among the principal
and agents under uncertainty. We treat the problem: How epistemic
conditions of communication will be able to settle a moral hazard inteam in the principal-agent model under uncertainty. We shall propose
a communication process to resolve the moral hazard in theprincipal-agent model by communication. We assume that the agents
have the knowledge structure induced from a binary relation
associated with the multi-modal logic bf S4n. We show that the moral
hazard can be resolved if the principal and each agent communicate
their expected marginal costs according to the acyclic communicationgraph.

Optimization of Multi Periods Inventory Routing Problem
Model with Time Varying Demand
Noor Hasnah Moin1
1
University of Malaya, Malaysia

In this paper we consider a multi period Inventory Routing Problem(IRP) that faces time varying demand of multi product from theassembly plant. The problem addressed in this study is a many-to-one
distribution network consisting of an assembly plant and man ygeographically dispersed suppliers where each supplier supplies
distinct product to the assembly plant. It is based on a finite horizon,
multi-periods, multi-suppliers and multi-products where a fleet of
capacitated homogeneous vehicles, housed at a depot, transport parts
from the suppliers to meet the demand specified b y the assembly plantin each period. We propose a solution method based on the Variable
Neighborhood Search. The algorithm incorporates the Generalised
Insertion (GENI) method and the algorithm are run on several
problems from the literature and the results are compared with the
Genetic Algorithms. VNS performs better on larger problems.

A Math-heuristic Approach for Integrated Resource
Scheduling in a Maritime Logistics Facility
Hua Xing Chen1, Hoong Chuin Lau1
1
Singapore Management University, Singapore

This paper addresses a real-world integrated logistics problem
involving the servicing of vessels in a maritime logistics facility. It canbe modeled as a job shop problem in which the operations of a job
require not only a single machine, but also a set of equipment to beprocessed plus a large number of side constraints. We decompose theproblem into a machine scheduling problem and an equipment
allocation problem. The former sub-problem is solved heuristically thatprune the solution space for the latter equipment allocation problem,
which is solved by an exact mathematical model. We run thismath-heuristic approach on a set of real industrial test cases andbenchmark the results against a conventional heuristic approach.

A Tabu Search Algorithm for Integrated Inventory and
Vehicle Routing Problem in One Depot and Multicustomers
Distribution System
Anchalee Supithak1
1
Thai-Nichi Institute of Technology, Thailand

This research aims to solve Inventory Routing Problem (IRP) by
developing two-phase heuristic based on EOQ with power-of-two
policy, saving algorithm and tabu search method. The first phaseintends to minimize inventory cost while the second phase proposes tominimize transportation cost. We construct fitness function composingof minimizing travelling distance and maximizing vehicle capacity
utilization with weighted decision variables. The algorithm mechanism
is swapping and applies tabu search to find the optimal solution frompossible neighborhood solutions. The effectiveness of developed
algorithm is evaluated by comparing the best solution to the initialsolution using fitness deviation. The results show that fitness deviation
is improved about 22.66% comparing to the fitness value of the initialsolution. We perform analysis of variance with randomly generated
problems to analyze sensitivity of two factors, number of retailers andsetup cost to holding cost ratio. The results show no significant
difference of both factors on fitness deviation values at 0.05 significant
level.

Session
Date
Time
Room
ChairsSupply Chain Management (1)Wed, 7 Dec
11:00 - 12:30
Jupiter I
Niak Wu Koh, Md. Mamun Habib

Effective Design of the Construction Supply Chain: A Caseof Small Buildings in Thailand
Sataporn Amornsawadwatana1
1
University of the Thai Chamber of Commerce, Thailand

Effective management of the construction project can be achieved by
implementing the supply chain management approach. Upstream anddownstream construction activities are collaborately conducted.
Logistics activities must be considered during the design phase.
Information sharing among designers, suppliers, constructionengineers, distributors, and project managers are key aspects in using
just-in-time (JIT) approach in construction supply chain. Consequently,
performance of projects can be improved e.g. less material handlingand storage activities can reduce costs. Simulation is used to model andmeasure the performance of construction supply chain. Finally, theactual building construction case is studied and validated. Objectivesof research are (i) to identify critical factors in the construction supply
chain, (ii) to reduce logistics cost in the building construction project,and (iii) to implement the supply chain management in the actual
construction project.

Simply Structured Policies for a Dynamic Pricing Problem
with Constant Price Elasticity DemandChia-Shin Chung1, James Flynn11Cleveland State University, United States

Consider a retailer, stocking a seasonal item facing a stochastic demand.
The retailer places orders before the start of the season and in-season
reorders are impossible. A question frequently asked is: How should
one set prices throughout the selling season to optimize profits?
Applications include the production of fashion goods, hotel rooms,
airline seats, and car rentals. The objective function is typically
non-concave, so finding an optimal solution is computationallychallenging and heuristic approaches are often employed. For a T
period dynamic pricing model with the expected profit objective, it was
shown in the literature that the problem reduces to solving T single
variable optimization problems. We extend the result by incorporatingholding costs. We obtain similar simple solutions for the special casesof deterministic demands and nonnegative holding costs proportional
to selling prices. For the general case, we introduce heuristics using
simply structured policies.

Governance Mode in Reverse Logistics: a Research
Framework
Qing Lu1, Mark Goh1, Robert De Souza1
1
National University of Singapore, Singapore

As the reverse supply chain for sustainability reasons has been
attracting increasing attention, this theoretical work focuses on thegovernance mode of reverse logistics. It is a less explored sub-field in
the reverse supply chain literature where manufacturers, distributors,
and retailers have important roles in the chain governance.
Manufacturers often engage professional third-party logistics (3PLs)
firms to manage their products due to the complexity, variety, andtrade compliance of such products. While such engagement can reducethe burden of product management for the manufacturers, thepotential loss of competitive advantage or a conflict of interest canaffect the manufacturers' reputation and profitability. Based on theliterature as well as our initial fieldwork in several industries, wedevelop a research framework to explore the governance choice of
manufacturers for reverse logistics, and examine the factors affecting
the preference between self-governance and the outsourcing to third
parties such as the 3PLs.

problem, this paper proposes an improved particle swarm
optimization algorithm for solving the problem. The efficiency and thereliability of the proposed algorithm are evaluated by using various
test problems with different sizes that is randomly generated. The
performance of the developed algorithm is compared with two
different algorithms: Particle Swarm Optimization, and Genetic
Algorithm. The numerical results show that the developed algorithm
outperforms benchmark algorithms, especially for the large-sized
problems.

Risks Assessment of Lower Tier Suppliers Using
Operational Reliabilities and Product Availabilities
Gopal Agarwal1, Piyush Singhal2, Murari LaiMittal1
1
Malaviya National Institute of Technology Jaipur, India
2
GLA University, India

The recent disturbing events across the globe such as climatologic
disasters, epidemics, political instability, terrorism and financial scams
have emanated the potential risks to global supply chains practices.
Apart this the inclination towards the efficient strategies like lean
practices, lower inventories, outsourcing and single sourcing are also
making the supply chains vulnerable to dependency risks. Supply
chains can be disrupted at supply side, customer side or at the focal
firm locations during the processing, but the associated criticality isthat the severity of the risks propagates through supply chains anddeteriorates the performance of not only the one firm but the entire
network. This paper examines risks to the supply side primarily
focusing on lower tier suppliers which are usually the small medium
enterprises. In this study elements of system reliability and productavailability are estimated with the infrastructural risks of lower tiersuppliers to develop a combined risk assessment index under demandand supply uncertainties. This approach can further be enhanced torank suppliers and to assess overall supply chain performance.

EOQ Model Development for Perishable Items under Stock
Dependent Demand and Time Dependent Partial
Backlogging by Using Intelligent Packaging
Narges Khanlarzade1, I. Nakhai1, B. Yousefi2
1
Tarbiat Modares University, Iran
2
Islamic Azad University, IranIn 2006, Chang et al. developed the EOQ model of Dye and Ouyang for
perishable items. In this paper we develop their model by adding
parameters of intelligent packaging. Our developed model shows, inspite of its costs, that intelligent packaging can increase the profit. The
existence and uniqueness of the optimal solution of the model is
examined, subsequently numerical examples are presented to illustrate
the application of developed model.

A Study on Lean Supply Chain Performance Measures of
SMEs in the Automotive Industry
Farzad Behrouzi1, Kuan Yew Wong1, Farshad Behrouzi1
1
Universiti Teknologi Malaysia, Malaysia

This paper aims to investigate the concept of lean supply chain, anddevelop a list of performance measures for manufacturing small andmedium size enterprises (SMEs) in the automotive industry. A total
number of 28 performance measures were identified to represent theleanness of supply chain. Data were collected from 133 supply chain
practitioners working at manufacturing SMEs in Iran's automotive
industry. Lean supply chain performance was divided into four
components (attributes), i.e. waste elimination, continuous
improvement, just-in-time (JIT), and flexibility. Delivery & reliability(D&R) was selected as a representative for JIT. Flexibility was directly
connected to the measures without any division. This study gives a real
insight into the lean supply chain performance measures, andcontributes to expand the knowledge in this area. The leanperformance attributes and related measures can also be used as inputs
for a lean supply chain performance measurement system.

Developing an Improved Particle Swarm Optimization
Algorithm for Solving the Inventory Routing Problem with
Direct Shipment
I. Nakhai1, Seyed Hessameddin Zegordi1, Ali Hossein Mirzaei1
1
Tarbiat Modares University, IranThis paper considers a multi-period multi-product inventory routing
problem whereas the objective is to minimize total system cost that
includes production setup, inventory and distribution costs. The
problem integrates decisions on the production planning, inventory
management and distribution planning. Here, we assume that
products are produced and delivered from one manufacturer to a set ofretailers through a fleet of homogenous capacitated vehicles under
direct shipping strategy. Since the problem is known as an NP-hard37

Session
Date
Time
Room
ChairsSupply Chain Management (2)Wed, 7 Dec
13:30 - 15:00
Jupiter I
Weidong Lin, Virgilio Cruz-Machado

An Exploratory Research on Educational Supply Chain
Management
Md. Mamun Habib1, Veena Tewari2, VVR Raman3
1
American International University-Bangladesh (AIUB), Bangladesh
2Asia Pacific Institute of Management, India
3
Asmara College of Health Sciences, South Africa

The exploratory study investigates the education supply chain and theresearch supply chain as major constituents in the educational supply
chain management for the universities. Its applicability was
successfully verified and validated through survey data from leading
universities around the world. Model constructs were identified andconfirmed by 493 respondents, representing experts andadministrators, faculty, staffs of the university, employers, graduates,etc. The resulting model was subsequently evaluated for accuracy andvalidity by multiple linear regression (MLR) analysis and the structural
equation modeling (SEM) technique. This model furnishes
stakeholders of the supply chain with appropriate strategies to review
and appraise their performance toward fulfillment of ultimate goals, i.e.
producing high-caliber graduates and high-impact research outcomes,
which represent two main contributions, for the betterment of the end
customer, i.e., the society.

Production and Distribution Planning Model for Hinterland
Supply Chain
Shi Tao Zhao1, Xue-Ming Yuan2, Shih Fu Ling1
1
Nanyang Technological University, Singapore
2Singapore Institute of Manufacturing Technology, Singapore

The overall focus of this research is to address a supply, manufacturing,shipping and distribution problem faced by a company that manages ahinterland supply chain to meet customers’ annual independent
demand. The problem involves the delivery of products from raw
materials purchasing to delivery of the finish goods to destination
distribution centres. Since the annual products independent demanded
by customers are fixed, the manufacturing and shipment planning areof great economic importance. This problem is formulated as amathematical model. The objective function seeks to minimize the total
cost including the purchasing, manufacturing, transportation andinventory costs. When this model is resolved, the interval period ofincoming raw materials delivery can be determined at the minimal
total cost. Some results are discussed under special circumstances.

The Application of Vendor Managed Inventory in the
Supply Chain Inventory Model with Probabilistic Demand
Yosi Agustina Hidayat1, Ika Deefi Anna2, Arlene Khrisnadewi1
1
Bandung Institute of Technology, Indonesia
2
Bandung Institute of Technology, University of Trunojoyo, Indonesia

Numerous studies show that the application of Vendor Managed
Inventory (VMI) provides benefits for members of the supply chain.
This research considers the application of VMI in a supplier-buyer
relationship and develops an analytical model to prove the benefits
obtained from the VMI collaborative initiatives. A mathematical model
is developed for a two-level supply chain consists of single supplierand single buyer in a probabilistic demand situation. The analyticalmodel shows that the VMI implementation in the probabilistic
inventory model, considering leadtime as a decision variable, has theability to reduce the supply chain expected total cost, reduce theleadtime, therefore increase the frequency of replenishment andimprove the service level. Numerical examples are given to prove theseresults analytically.

38

A Logistics Execution Method for the Regional Distribution
CenterYuan-Kuei Huang1, Wei-Jun Lu2, Jun-Der Leu2
1
Deloitte & Touche Consulting Co., Taiwan
2
National Central University, Taiwan

Regional distribution center of logistics system provides the service ofassembling, packaging and shipping products to customers. The centerhas to minimize the product inventory, in-transit materials, andcomponents meet the dynamic demands according to the market
changes. So, for the regional distribution centers in market-oriented
enterprises, an efficient distribution operation plan method is needed
desperately. However, there are fewer literatures about the featuredevelopment method of a regional distribution center dealing withsales and distribution planning models. Therefore, this study takes
maximizing customer satisfaction as the point of view withconsideration of time urgency and product value of the delivery
coordinated with regional distribution center distribution planning
method. Finally, the empirical case studies are applied to illustrate andvalidate this method deciding the distribution route and compare theperformance difference on the planning result by two different core
formulas.

Research on Measuring Method of Supply Chain Resilience
Based on Biological Cell Elasticity Theory
Ying Shuai1, Xinping Wang1, Lindu Zhao1
1Southeast University, China

In supply chain management, it is easy to make the supply chain
system vulnerable, lack of resilience and even disorderly if we simply
emphasize lower costs and higher efficiency. The subject on how tostrengthen the resilience of supply chain has attracted more and more
scholars' attention. However, relevant studies are mostly concentrated
on qualitative analysis. In this paper, a quantitative measuring method,referring to stress relaxation time of material mechanics, was proposed
based on the biological cell elasticity theory, which is helpful to theresearch of supply chain resilience in quantitative approach. Then theimpact of different factors on supply chain resilience was discussed.
The results are consistent with the realistic situation and indicate thatthe measuring model is reasonable and right under the assumed
conditions.

Critical Success Factors of Total Productive Maintenance
Implementation: A Review
Kam-Choi Ng1, Gerald Guan Gan Goh2, Uchenna Cyril Eze3
1
Infineon Technologies, Malaysia
2
Multimedia University, Malaysia
3
Monash University Sunway, Malaysia

The maintenance function has gone through many changes over the
past few decades. The very traditional perception of maintenance's role
is to get into action whenever a breakdown occurs. Total productive
maintenance therefore shifts the paradigm of company's traditional
maintenance system from being reactive to being more proactive by
maintaining the equipment in optimum condition at all times. The
main findings of this research are that the critical success of TPM
implementation such as commitment from top management, culturalchange, education and training, clear vision and mission, effective
communication, language problems and measurable definition for
TPM were identified.

Session
Date
Time
Room
ChairsSupply Chain Management (3)Wed, 7 Dec
15:30 - 17:30
Jupiter I
Songlin Chen, Maria Grazia Gnoni

Designing the Optimal Strategies for Supply Chain
Financing under Warehouse Receipt Pledging with Credit
Line
Nina Yan1, Tian Tian1
1
Central University of Finance and Economics, China

The optimal strategy of financing through warehouse receipt pledging
for retailers with capital constraints in the supply chain financing
system under demand uncertainties is designed and investigated. We
design a supply chain financing system composed of the manufacturer,
the retailer and the commercial bank, in which the credit line andbankruptcy probability of the retailer are considered. The optimized
financing interest rate for the commercial bank, the optimized orderpolicy for the retailer and the optimized wholesale price for the
manufacturer are analyzed respectively, and the comparison analysis
about the optimal strategy for the financing strategy with and without
credit line are proposed. It concluded that the financing strategy withlimited credit line can stimulate the increase in order quantity inside
the supply chain financing system and can provide the effective
financing motivation for the risky retailer. Finally, we use the numerical
study to analyze the influence of retailers with different lines of crediton the optimal strategy in supply chain financing system, thus verify
the result of theoretical analysis.

A Framework for Integrated Assessment of Sustainable
Supply Chain Management
Farzad Dehghanian1, Saeed Mansoor2, Mahboobeh Nazari2
1
Ferdowsi University of Mashhad, Iran2
Amirkabir University of Technology, IranThis paper presents a framework for calculating an integrated index toassess the sustainability of the supply chain of a given product.
Analytical Hierarchy Process (AHP) has been used to obtain relative
weights of the different indicators and dimensions of sustainable
development context. This framework considers all entities involved in
the supply chain and provides an integrated index to evaluate supply
chain movement towards a more sustainable environment. Plastic
carrier bags supplied by a large supermarket chain, Shahrvand, ischosen as a case study. An integrated index of sustainability ispresented for plastic carrier bags supply chain in two periods of time.
Interpretation and sensitivity analysis of results is given andeffectiveness of integrated index is pointed out.

A Multiobjective Evolutionary Approach for Integration of
Location-Inventory and Vendor Selection Decisions
Chia-Lin Hsieh1
1
Aletheia University, Taiwan

In this research, we examined an integrated location-inventory andvendor selection problem, including conflicting objectives (e.g.
efficiency and responsiveness). The goal here is the simultaneous
determination of (i) the set of vendors the firm should work with; (ii)the number and the locations of distribution centers (DCs) or
warehouses and also the assignment of retailers to DCs and (iii) how
much each retailer should order from the selected vendors. The model
is a challenging mixed integer on linear program for which we propose
an efficient solution approach that relies on a hybrid multiobjective
evolutionary algorithm to provide an efficient facility location portfolio,
and permits a comprehensive trade-off evaluation between the"quality" of the set of elite solutions and the time and memory required
to produce them. Computational results demonstrating theperformance of the proposed heuristic methods and the potential
practical impact of integrated decision making for location-inventory
and vendor selection decisions are reported.

Selection of Distribution Centers with the Time Value ofMoney and the Loyal Customer Effect
Alireza Amini1, Reza Tavakkoli-Moghaddam1, Armand Baboli2
1
University of Tehran, Iran
2
Universite de Lyon, FranceThis paper addresses a distribution center selection problem in athree-echelon supply chain including suppliers, distribution centers(DCs) and retailers. There is a set of DCs, in which some of themshould be selected in each period. Due to the imperative role of thetime value of money (TVM), we consider this decisive factor in the
problem. Besides it is assumed that the setup cost of each DC can be
decreased in period t based on its number of the previous periods thatit has been selected. This phenomenon, which shows the loyalty of acustomer, is named as loyal customer (LC) effect. The aim of the
problem is to minimize the total costs, including transportation andsetup costs. A non-linear mathematical model is developed for thementioned problem and it has been solved by the GAMS optimization
software to obtain the optimum set of DCs.

Coffee Waste Management. A Case Study

Virginia Machado1, Ana Paula Barroso1, Carolina Santos1, Virgilio Cruz
Machado1
1
Universidade Nova de Lisboa, Portugal

For some years now, organizations and countries have been concernedwith waste management. This has resulted in laws that held producers
responsible for the recovery of the products that they produce whenthese reach the end of their lifetime. Although the existing legislation
does not include all types of wastes, some producers have been making
efforts in adapting the supply chain management to the activities
associated with recovering waste produced by the products that they
are responsible for because they feel socially motivated to give an
ecological image and/or they want to prepare for the legislation
implementation that they foresee is going to be published. The casestudy presented here is a pilot study supporting the decisiondeveloped in an organization responsible for roasting and distributing
coffee in Portugal with the objective of achieving a model of coffee
waste collection and transportation that is efficient and reduces theenvironmental impact.

A Buffer Stock Model to Ensure Price Stabilization and
Availability of Seasonal Staple Food by Empowering
Producer Using Warehouse Receipt System
Wahyudi Sutopo1, Senator Nur Bahagia 2, Andi Cakravastia2, T.M.A.
Arisamadhi2
1Bandung Institute of Technology, Sebelas Maret University, Indonesia
2
Bandung Institute of Technology, Indonesia

Staple food that is produced by agro industry has salient supply
disparity during the harvest and planting season. This situation could
cause both staple food scarcity and price fluctuation. An indirect
market intervention model is proposed to mitigate producer’s revenue
loss when selling price plunges and to secure consumer’s need whenstaple food is scarce. The model uses buffer stock scheme in accordancewith warehouse receipt system (WRS) and collateral management
system. By using WRS, producer can pawn some of their staple food to
the warehouse management and obtain receipt, then give the receipt to
the Financial Institutions to access loan. Next, they can redeem theirpawn and sell them under profitable price. Mixed-integer nonlinear
programming (MINLP) approach has been used to determine thedecision variables for producer and government. The result shows thatthe model can be used to solve problem.

Conceptual Model for Information Systems of Sustainable
Supply Chain Management
Majid Aarabi1, Muhamad Zameri Mat Saman1, Mohammad Reza Khoei1,
Kuan Yew Wong1, Hooshang M. Beheshti2, Norhayati Zakuan1
1
Universiti Teknologi Malaysia, Malaysia
2
Radford University, United States

New challenges and opportunities are encountered in the present
supply chain management. In addition to the competition of themarkets in the globe, limitation of energy, raw and virgin materials,
environmental protection crisis and increase of global population are
causing unprecedented issues to the worldwide supply chains for
obtaining of goods and services for customers efficiently and effectively.
Conventional supply chain management (SCM) considered threestages: pre-manufacture, manufacture and use, while the present
enterprises need to consider the sustainable supply chain management(SSCM) for competitiveness and stability in the market. SSCM stages
are: pre-manufacture, manufacture, use and post-use. Sustainable
enterprises, also promote three core aspects: Environmental,
Economical and Social. In this paper, it discusses the 6Rs of sustainable
manufacturing in SSCM with regard to the three core aspects. A
conceptual model is proposed for sustainable supply chain
management information systems and this model is demonstrated in acase study.

Using an Artificial Neural Network and a Mathematical
Model for Sugarcane Harvesting Scheduling
Surached Thuankaewsing1, Supachai Pathumnakul1, Kullapapruk
Piewthongngam1
1
Khon Kaen University, Thailand

In this paper, the sugarcane harvesting scheduling problem, in thenortheast region of Thailand, is addressed. Since there are many small
size farmers are participated as suppliers of the sugarcane mill, a
harvesting schedule, which could provide the maximum production
yield for sugarcane mill and also equal opportunity for farmers toharvest at their suitable time are required. A model, which is the
combination of an artificial neural network (ANN) and a mathematicalmodel, is proposed to solve the problem. The ANN is used to forecast
sugarcane yield of each plantation over harvesting season. Then, theforecasted values are used by the mathematical model to find the
optimal harvesting schedule. The objective function of the proposed
mathematical model is to maximize the total sugarcane yield;
meanwhile the harvesting scheduling maintains the equality among
farmers in the group. The application of the model is also investigatedwith an example problem.

39

Session
Date
Time
Room
Chairs

Production Planning & Control (1)Wed, 7 Dec
11:00 - 12:30
Jupiter II
Suksan Prombanpong, Fazleena Badurdeen

Optimum Quantities of Make and Buy in Multi-Item
Manufacturing Firms with Restriction in Production
Capacity
Mohammadal A. Pirayesh Neghab1, Saeed Poormoaied1
1
Ferdowsi University of Mashhad, Iran

Sometimes, some companies with consideration to their production
capacity cannot respond to their demand. If demand increases andcompany doesn't have sufficient capacity to respond to such demand,
it will encounter backlogging. Also, in a multi-item company, if thenumber of products increases, the company may not be able toproduce some products, thus backlogging will be occurred. In thispaper, we consider such companies that will encounter the mentioned
conditions and will be enforced to buy some products from outside.
The aim of this paper is determination of optimum quantities of makeand buy for each product to minimize total inventory cost. We refer tothe proposed model as make-with-buy model. In this paper weformulate the make-with-buy model and solve it by genetic algorithm
through Matlab software.

Study and Application of Scheduling Method for
Just-in-time Production in Flexible Job Shops
Wei Weng1, Shigeru Fujimura1
1
Waseda University, JapanThe unsmooth job flow between the production shops along a
manufacturing chain is a problem commonly seen in industries due tothe inconsistency in processing speed and delivery between the
chained production shops. With many factors involved in thecoordination between production shops, the problem is complex andfew solutions have been provided to date. This study presents anapproach able to solve this problem by implementing time-based
manufacturing that enables the speed and timing of each shop's job
outflow to match those of its successor shop's job inflow. The proposed
method is composed of offline schedule making and online job
processing control. It aims to complete each job in a just-in-time (JIT)
manner at the time the job is wanted by the next production shop.
Designed upon a flexible job shop environment, which is easy to betransformed into other shops with similar characters, the proposed
method is expected to be widely applicable to JIT scheduling problems.
An industrial case study is made and results show that the proposed
method has a strong ability in JIT job completion, tardy job prevention
and makespan reduction.

Order Selection of Processed Chicken under Production
Capacity Constraints
Pachara Chatavithee1, Kullapapruk Piewthongngam1, Supachai
Pathumnakul1
1
Khon Kaen University, Thailand

In this paper, an order selection problem for chicken processor isaddressed. When customer demand is over the company production
capacity, all order could not be satisfied. A mathematical model isdeveloped to choose type of orders should be produced. The objectivefunction of the model is to maximize profit of processor taking into
account production capacity constraints. The result demonstrates thatthe mathematical model could practically solve the problem of the casestudy company under acceptable computation time.

Clustering Variables Selection in Mass Customized
Scenarios Affected by Workers’ Learning
Michel Anzanello1, Flavio Fogliatto1
1
Federal University of Rio Grande do Sul, Brazil

In Mass Customized applications, clustering procedures enablegrouping product models with similar processing needs into families,
increasing the efficiency of production programming and resources
allocation. The performance of such procedures is highly dependent on
the proper choice of clustering variables. This paper proposes a method
to select clustering variables aimed at grouping customized productmodels into families. Two groups of clustering variables are considered:those generated by expert assessment on product features, and those
representing workers' learning rate, obtained through learning curvemodeling. The method integrates the "leave one variable out at a time"elimination procedure with a k-means clustering technique. Whenapplied to a shoe manufacturing process, the proposed method
significantly reduced the number of variables required for clustering,
while increasing the grouping quality measured through the Silhouette
Index.

40

Interactive Online Process Management and Quality Control
for Cross-Sited Production Process Chains
Peter Becker1, Robert Schmitt2
1
Fraunhofer Institute for Production Technology, Germany
2
RWTH Aachen University, Fraunhofer Institute for Production Technology,
GermanyIn our globalized world, cross-sited production process chains are key
elements to manufacture cost and resource efficiently and seem to bewell established in today's industries. But to produce cross-sited,highly sophisticated production planning between different process
steps has to be established to guarantee high quality. To achieve this,process chains and their interfaces have to be well coordinated,managed and quality standards continuously controlled. Speciallysmall and medium-sized enterprises (SME) do have difficulties withworld wide coordination of their production. Therefore, this paper will
give a comprehensive description of how such tasks can be approached
and will introduce an interactive-internet based management tool thatenables a smooth cross-sited production.

Periodic Virtual Cell Manufacturing (P-VCM) - Concept,
Design, and Operation
Jannes Slomp1, Dimitry Krushinsky1, Rahul Caprihan2
1
University of Groningen, Netherlands
2
Dayalbagh Educational Institute, India

This paper presents and discusses the concept of Periodic Virtual Cell
Manufacturing (P-VCM). After giving an illustrative example of theoperation and design complexity of a P-VCM system, we present an
industrial case to study the applicability of the concept. The illustrative
example and the industrial case indicate the context for which P-VCM
is appropriate.

A Novel Virtual Design Platform for Product Innovation
Through Customer Involvement
Xingyu Chen1, Chun-Hsien Chen1, Kah Fai Leong1
1
Nanyang Technological University, Singapore

Involving customers in the product design process on a virtual design
platform is thought to be an effective way for new product innovation.
However, few studies have been carried out to co-relate the theories
developed in marketing and those proposed for product design todevelop a viable product innovation platform. There is no widely
accepted integrated conceptual model that integrates these views. In
the proposed model, a conceptual link between the marketing domain
and the product domain construct a virtual design platform forcustomer's desired value co-creation and knowledge co-production.
The different levels of involvers are classified according to three
dimensions of customer demographics, customer psychographics andcustomer expertise based on the customer information derived frommarketing segmentation theory. Products are categorized according to
explicit product characteristics and virtual product characteristics.
Measurement scales for each of these dimensions will be investigatedthoroughly. A design process for product innovation based on thetheoretical model is proposed. The framework connects customer
information and product orientation to provide a novel platform for
future product innovation.

Session
Date
Time
Room
Chairs

Production Planning & Control (2)Wed, 7 Dec
13:30 - 15:00
Jupiter II
Jannes Slomp, Seyyed Mohammad Taghi Fatemi
Ghomi

Adaptive Scheduling by Means of Product-specific
Emergence Data
Gunther Reinhart1, Florian Geiger1
1
Technische Universitat Munchen, Germany

The order-driven single and small batch production is characterized bya high variety and the demand for short delivery times. Therefore, arobust production planning is essential. Usually the master data, which
is used for scheduling, does not represent the current conditions in the
shop floor, due to its static nature. Thus the planning results are ofpoor quality. To counteract that, this article describes an approach thatprovides production-state-dependent master data enabled by the RFID
(Radio Frequency Identification) technology.

A Worker Assignment for Machine Cluster in the
Manufacturing Cell
Suksan Prombanpong1, Waraporn Seenpipat1
1
King Mongkut's University of Technology Thonburi, Thailand

A worker assignment for machine cluster in the manufacturing cell was
discussed in this paper. The objective of this paper is two folds. First, itaims to demonstrate a calculation of the maximum number ofmachines which one worker can optimally operate without an idle timeon the machine. Then, the simulation software program is utilized toevaluate various proposed improvement alternatives based on
maximum machine efficiency criteria. In this study one of the hard disk
drive manufacturers in Thailand was explored. Previously, one worker
was assigned to service eight semi-automated machines in the cluster.
The main tasks of the worker were loading, checking and recording.
Due to the fact that workload of the worker and the machine cycle isnot balanced so the utilization of the worker cannot be maximized.
Therefore, the optimum number of machines which one worker canideally service is calculated. It is found that one worker can optimallyserve up to eleven machines. However, other alternatives are also
explored. As a result, by systematic work elimination, one worker canservice up to fourteen machines per cycle with 96.09% machineutilization.

Optimal Production Policy of Production System with
Inventory-level-dependent Demand in Segmented Market
Yogender Singh1, Kuldeep Chaudhary1, P.C. Jha1
1
University of Delhi, India

A marketing orientation is based on a customer-driven focus. During
the past two decades we have seen the rise of market segmentation inbusiness markets. Market segmentation is an essential element ofmarketing in industrialized countries. It has emerged as a key
marketing planning tool and the foundation for effective formulation
in industrialized countries and firms. In this paper, we use market
segmentation approach in inventory-production system for single
product and we assume that firm has single production unit for all
segment. The objective is to develop an optimal production policy thatminimize the total cost associated with inventory and production rate
in segmented market and make use of optimal control theory to solve
the production -inventory problem . First, we consider a single source
inventory problem with multi-destination demand that vary fromsegment to segment. Further, we discuss a multidestination demandand inventory problem under the assumption that firm may choose
independently the inventory directed to each segment. Both the
problems are discussed and solved using optimal control theory
approach.

Heuristic Decomposition and LP-based Scheduling in
Make-and-Pack Production
Philipp Baumann1, Norbert Trautmann1
1
University of Bern, Switzerland

In this paper, we are concerned about the short-term scheduling ofindustrial make-and-pack production processes. The planning problem
consists in minimizing the production makespan while meeting given
end-product demands. Sequence-dependent changeover times,
multi-purpose storage units with finite capacities, quarantine times,
batch splitting, partial equipment connectivity, material transfer times,
and a large number of operations contribute to the complexity of the
problem.Known MILP formulations cover all technological constraintsof such production processes, but only small problem instances can besolved in reasonable CPU times. In this paper, we develop a heuristic
in order to tackle large instances. Under this heuristic, groups ofbatches are scheduled iteratively using a novel MILP formulation; theassignment of the batches to the groups and the scheduling sequenceof the groups are determined using a priority rule. We demonstrate theapplicability by means of a real-world production process.

Robust Optimization Model for Fan Coil Production
Planning under Supply Uncertainty
Jamshid Nazemi1, Roja Zakeri1
1Islamic Azad University, Iran

Optimal Production and capacity planning problems have been one ofmajor operation management concerns researches. The model
parameter's challenge effect on the solution has caused most of thesepractices unreliable. In this research we have considered a Heating,
Ventilation and Air Conditioning (HVAC) production planningproblem utilizing a supply base network. Proposed optimization
model considered three uncertainty parameters of products lead time,machine efficiency and contractor collaboration mechanism. Objectivefunction is minimizing costs of final product and its related parts withover 470 items. Proposed robust stochastic programming model,
utilized a scenario approach to handle uncertainty of mentioned
parameters. Through combination of three uncertain parameters 27
scenarios produced. Considering scenarios and its related probability,
we have analyzed robustness of model. As proposed model has beenused for problem with large number of variables and constraints, its
framework can be used for similar production planning problems inother industries.

An Application of Network Topology to Understand The
Signal in Process Variability: A Case Study in Petrochemical
Industry
Shamshuritawati Sharif1, Maman Djauhari2
1
Universiti Teknologi Malaysia, Universiti Utara Malaysia, Malaysia
2
Universiti Teknologi Malaysia, Malaysia

This paper deals with a network topology approach for identifying theroot causes of an out-of-control signal. An experience in the production
process of fertilizer will be reported.

41

Session
Date
Time
Room
ChairsHuman Factors
Wed, 7 Dec
15:30 - 17:30
Jupiter II
Jan Pieter Clarys, Mohammed-Aminu Sanda

Monitoring and Classifying Evidence-Based Workload forProfiling Manual Handling Occupations
Jan Pieter Clarys1, Jonathan Tresignie1, Aldo Scafoglieri1, Erik Cattrysse1
1
Vrije Universiteit Brussel, Belgium

The majority of employments with occupational musculoskeletal
hazards can be classified as manual handling jobs in manufacturing
and the public health sector. The purpose of this study was to monitor
and classify evidence-based workload of a manual handling target
group of nurses using a modified Delphi with three independent
consecutive surveys. With its focus on maximizing participants'
judgment abilities, the modified Delphi technique is a
non-compromising tool for decision making. As a result of threedifferent and independent survey rounds, the tasks and maneuvers of
the target group could be divided into six job categories. With 6 and 7
point Likert scales, both loading level and frequency were determinedwithin each category allowing a final evidence-based classification oftasks and maneuvers at risk allowing a better profiling of manual
handling occupations e.g. nursing.

Measurement of Handgrip Force of the Dominant Hand at
Pre-selected Force Levels for Males
Kai-Way Li1
1
Chung Hua University, Taiwan

An experiment was conducted to measure the grip force of twenty
male subjects under guided-gripping scenario. The subjects were
instructed to grip with an exertion level of 20%, 50%, 70%, and 100% of
their maximum voluntary contraction of their dominant hands. A
linear regression model was established to describe the relationshipbetween the gripping force and the rating of Borg’s CR-10 scale. Thismodel was statistically significant at p<0.0001 and with an R2 of 0.9.
The Pearson’s correlation coefficient between the grip force and thescore of the CR-10 scale was 0.9. The results of this study showed thatthe guided grip force of the dominant hand of the male subjects had
linear relationship with the rating of CR-10 scale. Therefore, the CR-10
scale is appropriate as a quantitative measure of perceived hand grip
exertion of the dominant hand for males.

Lumbosacral Bending Moment Assessment and Parameter
Optimization Using Taguchi Design during Lifting Task in a
Steel Rolling Mill
Sarbjeet Singh1, Sunand Kumar2
1
Government College of Engineering and Technology, India
2
National Institute of Technology, India

This paper reports on the investigation of the effect of liftingparameters on lumbosacral bending moment during lifting task. The
experimental study has been conducted under varying load weights,
horizontal location of load from L5/S1 and lifting technique (stoop,
squat and using lifting device). The design of experiments approach
using Taguchi's orthogonal array was used. The level of importance ofthe parameters on bending moment at L5/S1 has been determinedusing analysis of variance (ANOVA). In the study reduction in bending
moment at L5/S1 has been observed after utilizing lifting device.

A Perspective on Human Factors Contributing to Quality
Requirements: a Cross-case Analysis
Annlize Marnewick1, H.C. Pretorius1, Leon Pretorius2
1
University of Johannesburg, South Africa
2
University of Pretoria, South Africa

Although formal definitions and processes do exist for requirements
engineering, projects are still failing due to the poor quality ofrequirements. This study investigates this phenomenon, in particular
the reasons why high quality requirements cannot be delivered. This
paper investigates factors contributing to high quality requirements
during two requirements engineering processes in practise. Empiricalevidence was collected over a five-year period from two case studies
focusing on the requirements engineering process to obtain an in-depth
understanding of why the process delivered either good or poor
quality requirements. The findings suggest that human factors during
the communication process play a significant role towards the qualityof requirements. This research provides an alternative view on thefactors contributing towards poor quality requirements. The skill ofcommunication allows a requirements engineer to create a trust
relationship with customers, and this empowers him to elicit highquality requirements from the users.

42

Occupational Stress, Knowledge Sharing and GSD
Communication Barriers as Predictors of Software Engineer's
Creativity
Aamir Amin1, Shuib Bin Basri1, Mohd Fadzil Hassan1, Mubashir Rehman1
1
Universiti Teknologi Petronas, Malaysia

Human knowledge and creativity is the cornerstone for softwaredevelopment. Creativity has recently been emphasized in softwaredevelopment. However there has not been enough research work
addressing creativity of software engineers working in Global Software
Development (GSD). The aim of this study is to provide a theoreticalframework of creativity in the context of GSD. Using the methodology
of literature survey, factors such as knowledge sharing, software
engineering occupational stress and GSD communication barriers havebeen hypothesized to be effecting creativity directly or indirectly. At
the end a theoretical framework of software developer's creativity has
been presented.

Miners' Tacit Knowledge: A Unique Resource forDeveloping Human-oriented Lean Mining Culture in Deep
Mines
Mohammed Aminu Sanda1, Jan Johansson1, Bo Johansson2
1
Lulea University of Technology, Sweden

This research explored the significance of retaining aspects oftraditional mining culture attributes as value-adding waste in the
introduction of lean mining. The purpose was to understand theinfluences that aspects of human practices derived from miners' tacitknowledge, and reinforced by traditional mining culture, could have inthe molding of a lean culture to facilitate the introduction andsustenance of the lean mining philosophy. Historical and actual data
were collected and analyzed by viewing mine culture as attributes,
such as values, beliefs, schemas, and implicit theories commonly heldamong the mine workforce. It is concluded that since theknowledge-oriented human-added value held by individual miners ismost commonly transferred through personal experience, suchknowledge could be extracted to enhance the development of ahuman-oriented leaner mining culture to encapsulate the existing leanmining philosophy.

Identifying the Meaning of Information Signs in Traffic
Facilities
Hsien-Yu Tseng1, Bor-Shong Liu1
1
St. John's University, Taiwan

This purpose of present study was used the signal detection theory toevaluate the proper way to identify the meaning of information signsin traffic facilities. An empirical study of information signs used in the
Taipei mass rapid transit system was performed to assess the proposedmodel. The clear and definite implication of posted signs and theimpact those signs have on cognitional decision-making were
measured by the sensitivity index d’ and bias β as defined by signal
detection theory. For the design of information signs, the ease withwhich a sign can be identified not only depends upon the clarity of thesigns but also depends on cognizable judgment tendency. A properly
designed pictograph will have an impact on the convenience of thegeneral public. Placing importance on sign design and humanconvenience will enhance the satisfaction of patrons with public
facilities.

Analysis of Design and Purchase Decision of Central Dust
Collection System
Yeasin Bhuiyan1, A.l. Khan2
1
Bangladesh University of Engineering and Technology, Bangladesh
2
University of Kentucky, United States

This paper presents a better solution for wood dust collection andconsumer understanding for the purchase decision making of thecentral dust collection system in case of Bangladeshi Furniture
Industries. Dust collection system is an integral part of furnitureindustries where quality products, proper safety, operations andmaintenance are sought. An efficient woodworking dust collection
system is a priority for furniture industries to maintain their business.
The greatest source of problems with dust collection systems is
improperly designed ducting and hood arrangements. In order tomake an educated decision in purchasing dust collector a clear
understanding of all the parameters involved is necessary. This paper
illustrates an improved design of central dust collection system forwoodworking taking into account appropriate control of dust suction
systems, moisture, air speed, duct and hood design, installation etc.
The proper equipment and design may cost a bit more initially but thecost of fire, explosion, the resulting down time and escalating
insurance costs make it a sound investment.

Session
Date
Time
Room
ChairsAbstracts

Global Manufacturing and Management
Wed, 7 Dec
11:00 - 12:30
Jupiter III
Alan Pilkington, Shin-Guang Chen

Role of Knowledge Management in World Class
Manufacturing: an Empirical Investigation
Abhijeet Digalwar1, Kuldip Singh Sangwan1
1
Birla Institute of Technology and Science, India

Today companies are facing important challenges such as the need toreduce the time-to-market, the development cost and manufacturingcost, or the management of products with more and more technology.
As a result, this current situation is encouraging the implementation ofworld class manufacturing and new management techniques such as
knowledge management (KM) to increase competitive advantage.
Many researchers theoretically justified the role and benefits ofknowledge management in world class manufacturing. In this study an
attempt has been made to empirically examine the role and benefits ofknowledge management in world class manufacturing.

Statistical Quality Control Measurement on Furniture
Manufacturer
1

Laurence1, Christine Puteri Utama1, Jessica Hanafi1
University of Pelita Harapan, Indonesia

A research on the application of statistical quality control technique
was conducted in a furniture manufacturing company. This company
produces a variety of wooden furniture, such as tables and chairs, tocater local and overseas customers. Based on initial observation, it was
found that the product with the highest percentage of defects is thefolding chairs. Statistical quality control technique was applied toensure that the products meet the standard specified. This research
identified five major defects based on the pareto rules. Those defects
are pin holes (26.03%), heart wood (22.5%), breakage (17.57%), cracks(17.57%) and discoloration (8.7%). The DPMO for the folding chair
production is 5,135.77 and the daily unreworkable cost for one of thecomponents of the chair is IDR 1,961,630.

The Influence of Geothermal Environment to the Quality ofPorcelain Insulator: A Correlation Analysis
Syahidah Yusoff1, Maman Djauhari1
1
Universiti Teknologi Malaysia, Malaysia

It is assumed that polluted environment reduces the quality ofporcelain insulator in terms of leakage current. In this paper we
conduct a correlation analysis to understand to what extent the
influence of geothermal area to the quality of porcelain insulator. An
example will be discussed and a recommendation will be presented.

Learning Organisation in New Zealand and Malaysian
Manufacturing Companies

Affandi Mohd-Zainal1, Jane Goodyer1, Nigel Grigg1, Jafri Mohd Rohani2
1
Massey University, New Zealand2
Universiti Teknologi Malaysia, Malaysia

This paper presents a comparison between learning organization
culture in New Zealand and Malaysian manufacturing companies.
Learning organization was measured by using Watkins and Marsick’s
Dimension of Learning Organisation Questionnaire (DLOQ) survey
questionnaire. The collected data were analysed to assess the reliability
and validity of the measurement score of the DLOQ. The data were
further analysed so as to determine the differences between New
Zealand and Malaysian companies with respect to the presence of alearning organisation-oriented culture. Results of the analysis showthat DLOQ are equally reliable and valid in both New Zealand andMalaysian manufacturing context. It was also found that there are
significant differences between New Zealand and Malaysia in several
dimensions of learning organisation; namely team learning, dialogue
inquiry and empowerment. The differences may be attributed to
cultural differences between New Zealand and Malaysia.

Integration of Production and Supply Chain Strategic
Planning for Renewable Resources under Sustainability
Considerations: Teakwood Case Study

Bobby Kurniawan1, Muhammad Hisjam2, Wahyudi Sutopo3
1
Bandung Institute of Technology, University of Sultan Ageng Tirtayasa, Indonesia
2
Sebelas Maret University, Indonesia
3
Bandung Institute of Technology, Sebelas Maret University, Indonesia

This paper studies developing country teakwood production andsupply chain under sustainability considerations. Although teak is arenewable resource, it requires long time to be harvested again.
Furthermore, teak demand tends to increase from time to time. A teakproduction and supply chain model is developed to find optimal teakproduction and distribution that maximizes economical aspect, while
maintaining renewable resource preservation and social benefit. Whole
stand growth model is used to simulate growth of the planted forest.
Linear fuzzy Chance Constrained Model (CCM) optimization is
deployed to find the solution and implement uncertainty to production
capacity, demand, and prices parameters. Simulation and optimization
are recursively conducted for every period of time. The result showsthat sustainability in teak industry can be achieved after rotation time.

On Work Performance for the Labor-intensive
Manufacturing
Shin-Guang Chen1
1
Tungnan University, Taiwan

Today, the pressure of economic globalization pushed many
manufacturers to move to the developing countries and to start thelower-cost labor-intensive manufacturing (LIM). For example, China iscalled the world factory in the global economy. The performance
evaluation for such kind of labor-intensive process is important forthese developing countries. The traditional productivity-based
performance indicators are usually used for evaluating the throughput
of an entity (an individual or a department). They may not be feasible
for assessing the aggregated performance in a complex process acrossvarious departments. This article proposes a novel probabilistic
method for evaluating the aggregated work performance in a LIM. The
proposed approach is not only assessing the aggregated process
performance, but also providing the suggestions of individual
enhancement for process improvement. Some numerical examples areillustrated to show the merits of this approach.

43

Session
Date
Time
Room
ChairsEngineering Education and Training
Wed, 7 Dec
13:30 - 15:00
Jupiter III
Seng Fat Wong, Richard Fung

In House Industrial Training for Mechanical Engineering
Students: a Multidisciplinary Approach
S.K. Li1, KK Lau1, Vincent Li1
1
Hong Kong University of Science and Technology, China

The integrated knowledge in the application of mechanical engineering,
microprocessor and electronic sensor technologies is becoming thebasic skill of a modern engineer in machinery based processes. To meetthis objective, we have developed a cross-disciplinary industrial
training to teach essential hard technical and soft project skills to themechanical engineering students in mid-curriculum. Ten groups ofstudents were selected to participate in a 150 hour program. The
students were required to design and build a robot with ability tofollow tracks and pick/place target blocks in specific locations. The
students were trained to integrate the knowledge of computer aid
design, electronics, sensor theories and motor technology to fabricate aworkable robot as a major outcome of this course. On completion of the
project, students competed for top robot honors by demonstrating theirrobots' movements and performance in pick/place to a panel of judges.

RFID-Aided Manufacturing Training System andLocalization
Seng Fat Wong1, W. I. Ho1, Zhixin Yang1, C. T. Kwok1
1
University of Macau, Macau

Knowledge transmission in workshop is relied on the demonstrationsof operating machines by senior technicians. It is time consuming andinefficiency, a trainer can teach few trainees simultaneously meanwhile
the performance cannot be ensured and is just depended on the
trainee's talent, and also some techniques may be lost. RFID-Aided
Training System is used for knowledge transmission, especiallyavailable in tacit to explicit knowledge for reducing manpower andtime. Compare with the other E-learning systems, the wirelesscommunication function of RFID can accrue automation to provide
inspection and data receiving for the knowledge base to keep on
growing. In this study, a professional training system for
manufacturing is developed, and RFID can be applied in different
approaches to enhance the system. Besides the simple login function,
the learning process monitoring, materials management, alerting safety
signal and the tool searching function with LANDMARC algorithm
can also be RFID aided.

Students' Experiences in Different Forms of Support during
Doctoral Studies
Katja Lahenius1, Salla Maatta2
1
Aalto University, Finland
2
University of Jyvaskyla, Finland

Doctoral student experience has been seen to have impact on study
satisfaction and further the successful degree completion. Earlier
research suggests that students need different forms of support during
their studies. Therefore, this study investigates how different forms of
support effect on doctoral students' experience in progress, particularly
in experienced progress in research. The study was conducted in one
Department of Industrial Engineering and Management in Finland.
The quantitative data (N=64) was collected for the study. The results
indicate that only network and peer support has a positive effect on
students' experienced progress in research.

44

Educational Game Concept for the Transfer of Results fromthe Transdisciplinary Research to the New Scientific
Generation

Abstracts

Florian G. H. Behncke1, Moritz King1, Udo Lindemann1
1Technische Universitat Munchen, Germany

Transfer of knowledge through educational games is emphasizedwithin the last decades to support the knowledge construction process,irrespective of the declining attention of the new scientific generation.
With the research driven nature of founded projects at university, thechallenge of knowledge transfer is even intensified by its specific andabstract character. This paper concentrates on the design of an
educational game, which features entertainment and educational value
at the same time in contrast to other approaches. Based on thepresentation of educational and game objective, the game concept
illustrates how results of transdisciplinary research can be transferredto the new scientific generation. Passing through the innovation
process of a product-service-system of a fictitious company, the player
accomplishes tasks, gaining a profound understanding of theinnovation process, cycles within that process and the underlying
methods. Therewith, the Cycle Labyrinth illustrates how abstract
knowledge is imparted to the new scientific generation.

Quantitative Analysis of International Mobility of Robotics
Researchers and Characteristics of Domestic Robotics
Research

Takao Furukawa1, Nobuyuki Shirakawa1, Kumi Okuwada1, Kazuya Sasaki2
1
National Institute of Science and Technology Policy, Japan
2
Utsunomiya University, Japan

The international mobility of robotics researchers is quantitatively
evaluated by analyzing biographical notes accompanying journal
papers. Mobility patterns illustrate that the United States, Canada, andSingapore attract robotics researchers from abroad as IQ magnets.
Canada can be considered as an alternative to the United States for
hosting Iranian robotics researchers. The relationship between thenumber of authors and bachelor's degree holders categorizes countries
as hosts or sources of researchers. The characteristics of active topics ofrobotics research in major countries are also mentioned.

Green Design Principles and Trends of Using Them among
Bangladeshi Consumer Goods Manufacturers
Md. Shahriar Jahan Hossain1, Nafis Ahmad1
1Bangladesh University of Engineering and Technology, Bangladesh

Environmental awareness continues to rise, and customers of all types
are realizing the importance of eco-friendly products which areessential to protect our planet. Green design rules are needed tosupport the implementation of environmental features in the practicaldesign situation. Green design or Design for Environment (DfE) is afield of product design methodology that includes tools, methods andprinciples to help designers reduce environmental impact. The main
objective of this work is to compile a set of DfE principles that are
useful during the design process. Later the trends of Green
Manufacturing in Bangladesh are studied. Today, many industries in
Bangladesh are aware of green design and implementing DfEprinciples. The present situations about the Green Design trends insome of the leading consumer goods manufacturers, Unilever
Bangladesh, PRAN-RFL Group and Rahimafrooz were studied.
Moreover the Government's recent initiatives concerning DfE are
discussed in this article. Though the list of compiled DfE principles isbased on best practices, further work is needed to expand the list.

Intelligent Systems
Abstracts
Wed, 7 Dec

Session
Date
Time
Room
Chairs

15:30 - 17:30
Jupiter III
Nan Chen, R. J. Kuo

Evolutionary-Based Support Vector Machine

R. J. Kuo1, C. M. Chen2
1
National Taiwan University of Science and Technology, Taiwan
2
National Taipei University of Technology, Taiwan

This study proposed a hybrid of artificial immune system (AIS) andparticle swarm optimization (PSO)-based support vector machine(SVM) (HIP-SVM) for optimizing SVM parameters. In order to evaluate
the proposed HIP-SVM's capability, six benchmark data sets,
Australian, Heart disease, Iris, Ionosphere, Sonar and Vowel, were
employed. The computational results showed that HIP-SVM has better
performance than AIS-based SVM and PSO-based SVM.

The Effectiveness of Hybrid Negative Correlation Learning
in Evolutionary Algorithm for Combinatorial Optimization
Problems
Ronnachai Sirovetnukul1, Parames Chutima2, Warin Wattanapornprom2,
Prabhas Chongstitvatana2
1
Mahidol University, Thailand
2
Chulalongkorn University, Thailand

Most evolutionary algorithms optimize the information from goodsolutions found in the population. A selection method discards the
below-average solutions assuming that they do not contribute any
information to update the probabilistic models. This work develops analgorithm called Coincidence algorithm (COIN) which merges negative
correlation learning into the optimization process. A knight's tour
problem, one of NP-hard multimodal Hamiltonian path problems, istested with COIN. The results show that COIN is a competitivealgorithm in converging to better solutions and maintaining diverse
solutions to solve combinatorial optimization problems.

A New Guillotine Placement Heuristic Combined with an
Improved Genetic Algorithm for the Orthogonal
Cutting-Stock Problem
Slimane Abou Msabah1, Ahmed Riadh Baba-Ali1
1
University of Science and Technology Houari Boumedienne, Algeria

The orthogonal cutting-stock problem consists in finding an optimalarrangement of n items on identical dimension bins. Several placement
heuristics are used to perform this task. In our article, we are interested
in the orthogonal cutting problem, taking into account the guillotine
and the orientation constraints. We propose a new placement heuristic
inspired by the BLF routine, which tries to place the items in levels, tocheck the guillotine constraint, while exploiting intra-levels residues, in
two directions, vertically, then horizontally. Our heuristic named
BLF2G, will be combined with an improved genetic algorithm, to becompared with other heuristics and metaheuristics found in literature,on made and existing data sets.

Intelligent System for Wind Generating Plant
Yoko Amano1
1
Nihon University, Japan

This paper proposes a new intelligent system for a wind generating
plant with various nonlinear uncertainties. The intelligent system
based on neural networks can adaptively control the wind generating
plant contained various modeling errors and parametric variations. For
increasing learning speed and simplifying an algorithm of the neuralnetworks, a new PD (Proportional Differential) learning rule of theneural networks is derived. In order to explain the validity and thereliability of the intelligent system, it is applied to a simulation modelof the wind generating plant with typical nonlinear uncertainties. The
simulation results show that the proposed intelligent system issuperior and powerful to the generating plant.

Collaborative and Non-Collaborative Dynamic Path
Prediction Algorithm for Mobile Agents Collision Detection
with Dynamic Obstacles in a Two-dimensional Space
Elmir Babovic1
1
FIT Mostar, Bosnia and Herzegowina

In this research a new algorithm for dynamic collaborative path
prediction for mobile agents is proposed. This algorithm is inspired byhuman behavior in group of dynamical obstacles. Mobile agent incollaborative manner uses coordinates of other mobile agents in thesame environment to calculate and based on statistical methods predict
future path of other objects. For this purpose spatial-temporal variables
are decomposed in order to optimize the method and to make it more
efficient. This algorithm can be used in mobile robotics, automobile
industry and civil aeronautics. Moreover this method allows fulldecentralization of collision detection which allows many advantages
from minimizing of network traffic to simplifying of inclusion of
additional agents in relevant space. This algorithm in his
implementation will be low resource consuming allowing mobile
agents to free resources for additional tasks.

Component-Integrated Sensors and Communication for
Gentelligent Devices

Ludger Overmeyer1, Lutz Rissing1, Marc C. Wurz1, Michael Dumke1, StefanFranke1, Tim Griesbach1, Alexander Belski1
1
Leibniz University Hannover, Germany

Parts which inherently store data about their fabrication, gain load data
during their life cycle, machine components that autonomously
monitor themselves and arrange inspections as required will be reality
in the Collaborative Research Centre 653. The vision of the CRC 653'Gentelligent Components in their Lifecycle - Utilisation of Inheritable
Component Information in Production Engineering' is thedevelopment of parts which exhibit a physical breakup of device andrelated information. This paper presents techniques of writing andreading information in the surface zone of mechanically stressed
devices, a modular micro sensor concept to measure load during thedevices production time and lifecycle as well as communication
strategies for data exchange between different components and oncomponent level.

Data Mining Application for Customer Segmentation Basedon Loyalty: An Iranian Food Industry Case Study
Ali Hajiha1, Reza Radfar1, Samira Sarafi Malayeri2
1Islamic Azad University, Iran
2
Islamic Azad University, United Arab Emirates

Data Mining (DM) is a powerful new technique to help companies
discover the patterns and trends in their customers’ preferences. It isalso a well-known tool for customer relationship management (CRM).
Data mining methodology has made a tremendous contribution forresearchers wanting to extract hidden knowledge and information.
This study has proposed a new procedure, based on an expanded RFM
model, by including two additional parameters D and C. It constructs amodel for clustering customer value based on RFMDC attributes andK-means algorithm. We evaluate the result and suggest suitablebehavior policies for each cluster. The developed methodology has
been implemented for Kalleh dairy company in Iran to illustrate theproposed procedure.

Technology and Knowledge Sharing Strategy in Systems
Engineering Practice performed by Indonesian Expatriate
Engineers
Ika Windiarti1, Timothy Ferris1, Matthew Berryman2
1
University of South Australia, Australia
2
University of Wollongong, Australia

Systems engineering practice performed by Indonesian expatriate
engineers involves intra-project-team cultural diversity. In culturally
diverse project teams, one of the key success factors in project
performance is technology and knowledge sharing. This paper
identifies elements of how technology and knowledge sharing work
performed in systems engineering practices is influenced bycross-cultural adaptation in multicultural work environments. We
interviewed 18 Indonesian engineers working outside Indonesia in
multicultural teams, about the implementation of systems engineering
practices in their experience and their knowledge of cross-cultural
adaptation. The results indicate three factors that influence thetechnology and knowledge sharing strategy in culturally diverse
project teams: communication; authority perception; and staff
development strategy.

45

Session
Date
Room

Poster Session 1
Wed, 7 Dec
Venus IIIAn Integrated Multi Agent Based Model to Find the Most
Agile Supplier
Hoda Ghahremanloo1, Mohamad Jafar Tarokh1
1
K. N. Toosi University of Technology, Iran

Agile Supply Chain Management (ASCM) increasingly becomes aneffective and important measure to enhance competitive advantage ofmodern enterprises. This paper contributes to the discussion on agility
in SCM and provides a novel focus on the integration in ASC. The
structure of Multi-agent systems inherently meets the requirements ofautonomy and decentralization for supply chains. This research
proposes a multi-agent-based model of ASCM that is capable ofsupporting the resource coordination between agents through a
combinatorial action mechanism as well as selecting agile supplier.
Finally, this model is validated by means of Fuzzy Multi objective
linear programming. Using mathematical deduction enables anintegrated ASCM model of selecting agile supplier being translated
into a linear programming problem and consequently it has beensolved by Lingo software.

Measuring Supply Chain of Packed Milk from Consumer
Perspective in Pakistan
Fariza Kamran1, Osman Babar1, Muhammad Asim2
1
National University of Sciences & Technology, Pakistan
2
Center for Advance Studies in Engineering, Pakistan

This paper aims to know consumer perspective of packed milk supply
chain in Pakistan. Comprehensive study has been carried out by
conducting survey from people belonging to different locations,professions and age. Overall industry has been our focus of study. It isfound that there is still potential to bring betterment and advancementin supply chain of packed milk industry. As trends of consumers
changing packed milk industry can flourish itself and provide better
options to its customers. By focusing on proposed strategy milk
industry can significantly increase its market share and can replace
Gawalas/ classic milkman (who sells fresh milk from door to door inmilk can).

Impact of Product Design Decisions within ProductDevelopment on the Supplier Selection Process at the
Automotive Industry
Florian G. H. Behncke1, Katrin Abele2, Udo Lindemann1
1Technische Universitat Munchen, Germany
2
Dr.-Ing. h.c. F. Porsche AG, Germany

Answering the competitive pressure, companies from the field ofcustomer and capital goods significantly reduce their in-houseproduction depth in favor of a higher involvement of suppliers. As aresult, a company’s success is dependent of the performance of their
supply chain. The selection of suppliers is supported by several
methods, which focus on operative decisions, but neglect the influenceof product design decisions within development on the selection
process. Based on the design decisions, significant areas of the supply
chain structure are determined implicitly. The resulting discrepancy
between the planned and the actual supply chain structure
determination, lead to a limitation of the latitude for the supplierselection. In order to improve the supplier selection process, this paper
presents effects of product design decisions on this process.

A Measurement Model for Collaboration between Suppliersand Manufacturers
Pingyuan Zou1, Hao Zhang1
1
Beijing Technology and Business University, China

This research establishes a measurement model to solve the problems
exist in the collaboration of the supply chain alliances, especiallybetween suppliers and manufacturers. This paper firstly identifies 21
indicators including the profit level and the management level of the
suppliers and manufacturers through expert brainstorming methodand determines weight of each indicator by experts scoring. Then theauthors get the collaboration index (C), comprehensive evaluationindex (T) and obtain collaboration degree (D) including Primary,Transition, Intermediate, Good and Excellent. At last, the authors do
empirical analyses using enterprise data to prove the model to bepractical and give suggestions to the enterprises to keep their strategic
collaboration.

46

An Optimization Model for Global Supplier Selection
Ramzi Hammami1
1
Toulouse Business School, France

Abstracts

In this paper, we propose an optimization model for the supplierselection in the global context. Pertinent global factors are consideredin the model such as the uncertainty and fluctuation of exchange rates
and the delivery lead time uncertainty. We linearize the model andsolve it with the commercial software Cplex. Some managerial insightsthat illustrate the practical and the theoretical interest of the model are
discussed.

Service Supply Chain Practices from the Perspective of
Malaysian Tourism Industry
T.K. Hong1, Suhaiza Zailani1
1
Universiti Sains Malaysia, Malaysia

The use of supply chain management is not mature generally inbusiness, and especially in the service sector. Studies of tourism supply
chains or their equivalents, such as tourism value chains or tourism
industry chains, have been limited. Therefore, this paper is mainly to
discuss on the relationship of service supply chain practices in tourism
industry in Malaysia. Due to the problems defined, this research needto investigate and examine the aspects that are the key elements tokeep and help the industry to be sustained.

Optimal Selection of Location for Distributed Generations to
Ensure a Competitive Advantage Using Fuzzy Analytical
Network Process
Mahdiyeh Montazeri1, Mohammad Saleh Owlia2, A Moghimi3, Mohamad
Kamalzadeh4
1Mazandaran University of Science and Technology, Iran2
Yazd University, Iran
3
Taft PNU university, Iran
4
Industrial Engineering, IranPopulation and industry growth has increased power consumption
and consequently development of new power generators is inevitablein country. Costs of high production and transfer for large-scale power
stations, has attracted new attentions to Distributed Generations (DGs)
in recent years. With considering the capacity and location of theseunits, significant improvements on the distribution networks could be
gained, although their miss-allocation will increase the network losses
and transmission and distribution costs. This paper was aimed atprioritizing suitable places for the construction of the DGs in Yazd
province in Iran. The ANP method was selected as decision making
model because of the interrelationship between the criteria and also
because the levels of decision could not be considered independently.
Besides, as human judgments have fuzzy nature, the analysis was
performed using fuzzy numbers. The criteria, sub-criteria andalternatives were specified by using the ideas of managers and experts
in Yazd Power Distribution Company.

A Self-Crossover Genetic Algorithm for Job Shop
Scheduling Problem
Shiwang Hou1, Yongjiang Liu1, Haijun Wen1, Yuepeng Chen1
1
North University of China, China

During the application of Genetic Algorithm (GA) for job shop
scheduling problem (JSSP), chromosome representation and evolution
strategy are the main consideration in order to guarantee the feasibilityof solution. Crossover operation between two feasible solutions(parents) may result in infeasible solution (offspring).Inspired by theexistence of self-reproducing in nature, this paper presents a
self-crossover genetic algorithm for job shop scheduling problem(JSSP). The chromosome representation of the problem is based on
work piece and the crossover operation is based on single individual.
The approach was tested on a standard six-job six-machine (6x6) JSSP.
The computational results validate the effectiveness of the proposed
algorithm.

A Solution to the Capacitated Lot Sizing Problem

Zhicong Zhang1, Weiping Wang1, Shouyan Zhong1, Kaishun Hu1
1
Dongguan University of Technology, China

We study a capacitated dynamic lot sizing problem with special cost
structure involving fixed setup cost, freight cost, production cost andinventory holding cost. The freight cost is proportional to the numberof containers used. We investigate the problem in which the maximal
production capacity in one period is integral multiple of the capacity ofa container and reveal the special structure of the optimal solution. We
transfer the lot sizing problem into a shortest path problem andpropose a network algorithm to deal with it. The T-period problem issolved in O(T4) effort by the network algorithm.

Non-cooperative Game Decision for Capacity Evaluation
under Output Demand Uncertainty

Simulation for Implementing RFID-EPC in Reverse Supply
Chain Based on Consumer Market

In order to solve decision problem for maximum production capacityof different products under output demand uncertainty, thenon-cooperative game theory was introduced to describe competition
relationship between various products for shared manufacturingresources. Firstly the production line model is built based on complex
network, which the manufacturing resources was aggregated to
manufacturing vertices and the process relationships was described as
directed edges between vertices. Secondly the production capacity wasevaluated through process analysis on running process of production
line and manufacturing vertices, which available capacity and duty
load of vertices were defined. Then the definition about Nashequilibrium was presented in course of solving maximum capacity.
Finally an aero-engine casing production line was regarded as theresearch object. Then the optimal production capacity under output
demand uncertainty is obtained. The effectiveness and feasibility ofgame decision model are proved.

RFID-EPC can help to reduce the uncertainty of the quantity ofcollected used-products in reverse supply chain by using real-timemonitoring. At the same time, the monitoring cost will affect the total
profit of the reverse supply chain. So, when to implement RFID-EPC isa crucial problem. In this paper, we will simulate the implementing of
RFID-EPC in reverse supply chain based on the consumer market:
demand exceeds supply, supply exceeds demand, and demand equals
supply approximately. Demand means the demand of remanufactured
products and supply means the supply of collected used-products. The
simulation results show that the implementing of RFID-EPC will
increase the total profit of the reverse supply chain when demand
exceeds supply and demand equals supply approximately. RFID-EPC
can be implemented in reverse supply chain in these two situations.
When supply exceeds demand, RFID-EPC shouldn’t be implemented.

Author Index

Ting Yang1, Dinghua Zhang1, Bing Chen1, Shan Li1
1
Northwestern Polytechnical University, China

Losses Caused by the Presetting of Tools by the Manual
MethodMilton Vieira Junior1, Jose Martinele A. Silva1, Ivan Correr2, Nivaldo L.
Coppini1, Elesandro A. Baptista1
1
University Nove de Julho, Brazil
2
GeoTecno Solucoes em Automacao, Brazil

In the search for competitiveness machining companies are applying
concepts of lean manufacturing, like the fast setup, for the eliminationof losses in the process. However, most of the companies users of CNC
machines still face a significant barrier in this field: the presetting oftools is usually performed manually, and requires high times for the
preparation of the machines. In this paper the losses in production
caused by the manual presetting operations are detached, showing theresults in terms of delays generated in the setup operations ofmachines, and also the reductions in the utilization rates of CNC
machines.

Feature Fatigue Analysis Based on Behavioral Decision
MakingMingxing Wu1, Liya Wang1
1
Shanghai Jiao Tong University, China

Feature fatigue represents the phenomenon that customers prefer tochoose high-feature products at the purchasing moment (before use);
but once they start using the products (after use), they become
overwhelmed by the complexity of these high-capability products andannoyed by the features they realize they don't want or need. Feature
fatigue will decrease customer satisfaction and negatively impact
manufacturer's long-term profit. In this paper, we propose a novel
method based on behavioral decision making theory to analyze feature
fatigue. We adopt six-dimensional perceived value model to analyze
the effect of adding features on customer's perceived value before andafter use. Further, we propose an analysis model to analyze feature
fatigue quantitatively.

Value Stream Mapping Simulation Using ProModel
Software

Nivaldo L. Coppini1, Luiz C. Bekesas1, Elesandro A. Baptista1, Milton Vieira
Junior1, Wagner C. Lucato1
1
University Nove de Julho, Brazil

Value Stream Mapping (VSM) is a tool that has been used in leanmanufacturing to redesign production systems in several industrial
sectors. As part of lean principles, the VSM is a pictorial technique used
to identify several kinds of wastes existing in the manufacturing floor
and enables an easy way to visualize possible alternatives to eliminate
them. The company considered for the research is a traditional
manufacturer of industrial gearboxes and auto parts, who has beenusing the VSM to locate and eliminate wastes for a family of products.
This paper proposes the utilization of ProModel® 7.0 software as asimulation tool to build-up and evaluate several alternatives for the
future state value stream map (FSVSM). As a result it was possible toconclude that simulation represents a valuable strategy to obtain an
optimized solution for the FSVSM, as it allows the analysis of several
alternatives and many manufacturing indicators.

Qiaolun Gu1, Tiegang Gao2
1
Tianjin University of Technology and Education, China
2
Nankai University, China

The Use of Artificial Neural Network (ANN) for Modelingof Diesel Contaminated Soil Remediation by Composting
Process
Mehrdad Khamforoush1, M-Javad Rahi1, Tahmas Hatami1, Kourosh
Rahimzade2
1
University of Kurdistan, Iran2
National Iranian Oil Products Distribution Company, IranIn this study two models for remediation of diesel contaminated soil bycomposting process were used: mathematical modeling and artificial
neural network (ANN) modeling. The mathematical model was solved
iteratively and validated with experimental data. Then, a three-layerback propagation ANN was trained, tested and validated to predict thedecomposition of diesel in contaminated soil according to 3600 data
sets which were obtained from mathematical model. The Best neuralnetwork result has been obtained with one hidden layer network, with
14 neurons. “tansig” for hidden layers and “purelin” for the output
layer gave the best performance compared to other activation functions.
The ANN architecture contains six inputs. Diesel decomposition
percent is the only output of ANN. ANN predicted results are very
close to the target data. The high correlation coefficient, 0.9995,
between the network prediction and the corresponding data provesthat ANN modeling is a satisfactory method for remediation process.

Integrated Development of Space Systems - Design for AIT Design for Assembly, Integration and Testing of Satellites D4AIT
Adalberto Coelho Silva1, Geilson Loureiro1
1
National Institute for Space Research, Brazil

The Satellite Assembly, Integration and Testing (AIT) activities are a
logical and interrelated sequence of events. The main objective in thisphase of a space program development is to achieve a high degree ofconfidence that the satellite complies with its specified performanceparameters. Traditional simultaneous engineering space systems (e.g.
satellite) development can have a better approach for taking into
consideration AIT requirements during the initial phases of satellite
conception and project detailing. By combining model driven systemdesign approach with simultaneous engineering concepts for processmodeling, AIT requirements at system level can be dealt with during
satellite conceptual and detailed design. AIT requirements compriseelectrical, mechanical and environmental requirements. This paper
aims to present a new process for the development of satellites, that
includes - electrical, mechanical and environmental requirements ofassembly, integration and testing (AIT) of satellites, at the system level,already at the design stage of the satellite project.

Using Structural Complexity Management for Design
Process Driven Modularization

Harrys Daniilidis1, David Hellenbrand1, Wolfgang Bauer1, Udo Lindemann1
1Technische Universitat Munchen, Germany

High internal complexity and variety is a common situation nowadays
in most enterprises. In order to reduce complexity and thereby costs
and development time enterprises strive to rationalize their productarchitectures through modular design. This paper introduces asystematic approach and methodology to modularize a productarchitecture from the design process viewpoint by using the generalprocedure of structural complexity management.

47

Study on Dynamical Properties and Simulation of a FourDimensional Nonlinear Discrete Dynamics
Jing Peng1, Zehua Miao2, Luoping Zheng3
1
Shijiazhuang University of Economics, Tianjin University, China
2
Shijiazhuang University of Economics, Beijing Institute of Technology, China
3
Shijiazhuang University of Economics, China

We study a nonlinear discrete dynamic game model of an oligopoly
market. In order to study competition process of the players, the paper
considers a Bertrand model with bounded rationality. A game withfour oligopolies is modeled by a four-dimensional nonlinear difference
equation set. The stability of the equilibrium point are discussed. We
demonstrate rich dynamical behaviors of the system. The chaotic
features are justified numerically via bifurcation diagrams, themaximal Lyapunov exponents and the system’s sensitive dependence
on initial conditions. It is demonstrated the increasing of priceadjustment parameters might change stability of the Nash equilibrium
and cause bifurcation and chaos. Different from the former literatures,
we find that chaos maybe caused by interaction of some elements ofthe system. On that basis, the main factors might lead the system tochaos are discussed.

Organizational E-Readiness Impact on E-Procurement
Implementation

Naseebullah Langove1, Shuib Bin Basri1, P. D. D. Dominic1, Muhammad
Jehangir1
1
Universiti Teknologi Petronas, Malaysia

Electronic Procurement (E-procurement) has been recognized as acompetitive source to improve the service of delivery and reduce thecost of goods. However, the successful implementation of
E-procurement is uncertain among procurement executive due to nonorganizational e-readiness. This paper presents an organizationale-readiness model that significantly contributes to E-procurement
implementation. A quantitative survey approach is used to collect datafrom a sample of 142 manufacturing industries of Malaysia. The
findings show that top management support, IT infrastructure andsuppliers support/commitment has a positive correlation andsignificant relationship with organizational e-readiness whileorganizational e-readiness has a strong positive correlation andsignificant relationship with E-procurement implementation.

Technological Economic Study for Ocean Energy
Development in China
Tianqi Wang1, Peng Yuan2
1
Zhejiang University, China
2
Ocean University of China, China

This paper reviewed both domestic and abroad development of oceanenergy exploitation, stressed on the importance of technologicaleconomic analysis approach and established comprehensive evaluation
system of utilization projects. We apply fuzzy comprehensive
evaluation method, Delphi method and analytic hierarchy process tointegrate evaluation results of economic, social and environmental
effectiveness. This paper also prospected future of ocean energy
development and gave some suggestions on speeding up developmentof ocean energy in China.

Profit Generation in a Machining Service Provider Optimization Combining Theory of Constraints andContribution Margin Concept

Elesandro A. Baptista1, Wagner C. Lucato1, Nivaldo L. Coppini1, Milton
Vieira Junior1, Luiz C. Bekesas1
1
University Nove de Julho, Brazil

This paper proposes a method for machining service providers todetermine cutting speeds that could maximize their financial returns.
This is done based on measures considered by the Theory ofConstraints (TOC) and the contribution margin concept. It starts bydefining the cutting parameters and their relationship to the machining
costs. Also, TOC principles are examined in relation to the financial
gains obtained as a result of the bottleneck analysis. Finally, this paper
proposes to combine both sets of concepts in such way that a
relationship between financial gains and cutting speed is established. A
graphical solution identifies the cutting speed that maximizes thefinancial gains for a given part and a linear programming approach
expands the concept for real life situations where several different
parts are machined at the bottleneck. Hence this approach could be
helpful to machining service providers for maximizing theirprofitability fully utilizing their bottleneck equipment.

48

Understanding Project Success: The Four-Level Project
Success Framework

Author Index

Eskander Howsawi1, David Eager1, Ravindra Bagia1
1
University of Technology Sydney, Australia

It is acknowledged in project management literature that a project's
success means different things to different people. This implies that thedefinition of success will be different for each project. However,success is a common goal for projects regardless of the specificdefinition for each project. This statement implies that there can be acommon approach in planning for success and generalized frameworkthat can guide the process of defining and planning the project successfor different projects. This paper presents the underlying frameworkthat directs the optimum success definition and planning process.
Through a literature review and classification of success criteria, afour-level success framework was developed, namely: context level;business level; product level; and project process level. This framework
explains the relationship between levels and provides guidelines for
decision process. The framework is generalized and can be applied tomost projects.

Probabilistic Sustainable Design Using Multiobjective
Optimization Model
Jui-Sheng Chou1, Thanh-Son Le1
1
National Taiwan University of Science and Technology, Taiwan

Project managers (PMs) are currently charged with achieving a balance
between cost and duration, and must consider environmental factors toreach sustainable development. This work proposes a novel
probabilistic multi-objective optimization algorithm to attainsustainable construction cost, project duration, and CO2 emissions
simultaneously in an uncertain project environment. The algorithm,
based on particle swarm optimization integrated with Monte Carlosimulation, is applied to generate a low-carbon economy and cleaner
production. A typical construction project is selected to demonstrate
the application for making sustainable decisions with a set ofnon-dominant design solutions under multi-objective optimization.

The Role of Time, Cost and Quality in Project Management
Nurul Izah Anuar1, Poh Kiat Ng1
1
Multimedia University, Malaysia

Project management has emerged as a field of practice that is being
used increasingly by organizations to achieve their business goals.
Since the concept ‘survival of the fittest’ best describes today’s businessenvironment, good project management performance assessment tools
are needed in order to make an organization ‘the best of the best’.
Project completion within time and cost, while maintaining quality isvery important for the success of projects. Therefore, the purpose ofthis paper is to analyse the key variables of time, cost and quality anddetermine their roles in project management performance. A problem
was constructed together with different scenarios to analyse therelations of these variables according to conditions given. With the helpof Microsoft Project, the authors were able to narrow down thefindings in all scenarios and summarize the patterns of strategies basedon these variables to make an appropriate decision on planning the
project.

A Study of Measuring the Impact of Employee Perception on
Business-IT Alignment via Neural Network
T. C. Wong1, Shing-Chung Ngan1, Felix T. S. Chan2, Alain Y. L. Chong21City University of Hong Kong, China
2
Polytechnic University of Hong Kong, China

In this study, an attempt has been made to investigate the connectivity
strength of employee perception on the successful implementation ofbusiness-IT alignment. To be specific, we first justify and verify theconnection between several employee perceptions and business-ITalignment through hypothesis testing, and then measure the relative
importance of each perception onto business-IT alignment via neuralnetwork computation. Our findings suggested that perceived
employee communication has the strongest relationship withbusiness-IT alignment, followed by employee knowledge andemployee trust. Specifically, employee communication and knowledge
are two major perceptions that affect the success of the business-ITalignment.

New Insight into Technology Licensing Strategy andInnovation Performance: Evidence from Chinese Latecomers
in High-tech Industries

Adoption of Hierarchical Structure for Web Document
Analysis in Knowledge Management System

As a catalyst for endogenous technological change, inward technology
licensing can improve firm’s innovation performance. This paper
investigates the effect of learning by licensing and strategic choice oftechnology licensed in on subsequent innovation performance. We
extend the inward technology licensing strategy to the latecomer
context, addressing two critical factors: (1) number of licenses and (2)age of technology licensed in. We hypothesize about the relationship ofthe licensee’s innovation performance with number of licenses and ageof technology licensed in, as well as the moderating effect of thelicensee’s absorptive capability. Based on a sample of 154 Chinese firms
from four high-tech industries, empirical evidence is found to support
our arguments.

The objective of this paper is to analyze a web structure by means ofusing evidential reasoning to logical hierarchy structure. During thesearching on the web, the search engine will return a set of web
documents. But some web documents do not fit what we are looking
for. The targeted documents are called relevant document, and therests are irrelevant documents. Our focus is placed on the web
document structure and link analysis. The web documents are groupedin an appropriate label and organized in logical hierarchy structure.
The theorems proposed by Watada will employed to analyze the valueof concepts or events in logical hierarchy structure according to belief
and plausibility functions. From these values “influence events” can be
determining when an irrelevant document is included in the web
document about Tourism Management.

Yang Yang Zhao1, P.K. Wong1, A. M. Subramanian1, C. C. Hang1
1
National University of Singapore, Singapore

Functional Semantic Retrieval for Effects Knowledge Base
Hongtao Wu1, Jinling Zhang1, Jianhong Ma1, Runhua Tan1
1
Hebei University of Technology, China

For resolving a technical problem in innovative design, designers
usually try to find the appropriate effects relevant to the required
function from effects knowledge base. So it is very important toretrieve effect in terms of its function. This paper explores
ontology-based functional semantic retrieval for effects knowledge
base. To tackle the insufficient reasoning ability of functional
representation of "Verb + Noun", the functional semantics of effects isrepresented as [input flow list, action verb, output flow list]. Thus, thechains of effects are automatically built based on ontology reasoning tosupport complex functional design. Also, functional ontology is used to
expand the functional keywords in order to provide a variety of
retrieval cues and trigger design inspiration. Using the functionalsemantic retrieval, designers obtain the lists of effects or effects chainsrelevant to the required function, which greatly widen the solution
space and increase opportunities for product innovation.

Constructing a Dynamic Evaluation Model for Corporate
Diversification ─ The Thin-film Solar Cell
Chang-Lin Yang1, Rong-Hwa Huang1
1
Fu Jen Catholic University, Taiwan

This study focuses on thin-film solar cell investment in the green
energy industry, collecting and screening key factors of dynamic
evaluation and presenting them to experts for modification. Thisevaluation model comprises three stages, namely planning, setup andimport, with dimensions such as macro environment, group resource,
supply chain, market, technology, equipment, raw material and financebeing used to help operators evaluate the enterprise resource situationand decrease the input failure factor.

A Study of Inter-firm Network and Knowledge Integration
Impact Mechanism on Absorptive Capacity
Zhigang FAN1, Shuai GENG2, Xiaoying PENG1
1
Hangzhou Normal University, China
2
Zhejiang University City College, China

For local enterprises which Integration into the global manufacturing
network, the importance of using external information has been
increasingly paid attention by scholars. This paper propose and test amodel of how interfirm network effect firm’s absorptive capacity. Using
data of manufacturing firms, the results indicate that Network
centrality and size of network have significant positive effects on
potential absorptive capacity of enterprises; the strength of networkties was no significant positive impact potential absorptive capacity ofthe enterprise. The empirical results suggest that the potential
absorptive capacity has mediating effects on the relationships between
firm network and firm’s realized absorptive capacity. In addition,
coordination knowledge integration mechanism has moderation effects
on the relationships between firm’s potential absorptive capacity andrealized absorptive capacity.

Rozlini Mohamed1, Junzo Watada2
1
University Tun Hussein Onn Malaysia, Malaysia
2
Waseda University, Japan

Activities and Problems in New Product Development
Process in the Networking Industry - A Case of Different
Business Models
Min-Sun Wuang1, Shu-Min Chiang1
1
Fu Jen Catholic University, Taiwan

Facing intensive changes in the external environment in a globallycompetitive market, as well as rapid technological changes and varied
consumer demands, enterprise survival has become an important topic.
Firms should focus on developing products that are higher quality andmore reasonably priced than those of competitors, to increase theirprofits and establish a competitive advantage to satisfy and fulfill
customer needs, making new product development an important topic
for discussion. This study classified business models into two types,
OBM and ODM, and classified four stages of new productdevelopment, Proposal and Planning stage, Product Development
stage, Trial Run Planning stage, and Mass Production stage. This study
examines networking firms in Taiwan using six case studies, to identify
the representative activities during each NPD stage, such as productfeasibility evaluation and product proposal establishment, as well as
project team member determination/project milestone establishment
and development budget estimation during the proposal and planningand product development stages, EVT proceeding in the productdevelopment stage, DVT proceeding and PVT proceeding in the trial
run planning stage, and customer PO acceptance, shipment delivery
and project final result survey in the mass production stage, and eachactivity will undoubtedly encounter different marketing, productdevelopment and process development problems.

A Case Study on the Importance of Knowledge Management
in Creative Product Development
Poh Kiat Ng1, Nurul Izah Anuar1
1Multimedia University, Malaysia

Knowledge management (KM) initiatives on innovation and productquality have developed a whole new level of strategy and competitive
advantage for many industries. However, researchers believe that
although employee motivation in knowledge sharing is important, it
becomes a neglected issue. The key issue here is that employees should
realize that KM initiatives are linked very strongly to new productdevelopment (NPD). KM involves creativity and knowledge creation
which are both important factors when it comes to addressing concerns
connected with the product life cycle during the design phase.
Therefore, the aim of this study is to examine the importance of KM in
NPD with a special emphasis on facets such as creativity and productdevelopment performance seeing as these two factors are specified at
the design stage of a product life cycle. For this study, a survey analysis
was carried out and analyzed using multiple linear regression analysis.

Improving a Model for New Service Development
Alireza Sheikhzadeh1, Hamed Heidari1
1
Amirkabir University of Technology, Iran

The new service development (NSD) process has become vital tosurvive in highly competitive service sectors. This research suggests a
methodology for the New Service Development process, aiming at thecorrect systematic approach of Quality Function Deployment (QFD)
and target-costing in cost management. QFD and target-costing arecomplementary processes, because while one allows the identificationof where cost reduction could be achieved, the other shows the target
to be achieved to guarantee the long-term profitability plan of acompany. In order to do that, Factors considering server’s aspect ofaction are defined in a group of five as Service Package, and theoutputs understood by customers are grouped as Customer-Desired
Performance (CDP). The final aim of this model is to reconcile these
two aspects having in mind the importance of voice of customer and49

firm's benefit which are respectively interpreted as worth and value.

HSR Buying Behavior Modeling-Taiwan High Speed
Railway Case
Hsiao-min Chuang1, Chihpeng Chu2, Yu-tzeng Lin3
1
St. Mary's Medicine, Nursing and Management College, Taiwan
2
National Dong Hwa University, Taiwan
3
Taiwan Tourism & Hospitality Management College, Taiwan

This study identifies the consumer behavior by adopting the theory ofplanned behavior and the consumer logistics theory to model Taiwan
High Speed Railway consumers' buying behavior. Through 242
effective questionnaires collected and Structural Equation Model
analysis adopted, the authors conclude: 1. Trust significantly affects theperceived behavior control, the subjective norm and the attitude,
furthermore the intention to ride HSR. 2. The influence of novelty isinsignificant. 3. Safety/Cleanness is critical to affect both the efficiency
and effectiveness, hence the intention to ride HSR. 4. Connectivity
significantly affects efficiency, and the intention to ride HSR, but the
impact on effectiveness is negligible. 5. Consumers with different
riding purposes and distances respond to the price changes differently.
The study concludes with strategic suggestions presented to THSRC
for better marketing performance.

An Approach of Quality Management in the Small Business
Environment of South Africa
Bingwen Yan1, Li Zhang1
1Cape Peninsula University of Technology, South Africa

Under the recent global worldwide economic crisis, small businessenterprises (SBEs) are considered to be a major force behind the South
Africa’s economy. Regarding the strategy of quality management,
probably the most serious constraint of SBEs is that the management isoften constantly under time pressure, usually dealing with the urgent
staff and operational matters. Quality management does not form thestrategic basis of SBEs, which impacts on their sustainability as
business enterprises. Thus, an effective quality management strategy is
crucial to the sustainability of SBEs. This study proposed a quality
strategy model by applying Plan-Do-Study-Act (PDSA) cycle for SBEs.
A quantitative research paradigm was applied in the research.
Cronbach’s Alpha was utilised to test the reliability of each componentof the model. The study results indicate that the proposed quality
strategies can be implemented effectively by SBEs to ensure theirsustainability.

50

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (4)Thu, 8 Dec
11:00 - 12:30
Venus I
Usha Ananthakumar, Feng-Chia Li

Genetic Algorithm for the Project Scheduling Problem with
Fuzzy Time Parameters
Yilun Huang1, Yongyi Shou1, Linda Zhang2
1
Zhejiang University, China
2
IESEG School of Management, France

It is essential to allocate scarce resource and schedule the activities
effectively so as to improve the project performance. Due to inherent
uncertainties of the environment and activities, a mathematical modelwith fuzzy time parameters is adopted for the resource-constrained
project scheduling problem. A genetic algorithm based on a fuzzyparallel schedule generation scheme is proposed. Two schemes offuzzification are adopted for activity durations. Computational tests
show that triangular fuzzy time parameters would be preferred.

Detection and Improvement of Deficiencies and Failures in
Public- Transportation Networks using Agent-Enhanced
Distribution Data Mining

Eugene Levner1, Avishai Ceder2, Amir Elalouf3, Yuval Hadas3, Dvir Shabtay4
1
Ashkelon Academic College, Israel
2
Technion-Israel Institute of Technology, Israel
3
Bar Ilan University, Israel
4
Ben-Gurion University of the Negev, Israel

The main goal of this paper is to develop a general methodology forboth pinpointing the weak elements of public transportation (PT)systems and finding least-cost solutions for improvements. The
methodology is based on network routing, scheduling, and real-time
control algorithms. These algorithms detect deficiencies and failures of
the PT network and in operations planning. The main practicalobjective and challenge of this work is to provide a decision-support
system for the prognosis and detection of the deficiencies of the PT
network and measures required to their remedy. The system is basedon off- and online algorithms and methods associated with multi-agent
systems.

Forecasting the Exchange Rate between ASEAN Currencies
and USD
Tien-Chin Wang1, Su-Hui Kuo1, Hui-Chen Chen2
1
National Kaohsiung University of Applied Sciences, Taiwan
2
Kansai University, Japan

Pricing Annuity Insurance Integrating Mortality
Improvement Risk, Interest Rate Risk, Insolvency Risk andInsurance Demand
Hong Mao1, Krzysztof M. Ostaszewski2, Yuling Wang3
1
Shanghai Second Polytechnic University, China
2
Illinois State University, United States
3
Shanghai University of Finance and Economics, China

In this paper, we discuss the pricing of annuity insurance. We
emphasize how to consider the mortality risk in pricing model and at
the same time, integrate interest rate risk, insolvency risk andinsurance demand. The results of our analysis show that it is beneficial
to both of consumers and insurers if considering the factor of mortality
improvement in pricing of annuity insurance.

Possibilistic Programming Decision Making in Modality
Perspective
Arbaiy Nureize1, Junzo Watada1
1
Waseda University, JapanThe decision making faces a number of inherent uncertainties. The
uncertainty of parameters of a model comes from vagueness andambiguity included in the model structure and information. In thispaper we present the decision model from the perspective of
possibilistic programming to treat properly uncertainties in thedecision making. The proposed concept plays a pivotal role in building
fuzzy linear programming model, which is exposed with various typesof uncertainties. The treatment of vagueness and ambiguity is given
and a modality approach is used to solve the fuzzy linear program. An
illustrative example explains the proposed model.

Towards a Lifecycle-oriented Planning of a Platform
Portfolio

Sebastian A. Schenkl1, Robert Orawski1, Fatos Elezi1, Udo Lindemann1
1Technische Universitat Munchen, Germany

Product platforms are an approach of variant management which is
widely used in industry. During the planning process of a platform
portfolio, the scope for development of derivative products based on aplatform is limited to some extent. In this paper, we address temporal
aspects of a platform portfolio. The task during the planning process is
to find an optimal compromise of the scheduling of products andplatforms with their revisions. To gain a decision-making ability about
the future platform portfolio, dynamic changes during the lifecycle ofproduct platforms must be anticipated. That can be achieved byforecasting changes and variations of a company's context and within
the own organization and to analyze its impact on the platform
portfolio.

As the US has growing financial ties in Southeast Asia, how toaccurately predict the ASEAN currencies becomes more and more
important. This study applied the GM (1,1) model [6,9,10,11] to predict
the exchange rate between the SGD and USD, IDR and USD, THB and
USD, MYR and USD and PHP and USD from Jan 2002 to Feb 2011.The
results show that the average accuracy of the forecasting model
exceeds 99.38%.

51

Session
Date
Time
Room
Chairs

Decision Analysis & Methods (5)Thu, 8 Dec
13:30 - 15:00
Venus ISzu Hui Ng, Ronnachai Sirovetnukul

About Combined Non-Expansive and Potentially Expansive
Properties of a Class of Self-Maps in Metric Spaces
Manuel De La Sen1
1
University of Basque Country, Spain

This paper investigates self-maps which satisfy a distance constraint ina metric space which mixed point-dependent non-expansive properties,
or in particular contractive self-maps, and potentially expansive
properties related to some distance threshold. In this way, the self-map
may be expansive for small distances and contractive for large ones.
The above mentioned constraint is feasible in certain real -world
stability problems of usefulness as when discussing ultimateboundedness in dynamic systems.

A Preliminary Study About the Application of Multicriteria
Decision Aid to the Evaluation of the Road Projects'
Performance on Sustainable Safety
Renaud Sarrazin1, Yves De Smet2
1
Universite Libre de Bruxelles, Belgian Road Research Center, Belgium
2
Universite Libre de Bruxelles, Belgium

Since 2002, improving road safety has been a main issue in policies fortransport and mobility in Europe. In Belgium, the Federal Commission
for the Road Safety had defined an objective of reducing the number ofdeaths on Belgian roads to 500 by 2015. Then, this research aims to
improve road safety on Belgian roads by developing a multicriteria
decision aid model for the evaluation of sustainable road safety on
secondary rural roads. In this preliminary study, we describe theapproach which led us to the development of the first elements of our
methodology. At first, we define the set of criteria that structures the
problem, and then, we apply them to a specific case study - theredevelopment of the N243a. Finally, we analyze the results to provethe complexity of this type of problems and to point out the usefulnessof a multicriteria decision aid methodology to resolve them.

Exploration of Product Value - Characteristic Relationship:
Partial Least Squares Path Modeling for Product Design andDevelopment
Chathura Withanage1, Taezoon Park1, Truong Ton Hien Duc2, Hae-Jin Choi3
1
Nanyang Technological University, Singapore
2Singapore Institute of Manufacturing Technology, Singapore
3
Chung-Ang University, South Korea

Estimating the product Value-Characteristic (VC) relationship is themost important task for deciding on the mix and the levels of productattributes of a new product targeted at a well established productmarket segment. In this paper, Partial Least Square Path Modeling wasused to investigate the VC relationship of the US Sedan car market
sales data from 2008 to 2010. A two-phase case study was conducted toachieve two primary objectives of empirical validation of Customer
Revealed Value (CRV) as an indicator of the value generated byproduct characteristics; and formulation of a simplified VC model withmost influencing variables. CRV was successfully validated, and it wasused to get the simplified model with an improved goodness of fit
value. In addition, CRV was used for the first time to explore the VC
relationship of a market segment with latent variables in this study.

Comparison between Regression Analysis and Artificial
Neural Network in Project Selection.
Oludolapo Olanrewaju1, Adisa Jimoh1, Pulek Kholopane2
1
Tshwane University of Technology, South Africa
2
University of Johannesburg, South Africa

A common problem faced by managers is that of project selection, todecide which project out of the lots should be undertaken. This paper
aims at comparing results of the application of two
approaches-respectively regression analysis, a parametric method andartificial neural network, a non-parametric technique. To demonstratethese methods, the models were illustrated using Oral, Kettani andLang's data on 37 R&D projects for their success. From statisticalanalysis, it was discovered that artificial neural network showedsuperiority to deciding how projects should be ranked and selected.

52

Application of TOPSIS Method for Evaluating the Temporal
Dimensions of Marand City in Urban Design
Maliheh Hashemi1, Mehdi Amiri-Aref2
1
Tabriz Islamic Art University, Iran
2
Mazandaran University of Science & Technology, IranIn this paper, a multi-criteria decision making problem to evaluation of
the temporal dimension for a number of places in Marand City, Iran by
TOPSIS method is implemented. Places with higher score and lower
score, respectively, regarding to the temporal dimension in urban
design are introduced. It is a vital decision for the urban managers.

Production and Raw Material Ordering Management for a
Manufacturing Supply Chain with Uncertainties
Wei Xu1, Dongping Song1, Michael Roe1
1
University of Plymouth, United Kingdom

This paper considers the problem of joint production and raw material
ordering management in a manufacturing supply chain with uncertain
supply (due to information quality) and uncertain production (due to
product quality). Several strategies are presented to improve thesupply chain performance. Simulation method is used to compare thestrategies with a case company's existing practice using realistic data.
The scenario analysis demonstrates that relative merits exist fordifferent strategies. It appears that safety production and safety
ordering are necessary as the level of uncertainties increases.

Features Selection Approaches Combined with Effective
Classifiers in Credit Scoring
Chia-Ching Lin1, Chin-Chih Chang2, Feng-Chia Li2, Tzu-Chin Chao3
1
Yu Da University, Taiwan
2
Jen-Teh Junior College of Medicine, Nursing and Management, Taiwan
3
Hwa Hsia College, Taiwan

With the rapid growth in the credit industry, credit scoring models arebeing widely used for credit admission evaluation. Credit scoring has
been regarded as a critical topic, with its related departments striving
to collect huge amounts of data to avoid making the wrong decision.
Finding effective classificatory models is important because it will help
managers make an objective decision instead of them having to rely
merely on intuitive experience. This study proposes three approaches
which combine two well-known classifiers, namely, K-Nearest
Neighbor (KNN) and Support Vector Machine (SVM), to find the best
hybrid classifier combination. Features selection retains sufficient
information for classification purposes. Different credit scoring
combinations are constructed by selecting features with three
approaches and two classifiers. Two credit data sets from University ofCalifornia, Irvine (UCI) are chosen to evaluate the accuracy of various
hybrid features selection models. KNN abd SVM classifiers combinewith linear discriminate analysis (LDA), Rough sets (RST), and F-scoreapproaches as a features preprocessing step to optimize features spaceby removing both irrelevant and redundant features. In this paper, theprocedures of the proposed approaches are described and thenevaluated by their performances. The results are compared andnonparametric test will be performed to show if there is any significant
difference between these models. Performances of the F-score approachcombined with effective classifiers are brilliant among the two data sets.
The result of this study suggests that the hybrid credit scoring
approach is mostly robust and effective in finding optimal subsets andis a promising method in the field of data mining.

Session
Date
Time
Room
ChairsManufacturing Systems (1)Thu, 8 Dec
15:30 - 17:30
Venus I
Zhaotong Lian, Jannes Slomp

Integrated Optimisation of Facilities Layout and Material
Handling System
Dhamodharan Raman1
1
CQUniversity, Australia

The existing methodologies to independently optimise facilities layout
design and material handling system (MHS) are mainly based onminimising the material handling cost and acquisition cost and haveneglected several critical variations inherent in a manufacturing system.
This is despite the fact that the inherent variability causes anaccumulation of work-in-process (WIP) at the various stages of
production which eventually affects competing strategies of amanufacturing enterprise such as time, cost and quality. Therefore, anintegrated methodology that incorporates the manufacturing
variability and concurrently optimises the layout design and MHS is
discussed in this paper. Queuing model is utilised to model the
manufacturing system variations and genetic algorithm has been
implemented to solve the integrated optimisation problem. It is also
demonstrated that the proposed integrated optimisation approach cansignificantly improve a production system with respect to total
travelling time, total WIP in the system, utilisation and quantity ofmaterial handling equipment and required area.

Model of Spine Configuration Assembly Line Design for a
Product Family
Dida Damayanti1, Isa Setiasyah Toha2
1
Institut Teknologi Telkom, Indonesia
2
Institut Teknologi Bandung, Indonesia

A Product family usually consists of common subassemblies andvariant subassemblies which expose a modular product structure. This
paper presents a model of spine configuration assembly line that isdesigned to connect some sub-assembly lines as the modular structure.
Based on such structure, the approach of designing the assembly line
takes benefit from the commonality of components and assembly
operations to reduce complexity of variants assembly processes. The
proposed model is formulated in linear and non-linear programming
formulations that minimize total cost of assembly line operation.
Example data problem is used to show the application of the modeland yields spine assembly lines configuration of a product family.

Multi-objective Assembly Line Balancing Problem with
Bounded Processing Times, Learning Effect, andSequence-dependent Setup Times
Nima Hamta1, Seyyed Mohammad Taghi Fatemi Ghomi1,
M. Hakimi-Asiabar1, P. Hooshangi Tabrizi1
1
Amirkabir University of Technology, IranThis paper addresses multi-objective optimization of a single-model
assembly line balancing problem where the processing times of tasks
are unknown variables and the only known information is the lower
and upper bounds for processing time of each task. Three objectives
are simultaneously considered as follows: (1) minimizing the cycle
time, (2) minimizing the equipment cost, and (3) minimizing thesmoothness index. In order to reflect the real-world situation
adequately, we assume that the task time is dependent on worker(s) (ormachine(s)) learning for the same or similar activity and alsosequence-dependent setup time exists between tasks. Furthermore, asolution method based on the combination of two multi-objective
decision-making methods, weighted and min-max techniques, is
proposed to solve the problem. Finally, a numerical example ispresented to demonstrate how the proposed methodology provides
Pareto optimal solutions.

Optimization and Modeling of Turning Process for
Aluminium - Silicon Carbide Composite Using Artificial
Neural Network Models
R. Jeyapaul1, S. Sivasankar1
1
National Institute of Technology, India

The major work elements of this paper are manufacturing of Metal
Matrix Composites (MMC), Machining of MMC and Optimization andmodeling of Machining parameters. The cast is produced throughpermanent moulding process for the mixing ratio of 15% SiC and 85%
Al. A Taguchi's Orthogonal Array (OA) experiment is designed to carryout the machining operation. Four parameters, namely Tool materials,
speed, feed and depth of cut are considered as factors. The output
parameters are cutting power, cutting force, shear strength, surface
finish and Material removal rate. The output responses are combined
to have a single objective as multi response performance index (MRPI)
and Manufacturer value function (MVF). ANN models are developed
for mapping the relationship between parameters with MRPI and MVF.

The optimal process parameters are selected based on the output givenby the ANN. The results of both functions are compared by using S/Nratio analysis.

A Framework for Evaluating Lean Implementation
Appropriateness
Diogo Aurelio1, Antonio Grilo1, Virgilio Cruz Machado1
1
Universidade Nova de Lisboa, Portugal

This paper focus on the key variables that limit the penetration abilityof Lean’s methodologies in industrial contexts, and thus should beconsidered prior to any Lean implementation. Based on a extensive
literature review and experts focus group, it is presented a frameworkthat organizes the main criteria to be considered and suggest adecision-making process in order to determine whether Lean
methodologies should be implemented or not. The frameworkencompasses a holistic view that includes both a strategic and an
operational dimension to be considered with a certain relative weight.
The objective is to guide any decision maker through a process ofevaluating whether Lean Management practices suit or not hisorganization’s industrial context.

Measuring Efficiency of Production Lines Based on
Maintenance Factors ; Using DEA
Sahar Abbasi1, Hadi Shirouyehzad1
1Islamic Azad University, Iran

Efficiency measurement is always considered because of its importancein performance evaluation of organization. The purpose of This study
is to assess efficiency of four concentrate production lines in
Chadormalu Mining & Industrial Company within two consecutive
years. Hence, Data Envelopment Analysis (DEA) model is used as aquantitative analytical procedure and ends to actual standards ofefficiency. In this paper consider various indicators of Maintenance as
inputs as well as outputs, and the production lines are thought ofDecision Making Units (DMU) that classified either as efficient orinefficient. Changes in inputs or outputs of any DMU can alter its
classification, DMU change in inputs or outputs can change the DMU
status to inefficient and vice versa. Therefore, Sensitivity Analysis isused to analyze how any decrease in inputs can raise the efficiency of
inefficient parts. This way, those exhibiting best practice can be
identified and will form an efficient frontier.

Comfort Study of Work Environment of Apparel Industry

Wathavana Vithanage Randika Kosala1, Nimesha Vilasini1, Janaka Gamage1
1
University of Moratuwa, Sri Lanka

Diminution of workers' efficiency and increase of health and safety
hazards are among the topmost problems faced by present
manufacturing industry. Therefore manufacturing industries arecontinuously exploring new avenues to improve factors that affectworkers' efficiency, health and safety while improving the overall
productivity. The main objective of the research was to address suchproblems by introducing ergonomically sound work environment andpractices through action based case study. This paper elaborates how
thermal comfort, design of work places and practices influence theoverall productivity of an apparel manufacturing factory in Sri Lanka.
Data related to design of work environment and human comfort weregathered by means of a questionnaire survey and on-site experimental
observations. Then the data were analysed by comparing them with
the industry standards and theories of ergonomics. Based on the
resulting conclusions an action plan was developed and recommended
solutions for the identified issues.

Hybrid Solving Algorithm for Complex Machine Scheduling
ProblemJ. Behnamian1, Seyyed Mohammad Taghi Fatemi Ghomi1, M. Zandieh2
1
Amirkabir University of Technology, Iran2
Shahid Beheshti University, IranIn this research, we make use of one of the multiple objective
decision-making methods, min-max technique, to develop a new
hybrid metaheuristic for solving sequence-dependent setup time
hybrid flowshop scheduling problems with consideration of two
performance measures, namely Cmax, and sum of the earliness andtardiness, simultaneously. The proposed hybrid approach comprises
three components: an initial population generation method based on
an ant colony optimization (ACO), a simulated annealing (SA) as anevolutionary algorithm employs certain probability to avoid becoming
trapped in a local optimum, and a variable neighborhood search (VNS)
which involves three local search procedures to improve thepopulation.

53

Session
Date
Time
Room
Chairs

Quality Control & Management (1)Thu, 8 Dec
11:00 - 12:30
Venus II
Amirhossein Amiri, Hendry Raharjo

Developing a Framework for Six Sigma in Financial Service
Institutions - Empirical Evidence from Expert Interviews
Ayon Chakraborty1, Michael Leyer2
1
Queensland University of Technology, Australia
2Frankfurt School of Finance & Management, Germany

Six Sigma is considered to be an important management philosophy toobtain satisfied customers. But financial service organisations havebeen slow to adopt Six Sigma issues so far. Despite the extensive effort
that has been invested and benefits that can be obtained, the systematic
implementation of Six Sigma in financial service organisations islimited. As a company wide implementation framework is missing so
far, this paper tries to fill this gap. Based on theory, a conceptual
framework is developed and evaluated by experts from financial
institutions. The results show that it is very important to link Six Sigma
with the strategic as well as the operations level. Furthermore,
although Six Sigma is a very important method for improving qualityof processes others such as Lean Management are also used. Thisrequires a superior project portfolio management to coordinate
resources and projects of Six Sigma with the other methods used.
Beside the theoretical contribution, the framework can be used byfinancial service companies to evaluate their Six Sigma activities. Thus,
the framework grounded through literature and empirical data will bea useful guide for sustainable and successful implementation of a Six
Sigma initiative in financial service organisations.

Improve Burnishing Formation Yield Applying Design For
Six Sigma
Jianjun Wu1, Yizhen Wang1, Qizhong Zhang1, Pengpeng Huang1
1
Jiangxi University of Science and Technology, China

In order to overcome the drawback of traditional optimize only focus
on part parameters and low efficient, this paper explores a new Design
for Six Sigma(DFSS) integrating Artificial Neural Network approach in
optimizing burnishing formation process quality and yield. The
experiments show that DFSS-Neural based on LCC method is aneffective tool to improve the roller burnishing yield in machining.

Robust Monitoring of Process Mean Vector in Female
Shrouded Connector Production: An Experience in Malaysia
Rohayu Mohd Salleh1, Maman Djauhari1
1
Universiti Teknologi Malaysia, Malaysia

We present a robust approach in monitoring the process mean vector of
female shrouded connector production experienced in a company in
Malaysia. First, we propose a new stopping rule in data concentration
process of FMCD to reduce its computational complexity and then use
it in Phase I to estimate the process parameter needed during Phase II
operations. Interesting result such as based on multivariate capability
index CpM will be reported.

54

Research of Relationship between Tolerance Allocation andMachine Movement Chain
Jiping Lu1, Shuiyuan Tang1, Guanghe Lu2, Hao Song1
1
Beijing Institute of Technology, China
2
CNGC Shanxi Diesel Engine Industry Co. Ltd, China

Tolerance allocation is one key to designing and manufacturing ofmachine equipments. According to the assembly process oftubular-structure, this paper analyzes motion modes to achieve
tubular-structure loading. In term of assembly tolerance of
tubular-structure, a tolerance model to guide structure design ofloading equipment is formulated. Based on tolerance analysis of eachmotion mode, the maximum available size of the tubular-structure is
calculated under different linear rolling guide, and the minimum
available size of the interior rail in the box is calculated under different
ball screws, trapezoidal screw threads, worm and worm gears. To meet
the tolerance of tubular-structure assembly, machine movement chainsare defined.

Implementation of Overall Equipment Effectiveness in Wire
Mesh Manufacturing
Ratapol Wudhikarn1
1
Chiang Mai University, Thailand

This study presents the implementation of overall equipment
effectiveness (OEE) at a small enterprise manufacturing wire mesh in
the developing country of Thailand. This company had neverestablished any performance measurement before. Therefore, anappropriate indicator was elaborately selected for the case study, andOEE was chosen. OEE is employed as a simple indicator, but it is still
an effective method for analyzing the efficiency of a single machine
and an integrated machinery system. The case study of OEE wascarried out from set-up stage to full implementation. Several processes
were carried out to establish the OEE indicator. OEE helped thecompany identify the primary problems concerning the availability
rate and performance efficiency. The management made the decisions
by relying on OEE results and its details, and mandated theelimination of the root causes of breakdown losses and speed losses.
Finally, after six months of full implementation, OEE performances
improved by over 60 percentages, since availability rate andperformance efficiency were improved over 75 percentages, andquality rate was maintained at the same level.

Strategic Management of the Triple Constraint Trade-off
Dynamics - a Polarity Management Approach
C. Jurie Van Wyngaard1, H.C. Pretorius1, Leon Pretorius2
1
University of Johannesburg, South Africa
2
University of Pretoria, South Africa

The project management body of knowledge (PMBOK) endorses thatevery project is governed by the triple constraint, which reflects aframework for evaluating competing demands. This paper extends thebenefits of polarity management to the triple constraint in project
management through an integrated framework. The aim of this paper
is to indicate that the integrated framework may provide a feasible
negotiation mechanism to facilitate optimum trade-offs between, andexploitation of, the key triple constraint variables as a function of the
project higher purpose.

Session
Date
Time
Room
Chairs

Project Management (1)Thu, 8 Dec
13:30 - 15:00
Venus II
Leon Pretorius, Norbert Trautmann

Total Productive Maintenance in a Semiconductor
Manufacturing Firm: An Empirical Analysis
Kam-Choi Ng1, Gerald Guan Gan Goh2, Uchenna Cyril Eze3
1
Infineon Technologies, Malaysia
2
Multimedia University, Malaysia
3
Monash University Sunway, Malaysia

Total productive maintenance is claimed to play a key role in
improving maintenance and engineering performance in firms. Withthe use of TPM, manufacturing organizations would be able to reduce
wastage and enhance productivity. This study is conducted in a large
semiconductor manufacturing firm in Malaysia and analyses thesecondary data obtained from the total fabrication monitoring systemusing paired samples t-test. The results indicate that all theperformance measures indicate significant improvements after TPM
implementation which lends support to the claim of the effectiveness of
TPM. Hence, manufacturing firms need to seriously weigh the pros
and cons of TPM implementation and take the necessary steps neededto effectively deploy TPM to enjoy better machine performance rates
for increased productivity levels.

Innovation Project Portfolio Management: the Case ofPhilips Research
Sergey Filippov1, Herman G. Mooi1
1
Delft University of Technology, Netherlands

Project Portfolio Management (PPM) has emerged as a central tool ofmulti-project governance in modern organizations. Increasingly, PPM
approaches are being applied not only to “regular” projects, but also toinnovation projects and innovation management. Companies strive toachieve their strategic goals and maximize their investments ininnovation by improving their organizational innovation capabilities
and project management. The paper presents a case study of project
portfolio management at Philips Research, a research unit of Royal
Philips Electronics Inc., a multinational electronics company. We
examine the initial conditions and main motivation to implement PPM;
then we study characteristics and specifics of managing a portfolio of
innovation and research projects in Philips Research. Further, weelaborate on the future prospects of PPM in the organization.

Project Risk Management: a New Approach

Stefan Creemers1, Erik Demeulemeester2, Stijn Van de Vonder2
1
IESEG School of Management, France
2
K.U.Leuven, Belgium

Exploring Close-optimal Solutions for the Time Constrained
Scheduling Problem in Project Management
Christos Kiriklidis1, Konstantios Kirytopoulos2, Elena Rokou2
1
University of Aegean, Greece2
National Technical University of Athens, Greece

This paper presents a new approach for the Time Constraint Project
Scheduling Problem (TCPSP). A two stage heuristic algorithm wasdeveloped for this problem. During the first stage a genetic algorithm
using as fitness function, a function composition of max resource usage
and the differences between actual and desirable resource usage, is
executed to get a set of solutions. The second stage consists of choosing
the best chromosomes and moving the solution's set start times +/-1 torandomly generate another set of solutions. Experimental results of thetwo stage approach are presented and compared to the single genetic
algorithm results.

Application of Real Options in Project Portfolio Selection
Chengchao Wang1, Yongyi Shou1
1
Zhejiang University, China

The real options theory has received widespread attention for its
response to environmental uncertainty and managerial flexibility. The
paper attempts to apply real options theory in project portfolio
selection so as to maximize the option value of the selected project
portfolio. On the basis of analyzing major types of real options andtheir evaluation, it is found that real options are suitable for project
selection, and the compound options are more in line with real-world
project portfolios.

Risk Factors Influencing Time and Cost Overrun in Multiple
D&B Projects in Malaysia: a Case Study
Ramanathan Chidambaram1, Narayanan Sambu Potty1, Arazi Bin Idrus1
1
Universiti Teknologi Petronas, Malaysia

Currently Design and Build (D&B) has gained popularity in theconstruction industry due to its attractive financial aspects. The
development projects are implemented by D&B because of its special
nature, crucial time requirements and size. Many D&B projects ended
in the hands of contractors lacking knowledge on the other major
constraints of this procurement method. They are basically committed
by judgement and inadequate experience and unable to execute theproject within the agreed time and price. The risk is more whilecommitting to multiple simultaneous projects. This paper is a part of
the research involving seven (7) case studies on actual multiple D&B
projects. Site visits and project documents provided the core data forthe case studies. The characteristic background of each project ispresented with contractor’s, consultant’s and owner’s opinions. Fromthe collected information, data on the factors influencing time and cost
overruns were summarized. The researcher’s opinions on each casestudy are provided in conclusions.

The goal of project risk management is to provide insight into the risk
profile of a project as to facilitate decision makers to mitigate theimpact of risks on project objectives such as budget and time. A
popular approach to determine where to focus mitigation efforts, is theuse of so-called ranking indices. Ranking indices allow the ranking of
project activities (or risks) based on the impact they have on project
objectives. A distinction needs to be made between activity-basedranking indices (those that rank activities) and risk-driven ranking
indices (those that rank risks). Because different ranking indices resultin different rankings of activities and risks, one might wonder whichranking index is best? In this article, we provide an answer to thisquestion. Our contribution is threefold: (1) we set up a large
computational experiment to assess the efficiency of ranking indices in
the mitigation of risks; (2) we develop two new ranking indices that
outperform existing ranking indices and (3) we show that a risk-driven
approach is more efficient than an activity-based approach.

55

Session
Date
Time
Room
Chairs

Project Management (2)Thu, 8 Dec
15:30 - 17:30
Venus II
Ayon Chakraborty, Anil Varma

Do Project Managers Need an Operations Research Support
Indeed?(A Survey on Polish Project Managers Attitude
towards Operations Research Methods and Tools)
Tomasz Blaszczyk1
1
University of Economics, Poland

Project Management methodology contains a set of formal tools basedon Operations Research background. Most of them are expected to bewell known to project decision-makers from handbooks andprofessional or scientific papers. The aim of this paper was to present
results of the survey made on the group of professional project
managers and project-related decision-makers. In this survey theirconsciousness, need, and field of applications of operations researchtools in project management area was investigated.

Team Communications and Academic R&D Performance: A
Case of National Telecommunication Program of Taiwan
Chia-Liang Hung1, Jerome Chih-Lung Chou2, Shan-Jan Kuo1
1
Chi-Nan International University, Taiwan
2
Hwa-Hsia Institute of Technology, Taiwan

This research evaluates Taiwan National Telecommunication Programusing the DEA approach and analyzes impacts of teamcommunications on R&D performance by establishing a SEM
relationship. The results show that team communications are highly
correlated with the R&D performance. For the high-scored projects,
they have the internal communication patters with a higher frequencyof meeting but a shorter time-consumption dialogue, a uniform
distribution of regular meeting, a lower hierarchy to meet with the
project leader, a well-managed channel to access accumulative
expertise, and an open forum for communication. They also have theexternal communication patterns with a gatekeeper bridging
information inward and outward, a lower frequency oftime-consumption external sourcing, and a higher frequency of
external cooperation, referencing, learning, and benchmarking. The
research will contribute guidelines for effective project management toteam leaders and program sponsors.

Dynamic Fuzzy Comprehensive Evaluation of Contract
Management in Project Department

Prioritizing Activities on a Building Site ProjectContract management is the core work of project management, theeffectiveness of management directly reflects the integral effect ofproject management. Considering the dynamic characteristic ofcontract management, the paper introduces dynamic fuzzy sets theory
into this paper, and establishes a dynamic fuzzy comprehensive
evaluation model of projects department contract management. A casestudy is presented to validate the model. This model can not onlyreflect the fuzzy degree of the index, but also reflect the changing
trends of the contract management performance through dynamic
comparison in different management stages. With the model, we canclear the contract management performance level, discovery existing
problems more scientifically, and provide corresponding suggestions
for the next stage of the contract management.

The increase in competitiveness in the construction industry has been
compelling companies to offer better quality products that arecompleted on time. This is not an easy task. One of the essential aspects
to be catered for so as to reach this aim is to engage on adequate
planning, which involves prioritizing the activities to be carried out.
This includes medium-term planning. During this stage, many aspects
should be considered so that an adequate analysis can be made ofactivities that can be carried out, which do not cause problems forlong-term planning. Therefore, this study presents a more structured
decision-making model for medium-term project planning, such thatthe activities that can be carried out in the period of analysis can beprioritized in accordance with the aspects that the project manager
considers most important. An application on a building site project ispresented.

Yunna Wu1, Yong Huang1, Wenjun Chen1
1
North China Electric Power University, China

Particle Swarm Optimization for Preemptive Project
Scheduling with Resource Constraints
Fei Li1, Changtao Lai1, Yongyi Shou1
1
Zhejiang University, China

This paper studies preemptive project scheduling with resource
constraints. We developed a particle swarm optimization (PSO)
method based on two different particle representations to solve theproblem which permits each activity to preempt at most once.
Computational experiments are provided to investigate theperformance of PSO-based approaches and to compare two
representations. The result shows that preemption helps to reduce
project duration and the PSO method we developed can handle
preemptive project scheduling efficiently.

An Optimization Model for the Control of Complex Turnkey
Projects in Plant Engineering
Egon Mueller1, Ralph Riedel1, Manuela Krones1, Henrik Vay2
1
Chemnitz University of Technology, Germany
2
MAN Diesel & Turbo SE, Germany

Turnkey plant projects are endeavors which are characterized by highcomplexity and system dynamics. The application of special methods
and models in the project management processes of planning andmonitoring & controlling has become a competitive advantage inturnkey plant business. Special attention has to be given to theidentification and evaluation of changes and disturbances as those
could have severe impacts on the project's objectives. The selection andimplementation of proper control measures becomes crucial to ensure
successful projects. In this paper a novel approach for modeling theinterdependencies of engineering activities is presented. The approachparticularly addresses planning information and changes that will limit
the effects of control measures in the case of possible delays. The
modeling approach offers decision support by providing a holistic
basis for the evaluation of changes.

56

Luciana Alencar1, Adiel Almeida1, Caroline Mota1
1
Federal University of Pernambuco, Brazil

A Multi-Objective Optimization and Fuzzy Prioritization
Approach for Project Risk Responses Selection
Ebrahim Rezaee Nik1, Seyed Hessameddin Zegordi2, Ahad Nazari3
1
Tarbiat Modares University, Sadjad Institute of higher Education, Iran
2
Tarbiat Modares University, Iran
3
Shahid Beheshti University, Iran

Risk response development is the weakest part of the project risk
management process; consequently many companies fail to gain thefull benefits of risk management. This paper proposes an optimization
model that integrates the project work breakdown structure, risk
events, risk responses and their effects into a practical framework. Thismodel minimizes total expected loss, which consists of four
components: abatement actions costs, expected time loss, expected costloss and expected quality loss. We use a fuzzy prioritization approachfor calculating the coefficients of the objective function. The model canmeasure consistency index for the fuzzy pair-wise comparison matrix.
An exact method and a heuristic algorithm are proposed in order tosolve the model. Furthermore, a case study in power plant projects ispresented to show the applicability and performance of the model.

A Serial Scheme for Minimizing the Duration of
Resource-Constrained Projects within Microsoft Project
Norbert Trautmann1, Gianluca Brandinu1
1
University of Bern, Switzerland

Microsoft Project is one of the most-widely used software packages for
project management. For the scheduling of resource-constrained
projects, the package applies a priority-based procedure using a
specific schedule-generation scheme. This procedure performs
relatively poorly when compared against other software packages orstate-of-the-art methods for resource-constrained project scheduling. In
Microsoft Project 2010, it is possible to work with schedules that are
infeasible with respect to the precedence or the resource constraints.
We propose a novel schedule-generation scheme that makes use of thispossibility. Under this scheme, the project tasks are scheduled
sequentially while taking into account all temporal and resource
constraints that a user can define within Microsoft Project. The scheme
can be implemented as a priority-rule based heuristic procedure. Our
computational results for two real-world construction projects indicatethat this procedure outperforms the built-in procedure of Microsoft
Project.

Session
Date
Time
Room
ChairsSupply Chain Management (4)Thu, 8 Dec
11:00 - 12:30
Jupiter I
Mei Qi, Jun-Der Leu

Reverse Logistics: Implementation in the Industrial Sector of
EcuadorArun Kumar1, Christian Veloz1, Roesfiansjah Rasjidin1
1
RMIT University, Australia

This paper discusses the reverse logistics operations and a sustainableindustry in Ecuador. The research uses the Soft Systems Methodology(SSM) and builds a model by considering the key elements toundertake the implementation of reverse logistics in Ecuador. The
model creates a taskforce which works with the companies to help
them adapt reverse logistics to their current logistics processes. It also
includes external variables such as political issues, environment
constraints and social pressure. A holistic approach is given using
systems thinking in order to incorporate all the aspects needed to
implement reverse logistics in the industrial sector.

How the Effect of Country-of-Origin on Store Brand
Moderates Customer's Affection-Conation Link toward
Multinational Retailers
Yung-Hsin Chen1, Shuo-Chang Tsai2, Yi-Shuang Wu1, Shu-Min Li1
1
National Cheng Kung University, Taiwan
2
Asia Univeristy, Taiwan

Retailers as the down-stream end of international supply chain always
face a challenge in product strategic decision about “standardization”
or “adaptation” to appeal to local customers, as such retailer’s store
brand products come to the solution. Customers identify a brand with
its origin, or country of origin (CoO). The introduction of store brandproducts brings out tangible benefits to consumers. Its usage spansconsumers’ demographic, socio-economic, and also psychologicalvariables. However, empirical evidences in the research area of supply
chain management are quite sparse. This study extends the conceptualmodels of CoO image proposed by Roth based on Fishbein’s “thetheory of reasoned action” to construct a modified framework with apurpose to examine how CoO effect on store brand moderate
customer’s affect and conations toward the international retailers. The
moderating role of CoC effect on store brands in their relationships isthe focus aiming to fill the gap of research.

Performance-based MRO Service Contracts with Two
Customer Classes

Information Sharing in Supply Chain: Modeling the Barriers

As part of the paradigm shift in aerospace service contracts, a principal(e.g., an airline) now deals with only one agent (e.g., an aircraft
integrator or Maintenance, Repair and Overhaul (MRO) service
provider) - an agent can service any number of contracts. Due to thesporadic nature of unscheduled MRO, these integrators would
stipulate a fee based on a detailed cost structure consisting of theamount of spares and effort required to service these packages. By
doing so, the contractual value may be overpriced, thus making theprovider less competitive, or underpriced, consequently incurring
losses. This work aims to optimally value a service contract employing
a multi-task principal-agent model to support resource allocation. We
conclude this work with a fill rate analysis on two customer classes todistinguish between high and low priority demands.

Information sharing (IS) encompasses the sharing between
downstream members of supply chain (SC) to share their demand
information effectively and efficiently with upstream members of SC.
The barriers which resist in the IS enablement of SC are known as
Information Sharing Barriers (ISBs). The main aim of this paper is tounderstand mutual influence of ISBs using interpretive structuralmodeling (ISM) and to identify driving ISBs (ISBs that support other
ISBs) and dependent ISBs (ISBs that are most influenced by others
ISBs). It has been observed that ISBs '˜Lack of top management
commitment and Vision' has high driving power and low dependency.

Niak Wu Koh , Roland Y. G. Lim
1Singapore Institute of Manufacturing Technology, Singapore
11

An Effective Heuristic for Yard Template Design inLand-Scarce Container Terminals
Mingkun Li1, Shiying Li2
1
Shanghai University, The Hong Kong Polytechnic University, China
2
The University of Hong Kong, China

Due to limited storage space and heavy workload, container stacking
in many Asian seaports is of high density. The method of yard storage
template design, which effectively allocates yard space for incoming
containers, is critical for utilizing yard storage resources andfacilitating yard operations. This research studies the problem with aperiodical vessel calling pattern that resource planning for berths andthe yard area can be processed simultaneously in different hierarchies.
It aims at optimally allocating slots to export containers in an area
associated with a home berth achieving a space-saving template design.
A two-phase solution method is proposed and an effective heuristic is
developed to quickly decide the exact shape and location of yard
clusters to be fitted into the template with a suitable order.

A. A. Pujara1, R. Kant1, M. D. Singh2
1
Sardar Vallabhbhai National Institute of Technology, India
2
Motilal Nehru National Institute of Technology, India

Service Impact on Customer Demand and Member Profit ina Supply Chain
Rasul Jamshidi1, Seyyed Mohammad Taghi Fatemi Ghomi1
1
Amirkabir University of Technology, IranThis paper analyzes the impact of provided services by the retailers
and manufacturers for customers' demand and members' profit insupply chain. It focuses a supply chain structure with one
manufacturer and a common retailer. The demands of customers
depend on retailer price and service level. A game-theoretic framework
is applied to obtain the equilibrium solutions for every entity in supply
chain.In order to investigate the impact of service on the demand andsupply chain members' profit, when the manufacturer is a leader, wederive and compare equilibrium solutions for the supply chain under
three different scenarios. Theses scenarios are for the case that
manufacturer and retailer do not provide any service to customers; thecase that retailer provides service to customers; and the case that
manufacturer provides service to customers. We compared the resultsfrom these three scenarios and proposed the best scenario for our
problem.

57

Session
Date
Time
Room
ChairsSupply Chain Management (5)Thu, 8 Dec
13:30 - 15:00
Jupiter I
Qing Lu, R. Kant

The Resilience Paradigm in the Supply Chain Management:
A Case Study
Ana Paula Barroso1, Virgínia Machado1, Virgilio Cruz Machado1
1
Universidade Nova de Lisboa, Portugal

Supply chains are facing numerous changes that are contributing toincreasing their complexity and vulnerability to disturbances. To
survive, supply chains must be resilient. However, the specificities ofeach supply chain allied to the uncertainty environment in which they
operate, do not allow to determine, with advance, which is the mostappropriate strategy to mitigate the negative effects of a likely
disturbance. To understand how some management strategies improve
supply chain resilience to a disturbance, and how they influence
supply chain performance, scenario analysis was used. A case study
related to a Portuguese automotive supply chain is presented. Twostrategies widely used to mitigate disturbance effects on supply chainswere considered and six scenarios were designed. The scenarios differ
in terms of presence or absence of a disturbance and a mitigation
strategy. To evaluate the scenarios designed, two key performancemeasurements were defined.

Minimizing the Vulnerabilities of Supply Chain: A new
Framework for Enhancing the Resilience
Umang Soni1, Vipul Jain1
1
Indian Institute of Technology Delhi, India

Today's globalized, leaner and just-in-time supply chains are more
vulnerable to natural and man-made disasters. The businessenvironment is continuously varying which produces risk and to
manage this risk, it requires resilience. This paper proposes a newframework for supply chain resilience that leverages existingknowledge and offers a better understanding of the available notion inliterature. It incorporates flexibility, adaptability, collaboration,
visibility and sustainability as the major pillars for resilient supply
chains. This framework provides a new means to evaluate 'supply
chain fitness' and also provides critical insights for decision making byminimizing the negative impact of unavoidable risk events. Thus itincorporates event readiness and provides an efficient response.

Reducing Risk in Supply Chains with Forecasting - An
Analysis
Richard Lackes1, Markus Siepermann1
1Technische Universitat Dortmund, Germany

In order to achieve just-in-time concepts in supply chains, customers
usually have to provide their suppliers with information about
required materials. The problem that arises is which forecast data thecustomer should report to his suppliers when the future demand of hisoutlet isn't exactly known. This demand is usually subject to aprobability distribution. Without any restrictions, the customer will
always report those forecast data that correspond to the possible
maximum demand of his outlet in order to maintain flexibility. This
information will not be useful to the supplier. Therefore, the customer
is usually engaged to purchase, within certain limitation periods, thatquantity of parts he reported. Otherwise he has to do an adjustment
payment. This paper analyses what forecast data the customer shouldreport and what release order quantity the customer should orderhaving previously reported the forecast data.

58

A Supply Chain Coordination Mechanism with Credit
Option Contract Considering Backordered Demand of
Customer
Reza Hasani1, Farid Khoshalhan1
1K. N. Toosi University of Technology, IranThis paper studies the issue of channel coordination for a decentralized
supply chain consisting of one manufacturer and one buyer inmulti-period setting. Considering the allowance of the backorder at thebuyer side distinguishes this work in the literature. The credit option
contract as an incentive scheme is pursued to encourage the buyer toparticipate in the coordination model. Order quantity, credit time andbackordered demand in each period as decision variables are
determined jointly in order to encourage the chain's member toparticipate in the coordinating contract. The proposed model showsthat the credit option contract in the case of backorder allowance is able
to realize the channel coordination in the studied supply chain. A wide
range of numerical examples are studied to analyze the sensitivity of
the contract efficiency to the inventory system's parameters such asorder cost, holding cost and shortage cost.

An Effective Lean Supply Inventory Management Modelusing VMI Hub
Weidong Lin1
1
Temasek Polytechnic, Singapore

This paper describes an effective lean supply inventory management
model using VMI hub for electronics industry. For a complex supply
chain system, it is desired a lean supply inventory management
approach with simplicity and efficiency. The key elements of such asystem are identified as suppliers, VMI hubs, and factories. This paper
firstly compares the two supply inventory models and explains thebenefits of the model with VMI hub. Then the two key processes of thelean supply inventory model with VMI hub are further discussed, i.e.
the kit-to-line process between a VMI hub and factories and the JIT
suppliers pull process between suppliers and the VMI hub. Finally thepilot run results are shown to suggest significant performance
improvements in terms inventory savings and cycle time reductions.

A New Approach in Supply Chain Modeling

M. Pazoki1, Seyyed Mohammad Taghi Fatemi Ghomi1, Fariborz Jolai2
1
Amirkabir University of Technology, Iran
2
University of Tehran, IranThis paper introduces a new approach toward modeling supply chain.
Instead of minimizing cost or maximizing benefit, we try to set theratio of revenue to cost to a certain value and minimize cost in thiscondition, simultaneously. As this ratio is one of the decision criteria in
economical engineering context, it may be attractive for industries todecide whether participate in this chain or not. An algorithm is
proposed and tested to see whether this approach and this procedure
work or not.

Session
Date
Time
Room
ChairsSafety, Security & Risk Management
Thu, 8 Dec
15:30 - 17:30
Jupiter I
Kai-Way Li, Paolo Trucco

Management Process Quality and Safety at Organizational
Level (A Case Study at an International Airport)
Mohammad Shahriari1, Lennie Edman1, K. Hamdani1, Pedro Arezes2
1
Chalmers University of Technology, Sweden
2
University of Minho, Portugal

The aim of this study was to explore the relationship between qualityof processes and safety at an organizational level, and also to facilitate
the implementation of robust system thinking. A model presenting aprocess based system approach to safety that integrates safety climate
is proposed and also a quality evaluation process in line with the value
adding process. This evaluation process should be continually
improved in the same way as the value adding process in which theemployees are adding value together with its support functions.
Should attempts to put in driving out fear from organization andensure more openness and fairness towards its employees. It should
also focus on the development of robust system thinking. To achieve
this goal, application of a newly developed method is highlighted, by
exploring a case study at Landvetter airport control tower.

Emergency Exposure Limits for Toxic Chemicals in Major
Hazard Installations of China
Hui Cui1
1
Hunan University of Science and Technology, China

In order to determine Emergency Exposure Limits for toxic chemical in
GB18218-2009 Identification of Major hazard installations fordangerous chemicals in China, overview of Emergency Exposure
Limits was firstly introduced, including Acute Exposure Guideline
Level, Emergency Response Planning Guideline, Temporary
Emergency Exposure Limit and so on, then attention was paid on the
differences and hierarchies of alternative Emergency Exposure Limits,
finally Emergency Exposure Limits for toxic chemical in Major hazard
installations of China were established based on the following
sequences: Acute Exposure Guideline Level, Emergency Response
Planning Guideline and Temporary Emergency Exposure Limit. Thiskind of data migration is feasible, which would be the most economicaland effective way in the process of establishing the China's own
Emergency Exposure Limit system.

Optimal Risk Response Plan of Project Risk Management
Amnon Gonen1
1
Holon Institute of Technology, Israel

With the increase in project risk management usage, it is becoming
increasingly more important to develop methods on how to allocate
risk management budgets among the possible mitigation or transfer
plans. Today, risk management plans usually rank the risks andrecommend how to handle those with high rankings. Neither their
response plan nor response feasibility are considered. Out of fivepossible response categories to an identified risk, only two require asignificant budget investment. This study proposes a linear
programming approach to budget allocation and demonstrates thebudget constraint method, including sensitivity analysis. The results
contribute to defining rules about risk management budgeting.

Modeling a Constraint-based Design Risk Management Tool:
An Empirical Study for Collaborative Product Design
Jian Ruan1, Sheng Feng Qin1
1
Brunel University, United Kingdom

This paper proposed a constraint-based Design Risk Management(DRM) tool for the improvement of design decision-making under acollaborative product environment. This tool is developed byincorporating collaborative design features, risk management process
and theory of constraints (TOC). The research is focused on: 1)
exploration of various design constraints from all possible design
variables, 2) identification of critical design constraints as design risk
factors for design management and decision-making, and 3) evaluationof design risks as a project risk based on the Bayesian theorem. This
tool has been prototyped to show that, design managers can use thistool to gain overall design risks during a product design process fortheir decision-making, and meanwhile it enables other designers to get
involved and provide first-hand information on dependency of risk
factors, probability and severity.

IT Can Improve Healthcare Management for Patient Safety Minimizing risk of blood transfusion with
Point-of-Act-System Masanori Akiyama1, Atsushi Koshio1
1
the University of Tokyo, Japan

The purpose of this study is ensuring patient safety of bloodtransfusion by minimizing risk of transfusion at the point of carethrough Information Technology. The targets are ensuring five rights oftransfusion, rights process and right information by auto identificationand traceability of blood products. Auto identification and data
capturing system with RFID based on the Point-of-Act-System (POAS).
It provides real time right identification, process management toensure right medication and traceability with serialized number insingle item level. The system designed based on process analysis anduse case of transfusion was successfully implemented in Red Cross
Hospital to prevent transfusion errors and ensure traceability of blood
products. By reading RFID at the point of care, we can check database
to look for adverse events of blood products. We identified all 377
blood products and acquired tracking data successfully. We can
improve patient safety and traceability with RFID.

Occupational Safety & Health (OSH) Performance of SMEs:
A Structured Framework
Enrico Cagno1, Guido Jacopo Luca Micheli1, Celeste Jacinto2, Donato Masi1
1
Politecnico di Milano, Italy
2
Universidade Nova de Lisboa, Portugal

This paper deals with the use OSH factors for the correct identificationand prioritization of OSH interventions especially within the Small andMedium sized Enterprises (SMEs) context, by taking into account therelevant OSH-factors. However, this should not be done on a
one-to-one basis, but rather through a meaningful group of connectedfactors, which together impact on the OSH performance and on theoverall performance. On the basis of the above, this paper aims at
identifying the OSH-related factors and to work them into a structured
framework, using a Focus Group approach. This framework explainseach factor on the basis of a set of sub-factors, and clusters the factors
into areas of affinity, thus creating three different levels of detail.
Finally, the areas of affinity are worked into a hierarchical structure.
The hierarchical structure and the three levels of detail are the tools
enabling a rational planning of the interventions.

A Clustering Approach to the Operational Resilience
Analysis of Key Resource Supply Chains (KRSC): the Caseof Fast Moving Consumer Goods
Paolo Trucco1, David Ward2
1
Politecnico di Milano, Italy
2
JRC-ISPRA, Italy

This paper presents a novel clustering approach to modelinginterdependencies between critical infrastructures (CIs) and key
resource supply chains. The approach is based on Fuzzy Cognitive
Map (FCM) theory and the assessment of the impact of service
disruption between infrastructures and relative supply chains. The
authors discuss a pilot case study concerning the impact of
infrastructure disruptions for different temporal frames (i.e. after one
day, four days and three weeks) on the Fast Moving Consumer Goods(FMCG) supply chain. The study has been conducted affording aqualitative and cognitive approach based on expert elicitation. The
paper concludes with a discussion of findings and current train ofthought for future improvements ofclustering approach.

Electrostatic Hazards of Polypropylene Powders in the
Fluidized Bed Reactor
K.S. Choi1, K.T. Moon2, J.H. Chung2, X. Bi3, J. R. Grace3
1
National Institute of Occupational Safety and Health, Japan
2
Seoul National University of Science & Technology, South Korea
3
The University of British Columbia, CanadaThis paper reports on electrostatic hazards related to a powder
fluidized bed reactor. The electric field and the space charge density
were monitored over the fluidizing time. We also investigated theminimum ignition energy of sample powders with a Hartman
vertical-tube apparatus. A batch-type fluidized bed system containing 1
kg of commercial grade polypropylene resin powder was used in theexperiments. The superficial air velocity with zero relative humidity
was in the range of 0.2 to 0.32 m/s. Results obtained from theexperiments show that the bi-polar charging existed in the reactor
during operation. As the superficial air velocity increased, the spacecharge density in the lower column increased, whereas, the spacecharge density decreased in the upper column. The electric field
generated from charged powders reached a maximum of 250 V/cm,
safe level for incendiary electrostatic discharge from charged powders.
The powders in the upper column section can be more easily ignited byelectrostatic discharges compared to powders in the lower column.

59

Session
Date
Time
Room
ChairsInformation Processing and EngineeringThu, 8 Dec
11:00 - 12:30
Jupiter II
Bouchaib Bahli, Shieuhong Lin

Coordinating Time-Constrained Multi-Agent Resource
Sharing with Fault Detection
Shieu-Hong Lin1
1
Biola University, United States

Sharing common resources in a distributed multi-agent environment
requires coordination to avoid faulty system states. The statuses ofresources such as personnel, equipments, and environmental factors at
a point in time determine the system state at that time. When an agent
takes an action at any time point within a scheduled time interval, it
becomes a state-transition event occurring at that time. For each event,the underlying state transition relation can be compactly encoded as
causal rules, which describe how statuses of resources andenvironmental factors may change in different ways based on
preconditions before the event occurs. The central coordinator needs tocheck in advance whether any of the possible event sequences
consistent with a proposed schedule may end in faulty system states.
This fault detection task is NP-complete even for a polynomial-sizestate space in general. In this paper, we investigate the computational
complexity of the fault detection task when agents fairly constrain the
maximal length of time intervals. We develop a decomposition
algorithm to divide the fault detection task over all events into subtasks
involving subsets of the events with overlapping time intervals. For
each subtask, only a subspace with reduced dimensionality is involved
instead of the whole original state space. When the maximal length oftime intervals is constrained below a fair threshold, we prove that withprobability approaching one as the size of the problem instance grows
the algorithm can accomplish the fault detection task in polynomial
time even if the original underlying state space is exponential in size.

A Method for Identifying Process Reuse Opportunities toEnhance the Operating Model
Marne De Vries1, Alta Van Der Merwe2, Paula Kotze2, Aurona Gerber2
1
University of Pretoria, South Africa
2
CSIR Meraka Institute, South Africa

Staying competitive in the 21st century requires enterprise unity andintegration, allowing for agility to accommodate swift changes instrategy as markets evolve and new opportunities emerge. The
foundation for execution approach acknowledges the volatility ofstrategy and suggests the use of an operating model (OM), which is acommitment to a way of doing business. The OM creates acompany-wide vision for process standardization and data
centralization and guides decisions about how a company implements
processes and IT infrastructure. Although the OM provides senior
management with a powerful decision-making tool in evolving thecurrent IT landscape, the selection of an appropriate OM requires
additional guidance. This article elaborates on current OM deficiencies,
requirements for enhancement and a new method, mechanisms andpractices to enable an enterprise architecture practitioner to identify therequired process reuse opportunities for a specific OM.

Dynamic Partitioning for Enterprise Applications

Martin Grund1, Jens Krueger1, Juergen Mueller1, Alexander Zeier1, Hasso
Plattner1
1
Hasso-Plattner-Institute, Germany

Today's enterprise applications face a severe change in how they
process data. They evolved from simple data entry applications tocomplex systems where the focus is to make the right decision basedon latest transactional data instead of pre-processed outdated businessintelligence data from secondary systems. This paradigm shift resultsin more analytical queries executed on the transactional databasesystem. In addition we see a change in how the persistence layer isseen and that more and more effort is spent on developing databaseengines that are designed to address special needs and requirements,
e.g. for Web 2.0 applications. In this paper we discuss that it is crucial
for enterprise applications to share application semantics with the
database to increase performance. Furthermore we show how thisprinciple can be applied to dynamically partition application data. In
contrast to static partitioning we propose to adapt the life-cycle
semantics of the application and move data from active to different
passive partitions, by leveraging the merge process of our database
prototype. The goal is to reduce the amount of data that is touchedduring query execution to increase the performance of the main
workload by the same factor. We present how our HYRISE prototype is
implemented and how it can be extended to fully support this use case.

60

Pitfalls of Information Technology Management Systems
Raj Siriram1
1
University of Witwatersrand, South Africa

In an economy of rapid technological change managers need to beaware of newer technologies and how the adoption of thesetechnologies affects competitive advantages. Information technology
management systems are not delivering to business needs. A model isconstructed to better understand information technology management
systems. This is done using two approaches firstly a) managers
information technology preferences are linked to technological benefits,
adoption and integration; secondly b) challenges facing managers are
identified through a literature survey. Both a) and b) are verified using
an expert panel. Important lessons for manager's wanting to invest in
information technology management systems are provided.

Fuzzy Hierarchical Clustering based on Fuzzy Dissimilarity
YaQiong Lv1, Carman Ka Man Lee1
1
Nanyang Technological University, Singapore

This paper develops a new fuzzy hierarchical clustering method basedon Agglomerative nesting with the introduction of fuzzy dissimilarity.
Since normal hierarchical clustering methods only can be applied forreal numbers while a set of possible values, fuzzy numbers aregathered in data collection. It’s important to find an effective andefficient way for clustering so as to realize the structure of the complex
data for decision making. In this research, the trapezoidal fuzzy
numbers are selected in this research, and the proposed new
hierarchical clustering method can be competent with the existingclustering method with the given set of fuzzy numbers.

A Comparison of Technology Trajectories between the
Global and the United States in Smart Grid
Siou-Zih Lin1, Ssu-Han Chen1, Chun-Chieh Wang1, Dar-Zen Chen1
1
National Taiwan University, Taiwan

This study aims to compare the technology trajectories between the
United States (U.S.) and the global nations in the smart grid field.
Highly cited patents were collected from 2001/1/1 to 2010/12/31 andthen were analyzed through bibliographic coupling method, sliding
TCT-based citation window and Girvan-Newman clustering for being
converted into a global technology trajectory map as well as a U.S. one.
Firstly, results show that three of the global technology trajectories aretime-lagged than its counterparts of the U.S. one, including electronic
trading, dynamic power and workload management, and network
monitoring through user profiles. Secondly, we found that two of the
U.S. technology trajectories does exist but cannot be found in the global
map, containing remote monitoring, automatic trading process andinterface circuit system. Lastly, the conditional purchase offer
management (CPO Management) and also the dynamic policy
management (DPM) of the global trajectories are missing in the U.S.
map.

Session
Date
Time
Room
ChairsTechnology and Knowledge Management (1)Thu, 8 Dec
13:30 - 15:00
Jupiter II
Chien-Liang Kuo, Suli Zheng

Knowledge Management Implementation: Analytic
Hierarchy Process Methodology
R. Kant1, A. Anand2, D. P. Patel1, M. D. Singh2
1
Sardar Vallabhbhai National Institute of Technology, India
2
Motilal Nehru National Institute of Technology, India

The aim of this paper is to understand of Knowledge Management
variables (KMVs) and to identify priority weights. It uses analytic
hierarchy process (AHP) methodology to prioritize KMVs forsupporting the knowledge management (KM) implementation inorganizations. These KMVs are selected form the literature reviewsand expert discussion. The pair wise comparisons of KMVs (usually,
alternatives and attributes) can be established using a scale indicating
the strength with which one KMV dominates another with respect to ahigher-level KMV. This scaling process can then be translated into
priority weights. The AHP can be a useful guide in the decision making
process of KM implementation. It has been observed KMV 1 has highpriority weights.

Shared Resources, Capabilities and Inclusive Growth of
Clustered SMEs: A Multiple Case Study in China
Yilin Fan1, Guowei Wan1
1
Zhejiang Shuren University, China

This study examines the mechanism by which shared resources act oncapabilities to impact inclusive growth of clustered SMEs. Results
indicate that four different kinds of cluster specific shared resources
have positive effects on capabilities and capabilities also have positive
impacts on inclusive growth of clustered SMEs. The concept model
developed in this study thus suggests that capabilities mediate therelationship between shared resources and inclusive growth ofclustered SMEs.

Roadmapping an Emerging Technology in Clean Energy
Industry: A Case Study of Dimethyl Ether Development in
China
Yuan Zhou1, Guannan Xu1, Jun Su1, Tim Minshall2, Qiang Zhi1
1
Tsinghua University, China
2
University of Cambridge, United Kingdom

Technology roadmapping has been used to strategize the developmentof energy technologies. However, there is limited roadmapping
application that analyzes the emergence of a new energy technology
and elaborates how this new technology forms a new industry anddisrupts the old ones. This paper, therefore, focuses on thedevelopment of a roadmapping framework for strategizing the
emergence and growth of a clean energy technology towards anindustry, and proposes a systematic approach to integrate the lifecycle
analysis (LCA) tool that is specific for assessing energy technologies.
The proposed framework has been tentatively applied in anational-level strategic research on clean coal development, conductedby Chinese Academy of Engineering. This proposed framework canalso be generalized to other clean energy industries, and we anticipate
our paper will bring inspirations on roadmapping and strategizing the“right” technologies for the growth of Chinese energy industries.

Structure of International Research Collaboration in Windand Solar Energy
Ichiro Sakata1, Hajime Sasaki1, Toshihiro Inoue1
1
The University of Tokyo, Japan

Climate change is a common global issue. Advanced technologies totackle the problem are spread throughout the world. Among varies
kind of energy sources, wind power and solar cell are the mostpromising technologies for green growth. This paper will first aim to
identify the structure of international research collaboration in wind
power and solar cell. Secondly, this paper will compare both structuresand discuss factors that would create and support international
relationships. We use bibliometric approach. The research collaboration
networks in wind power and solar cell include 4,189 and 6,660
institutions, respectively. We find that physical distance, international
S&D policy, historical and institutional factors, and maturity oftechnologies have a large impact on the research collaboration.

Applying K-means Clustering and Technology Map in Asia
Pacific-Semiconductors Industry Analysis
Chin Yuan Fan1, M. F. Lai1, T. Y. Huang1, C. M. Huang1
1
National Applied Research Laboratories, Taiwan

In recent years, the semiconductor market has gradually moved awayfrom advanced countries and relocated to the Asia-Pacific region. Since
the 1980s Taiwan has also been developing its own semiconductor
industry, and, after twenty years of efforts, has become one of theworld's major exporters of semiconductor products. Therefore, in orderto position Taiwan in relation to other countries in terms of competitive
advantage as defined by technology and industrial development, weneed to better understand developmental trends of semiconductor
technology of major competing countries in the Asia-Pacific region. By
doing this we can further provide our government with additional
strategic development proposals. In this study, we used a combinationof patents, data mining methods (multidimensional scaling (MDS)
analysis, and Kmeans clustering) to explore competing technologicaland strategic group relationships within the semiconductor industry in
the Asia-Pacific region. We assessed the relative technologicaladvantages of various organizations and proposed additional
technology development strategy recommendations to Taiwan's
semiconductor industry.

61Session
Date
Time
Room
ChairsTechnology and Knowledge Management (2)Thu, 8 Dec
15:30 - 17:30
Jupiter II
Harm-Jan Steenhuis, Mohammed-Aminu Sanda

A Methodology for Tracking the Impact of Changes in(re)Designing of the Industrial Complex Product
Nattawut Janthong11King Mongkut's University of Technology North Bangkok, Thailand

Engineering design in today's market faces a wonderful challenge.
From the intense competitive business environment, the increasing
demand of variety by customers and the exceptional boost oftechnology, new products have to be designed and manufactured withhigh performances in low-time, high-quality and high value output
that can provide competitive advantage. Thus, modularity,commonality and variety are important and complementary concerns
in differentiated product features to meet particular customer
requirements. Moreover, the new design must re-configure,re-parameterize and re-align etc. the existing architecture with thecomponent modules to be changed. Therefore, the impacts are on
modification of components but also on the global behavior of thewhole product; it can also bring constraints to another function. Hence,
all the impacts of those elementary works have to be identified. This
paper introduces method and tool to aid designers in understanding
the potential effects of change based on studies of industrial complex
product.

Dynamic Interactions between Knowledge Creation andResource Mobilization in R&D Management: A Case of the
Inkjet Innovation in JapanKen Hashimoto1, Shuzo Fujimura1
1
Tokyo Institute of Technology, Japan

Based on dynamic interactions between knowledge creation (KC) andresource mobilization (RM), we propose a new research method for afirm’s R&D management using two indicators: transition of new
product technologies for KC, and dynamic change in the number of
inventors for RM. We apply the proposed method to the R&D
competition between Canon’s thermal inkjet (TIJ) and Seiko Epson’s
piezoelectric inkjet (PIJ) over three decades. The results suggest that afirm’s KC direction is controlled by its technology selection, and its RM
is influenced by the competitor’s KC rather than its own KC. RM rate
seems to reveal a firm’s strategic position: “competition between
technologies” or “habitat segregation of technologies.”

Evaluation of the Sci-tech Service Industry Based on Factor
Analysis - A Demonstration Study of 30 Provinces in China
Hongtao Yang1, Huiling Huang1
1Harbin Engineering University, China

This paper attempts to establish an evaluation index system for the
sci-tech service industry, and utilizes Factor Analysis to analyze thecompetitiveness of sci-tech service industry of 30 provinces in China.
By using Factor Analysis, this paper extracts three common factors andtries to explain and define them, then ranks the 30 provinces in China
according to the score each common factor and comprehensive
evaluation. According to the result, we can get the conclusions that thesci-tech service industry of Heilongjiang Province needs to develop
and improve. Finally, some countermeasures are put forward toencourage and develop the sci-tech service industry of Heilongjiang
Province.

Using Methodologies to Embed Knowledge into the
Information Systems Development Process: An Investigation
into the IT Sector in China
Younes Benslimane1, Zijiang Yang1
1
York University, CanadaThis paper investigates the use of methodologies in the Information
Technology (IT) sector of China. Based on a knowledge management
perspective, this paper examines how knowledge derived from amethodology can be used to support the Information System (IS)development process and to improve the chances of success of IS
development projects. Three specific domains of knowledge areconsidered in this analysis: “production support” knowledge, “control
support” knowledge and “cognition support” knowledge. Findings
from a survey of 82 senior IT professionals showed that the adoption of
methodologies helps to embed valuable knowledge into the IS
development process. The routine utilization of the stock of knowledge
hence embedded allows to improve the IS development process andthe performance of IS development projects. The implications forresearch and practice are discussed.

62

The Impact of Openness on Innovation Performance ofChina's Firms: from the Perspective of Knowledge Attributes
Xiaoting Zhao1, Liang Liang1
1
Zhejiang University, China

Chesbrough's open innovation paradigm offers a new way to develop
innovation strategy. Open innovation could improve innovation
performance, but too much openness would bring negative impacts toinnovation performance due to the leakage of key technology, thesearching cost and the transaction cost. This research tries to explore
the relationship of openness and innovation performance of China's
firms and find the moderating roles of the knowledge attributes of
R&D projects. Based on the literature review and theoretic analysis, thepaper discusses the influence of openness on innovation performancefrom the perspective of knowledge attributes, develops a conceptualmodel and generates six hypotheses worth further study. This study
presents more profound insights on how knowledge attributes
influence the effect of open innovation, which may add both academic
and practical value to the field of open innovation.

Measurement and Improvement of Individual e-Business
Capability
Chui Young Yoon1, Byung Hwan Kim2
1
Chungju National University, South Korea
2
Korea Politec II College, South Korea

Measuring an individual e-Business capability is important to manage
and improve their work ability in an e-Business environment. This
study presents a tool to measure an individual e-Business capability
with the measurement items, process, and method based on theprevious literature. The developed tool construct were verified byfactor and reliability analysis. This tool has four measurement factors
and sixteen items. The utilization of the developed tool was confirmed
by applying it to a case study.

Relations between Corporate Philanthropy and Antecedent
Variables: Based on the Empirical Data
Xueying Tian1
1
Suzhou University of Science and Technology, China

Corporate philanthropy is growing rapidly in the whole world. Basedon theory analysis, we propose four research hypotheses which showthat these factors have influence on corporate philanthropy. And then aresearch was made of the data collected from 428 firms involved inphilanthropy from Shanghai securities exchange in 2008. The test basedon regression analysis show that the firm size, the assets-liabilities ratio
and the educational level of manager have influence on donation
amount, and the effects of three antecedent variables on corporate
philanthropy are different. Finally, an outlook is proposed in the
future.

Key Performance Indicators for Sustainable Manufacturing
Evaluation in Automotive Companies
Elita Amrina1, Shari Mohd Yusof2
1
Andalas University, Indonesia
2
Universiti Teknologi Malaysia, Malaysia

The automotive industry is regarded as one of the most important andstrategic industry in manufacturing sector. It is the largest
manufacturing enterprise in the world and one of the most resource
intensive industries of all major industrial system. However, its
products and processes are a significant source of environmental
impact. Thus, there is a need to evaluate sustainable manufacturingperformance in this industry. This paper proposes a set of initial key
performance indicators (KPIs) for sustainable manufacturing
evaluation believed to be appropriate to automotive companies,
consisting of three factors divided into nine dimensions and a total of
41 sub-dimensions. A survey will be conducted to confirm theadaptability of the initial KPIs with the industry practices. Future
research will focus on developing an evaluation tool to assesssustainable manufacturing performance in automotive companies.

Session
Date
Time
Room
ChairsFacilities Planning and Management
Thu, 8 Dec
11:00 - 12:30
Jupiter III
Ching-Tsung Hung, Mahdi Bashiri

A Fuzzy Set Covering-Clustering Algorithm for Facility
Location Problem
Rashed Sahraeian1, Mohammad Sadeq Kazemi2
1
Shahed University, Iran2
Shahid Bahonar University of Kerman, Iran

Mathematical models and solution algorithms which address the
problem of locating facilities and allocating customers varies widely interms of basic assumptions, mathematical complexity andcomputational performance. In this paper, we are concerned with aproblem of locating the number of facilities among a finite number ofsites such that all existing sites (customers) are covered by at least one
facility. The problem was modeled and solved in three stages. In thefirst stage, an improved fuzzy set covering solution was proposed todetermine the minimum number of facilities. In the second stage, thewell known k-means clustering algorithm was applied for demandclassification into groups. In the third stage, the assignment model wasused to locate facilities in each cluster. Using extensive simulation
studies, we also show that the proposed approach performs
considerably well in all considered conditions in comparison to classic
covering methods.

The Scenario Based Regret and Min-Max Regret Approachfor Location-allocation Model of Distribution Center, with
Uncertain Parameters
Mahdi Bashiri1, Amir Moslemi1
1
Shahed University, Iran

The paper discusses about the location-allocation model for
distribution centers under an uncertain environment while demands
and transshipment costs change as model parameters. This may leads
to large cost deviation in total cost of the model between designed
optimal model and real optimal one. Scenario based robust
optimization approaches including regret and Min-max regret areproposed based on the stochastic optimization. A Numerical example
illustrates the proposed model and the results have been reported.
Finally the comparison of results for mentioned approaches has been
done for better explanation.

A Simulated Annealing for Solving a Group Layout Design
Model of a Dynamic Cellular Manufacturing System

Reza Kia1, Reza Tavakkoli-Moghaddam2, Nikbakhsh Javadian3, Mohammad
Kazemi3, Javad Khorrami3
1Islamic Azad University, Iran
2
University of Tehran, Iran
3
Mazandaran University of Science and Technology, IranThis paper presents a novel mixed-integer non-linear programming
model for the layout design of a dynamic cellular manufacturingsystem (DCMS). A novel aspect of this model is concurrently making
the cell formation (CF) and group layout (GL) decisions in a dynamic
environment. The proposed model incorporates several design features
including alternate process routings, operation sequence, processing
time, production volume of parts, purchasing machine, duplicate
machines, machine capacity, lot splitting, intra-cell layout, inter-celllayout, multi-rows layout of equal area facilities, and flexible
reconfiguration. An efficient simulated annealing (SA) algorithm isextended to solve the proposed model because of its NP-hardness. It isthen tested using several problems with different sizes and settings toverify the computational efficiency of the developed algorithm incomparison with the Lingo software. The obtained results show thatthe proposed SA is able to find the near-optimal solutions in areasonable computational time.

A Multi-Period Facility Location-Relocation Problem in the
Presence of a Probabilistic Line Barrier
Mehdi Amiri-Aref1, Nikbakhsh Javadian1, Reza Tavakkoli-Moghaddam2,
M.Bahador Aryanezhad3
1
Mazandaran University of Science & Technology, Iran
2
University of Tehran, Iran
3
Iran University of Science and Technology, IranThis paper presents a mixed-integer nonlinear programming model(MINLP) for a multi-period facility location-relocation problem in thepresence of a line-shaped barrier, which the starting point of the barrier
follows the uniform distribution function. Rectilinear metric for the
distance between points is supposed. The objective function of the
proposed model minimizes the cost of traveled expected barrier
distance and the cost of relocation, if occur, during the finite planninghorizon. In addition, to show the capability of the proposed model, anumerical example is investigated and the associated results arecompared with the results of problem without barrier.

Warehouse Storage Assignment: the Case Study of Camera
and Lense Manufacturer
Chompoonoot Kasemset1, C. Rinkham1
1
Chiang Mai University, Thailand

This study presents the application of storage assignment in warehousemanagement to the case study of camera and lense manufacturer
located in Thailand. The objective is to improve the movement of
products and parts used in the assembly line by proposing two newpolicies for storage assignment. The policies are based and evaluated;by product model and part customer. These policies are practicalbecause they can be simply implemented and understood by workers.
The results of the two policies as compared with the existing systemgive the total transportation distance of 5375.6 meters per day, 5262.7
meters per day and 6282.2 meters per day, respectively which indicate
a reduction of 14.43% and 16.23% from the existing situation.

63

Session
Date
Time
Room
ChairsSurvey on Energy Efficiency Measurements in Heterogenous
Facility Logistics Systems

Engineering Economy and Cost Analysis
Thu, 8 Dec
13:30 - 15:00
Jupiter III
Chia-Liang Hung, Corrado lo Storto

Christian Prasse1, Andreas Kamagaew1, Sebastian Gruber2, Kathrin
Kalischewski1, Stefan Soter2, Michael ten Hompel3
1
Fraunhofer Institute for Material Flow and Logistics, Germany
2
University of Wuppertal, Germany
3
TU Dortmund University, Germany

Production System with Respect for Variable Quantities foran Economical Electric Vehicle Production
G. Schuh1, Achim Kampker1, Peter Burggraf1, Carsten Nee1
1
University of Aachen, Germany

The increasing amount of traffic in modern mega cities as well as the
scarcity of oil makes the mobility of the future a social core problem.
The awareness of emissions and environmental friendliness attract
major interest in electric mobility. Electric vehicles are in directcompetition with conventional powered cars, but high prices lead to avery reserve acceptance and market diffusion. Companies need tobuild up competencies to develop and produce electric vehicles which
are attractive to customers; potentials lie in a complete
purpose-oriented redesign according to the specification of electric
mobility. An integrated product and process development helps to tap
the full potential in terms of cost and value-oriented production. New
production processes bundled in a production system need to be
identified to reduce production costs, enabling e-mobility to competewith conventional powered cars.

Egon Mueller1, Markus Buschmann2, Kai-Uwe Wonneberger2
1
Chemnitz University of Technology, Germany
2
Volkswagen AG, Germany

The lack of information concerning energy flows can be seen as asignificant barrier to increase energy efficiency in an industry. The
extension of energy measurement systems often fails due to thedifficult appraisal of expected reflux. The shown model presents a way
to overcome this barrier by forecasting potentials and also including
soft facts into the appraisal. Learning effects objectify the presented
model through time and make it more stable. In result, an expected netpresent value can be calculated and used in order to estimate theprofitability of installing a measurement device into a given technicalsystem.

Enrico Cagno , Guido Jacopo Luca Micheli , Donato Masi , Celeste Jacinto
1
Politecnico di Milano, Italy
2
Universidade Nova de Lisboa, Portugal
1

1

1

2

The aim of this paper is to present a literature review on models andmethods (tools) currently available for economic evaluations of OSH.
The work methodology involved a search through international
databases and science search-engines, as well as examining citations
from other authors. This scrutiny allowed establishing the state of theart in this field. As a result, relevant features of current approaches arecharacterized here and some methodological limitations in this domain
are briefly discussed; emphasis is put on the particular needs of Smalland Medium-sized Enterprises (SMEs). The main contribution of thisreview is that it constitutes an up-to-date platform from where tolaunch new developments and improvements in this research area.

64

Benchmarking in the Public Service Industry: The Italian
Water Service Management Sector
Corrado lo Storto1
1
University of Naples Federico II, Italy

Cost-effective Planning of Energy-measurement-systems

A Review on Models and Practical Methods for Economic
Evaluation of Occupational Safety and Health (OSH)

Basically there are two ways to improve the energy efficiency ofheterogeneous material flow systems - modification of technicalcomponents and control with intelligent strategies. In order to reducethe consumed energy the design, configuration and control strategy ofdifferent conveyor systems have to be analyzed by mechanical andelectrical measurements. To quantify the need of energy underconditions as close as possible to reality a testing facility with different
conveyor elements and electrical drives with power monitoring
capabilities was installed in order to give a database for further
research activities. On the one hand the acquired data can be used to
optimize the efficiency of the total drive train. On the other hand they
conduce to develop new intelligent control strategies for an energy
efficient operation of heterogeneous facility logistics system. Eventually,
the design of a monitoring system in a testing facility is the topic of thiscontribution.

The paper undertakes a benchmarking study of the water service
management sector in Italy using Data Envelopment Analysis. The
optimal territorial area (ATO) is chosen as unit of analysis, whilesample investigated includes 38 ATOs. Both technical and scaleefficiency are evaluated. Results of DEA implementation show that the
average pure technical and scales efficiency are situated at 92.62% and93.91%, respectively. Findings also show that efficiency is neither
related to service average tariff nor to investment planningeffectiveness. Returns to scale are investigated too.

Agent-Based Simulation of Economic Sustainability in
Waste-to-Material Recovery
Q.Z. Yang1, Y.Z. Sheng2, Z.Q. Shen2
1
Singapore Institute of Manufacturing Technology, Singapore
2
Nanyang Technological University, Singapore

This paper presents an agent-based approach to the economic
sustainability evaluation of adopting competitive recycling
technologies in waste-to-material recovery. The emphasis is put on thedevelopment of economic sustainability metrics for this evaluation andon the software implementation of an agent system to evaluatesustainability by using these metrics as agent simulation models. A setof model-driven sustainability metrics were defined to quantify the
economic impact of technical innovations in waste management. A
software agent was designed and implemented for simulating process
scenarios to consistently evaluate the economic sustainability ofdifferent waste-to-material recovery systems. Using the sustainability
metrics and the agent developed, a case study was conducted. Two
recovery processes were evaluated and compared for their economic
sustainability, measured in unit cost, share of cost of materials, process
efficiency, in-process recycling rate and economic efficiency.

Session
Date
Time
Room
ChairsService Innovation and Management
Thu, 8 Dec
15:30 - 17:30
Jupiter III
Suhaiza Zailani, Stephen Zhang

The Activities and Typologies in Service Innovation Design
and Deployment:A Socio-Technical Perspective on
University Based Living Lab
Hung Chih Lai1, Kae Kuen Hu2, Li Wei Chen2
1
Shih Chien University, Taiwan
2
National Taiwan University, Taiwan

The Living Lab approach is widely used to be a practical framework toachieve the goal of value co-creation. However, the complicatedproblems between stakeholders are still remaining. This study tries todefine the knowledge characteristics of the projects in the living lab,and explore the activities and driving forces in service innovation
process in order to construct an analytic model of the mechanism.
This explorative study uses "Grounded theory" as its primarymethodology. Base on the 8 cases, processes in service innovation
modeling can be sorted into four phases roughly: collaboration, service
design, market guidance, and service deployment. We discovered thatcollaborative actions of participants would free up hierarchicallimitations to concentrate on higher level management tasks with tacit
understanding interactions for the common goal in the service
innovation construction phase. An activities-based model is thenapplied to demonstrate the differences of the participants, while sometheoretical and practical implications are discussed.

Service Quality, Brand Image and Price Fairness Impact on
the Customer Satisfaction and Loyalty
Chi-Chuan Wu1, Shu-Hsien Liao2, Yin-Ju Chen2, Wei-Lun Hsu1
1
University of Tatung, Taiwan
2
Tamkang University, Taiwan

As the times progress and the enhancement of the public educational
level, life insurance has been paid much attention day by day.
Especially, medical insurance plays an important role in all sorts of life
insurance. Medical insurance is the invisible merchandise. Whilecustomers buy the invisible products, they usually place an importanceon invisible factors. The study problem into the direct impact onservice quality, brand image and price fairness; This research
anticipates after applying structural equation modeling (SEM), whilecustomers buying the medical insurance; service quality and brandimage has direct and positive impact on the customer satisfaction,
service quality and brand image has no direct and positive impact on
the customer loyalty. But service quality and brand image has direct
and positive impact on the customer loyalty through customer
satisfaction. After analysis, customer satisfaction has a direct andpositive effect on customer loyalty. Finally, after measure of pricefairness, whether it is a direct impact on customer satisfaction,customer loyalty, or indirectly affect customer loyalty throughcustomer satisfaction, all have no significant impact.

The Feasibility of System Dynamic Modeling in Value
Assessment of Industrial Services
Ville Ojanen1, Samuli Kortelainen1, Sakari Hyppanen2
1
Lappeenranta University of Technology, Finland2
Capgemini Finland, FinlandThis paper aims at revealing the possibilities of system dynamic
approach in value assessment of industrial services. The novelty of thepaper lies in the fact that current theoretical approaches and current
practices of comprehensive value assessment in companies do not fully
meet the needs of industrial firms. These needs relate to bringing forth
the customer value elements and foundations for service pricing whichfirms need to communicate to their customers. The presented approachis based on integrating the theoretical frameworks found in theliterature and practical needs derived from interviews of industrial
maintenance service firms. An illustrative example of simulating
different investment options and maintenance strategies is finallypresented to clarify the multiple benefits and aspects of system
dynamic modeling of industrial service system value.

Intermediating R&D and Marketing Value Creation by Open
Innovation
Shu Wang1, Jin Chen1, Fang Xie1
1
Zhejiang University, China

Based on the open innovation theory the paper explores several notableenterprises' behavior from high-tech products to service providers, andby comparing and contrasting the use of the service-basedorganizations and external R&D-related activities in companies athome and abroad, it pointed out how an eco-community orcommercial system can make it possible for the firms looking forservice and business to accomplish the external R&D-related activities
and marketing objectives. And by discussing the panel data of R&D
expenditure of companies in China, the paper analyses what kind ofstrategy and effort should be taken for attract the complement
resources from OI eco-community, especially by the firms' appetite
survey for OI process, it can be seen that inexorable R&D andmarketing service make social technology more important over time insome developing economies which make the subject area of service andrelationships a particularly important one for marketing value creation.

The Connection Between Customer Value Creation andInnovation Strategy: A Proposed Framework and Its
Implication in Fashion Products
Chien-Liang Kuo1, Chien Chiang Lin2, Yen-Kwan Wu3
1Chinese Culture University, Taiwan
2
Shih Hsin University, Taiwan
3
Industrial Technology Research Institute, Taiwan

The widespread concept of total customer value helps raise the issue of
how to generate value through user-centric view. This article puts its
emphasis on the sources of customer value creation and corresponding
innovations strategies, which were validated through a pilot study in
Taiwan. This study also compares commonalities and uniquecharacteristics on three fashion products from the customer value
creation perspective through the survey. The following implications areconcluded. First, nine factors and 51 elements were identified to be
useful for increasing customer value for Asian or Chinese people.
Moreover, some factors (e.g., emotional and delicacy factors) are founddifferent from those discussed in previous studies. Finally, practicalguidelines for value-based innovation are also discussed in this paper.

Service Innovation for the User Interface of an ATM
Catering to the Needs of the Student Community

Girish Krishnan1, Sanjay Kumar1, Jithin C.R.1, Vinay V. Panicker1, R
Sridharan1
1
National Institute of Technology Calicut, India

The paper develops and analyzes the simulation model of an
automated teller machine (ATM).This case study is carried out on an
ATM installed in an Institute of National importance in the Southernpart of India. Two simulation models have been developed to analyze
the effectiveness in a modified ATM. This work proposes to provide
information about the availability of a particular denomination ofcurrency before the customers enter the system.

Adoption of New Service Development Tools in the
Financial Service Industry
Dayu Jin1, Kah-Hin Chai1, Kay-Chuan Tan1
1
National University of Singapore, Singapore

This paper looks into antecedents of new service development tool
adoption by using Theory of Planned Behavior. Empirical study was
conducted among Singapore financial service firms. The results showthat usefulness, ease of use, compatibility and resource commitment
significantly affect tool adoption behavior.

Identification of Best Practices to Achieve Innovation,
Corporate Entrepreneurship and Spinoff in Chilean
Companies
Alfonso Bastias1, Patricio Cortes1
1
Universidad del Desarrollo, Chile

The Corporate Entrepreneurship is the entrepreneurial behavior thathas an objective to create new businesses inside medium and big
companies, focusing on innovation of products and processes and thedevelopment of new markets. Spin Off is a broad concept that refers to
a separation of a unit within the parent company. The motives toachieve this are various, but generally are referred to the search ofwining flexibility and simplicity in the operation of a particularbusiness. Corporate´s Spin Offs is originated by one or moreindividuals (Spin-Off entrepreneurs)C that are looking for thedevelopment and capture of a high potential idea, that is based on theexperienced acquired within the parent company[1, 2].
In a collaborative effort between CORFO1- Corporación de Fomento ala Producción, CPC2 - Confederación de la Producción y del Comercio,
y el IDB3 - entrusted Universidad del Desarrollo with a study toevaluate and identify the best practices that incentive the Corporative
Spin Off in Chile. The program included the participation of a total of
46 companies, through five independents agencies, identifying themore relevant characteristics that the companies has to have in order toincrease the probabilities of success in the implementation of
corporative Spin Offs.

65

Session
Date
Room

Poster Session 2
Thu, 8 Dec
Venus III

Application of Fuzzy Mathematical Programming to
Optimize an Integrated Production-distribution System
Fardin Ahmadizar1, Mehdi Zeynivand1
1
University of Kurdistan, IranProviding an efficient unified plan that integrates production anddistribution plans in an uncertain environment is necessary to ensure
the overall effectiveness of supply chain management. This paper
presents a fuzzy bi-objective linear programming model for integrating
multi-product and multi-period production-distribution planning intoa unified framework considering fuzzy production and demand. In
this model, products deliver to retailers through cross docking or direct
shipment strategies. The aim is to determine the optimal configurationof the production-distribution network in order to simultaneously
minimize the total costs and design a JIT distribution system in athree-echelon supply chain. Triangular fuzzy numbers are used torepresent fuzzy parameters, and a two-phase approach based on aweighted average method and weighted additive model is applied tosolve the proposed model. A numerical example is then used tovalidate the applicability of the model.

Supplier Development: a Decision Making Problem
Zahra Sharafi1, Jamshid Parvizian2
1
MAPNA Group, Iran
2
Isfahan University of Technology, IranSupplier development is considered here as a decision making problem.
The decision should be made by the buying firm to dedicate efficiently
its limited resources to develop its suppliers, based on their strategic
importance. The proposed model has three stages. Suppliers are
clustered according to their eligibility for resource allocation, using Self
Organizing Maps (SOMs). Then the gap between their current anddesired statuses during cooperation is measured. Strategies aredesigned to improve suppliers to reach the desired status. Different
relationship and development strategies should be employed for eachcluster according to their characteristics.An industrial case is presented
to show how the model can be used in real life.

Application of Fuzzy-AHP Extent Analysis for Supplier
Selection in an Apparel Manufacturing Organization
Mohammad Mahmudur Rahman1, Kazi Badrul Ahsan1
1Khulna University of Engineering and Technology, Bangladesh

A supplier selection is inherently a multi-criterion decision making
problem. It must be systematically considered as it is a decision ofstrategic importance of companies. Lots of models have beendeveloped to find an optimum solution of this complex and
unstructured decision making problem. Fuzzy Analytic Hierarchy
Process (Fuzzy AHP), which is a synthetic extension of classical AHP, is
one of the best method for deciding among the complex structure atdifferent levels. In this paper an extent analysis of fuzzy analytic
hierarchy process (AHP) has been applied to evaluate and select thebest supplier firm providing most satisfaction. The evaluation criteria
are developed particularly for an apparel manufacturing organization
and used successfully in the proposed model. A detailed step-by-step
implementation method is presented in this paper and finally the best
supplier was selected to prove the validity of the method.

A Model for Evaluating Lean, Agile, Resilient and Green
Practices Interoperability in Supply Chains

Pedro Espadinha-Cruz1, Antonio Grilo1, Rogerio Puga-Leal1, Virgilio Cruz
Machado1
1
Universidade Nova de Lisboa, Portugal

Due to market pressures and increased competition, companies were
led to adopt collaborative working practices by creating
communication networks and integrated material and product flows.
Supply Chain Management is one key to success in this sector, being
one recent and powerful operations strategy tool that led to success inmany enterprises all over the world. However, it is not affordable toconduct SCM's newest methodologies like Lean, Agile, Resilient andGreen being subject to problems of interoperability. This paper
presents a model to evaluate the overall business interoperability andestablish what measures can reduce interoperability problems in the
SC.

66

Arena Simulation Model for Multi Echelon Inventory
System in Supply Chain Management
Kunal Patil1, Kai Jin1, Hua Li1
1
Texas A&M University-Kingsville, United States

Supply chain inventory management (SCIM) is an integrated approachto the planning and control of inventory throughout the wholenetwork of cooperating organizations from source of supply to the end
user. Research shows that Multi Echelon Inventory System can help
companies save costs. In this paper, simulation model is being
developed for multi echelon inventory system in supply chain using
Arena 7.0. Model consists of three active members in it: One
distribution center, three retailers and customer. Our model focuses on
improving sales and reducing lost sales by introducing theinterrelationship among retailers. The simulation results show thatinterrelationship with sharing inventory among retailers will help
retailers increase their sales.

Stability of Production Lines with Multiple Delays
Narthan Cemal Saadet1, Ali Fuat Ergenc1
1
Istanbul Technical University, Turkey

In this study, the effects of time delays in the stability of a production
line system are investigated. The time delay, which may be caused bywhether machine failure, human error or product change, is very
important parameter in the production line. Production period can bealso considered as pure time delay in the modeling of production
systems. Continuous flow models are used represent the dynamics ofproduction lines incorporated time delays in the model. The reference
model for the study consists of three independent lines of which two ofthem are parallel to each other and the last one is tandem to those, witheach having their own limited capacity buffers. Our goal is todetermine the system's stability regions that are drawn in the space oftime delays based on production rates in order to give decision makers
a guideline how to balance production lines facing time delays.

Fuzzy Guidance Strategies for Fair Multi-Agent Negotiationof Wholesale Price Contracts
Omar Kallel1, Ines Ben Jaafar1, Lionel Dupont2, Khaled Ghedira1
1
Universite de Tunis, Tunisia
2
Universite de Toulouse, France

In this paper, we investigate the negotiation aspect of wholesale pricecontracts in a supply chain with a retailer buying from several
subcontractors. The objective is to help actors in an asymmetric
informational context to reach agreements and establish fair contracts.
Thus, we present two multi-agent models with the same architecture; aretailer agent negotiating with several subcontractor agents and a fairagent trying to provide some fairness guidance in the negotiation. In
the first model (AGS), the fair agent intervenes when an agent makes arelatively low or high offer; he asks this agent to behave differently. In
the second model (DGS), the fair agent intervenes when a significant
difference appears between the margin rates of the negotiators; hedirects them by giving the new rate to apply in the next step.
Experiments show more fair results with DGS than AGS.

A Simulation Comparison Analysis of Effective Pallet
Management Scenarios
Maria Grazia Gnoni1, Gianni Lettera1, Alessandra Rollo1
1
University of Salento, Italy

Pallet management usually involves direct and reverse logistics flows;
it represents a critical activity for several logistics providers all over theworld. Pallets are needed in order to ship products through the whole
supply chain. In the European area, a standardized quality-assured
system – defined as the “EPAL-System” – works as direct or postponedinterchange could be applied. Service level could be improved by bothincreasing pallet availability in the direct logistics and reducing total
cost of the reverse logistics. The purpose of this paper is to provide aneffective comparison of different pallet management scenarios basedon EPAL-System. The two organizational interchange procedures
allowed by the EPAL-System have been tested. A simulation model has
allowed to compare four scenarios in terms of supplier’s service time,internal operations, and overall operating costs. Results confirm that abetter coordination of actors in the reverse chain enables to increase
performances of the whole system.

Does Topology Matter? Land Price and Road Network
Satoru Yamamoto1, Yuya Kajikawa1
1
The University of Tokyo, Japan

Forecasting market dynamics has been the prior concern for financial
studies. But current models with historical data, demographic feature,and econometric indicators does not show satisfactory performance.
The scope of this paper is to develop a model to forecast land prices.
We applied network analysis to express the structure of complex road
networks and extracted effective features influencing land price. We
demonstrated that the price model including the features extracted
from the road networks showed better performance in forecasting theprice than that with demographic features.

Market Information, Scope Economies, and Make-or-Buy
Decision under Information Asymmetry
Suxiu Xu1, Qiang Lu1, Xiaoming Hu1
1
Harbin Institute of Technology, China

This paper studies a make-or-buy (M-B) model in which a firm (sayFirm 1) may outsource a product to the unique vendor, the monopolist
in the outsourcing market, or produce in-house. A traditional solution
is provided based on both parties’ perfect information (PI). In the caseof asymmetric information (AI), the vendor abandons the virtual
information reported by Firm 1 and announces its “supply menu” toguarantee a certain yield for itself. We demonstrate, when outsourcing
occurs under AI, both parties’ expected profits increase with (Firm 1’s)
forecast accuracy if and only if “good” news is received. Outsourcing
strictly dominates in-house production if the yield of the vendor’s
production input is sufficiently low or its economies of scope areremarkably attractive. Furthermore, it is optimal for Firm 1 to holdinformation at first and decide whether or not to pool information only
after the vendor’s “supply menu” is announced. However, the vendor’s
profit is constrained by the trade-off between the coordination effort
that invested on pursuing Firm 1 to pool information and theadvantages resulting from its status of outsourcing market, production
cost, as well as scope economies.

Developing a New Consumption Experience Scale for
Taiwanese Fine Foods Culture
Ching-Yu Lien , Shu-Hwa Hsiao
1
Minghsin University of Science and Technology, Taiwan
1

1

The purpose of this study explores the experiences and feelings ofconsumers regarding Taiwanese fine foods culture before developing
the conceptual structure of a consumption experience scale for
Taiwanese fine foods culture. This paper uses Confirmatory Factors
Analysis (CFA) to examine 547 samples and Structural Equation
Modeling (SEM) to verify the reliability and validity of the proposed
consumption experience scale for Taiwanese fine foods culture. The
results show that the overall fit index, measurement, reliability, and thevalidity that the scale developed using this research are all within thereasonable scope, which indicates that the proposed consumption
experience scale for Taiwanese fine foods culture is sound in reliability,
validity, and fit. The results of this study provide researchers withfurther related examinations and data.

A Model for Carbon Management of Supplier Selection inGreen Supply Chain Management
Chia-Wei Hsu1, S. H. Chen2, Cherng-Ying Chiou3
1Tungnan University, Taiwan
2
National Taipei University of Technology, Taiwan
3
Overseas Chinese University, Taiwan

This study aims to utilize the Decision-making Trial and Evaluation
Laboratory (DEMATEL) and Analytic Network Process (ANP)
approach to recognize the causality and determine relative weights ofevaluation criteria of carbon management in green supply chain forimproving the overall performance of suppliers in terms of carbon
management. Thirteen criteria of carbon management with three
dimensions were identified from literature review and interview withthree experts at an electronics manufacturer. Results indicated that thefour most important criteria of supplier selection in terms of carbon
management were carbon governance (0.180), management systems ofcarbon information (0.163), training related to carbon management(0.142), and carbon policy (0.125). The proposed framework of supplierselection that can offer an insight for managers to understandcause-effort relationship and to select appropriate suppliers that is
capable of having competence in carbon management and to improve
suppliers' performance.

The ADT Evaluation Method Based on MCMC

Lizhi Wang1, Xiaoyang Li1, Tongmin Jiang1, Xiaotian Zhuang2
1
Beihang University, China
2
Arizona State University, United States

This paper proposes an accelerated degradation testing (ADT)evaluation method based on Markov Chain Monte Carlo (MCMC)
method. Firstly the degradation model, reliability model andaccelerated model of ADT are introduced; secondly, with theinformation above, the ADT evaluation method based on MCMC is
proposed; Thirdly, the evaluation results of this method would bestudied and compared with the evaluation results of the maximum
likelihood estimation method by two simulation examples. Finally, themethod proposed is taken to evaluate the lifetime and reliability ofsuper luminescent diode (SLD) as an engineering application.

The Impacts of Common Cause Failures for Two-Unit
Parallel Systems from RAMS+C Point of View
Chun-Yuan Cheng1, Min Wang1, Bee Leng Lee2
1
Chaoyang University of Technology, Taiwan
2
San Jose State University, United States

Common cause failures usually occurred in redundant systems inwhich the units or components are either identical or sharing the same
power supply. Earlier research aim to improve reliability, availability
and maintenance (RAM) of safety-related equipments by establishing
optimal testing schedules for those systems. However, frequency
maintenance tasks may not only induce unexpected failure due toinappropriate maintenance, but also increase the maintenance cost.
Cost-effective preventive maintenance model for the equipments were
provided to maintenance equipment availability with minimal cost. In
this study, the impacts of common cause failures (CCF) on the testingschedule and average maintenance cost are provided.

Redundancy Allocation for Series-Parallel Warm-Standby
Systems
O. Tannous1, L. Xing1, P. Rui2, Min Xie2, S.H. Ng2
1
University of Massachusetts, United States
2
National University of Singapore, Singapore

Increasing the reliability of a system is generally achieved by using
redundant components, which results in raising the system cost. A
great challenge in system design is to improve the system reliability
while still meeting the resources limitations, typically the budget
constraints. This paper considers the redundancy allocation problem(RAP) for series-parallel systems with warm standby sparing (WSP).
WSP is a type of dynamic redundancy that compromises the energy
consumption of a hot standby sparing system and the recovery time ofa cold standby sparing system. The existing RAP solutions mainly
focus on systems with cold and hot standby redundancies. This paper
presents two optimization solution methodologies, respectively basedon genetic algorithm and integer programming to achieve optimal
design of a series-parallel with warm standby redundancy. Bothmethodologies are illustrated using examples.

Simulation-Assisted Estimation of Failure Models with
Stochastic Hazard Rates
Ke Sun1, Songlin Chen1, Zhang Wu1
1
Nanyang Technological University, Singapore

Failure models with stochastic hazard rates provide more realistic andaccurate characterization of systems failure behavior under dynamic
and heterogeneous working environments. However, incorporation ofstochastic hazard rates results in compound distribution involving
integration over random variables, which generally does not haveclosed form solutions. Using Weibull models with gamma-distributed
shape parameters as an example, this paper proposes asimulation-assisted method for estimation of failure models withstochastic hazard rates. A simulated log-likelihood function isconstructed by approximating the compound failure distribution withstatistical sampling. An algorithm based on differential evolution issubsequently developed to implement maximum likelihood estimation
through optimization via simulation. The proposed simulation-assisted
method has been tested to be accurate in model estimation based on
numerical experiments using simulated data.

67

A Multi-Objective Identical Parallel Machine Schedulingwith Setup and Removal Times with Deteriorating and
Learning Effects
Alireza Amini1, Reza Tavakkoli-Moghaddam1, Fardad Niakan1
1
University of Tehran, IranThis paper considers an identical parallel machine scheduling problem
when there are position-based deteriorating jobs with setup andremoval times that are affected by the position-based learning effect.
The aim of the problem is to minimize the sum of the total tardinessand earliness, minimize the number of tardy jobs and minimize themean completion times. As a result, the mathematical model isdeveloped for the above-mentioned problem. Since this problem
belongs to NP-hard classes, three heuristic methods, namely shortest
processing time (SPT), earliest due date (EDD) and longest processing
time (LPT), are developed. Furthermore, some numerical experiments
are designed to compare the performance of these different methods.

Genetic Algorithms and the Cutting Stock Problem
Mohsin Malik1, John Taplin1, Min Qiu1
1
University of Western Australia, Australia

Most real world cutting stock problems are extensions of the classicalcutting stock with non-linearities and added complexities. Applicationof exact solution approaches is limited in such scenarios but
approximate methods such as heuristics and meta-heuristics can give
good solutions. However, the optimality of solutions is not guaranteed
because the global optimum is unknown. In this paper, genetic
algorithms (GA) are used to solve the classical cutting stock problem toextrapolate its performance for bigger and more complex CSP variants.

A Genetic Algorithm Approach for Modelling andOptimisation of MAJSP- Part II:GA Operators and Results
Roohollah Milimonfared1, Romeo Marian1, Zeinab Hajiabolhasani1
1
University of South Australia, Australia

This paper, as a continuation of A Genetic Algorithm Approach forModelling and Optimisation of MAJSP-Part1: Representation, will
focus on Multi-Attribute Job-Shop Scheduling Problem (MAJSP).
MAJSP is an extension of classical JSP. It represents more realisticscheduling problems since more attributes for jobs are included. The
objective is to investigate how the changes in GA operators may affectthe optimal fitness value (profit) for algorithms 7011 presented in theprevious part. The GA operators presented here include selection andcrossover. Since every machine is capable of performing a predefined
set of jobs, it is critical to keep in mind that the operators should bedesigned in a way that feasibility of schedules never becomes violated.
The rest of the algorithms are designed according to these assumptions
and the results are compared.

Examination of the Effectiveness and Robustness of the
Heuristics for Bay-based Quay Crane Scheduling Problem inPort Container Terminals
Jiang Hang Chen1, Stephen Zhang2, D.H. Lee1
1
National University of Singapore, Singapore
2
Pontifical Catholic University of Chile, Chile

The decision of quay crane scheduling problem is crucial for port
operators in port container terminals. In this paper, bay-based quay
crane scheduling problem is studied and three heuristics designed forthe studied problem are identified and their performances (measured
both effectiveness and robustness) are examined through a numericalexperiment. Herein, the robustness of the solving heuristics is definedas the quality of the methods, as measure by how well the solutions
constructed by the methods can offset the adverse impact generated by
the randomness of the input. Compared with previous studies in thisfield, the proposed benchmarking criteria (in terms of both
effectiveness and robustness) to evaluate the performance of theheuristics is unique and practical.

Improving Dispatch Operations in Complex Courier
Organizations

Laura Paulina Lara Avila1, Fatos Elezi2, Maria Caridi3, Udo Lindemann2
1
Daimler, Mexico
2
Technische Universitat Munchen, Germany
3
Politecnico di Milano, Italy

Efficient operations are essential for the survival of courier companies
in their respective markets. In order to support efficient operations of
the courier companies, a methodology for improving the dispatchprocess is proposed in this paper that incorporates both unitarian andpluralistic approach. In most of the actual operations research (OR), theobjective is to develop efficient algorithms for the business models
rather than the implementation of these algorithms into the realbusiness environment. This work takes one step further by using
pluralistic approach to validate the classic OR approach. The
methodology was implemented in one dispatch center of aninternational courier company. The implementation of themethodology revealed the possibility of reduction of two drivers,
which accounts for 80,000€ per year in savings. It is concluded that the
proposed methodology not only can provide efficient operations
alternatives but also can support the negotiation process with thesubcontractors.

Project Management for Small Wind Turbines: anExperimental Survey on Activities, Lead Times and Risks
Marcello Fera1, Roberto Macchiaroli1, Salvatore Miranda21Second University of Naples, Italy
2
University of Salerno, Italy

In the last years, among the several available renewable Distributed
Energy Resources (DER), a growing attention has been paid to small
wind turbines (i.e., < 200 kWp). In particular, during the last years the
Italian market has been growing up very rapidly (since only 7-10 years
ago it simply was not existing while nowadays the total installed
power has reached 8 MWp). In such a new market often operations
related to commissioning and installing a small wind turbine have to
be faced and validated for the first time. The objective of this paper is
to summarize the experience of the authors in the application of
traditional project management tools in this field to facilitate investors,
project managers and stakeholders facing this market for the first time
and to offer them a reference timeline in order to plan all financial andfield activities.

Composing a Technology Delivery System for an Emerging
Energy Technology: The Case of Dye-Sensitized Solar Cells
Ying Guo1, Xuefeng Wang1, Donghua Zhu1
1
Beijing Institute of Technology, China

This paper presents an approach to ascertain and represent the key
elements and dynamics of a "technology delivery system" ("TDS") for
emerging energy technologies. We describe a 10-step analytical process
to help characterize the technology, gauge its state of development, anddepict the socio-technical system institutions and actors. We apply thisanalytical process to develop a TDS model for a promising "new andemerging science & technology"-- dye-sensitized solar cells ("DSSCs").
We consider this technology in terms of technological push versus
demand pull. We offer a new "cross-charting" method to associate
novel nanomaterial-enabled capabilities to functional advantages theymight offer, and to link those functions to potential applications. The
resulting systems model can help private and public sector
decision-makers grasp the key structures and processes and how thesecan be tuned to enhance the prospects of successful innovation
deriving from the emerging energy technology.

Innovation Risk-utility Pathway Method Applied to
Dye-sensitized Solar Cells
Ying Guo1, Xuefeng Wang1, Donghua Zhu1
1
Beijing Institute of Technology, China

New & Emerging Science & Technologies (“NESTs”) are increasingly
studied by Future-oriented Technology Analysts because of theirpotentially important "emerging applications." However, the highuncertainty and dynamics of NESTs pose special challenges to
traditional forecasting tools. This paper combines methods of risk
utility theory and technology path research to explore a new
innovation risk-utility pathway modelling method for NESTs
development. We illustrate the use of temporal change patterns andleading actor indicators, presenting illustrative results for thedevelopment of dye-sensitized solar cells (DSSC).

68

Full Service Vehicle Manufacturing: Rise and Fall
Alan Pilkington1, Luciano Ciravegna11
University of London, United Kingdom

The literature and theory of supplier involvement in the design andmanufacture of products in the automotive sector has not kept pacewith developments in the industry. We explore the previously
undocumented emergence of full service vehicle manufacturers (FSV)
which produce finished products for the large manufacturers. The
emergence of FSVs is explained using transaction cost ideas as they do
not carry the costs of developing engines and power trains and so havebeen competitive in traditionally marginal markets. FSVs have recently
seen a shakeout with some developing whilst others have faltered, andwe explain the differing success through a changing focus of capability
from design to production once vehicles have become established in
the market.

A Prescriptive Approach to Understand Customer Needs
Using Value-focused Thinking
Xinwei Zhang1, Guillaume Auriol1, Claude Baron1
1
University of Toulouse, France

In the paper a prescriptive approach to understand customer needs is
proposed, which helps to transform the subjective, human-centric
problem into a more objective, decision-making problem. By
recognizing the diversity of levels or granularities of initially identified
customer statements, techniques of fundamental objectives hierarchy
and means-ends objectives network are utilized to qualitatively
structure the customer statements. A set of customer needs suitable formeasuring is then identified. By carefully selecting an appropriate
measure for each customer need in the set, quantitative value model for
conjoint measurement is constructed with multiple attributes
preference theory. The implications of quantitative understanding on
customer needs in terms of values, e.g. weights and even swap, arefurther discussed. The business benefit of the approach is the breadthand depth of understanding of customer needs and values.

Investment Center Framework

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

This paper is about a framework that would rationalize the existence ofvarious organizations within a company and their contribution to theultimate objective of the firm which is to maximize profit while
delighting its customers. The Investment Center Framework (ICF)
represents the various stakeholders in a corporation and establishes
their relationships. The customer, which is the most important
stakeholder, has to be served by the various organizations including
government regulatory institutions through the investment centers or
front line organizations. The relationships between the investment
center and the other stakeholders should be governed by standard
processes that are consistent and sustainable yet flexible to changes
and new developments in the business environment. What is unique
about this set-up is that support organizations like Shared Services
Centers (Legal, IT, Finance, Logistics, HR, Marketing, etc) have tocompete for the services of third party suppliers to make them more
efficient and competitive.

Robustness and Reliability Consideration in Product Design
Optimization Under Uncertainty
Xiaotian Zhuang1, Rong Pan1, Lizhi Wang2
1
Arizona State University, United States
2
Beihang University, China

Robustness and reliability are two important issues to be considered in
product design optimization under uncertainty. Robustness is used tocounter manufacturing variation and improve product quality, andreliability is used to maintain structure design feasibility by
probabilistic constraints. This paper considers robustness andreliability simultaneously by a multi-objective reliability-based robust
design optimization (RBRDO) problem. A Pareto frontier optimization
strategy is employed to indicate the trade off tendency between two
objectives. To enhance the efficiency of RBRDO, a constraint moving
approach is proposed to convert probabilistic constraints into
deterministic constraints. An I-beam case study illustrating RBRDO
framework and applicability is proposed in the paper, the result is a
Pareto frontier to trade off robustness and performance value.

System Dynamics Modeling for EFQM Excellence Model:
Case Study of a Regional Electricity Company in Iran

Mohammad Dehghani Saryazdi1, Kazem Noghondarian2, Mohammad Saleh
Owlia1, Jamal Hosseini Azabadi2
1
Yazd University, Iran
2
Iran University of Science and Technology, Iran

Excellence models, such as European Foundation for Quality
Management (EFQM) provide a framework for the self-assessment.
The EFQM model consists of two main domains: Enablers and Results.
Feedback from the results makes the organization to correct the system.
Hence, a dynamic model could be appropriate in analyzing theinterrelated behavior of the two main domains as well as those within
the criteria and sub-criteria. In this paper, a dynamic model ispresented in which the EFQM model items are linked through thecausal relation-ships. The case study described in this article isconcerned about Yazd regional electricity company in Iran. The
advan-tage is that by changing one parameter in the model, one canfind how it could affect other parts of the model including the key
results. By this analysis, it could be expected that the efficiency of
EFQM model would be improved.

Control Chart for Monitoring Dependent Binomial Processes
Tsen-I Kuo1, Cheng-Shih Lin1, Tung-Tsan Chen1, Hsin-Hua Hung1
1
National Quemoy University, Taiwan

Many processes data are autocorrelated, and traditional methods maylead to false results. Hence, traditional methods are not appropriate.
Attribute control charts for monitoring dependent processes arelacking. Hence, we will investigate attribute control charts formonitoring dependent binomial processes in this study. We evaluate
the performance of attribution control charts for monitoring dependent
processes by average run length.

System Integration Issues – Causes, Consequences &Mitigations
Adalberto Coelho Silva1, Geilson Loureiro1
1
National Institute for Space Research, Brazil

Usually the systems integration in traditional designs is consistently
underestimated. The increasing complexity of systems integration
poses many challenges to system developers and integrators. During
this phase, unexpected and unforeseen issues have rise. Most of theseissues are inter organizations/ inter subsystems. When the project gets
more complex, with more users, more suppliers, more processes within
the company, and more functions and subsystems, the integration
phase of the system becomes extremely difficult. System integration
involves the combination of products from various sources / companies
in a system - it means: interoperability, compatibility. The main
purpose of this paper is to analyze the causes, consequences, andpossible mitigations for issues found in systems integration.

Process Cascade- and Segmentation-Based Organizational
Design: A Case Study
Markus Kohlbacher1, Doris Weitlaner1
1
University of Applied Sciences CAMPUS 02, Austria

Business process orientation means focusing on the organization’s
business processes instead of placing emphasis on functional structuresor hierarchies. In this paper we discuss the approach of processcascading and segmentation, a design principle which helps
organizations to build its structure around its customer-oriented
business processes. Cascading of processes is an approach where theorganization’s business process design is based on internalcustomer-supplier relationships which ensure that every businessprocess of the organization has a clearly defined (internal) customer
which places an order and also receives the results. Segmentation ofbusiness processes refers to the idea of creating process variants ofbusiness processes which face heterogeneous market and/or customer.
Both principles – cascading and segmentation of business processes –complement each other. We show how these design principles areapplied in practice by using an Austrian manufacturing firm as a casestudy.

69

Determining Economic Manufacturing Quantity, theOptimum Process Parameters Based on Taguchi Quadratic
Quality Loss Function Under Rectifying Inspection Plan
Ismail Al-Me'raj1, Yahya Cinar1, Salih Duffuaa1
1
King Fahd University of Petroleum and Minerals, Saudi Arabia

The problem of determining the optimal economic manufacturing
quantity and the optimal process parameters is an important problem
in production and quality control. This problem has been addressed byChen and Lai using profit maximization as a criterion to obtain the
optimal manufacturing quantity and the mean of the process. In thispaper Chen and Lai has been extended to determine the optimal
manufacturing quantity, the mean and the variance of the process andthe specification limits using rectifying inspection. The simulated
annealing approach has been applied to obtain the optimal solution.
The utility of the model is demonstrated via a realistic example. The
model developed can be utilized to determine the optimal economic
manufacturing quantity and process target simultaneously and is
expected to provide more insights in managing this important
problem.

Identifying Quality Improvement Opportunities in a
Manufacturing Enterprise
Stanley Fore11
Cape Peninsula University of Technology, South Africa

Quality management has gained paramount importance in the
manufacturing process. The emphasis on reduction of quality costs foranalysis of alternatives in productivity improvement is increasing.
Business today requires quality throughout the value chain. At the casestudy company , there is an ineffective quality management systemwith very little quality control and monitoring of activities thus leading
to an average of 16% of the production hours being attributed toreworks, re-inspection, scrap and waste, hence impacting negatively on
productivity. Due to final product inspection, reworks, re-inspection,
scrap and waste have been on the increase within the production
processes. The paper investigates the quality issues that are negatively
impacting on productivity using a qualitative approach. Measures toimprove quality are suggested resulting in productivity improvement.
Some of these measures include training employees, and adoption ofquality tools such as statistical Process Control amongst others.

An EWMA –Based Method for Monitoring Polytomous
Logistic Profiles

Hamidreza Izadbakhsh1, Rassoul Noorossana1, Marzieh Zarinbal2, Amir
Zarinbal3, Mohammad Reza Safaian4, Majid Chegeni5
1
Iran University of Science and Technology, Iran2
Amirkabir University of Technology, Iran
3
University of Waterloo, Canada
4
Expert of Water and Wastewater Company, Iran5
Azad Islamic University, IranIn certain statistical process control applications, quality of a process or
product can be characterized by a function commonly referred to as
profile. Some of the potential applications of profile monitoring arecases where the quality characteristic can be modeled using
dichotomous or polytomous variables. Polytomous variables,
especially ordinal variables, have various applications. An ordinal (orordered) variable is a categorical variable whose values are related in agreater/lesser sense. In this paper, we proposed three methods formonitoring a profile when the process/service output is an ordinal
response variable. Ordinal logistic regression (OLR) provides the basis
for our profile model. Three methods including chi-square statistics,
exponentially weighted moving average (EWMA) statistics, andcombination of these two statistics are proposed to monitor OLR
profiles in phase II. The performances of these three methods areevaluated by average run length criterion (ARL).

70

Session
Date
Time
Room
Chairs

E-Business and E-Commerce
Fri, 9 Dec
08:30 - 10:30
Venus ICharles Mbohwa, Pei-Lee Teh

A Procurement Model in an Electronic Market with
Coordination Costs
Jishnu Hazra1, B. Mahadevan1
1Indian Institute of Management, India

Electronic markets provide an alternative channel for industrial
procurement. Some argue that number of suppliers selected for award
of contract could increase several others predicted that the number ofsuppliers will be fewer. We investigate this issue by modeling the
procurement process in an electronic market. Our results show that
inclusion of coordination costs in the analysis is significant in thedecision-making framework. We find that variations in suppliercapacities do not significantly affect the optimum number of suppliers
when there are costs of coordination. Furthermore, we also show thatmanagers do not gain much by pre-qualifying a large pool of suppliers
to participate in the procurement process.

E-business and E-commerce Applications and Trends in the
Retailing Sector in Zimbabwe
Charles Mbohwa1, Batanai Sammie2
1
University of Johannesburg, South Africa
2
University of Zimbabwe, Zimbabwe

This paper discusses e-commerce adoption trends in the Zimbabwean
retail sector. Data were collected using questionnaire and interviews of
170 retailers and 73 customers selected in Harare. Zimbabwe's retailsector lags behind in e-business adoption. Key e-commerce
applications were in administration, accounting, management andcontrol systems with barcode-driven systems and debit card swipe
technologies being most common. Mismatch between the demand fore-business solutions by customers and the supply of such solutions byretailers and a pronounced digital divide between multiple store andsingle store retailers in the areas of network technologies wereidentified. The impact of e-business on business processes andcompany productivity is positive for multiple store and minimal forsingle store operators. Internal work organisation, procurement costsof supply goods and quality of product and services impacts areminimal. Scope exists for improved adoption and development ofe-business for Zimbabwean retailers through better policies andsupportive legislation.

MOA and TRA in Social Commerce: An Integrated Model
Pei-Lee Teh1, Pervaiz Khalid Ahmed2
1
Multimedia University, Malaysia
2
Monash University, Malaysia

The growth of social commerce and social shopping communities havechanged the nature of online shopping and human social interaction.
However, relatively little work has been conducted to study the
motivational factors affecting the individuals' social commerce
behavior. Drawing from both Motivation, Opportunity and Ability
Theory (MOA), and Theory of Reasoned Action (TRA), this paper
examines the influence of motivation, ability and opportunity on social
commerce
adoption.
Surveyquestionnaires
arepersonally-administered to 220 university students. Results indicatethat individuals' behavioral intention to use social commerce ispredicted with higher levels of motivation, ability and normative belief.
Individuals' behavioral intention to use social commerce alsosignificantly affects the individuals' actual social commerce behavior.
This paper concludes with a discussion of research implications andnew directions for future studies in the field social commerce.

The Effects of Psychological Factors on Online Consumer
Behavior
Shu-Hsien Liao1, Yu-Chun Chung1
1Tamkang University, Taiwan

The topic of online consumer behavior has been examined undervarious contexts over these years. Although researchers from a varietyof business disciplines have made significant progress over the past
few years, there are very few studies that directly investigate therelationship between psychology and online consumer behavior. In
view of this, this study provides a review of the relevant empiricalliterature and proposes a research framework. This proposed
framework not only provides us with a cohesive view of therelationship between psychology and online consumer behavior, butalso serves as a salient guideline for researchers in this area. This study
concludes with a research agenda for the study of the relationshipbetween psychology and online consumer behavior.

The Research on Relationships between Customers'
Perceived Value and Repurchase Intention
Yiming Xiang1, Lili Li2, Xin Zhong3
1
ZheJiang Gongshang University, China
2
the University of Manchester, United Kingdom
3
the University of Bridgeport, United States

The extent literature on customers’ repurchase intention has provided
little insight from customers’ perceived value of website. Based on
TAM, the theory of repurchase intention and the theory of customers’
perceived value, the model proposes switching costs, belief andperceived usefulness of website as customers’ perceived value that
determine customers’ repurchase intention. The proposed model is
empirically tested by using data collected from a survey of 287
customers. Results show that switching costs, trust and perceived
usefulness of website have positive effect on customers’ repurchaseintention. Finally, the findings provide understanding of the factorsthat measured repurchase intention success. At last, important
theoretical and practical implications of these findings are discussed.

Information Architecture for Online Review System
G. Rajesri1, P. Laras Ayutirta1
1
Bandung Insitute of Technology, Indonesia

This paper is intended to develop a comprehensive online review
system design comprising of (a) what information should be shownand (b) what information should be collected from reviewer.
Information/features in best practice online review template fromYahoo Developer Network and other 3 e-commerce websites are
discussed and analyzed using 5W1H to be then included in theinformation architecture. Moreover, this study also presents two
related policies that could be implemented in order to ensure that thecollected information from reviewer is not manipulated and to increase
the intention to provide online review. Those policies, together with theinformation architecture, were validated using expert evaluation andthe result showed that the online review system designed based on theinformation architecture and policies helps to provide important
information needed for comprehensive evaluation.

DMTT - An Approach for Business Document Mapping andTransformation in B2B Collaboration
Wen Jing Yan1, Chong Minsk Goh1, Puay Siew Tan1, Valliappan Ramasamy1
1Singapore Institute of Manufacturing Technology, Singapore

Business documents are frequently exchanged between business
entities as well as within the enterprise. In the context of dynamic
business to business (B2B) collaborations, where partnerships areformed in an ad-hoc manner, the relationships between the elements ofthese documents are often unknown to each. To translate theinformation from a document to another, a mapping andtransformation of these elements are required. To identify the possible
mappings automatically, a matching is performed. In the matching ofbusiness documents, one of the challenges identified is matching themulti-word used to define the element names. Our contributions in thispaper are two folds. Firstly, we proposed an algorithm to address thematching of multi-word in XML business documents using theircorresponding XML Schemas. Secondly, we proposed Document
Mapping and Transformation Tool (DMTT), a solution to the mapping
and transformation of XML business documents. DMTT employedcombined matching techniques to derive the recommended
correspondences of XML schemas with the consideration of bothelement and structural aspects of schemas.

Influencing Factors of Consumer Intention towards Web
Group Buying
Guobiao Xie1, Jie Zhu1, Qiang Lu1, Suxiu Xu1
1
Harbin Institute of Technology, China

In this paper, based on the technology acceptance model (TAM) we
explore the influencing factors of consumer intention towards webgroup buying. We took back 224 questionnaires. The samples are
students and staff in the company, who are the typical web groupbuying consumers. We use correlation analysis and regression analysis
to analyze the questionnaire data and test the hypothesis model. The
results show that perceived risk does not have a significant impact on
customer intention; however, electronic Word-of-Mouth (eWOM) anddiscount would influence the intention through changing consumers'
perceived usefulness and subjective norm.

71

Session
Date
Time
Room
ChairsManufacturing Systems (2)Fri, 9 Dec
11:00 - 13:00
Venus I
Elesandro Baptista

A Two-Stage M/G/1 Queue with Discretionary Priority
Zhaotong Lian1, Ning Zhao2
1
University of Macau, China
2
Kunming University of Science and Technology, China

In this paper, we study a two-stage M/G/1 queue with discretionarypriority. We construct an imbedded Markov model for specific time
points on the time axis. By investigating the embedded Markov chain,
the marginal queue length distribution, mean queue length and mean
waiting time can be figured out. As the special cases, the exponential,
constant and triangular service times are considered.

Heuristic Algorithm for Two-sided Assembly Line Balancing
Problem with Multi-objectives
Xiaofeng Hu1
1
Shanghai Jiao Tong University, China

This paper proposes a heuristic algorithm for two-sided assembly line
balancing problem to minimize line length and smoothness index. First,
the branch-and-bound algorithm is adopted to find the solution withminimal line length. Then, the station neighborhood is defined. With
the constraints of the line length, precedence and operational directions,some tasks are reassigned by comparing the loads of stations in theneighborhood to minimize the smoothness index. Finally, an example
is used to show the procedure of the proposed algorithm, and thebetter solution is obtained.

Considering Decision Maker Ideas in Product Mix Problems
by Goal Programming
Fahimeh Tanhaie1, Nasim Nahavandi1
1
University of Tarbiat Modarres, Iran

Theory of Constraints is an approach to production planning andcontrol that emphasizes on the constraints to increase throughput. Oneof the applications in theory of constraints is product mix decision.
This paper presents an alternative approach by using a goal
programming to determine the product mix of the manufacturingsystem. The objective of this paper is to provide a methodology inorder to make product mix decision. The key point of the proposed
methodology is to allow decision makers to determine the importanceof throughput and bottleneck machines via pair-wise comparison.
Through an example, the inefficiency of theory of constraints in
multiple bottleneck problems has been shown. Comparison of theoryof constraints, linear programming and other methods has also been
discussed to show the advantages of proposed method.

Optimization of Multi-skilled Operator Allocation to
Minimize Inventory Waiting Time
Adam Brown1, Fazleena Badurdeen1
1
University of Kentucky, United States

Operator allocation is a key aspect of manufacturing with both direct
and indirect implications on system performance. Resource capacity
must be managed carefully while still considering human factors like
probability of operator error, job satisfaction, and worker (and skill)retention. In many cases human resources are flexible in their ability tohandle various types of jobs, and this condition is favorable because it
makes the system more robust in the face of disruptive events.
Unfortunately, the benefits of worker flexibility may not be fully
understood or utilized on account of the many sources of variability
that exist and confuse the outcome of worker allocation decisions. The
purpose of this work is to quantify the effect of varying rework rates ofdifferently-trained employees working on multiple products.
Subsequently, the time that inventory spends waiting in queue isminimized through optimization of worker placement.

Application of Data Mining Techniques to Monitor the
Network-controllable Robot's Performance
James Yongjin Kwon1, Yongmin Park1, Jungwan Hong1
1
Ajou University, South Korea

This study presents the data mining techniques to monitor and classify
the network-controllable robot's performance. The robot is a part of the
networked production system, which can be accessed and controlled
via the Internet. In this study, the robot's repeatability is the main focusof the performance variables, of which being gauged with the use of a
networked vision system and a precision calibration grid. The collected
data are analyzed and made available over the network. The ability tomonitor and analyze the robot's important performance variables
presents many benefits. For example, the remote operator can decide
whether the robot is suitable for a new assembly task. The data mining
techniques utilized in this study effectively classify the repeatability
data. The visual display of classification results is also presented.

72

Average Flow Time Estimation of Jobs in a Flexible
Manufacturing Cell Consisting of a Number of Identical
Machines
Jannes Slomp1, Jos A.C. Bokhorst1, Rahul Caprihan2
1
University of Groningen, Netherlands
2
Dayalbagh Educational Institute, India

This paper concerns the estimation of flow times of jobs to be produced
in a Flexible Manufacturing Cell (FMC) consisting of a number ofidentical machines. An analytical expression is derived from a carefulanalysis of the elements of the flow time. Next, a simulation study is
performed which mimics reality and serves as a reference for thecomparison with analytical results. As a conclusion, we argue that theanalytical expression serves well to predict FMC flow time
performance. Analytical predictions of flow times are important forinvestment decisions and for setting lead times of jobs.

Numerical Simulation and Experimental Verification ofElectrode Life for Different Coolants and Its Flow in Plasma
Cutting Torch

M. Senthil Kumar1, B. Dhanasekar2, G. Ranga Janardhana1, S. Paramasivam3,
K. S. Jaya Kumar4
1
Jawaharial Nehru Technological University, India
2
General Motors, India
3
ESAB India Ltd, India
4
S.S.N College of Engineering, India

The plasma arc cutting technology is the one, which finds tremendous
potential in fabrication and manufacturing industries. The objective of
this work is to improve the life of the electrode, which is used inplasma cutting torch as consumable. There are many factors which
influences over the electrode life, one such factor affecting the life
drastically is overheated plasma system. To increase the life, propercooling is necessary to cool the system. The results of numericalsimulation as well as the experimental outcome due to the effect ofdifferent plasma coolants with different flow rates are presented. The
thermal behavior, due to three coolants, propylene glycol, ethylene
glycol and de ionized water, are analyzed using the CFD tool, FLUENT.
It has been experimented with different coolant flow rate to find theeffect of flow rate, it confirms an optimized coolant flow rate isrequired to achieve the better electrode life.

An Events-driven Scheduling Algorithm for Two-cluster
Tools with Processing Time Windows
Xin Li1, Richard Y. K. Fung1, Hongyi Sun1
1
City University of Hong Kong, China

This paper discusses a scheduling problem of two-cluster tools for
multi-type wafers with processing time windows. Firstly, a
decomposition method is used to decomposes the two-cluster tool into
three reduced single-cluster tools (RCT). Then, an events-driven
algorithm, based on the temporal constraint sets, is proposed for the
reduced single-cluster tool with the objective of minimizing the time
for completing a newly arriving wafer. The algorithm deals with thetwo-cluster tool situation while the three reduced single-cluster tools
are composed again. The procedures are repeated for each arriving
wafer. Simulation experiments indicate that the proposed algorithm iseffective and practical in scheduling two-cluster tools under time
constraints.

An Efficient Tabu Search Approach to Determine Cell
Formation Problem with Consideration of Cell Layout
Chia-Ching Lin1, Chin-Chih Chang2, Feng-Chia Li2
1
Yu Da University, Taiwan
2
Jen-Teh Junior College of Medicine, Nursing and Management, Taiwan

In this paper, a mathematical model is formulated to integrate cell
formation and cell layout simultaneously with considerations ofalternative process routings, operation sequences, production volume
and different cellular layout type. Due to the combinatorial nature ofcell formation problem and cell layout problem, an efficient tabu search(TS) approach has been proposed to address these issues. Several test
instances from the literature are employed to illustrate the effectivenessof the proposed solution algorithm. Computational experiences fromtest problems show that the proposed approach is extremely effective
and efficient. When compared with the mathematical programming
approach which took 34 hours to solve problems, the proposed
algorithm is able to produce optimal solutions in less than 1 second.
These comparisons show that the proposed approach is very effective,
efficient and practical.

Session
Date
Time
Room
Chairs

Quality Control & Management (2)Fri, 9 Dec
08:30 - 10:30
Venus II
Jianjun Wu, Zhang Wu

Optimization of Multiresponse Problems using Process
Capability Index for Batch Manufacturing Processes
Amirhossein Amiri1, Mahdi Bashiri1, Hamed Mogouie1
1Shahed University, IranIn this paper a new method in multi response experimental design is
proposed to determine the optimal settings for controllable factors,
where the responses are uncorrelated. This method leads to improving
the quality characteristic with the lower process capability index (PCI)
with more priority. Due to the application of this study in a batch
manufacturing and existing of some parts in each treatment, PCI has
been computed for each treatment for every initial response. Then an
aggregated index ( ci ) has been computed by TOPSIS based on thecalculated signal to noise ratios of PCI's. Finally the optimal
controllable factors have been determined by optimizing a fitted linear
regression to the aggregated index and values of controllable factors.
The proposed method is illustrated by a real case study in a plastic
molding factory. The results show the effectiveness of the proposed
method in improving the quality characteristic with the lowest cpk.

Implementation of Environmental Management in theAustrian Transport Sector – Do Manager’s Attitudes Matter?
Elmar Furst1, Peter Oberhofer11Institute of Transport and Logistics Management, Austria

Environmental management has become an important business topic
throughout the last decade. Road transport is, in this respect, still
regarded to be one of the main sources of greenhouse gas emission. In
this paper we discuss the implementation of environmental
management based on a survey of Austrian transport for hire or
reward companies or businesses in other fields regularly performing
own account transport and investigate the importance of managers’
attitudes.

Email Network Analysis for Leadership

Hisato Tashiro1, Antonio Lau1, Junichi Mori1, Nobuzumi Fujii2, Yuya
Kajikawa1
1
The University of Tokyo, Japan
2
Waseda University, Japan

Seventy two middle managers’ performance evaluation of a case global
TQM manufacturer were statistically compared with the email network
centralities. Betweenness and In-degree network centralities of the
middle managers are correlated with their leadership performance,
and, on the other hand, PageRank is a negative indicator of leadership.
Genuine leaders are trusted in their communities as a hub of
information channel of the communication network.

Process Capability Analysis for Non-normal Distribution
with Lower Specification Limit
Duygu Korkusuz1, Hendry Raharjo1, Bo Bergman1
1
Chalmers University of Technology, Sweden

Process capability analysis is an important element of any quality
improvement initiative. However, estimating process capability is often
problematic when it comes to non-normal distributions since theconventional methods sometimes give misleading results. In this paper,a new method for estimating process capability of non-normal
distribution with only lower specification limit is proposed. The
proposed method only considers the left tail of the distribution rather
than taking all of the data points. For estimating the process capability,
it employs least squares technique and normal approximation to theselected observations from the left tail. Here, the proposed method isonly tested on lognormal distribution. Simulations and real-world data
analysis are used for verification and validation purpose, respectively.
An easy and practical guideline is also developed.

Synthetic-np Chart for Attributes

Salah Haridy1, Zhang Wu1
1
Nanyang Technological University, Singapore

While the np chart is powerful for detecting large shifts in fraction
nonconforming p, the synthetic chart is more effective for detecting
small p shifts. In this article, the salient features of the np chart andsynthetic chart are hybridized to produce the Syn-np chart. The resultsof the performance studies indicate that the new Syn-np chartsignificantly outperforms the np chart and synthetic chart by 73% and31%, respectively, in terms of Average Number of Defectives (AND)across a wide range of p shifts under different circumstances.

Controlling Non-conformities Propagation in Manufacturing.
Case Study in an Electromechanical Assembly Plant
Valerie Fiegenwald1, Samuel Bassetto2, Michel Tollenaere1
1
Laboratoire GSCOP, France
2
Ecole Polytechnique de Montreal, Canada

The purpose of this paper is to control the propagation of
non-conformities. The control methods implemented to ensure thequality performance of a production system present weaknesses,
inherent to their constitution, which can let non-conformities
propagate along the value stream. This propagation cannot be avoided,
but it can be mastered. This paper presents a method to masternon-conformities propagation in a production system by building theassociated control chart. In order to calibrate the proposition, a casestudy on non-conformities propagation in a low-volumes industry in
the energy field is presented. The simulation of the proposed planshows the benefits of controlling this indicator.

TQM Organizational Development for a Global
Manufacturer

Kiyoshi Suzuki1, Hisato Tashiro2, Nobuzumi Fujii3, Masayoshi Ushikubo1,
Ichiro Sakata2
1
Sanden Corporation, Japan
2
The University of Tokyo, Japan
3
Waseda University, JapanThe essence of rapid growth of the global manufacturer is a series ofactions to accumulate daily effort of creative improvement, while
improving the quality of each management and each result, in order tobuild the company which prospers in the 21st century. In this paper, we
introduce a TQM organizational development plan of a global
manufacturing company. One of the authors won the Deming Prize for
Individuals in 2007 for his efforts in TQM globalization and has led theglobal organization to win quality awards, including the Award forWorld-Class Total Productive Maintenance Achievement, Japan
Quality Medal, and several Deming Application Prizes.

73Session
Date
Time
Room
Chairs

Quality Control & Management (3)Fri, 9 Dec
11:00 - 13:00
Venus II
Ayon Chakraborty, Mahdi Bashiri

Profile Monitoring for Poisson Responses

Amirhossein Amiri1, Mehdi Koosha1, Armaghan Azhdari2
1
Shahed University, Iran2
Payam Noor University, IranIn some real case problems, the relationship between a response
variable and one or more explanatory variables called as profile should
be monitored over time instead of the quality characteristic itself.
Profile monitoring is used in such instances. Many researches havebeen done in the area of profile monitoring but in most of them it isassumed that the response variable follows normal distribution. In
recent years Yeh et al. (2009) proposed 5 T2 based methods formonitoring logistic profiles in which response variable is binary. In thispaper we evaluate two of the best T2 methods for Poisson response
profiles monitoring in Phase I.

The Effect of an Additional Observation on Covariance
Structure
Maman Djauhari1
1
Universiti Teknologi Malaysia, Malaysia

We propose a statistic for measuring the effect of an additional
observation on covariance structure. Its exact distribution will bederived and for practical purpose a chi-square approximation will bepresented. An application in multivariate process variability
monitoring based on individual observations will be discussed. A
simulation study indicates that its performance in detecting the shift ofprocess variability is quite promising.

Effect of Seemingly Unrelated Regression-based ModelingApproach on Solution Quality for Correlated Multiple
Response Optimization Problems
Sasadhar Bera1, Goutam Barman1, Indrajit Mukherjee1
1
Indian Institute of Technology, India

Multiple response optimization remains a critical and importantresearch area in quality engineering and management. Various
methodologies have been proposed to resolve a correlated multiple
responses optimization problem. However, very few address theimportance of empirical response surface modeling and its influenceon the optimal solution quality. In this paper, two different approachesof empirical modeling, using multiple regression, viz. ordinary leastsquare (OLS), and seemingly unrelated regression (SUR) are selected
for study. To compare the approaches, two different metaheuristic
optimization strategies are used, viz. ant colony optimization in real
space (ACOR) and Honey Bee Optimization algorithm (HBO) for agiven case situation. Two different cases illustrate that SUR-based
response surface models provide significantly better solution than OLS
approach for correlated multiple response problems.

Heuristic and Metaheuristic Structure of Response Surface
Methodology in Process Optimization
Mahdi Bashiri1, Farshid Samaei1
1Shahed University, IranResponse surface methodology is a sequential process that the control
variables are optimized and used in experimental design. But
according to the characteristics of the method may be stopped at the
local optimal region. In this article two innovative methods to improve
RSM performance are presented. The proposed methods reduced thepossibility of stopping in the local optimal region and improved
performance of number of runs. These methods are based on checking
the convexity of response surface. For evaluation of the proposed
approaches, a simulated process has been analyzed. Numericalanalysis shows better performance of proposed approaches than thebasic response surface methodology.

74

The impact of Tolerance Limit on Cost of Quality

Mohamed K. Omar1, Sharmeeni Murugan2, Rohana Abdullah3
1
Nottingham University Malaysia, Malaysia
2
Multimedia University Melaka (MMU), Malaysia
3
Universiti Teknikal Malaysia Melaka, Malaysia

In this paper, the recommended extensions by Chiadamrong [1] wassuccessfully adopted and significant modifications was proposed when
computing costs of quality model in a manufacturing system In theliterature shows that there is strong connection exist between thetolerance designs with the quality characteristic of a product and thecost associate in achieving the specific quality of the product. With theintention of utilizing the reciprocal power model in determine therelation between the tolerance and the cost, the tolerance has to beconverted and set to a standard value at different confidence level. The
proposed costs of quality model was tested using real life data obtainfrom the industry and through simulation works, the results was
generated.

Decision-making in Process Design Based on Failure
Knowledge
Wei Dai1, Jun Yang1
1
Beihang University, China

Decision-making in process design is an indispensable stage in productdevelopment. A novel decision-making method is presented that draws
upon the failure knowledge of scenarios. An ontological expression of
failure scenarios is presented together with a framework of failure
knowledge network (FKN). According to the roles of Quality
characteristics (QCs) in failure processing, QCs are set into three
categories, which present the monitor targets, control targets andimprovement targets respectively for quality management. A
mathematical model and algorithms based on the Analytic Network
Process (ANP) is introduced for calculating the priority of QCs withrespect to different development scenarios. A case study on propeller
improvement is provided according to the proposed decision-making
procedure based on FKN. This methodology is applied in the propeller
design process to solve the problem of prioritizing QCs. This paper
provides a practical approach for decision-making in product quality.

Economic Process Control for Multivariate Quality
Characteristics with Hotelling's T-squared Charts underGamma Shock Model
Feng-Chia Li1, Peng-Kai Wang2, Li-Lon Yeh2, Sheng-Wen Hong2
1
Jen-Teh Junior College of Medicine, Nursing and Management, Taiwan
2
Hwa Hsia Institute of Technology, Taiwan

This study is an extension of research conducted by Rahim andBanerjee (Journal of Naval Research Logistics 40 (1993), pp.787-809) toconstruct an economic design approach of control chart for
simultaneously monitoring several quality characteristics under aGamma shock model with an increasing failure rate. Furthermore,measure the advantage of the Hotelling’s T2 control chart with avariable sampling interval (VSI) versus a fixed-length sampling interval(FSI) and a standard Shewhart sampling interval (SSI) under Gamma(λ, 2) shock models based on an economic aspect. This primarycontribution of this study is to find an optimal sampling interval to
improve the traditional Hotelling’s T2 control chart under a non-exponential failure mechanism detecting the small process shift fromconsidering the cost viewpoint. As a result in earlier investigations
most control chart economic designs assumed the occurrence time ofan assignable cause, which belongs to a random variable of exponential
distribution with constant hazard rates because of their administrative
simplicity. However, it may not be appropriate for some processes
which deteriorate over time. Hence, this study employs a numericalexample to indicate the solution procedure and to implement thesensitivity analysis while comparing the results of using various
sampling interval approaches.

Session
Date
Time
Room
ChairsReliability and Maintenance Engineering (1)Fri, 9 Dec
08:30 - 10:30
Jupiter I
Om Prakash Yadav, Jayantha Prasanna Liyanage

Integration of Maintenance Stategies for Improved Asset
Reliability and Availability
N. K. K. Prasanna1, Shakti Akula1, Tushar N. Desai2
1
Reliance Industries Ltd., India
2
National Institute of Technology, India

The simplicity and ruggedness of erstwhile ‘equipment sufficed
maintenance’ used to revolve around preventive and run-to-failure
methodology. With advancement in technology and arrival of complex
machinery, the operational and maintenance philosophies havechanged. Many maintenance management concepts, such as Reliability
Centered Maintenance (RCM), Total Productive Maintenance (TPM),
Total Quality Management (TQM) each having its own merits anddemerits, have emerged. This necessitates the development of an
integrated maintenance strategy which combines the available
methodologies to arrive at the right combination which will give
maximum returns in the form of increased safety, reliability &availability at optimum cost. This paper deals with the integration ofvarious maintenance methodologies to arrive at an integrated
maintenance strategy with a case study of a vertical integrally gearedhigh speed pump.

Increasing Availability of Production Systems in Robust
Layouts via Assignment of Maintenance Resources
Majid Bazrafshan1, Shahrzad Nikghadam1, Shaomin Wu2
1
University of Tabriz, Iran2
Cranfield University, United Kingdom

The trend toward increased maximum machine utilization has forced
the managers to pay more attention to maintain the equipments. The
subject of maintenance managements is to implement reliable/available
systems. Regarding the cost effects of Work-in-Processes (WiP),
manufacturers try to reduce/remove them from their production
systems. Robust layout is a noble well-known layout for manufacturingsystems that reduced amount of work-in-process is one of its
characteristics. Since a failure can idle an entire production system,
WiPs has been proven to highly affect the effectiveness of maintenancesystems. Due to the reduced amount of WiP's, structure of maintenancesystem should be taken into account for keeping machines andequipments in an available state. The effectiveness of maintenancesystem on increasing availability can be improved via allocation of
spare parts and other maintenance resources required for the service offacilities. Given this, a new maintenance assignment model ispresented for a robust layout.

Reuse Oriented Group Maintenance Scheduling Based onHybrid Genetic Algorithm and Tabu Search
Jihong Yan1, Dingguo Hua1, Zimo Wang1
1
Harbin Institute of Technology, China

Reuse of facilities can bring manufacturers not only less investment but
also green images, whereas it requires much maintenance to guarantee
the reusability of facilities, which could lead to higher maintenancecost and more production lost. In this paper, a preventive maintenancescheduling method for complex series-parallel system is proposed
under group maintenance policy utilizing intelligent algorithms.
Hybrid Genetic Algorithm (HGA) and Tabu Search (TS) are employed
and compared in terms of time complexity and effectiveness. A casestudy is then presented. It is verified that group maintenance policy
can enhance the reuse of facilities as well as reduce maintenance costand production lost in the long run. In addition, it can be concluded
that HGA is more effective but more time consuming compared withTS.

State Space Model Based Reliability and Sensitivity
Analysis for Multistage Manufacturing Process

Faping Zhang1, Aiqing Chen2, Hong Jing3, Yan Yan1, Hanbo Qian4
1
Beijing Institute of Technology, China
2
Jiaozuo Normal College, China
3
Shanxi Diesel Engine Co. Ltd, China
4Center of Coordination & Support of Costind, China

Quality is an important aspect of any manufacturing process. The
stability of process is definitely one of the most important aspects toinsure the quality of the machined part stably. Now it is still achallenge to put forward a useful model to deal with manufacturing
process stability mathematically. This paper deals with the issue by thenotion of manufacturing process reliability and its sensitivity. Based onstate space model, process performance function which is used todescribe the relations between key product characters (KPC) and key
control characters (KCC) during machining process has been
conducted. Furthermore, measurement index to process reliability is
put forward, which leads the ways to calculate the process reliability
mathematically. To determine the weakness during machining process,process reliability sensitivity has been put forward and thecorresponding ways how to get its magnitude. Finally, A simple 2-D
case study has been used to support and validate the proposed model.
It shows that this way can calculate the process reliability effectively.

Software Reliability Modelling and Optimization for
Multi-release Software Development Processes
Qingpei Hu1, P. Rui2, Min Xie2, S.H. Ng2, Gregory Levitin3
1
Chinese Academy of Sciences, China
2
National University of Singapore, Singapore
3
The Israel Electric Corporation Ltd., Israel

During the lifespan of large software systems, iterative development
procedure is commonly adopted with continuously incremental
software versions released to the market. When to release each version
plays an important role for balancing the competition in market andthe risk of low-quality software. Without the loss of generality, aspecific iterative software development scenario is considered, where asoftware development team develops, tests and releases software
version by version. A modeling framework is proposed to study the
expected number of remaining faults in each version. Cost model isthen proposed, and cost oriented optimal release time analysis for n
versions is studied. A numerical example is given for the illustrative
purpose.

Multi Up-gradation Software Reliability Growth Model with
Faults of Different Severity

Amir Hossein Soleiman Garmabaki1, Anu.G Aggarwal2, Pramod Kumar
Kapur2
1
Islamic Azad University, Iran
2
University of Delhi, India

In today's environment of global competition where each company istrying to prove itself better than its competitors, software company
have to continually do up-gradation or add-ons in their software to
survive in the market. Each succeeding up-gradation offers someinnovative performance enhancement or some new functionality etc
distinguishing itself from the past release. But at the same time theamount of risk involved in up-gradation/add-ons of software withregard to introducing new faults or increasing the fault number in thesoftware is also formidable. This model categorizes faults in two types:
Type-1 and Type-2(simple fault, hard fault namely) with respect totime which they take for isolation and removal after their observation.
In this paper, we propose new model and new concept of multi releasesoftware development environment. The model developed is validated
on real data sets for software which has been released in the market
with new features.

Performance-based Burn-in for Products Sold with Warranty
Zhisheng Ye1, Loon Ching Tang1, Min Xie1
1
National University of Singapore, Singapore

To protect users from early failures, manufacturers often use burn-in toscreen out weak units are meanwhile provide warranty to customers.
Some performance-based burn-in models have been proposed in theliterature. However, relations between these indices are not clear. In
this study, we look into this problem and reveal the internal relations
between these indices. More specifically, we focus on the probability of
failure within the warranty period, mean number of failures within thewarranty period and the percentile residual life that maximize thewarranty period given a specified proportion of field failure. It is foundthat there are some dual relations between these indices. An illustrative
example is used to demonstrate our results.

System Dynamics Simulation for Constructing MaintenanceManagement of Ship Machinery
Dhimas Handani1, Kenji Ishida1, Shintaro Nishimura1, Surya Hariyanto1
1
Kobe University, Japan

Operation of a safe ship relies on the success of occupied operating
system. This paper shows a model of reliability analysis in System
Dynamics (SD) simulation in order to recognize potential failure andprevent functional failure of maintainable items of ship machinerycomponents. The simulated machinery component is the pump which
is operated in cooling system of main engine, lubricating oil systemand fuel oil system. Output of simulation is probability andconsequence of failure for risk prioritization of maintainable items.
This model realized that each component has a substantial influence on
overall system reliability. Risk prioritization subsequently is importantfor maintenance management to obtain reliable ship operation. Total
cost, which is comprised of operation cost, maintenance cost andpenalty cost, is minimized. The proposed model reduces total pump
operation cost by forecasting reliability index (RI) of maintainable
items in its operation time so penalty cost can be avoided.

75

Session
Date
Time
Room
ChairsReliability and Maintenance Engineering (2)Fri, 9 Dec
11:00 - 13:00
Jupiter I
Faping Zhang, Qingpei Hu

Reliability of Surveillance Mission with Unmanned Aerial
VehiclesKien Ming Ng1, Jun Jiang1, Rui Peng1, Kim Leng Poh1, Kwong Meng Teo1
1
National University of Singapore, Singapore

This paper has modeled the reliability of surveillance mission withunmanned aerial vehicles (UAVs). In order to surveil a number oftargets, some UAVs can be assigned to visit the targets. It is assumed
that if a UAV is shot down during the mission all the targets assigned
to the UAV cannot be surveilled. The mission is regarded as successful
if all the targets are assigned and successfully surveilled. An
optimization framework is presented to solve the UAV routing planwith the consideration of mission reliability.

Reliability-based Robust Design Optimization: A
Comparative Study

Vijay Rathod1, Om Prakash Yadav2, Ajay Pal Singh Rathore1, Rakesh Jain1
1
Malaviya National Institute of Technology, India
2
North Dakota State University, United States

Reliability-based robust design optimization (RBRDO) is one of themost essential tools developed in recent years to improve the quality
and reliability of the products at an early design stage. This paper
presents a comparative study of different formulation approaches of
RBRDO models and their performances. The paper also proposes an
evolutionary multi-objective genetic algorithm (MOGA) to one of thepromising hybrid quality loss functions (HQLF)-based RBRDO model.
The enhanced effectiveness of the RBRDO model is demonstrated by
optimizing suitable example.

Exploring Impacts of Single Failure Propagation between
SCADA and SUC
Cen Nan1, Irene Eusgeld1
1
ETH Zurich, Switzerland

Critical infrastructures (CI) deserve increased attention as our societies
simply rely on most of their goods and services they are expected tocontinuously supply. The study of the interdependencies within andamong CI is an emerging research field since modern CI are becoming
increasingly vital as well as automated and interlinked in complex
ways to maintain their daily operations. A failure within any CI or evenloss of its continuous service may be damaging enough to society andeconomy while cascading failures across boundaries have the potential
for multi-infrastructural collapse with unprecedented negative
consequences. In this paper, the interdependencies between Industrial
Control Systems (ICS), in particular SCADA (Supervisory Control andData Acquisition), and the underlying System Under Control (SUC) are
explored and studied using advanced model/simulation techniques. A
single failure propagation experiment that analyzes a typicalsubstation of the Electricity Power Supply System (EPSS), comprising
components from both SUC and SCADA is developed to visualize thepropagation of cascading events across boundaries and evaluate
negative impacts on the service availability of the system due tointerdependencies related problems.

Human Factor in Maintenance Performance Measurement

Diego Galar1, Christer Stenstrom1, Aditya Parida1, Rupesh Kumar1, Luis
Berges2
1
Lulea University of Technology, Sweden
2
University of Zaragoza, Spain

The maintenance performance measurement is often faced with a lackin knowledge about the real function of the maintenance department
within organizations, and consequently the absence of appropriate
targets emanating from the global mission and vision. These facts bringabout metrics not adapted to the real needs, which has a strong load ofhuman factor and without a roadmap of the amount of data to becollected, their processing and use in decision making.
This article proposes a model where qualitative and quantitative
methods are combined in order to complement advantages anddisadvantages of them both.

76

A Maintenance Service Contract for A Warranted ProductHennie Husniah1, Udjianna S. Pasaribu2, Abdul Hakim Halim2, Bermawi
Iskandar2
1
Bandung Institute of Technology, Langlangbuana University, Indonesia
2
Bandung Institute of Technology, Indonesia

In this paper, we investigate a maintenance service contract for awarranted product carried out by the Original Equipment
Manufacturer (OEM). The model was developed under the assumptionthat there are one consumer and one service provider who is the OEM.
This is typically applied to the situation where the OEM is the only
service provider such as in the mining industry. From the OEM pointof view, two contract options were considered, they are: the OEM
carried out all repairs and preventive maintenance activities; the OEM
carries out failure and the customer undertakes in house preventive
maintenance actions. The model uses a non-cooperative gameformulation by maximizing expected profits. We use a linear functionof failure intensity to consider a product with increasing failure
intensity. We obtain the pricing structure in the contract. And for thecustomer, they can choose the optimal option under the term ofcontract.

Expert-Based FMEA of Wind Turbine System

Milton Kumar Das1, Subhash Chandra Panja2, Sunetra Chowdhury3,
Shyamapada Chowdhury3, Andreas I Elombo4
1
Indian Maritime University, India
2
Jadavpur University, India
3
University of Cape Town, South Africa
4
University of Stellenbosch, South Africa

This paper presents the results of a Failure mode and effects analysis(FMEA) conducted for wind turbine (WT) systems. The FMEA was
performed on the functional modes of WT sub-systems in order tounderstand its performance of each sub-system, and to identify
weaknesses in the respective sub-systems of WT considered. Sensitivity
analysis had been done to investigate the cross-spreading of
unreliability between sub-systems in the WT and a ranking of criticalsubassemblies was prepared on the basis of data supplied by expertsthat took part in the study. Overall, it was observed that crowbar
protection and gearbox were found to be the two most criticalcomponents of WT given a reference to the Risk Priority Number (RPN)
value of 200. Also, some design and improvement of these components
could be envisaged to help improve the performance of the entire WT
system by means of reducing the number of failures.

Condition-based Maintenance for Systems Under
Dependent Competing Failures
Liangpen Chen1, Zhisheng Ye1, Boray Huang1
1
National University of Singapore, Singapore

Failures of complex systems may be various types. Natural failure due
to degradation is one main mechanism. Other factors such as traumatic
failure caused by random shocks from external environment are also
critical to systems’ operation. This paper proposes a new model tostudy complex systems that experience both degradation and shocks
which are dependent. System reliability is analyzed and maintenanceactions including periodic inspection, preventive maintenance andreplacement are adopted to minimize the long-run maintenance costrate. Sensitivity analysis is also included.

Session
Date
Time
Room
ChairsTechnology and Knowledge Management (3)Fri, 9 Dec
08:30 - 10:30
Jupiter II
Ichiro Sakata, Chin Yuan Fan

A Model for Linking Knowledge Management Strategies,
Critical Success Factors, Knowledge Management Practices
and Organizational Performance; the case of Iranian
Universities
Afarin Akhavan1, Mohammad Saleh Owlia1, Mostafa Jafari2, Yahya Zare1
1
Yazd University, Iran
2
Iran University of Science & Technology, IranThis paper tries to present a conceptual model for studying theinfluence of knowledge management strategies on the performance ofuniversities and institutions of higher education. Because of lack ofknowledge management specific model in higher education, theproposed models for non educational environments have been used as
guides to present a new model that considers knowledge management
dimensions. Different strategies, critical success factors, knowledge
management practices and performance indicators discussed inpublications refer to higher education, were searched and these
indicators connected with knowledge management were studied indifferent aspects. In this paper first recognize, analyze and classify theaffective factors on the relationship between knowledge management
strategies, organizational performance and knowledge management
practices in universities and then a model to investigate the influenceof different KM strategies on universities and institutes of higher
education institutes.

Identifying Mapping Relationships between Functions andTechnologies: an Approach based on Association Rule
Mining
Linda Zhang1, Roger Jiao2
1
IESEG School of Management, France
2
Georgia Institute of Technology, United States

On one hand, design technologies provide solution principles todeliver product functions; on the other hand, they play a major role inachieving efficiency and effectiveness in product design andproduction. Recognizing this importance of technologies in productdevelopment and in response to the lack of investigation, this study
proposes an approach based on association rule mining to identify
mapping relationships between functions and technologies. Such
mapping relationships not only help firms effectively decide ontechnologies and the corresponding details but also enable them toreuse proven knowledge about functions and technologies. A casestudy of microlithography machines is reported to demonstrate how
the proposed approach identifies mapping relationships from givenfunction and technology data and how these relationships help selecttechnologies and determine details.

Ranking of Technology Transfer Barriers in Developing
Countries; Case Study of Iran's Biotechnology Industry
Khashayar Yazdani1, Kourosh Yazdani Rashvanlouei2, K. Ismail1
1
University Technology Malaysia, Malaysia
2
Sharif University of Technology, IranIn this paper, first we shall define a list of technology transfer barriersin the biotechnology field through interviews and literature reviews.
Next, we shall categorize them into four major categories of technology,
and at last introduce all of the hypotheses on the existence ofrelationship between each part of technology and failure in thetechnology transfer process. Questionnaires consisting of two parts
were created and handed out to all of the specialists and biotechnology
idea-holders in the Iranian National Research center of Biotechnology,
Lidco Co, Iran Pastor Institute, Biotechnology Department of
University of Tehran, etc. Going on, we've evaluated the factors'
validity through statistical tests and the recognized barriers' priorities
in each category, which were generally, identified by Analytical
Hierarchy Process (AHP) via the software Expert Choice. Thesepriorities describe the high importance of organization-ware (34.1%),
information-ware (27%), technique-ware (20.7%) and eventuallyhuman-ware (18.1%) respectively.

Managing Supply Chain Knowledge in the New ProductDevelopment Process: a Social Network Analysis Approach

Marianna Marra1, William Ho1, John S. Edwards1
1Aston University, United Kingdom
The aim of this paper is to propose a conceptual framework forstudying the knowledge transfer problem within the supply chain. The
social network analysis (SNA) is presented as a useful tool to study
knowledge networks within supply chain, to visualize knowledge
flows and to identify the accumulating knowledge nodes of the
networks.

An Ontological Approach for Program Management Lessons
Learned: Case Study at Motorola Penang Design Centre
Yu-N Cheah1, Soo Beng Khoh2, Ghee Beng Ooi2
1
Universiti Sains Malaysia, Malaysia
2Motorola Technology Sdn. Bhd, Malaysia

The Program Management Lessons Learned process helps
organizations learn from past experiences and prevent similar mistakes
in future projects. Current methods of capturing lessons learned
through loosely defined questions and free flow templates often lead to
unstructured documentations and information gathering. These
drawbacks hamper efforts to retrieve and reuse meaningful and useful
lessons learned information. This paper presents a newly developed
ontological approach in the form of a template for capturing lessons
learned in new electronic products design projects. The developed
template embodies a source-impact-action (SIA) triple that categorizes
knowledge in key learning and knowledge areas. A case study using
the structured SIA-based template was successfully piloted at Motorola
Penang Design Centre. Results of the SIA triple and its associatedbenefits shall be presented.

Optimization of a Knowledge-based System by aMeta-heuristic Approach for the Automotive Diagnosis
Armin Azarian1, Ali Siadat1, Patrick Martin1
1
Arts et Metiers ParisTech, France

Nowadays, one of the current challenges in the automotive industry is
to establish a precise and accurate diagnosis in the after-sales
workshops within a reasonable time in order to minimize theinconvenience for customers of the maintenance operations. The
automotive industry had developed more and more electronic systems
to enhance safety and comfort equipment, which lead to time
consuming diagnosis sessions with traditional computer assisted
diagnosis systems mostly relying on expert rules. Therefore, thediagnostic algorithm of such diagnosis systems needs to be improved.
In this paper, the authors report their experience of the enhancement ofa knowledge-based system to optimize the diagnosis on the basis of ameta-heuristic approach. The experimental platform used for theexperimentations is the car diagnostic station SIDIS Enterprisedeveloped by Siemens AG. Based on the integration of an appropriate
strategy, the convergence to the faulty component is calculated withaccuracy, as well as the lifetime, tests costs, suspicion rules and causal
relations. The authors analyzed this methodology for different valuesof the weight parameters and report the results on a case-based
consideration in the automotive domain.

Defining Technology EntrepreneurshipMarkus Spiegel1, Christian Marxt1
1
University of Liechtenstein, LiechtensteinOver the last years Technology Entrepreneurship has developed as a
distinct stream of research at the nexus of Entrepreneurship and theManagement of Technology and Innovation. Yet, despite several special
issues and an increased level of interest, no comprehensive definitionof the field has been developed so far. This paper attempts to be astarting point for this discussion by deriving a framework based onelements identified in a review of the articles in the special issues. It
structures Technology Entrepreneurship along the entrepreneurial
process into a formation, exploitation and renewal phase and applies
different levels of investigation at the product, firm and at the systems
level.

Towards the Integration of Technological, Organizationaland Human Subsystems of Organizations to Enhance
Productivity
Mohammed Aminu Sanda1, Jan Johansson1
1
Lulea University of Technology, Sweden

This paper looks at the challenges that most organizations, especiallyin the mining industry, face in managing both technological andhuman activities along their value chains. The aim was to understandhow the organization’s technological, organizational and human
components could be integrated to enhance collaboration andproductive efficiency. Guided by an organizational activity theory
framework, qualitative data were collected through interviews in amining firm. The analysis of contradictions showed that production
work in the mine is challenged due to the lack of proper coordinationin task executions, with workers constrained in their task undertakings
and unable to reduce downtime. It was concluded that firms can use
the framework as an effective instrument, not only for organizational
activity and work environment analyses, but as a tool for learning how
to understand and manage the systemic characteristics of thetechnological, organizational and human components of theirorganizational activity systems.

77Session
Date
Time
Room
ChairsTechnology and Knowledge Management (4)Fri, 9 Dec
11:00 - 13:00
Jupiter II
Chui Young Yoon, Chien-Liang Kuo

Identification and Classification of Human Error in Process
Model Development

Alexander Nielen1, Denise Kolter1, Susanne Mutze-Niewohner1, Christopher
M. Schlick1
1
RWTH Aachen University, Germany

Process models capture important corporate know-how for an effective
knowledge management (KM). However, many process models do notmatch with corporate reality and therefore cannot serve the intended
purpose. Human Error is a major source for these inconsistencies thatmight hinder process implementation and maintenance as well as
continuous improvement efforts. The approach presented in this paper
accounts for a more active participation of employees in order tofurther increase the economical benefit of KM. To this purpose, ahuman error analysis in process modeling was conducted. The results
derived from data of 64 subjects show that errors of omission anderroneous execution on an activity level are considerably higher for
novices than for subjects with theoretical knowledge and experienced
modelers. However, it can be concluded that even for experienced
modelers complex modeling scenarios are prone to reasoning fallacies
and thus represent a possible source for model inconsistencies incorporate practice.

Technological Capability Building in Network
Environments: the Moderating Effects of Governance
Structure
Suli Zheng1, Zengyuan Wu1
1
China Jiliang University, China

To explain the origins of technological capabilities, we elaborate atheoretical framework by integrating the resource-based view andnetwork view. We argue that network can provide firms network
resources which greatly advance the formation of technologicalcapabilities. Of these resources, two different mechanisms can be
identified considering different governance structures. Hypothesis
based on these ideas are tested on a sample of 208 manufacturing firms
engaging in global production networks. Results from hierarchicalregression greatly support the role of network resources andgovernance structure.

Open Innovation in Chinese High-tech Enterprises: An
Empirical Research Based on Zhejiang Province
Fang Liu1, Gang Zheng1
1
Zhejiang University, China

Based on data from 2010 Zhejiang Provincial Assessment Program for
Research and Development Centers of High-tech Enterprises, thispaper analyzes the state of open innovation in these enterprises fromthree dimensions, i.e., university-enterprise cooperation, the number ofexternal R&D institutions, and outward technology transfer income.
Then, this paper evaluates innovation performance of these high-techenterprises based on authorized invention patents, standards and therate of new product sales. In addition, we have a further analysis ofproblems in the process of conducting open innovation for them. This
study finds that open innovation pattern in Zhejiang high-techenterprises is still in its initial stage, and their awareness and capabilityof outward technology transfer is still weak. This study will enrich theknowledge of open innovation in the empirical context of Chinese
high-tech enterprises and deepen our understandings of open
innovation theory.

The Paradoxical Property of Knowledge in Organizations
J. Ajith Kumar1
1
T. A. PAI Management Institute, India

A dominant view in knowledge management (KM) over the last two
decades has been that knowledge in the organization is a highly
beneficial resource. Complex in nature, this resource is difficult toimitate and thus, gives an organization strategic advantage. In thispaper I discuss that knowledge that helps an organization attain
success can also drive its failure by inducing a sense of inertia in theface of environmental change and biasing decisions towards thosetaken in the past. This paradoxical property of knowledge, thoughhinted at in various literatures, has not been discussed in much detail.
Using the story of Indian automaker Hindustan Motors Limited, andits well-known car model, the Ambassador, I attempt to highlight thisproperty of knowledge. I argue that the paradox makes inquiry into
management of knowledge problematic, and call for further researchon the phenomenon.

78

Technology Manager's Radar Screen: Monitoring
Competitors' Innovation Performance

Chung-Huei Kuan1, Huei-Ru Dong1, Mu-Hsuan Huang1, Dar-Zen Chen1
1
National Taiwan University, Taiwan

To capture a competitor's innovation performance, both in terms of its
productivity and impact, we propose to characterize its patentportfolio, including both cited and un-cited patents, by a pair of
numbers. This pair of numbers, one related to the productivity and theother to the impact of the competitor, is obtained from the centroid of aso-called h-complement area of the citation distribution of thecompetitor's portfolio. As such, a large number of competitors'
innovation performance embodied in their portfolios can be
simultaneously captured and panoramically observed in a
two-dimensional coordinate system. In addition to its simplicity andeffectiveness, this approach provides us significant insight into where
performance difference among these competitors lies, and allows us totrack their performance evolution over time.

The Impact of Absorptive Capacity on the Ex-Post Adoptionof Agile Methods: The Case of Extreme Programming Model
Bouchaib Bahli1, Younes Benslimanne2, Zijiang Yang2
1
ESC-Rennes School of Business, France
2
York University, Canada

Agile development methods have emerged to overcome some of theprocess and product-related problems associated with traditionalmodels. They are believed to be lightweight, people focused, adaptive
and allow better information systems development (ISD) performance.
Nevertheless, they require a significant capacity of absorbing new setof skills, knowledge and mindset changing. When using agile methods
IS developers are faced with a challenge to quickly assimilate themindset of these new methods and develop the ability to recognize
information and apply it in context. This paper reports on two ex-post
ISD project implementation. We integrate a central construct in the
dynamic capability theory - absorptive capacity to explain agile
method adoption and usage. The findings show that absorptive
capacity, indeed, plays an important role in adopting and using agile
method-Extreme Programming model. The implications of thesefindings for both researchers and practitioners are discussed.

Technology, Quality and Trade in the Apple Industry
Kayla Lopuch1, Laura Syrett1, John Conrad1, Harm-Jan Steenhuis1
1
Eastern Washington University, United States

This study explores the competitive nature of the global apple industry
and its many intricacies. The apple industry is important to many
countries around the world. Four of the major apple producing
countries are the United States, China, Chile and New Zealand. In thisstudy, these four countries are compared in the areas of technology,
quality sustainability and the number of imported apples. Moreover,the purpose of the study is to explore the relationships between thelevel of storage technology and quality, and the relationship of apple
importing and the quality of apples produced.

Session
Date
Time
Room
ChairsSystems Modeling and Simulation (1)Fri, 9 Dec
08:30 - 10:30
Jupiter III
Ville Ojanen, Maria Grazia Gnoni

A Robust-Gain-Scheduled Methodology for Process
Parameter Design and Control with Application to a
Carbonated Beverage Filling Process
Abdul-Wahid A. Saif1, Muneeb A. Akram1
1
King Fahd University of Petroleum & Minerals, Saudi Arabia

Proper selection of control parameters is critically important since it
has a large impact on the end product and enables keeping theoperation run within the specified limits. It also helps to maximize
profitability, to ensure quality and safety. In this paper, we will develop
a Robust Gain-Scheduled (RGS) methodology that combines between
the uses of: robust design to determine the optimal value of processparameters so that the controller maintains the process on target withlow variability while keeping the performance robust against theexternal factors, and gain scheduling to modify the control parameters
depending on the state of the system to maintain its stability. An
example for carbonated beverage filling process is also presented.

Design and Modeling of Roll-to-Roll Manufacturing System
Using Simulation Techniques
Laura Xiao Xia Xu1, Chin Wei Gan1, Feng Yu Wang1, Ma Bin1, Roland Lim1
1
Singapore Institute of Manufacturing Technology, Singapore

Roll-to-Roll (R2R) processing is a complex production system which
involves discrete and continuous processes. Raw materials, in the formof rolls of functional film, go through their own unique routes ofdifferent process machines. This complexity makes it difficult toestimate and measure production performances and how well theperformances will be a vital factor to determine the adoption of the
new technology for a company. In this paper, these hybrid complex
processes have been designed, modeled and simulated to obtain moreaccurate production performance data using simulation technique. Our
simulation model is able to take parameters' inputs by the user (forexample, machine speeds, order types, labor quantity, etc.), and give
pertinent output data (for example, resource utilizations, order leadtimes, production throughputs, etc.) in a matter of minutes. This tool
can also help to improve the R2R system performance by identifying
optimal solutions through comparative analysis.

Design of Comminution Circuits for Improved Productivity
Using a Multi-Objective Evolutionary Algorithm (MOEA)
Samson Mhlanga1, Jabulani Ndlovu2, Charles Mbohwa1, Michael Mutingi3
1
University of Johannesburg, South Africa
2National University of Science and Technology, Zimbabwe
3
National University of Singapore, Singapore

The performance of a processing plant has a large impact on the
profitability of a mining operation, yet plant design optimisation
decisions are based on past experience and intuition rather than on
scientific analysis. Genetic algorithms as a tool for circuit analysis inplant design and optimisation was considered. The multi-objective
evolutionary algorithm initialises the plant design and optimisation
based on experimental results, which are used to formulate anddetermine the objective function values. A simulation was conducted toassess the performance of candidate solutions. The two optima are thentraded-off using cost objective, which is sought to be minimized. Oncean optimum was selected, the circuit mass balance and equipment
design was performed, bringing the theory of network design andgenetic algorithms into unison. Results of the study provide financial
benefits, optimal parameter settings for the comminution equipment
and ultimately better plant performance.

Systems Thinking for Modeling Risk Propagation in Supply
Networks
Abhijeet Ghadge1, Samir Dani1, Roy Kalawsky1
1
Loughborough University, United Kingdom

Large scale systems like supply chains are growing more global andcomplex. Quantifying supply chain risks is challenging due to theiruncertain nature. Understanding of the risk propagation is expected toprovide new directions for effective supply chain risk management.
Using systems thinking approach for modeling risk propagation in
supply chain, we have developed a conceptual understanding of risk
propagation levels and dimensions. A case study of the Japanese
tsunami (2011) has been analyzed and presented in a
multi-dimensional perspective to validate the conceptual developmentof risk propagation. Key supply chain risks and their approximate risk
propagation durations are identified for a typical natural disaster
disrupting global supply chain network. Case study has validated theclassification of risks based on their propagation zones in supply
network.

A UML Approach for the Design of Reconfigurable
Manufacturing Simulation Models
Hossam S. Ismail1, Voon S. Tey1, Lina Wang1, Jenny Poolton1
1
The University of Liverpool, United Kingdom

This paper proposes an approach for the design of discrete event
simulation models of large scale and complex manufacturing systems
based on a UML representation of modular manufacturing entities andrelationships. The approach simplifies the process of creating new
manufacturing scenarios where by essential shop floor systemparameters and logic can be modified frequently without in depth
knowledge of simulation language. The use of object oriented design
approach improves the clarity and the ease by which the
manufacturing system is described and modified for the purpose ofsimulation. The paper provides an example of how this approach isused to verify the designs of a new assembly and packaging line.

Bayesian Calibration of Stochastic Computer Models
Jun Yuan1, S.H. Ng1
1
National University of Singapore, Singapore

Computer models are widely used to simulate real processes. Within
the computer model, there always exist some parameters which areunobservable in the real process but need to be specified in thecomputer model. The procedure to adjust these unknown parametersin order to fit the model to observed data and improve its predictive
capability is known as calibration. In traditional calibration, once theoptimal calibration parameter set is obtained, it is treated as known for
future prediction. Calibration parameter uncertainty introduced fromestimation is not accounted for. We will present a Bayesian calibration
approach for stochastic computer models. We account for these
additional uncertainties and derive the predictive distribution for thereal process. Two numerical examples are used to illustrate theaccuracy of the proposed method.

Wafer Lot Release Policies Based on the Continuous andPeriodic Review of WIP Levels
Khaled S. El-Kilany1
1
Arab Academy for Science, Technology, and Maritime Transport, Egypt

This paper evaluates the impact of different lot release policies on theperformance of semiconductor wafer fabrication facilities (wafer fabs).
Lot release policies presented in this work are based on continuous
review and periodic review inventory control policies. Proposed
policies can be considered as modifications to the well known
CONstant Work-In-Process (CONWIP) method. Simulation of the Intel
Mini-Fab model is used to compare the performance of the fab using
the CONWIP method to using these proposed policies. Additionally,
two different dispatching rules are used at the bottleneck station toevaluate its impact on the fab performance when combined with therelease policies. Performance is measured using an overall efficiency
measure to represent the changes that occur in both cycle time andthroughput rate. The work shows that periodic WIP review can
improve the performance of the fab; while, continuous WIP review will
have the same effect of the CONWIP method.

A Framework for Solving the Optimal Display Quantities
with Equality Constraint
Takuya Suganuma1, Hiroyuki Goto2
1
Nagaoka University of Technology, Japan
2
Hosei University, Japan

This paper proposes a framework for determining optimal display
quantities in shelf space for SPA (Specialty store retailer of Private label
Apparel) retailers. In a field of inventory control in terms of
optimization, a considerable number of previous researches focus oncases where there is a gap between the original demand and available
shelf space. In this paper, we mainly consider a case where the gap is
not great and examine the behavior of optimal solution for display
quantities. In the formulation, we organize a multi-item newsvendor
problem with an equality constraint for shelf space. By solving thisproblem, an analytical solution for optimal display quantities can beobtained, which would provide useful guidelines for practitioners.

79Session
Date
Time
Room
ChairsSystems Modeling and Simulation (2)Fri, 9 Dec
11:00 - 13:00
Jupiter III
Arun Kumar, Carman Lee

Principles for Modelling Business Processes
Antonie van Rensburg1
1
University of Pretoria, South Africa

Any industrial engineer designing business processes can testify to theresults of projects that went wrong because the initial process
requirements were not correctly understood, formulated, orcommunicated throughout the design process. This paper identifies
and defines fundamental systems thinking principles that should bepresent in a business process design methodology. The research isbased on the understanding that complex business processes areformed from organized business patterns, and that the appropriate
systems thinking principles enable the industrial engineer to capture
these patterns and design business processes to reflect real world
behaviour. Doing so enables the formulation of a well structured
business process design specification.

Resolution of Resource Conflict in a Max-Plus Linear
Representation -Case of a Single ProjectShotaro Yoshida1, Hirotaka Takahashi2, Hiroyuki Goto3
1
Nagaoka University of Technology, Japan
2
Yamanashi Eiwa College, Japan
3
Hosei University, Japan

This research proposes a method for resolving resource conflicts inscheduling problems of a class of discrete event systems. We focus on
the framework of resolving resource conflicts in the Critical Chain
Project Management (CCPM), which is expressed in the form of
Max-Plus Linear (MPL) system. The proposed method can detect
resource conflict by checking if time-lines and workers of the internal
processes overlap. If a resource conflict is detected, the process withlow priority is moved up. For moving up the schedule, we define a
new adjacency matrix, by which the resource conflict can be resolved.

A Queuing System with Risk-Averse Customers: Sensitivity
Analysis of Performance
Carlos Arturo Delgado1, Ann van Ackere1, Erik Larsen2
1
University of Lausanne, Switzerland
2
University of Lugano, Switzerland

In this paper, we incorporate decision rules based on adaptive
behaviour in order to analyze the impact of customers' decisions onqueue formation. We deviate from most of the literature in that wemodel dynamic queuing systems with deterministic and endogenous
arrivals. We apply a one-dimensional cellular automata in order tomodel the research problem. We describe a self organizing queuingsystem with local interaction and locally rational customers. They
decide which facility to use considering both their expected sojourntime and their uncertainty regarding these expectations. These
measures are updated each period applying adaptive expectations andusing customers' experience and that of their local neighbours. This
paper illustrates how the average sojourn time of customers in thesystem depends on their characteristics. These characteristics define
how risk-averse customers are as well as how conservative they are
regarding new information.

Balancing Multi-robot Prioritized Task Allocation: aSimulation Approach
M. Elango1, S.P. Nachiappan1
1
Thiagarajar College of Engineering, India

Multi robot task allocation is a fundamental problem in robotics.
Mostly multi robot task allocation (MRTA) problems concentrate on
the minimization of the total distance travelled by the robots (Robotcentered). Due attention is required for task centered allocation (taskpriority). A lot of real life application such as robotic search and rescue
missions, environmental or hazardous clean-up missions emphasizes
the priority of task allocation and balancing the utilization of robots.
This paper develops a simulation model involving task priority and theutilization of robots and refers to it as a Balance multi-robot prioritizedtask allocation (BMRPTA) problem. The performance of the model isevaluated based on the minimum average waiting time and thecompletion time objective which ensures there would be a reasonable
path balancing between the robots. Analysis has been carried out tostudy the effect of task priority on robot utilization.

80

Modeling Patient Visits to Accident and Emergency
Department in Hong Kong
M. Xu1, T. C. Wong1, K. S. Chin1, S. Y. Wong1, K. L. Tsui1
1
City University of Hong Kong, China

Simulation emerges as an important technique in recent years formodeling complex operational dynamics in various healthcare
institutions and hence providing deep insights for potential
improvement. In particular, Accident and Emergency Department(A&ED) has been a place for such research as it accounts for a large
proportion of the total hospital visits and admissions. To create a viable
simulation for A&ED, accurate description and forecast of patient visits
is the foremost step. This paper investigates several contributing
factors to A&ED visits, and various time-series methods of modeling
A&ED visits with different triage categories and mode of arrival. All
the methods are compared in terms of goodness-of-fit and forecast
accuracy. The purpose of this research is two-fold. First, this research ispart of attempt to build a simulation model for A&ED of a local
hospital. Second, the results may be useful for reexamine the resource
allocation plan of the A&ED.

Evaluation of a Supply Chain Performance Using a Fuzzy
Decision Support System
Isabel L. Nunes1, Sara Figueira1, Virgilio Cruz Machado1
1
Universidade Nova de Lisboa, Portugal

This paper presents the application of a Fuzzy Decision Support
System (FDSS) model designed to assist managers in their decision
process related with the choice of the best alternative to face Supply
Chain (SC) disturbances. The FDSS operates supported on two main
pillars, one is the use of Fuzzy Set Theory to model the uncertainty
associated with disturbance occurrences, their effects on the SC and thecomputation of a Performance Index; the other is the use of ARENA(commercial simulation tool) to study the behavior of a SC subject todisturbances, and the effects of the implementation of mitigation orcontingency plans designed to counter such disturbances. Using this
FDSS, the decision maker can choose which the best solution is for hiscompany considering not only his company's characteristics, but also
the characteristics of the other SC entities.

Assessing Quality of Manufacturing Organizations - A
Graph Theoretic Approach
Mohit Singh1, I.A. Khan2, Sandeep Grover3, S.C. Gupta1
1
Northern India Engineering College, India
2
Jamia Millia Islamia, India
3
YMCA University of Science & Technology, India

The aim of this paper to assess the manufacturing industries bydetermining a single numerical index with the help of Graph Theoretic
Approach (GTA). To apply the Graph theoretic approach the authors
identified the factors and co – factors through an intense literature
survey and determined interdependence between them. The factors aregrouped into four main factors namely Human Resource; Material,
Machine and Methodology; Planning and Organization; Work culture.
The GTA methodology reveals a numerical index showing the bestindustry.

On Storage Capacity Pooling through the Supply Hub inIndustrial Park (SHIP): The Impact of Demand Uncertainty
Xuan Qiu1, George Q. Huang1
1
The University of Hong Kong, China

The Supply Hub in Industrial Park (SHIP) is proposed as a public
warehouse providing warehousing and logistics services to internal
enterprises of an industrial park. One of the most significant benefits ofadopting the SHIP is the storage capacity pooling making efficient useof scarce land resources. This paper explores the SHIP's storage
capacity pooling effect through examining the impact of demand
uncertainty. Two mathematical models of the supply chain in a typicalindustrial park are formulated: with and without SHIP. The simulation
approach is applied and sensitivity experiments are conducted forcomparative analysis. The simulation results show that the storage
capacity pooling is beneficial to the entire supply chain especiallywhen the demand pattern is complementarily seasonal or identically
volatile. Besides, the performance improvement of the supply chain
becomes more significant when the demand variance is higher
especially under the identically volatile demand pattern.

Session
Date
Room

Poster Session 3
Fri, 9 Dec
Venus III

Efficiency Improvement on Job Scheduling by Using
Genetic Algorithm: A Case Study in Electronic Industry
Budtree Limwanich1, Rati Wongsathan1
1
North-Chiang Mai University, Thailand

In this paper, we present the implementation of Genetic Algorithms(GA) which are modified to deal with the job scheduling in theelectronic assembly industry. The performance comparison showedthat the proposed GA gives perform significantly better in decreasing
makespan and idle time. Furthermore, we accelerated the proposed GA
by using the solution from the conventional heuristic methods as theinitial population. It showed that the solution converges to the
optimum faster than the former. However, due to the nature ofstochastic search conducted by GA, we also focus on GA parameterswhich through experiment design and fine tuning of parameters.

Process Family Planning: a Methodology Integrating PetriNets and Knowledge-based Systems
Linda Zhang1, Qianli Xu2
1
IESEG School of Management, France
2
Institute for Infocomm Research, A*STAR, Singapore

Planning production processes for product families (i.e., process familyplanning) has been recognized as a key to achieving production
efficiency. In view of the advantages of Petri nets (PNs) for modelinglarge systems and the potential of knowledge-based systems (KBSs) for
solving complex problems, we develop a methodology integrating PNs
and KBSs to support process family planning. An integrated
product-process family structure, called IP2S, is proposed to organize
data pertaining to a product family and the corresponding process
family. Accordingly, a PN model integrating the principles of several
well-defined PN extensions is further developed to model the
dynamics of process family planning (i.e., how production processes
are planned for a product family). Based on the methodology, a
prototype is developed, and applied to planning production processes
for a truck family.

Shifting Economic Bottleneck Identification

Junqiang Wang1, Jian Chen1, Shuo Wang1, Yingfeng Zhang1, Shudong Sun1
1
Northwestern Polytechnical University, China

Shifting economic bottleneck identification aims to improve the overallthroughput of manufacturing system. Firstly the two new concepts,
throughput sensitivity of machine andcorresponding economic bottleneck, are mathematically defined.
Secondly considering both throughput effect and active duration ofmachine, a new two-dimensional bottleneck indicator named active
throughput and duration (ATD) is presented and new concave-convex
Gantt chart is given for scheduling representation. Thirdly the shifting
economic bottleneck identification (SEBI) method is presented to
identify either the momentary economic bottleneck or statisticallystable bottleneck. What's more, it also works well when facing the soleeconomic bottleneck, multiple economic bottlenecks and shifting
economic bottleneck. Finally a practical job shop scheduling problem is
optimized and the bottleneck identification is gained by the proposed
method. Also a comparison between the proposed method and existing
method is made. The results show that the proposed approach iseffective and explicit for shifting economic bottleneck identification.

Coordination Policies in Product Development with Rework
Bingyin Bao1, Suxiu Xu1, Qiang Lu1
1
Harbin Institute of Technology, China

This paper investigates the performance of coupled development
activities with rework by proposing a quantitative model based on a
performance generation model (PGM). The objective of our model is todevelop insights about optimal strategies (i.e., sequential, concurrent,or overlapped) to improve project performance, overlapping andcoordination policies with rework and time-cost tradeoff involved inconcurrent product development. Model analysis characterizes thesolution space for the coupled development problem. Specifically, ouranalysis revealed the presence of four separate regions in the optimal
coordination policies in product development: sequential strategy,
concurrent strategy, early overlapping strategy, and late overlapping
strategy. Also, we provide the explicit corresponding conditions forthese four policies as demonstrated in theorems 1-4.

Research of Supplier Fuzzy Evaluation Based on Customer
Satisfaction
Minghai Jiao1, Xueying Hong1, Ping Yan2, Long Ren1
1
Northeastern University, China
2
Shenyang Aerospace University, China

This paper researches customer demands as the initial input index forthe establishment of the supplier evaluation system, and uses house ofquality (HoQ) to quantify customer needs, then transforms them into a
corresponding supplier evaluation index weight, finally uses the fuzzycomprehensive evaluation method to process the supplier evaluationindexes and obtain the components supplier satisfaction indexes. The
case study shows that the methodology combining HoQ and fuzzy
evaluation is effective for supplier capability evaluation and selection.

A Study on Audit Fees Decision Making: Evidence from
China Stock Market
Xin Li1, Xiaobo Zhu2
1
Chongqing University of Technology, China
2
Bridgestone Europe NV/SA (Belgium), BelgiumThis paper examines the correlating factors of the audit fees in China.
By analyzing the data concerning a number of variables representing
client size, auditing risks, auditor change and the prestige of auditing
firm, a model is developed of the determinants of audit fees. The study
confirms that most of the previous research findings are also applicableto the Chinese market, and that audit fees are significantly associatedwith the complexity of audited firm, the prestige of auditing firm, theboard independence, the frequency of board meeting, and auditor
change.

Data Pre-Processing by Genetic Algorithms for Bankruptcy
Prediction
Chih-Fong Tsai1, Jui-Sheng Chou2
1
National Central University, Taiwan
2
National Taiwan University of Science and Technology, Taiwan

Bankruptcy prediction has been approached by data mining techniques.
However, since data pre-processing including feature selection ordimensionality reduction and data reduction is a very important stage
for successful data mining, very few consider performing both tasks to
examine the impact of data pre-processing on prediction performance.
This paper applies genetic algorithms, which have been widely used
for the data pre-processing tasks, for feature selection and data
reduction over a public bankruptcy prediction dataset. In particular,
the experiments based on different priorities of performing feature
selection and data reduction are conducted. The results show that
performing data reduction only can allow the support vector machine(SVM) classifier to provide the highest rate of prediction accuracy.
However, executing both feature selection and data reduction withdifferent priorities performs the same. They not only largely reduce thedataset size, but also keep the similar performance as SVM without
data pre-processing.

To Form a Smaller World in the Research Realm of
Hierarchical Decision Models
Bing Wang1, Xiaotian Yao1
1
Beijing University of Posts & Telecommunications, China

Hierarchical decision models (HDMs) have been used widely inindustrial and academic fields. The world of research in HDM isshrinking due to the connectivity of collaborative relationships
between researchers. For new research to become widely known andfor collaboration to be done in HDMs, we want to identify and connect
the clusters of the researchers and the central member of the clusters.
We use the social network analysis method to analyze the network of
HDM researchers connected by coauthorship in the selected papers.
We find out the important researchers with highest degree centralities
and publication frequencies and the key researchers among the top 8
components. We act as the "information gatekeeper" by connecting theidentified researchers so that the average distance between the vertices
is eliminated significantly and thus construct a smaller world in the
research realm about HDMs.

81

Threat Evaluation Model of Targets Based on Information
Entropy and Fuzzy Optimization Theory
Li-Ying FENG1, Qing XUE1, Min-xia LIU1
1
Beijing Institute of Technology, China

To provide practical decision-makings for fire-target assignment of
missile ground-to-air weapon system in anti-air warfare, a threat
evaluation model based on information entropy and fuzzy
optimization theory was studied. Firstly, information entropy theory
was used to calculate the entropy weight of each evaluation index, andthe importance weight of each index was also included, the entropy
weight and the importance weight of each index were integrated togain the final weight; Then, the fuzzy optimization theory was used toestablish the threat evaluation model; Finally, the validity of the model
was illustrated by a practical example.

Study of Deformation and Compensation for Ram-Quill
Type Spindle
Chia-Hui Tang1, Ching-Feng Chang1, Tsair-Rong Chen1
1
National Changhua University of Education, Taiwan

Ram-Quill combination spindle has been applied widely in Horizontal
Boring Milling Machine. It is a great benefit that the machine can beused for various applications. But as the report of experiment, the ram
housing bent when it is moved for more than half of its maximum
travel. The straightness of Ram housing is out of the tolerance and therun-out of the spindle is way behind the requirement when spindle isat the maximum extension point. This paper proposes anelectro-hydraulic monitoring and compensation system which will beable to adjust the pressure to the mechanism in time. The experiments
prove that the straightness of horizontal surface can meet therequirement, and a ball bar test at the extremely weak point shows an
improvement of the roundness tolerance for 15%. This can make themachine becoming superior equipment for high precision machining.

Fuzzy Classification of Gas Power Plant Spare Parts by
Combination Statistical Classification Technique, SAW, ABC
AnalysisShahrokh Hematyar1
1
MAPNA, Iran

Performing on time maintenance and inspections at power plant needs
that the spare parts would be enough and accessible. In order to avoid
over-stocking the spare parts in warehouses, it is important to use
spare parts classification and then assign appropriate control method.
The purpose of this paper is providing a technique to classify the spareparts by fuzzy approach. The Centeriod statistical classification, simple
additive weighted (SAW) method and ABC analysis will be used in thispaper to define membership function. This technique will be used toclassify spare parts of power plant transformer. The results show thatinventory managers and decision makers are satisfied by using thismethod. Using linguistic variables makes this method more
understandable and considering weight for each criterion makes theresults more acceptable. The membership function can be used toclassify the new items directly without rebuilding the membershipfunction again.

The Impact of Work Design Concept on Manufacturing
Performance: A Process Sector Case Study

Nimesha Vilasini1, Udaya Kahangamage1, Janaka Gamage1, Wathavana
Vithanage Randika Kosala1
1
University of Moratuwa, Sri Lanka

New strategic initiatives have gained importance in recent past due toits ability to improve process performance and reduce cycle time.
Therefore, manufacturing companies are constantly exploring ways toadopt such strategic initiatives. However, ineffective use of scientificmanagement approaches often leads to conflicts between management
and workers. This has been a critical obstacle of enhancing
productivity of well established large companies where there is apresence of strong labour unions. The purpose of this study is toelaborate on how work design concept act as a scientific foundation forsuch situations in implementing strategic initiatives. This study has
been carried out in collaboration with a leading soft drink
manufacturing company in Sri Lanka. To apply the work designconcept, a generic model of work design is defined and applied to theselected work centres of the company. The results show a significant
improvement in the productivity of the work centres.

82

Designing an Integrated Order Fulfillment System for
Configure-to-Order Production
Linda Zhang1, Qianli Xu2
1
IESEG School of Management, France
2
Institute for Infocomm Research, A*STAR, Singapore

In accordance with diverse customized products, an increased
attention has been paid to the order fulfilment process inconfigure-to-order production. However, most of the solutions
reported either focus on isolated areas without considering the impacts
from/on the related issues or approach order fulfilment processes froma strategic level. In view of the limitations of existing solutions and thesignificance of order fulfilment activity automation and integration,
this study proposes an integrated order fulfillment system (IOFS) byconsidering the entire spectrum of order fulfilment process at an
operational level. The IOFS is designed to automatically execute orderprocessing, configure products and process plans based on productand process family models. It assists companies to quickly respond todiverse customer requirements and deliver the expected products at
low costs. An industrial example of turn unit assemblies is presented todemonstrate the feasibility and potential of the IOFS.

Planning Process Families with a Knowledge-based System
Linda Zhang1, Qianli Xu2, Yongyi Shou3
1
IESEG School of Management, France
2
Institute for Infocomm Research, A*STAR, Singapore
3
Zhejiang University, China

Given the finite manufacturing resources available on a shop floor,
process family planning has been well recognized as an effective meansof achieving product family production efficiency. In view of thefundamental issues in process family planning and the potential ofknowledge-based systems (KBSs) in solving complex problems, in thispaper, we put forward a prototypical KBS to support process familyplanning by automatically generating production processes. The
XML-based knowledge representation is adopted to alleviate thedifficulties in modeling complex product and process family data andplanning knowledge. To cope with constraint handling, a mechanism isdesigned to facilitate the generation of production rules, which model
various planning constraints. Planning production processes for atruck family is used to demonstrate the potential of the prototypicalKBS.

Performance Evaluation of Knowledgeable Manufacturing
Systems Using Petri Nets Considering Dynamic Events
Youlong Lv1, Jie Zhang1
1
Shanghai Jiao Tong University, China

As the market changes more and more severely, the variation of
manufacturing environment becomes more dynamic and has greater
influence on the performance of KMS. So studying the dynamism andobtaining the knowledge of the dynamism are important for KMS. This
paper analyzes the dynamic events in KMS and their influence on
performance of KMS. Stochastic Petri nets are introduced as a way tobuild the model of KMS. Three typical kinds of dynamic events(equipment failure, work piece rework and rush orders) are extracted
based on the characteristics of KMS and are expressed in the Petri nets.
Then Petri nets for a specific KMS is built and a performance
evaluation method of such Petri nets is proposed. Experiments are also
conducted to validate this evaluation method.

Using Bayesian Networks and Importance Measures toIndentify Tumour Markers for Breast Cancer
Shubin Si1, Guanmin Liu1, Zhiqiang Cai1, Peng Xia2
1
Northwestern Polytechnical University, China
2
Xi'an Jiaotong University, China

Because breast cancer has become one the most common cancer among
women, this paper identified some effective tumour markers from
historical patient records to support cancer diagnosis. First, theadvantages of Bayesian network (BN) in target classification are
discussed, and the concept of importance measures are introduced.
Then, the original breast cancer data records used for case study arecollected from the first affiliated hospital of medical college of Xi’an
Jiaotong University, China, which are also discretized and cleared toform the standard modelling dataset. Finally, the practical BN model ofeach target variable is learned from the dataset respectively according
to the tumour marker variables of breast cancer. Based on theconstructed BN models, the importance values of all tumour marker
states are calculated and discussed for tumour marker identification.

Identifying Critical Business Rules Using Rough Set Theory
Mohamad Aghdasi1, Ehsan Malihi1, Fatemeh Ghorbani1
1
Tarbiat Modares University, IranThis paper proposes a framework to find Critical business rules using
rough set theory. Identification of Critical Business objects caused to
identify critical business rules. Critical business rule as a new concept
in business process domain, are those of business rules which havemore affect on desired business results. Finding critical business rules
help analysts to take actions to modify and optimize these rulesaligned to business goals. Proposed methodology applied in real casefor selling process.

Apply HLM to Analyze Government Policies Influence theAccessibility Of Sidewalks
Ching-Tsung Hung1
1
University of Kainan, Taiwan

In the long term intent of the Americans with Disabilities Act (ADA)
that publicly available services along a public street be accessible topeople with disabilities via a continuous, unobstructed pedestrian
circulation network. Many countries follow the concept of ADA and
implement relevant laws. This study supposes that government
policies will affect the barrier-free sidewalks environment. The
government policies are organization level, and the accessibility ofsidewalks is Individual level. Hierarchical linear modeling (HLM) canhandle the relationship with different levels. With the result, therelated law did not influence the situ performance of sidewalks. Only
managing sidewalks plan and budget has mediational effects. It meansthat the related law is long-term effect and the sidewalk accessibility
assessment process will be modified.

Confidence Interval Estimation of Software Reliability
Growth Models Derived from Stochastic Differential
EquationsChih-Chiang Fang1, Chun-Wu Yeh2
1
Shu-Te University, Taiwan
2
Kun Shan University, Taiwan

The study develops a software reliability growth model (SRGM) withconfidence intervals that provides software developers useful
information to decide the optimal software release time and to refine
the quality of software testing tasks. The developed SRGM of thisstudy is based on stochastic calculus to deduce the confidence intervalsof the mean value function at different confidence level. Owing to lessclear explanation of the variance in the mean value function of
cumulative software errors in most software reliability growth models,
it might not be effective in deducing the confidence interval concerning
the mean value function. Therefore, software developers cannot
estimate the possible risk variation in software reliability, and it might
diminish the value of practical applications. In this study, we utilize themethod of stochastic differential equations and five classic models(Goel and Okumoto's model (1979), Yamada's Delayed S-shaped model(1983), Ohba's Inflection S-shaped model (1984), Yamada's exponential
model (1992), Chiu and Haung's learning effect model (2008)) to build
the SRGM with confidence intervals that can assist the softwaredevelopers in determining the optimal release times at different
confidence levels. With regard to the software failure phenomena, they
were supposed as Non-homogeneous Poisson Process (NHPP) in thisstudy.

A Genetic Algorithm Approach for Modelling andOptimisation of MAJSP- Part I:Modeling

Roohollah Milimonfared1, Romeo Marian1, Zeinab Hajiabolhasani1
1
University of South Australia, Australia

This paper and its companion (Part 2) will focus on Multi-Attributes
Job-Shop Scheduling Problem (MAJSP). MAJSP is an extension ofclassical JSP. It represents more realistic scheduling problems since it
includes more constraints of jobs. The objectives for part 1 are first toinvestigate whether the provided resources are appropriate for one
month schedule and second to maximise the profit for a MAJSP bydifferent methods of resource allocations. In the second part, the effectof genetic operators on the optimal solution obtained by the previous
part will be discussed. In a MAJSP, more attributes introduce moretypes of resources. The resources are in terms of labour, material, andcapital which can be restricted to be equally or non-equally allocated tothe machines. Here, two algorithms were developed based on theseassumptions and it was found the latter approach yields better resultsin terms of optimality and convergence speed.

On The Development of Adoption of Newer Successive
Technologies Using Stochastic Differential Equation
P.C. Jha1, Kuldeep Chaudhary1, Anshu Gutpa1
1
University of Delhi, India

In the literature some models have been proposed to describe thediffusion behavior of the successive generational products based ondeterministic new product diffusion models for single generational
products. The deterministic models ignore the environmental as wellas internal system disturbances. These disturbances create randomness
in the adoption process which is likely to be larger in case ofgenerational products. A few single generation diffusion models
describe this randomness by introducing stochasticity using Ito’s typestochastic differential equations. In this paper, we formulate amathematical model, that simultaneously describe the adoption
pattern of a base technology and substitution effect over thegenerations of the base product for durable technology product, using
stochastic differential equations with continuous state space. The
validity of the proposed model is illustrated using four generation IBM
Main frame computer data reported in literature.

A Framework Algorithm for a Real-World Variant of the
Vehicle Routing Problem
Vu Pham1, Tien Dinh1
1
University of Science, Viet Nam

The vehicle routing problem has a half-a-century development history
with many variants and algorithms. In this work, we tackle areal-world variant which has a heterogeneous fleet of vehicles andrequires scheduling at limited-slotted depots with a time window
constraint at a centralized garage. We first give problem formulations,introduce our approach to decompose this variant into subproblems
and present our framework algorithm with experiments on real-world
data sets. Experimental results show that our algorithm outperforms
the heuristic method relaxed from dynamic programming and themulti-stage local search method. Our result is also far better than thatof the experience-based greedy method. Significant savings with low
resource consumption suggest practical use of our algorithm inreal-world applications.

A Branch and Cut Algorithm for the Multi-Vehicle
One-to-One Pickup and Delivery Problem with Split Loads
Temel Oncan1, Dilek Tuzun Aksu2, Guvenc Sahin3, Mustafa Sahin3
1
Galatasaray University, Turkey
2
Yeditepe University, Turkey
3
Sabanci University, Turkey

In this work we deal with the Multi-vehicle One-to-one Pickup and
Delivery Problem with Split Loads (MPDPSL). This problem is a
generalization of the one-to-one Pickup and Delivery Problem (PDP)
where each load can be served by multiple stops by the same vehicle.
In practice split deliveries is a viable option in many settings such ascourier services of third party logistics operators. We propose abranch-and-cut algorithm which employs valid inequalities devised forspecial cases of the MPDPSL, such as the Dial-a-Ride Problem, PDP
and Split Delivery Vehicle Routing Problem. According to our
computational experiments with randomly generated test instances, we
may claim that the proposed algorithm can be used for small sized
instances.

Research on Rapid Design Plan For Engine Based on Human
Factors Engineering
Han Yu1, Qing Xue1, Minxia Liu1
1
Beijing Institute of Technology, China

Based on the theory of Human Factor Engineering, Modular design
and Interface technology, the paper put forward rapid design plan andprototype system for engine under the guidance of those theories. The
innovation of this system was fulfilling transmitting parameters ofengine by using interface technology, and achieving the application ofmodule structure by using interface template. The page design of thesystem was guided by color collocation theory, readability andoperability. System evaluation fully embodied the humanization design,and emphasized user's experience.

83

Towards Human Stability in Transport Systems

Philippe Richard1, Vincent Benard1, Frederic Vanderhaegen2, Patrice Caulier2
1
IFSTTAR, France
2
LAMIH, CNRS, France

Human errors are responsible for about 70% of incidents and accidents
in transportation systems. This paper proposes to take into accounthuman stability whose main objective is to improve system risk
assessment. Some definitions about concepts of robustness, resilience ...
are provided to position the human stability in relation to thesedefinitions. Then, a definition of human stability is proposed and aformalism based on a set of states and transitions is presented. A firstmono-criterion assessment method is proposed and applied to atransportation system: the air traffic control.

Work Motivation and Job Performance of Frontline
Employees: the Mediating Role of Organizational
Commitment
Panagiotis Trivellas1
1
Technological Educational Institute of Chalkis, Greece

This paper outlines the critical role of employees' organizational
commitment in the link between work motivation and job performance.
The discussion arises primarily based on the considerable theoreticalvagueness and empirical inconclusiveness concerning this relationshipthat appears in the literature. As of interest to address this gap, aresearch framework is developed in which organizational commitment
acts as the mediator between work motivation and job performance.
The empirical findings from a survey of 220 bank frontline employees
in Greece confirmed the mediating role of organizational commitment.
The main implication of the findings for managers is that motivatedfrontline bank employees are more likely to achieve better job
performance when they are committed, as a result of enforced HRM
practices.

The Human Factors Analysis of Marine Accidents Based on
Goal Structure Notion
Tingting Dai1, Haiyan Wang1
1
Wuhan University of Technology, China

The human actor is a main factor which results in marine accidents
which has been recognized by the navigation system. And it has been akey problem how to control and reduce the marine accidents. In thispaper, Goal Structure Notion (GSN) is adopted to analyze the marine
accident and research the existent of various potential risk factors
which are demonstrated from five factors of organization andmanagement, environment, human, ship equipment and theregulations. The paper mainly studies the subsystems of the humanfactors framework, which consist of the physical and mental qualities
protection factor, behavioral protection factor, education and training
protection factor, human group behavior protection factor and work
attitude protection factor. And some recommendations are putting
forward to reduce the human factors.

Situational Awareness Needs for System Interaction Design
D'oria Rosli1, Azizah Abdul Rahman2, Rose Alinda Alias2
1
Universiti Tun Hussein Onn Malaysia, Malaysia
2
Universiti Teknologi Malaysia, Malaysia

This paper presents an analysis on Situational Awareness needs thatwill help to improve the interaction design between user(s) andsystem(s). Interaction design very much interested on how to design a
product or a system used in working environment concerning how
user interact and communicate with each other. Due to the limited
study on Situational Awareness (SAW) that highlights on humaninteraction criteria, this study is aiming to provide some input on thecues related to perception, comprehension and projection fromoperators' needs. We employ surveyed technique as to gather
operators' requirements and most of the targeted operators involved inthis study are from the manufacturing industries. Findings on SAW
needs are fully addressed to further explore SAW in interaction design
study.

84

A Design of 3D Modeling Virtual Fitting Project for Online
Shopping
Pangli Zuo1, Yi Zhao2
1
Beijing Institute of Technology, China
2
Beijing University of Posts and Telecommunications, China

In the modern society, it is no doubt that shopping online is much more
efficient compared with shopping in a particular mall. Customers areoffered wider choice and save time, absolute advantages comparedwith traditional method, by shopping online. However, likeadvantages, weaknesses of online shopping do exist. For instance,
customers cannot view products from different angles, or try on
clothes virtually; they may worry about the fitness of the clothes. To
reduce uncertainty, we design an engineering project, 3D modelingvirtual fitting. Customers only need to upload their three-dimensional
figure model and choose the clothes they like; they will see the model
wearing the clothes they choose for the systems will synthesis thefigure model with cloth models automatically. Taking this project can
attract potential customers and reduce the logistics costs for return theunfit clothes. However, the technique of three-dimensional
reconstruction is still in the test phase.

Achieving Platform Leadership: Application of Invertingand Porting in System Development
Jerome Chih-Lung Chou1, Chia-Liang Hung2, W. T. Li2
1
Hwa-Hsia Institute of Technology, Taiwan
2
Chi-Nan International University, Taiwan

Inverting and porting are two of modular operators identified by
Baldwin and Clark (2000) in Design Rules to characterize changes ofsystem modularity. The objective of this article is to examine theeconomics of inverting and porting and to infer their implications toplatform strategy. The result is that for inverting to be beneficial, themodule must have technological nature of a platform, which is tointeract with many modules, and to succeed in inverting, transactional
mechanisms and marketing initiatives must be devised because
suppliers and consumers are linked by modular compatibility resulted
from standardized interfaces. Porting can be applied passively todeliver benefit of insurance or actively to advocate new value
propositions. Active porting starts a window of opportunity for themodule to invert to become a platform. The case of the leading digitalmusic service provider in Taiwan, KKBox, is discussed as anillustration.

Uncertainty Analysis on Number of Fatalities in Building
Fires
Guanquan Chu1, Jinhui Wang2
1
Waterborne Transportation Institute, Ministry of Transport, China
2
Shanghai Maritime University, China

A probabilistic ASET (Available Safe Egress Time)/RSET (Required Safe
Egress Time) timeline assessment approach is presented to makeuncertainty analysis on number of fatalities in building fires. ASET and
RSET are achieved as two dependent random variables withconsideration of uncertainties of fire dynamics and human behaviors.
When analyzing stochastic ASET, uncertainty of design fires is
considered by coupling Monte Carlo simulation with two-zone firemodel. When analyzing stochastic RSET, uncertainty of fire detection
and alarm time is considered by coupling fire model and Monte Carlosimulation. Occupant pre-movement time is proposed as probability
distribution. The interdependency between ASET and RSET isconsidered in the analysis process by lognormal fire growth rates. To
demonstrate the approach, a case study is discussed.

Composable Correlation Mining of Cloud Service in Cloud
Manufacturing
Hua Guo1, Lin Zhang1, Fei Tao1, Zhiyun Ren1, Yongliang Luo1
1
Beihang University, China

The emergence of cloud manufacturing (CMfg) provides a newopportunity for the change of manufacturing towards service-oriented
model. Cloud service composition (CSC), which can realize the added
value of cloud service (CS), is the core to implement CMfg. Since there
always exist correlations among CSs, especially composable correlation(CoC), which can affect the construction of CSC path. Hence, how tomine the CoC among CSs and judge which kind of CoC between themis a key issue. This paper presents the formalized description for CoC,
and designs decision algorithms to judge CoCs between CSs based on
bipartite graph. The case study illustrates the application of proposed
algorithms.

Energy Adaptive Immune Genetic Algorithm for
Collaborative Design Task Scheduling in Cloud
Manufacturing System
Yuanjun Laili1, Lin Zhang1, Fei Tao1
1
Beihang University, China

A new manufacturing paradigm, i.e. Cloud Manufacturing (CMfg) has
been proposed recently. In order to satisfy high efficiency and low costcollaborative design task scheduling in CMfg, a new energy adaptive
immune genetic algorithm (EAIGA) was designed. With theintroduction of potential energy storage and detection, the newalgorithm can not only improve searching diversity based on immune
strategy, but also adaptively adjust the probabilities of crossover andmutation with low time complexity. The experimental results
demonstrate that the new algorithm can effectively solving
collaborative design task scheduling problem with a good balance
between searching diversification and intensification.

Design of a Lean Development Framework
U. Dombrowski1, Thimo Zahn1
1Technische Universitat Braunschweig, Germany

In today’s business environment many enterprises react to changing
conditions by implementing lean development (LD). LD offers anapproach to eliminate waste, achieve high quality, and reduce thetime-to-market. Enterprises that want to implement LD are faced withmany different concepts. The paper presents the major LD-concepts
published during the last 10 years and summarizes the contents in aframework, which contains seven prin-ciples. The framework can beused as basis to develop enterprise-specific LD-concept with theconsideration of all important aspects of LD. The developed framework
was validated in the automotive industry and further research needs
are mentioned.

Study on the Variation and Survival Factors in the Business
Evolution Process Based on Organizational Ecology
Jie Hou1, Qiang Lu1, Yongjiang Shi2
1
Harbin Institute of Technology, China
2
University of Cambridge, United Kingdom

Based on the theory of Organizational Ecology, this paper studies fiveEnterprises in the format of business ecosystems in the industries ofelectric car and consumer electronics. The findings show that, in abusiness evolution process, the major influencing factors for variation
are market expansion, resource advantage expansion and applicationof new business model, and the survival strategies after the variation
include legalization and resources accumulation, which aims to raise
the organization inertia. Business growth is a continuous "trial anderror" and innovation process of finding the right niche.

A New Practical Conformance Testing Method Based onStandard
Zhou Jiang1, Li Zheng2, Fujiang Liu3, Qing Xiang2
1
Tsinghua University, China National Institute of Standardization, China
2
Tsinghua University, China
3
Zongdycyber Group Co. Ltd, China

The overall framework and principles of conformance and testing havebeen described by the series standards of ISO/IEC 9646. However,those standards fail to present a feasible tool to execute the testing. In
this paper, a new practical conformance testing method based onstandard is presented. First, the system under test(SUT) answers to the
Implementation Conformance Statement(ICS) proforma designed by
the testing laboratory based on the basis standard, then thecorresponding use cases for testing could be settled based on theanswers and the testing proforma could be designed accordingly,
establishing a practical mechanism to instantiate the Executable Test
Suite(ETS) with the Abstract Test Suite(ATS). Additionally, a number ofexperiments were performed to certify the validity of our method. The
results indicate that the method can be popularized in the field ofstandardization.

85

Author IndexA
AARABI, Majid p.39
ABBASI, Sahar p.53
ABDUL RAHMAN, Azizah p.84
ABDULLAH, Rohana p.74
ABEDZADEH, Mostafa p.35
ABELE, Katrin p.46
ABOU MSABAH, Slimane p.45
ACKERE, Ann van p.80
AGARWAL, Gopal p.37
AGGARWAL, Anu.G p.75
AGHDASI, Mohamad p.83
AGUSTINA, Dwi p.34
AHMAD, Nafis p.44
AHMADIZAR, Fardin p.66
AHMED, Pervaiz Khalid p.71
AHSAN, Kazi Badrul p.66
AKHAVAN, Afarin p.77
AKIYAMA, Masanori p.59
AKRAM, Muneeb A. p.79
AKSU, Dilek Tuzun p.83
AKULA, Shakti p.75
ALENCAR, Luciana p.56
ALIAS, Rose Alinda p.84
ALMEIDA, Adiel p.33, 56
AL-ME'RAJ, Ismail p.70
ALOISE, Dario p.33
AMANO, Yoko p.45
AMIN, Aamir p.42
AMINI, Alireza p.68, 39
AMIRI, Amirhossein p.73, 74
AMIRI-AREF, Mehdi p.63, 52
AMORNSAWADWATANA,
Sataporn p.37
AMRINA, Elita p.62
ANAND, A. p.61
ANAND, Adarsh p.35
ANUAR, Nurul Izah p.48, 49
ANZANELLO, Michel p.40
AOYAMA, Atsushi p.33
AREZES, Pedro p.59
ARISAMADHI, T.M.A. p.39
ARTIGUES, Christian p.34
ARYANEZHAD, M.Bahador p.63
ASIM, Muhammad p.46
ATASHI, Arsham p.35
AURELIO, Diogo p.53
AURIOL, Guillaume p.69
AYUTIRTA, P. Laras p.71
AZABADI, Jamal Hosseini p.69
AZADNIA, Amir Hossein p.31
AZARIAN, Armin p.77
AZHDARI, Armaghan p.74

B
BABA-ALI, Ahmed Riadh p.45
BABAR, Osman p.46
BABOLI, Armand p.39
BABOVIC, Elmir p.45
BADURDEEN, Fazleena p.72
BAGIA, Ravindra p.48
BAHLI, Bouchaib p.78
BAO, Bingyin p.81
BAPTISTA, Elesandro A. p.48, 47
BARMAN, Goutam p.74
BARON, Claude p.69
BARROSO, Ana Paula p.58, 39
BASHIRI, Mahdi p.73, 63, 74
BASRI, Shuib Bin p.42, 48
BASSETTO, Samuel p.73
BASTIAS, Alfonso p.65
BAUER, Wolfgang p.47
BAUMANN, Philipp p.41
BAUMGARTEN, Sven p.33
BAZRAFSHAN, Majid p.75
BECKER, Peter p.40
BEHESHTI, Hooshang M. p.39
BEHNAMIAN, J. p.53
86

BEHNCKE, Florian G. H. p.46,
44
BEHROUZI, Farshad p.37
BEHROUZI, Farzad p.37
BEKESAS, Luiz C. p.48, 47
BELSKI, Alexander p.45
BEN JAAFAR, Ines p.66
BENARD, Vincent p.84
BENSLIMANE, Younes p.62
BENSLIMANNE, Younes p.78
BERA, Sasadhar p.74
BERGES, Luis p.76
BERGMAN, Bo p.73
BERRYMAN, Matthew p.45
BHUIYAN, Yeasin p.42
BI, X. p.59
BIN, Ma p.79
BIN IDRUS, Arazi p.55
BLASZCZYK, Tomasz p.56
BOKHORST, Jos A.C. p.72
BRANDINU, Gianluca p.56
BROWN, Adam p.72
BURGGRAF, Peter p.64
BUSCHMANN, Markus p.64

C
C.R., Jithin p.65
CAGNO, Enrico p.64, 59
CAI, Zhiqiang p.82
CAKRAVASTIA, Andi p.39
CAMPOS, Ana Carolina p.33
CAPRIHAN, Rahul p.40, 72
CARIDI, Maria p.68
CATTRYSSE, Erik p.42
CAULIER, Patrice p.84
CEDER, Avishai p.51
CHAI, Kah-Hin p.65
CHAKRABORTY, Ayon p.54
CHAN, Felix T. S. p.48
CHAN, Mong-Tien p.31
CHANG, Chin-Chih p.52, 72
CHANG, Ching-Feng p.82
CHAO, Tzu-Chin p.52
CHATAVITHEE, Pachara p.40
CHAUDHARY, Kuldeep p.41,
83
CHEAH, Yu-N p.77
CHEGENI, Majid p.70
CHEN, Aiqing p.75
CHEN, Bing p.47
CHEN, C. M. p.45
CHEN, Chun-Hsien p.40
CHEN, Dar-Zen p.78, 60
CHEN, Hua Xing p.36
CHEN, Hui-Chen p.51
CHEN, Jian p.81
CHEN, Jiang Hang p.68
CHEN, Jin p.65
CHEN, Li Wei p.65
CHEN, Liangpen p.76
CHEN, S. H. p.67
CHEN, Shin-Guang p.43
CHEN, Songlin p.67
CHEN, Ssu-Han p.60
CHEN, Tsair-Rong p.82
CHEN, Tung-Tsan p.69
CHEN, Wenjun p.56
CHEN, Xingyu p.40
CHEN, Yin-Ju p.65
CHEN, Yuepeng p.46
CHEN, Yung-Hsin p.57
CHENG, Chun-Yuan p.67
CHIANG, Shu-Min p.49
CHIDAMBARAM,
Ramanathan p.55
CHIN, K. S. p.80
CHIOU, Cherng-Ying p.67
CHOI, Hae-Jin p.52
CHOI, K.S. p.59

CHONG, Alain Y. L. p.48
CHONGSTITVATANA,
Prabhas p.45
CHOU, Jerome Chih-Lung
p.84, 56
CHOU, Jui-Sheng p.48, 81
CHOWDHURY, Shyamapada
p.76
CHOWDHURY, Sunetra p.76
CHU, Chihpeng p.50
CHU, Guanquan p.84
CHU, Sydney C. K. p.35
CHUANG, Hsiao-min p.50
CHUNG, Chia-Shin p.37
CHUNG, J.H. p.59
CHUNG, Yu-Chun p.71
CHUTIMA, Parames p.45
CINAR, Yahya p.70
CIRAVEGNA, Luciano p.69
CLARYS, Jan Pieter p.42
CONRAD, John p.78
COPPINI, Nivaldo L. p.48, 47
CORRER, Ivan p.47
CORTES, Patricio p.65
CREEMERS, Stefan p.55
CRUZ MACHADO, Virgilio
p.66, 58, 39, 53, 80
CUI, Hui p.59

D
DAI, Tingting p.84
DAI, Wei p.74
DAMAYANTI, Dida p.53
DANI, Samir p.79
DANIILIDIS, Harrys p.47
DAS, Milton Kumar p.76
DE LA SEN, Manuel p.52
DE SMET, Yves p.52
DEEFI ANNA, Ika p.38
DEHGHANIAN, Farzad p.39
DELGADO, Carlos Arturo
p.80
DEMEULEMEESTER, Erik
p.55
DESAI, Tushar N. p.75
DHANASEKAR, B. p.72
DIGALWAR, Abhijeet p.43
DINH, Tien p.83
DJAUHARI, Maman p.43, 54,
74, 41DOMBROWSKI, U. p.85
DOMINIC, P. D. D. p.48
DONG, Huei-Ru p.78
DUC, Truong Ton Hien p.52
DUFFUAA, Salih p.70
DUMKE, Michael p.45
DUPONT, Lionel p.66

E
EAGER, David p.48
EDMAN, Lennie p.59
EDWARDS, John S. p.77
ELALOUF, Amir p.51
ELANGO, M. p.80
ELEZI, Fatos p.51, 68
EL-KILANY, Khaled S. p.79
ELOMBO, Andreas I p.76
ERGENC, Ali Fuat p.66
ESPADINHA-CRUZ, Pedro
p.66
ESSAM, Daryl p.34
EUSGELD, Irene p.76
EZE, Uchenna Cyril p.55, 38

F
FAN, Chin Yuan p.61
FAN, Yilin p.61
FAN, Zhigang p.49
FANG, Chih-Chiang p.83
FATEMI GHOMI, Seyyed
Mohammad Taghi p.53, 57, 58
FENG, Li-Ying p.82
FERA, Marcello p.68
FERRIS, Timothy p.45
FIEGENWALD, Valerie p.73
FIGUEIRA, Sara p.80
FILIPPOV, Sergey p.55
FLYNN, James p.37
FOGLIATTO, Flavio p.40
FORE, Stanley p.70
FOTUHI, Fateme p.32
FRANKE, Stefan p.45
FU, X.D. p.35
FUJII, Nobuzumi p.73
FUJIMURA, Shigeru p.40
FUJIMURA, Shuzo p.62
FUNG, Richard Y. K. p.72
FURST, Elmar p.73
FURUKAWA, Takao p.44

G
G. MANALO, Romeo p.69
GALAR, Diego p.76
GAMAGE, Janaka p.82, 53
GAN, Chin Wei p.79
GAO, Tiegang p.47
GEIGER, Florian p.41
GENG, Shuai p.49
GERBER, Aurona p.60
GHADGE, Abhijeet p.79
GHAHREMANLOO, Hoda
p.46
GHEDIRA, Khaled p.66
GHORBANI, Fatemeh p.83
GNONI, Maria Grazia p.66
GOH, Chong Minsk p.71
GOH, Gerald Guan Gan p.55,
38
GOH, Mark p.37
GONEN, Amnon p.59
GOODYER, Jane p.43
GOTO, Hiroyuki p.79, 80
GRACE, J. R. p.59
GRIESBACH, Tim p.45
GRIGG, Nigel p.43
GRILO, Antonio p.66, 53
GROVER, Sandeep p.80
GRUBER, Sebastian p.64
GRUND, Martin p.60
GU, Qiaolun p.47
GUO, Hua p.84
GUO, Peijun p.32
GUO, Ying p.68
GUPTA, S.C. p.80
GURGEL, Andre p.33
GUTPA, Anshu p.83

H
HABIB, Md. Mamun p.38
HADAS, Yuval p.51
HAJIABOLHASANI, Zeinab
p.83, 68
HAJIHA, Ali p.45
HAKIMI-ASIABAR, M. p.53
HALIM, Abdul Hakim p.76
HAMAGUCHI, Tomoki p.34
HAMDANI, K. p.59
HAMMAMI, Ramzi p.46
HAMTA, Nima p.53
HANAFI, Jessica p.43

HANDANI, Dhimas p.75
HANG, C. C. p.49
HARIDY, Salah p.73
HARIYANTO, Surya p.75
HASANI, Reza p.58
HASHEMI, Maliheh p.52
HASHIMOTO, Ken p.62
HASSAN, Mohd Fadzil p.42
HATAMI, Tahmas p.47
HAZRA, Jishnu p.71
HEIDARI, Hamed p.49
HELLENBRAND, David p.47
HEMATYAR, Shahrokh p.82
HEMDI, Abdul Rahman p.31
HEMMATJOU, Roghayeh p.31
HIDAYAT, Yosi Agustina p.38
HISJAM, Muhammad p.43
HO, W. I. p.44
HO, William p.77
HONG, Jungwan p.72
HONG, Sheng-Wen p.74
HONG, T.K. p.46
HONG, Xueying p.81
HOOSHANGI TABRIZI, P. p.53
HOSSAIN, Md. Shahriar Jahan
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HOSSEIN MIRZAEI, Ali p.37
HOU, Jie p.85
HOU, Shiwang p.46
HOWSAWI, Eskander p.48
HSIAO, Shu-Hwa p.67
HSIEH, Chia-Lin p.39
HSU, Chia-Wei p.67
HSU, Wei-Lun p.65
HU, Kae Kuen p.65
HU, Kaishun p.46
HU, Qingpei p.75
HU, Xiaofeng p.72
HU, Xiaoming p.67
HUA, Dingguo p.75
HUANG, Boray p.76
HUANG, C. M. p.61
HUANG, George Q. p.80
HUANG, Huiling p.62
HUANG, Joshua Zhexue p.35
HUANG, Mu-Hsuan p.78
HUANG, Pengpeng p.54
HUANG, Rong-Hwa p.36, 49
HUANG, T. Y. p.61
HUANG, Yilun p.51
HUANG, Yin-Chi p.31
HUANG, Yi-Shun p.32
HUANG, Yong p.56
HUANG, Yuan-Kuei p.38
HUNG, Chia-Liang p.84, 56
HUNG, Ching-Tsung p.83
HUNG, Hsin-Hua p.69
HUSNIAH, Hennie p.76
HYPPANEN, Sakari p.65

I
INOUE, Toshihiro p.61
ISHIDA, Kenji p.75
ISKANDAR, Bermawi p.76
ISMAIL, Hossam S. p.79
ISMAIL, K. p.77
IZADBAKHSH, Hamidreza p.70

J
JACINTO, Celeste p.64, 59
JAFARI, Mostafa p.77
JAIN, Rakesh p.76
JAIN, Vipul p.58
JAMSHIDI, Rasul p.57
JANARDHANA, G. Ranga p.72
JANTHONG, Nattawut p.62
JAVADIAN, Nikbakhsh p.63
JEHANGIR, Muhammad p.48
JEYAPAUL, R. p.53
JHA, P.C. p.41, 83

JIANG, Jun p.76
JIANG, Tongmin p.67
JIANG, Zhou p.85
JIAO, Minghai p.81
JIAO, Roger p.77
JIMOH, Adisa p.52
JIN, Dayu p.65
JIN, Kai p.66
JING, Hong p.75
JITTAMAI, Phongchai p.36
JOHANSSON, Bo p.42
JOHANSSON, Jan p.42, 77
JOLAI, Fariborz p.58
JUNIOR, Milton Vieira p.48,
47

K
KAHANGAMAGE, Udaya
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KAJIKAWA, Yuya p.67, 73
KALAWSKY, Roy p.79
KALISCHEWSKI, Kathrin
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KALLEL, Omar p.66
KAMAGAEW, Andreas p.64
KAMALZADEH, Mohamad
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KAMPKER, Achim p.64
KAMRAN, Fariza p.46
KANGWANSURA, Thirapan
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KANT, R. p.57, 61
KAPUR, Pramod Kumar p.35,
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KASEMSET, Chompoonoot
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KAZEMI, Mohammad p.63
KAZEMI, Mohammad Sadeq
p.63
KHAMFOROUSH, Mehrdad
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KHAN, A.l. p.42
KHAN, I.A. p.80
KHANLARZADE, Narges
p.37
KHOEI, Mohammad Reza
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KHOH, Soo Beng p.77
KHOLOPANE, Pulek p.52
KHORRAMI, Javad p.63
KHOSHALHAN, Farid p.58
KHRISNADEWI, Arlene p.38
KIA, Reza p.63
KIM, Byung Hwan p.62
KIMURA, Fuminori p.33
KING, Moritz p.44
KIRIKLIDIS, Christos p.55
KIRYTOPOULOS,
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KOH, Niak Wu p.57
KOHLBACHER, Markus p.69
KOLTER, Denise p.78
KOOSHA, Mehdi p.74
KORKUSUZ, Duygu p.73
KORTELAINEN, Samuli p.65
KOSALA, Wathavana
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KOSHIO, Atsushi p.59
KOTZE, Paula p.60
KRISHNAN, Girish p.65
KRONES, Manuela p.56
KRUEGER, Jens p.60
KRUSHINSKY, Dimitry p.40
KUAH, Chuen Tse p.35
KUAN, Chung-Huei p.78
KUMAR, Arun p.57
KUMAR, J. Ajith p.78
KUMAR, K. S. Jaya p.72
KUMAR, M. Senthil p.72
KUMAR, Rupesh p.76
KUMAR, Sanjay p.65
KUMAR, Sunand p.42

KUMAR, Usha Anantha p.31
KUO, Chien-Liang p.65
KUO, R. J. p.45
KUO, Shan-Jan p.56
KUO, Su-Hui p.51
KUO, Tsen-I p.69
KURNIAWAN, Bobby p.43
KWOK, C. T. p.44
KWON, James Yongjin p.72

L
LACKES, Richard p.58
LAHENIUS, Katja p.44
LAI, Changtao p.56
LAI, Hung Chih p.65
LAI, M. F. p.61
LAILI, Yuanjun p.85
LAIMITTAL, Murari p.37
LANGOVE, Naseebullah p.48
LARA AVILA, Laura Paulina
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LARSEN, Erik p.80
LAU, Antonio p.73
LAU, Henry p.33
LAU, Hoong Chuin p.36
LAU, KK p.44
LAURENCE, p.43
LE, Thanh-Son p.48
LEE, Bee Leng p.67
LEE, Carman Ka Man p.34, 60
LEE, D.H. p.68
LEE, E.W. p.32
LEONG, Kah Fai p.40
LETTERA, Gianni p.66
LEU, Jun-Der p.38
LEUS, Roel p.34
LEVITIN, Gregory p.75
LEVNER, Eugene p.51
LEYER, Michael p.54
LI, Fei p.56
LI, Feng-Chia p.52, 74, 72
LI, Hua p.66
LI, Kai-Way p.42
LI, Lili p.71
LI, Mingkun p.57
LI, S.K. p.44
LI, Shan p.47
LI, Shiying p.57
LI, Shu-Min p.57
LI, Vincent p.44
LI, W. T. p.84
LI, Xiang p.35
LI, Xiaoyang p.67
LI, Xin p.81, 72
LIAN, Zhaotong p.72
LIANG, Liang p.62
LIAO, Hongwei p.32
LIAO, Shu-Hsien p.71, 65
LIEN, Ching-Yu p.67
LIM, Roland p.79
LIM, Roland Y. G. p.57
LIM, Ronald p.32
LIMWANICH, Budtree p.81
LIN, Cheng-Shih p.69
LIN, Chia-Ching p.52, 72
LIN, Chien Chiang p.65
LIN, Hung-Tso p.31
LIN, Shieu-Hong p.60
LIN, Siou-Zih p.60
LIN, Tyrone T. p.31, 33, 32
LIN, Weidong p.58
LIN, Yu-tzeng p.50
LINDEMANN, Udo p.46, 51,
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LING, Shih Fu p.38
LIU, Bor-Shong p.42
LIU, Fang p.78
LIU, Fujiang p.85
LIU, Guanmin p.82
LIU, Minxia p.83
LIU, Min-xia p.82
LIU, Yongjiang p.46

LO, Huey-hsi p.31
LO STORTO, Corrado p.64
LOPUCH, Kayla p.78
LOUREIRO, Geilson p.69, 47
LOW, Joyce M.W. p.34
LU, Guanghe p.54
LU, Jiping p.54
LU, Min p.32
LU, Qiang p.67, 81, 71, 85
LU, Qing p.37
LU, Wei-Jun p.38
LUCATO, Wagner C. p.48, 47
LUO, Yongliang p.84
LV, YaQiong p.60
LV, Youlong p.82

M
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MAATTA, Salla p.44
MACCHIAROLI, Roberto
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MACHADO, Virgínia p.58, 39
MAEDA, Akira p.33
MAHADEVAN, B. p.71
MALAYERI, Samira Sarafi
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MALIHI, Ehsan p.83
MALIK, Mohsin p.68
MANSOOR, Saeed p.39
MAO, Hong p.33, 51
MARIAN, Romeo p.83, 68
MARNEWICK, Annlize p.42
MARRA, Marianna p.77
MARTIN, Patrick p.77
MARXT, Christian p.77
MASI, Donato p.64, 59
MAT SAMAN, Muhamad
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MATSUHISA, Takashi p.36
MBOHWA, Charles p.71, 79
MEDEIROS, Denise p.33
MELO, Renata Maciel de p.33
MERWE, Alta Van Der p.60
MHLANGA, Samson p.79
MIAO, Zehua p.48
MICHELI, Guido Jacopo Lucap.64, 59
MILIMONFARED, Roohollah
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MINSHALL, Tim p.61
MIRANDA, Salvatore p.68
MOGHIMI, A p.46
MOGOUIE, Hamed p.73
MOHAMED, Rozlini p.49
MOHD SALLEH, Rohayu
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MOHD YUSOF, Shari p.62
MOHD-ZAINAL, Affandi
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MOIN, Noor Hasnah p.36
MONTAZERI, Mahdiyeh p.46
MOOI, Herman G. p.55
MOON, K.T. p.59
MORI, Junichi p.73
MOSHIRI, Behzad p.31
MOSLEMI, Amir p.63
MOTA, Caroline p.56, 33
MUELLER, Egon p.64, 56
MUELLER, Juergen p.60
MUKHERJEE, Indrajit p.74
MURAKAMI, Keisuke p.34
MURUGAN, Sharmeeni p.74
MUTINGI, Michael p.79
MUTZE-NIEWOHNER,
Susanne p.78

N
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NAHAVANDI, Nasim p.72, 31
NAKADE, Koichi p.34
87

NAKANDALA, Dilupa p.33
NAKHAI, I. p.37, 31
NAN, Cen p.76
NAZARI, Ahad p.56
NAZARI, Mahboobeh p.39
NAZEMI, Jamshid p.41
NDLOVU, Jabulani p.79
NEE, Carsten p.64
NEGHAB, Mohammadal A.
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NG, Kam-Choi p.55, 38
NG, Kien Ming p.76
NG, Poh Kiat p.48, 49
NG, S.H. p.79, 75, 67
NGAN, Shing-Chung p.48
NIAKAN, Fardad p.68
NICKEL, Rouven p.33
NIELEN, Alexander p.78
NIKGHADAM, Shahrzad p.75
NISHIMURA, Shintaro p.75
NOGHONDARIAN, Kazem p.69
NOOROSSANA, Rassoul p.70
NUNES, Isabel L. p.80
NUR BAHAGIA, Senator p.39
NUREIZE, Arbaiy p.51

O
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OJANEN, Ville p.65
OKUWADA, Kumi p.44
OLANREWAJU, Oludolapo p.52
OMAR, Mohamed K. p.36, 34, 74
ONCAN, Temel p.83
OOI, Ghee Beng p.77
ORAWSKI, Robert p.51
OSMAN, Mojahid F. Saeed p.35
OSTASZEWSKI, Krzysztof M. p.33,
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OVERMEYER, Ludger p.45
OWLIA, Mohammad Saleh p.69,
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PAN, Li p.35
PAN, Rong p.69
PANICKER, Vinay V. p.65
PANJA, Subhash Chandra p.76
PARAMASIVAM, S. p.72
PARIDA, Aditya p.76
PARK, Taezoon p.52
PARK, Yongmin p.72
PARVIZIAN, Jamshid p.66
PASARIBU, Udjianna S. p.76
PATEL, D. P. p.61
PATHUMNAKUL, Supachai p.40,
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PATIL, Kunal p.66
PAZOKI, M. p.58
PEI, Zhi p.32
PENG, Jing p.48
PENG, Rui p.76
PENG, Xiaoying p.49
PHAM, Vu p.83
PIEWTHONGNGAM,
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PILKINGTON, Alan p.69
PIPLANI, Rajesh p.34
PLATTNER, Hasso p.60
POH, Kim Leng p.76
POOLTON, Jenny p.79
POORMOAIED, Saeed p.40
POTTHAST, Jens-Michael p.33
PRASANNA, N. K. K. p.75
PRASSE, Christian p.64
PRETORIUS, H.C. p.42, 54
PRETORIUS, Leon p.42, 54
PROMBANPONG, Suksan p.41
PUGA-LEAL, Rogerio p.66
PUJARA, A. A. p.57
88

PUTERI UTAMA, Christinep.43
Q
QIAN, Hanbo p.75
QIN, Sheng Feng p.59
QIU, Min p.68
QIU, Xuan p.80

R
RADFAR, Reza p.45
RAHARJO, Hendry p.73
RAHI, M-Javad p.47
RAHIMZADE, Kourosh p.47
RAHMAN, Mohammad
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RAJESRI, G. p.71
RAM, Bala p.35
RAMAKRISHNAN, Kumaran
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RAMAN, Dhamodharan p.53
RAMAN, VVR p.38
RAMASAMY, Valliappan p.71
RASJIDIN, Roesfiansjah p.57
RATHOD, Vijay p.76
RATHORE, Ajay Pal Singhp.76
RAZ, David p.36
REHMAN, Mubashir p.42
REINHART, Gunther p.41
REN, Long p.81
REN, Zhiyun p.84
REZAEE NIK, Ebrahim p.56
RICHARD, Philippe p.84
RIEDEL, Ralph p.56
RINKHAM, C. p.63
RISSING, Lutz p.45
ROE, Michael p.52
ROHANI, Jafri Mohd p.43
ROKOU, Elena p.55
ROLLO, Alessandra p.66
ROSLI, D'oria p.84
RUAN, Jian p.59
RUI, P. p.75, 67

S
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SADEH, Arik p.36
SAFAIAN, Mohammad Reza
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SAHIN, Guvenc p.83
SAHIN, Mustafa p.83
SAHRAEIAN, Rashed p.63
SAIF, Abdul-Wahid A. p.79
SAKATA, Ichiro p.61, 73
SAMAEI, Farshid p.74
SAMARANAYAKE,
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SAMBU POTTY, Narayanan
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SAMMIE, Batanai p.71
SANDA, Mohammed Aminu
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SANGWAN, Kuldip Singh
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SANTOS, Carolina p.39
SARKER, Ruhul p.34
SARRAZIN, Renaud p.52
SARYAZDI, Mohammad
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SASAKI, Hajime p.61
SASAKI, Kazuya p.44
SCAFOGLIERI, Aldo p.42
SCHENKL, Sebastian A. p.51
SCHLICK, Christopher M.
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SCHMITT, Robert p.40
SCHUH, G. p.64

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SELAOUTI, Anis p.33
SHABTAY, Dvir p.51
SHAHRIARI, Mohammad
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SHARAFI, Zahra p.66
SHARIF, Shamshuritawati
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SHEIKHZADEH, Alireza p.49
SHEN, Z.Q. p.64
SHENG, Y.Z. p.64
SHI, Yongjiang p.85
SHIRAKAWA, Nobuyuki p.44
SHIROUYEHZAD, Hadi p.53
SHOU, Yongyi p.82, 55, 56, 51
SHUAI, Ying p.38
SI, Shubin p.82
SIADAT, Ali p.77
SIEPERMANN, Markus p.58
SILVA, Adalberto Coelho p.69,
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SILVA, Jose Martinele A. p.47
SINGH, M. D. p.57, 61
SINGH, Mohit p.80
SINGH, Ompal p.35
SINGH, Sarbjeet p.42
SINGH, Yogender p.41
SINGHAL, Piyush p.37
SIRIRAM, Raj p.60
SIROVETNUKUL, Ronnachai
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SISWANTO, Nurhadi p.34
SIVASANKAR, S. p.53
SLOMP, Jannes p.40, 72
SOLEIMAN GARMABAKI,
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SONG, Dongping p.52
SONG, Hao p.54
SONI, Umang p.58
SOTER, Stefan p.64
SOUZA, Robert De p.37
SPIEGEL, Markus p.77
SRIDHARAN, R p.65
STEENHUIS, Harm-Jan p.78
STENSTROM, Christer p.76
SU, Jun p.61
SUBRAMANIAN, A. M. p.49
SUGANUMA, Takuya p.79
SUN, Hongyi p.72
SUN, Ke p.67
SUN, Shudong p.81
SUPITHAK, Anchalee p.36
SUTOPO, Wahyudi p.43, 39
SUZUKI, Kiyoshi p.73
SUZUKI, Takayuki p.33
SYRETT, Laura p.78

T
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TALLA NOBIBON, Fabrice
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TAN, Kay-Chuan p.65
TAN, Puay Siew p.71
TAN, Runhua p.49
TANG, Chia-Hui p.82
TANG, Loon Ching p.75
TANG, Shuiyuan p.54
TANHAIE, Fahimeh p.72
TANNOUS, O. p.67
TAO, Fei p.84, 85
TAPLIN, John p.68
TAROKH, Mohamad Jafar
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TASHIRO, Hisato p.73
TAVAKKOLI-MOGHADDA
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TEH, Pei-Lee p.71
TEN HOMPEL, Michael p.64
TEO, Kwong Meng p.76
TEWARI, Veena p.38
TEY, Voon S. p.79
TEZUKA, Taro p.33

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TIAN, Tian p.39
TIAN, Xueying p.62
TOHA, Isa Setiasyah p.53
TOLLENAERE, Michel p.73
TRAUTMANN, Norbert p.41,
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TRESIGNIE, Jonathan p.42
TRIVELLAS, Panagiotis p.84
TRUCCO, Paolo p.59
TSAI, Chih-Fong p.81
TSAI, Shuo-Chang p.57
TSENG, Hsien-Yu p.42
TSUI, K. L. p.80

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V
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VAN DE VONDER, Stijn p.55
VAN RENSBURG, Antonie
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VAN WYNGAARD, C. Jurie
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VANDERHAEGEN, Frederic
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VELOZ, Christian p.57
VILASINI, Nimesha p.82, 53
VRIES, Marne De p.60

W
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WANG, Bing p.81
WANG, Chengchao p.55
WANG, Chun-Chieh p.60
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WANG, Haiyan p.84
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WANG, Junqiang p.81
WANG, Lina p.79
WANG, Liya p.47
WANG, Lizhi p.69, 67
WANG, Min p.67
WANG, Peng-Kai p.74
WANG, Shu p.65
WANG, Shuo p.81
WANG, Tianqi p.48
WANG, Tien-Chin p.51
WANG, Weiping p.46
WANG, Xinping p.38
WANG, Xuefeng p.68
WANG, Yizhen p.54
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WANG, Zimo p.75
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WATADA, Junzo p.51, 49
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WEITLANER, Doris p.69
WEN, Haijun p.46
WEN, Pei-cheng p.31
WENG, Wei p.40
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WONG, P.K. p.49
WONG, S. Y. p.80
WONG, Seng Fat p.44
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WONGSATHAN, Rati p.81

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WU, Chi-Chuan p.65
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WU, Jianjun p.54
WU, Mingxing p.47
WU, Shaomin p.75
WU, Wei-Cheng p.33
WU, Yen-Kwan p.65
WU, Yi-Shuang p.57
WU, Yunna p.56
WU, Zengyuan p.78
WU, Zhang p.73, 67
WUANG, Min-Sun p.49
WUDHIKARN, Ratapol p.54
WURZ, Marc C. p.45

X
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XIANG, Qing p.85
XIANG, Yiming p.71
XIE, Fang p.65
XIE, Guobiao p.71
XIE, Min p.75, 67
XING, L. p.67
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XU, M. p.80
XU, Qianli p.82, 81
XU, Suxiu p.67, 81, 71
XU, Wei p.52
XUE, Qing p.83, 82

Y
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YAMAMOTO, Satoru p.67
YAN, Bingwen p.50
YAN, Jihong p.75
YAN, Nina p.39
YAN, Ping p.81
YAN, Wen Jing p.71
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YANG, Chang-Lin p.49
YANG, Hongtao p.62
YANG, Jun p.74
YANG, Q.Z. p.64
YANG, Ting p.47
YANG, Yating p.32
YANG, Zhixin p.44
YANG, Zijiang p.78, 62
YAO, Xiaotian p.81
YAZDANI, Khashayar p.77
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YEH, Chun-Wu p.83
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YEO, Wee Meng p.34
YOON, Chui Young p.62
YOSHIDA, Shotaro p.80
YOUSEFI, B. p.37
YU, Han p.83
YU, Shun-Chi p.36
YUAN, Jun p.79
YUAN, Peng p.48
YUAN, Xue-Ming p.34, 38
YUSOFF, Syahidah p.43

ZEGORDI, Seyed
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ZEIER, Alexander p.60
ZEYNIVAND, Mehdi p.66
ZHANG, Dinghua p.47
ZHANG, Faping p.75
ZHANG, Hao p.46
ZHANG, Jie p.82
ZHANG, Jinling p.49
ZHANG, Li p.50
ZHANG, Lin p.84, 85
ZHANG, Linda p.77, 82, 81, 51
ZHANG, Qizhong p.54
ZHANG, Stephen p.68
ZHANG, Xinwei p.69
ZHANG, Yingfeng p.81
ZHANG, Zhicong p.46
ZHAO, Lindu p.38
ZHAO, Ning p.72
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ZHAO, Yang Yang p.49
ZHAO, Yi p.84
ZHENG, Gang p.78
ZHENG, Li p.32, 85
ZHENG, Luoping p.48
ZHENG, Suli p.78
ZHENG, Y. p.35
ZHI, Qiang p.61
ZHONG, Shouyan p.46
ZHONG, Xin p.71
ZHOU, Yuan p.61
ZHU, Donghua p.68
ZHU, Jie p.71
ZHU, Xiaobo p.81
ZHUANG, Xiaotian p.69, 67
ZOU, Pingyuan p.46
ZUO, Pangli p.84

Z
ZAHN, Thimo p.85
ZAILANI, Suhaiza p.46
ZAKERI, Roja p.41
ZAKUAN, Norhayati p.39
ZANDIEH, M. p.53
ZARE, Yahya p.77
ZARINBAL, Amir p.70
ZARINBAL, Marzieh p.70
ZARZYCKI, Michal p.32
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SERVICES
Keynote Presentation

Useful Info

Secretariat – Meeting Matters International Pte Ltd
Email: info@ieem.org
Ria WENDARI				
Conference Management
Sarah KEE				
Technical Program CoordinatorHenry TAN/Boon Hwang NG		
Logistics
			
Mei MA				
Accounts and Admin
About Singapore
Tourist Information Hotline: 1800 736 2000
City Search: 1900 77777777			
Flight Information: 1800 542 4422
Time of Day: 1711
Weather: 6542 7788

		Emergency Services
		
Police: 999 					Police Hotline: 1800 225 0000
Ambulance Service & Fire Service: 995
Ambulance Service (for Non emergency): 1777
Emergency Road Service (24 hours): 6748 9911

Credit / Charge Cards
American Express: 1800 296 0220
HSBC Cards: 1 800 227 8889
Diners Club: 6416 0905
Master Card: 6227 8888
Visa Card: 1800 227 6868
Transport Services
Comfort Citycab: 6552 1111
Premier Taxis: 6363 6888
SMART Taxis: 6555 8888
Trans Cab: 6555 3333
Transitlink (Bus & Train): 1800 225 5663

The conference will be held in the hotel Furama River Front.
FURAMA RIVERFRONT SINGAPORE
405 Havelock Road
Singapore 169633
Tel: (65) 6333 8898
Fax: (65) 6733 1588
Website: www.furama.com

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HP: (65) 9125 9393
HP: (65) 9125 9191
HP: (65) 9125 9090/9818 1561
Tel: (65) 6472 3108

What to do and Where to go in Singapore
Own Time Own Target or Book A Tour at the Hotel Tour Desk
Sight-seeing

Sentosa

Sentosa Island is home to the Resorts World Integrated Resort, as well as a theme park,
wildlife reserves, gardens, animals parks, adventure rides, restaurants and spas, ensuring
non-stop fun around the clock.

Getting There: Take the Sentosa Bus or Sentosa Express from Harbourfront Center
Interchange (next to Harbourfront MRT station)
Operating Hours: Whole Day
Website: http://www.sentosa.com.sg

Universal Studios Singapore @ Resorts World
Sentosa (Within Sentosa)
Enter the thrilling world of movie magic as you “ride the movies®” on roller coasters andother movie-themed attractions. Be dazzled and delighted by an immersive entertainment
experience that brings the silver screen to life.

Getting There: Alight at Harbourfront MRT station and transfer to RWS 8 or take a
Sentosa Express then alight at Waterfront Station.
Operating Hours: 9 am to 6 pm
Website: http://www.rwsentosa.com/Attractions/UniversalStudiosSingapore

Gaming @ Resorts World Sentosa(Within Sentosa)

Be dazzled by one of the world’s newest gaming halls. Whether you relish a roll of thedice, appreciate good food, or simply love heart-pumping entertainment, Resorts World’s
gaming floor is the place where it all comes together.
*Note: Please show proof for foreign patrons for free entry. Dress code is smart casual

Getting There: Alight at Harbourfront MRT station and transfer to RWS 8 or take a
Sentosa Express then alight at Waterfront Station.
Operating Hours: Whole day
Website: http://www.rwsentosa.com/language/en-US/Gaming

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National Museum of Singapore

With a rich history dating back to its inception in 1887, the National Museum ofSingapore is Singapore’s oldest museum with the youngest and most innovative soul. The
galleries adopt cutting-edge and varied ways of presenting history and culture to redefine
conventional museum experience.

Getting There: Alight at Dhoby Ghaut MRT station and take a 5-minute walk.
Operating Hours: 10am – 6 pm Daily
Website: http://www.nationalmuseum.sg

Singapore Flyer

Officially launched in 2008, Singapore Flyer stands at 165 meters, with a diameter of
150 meters, making it the tallest Giant Observation Wheel in the world. Singapore Flyer
offers a breathtaking panorama of the shimmering Marina Bay waterfront and historicallandmarks dotting the city skyline

Getting There: Alight at City Hall MRT station then cross the road to Coleman

Street. Board the shuttle bus which swings by every half an hour from 10am – 10pm atthe bus stop next to St. Andrew’s Cathedral.

Operating Hours: 8.30 am – 10.30 pm Daily
Website: http://www.singaporeflyer.com

Marina Bay Sands

Marina Bay Sands features three cascading hotel towers topped by an extraordianary skypark, ‘floating’ crystal pavilions, a lotus-inspired Museum, retail stores featuring cuttingedge labels and international luxury brands, trendy Celebrity Chef restaurants, endlessentertainment at the theaters, the hottest night clubs and a Las Vegas- Style casino.

Getting There: Alight at Marina Bay MRT station and take a 5 to 10-minute walk.
Operating Hours: Whole day
Website: http://www.marinabaysands.com

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NOTESNOTESBachelor of Engineering (Hons) in Industrial Engineeringand Engineering Management (BEIEEM)
This programme aims to equip students with problem solving,
technical and managerial skills and knowledge related to
Industrial Engineering and Engineering Management and toprepare them for professional careers in managing
manufacturing, engineering and other technology oriented
services.

The graduates will develop:* a broad understanding of the principles andtechnologies related to engineering and manufacturing;* the ability to conceptualize, analyze, synthesize andimplement industrial systems and services; and* the ability to efficiently manage manufacturing,
engineering and other technology oriented systems.

Master of Science in Engineering Management (MSEM)
The programme is designed for engineers with the aim to meetthe education needs of practising engineering managers bydeveloping their managerial skills, specialist expertise andfunctional capability in the context of Engineering Management.
The uniqueness of the programme as compared with othermanagement programmes lies in the following:
Engineering Management Context
While the management skills are common, the engineering
managers manage activities with a strong engineering / technicalcontent. This programme provides the strong engineering
management context.

Engineering Doctorate (EngD)The Engineering Doctorate is a professional doctorate
degree. The Engineering Doctorate program at SEEM of
CityU focuses on Engineering Management. It is a part-time
programme designed for senior managers and engineers inall sorts of Hong Kong / China organizations. The programmeaims at developing the candidates' creative thinking andoverall capability to apply innovative technologies andadvanced management methods to meet the long-term
strategic needs of their organizations.
The EngD programme was launched in 2000 and has
attracted more than 80 senior engineering managers andexecutives from engineering companies, educational
institutes and governmental organizations in Hong Kong /China, leading to a widening network for engineering
management, technological innovation, entrepreneurshipand industry-university collaboration.
ENQUIRIES
Department of Systems Engineeringand Engineering Management (SEEM)City University of Hong Kong
Tel: (852) 3442 9321
Fax: (852) 3442 0173
Email: seemgo@cityu.edu.hk
www.cityu.edu.hk/seem/

Functional Needs of Engineering Management
The functions of general and engineering managers are
significantly different. General managers are oriented towards
business issues. Engineering managers undertake professional
functions such as engineering project management, engineering
operations planning and control and product / services
development. This programme aims to develop a criticalunderstanding of the academic and professional knowledge
required in the execution of these engineering management
functions.
EmpathyEngineers have special strengths and weaknesses. This
programme focuses on the characteristics of engineers as agroup. This facilitates the concentration and empathy required
for the successful transition from the role of engineers to thatof engineering managers.

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

!

A premier university in Asia, the Singapore
Management University (SMU) is internationallyrecognised for its world class research anddistinguished teaching. Established in 2000,
SMU’s mission is to generate leading edge
research with global impact and produce broadbased, creative and entrepreneurial leaders forthe knowledge-based economy. It is known to
be a pioneer for its interactive andtechnologically-enabled pedagogy of seminarstyle teaching in small class sizes which remains its unique hallmark. Home to 7,000
students, SMU comprises six schools: School of Accountancy, Lee Kong Chian Schoolof Business, School of Economics, School of Information Systems, School of Law and
School of Social Sciences, offering a wide range of bachelor’s, master’s and PhD
degree programmes in business and other disciplines.
Our suite of Postgraduate Professional Programmes istailored to suit the needs of students, industry and society inthis ever-changing landscape. The Masters in Innovation isa new programme by the Lee Kong Chian School ofBusiness. This programme develops participants fromdiverse industries into leaders and change agents in thepractice of Innovation and value creation.
With an emphasis on generating rigorous, high impact crossdisciplinary research that addresses Asian issues of global relevance,
SMU faculty collaborate with leading foreign researchers as well as
partners in the business community and public sector through its
research institutes and centres. Through executive education, theuniversity provides public and customised training for working
professionals in meeting the needs of the economy. Close
relationships with leading universities, including The Wharton School,
Carnegie Mellon, the University ofPennsylvania and the University of
Chicago’s Booth School of Business, allow SMU to draw
on their academic and research strengths in various
collaborations. The SMU city campus is a state-of-theart facility located in the heart of downtown Singapore,
fostering strategic linkages with the business and wider
community. www.smu.edu.sg!

University of Macau

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

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

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

Deadline for Submission: 1 June 2011