2013 IEEE INTERNATIONAL CONFERENCE ON
INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENTIEEM 201310 - 13 DECEMBER 2013 | BANGKOK, THAILAND

www.IEEM.org

Organized by :IEEE TMC Thailand Chapter
IEEE TMC Singapore Chapter

IEEE TMC Hong Kong Chapter
IEEE SMC Hong Kong Chapter

Contents

		01
		02
		04
		07
		08
		10
		11
		12
		 31
		87
		91
		93

.......

Welcome Message by Conference Chairs.......

Organizers & Committees.......

Keynote Presentations.......

Speaker Guides.......

Daily Program.......

Conference Banquet.......

Floor Plan.......

Session Schedules.......

Abstracts.......

Author Index.......

Conference Services & Tours.......

In & Around Bangkok

IEEM 201310 - 13 DECEMBER 2013 | | BANGKOK, THAILAND

Conference Venue

Swissôtel Le Concorde, Bangkok
204 Rachadapisek Road, Huay Kwang Bangkok 10320 Thailand
Tel: +66 2694 2222
Email: bangkok-leconcorde@swissotel.com
Website:http://www.swissotel.com/hotels/bangkok-concorde/

Program Overview
Tue – 10 Dec

Wed – 11Dec
Thu – 12 Dec
Fri – 13 Dec

Registration/ Welcome Reception/
Pre-Conference Tours
Opening & Keynote Presentations
Technical Sessions
Technical Sessions
Conference Banquet
Technical visits & Post-Conference Tours(Refer to Pg. 92 for more information)

Welcome Message by Conference Chairs
The 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM2013) is the seventhin the series of IEEM conferences. It is the first time the conference is organized by IEEE, jointly by Technology Management
Council Thailand, Hong Kong and Singapore Chapters. The conference is supported by Thammassat University, Universityof Liverpool, National University of Singapore and the City University of Hong Kong.
As in the past, IEEM2013 adopted a rigorous review process has helped to maintain a high standard as for the past IEEM
conferences. Each submitted paper was sent to 3-5 reviewers. The acceptance decisions were made based on at least two
consistent recommendations.
The organising committee is very grateful for Professor Ghauth Jasmon, Vice-Chancellor of University of Malaya, Dr Prinya
Sainamthip, Managing Director of Siam Research and Innovation, Co., Ltd. and SCG Cement Building Materials and Professor C.F. Jeff Wu, Coca-Cola Chair and Professor at Georgia Institute of Technology to deliver keynote speech at thisconference. We would like to thank all the authors for their contribution and the participants for the strong support. We
would also like to acknowledge the contribution by technical programme committee members and the reviewers for their
help in the review process.
This proceeding contains 342 papers from almost 50 countries and regions. It covers all the areas of industrial engineeringand engineering management. The papers present theoretical research results or application case studies. They range frommathematical modelling to engineering applications and management.
We hope that you enjoy the conference, and hope to meet you again in the next one in the near future.

Pakorn Adulbhan
General Chair
The Royal Institute of Thailand
ThailandRoger Jiao
Organizing Chair
Georgia Institute of Technology
USA

Tritos Laosirihongthong
Organizing Chair
Thammasat University
ThailandMin Xie
Program Chair
City University of Hong Kong
Hong Kong

Ronnachai Sirovetnukul
Program Chair
Mahidol University
Thailand1

Organizers & Committees
General Chair
Pakorn Adulbhan
The Royal Institute of Thailand,
Thailand
Organizing Chairs
Tritos LaosirihongthongThammasat University,
ThailandRoger Jiao
Georgia Institute of Technology,
USA
Program Chairs
Min Xie
City University of Hong Kong,
Hong Kong
Ronnachai Sirovetnukul
Mahidol University,
ThailandInternational Advisors
Daniel Berg
Rensselaer Polytechnic Institute,
United States
Boaz GolanyTechnion, IsraelThong Ngee Goh
National University of Singapore,
Singapore
Way KuoCity University of Hong Kong,
Hong Kong
Mike Gregory
Cambridge University, United Kingdom
Robert W. Grubbström
Linköping Institute of Technology,
SwedenMartin Helander
Nanyang Technological University,
Singapore
Larry Y.C. Ho
Harvard University, United States andTsinghua University, China
Tinus Pretorius
University of Pretoria, South Africa
Ralf Reichwald
Technical University of Munich, Germany
Gavriel Salvendy
Purdue University, USA and Tsinghua
University, China
Mitchell M. Tseng
Hong Kong University of Science andTechnology, Hong Kong
Ue-Pyng Wen
National Tsing Hua University, Taiwan

Advisory Committee
Arthorn Sinsawad
Chair, IEEE Thailand Section
Somkit Lertpaithoon
Rector, Thammasat University, Thailand
Prapat Wangskarn
Dean, Faculty of Engineering,Thammasat University, Thailand
Jirarat Teeravaraprug
Department Head, Department ofIndustrial Engineering, Thammasat
University, Thailand
Dumrong Taweesangsakulthai
Chair, Industrial Engineering
Committee, The Engineering Institute ofThailand Under H.M. The King’s
Patronage, Thailand
Ampika Krairit
Advisor, Industrial Engineering
Committee, The Engineering Institute ofThailand Under H.M. The King’s
Patronage, Thailand
Voratas Kachitvichyanukul
Asian Institute of Technology, Thailand
Songlin Chen
IEEE TMC Singapore Chapter Chair
Edwin Cheung,
IEEE TMC Hong Kong Chapter ChairJames Liu,IEEE SMC Hong Kong Chapter Chair
Tritos Laosirihongthong,IEEE TMC Thailand Chapter Chair
Technical Program Committee
Michel Aldanondo
Univ Toulouse Mines Albi, France
Luciana Alencar
Federal University of Pernambuco, Brazil
Imad Alsyouf
University of Sharjah, UAE
Teresa Alvarez
University of Valladolid, Spain
Mehdi Amiri-Aref
Mazandaran University of Science andTechnology, Iran
Tarik Aouam
American University of Sharjah, UAE
Pedro Arezes
University of Minho, Portugal
Ana Paula Barroso
UNIDEMI, FCT-UNL, Portugal
Samuel Bassetto
Ecole Polytechnique de Montreal, Canada
Nadjib Brahimi
University of Sharjah, UAE
Paul Chang
National Changhua University of
Education, Taiwan
Shin-Guang Chen
Tungnan University, Taiwan

2

Cheng-Wu Chen
National Kaohsiung Marine University,
TaiwanBing Chen
Northwestern Polytechnical University,
China
Jui-Sheng Chou
National Taiwan University of Scienceand Technology, Taiwan
Thierry Coudert
Univ Toulouse ENIT-LGP, France
Stefan Creemers
IESEG Management School, France
Yves De Smet
Université Libre de Bruxelles, Belgium
Fikri Dweiri
University of Sharjah, UAE
Chao Fang
Wuhan University, China
Laurent Geneste
Univ Toulouse ENIT-LGP, France
Antonio Grilo
Faculdade de Ciências e Tecnologia da
Universidade Nova de Lisboa, Portugal
Guillermo Gutierrez
Instituto Tecnológico de Morelia, Mexico
Md. Mamun Habib
American International University
Bangladesh, Bangladesh
Rika Ampuh Hadiguna
Andalas University, Indonesia
Siana Halim
Petra Christian University, Indonesia
Takashi Hasuikte
Osaka University, Japan
Jishnu Hazra
Indian Institue of Management
Bangalore, India
Chin-Yu Huang
National Tsing Hua University, Taiwan
Supachart Iamratanakul
Kasetsart University, Thailand
Shinji Inoue
Tottori University, Japan
Raja Jayaraman
Khalifa University of Science,
Technology & Research, UAE
Minghai Jiao
Northeastern University, China
Mingzhou Jin
University of Tennessee, USA
Yuya Kajikawa
Tokyo Institute of Technology, Japan
Matti Karvonen
Lappeenranta University of Technology,
Finland
Chompoonoot Kasemset
Chiang Mai University, Thailand

Organizers & Committees
Soo Beng KhohMotorola Solutions, Malaysia
Chil-Chyuan Kuo
Ming Chi University of Technology,
TaiwanChien-Liang Kuo
Chinese Culture University, Taiwan
C.K. Kwong
The Hong Kong Polytechnic University,
China
Tyrone T. Lin
National Dong Hwa University, Taiwan
Weidong Lin
Temasek Polytechnic, Singapore
Chu-Ti Lin
National Chiayi University, Taiwan
Chen-ju Lin
Yuan Ze University, Taiwan
Chun-Cheng Lin
National Chiao Tung University, Taiwan
Jun LinXian Jiaotong University, China
Bor-Shong Liu
St. John’s University, Taiwan
Yiliu Liu
Norwegian University of Science andTechnology, Norway
Jian Liu
University of Arizona, USA
Mei-Chen Lo
National United University, Taiwan
Huitian Lu
South Dakota State University, USA
Virginia Machado
UNIDEMI, FCT-UNL, Portugal
Jose Machado
University of Minho, Portugal
Harekrishna Misra
Institute of Rural Management Anand,India
Lars Moench
University of Hagen, Germany
Wasawat Nakkiew
Chiang Mai University, Thailand
Tatsushi Nishi
Osaka University, Japan
Ville Ojanen
Lappeenranta University of Technology,
FinlandSelma Oliveria
University Sao Paulo, Brazil
Mohamed K. Omar
Nottingham University Business School,
Malaysia
Taezoon Park
Soongsil University, South Korea
Syafiie Syafiie
University Putra Malaysia, Malaysia

Jennifer Percival
University of Ontario Institute ofTechnology, Canada
Leon Pretorius
University of Pretoria, South Africa
Suksan Prombanpong
King Mongkut’s University ofTechnology Thonburi, Thailand
Kit Fai Pun
University of the West Indies,
Trinidad and Tobago
Hendry Raharjo
Chalmers University of Technology,
SwedenKem Ramdass
University of Johannesburg,
South Africa
R.M. Chandima Ratnayake
University of Stavanger, Norway
Ralph Riedel
Chemnitz University of Technology,
Germany
Fernando Romero
University of Minho, Portugal
Mojahid Saeed Osman
King Fahd University of Pertoleum andMinerals, Saudi Arabia
Tomoko Saiki
Tokyo Institute of Technology, Japan
Ichiro Sakata
The University of Tokyo, Japan
Ilias Santouridis
TEI of Larissa, Greece
Kiyoshi Sawada
University of Marketing andDistribution Sciences, Japan
Mahmood Shafiee
Cranfield University, UK
Ahm Shamsuzzoha
University of Vaasa, Finland
Sung Shim
Seton Hall University, USA
Ali Siadat
Arts et Metiers ParisTech, France
Ronnachai Sirovetnukul
Mahidol University, Thailand
Stuart So
The University of Queensland,
Australia
Harm-Jan Steenhuis
Eastern Washington University, USA
Nachiappan Subramanian
The University of Nottingham Ningbo,
China

Hisato Tashiro
The University of Tokyo, Japan
Pei-Lee TehMonash University, Malaysia
Purit Thanakijkasem
King Mongkut’s University of Technology
Thonburi, Thailand
Ramayah Thurasamy
Universiti Sains Malaysia, Malaysia
Norbert Trautmann
University of Bern, Switzerland
Ming-Lang Tseng
Lung Hwa University of Science andTechnology, Taiwan
Yuan-Jye Tseng
Yuan Ze University, Taiwan
Leonilde Varela
University of Minho, Portugal
Enrico Vezzetti
Politecnico di Torino, Italy
Shengyong Wang
The University of Akron, USA
Yonggui Wang
University of International Business andEconomics, China
Chirag Warty
Ahilya Technologies, USA
Seng Fat Wong
University of Macau, Macau
Zheng Guo Xu
Zhejiang University, China
Bingwen Yan
Cape Peninsula University ofTechnology, South Africa

QZ Yang
Circular Economy Research Centre, China
Jaekyung Yang
Chonbuk National University, SouthKorea
Min Yao
Zhejiang University, China
Norio Yoshida
University of Toyama, Japan
Suhaiza Zailani
Universiti Sains Malaysia, Malaysia
Cai Wen Zhang
Sun Yat-sen University, China
Linda Zhang
IESEG School of Management, France
Allan Nengsheng Zhang
Singapore Institute of Manufacturing
Technology, Singapore

Fabrice Talla Nobibon
KU Leuven, Belgium
Yoshinobu Tamura
Yamaguchi University, Japan

3

Keynote Presentation
Wednesday – 11 Dec 2013, 9:30 - 10:15
Le Concorde Ballroom, Level 2
Ghauth Jasmon
Vice-Chancellor
University of Malaya, Malaysia

Building and Rebuilding Universities through Engineering Education and Research

Abstract

This talk is about academic leadership.
It will provide significant insights into what it took to build the first private university in Malaysia, and to propel
Malaysia’s oldest and most reputable University into the elite group of top universities in the world – an experience
spanning over 17 years! Both challenges demanded unique ways in terms of the policies introduced, and the targets
adopted. Whilst there exist overlaps with respect to the fundamental ways in dealing with human capital, and financial
resources in both cases, it is also worth identifying some key differences. The talk will highlight key policies introduced
and the spillover effects resulting from being steadfast in implementing them. It will also discuss where University of
Malaya will be headed in the next ten years, with particular note on its autonomy status and self financing plans.

Biography

Ghauth Jasmon is a distinguished scholar, accomplished academician and entrepreneur. Ghauth is currently
the Vice-Chancellor of the University of Malaya (UM), a position he has held since 10th November 2008.
Previously, he had been Founder President/CEO of Multimedia University (MMU) and Chief Executive Officer of Unity
College International. A distinguished scholar, he obtained a First Class Honours Degree in Electrical and Electronic
Engineering and was awarded a PhD degree (Power Systems) in July 1982 from the University of London. His
academic career began with the appointment as a Lecturer in the Department of Electrical Engineering at the University of Malaya in 1982. He was appointed as the Head of the Electrical Engineering Department in 1986 to 1988.
Based on his credentials, Ghauth was promoted to the rank of Associate Professor in 1989 and to Full Professor at the
University of Malaya in 1992. In the same year, he was appointed as the Dean of the Faculty of Engineering and held
the position until August 1995. Ghauth then was appointed as the Deputy Vice-Chancellor (Development) who is
responsible for the physical development and upgrading of many physical facilities across the university. He accepted
the invitation by Telekom Malaysia Berhad to set up and build Multimedia University (MMU) in Malacca, the firstgovernment-approved private university in Malaysia and became the MMU President/CEO in December 1996. In
January 2008, Ghauth left MMU to join a private college, Unity College International as CEO and shareholder. Asan academic, Ghauth has contributed extensively in research and in the Engineering Profession. He has conducted
research in the areas Power Systems Analysis, Network Analysis, Voltage Stability, System Security and Neural
Network Applications. These and other works have been published in more than 30 international journal papers
and 45 conference/seminars. He has also been involved in many professional engineering committees and activities
especially in the IEE (UK) and IEEE (USA) and was formerly a Secretary General and Vice President of the Association
for Engineering Education in South East Asia and the Pacific. He is a Fellow of the IEE, Fellow of the Institution ofEngineers, Australia, a Senior Member of the IEEE and an Eisenhower Fellow. Ghauth’s current mission is to transform
UM into a truly world class institution and achieves this by focusing on building solid academic fundamentals within
the academic and student body. He also aims to instil a higher level of entrepreneurship in the university community,
establishing more active international networking and forging greater interaction between the university and industry.

4Keynote Presentation
Wednesday – 11 Dec 2013, 11:00 - 11:45
Le Concorde Ballroom, Level 2
Prinya Sainamthip
Managing Director
Siam Research and Innovation, Co., Ltd.
& SCG Cement Building Materials, Thailand

Innovation for Sustainability: SCG Perspective
Abstract

This talk is about Innovation for Sustainability. In globalization world today, competitive landscape has changed
dramatically. World is connected. Customers are king and there are many alternative brands, products, services
for them to select. One-size-fit all strategy will no longer be competitive compared to the customized one. Being
excellent in production, meaning cost leadership, is good but not enough for the companies to sustain in a long run.
Innovations (R&D and value creation) and Marketing (Branding) will play more important roles compared to
production. Companies are keen to increase customer satisfaction by differentiate from the competitors and compete
on Value to Customers, not price. In SCG perspective, one of the two key strategies is to create high value added
products, services, and solutions through R&D and Innovation. Another is to be ASEAN sustainable business leader
through corporate governance and sustainable development. This will keep a good balance between Business andSocial & Environment that will make the organization healthy in the long run.

Biography

Dr. Prinya Sainamthip is currently MANAGING DIRECTOR of Siam Research and Innovation CO., LTD., R&D unitof SCG – Cement Building Materials Group. He graduated with B.Sc (2nd class Honors), Materials Science, from
Chulalongkorn University and M.Sc (Ceramic Engineering) and Ph.D (Ceramic Science) both form New York State
College of Ceramics, Alfred University, Alfred, N.Y., USA. He has also attended various Management Courses, suchas Wharton Executive Education, Pricing Strategies Measuring, Capturing and Retaining Value, The Wharton School,
University of Pennsylvania, Executive Programs, Creating the Market-Focused Organization, Kellogg School ofManagement, Northwestern University, Advanced Management Program, Harvard Business School, Harvard
University. His work experiences include Research Scientist, Enichem America Inc., NJ., USA. , Managing
Director, Thai Ceramic Co., Ltd. (COTTO Brand). He has also served on the Board of Directors, National Metal andMaterials Technology Center (MTEC), on National Science and Technology Development Agency (NSTDA), as Vice
Chairman : Technology Innovation Management Group, Thailand Management Association (TMA), and on International
Advisory committees, Department of Materials Science, Faculty of Science, Kasetsart University. Sample of his
Publication is “Process for preparing a novel superconductor with high density and hardness using heating steps andhigh pressure compacting”, Taylor; Jenifer (Almond, NY); Sainamthip; Prinya (North Brunswick, NJ); Dockery; David
F. (Alfred Station, NY) United State Patent 4971946.

5

Keynote Presentation
Wednesday – 11 Dec 2013, 11:45 - 12:30
Le Concorde Ballroom, Level 2
C.F. Jeff Wu
Coca-Cola Chair and Professor
Georgia Institute of Technology, USA

Quality Improvement: From Autos and Chips to Nano and Bio
Abstract

Quality improvement (QI) has a glorious history, starting from Shewhart’s path-breaking work on statistical processcontrol to Deming’s high-impact work on quality management. Statistical concepts and tools played a key role insuch work. As the applications became more sophisticated, elaborate statistical methods were required to tackle theproblems. In the last three decades, QI has seen more use of experimental design and analysis, particularly themethodology of robust parameter design (RPD). I will first review some major ideas in RPD, focusing on its
engineering origin and statistical methodology. I will then discuss more recent work that expands the original
approach, including the use of feedback control and operating window. To have an effective solution, the subject matterknowledge often needs to be incorporated. Techniques for fusing data with knowledge will be presented. For advanced
manufacturing and high-tech applications, there are new challenges and possible paradigm shift posed by three
features: large varieties, small volume and high added value. I will speculate on some new directions and technicaldevelopment. Throughout the talk, the ideas will be illustrated with real examples, ranging from the traditional (autos
and chips) to the modern (nano and bio).
(This talk is based on the 2012 Deming Lecture given during the JSM.)

Biography

C. F. Jeff Wu is Professor and Coca Cola Chair in Engineering Statistics at the School of Industrial and Systems
Engineering, Georgia Institute of Technology. He was elected a Member of the National Academy ofEngineering (2004), and a Member (Academician) of Academia Sinica (2000). A Fellow of the Institute of Mathematical
Statistics (1984), the American Statistical Association (1985), the American Society for Quality (2002), and the Institute forOperations Research and Management Sciences (2009). He was formerly the H. C. Carver Professor at the University ofMichigan, 1993-2003 and the GM/NSERC Chair in Quality and Productivity at the University of Waterloo in 1988-1993.
He also taught in the Statistics Department at the University of Wisconsin from 1977-1988. He got his BS in Mathematics
from National Taiwan University in 1971 and Ph.D. in Statistics from the University of California, Berkeley (1973-1976).
He received the COPSS (Committee of Presidents of Statistical Societies) Presidents’ Award in 1987, which was given
to the best researcher under the age of 40 per year and was commissioned by five statistical societies. His other awards
include the 2011 COPSS Fisher Lecture, the 2012 Deming Lecture, the Shewhart Medal (2008) from ASQ, the Pan
Wenyuan Technology Award (2008), the 1990 Wilcoxon Prize in Technometrics, the 1992 Brumbaugh Award by ASQ,
the 1997 and 2004 Jack Youden Prize in Technometrics, and the Honoree of the 2008 Quality and Productivity Research
Conference. He was the 1998 P. C. Mahalanobis Memorial Lecturer at the Indian Statistical Institutes and an Einstein
Visiting Professor at the Chinese Academy of Sciences in 2011. He received an honorary doctor (honoris causa) ofmathematics at the University of Waterloo in 2008.
Being listed as an “ISI Highly Cited Researcher”, his research work is widely cited in professional journals andmagazines. He has published more than 155 research articles in peer review journals and graduated 40 doctoral
students. He co-authors with Mike Hamada the book “Experiments: Planning, Analysis, and Optimization” (Wiley,
2nd Ed, 2009, 716 pages) and with R. Mukerjee the book “A Modern Theory of Factorial Designs” (Springer, 2006).

6Speaker Guides
ORAL PRESENTATION
1.

Determine Your Audio-Visual Needs
Each meeting room comes equipped with a computer, LCD projector and screen. The computers in the meetingrooms 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. For MAC-laptop users, please bring your own
VGA adapter cable.

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. Please discuss the same material as reported in your abstract submission.

3.

Create a Backup Copy of Your Presentation

4.

Give 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.
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. At the end of the meeting, all presentation files uploaded on the provided computers will be deleted.

POSTER PRESENTATION
Poster sessions will be located at Krisana of Level 2. Your assigned poster board will be marked with your Paper ID.
Please feel free to approach the help desk for assistance.
1.

Poster Display and Viewing
Wed – 11 Dec 13
Thu – 12 Dec 13
Poster Viewing from10:30 to 11:00 and 15:00 – 15:30

2.

Poster Set-up from 08:30 to 10:30
Poster tear down by 18:00 latest

Prepare Your Poster

Each presenter is provided with a 2.5 metre high by 1 metre wide poster board. Please discuss the same material asreported in your abstract submission. Vertical/Portrait format in A0 size is suggested. A0 Size Poster Measures: 841mm
width x 1189mm height.
••••

Place your Paper Title, Paper Title and Authors’ names prominently at the top of the poster to allow viewers to
identify your paper 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.
A successful poster presentation depends on how well you convey information to an interested (but not expert)
audience. You may wish to structure your poster by including the background of your research followed by results
and conclusions.

3.

Set Up Your Poster•

Your poster presentation time is as shown in the session schedule and the poster must be set up at least 10 to 30
minutes before your presentation.
Interactive forum is scheduled and presenters are required to be at their posters during poster viewing times.
Adhesive tapes and scissors are available at the Poster Help Desk, nearby the poster boards. If you have special
needs for your poster presentation, please bring those supplies with you to the meeting.

•
•
4.

•

Remove Your Poster

Posters must be removed immediately after the end of the scheduled presentation session. IEEM2013 will not be
responsible for posters and materials left on poster boards after the end of the session.

7

Daily Program
TIME

TUESDAY - 10 DECEMBER 2013

13:00 - 16:30

Bangkok Temples & City Tour (Advanced booking required)(Tour departs at 13:00 sharp. Please gather at Swissotel Le Concorde Lobby, Level 1 at 12:45 and present ticket to board bus.)

12:00 - 18:00

Registration Opens

15:30 - 17:30

High Tea Reception

18:00 - 21:30

Dinner Cruise by Traditional Rice Barge (Advanced booking required)(Tour departs at 18:00 sharp. Please gather at Swissotel Le Concorde Lobby, Level 1 at 17:45 and present ticket to board bus.)

WEDNESDAY - 11 DECEMBER 2013
08:00 - 08:50

Registration (Re-opens at 10:30 and closes 16:30)

09:00 - 12:30

Opening & Keynote Presentations, Le Concorde Ballroom, Level 2
Keynote Presentation: “Building and Rebuilding Universities through Engineering Education and Research”
Ghauth Jasmon, Vice-Chancellor, University of Malaya, Malaysia
Pg.4
Coffee/ Tea Break (10:30 - 11:00)
Keynote Presentation: “Innovation for Sustainability: SCG Perspective”
Prinya Sainamthip, Managing Director, Siam Research and Innovation, Co., Ltd. &SCG Cement Building Materials, Thailand
Pg.5
Keynote Presentation: “Quality Improvement: From Autos and Chips to Nano and Bio”
C.F. Jeff Wu, Coca-Cola Chair and Professor, Georgia Institute of Technology, USA
Pg.6

12:30 - 13:30

Lunch, Nilubon, Busakon and Sarocha Level 3

13:30 - 15:00

15:00 - 15:30

15:30 - 17:30

18:00 - 21:30

8

Salon A

Salon B

Rachavadee

TK 1
Technology & Knowledge
Management (1)
Pg.31

OR 1
Operations Research (1)
Pg.33

HF 1
Human Factors (1)Pg.35

Ubonchard

Jamjuree

Sakthong

SC 1
Supply Chain Management (1)
Pg.37

SI 1
Service Innovation& Management (1)
Pg.39

PP 1
Production Planning& Control (1)
Pg.41

Patumchard

Satabud

Boontarik

EE 1
Engineering Economy & Cost
Analysis (1)
Pg.43

EB 1
E-Business & E-Commerce (1)
Pg.45

SR 1
Safety, Security & Risk
Management (1)
Pg.47

Salon A

Salon B

Rachavadee

TK 2
Technology & Knowledge
Management (2)
Pg.32

OR 2
Operations Research (2)
Pg.34

DM 1
Decision Analysis& Methods (1)Pg.36

Ubonchard

Jamjuree

Sakthong

SC 2
Supply Chain Management (2)
Pg.38

QC 1
Quality Control& Management (1)
PG.40

SM 1
Systems Modeling& Simulation (1)Pg.42

Patumchard

Satabud

Boontarik

PM 1
Project Management (1)
Pg.44

RM 1
Reliability & MaintenanceEngineering (1)
Pg.46

GM
Global Manufacturing& Management
Pg.48

Krisana

Poster Session 1
Pg.49 - 51

Coffee/Tea Break, Krisana Level 2
Krisana

Poster Session 1
Pg.49 - 51

Chao Phraya Dinner Cruise(Tour departs at 18:00 sharp. Please gather at Swissotel Le Concorde Lobby, Level 1 at 17:45 and present ticket to board bus.)

Daily Program
08:00 - 16:30

Registration

THURSDAY - 12 DECEMBER 2013
Salon A

Rachavadee

HF 2
Human Factors (2)
Pg.56

SC 3
Supply Chain Management (3)
Pg.60

QC 2
Quality Control & Management (2)Pg.64

Sakthong

SM 2
Systems Modeling& Simulation (2)Pg.68

Patumchard

Jamjuree

09:00 - 10:30

Satabud

EB 2
E-Business & E-Commerce (2)Pg.76
10:30 - 11:00

Coffee/Tea Break, Krisana Level 2
Salon A

Rachavadee

Poster Session 2
Pg.84 - 86

RM 2
Reliability & MaintenanceEngineering (2)
Pg.77

SR 2
Safety, Security & Risk
Management (2)
Pg.81

Salon A

Salon B

Rachavadee

Krisana

Sakthong

Boontarik

Lunch, Nilubon, Busakon and Sarocha Level 3

Patumchard

TK 4
Technology & Knowledge
Management (4)
Pg.52

OR 3
Operations Research (3)
Pg.54

SC 5
Supply Chain Management (5)
Pg.62

HS 2
Healthcare Systems& Management (2)
Pg.66

PP 2
Production Planning& Control (2)
Pg.70

IP
Information Processing& Engineering
Pg.74

RM 3
Reliability & MaintenanceEngineering (3)
Pg.78

IS
Intelligent Systems
Pg.82

Salon A

Salon B

Rachavadee

Coffee/Tea Break, Krisana Level 2

Jamjuree

Satabud

DM 2
Decision Analysis& Methods (2)Pg.58
Sakthong

OR 4
Operations Research (4)
Pg.55

SC 6
Supply Chain Management (6)
Pg.63

SI 2
Service Innovation& Management (2)
Pg.67

PP 3
Production Planning& Control (3)
Pg.71

RM 4
Reliability & MaintenanceEngineering (4)
Pg.79

MS
Manufacturing Systems
Pg.83

Patumchard

FP
Facilities Planning & Management
Pg.75

Jamjuree

Satabud

Poster Session 2
Pg.84 - 86

Boontarik

TK 5
Technology & Knowledge
Management (5)Pg.53
Ubonchard

17:30 - 21:30

Krisana

TK 3
Technology & Knowledge
Management (3)
Pg.80

EE 2
Engineering Economy & Cost
Analysis (2)
Pg.73

Patumchard

15:30 - 17:30

Ubonchard

Boontarik

QC 3
Quality Control & Management
(3)
Pg.69

Ubonchard

15:00 - 15:30

Poster Session 2
Pg.84 - 86

HS 1
Healthcare Systems& Management (1)Pg.65
Satabud

13:30 - 15:00

PM 2
Project Management (2)
Pg.72

SC 4
Supply Chain Management (4)Pg.61

Jamjuree

12:30 - 13:30

KrisanaET
Engineering Education& Training
Pg.57

Meet-the-editor’s Panel
Organized & Chaired by M Xie

11:00 - 12:30

Ubonchard

NSF Panel on Partnerships
for Innovation
Organized by Roger Jiao &Chaired by Medina-Borja, Alexandra

DM 3
Decision Analysis& Methods (3)Pg.59

Krisana

Sakthong

Poster Session 2
Pg.84 - 86

Boontarik

Conference Banquet at Siam Niramit(Please gather at Swissotel Le Concorde Lobby, Level 1 at 17:30 and present ticket to board bus.)

9Conference Banquet

Dinner Buffet cum Siam Niramit Performance | Thursday, 12 December, 2013 (5.30PM to 9.30PM)
An extravagant show about the history of Thailand that involves stunning costumes, skillful dancers, entertaining music,
state-of-the-art techniques and cutting-edge light and sound system.

PROGRAM (Actual May Vary)
5:30 pm

Gather at hotel lobby on the ground floor for departure to the dinner venue

5:45 pm

Thai Style Dinner Buffet (Non-halal, Non-vegetarian)
Note: Vegetarian meals can be catered but will require advance order.
Please submit your request online at the time of registration

7:15 pm

Visit “Thai Village of the Four Regions” and get a real taste of Thai life in bygone times. Hereyou will see demonstrations of traditional Thai arts and crafts such as Thai silk weaving,
Batik painting, authentic Thai massage, the preparation of Thai desserts and outdoor
performance etc.

7:40 pm

Proceed to the Theatre (deposit camera and video recording)

8:00 pm

Siam Niramit performance, the must-see show of Thailand“Journey to the Enchanted Kingdom of Siam”• Scene 1: Faith... The Ancient Kingdom of Lanna• Scene 2: The South Sea... Traders from Overseas• Scene 3: Isaan... Heritage of the Khmer Civilization• Scene 4: The Mighty Capital... Ayutthaya“Journey Beyond Imagination: The Three Worlds”• Scene 1: Fiery Hell...
• Scene 2: Mystical Himapaan• Scene 3: Blissful Heaven...
“Journey Through Joyous Festivals”

9:30 pm

10Show ends
Depart Siam Niramit (Return to hotel)

Floor Plan
Level 2

Level 311

TK 1 Technology & Knowledge
Management (1)TK 2 Technology & Knowledge
Management (2)OR 1 Operations Research (1)12/11/2013 13:30 - 15:00
Room: Salon A

12/11/2013 15:30 - 17:30
Room: Salon A

12/11/2013 13:30 - 15:00
Room: Salon B

Chairs:Chairs:Chairs:

Tuomo Kassi
Susan Morton

Abstracts: see page 31

Business Management andMobile Experience

Riccardo Cognini, Roberto Gagliardi,
Alberto Polzonetti
University of Camerino, Italy

Organizational Innovation
through Knowledge Taxonomy
Model

Iwan Inrawan Wiratmadja1, Augustina
Asih Rumanti2, Trifenaus Prabu
Hidayat2
1
Bandung Institute of Technology, Indonesia
2
Atma Jaya Catholic University ofIndonesia, Indonesia

Research on the Strategy ofPatents Layout Basing on TRIZ
Hui Li, Runhua Tan, P. Jiang, H.G.
Zhang
Hebei University of Technology, China

Individual Tacit Knowledge for
Organization’s Competitive
Advantage

Augustina Asih Rumanti1, Iwan
Inrawan Wiratmadja2
1
Atma Jaya Catholic University ofIndonesia, Indonesia
2
Bandung Institute of Technology, Indonesia

Fostering Interdisciplinary
Integration in Engineering
Management

Tobias Vaegs, Inna Zimmer, Stefan
Schröder, Ingo Leisten, R. Vossen,
Sabina Jeschke
RWTH Aachen University, Germany

Organizational Culture,
Inter-organizational Learning
Ability and Innovation
Performance of the Technology
Alliance of Small and Medium
Enterprises

Xiaodi Zhang1, Zhanxing Zheng2, Kexin
Huang1, Ping Wang1
1
Northwestern Polytechnical University,
China
2
AVIC Shaanxi Aircraft Industry(Group)
Corporation Ltd, China

12

Roula Michaelides
R. Kant

Abstracts: see page 32

The Impact of Shukko(Employee Transfers) withinGroup Companies on the
Capability and Speed ofPromotion of Engineers
Hideki Shimizu-Tanaka, Yoshifumi
NakataDoshisha University, Japan

Intrinsic Motivation andCreative Behavior: ModeratingRole of Active Efforts
Sayaka Shinohara, Tetsushi Fujimoto,
Hideki Shimizu-Tanaka, Yoshifumi
NakataDoshisha University, Japan

Technology Transfer Portals: A
Design Model for Supporting
Technology Transfer via Social
Software Solutions
Günther Schuh1, Susanne Aghassi2
1
RWTH Aachen University, Germany
2
Fraunhofer Institute for Production
Technology IPT, Germany

Comparison of Indicators to
Detect Emerging Researches
using Time Transition in
Quasicrystals

Shino Iwami1, Junichiro Mori1, Yuya
Kajikawa2, Ichiro Sakata1
1
The University of Tokyo, Japan
2
Tokyo Institute of Technology, Japan

Identity Management for theRequirements of theInformation Security
Mirley Ferreira, Kelly Alonso
Fluminense Federal University, Brazil

Knowledge Management in the
Chinese Local Beer Market: A
Case Study
Jiageng Duan, Nachiappan
Subramanian, Muhammad
Abdulrahman
The University of Nottingham, China

Mohamed K. Omar
Amir Azaron

Abstracts: see page 33

Mathematical Modeling ofCo2e Emissions in One-to-one
Pickup and Delivery Problems
Emrah Demir, Tom Van Woensel
Technology University of Eindhoven,
Netherlands

G/G/1 Models for a Single
Machine under Different Typesof Interruptions
Kan Wu1, Ning Zhao2
1
Georgia Tech, United States
2
Kunming University of Science andTechnology, China

Improving Productivity of theSMEs in Singapore – Case
Studies
Aloysious Lee, Roland Lim, Bin Ma,
Laura Xiao Xia Xu
Singapore Institute of Manufacturing
Technology, Singapore

A Note on Computing the Exact
Probability Distribution of the
Project Completion Time in a
Stochastic PERT Network
Zdzisław Milian
Cracow University of Technology, Poland

A Bi-level Model for
Resource-Constrained Multiple
Project Scheduling Problems
Zhe Zhang1, Yang Wang2
1
Nanjing University of Science andTechnology, China
2
Sichuan University, China

A Novel Multi-Objective Fuzzy
Mathematical Model for
Designing a Sustainable
Supply Chain Network
Considering Outsourcing Risk
under Uncertainty

Firoozi Mehdi1, Ali Siadat1, Nima
Salehi2, S. M. Mousavi2
1
Arts et Métier Paris Tech, France
2
University of Tehran, Iran12

OR 2 Operations Research (2)HF 1 Human Factors (1)DM 1 Decision Analysis & Methods(1)

12/11/2013 15:30 - 17:30
Room: Salon B

12/11/2013 13:30 - 15:00
Room: Rachavadee

12/11/2013 15:30 - 17:30
Room: Rachavadee

Chairs:Chairs:Chairs:Kiyoshi Sawada
Ning Zhao

Abstracts: see page 34

An Improved Heuristic
Algorithm for the Special Caseof the Set Covering Problem

Amnon Gonen, Tzhi Avrahami, Uriel
Israeli
HIT - Holon Institute of Technology, Israel

Efficiency Improvement inExplicit Enumeration for
Integer Programming Problems
Shin-Guang Chen
Tungnan University, Taiwan

A New Methodology for
Solving Multi-Objective
Stochastic Optimization
Problems with Independent
Objective Functions

Saltuk Selcuklu1, David Coit1, Frank
Felder1, Mark Rodgers1, Naruemon
Wattanapongsakorn2
1
Rutgers University, United States
2
King Mongkut's University of Technology
Thonburi, Thailand

Optimal Pricing and Inventory
Policy with Delayed Payments
and Order Cancelations

Jie Zhang1, Baozhuang Niu2
1
Guangdong University of Finance andEconomics, China
2
Lingnan College, Sun Yat-sen University,
China

Optimal Scheduling Problem
for Taiwan Post Office Counters
and Manpower
Gwo-Liang Liao, Wen-Hsin Chiang
National Taitung University, Taiwan

Modeling and Solution of
Practical Airline Crew
Scheduling Problems

Yu Iijima1, Tatsushi Nishi1, Masahiro
Inuiguchi1, Satoru Takahashi2, Kenji
Ueda2, Keiji Ojima3
1
Osaka University, Japan2
Mitsubishi Electric Corporation, Japan3
Mitsubishi Electric Information Systems
Corporation, Japan

13

Myung Hwan Yun
Kai-way Li

Abstracts: see page 35

Knowing What a User Likes:
Mobiquitous Home with NFC
Smartphone

Teh Pei-Lee1, Ahmed Pervaiz Khalid1,
Soon-Nyean Cheong2, Alan H.S. Chan3,
Wen-Jiun Yap2
1
Monash University, Malaysia
2
Multimedia University, Malaysia
3City University of Hong Kong, Hong Kong
SAR

Anthropometric Measures andStatic Muscular Strengths for
Youths Males and Females
Kai-Way Li, Chao-Cheng Su, Szu-Yin
Huang
Chung Hua University, Taiwan

Relationship between
Floor-type Gait Adaptations
and Required Coefficient ofFriction

Kai-Way Li, Szu Yin Huang, Chien Wen
Wang
Chung Hua University, Taiwan

Subjective Rating of Floor
Slipperiness & Slip/Fall
Outcomes in a Gait Experiment
Kai-Way Li, Chien Wen Wang, Szu-Yin
Huang
Chung Hua University, Taiwan

Quantification of Human Error
Rate in Underground Coal
Mines - A Fuzzy Mapping andRough Set Based Approach

Suprakash Gupta, Pramod Kumar,
Netai Chandra Karmakar, Sanjay
Kumar Palei
Indian Institute of Technology (BHU), India

A Case Study Evaluating the
Impact of Human Behavior on a
Manufacturing Process In-linewith Automatic Processes by
Means of a Simulation Model

Ana Eduarda Sa Silva1, Michael
Donauer1, Americo Azevedo1, Paulo
Peças2, Elsa Henriques2
1
University of Porto, Portugal
2
Instituto Superior Técnico, Portugal

Yves De SmetNaragain Phumchusri

Abstracts: see page 36

Leadership Selection,
Punishment Salience andCooperation

Yanmei Li1, Miao Chao2
1
Chinese Academy of Sciences, China
2
University of Chinese Academy of Sciences,
China

Efficiency and Productivity
Growth of Technology-Based
Firms in Business Incubators: A
DEA and Malmquist Index
Approach
José Santos, Antonio Grilo
Universidade Nova de Lisboa, Portugal

A Decision Analysis for the
Dynamic Crop Rotation Modelwith Markov Process's Concept
Tyrone T. Lin, Chung-Hsiao Hsieh
National Dong Hwa University, Taiwan

A New Version of 2-Tuple
Fuzzy Linguistic Screening
Evaluation Model in New
Product Development

Wen-tao Guo, Van-Nam Huynh
Japan Advanced Institute of Science andTechnology, JapanThe Position of Sustainable
Corporate Social Responsibility
in the Process of Creating
Sustainable Prosperity in theEuropean Union
Oliver Moravcik, Lubomir Smida, Peter
Sakal
Slovak University of Technology, Slovakia(Slovak Republic)

Evaluating and Benchmarking
Operational Performance of
Manufacturing Facilities in
Networks of Multinational
Corporations

Alireza Tavakoli, Marco Biesen
Fraunhofer Institute for Material Flow andLogistics, Germany13

SC 1 Supply Chain Management (1)SC 2 Supply Chain Management (2)SI 1 Service Innovation &Management (1)12/11/2013 13:30 - 15:00
Room: Ubonchard

12/11/2013 15:30 - 17:30
Room: Ubonchard

12/11/2013 13:30 - 15:00
Room: Jamjuree

Chairs:Chairs:Chairs:Gaurav Tejpal
Loganathan Ponnambalam

Abstracts: see page 37

Abstracts: see page 38

Han Tong Loh
Alexandra Medina-Borja

Abstracts: see page 39

Optimization of Forest Vehicle
Routing Using Reactive Tabu
Search Metaheuristic

Time-phasing and Decoupling
Points as Analytical Tools forPurchasing

Service Performance Evaluation
using Fuzzy Semantic
Extraction of On-line Reviews

An Inoperability Input-output
Model (IIM) for Disruption
Propagation Analysis

An Integration of AHP
Approach and Bayes
Classification Algorithm in
Supplier Selection

Investigation of Team
Composition and Task-related
Conflict as Determinants ofEngineering Service
Productivity

Optimal Pricing and Returns
Policies for Innovative Productswith the One-Shot Decision
TheoryThe Service Science Practical
Research of the BEST Model:
The C telco’s IPTV Service in
Taiwan as the Example

Moussa Bagayoko1, Thien-My Dao1,
Bathelemy-Hugues Ateme-Nguema2
1
École de technologie supérieure, Canada
2
Université du Québec en
Abitibi-Témiscamingue (UQAT), Canada

Chin Sheng Tan1, Puay Siew Tan1, Siang
Guan Lee2, Manh Tung Pham1
1
Singapore Institute of Manufacturing
Technology, Singapore
2
Nanyang Technological University,
Singapore

Improvement to the Freight
Management of ITAR
Controlled Items using Lean
Six Sigma

Kin Meng Wong , Tony Halim , Yan
Weng Tan1
1
SIM University, Singapore
2
Temasek Polytechnic, Singapore
12

Performance Measurement of a
Dairy Supply Chain: A Balance
Scorecard Perspective

Gyan Prakash1, Rakesh Pant2
1
Indian Institute of Information Technology
and Management Gwalior, India
2
Aligarh Muslim University, India

Modeling Supply Risk using
Belief Networks: A Processwith Application to theDistribution of Medicine

Kanogkan Leerojanaprapa, Robert van
der Meer, Lesley Walls
University of Strathclyde, United Kingdom

Social Media for Supply Chain
Risk Management
Xiuju Fu, Rick Siow Mong Goh, Joo
Chuan Tong, Loganathan
Ponnambalam, Xiao Feng Yin, Zhaoxia
Wang, Haiyan Xu, Sifei Lu
Institute of High Performance Computing,Singapore

14

Jui-Sheng Chou
Regena Scott

Jenny Backstrand1, Joakim Wikner2
1
Jonkoping University, Sweden
2
Jonkoping University/Linköping
University, Sweden

Felix Chan, Nick Chung, Jenny Chow,
Ben Niu
The Hong Kong Polytechnic University,
Hong Kong SAR

X. Ma, Peijun Guo
Yokohama National University, Japan

Barriers to Green Supply Chain
Implementation in theElectronics Industry
Sorraya Khiewnavawongsa1, Edie
Schmidt2
1
Chiang Mai University, Thailand
2
Purdue University, United States

An EOQ Model with
Consideration of Second-Trip
In-Store Replenishment
Vatcharapol Sukhotu1, Supachart
Iamratanakul2
1
Asian Institute of Technology, Thailand
2
Kasetsart University, Thailand

Prioritizing Lean Supply Chain
Management Initiatives in
Healthcare Service Operations:
A Fuzzy-AHP Approach

Tritos Laosirihongthong , Premaratne
Samaranayake2, Dotun Adebanjo3
1
Thammasat University, Thailand
2
University of Western Sydney, Australia
3
University of Greenwich, United Kingdom
1

A. Medina-Borja, M. Carrasco
University of Puerto Rico at Mayaguez,
Puerto Rico

Philipp M. Przybysz, Soenke Duckwitz,
Susanne Mütze-Niewöhner,
Christopher M. Schlick
RWTH Aachen University, Germany

Hung Chih Lai1, Yao Cheng Yu2, Kae
Kuen Hu2, Chien-Ming Tung2
1
Shih Chien University, Taiwan
2
National Taiwan University, Taiwan

Influencing Factors on the
Productivity ofKnowledge-intensive Services

Robert Stranzenbach1, Alexander
Rannacher1, Flavius Sturm2, Susanne
Mütze-Niewöhner1
1
RWTH Aachen University, Germany
2
University of Stuttgart, Germany

Design Driven Product-Service
Innovation in Manufacturing
David Opresnik, Christian Zanetti,
Marco TaischPolitecnico di Milano, Italy

Service Performance
Assessment and GovernanceMarco Taisch1, Mohammadreza
Heydari Alamdari1, Christian Zanetti1,
Margherita Peruzzini2
1
Politecnico di Milano, Italy
2
Indesit Company, Italy

14

QC 1 Quality Control & Management (1)PP 1 Production Planning & Control(1)

SM 1 Systems Modeling & Simulation(1)

12/11/2013 15:30 - 17:30
Room: Jamjuree

12/11/2013 13:30 - 15:00
Room: Sakthong

12/11/2013 15:30 - 17:30
Room: Sakthong

Chairs:Chairs:Chairs:Henrik Eriksson
Nachiappan Subramanian

Abstracts: see page 40

Detecting High Incidence byUsing Variable Scan Radius
Chen-ju Lin, Yi-chun Shu
Yuan Ze University, Taiwan

Application of Six Sigma
Methodology for a
Manufacturing Cell- A CaseStudy
Vijaya Kumar, V Prashant, K N
Subramanya, N S Narahari
R.V.College of Engineering, India

Prediction of Energy
Consumption Indices in the
Automotive Industry

Antonio Almeida1, Americo Azevedo2,
Alvaro Caldas3
1
INESC Porto / University of Porto,
Portugal2
University of Porto, Portugal
3
INESC Porto, Portugal

A Mathematical Framework for
Parameter Designing Under the
Noise: A Case Study from a
Conventional Turning Machine
R.M. Chandima Ratnayake
University of Stavanger, Norway

Who Needs to Learn What from
Whom? Understanding Quality
Management by Differentiating
Organisations and Practices

Henrik Eriksson
Chalmers University of Technology, Sweden

A Conceptual Readiness
Framework for Statistical
Process Control (SPC)
Deployment

Sarina Abdul Halim Lim, Jiju Antony
University of Strathclyde, United Kingdom

Suksan Prombanpong
Shijin Wang

Abstracts: see page 41

A Fuzzy-based Multi-Term
Genetic Algorithm forReentrant Flow Shop
Scheduling Problem

I-Hsuan Huang, Shigeru Fujimura
Waseda University, Japan

Linda Zhang
Balkrishna Eknath Narkhede

Abstracts: see page 42

Automatic Planning of
GPON/FTTH Networks Basedon Lagrangian Heuristic
Optimization

Seng Fat Wong, Yi Zheng
University of Macau, Macau

Ling Cen1, Kin Poon1, Zhuliang Yu2,
Anis Ouali1
1
Etisalat British Telecom Innovation Centre,
Khalifa University of Science, Technology
And Research, United Arab Emirates
2South China University of Technology,
China

Concept of an Intelligent
Production Control for Global
Manufacturing in Dynamic
Environments Based on
Rescheduling

Concept for an
Integration-framework to
Enable the Crossdisciplinary
Development of
Product-service Systems

The Effect of Metal Noise
Factor to RFID Location System

Gisela Lanza, Nicole Stricker, Raphael
Moser
Karlsruhe Institute of Technology, Germany

The Effectiveness Evaluation of
Job-shop Scheduling based on
Theory of Constraints (TOC)
Under Demand Variation
Chompoonoot Kasemset, Uttapol
Smutkupt, Nichchima Anongjanya
Chiang Mai University, Thailand

Task and Worker Assignment in
the Shared-Machine U-Shaped
Assembly Line
Pattarawan Khemyong, Ronnachai
Sirovetnukul
Mahidol University, Thailand

Investigation of theInformation Generated byTechnology Management Tools
and Links to Strategic Product
Planning Stages
Alexander U. Reik, Moritz King, Udo
Lindemann
Technische Universität München (TUM),
Germany

Konstantin Kernschmidt1, Thomas
Wolfenstetter1, Christopher Münzberg1,
Daniel Kammerl1, Suparna Goswami1,
Udo Lindemann2, Helmut Krcmar1,
Birgit Vogel-Heuser1
1
Technische Universität München,
Germany
2Technische Universität München (TUM),
Germany

Functional Analysis andModeling of Complex,
Evolutionary Grown,
Mechatronic Products

Michael Roth1, Daniel Kasperek1, Udo
Lindemann2
1Technische Universität München,
Germany
2Technische Universität München (TUM),
Germany

Using DSM and MDM
Methodologies to Analyze
Structural SysML Models

Sebastian Maisenbacher, Konstantin
Kernschmidt, Daniel Kasperek, Birgit
Vogel-Heuser, Maik Maurer
Technische Universität München, Germany

Identifying Signs of Systems
Fragility: A Crowdsourcing
Requirements Case Study

Attila-Peter Toth, Davor Svetinovic
Masdar Institute of Science and Technology,
United Arab Emirates

Determining Optimal Zone
Boundaries for
Three-Class-Based
Puzzle-Based Compact Storage
Systems
Linda Zhang1, Yugang YU2, Li Zhang2
1
Catholic University of Lille, France
2
The University of Science and Technology
of China, China

1515

EE 1 Engineering Economy & Cost
Analysis (1)PM 1 Project Management (1)EB 1 E-Business & E-Commerce (1)12/11/2013 13:30 - 15:00
Room: Patumchard

12/11/2013 15:30 - 17:30
Room: Patumchard

12/11/2013 13:30 - 15:00
Room: Satabud

Chairs:Chairs:Chairs:Md. Mamun Habib

Abstracts: see page 43

The Cost and Benefit Analysis
of Taiwan High Speed Railway- With Sustainable Perspectives
Hsiao-min Chuang1, Chihpeng Chu2
1
Taiwan Hospitality & Tourism College,
Taiwan2
National Dong Hwa University, Taiwan

Reducing Investment Costs in
Multi-Variant Mass Production

Achim Kampker, Heiner Hans Heimes,
Stefan Bickert, Timon Rodenhauser
Laboratory for Machine Tools andProduction Engineering (WZL), RWTH
Aachen University, Germany

Considerations for
Commoditization Factors in
Flat-Screen TV Industry

Hirotoshi Uehara1, Yusuke Makino2,
Hiroyuki Nagano3, Keisuke Uenishi4,
Shuichi Ishida5
1Panasonic Corporation, Japan
2
Chubu Electric Power Co., Inc, Japan
3
University of Hyogo, Japan
4
Osaka University, Japan
5
Ritsumeikan University, JapanA Parametric Cost Estimation
Model to Develop Prototype ofElectric Vehicle based on
Activity-Based Costing
Rakhman Ardiansyah, Wahyudi
Sutopo, Muhammad Nizam
Sebelas Maret University, Indonesia

Software Test Estimation Tools
using Use Cases and Functions
Shaiful Islam, Bishwajit Banik Pathik,Manzur H. Khan, Md. Mamun Habib
American International University Bangladesh (AIUB), Bangladesh

Leon Pretorius
Egon Mueller

Abstracts: see page 44

Michel Aldanondo
Antonio Grilo

Abstracts: see page 45

Optimal Scheduling ofWork-Content-Constrained
Projects

Internet Usage Trend and Postal
Service Performance inAustralia

Solving a New Mixed Integer
Non-linear Programming
Model of the Multi-Skilled
Project Scheduling Problem
Considering Learning andForgetting Effect on the
Employee Efficiency

Measuring the Performance ofViral Marketing based on the
Dynamic Behavior of Social
Networks

Philipp Baumann, Norbert Trautmann
University of Bern, Switzerland

Sung Shim1, Arun Kumar2, Hasan
Hakami2
1
Seton Hall University, United States
2
Royal Melbourne Institute of Technology(RMIT), Australia

Erfan Mehmanchi, Shahram Shadrokh
Sharif University of Technology, Iran

Atikhom Siri, Trasapong Thaiupathump
Chiang Mai University, Thailand

An Empirical Study of Critical
Success Factors of Project
Governance in China

Mobile Stock Trading (MST)
and its Social Impact: A Case
Study in Hong Kong

Elimination of Waste ThroughValue Add/Non Value Add
Process Analysis To Improve
Cost Productivity in
Manufacturing - A Case Study

How Sense Qualities Influence
User Preference of E-commerce
WebsiteWenwen Xiang, Ying Li, Yongyi Shou
Zhejiang University, China

Kam-Choi Ng1, Chun Pei Lim1, Kuan
Eng Chong2, Gerald Guan Gan Goh3
1
Infineon Technologies, Malaysia
2Technical University Malaysia, Malaysia
3
Multimedia University, Malaysia

Schedule Risk Analysis inConstruction Project Using
RFMEA and Bayesian
Networks: the Cali-colombia
Case Study

Camilo Andres Mican Rincon1, Víctor
Javier Jimenez1, Jessica Perez2,
Alejandro Borrero3
1
Universidad del Valle, Colombia
2
Vatia, Colombia
3
Coomeva, Colombia

Fuzzy Decision Model for
Construction Contractor`s
Selection in Egypt: Tender
Phase

Kin Meng Sam1, Chris Chatwin2, Iat
Cheng Ma1
1
University of Macau, China
2
University of Sussex, United Kingdom

Dunxing Wang1, Junxiu Zhang2
1
Tsinghua University, China
2
Northeastern University, China

Research on Product Common
Attribute Model with
Consumption Value Theory
Applied in Food industry

Tsung-Yi Chen1, Yan-Chen Liu2,
Yuh-Min Chen2
1
Nanhua University, Taiwan
2
National Cheng Kung University, Taiwan

Incorporating Location,
Routing and Inventory
Decisions in Dual Sales
Channel - A Hybrid Genetic
Approach
Chia-lin Hsieh1, Shu-hsien Liao2,
Wei-chung Ho2
1
Aletheia University, Taiwan
2
Tamkang University, Taiwan

Hossam Hassaan, Nashaat Fors,
Mostafa Shehata
University of Alexandria, Egypt

16

16

RM 1 Reliability & MaintenanceEngineering (1)SR 1 Safety, Security & Risk
Management (1)GM Global Manufacturing &Management

12/11/2013 15:30 - 17:30
Room: Satabud

12/11/2013 13:30 - 15:00
Room: Boontarik

12/11/2013 15:30 - 17:30
Room: Boontarik

Chairs:Chairs:Chairs:David Coit
Yoshinobu Tamura

Abstracts: see page 46

Product Support Logistics
Based on System Reliability
Characteristics and Operating
Environment

Behzad Ghodrati, Alireza AhmadiLuleå University of Technology, Sweden

Reliability Analysis Based on
Network Traffic for a Mobile
ComputingYoshinobu Tamura1, Shigeru Yamada2
1
Yamaguchi University, Japan2
Tottori University, Japan

Interval Estimations ofSoftware Reliability and
Optimal Release Time Based on
Better Bootstrap ConfidenceIntervals
Shinji Inoue, Shigeru Yamada
Tottori University, Japan

Production Reliability
Evaluation of Continuum-State
Manufacturing System Basedon Universal Generating
Function
Fen Kuang, Wei Dai, Yu Zhao
Beihang University, China

Multi-Response Surface
Optimization Using Axiomatic
DesignVijay Rathod1, Om Prakash Yadav2, Ajay
Pal Singh Rathore3
1
Government Polytechnic Mumbai, India
2
North Dakota State University, UnitedStates3
Malaviya National Institute of Technology,
India

Accelerated Life Tests for Data
Acquisition Devices used in
Smart Grids

Lijuan Shen1, Xuan Liu1, Zhi-Sheng Ye2
1
China Electric Power Research Institute,
China
2
The Hong Kong Polytechnic University,
Hong Kong SAR

17

Paolo Trucco
Xiuzhu Gu

Abstracts: see page 47

Resilience of Transport Systems
Under Disaster:
Simulation-based Analysis of2011 Tsunami in Japan
Paolo Trucco1, Nobuaki Minato2, Nicola
Careri1
1
Politecnico di Milano, Italy
2
Keio University, Japan

A Study of Semiconductor
Industry Accidents: Making
Predictions Based on BP
Artificial Neural Networks

Chao Liu, Hsuan Peichen, Wu Jianping
Semiconductor Manufacture International
Corporation, China

Estimating Reporting Culture
and Its Link to Safety
Performance by Applying
Hemodialysis Error Taxonomy

Yan-Ru Li

Abstracts: see page 48

The Use of Improvement Tools:a Comparison Between Sectors
and Industries

Dotun Adebanjo1, Matthew Tickle2,
Frank Ojadi3, Robin Mann4
1
University of Greenwich, United Kingdom
2
University of Liverpool, United Kingdom
3
University of Lagos, Nigeria
4
Massey University, New Zealand

The Impact of Absorptive
Capacity on Post-Acquisition
Financial Performance: The
European ICT Data

Mait Rungi, Valeria Stulova
Tallinn University of Technology, Estonia

Efficient Optimization
Methods for Extended Flow
Path Design

Xiuzhu Gu, Kenji Itoh
Tokyo Institute of Technology, Japan

Julie Rubaszewski1, Alice Yalaoui1,
Lionel Amodeo1, Sylvain Fuchs2
1
Universite de Technologie de Troyes, France
2
ANDRA, France

Risk Profiling in AsymmetricWarfare through Intelligent
Analysis of Images and Neural
Networks

Motivations and Criteria forPartner Selection in Innovation
Alliance

Prem K Kalra, Rajkumar Vishwakarma
Indian Institute of Technology Delhi, India

Merging Habitus into Safety
Risk Management: A Case fromthe U.S. Construction Industry
Dong Zhao
Virginia Tech, United States

Relationship Between Working
Postures and MSD in Different
Body Regions Among
Electronics Assembly Workers
in Malaysia

Roseni Abdul Aziz1, Mat Rebi Abdul
Rani2, Jafri Mohd Rohani2, Ademola
James Adeyemi2, Nurlyana Omar1
1
National Institute of Occupational Safety
and Health (NIOSH), Malaysia
2
Universiti Teknologi Malaysia, Malaysia

Xiao-li Chen, Ralph Riedel, Egon
Mueller
Chemnitz University of Technology,
Germany

Industry Clusters and Business
Ecosystems- The Smart Mobile
Industry in Taiwan
Yan-Ru Li, Wen-Zhe Yang
Aletheia University, Taiwan

Linkages Influencing
NPD-SCM Alignment Evidence from Indian
Automotive Industry

Ankur Pareek1, Ajay Pal Singh Rathore2,
Rakesh Jain2
1
Government Engineering College, Ajmer,
India
2
Malaviya National Institute of Technology,
India

17

Poster Session 1

p.50

12/11/2013 15:00 - 15:30
Room: Krisana
p.49

Comparison of thePredetermined Time Systems
MTM-1 and BasicMOST in
Assembly Production

Cyclic Production for Robotic
Cells Served by Multi-function
Robots with Resumable
Processing Regime

p.50

p.50

p.49

p.49

p.50

Load Forecasting Assessment
using SARIMA Model andFuzzy Inductive Reasoning

Nestor Gonzalez Cabrera1, Guillermo
Gutierrez2, Esteban Gil3
1
Instituto Tecnológico Superior de
Irapuato, Mexico
2
Instituto Tecnológico de Morelia, Mexico
3
Universidad Técnica Federico Santa
Maria, Chile

The Evaluation Model for
Cooperate Social
Responsibility from a
Management Flexibility
Perspective

p.50

p.49

p.50

p.50

A Study On The Statistical
Comparison Methods forEngineering Applications

The Research of Online
Shopping Evaluation Based on
Grey Linguistic Multiple
Criteria Decision Making
SystemA Fuzzy Simulated Evolution
Algorithm for Multi-Objective
Homecare Worker Scheduling
Michael Mutingi, Charles Mbohwa
University of Johannesburg, South Africa

p.50

Reliable Cooperative andBackup Covering in Disaster
Situations

Ladan Hazrati Ashtiani1, Mehdi
Seifbarghy1, Mahdi Bashiri2
1
Alzahra University, Iran
2
Shahed University, Iran18

Mehran Doulatabadi, Sha'ri Mohd
Yusof, Farhad Nejadi
Universiti Teknologi Malaysia, Malaysia

Enhanced Viability in
Organizations: An Approach to
Expanding the Requirementsof the Viable System Model

Deadlock Avoidance Policy for
Dual-armed Multi-cluster
Tools with Multi-flow

An Additive Manufacturing
Resource Process Model for
Product Family Design

Simulation of Supplier Manufacturer Relationship
Model for Securing
Availability of Teak Log in
Furniture Industry with
Sustainability Consideration

Dyah Nurrahmawati Eka Putri1,
Muhammad Hisjam1, Wahyudi
Sutopo1, Kuncoro Harto Widodo2
1
Sebelas Maret University, Indonesia
2
Gajah Mada University, Indonesia

p.51

Zhifeng Li1, Liyi Zhang2
1
Wuhan University, China
2
Guangdong University of Finance andEconomics, China

p.49

The “Soft” Obstacles to
Quality Excellence Practices:
Evidence from the United ArabEmirates Industries

Ningrong Lei1, Seung Ki Moon1,
Guijun Bi2
1
Nanyang Technological University,
Singapore
2
Singapore Institute of Manufacturing
Technology, Singapore

Serena Ji, Randy Kang, Lisa Yu,
Weiting Kary Chien
Semiconductor Manufacturing
International Corporation, China

p.49

p.51

Yushin Watanabe, Tatsushi Nishi
Osaka University, JapanA Green Logistics Evaluation
Model with Real Options
Approach

Tyrone T. Lin, Yu-Shyuan Lu
National Dong Hwa University, Taiwan

Namtip Sakulngam, Sukree
Sinthupinyo, Natcha
Thawesaengskulthai, Supol
Durongwatana
Chulalongkorn University, Thailand

Fatos Elezi1, Michael Schmidt1, Iris
Tommelein2, Udo Lindemann1
1Technische Universität München,
Germany
2
University of California, United States

Tyrone T. Lin, Tai-Chi Huang
National Dong Hwa University, Taiwan

p.49

Simulation of Departure
Terminal in Soekarno-Hatta
International Airport

A Study of Tourism Promotion
Factors Affecting Tourists'
Demand in Thailand

Dimas Novrisal1, Nuraida Wahyuni2,
Nadia Hamani2, Abderrahman
Elmhamedi3, Tresna Soemardi4
1
Université de Paris 8, France, Universityof Mercubuana, Indonesia
2
Université de Picardie Jules Verne, France
3
Université de Paris 8, France
4
University of Indonesia, Indonesia

Study on Design Change
Review for Small andMedium-sized Enterprises

Xiaonan Yu, Zhibing Yang, Guoxin
Wang, Jiping Lu
Beijing Institute of Technology, China

Model-Following Controller
Design based on a Stabilized
Digital Inverse System
Ryo Tanaka, Hiroki Shibasaki,
Hiromitsu Ogawa, Takahiro
Murakami, Yoshihisa Ishida
Meiji University, Japan

Mehdi Foumani, Yousef Ibrahim, Indra
GunawanMonash University, Australia

p.49

p.51

Mariagrazia Di Dio, Raffaele Iannnone,
Salvatore Miranda, Stefano Riemma
University of Salerno, Italy

Marek Bures1, Pavlina Pivodova2
1
University of West Bohemia, Czech
Republic
2
Tomas Bata University, Czech Republicp.49

A Framework for the Choice of
the Opportunistic
Maintenance Policy inIndustrial Contexts

Risk Sources and Their
Influences on Consumers’
Purchase Intention: A Researchon Online Catering Group
BuyingShao-Hua Wang1, Yi Wen Chen2, Xi
Chen1
1Chinese Academy of Sciences, Universityof Chinese Academy of Science, China
2
Chinese Academy of Sciences, China

p.51

Trade-In Concept for theEnvironment

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

p.51

Innovation in Family-owned
Food Companies in Japan

Yasuaki Yamasaki1, Kiminori Gemba2
1
Ritsumeikan University Graduate Schoolof Technology Management, Japan
2
Ritsumeikan University, Japan18

TK 4 Technology & Knowledge
Management (4)TK 5 Technology & Knowledge
Management (5)OR 3 Operations Research (3)12/12/2013 13:30 - 15:00
Room: Salon A

12/12/2013 15:30 - 17:30
Room: Salon A

12/12/2013 13:30 - 15:00
Room: Salon B

Chairs:Chairs:Chairs:Ville Ojanen
Foo Say Wei

Abstracts: see page 52

Perfect Interaction:
Facilitating Evaluation ofCollaborative Technologies forUser Engagement inEngineering Innovation
Networks
Roula Michaelides1, Susan Morton2
1
The University of Liverpool, United
Kingdom
2
Loughborough University, United
Kingdom

Universities Coping in the
Changing Environment: Case
LUT CST
Matti Karvonen, Vesa Karvonen, Jyri
Vilko, Tuomo Kässi
Lappeenranta University of Technology,
Finland

Drilling Waste Handling andManagement in the High North
Yonas Zewdu Ayele, Abbas Barabadi,
Javad Barabady
University of Tromsø, Norway

Forecasting the Success ofKnowledge Management
Adoption in Supply Chain

Sachin Patil, R. Kant
Sardar Vallabhbhai National Institute ofTechnology, India

Configuration of High
Performance Apartment
Buildings Renovation: A
Constraint Based Approach

Elise Vareilles1, Andrés Felipe Barco
Santa2, Marie Falcon3, Michel
Aldanondo1, Paul Gaborit1
1
University of Toulouse, France,
Metropolitan
2
Pontificia Universidad Javeriana, Colombia
3
TBC Générateur d'Innovation, France

Product Data Management andSheet Metal Features – Sheet
Metal Part Recognition for an
Easier Designing Process
Producing
Manufacture-friendly Products

Dotun Adebanjo
Pei-Lee Teh

Abstracts: see page 53

Commercialization of Early
Stage University-based
Inventions

Matti Karvonen1, Rahul Kapoor1, Ville
Ojanen1, Jussi Heinimö1, Hannu
Tervonen21Lappeenranta University of Technology,
Finland2
Technology Business Research Center,
FinlandResearch on Radical Innovation
Design Process on the Stage of
Fuzzy Front End by TRIZ
Enshun Ping, Runhua Tan, JianguangSun, Lizhen Jia
Hebei University of Technology, China

Patent Portfolio Analysis Using
Citation Categories
Rahul Kapoor, Samira Ranaei, Matti
Karvonen, Tuomo Kässi
Lappeenranta University of Technology,
Finland

Agility of Capability
Development: The
Multiple-Case Study ofEricsson, Google, Microsoft andNokia
Alar Kolk1, Mait Rungi2
1
Aalto University, Finland
2
Tallinn University of Technology, Estonia

Enhancing NPD Operational
Performance Through B2B andB2C Customer Involvement for
Varying Degrees of Product
Technology
Dinush Wimalachandra, Bjoern Frank,
Takao Enkawa
Tokyo Institute of Technology, Japan

Knowledge Capitalization and
Synthesis for Integrated Circuit
Manufacturing in Thailand
Suthep Butdee, Varavut Hirunyasiri
King Mongkut’s University of Technology
North Bangkok, Thailand

Ali Siadat
Shin-Guang Chen

Abstracts: see page 54

A Note on Dynamic
Programming Formulations for
Scheduling Job Classes with
Changeover Times on a Single
MachineEiji Mizutani
National Taiwan University of Science andTechnology, Taiwan

Modeling Multi-stage
Assembly Systems with Finite
Capacity as a Queueing
Network

Saeed Yaghoubi1, Amir Azaron2
1
Iran University of Science and Technology,
Iran
2
Istanbul Sehir University, Turkey

Batching and Sequencing ofIncompatible Job Families for aSingle Machine Problem
Mohamed K. Omar1, Yasothei Suppiah2
1
Nottingham University Business School,
Malaysia
2
Multimedia University, Malaysia

Complexity Analysis of theDiscrete Sequential Search
Problem with Group Activities
Kris Coolen, Roel Leus, Fabrice Talla
NobibonKU Leuven, Belgium

The Development of Heuristic
for Solving Multi Objective
Mark Planning Problem in
Garment Industry
Kritsada Puasakul, Paveena
Chaovalitwongse
Chulalongkorn University, Thailand

Optimization Model for Part
Nesting for Packing Problem
Mojahid Saeed Osman
King Fahd University of Pertoleum andMinerals, Saudi Arabia

Merja Huhtala, Mika Lohtander, Juha
Varis
Lappeenranta University of Technology,
Finland19

19

OR 4 Operations Research (4)HF 2 Human Factors (2)ET Engineering Education & Training

12/12/2013 15:30 - 17:30
Room: Salon B

12/12/2013 09:00 - 10:30
Room: Rachavadee

12/12/2013 11:00 - 12:30
Room: Rachavadee

Chairs:Chairs:Chairs:Amnon Gonen
Emrah Demir

Abstracts: see page 55

A Stochastic Programming
Formulation to Minimize the
Total Traveling Cost on the
Northern Sea Route
Jinho Lee, Seongho Baek
Korea Naval Academy, South Korea

Restoration of Randomized
Model Characteristics under
Small Amounts of Data:
Entropy-Robust Estimation

Yuri Popkov, Alexey Popkov
Institute for Systems Analysis, Russian
Academy of Sciences, Russian Federation

A Model of Placing Liaisons in
Multi-levels of an Organization
Structure of a Complete Binary
Tree Minimizing Total DistanceKiyoshi Sawada
University of Marketing and Distribution
Sciences, Japan

Sequential Testing of 3-level
Deep Series-parallel Systems
Gurkan Işık, Tonguc Ünlüyurt
Sabanci University, Turkey

Influence of Cutting Parametersin Face Milling of Nodular Cast
Iron Grade 500 Using Carbide
Tool Affect the Surface
Roughness and Tool Wear
Surasit Rawangwong, Worapong
Boonchouytan, R. Burapa, J. Chatthong
Rajamangala University of Technology
Srivijaya, Thailand

The Role of Purchasing
Management Towards
Sustainable Supply Chain: A
Lifecycle Perspective
Kamonmarn Jaenglom, Zaheer Tariq
University of Bergamo, Italy

Shih-Miao Huang
Suprakash Gupta

Abstracts: see page 56

A Study of Affective Meanings
Predicting Aesthetic
Preferences of Interactive Skins
Shih-Miao Huang
National Formosa University, Taiwan

The Discussion of Machinery
Manufacturing Industry
Employees’ Self-Efficacy,
Organizational Learning andjob Performance: The Example
of Taichung Industrial Park
Tzuu-Hwa Jiang, Shien-Liang Chen
Asia University, Taiwan

Comparison of AHP and Fuzzy
AHP Methods for Human
Resources in Science
Technology (HRST)
Performance Index Selection
Ying-Chyi Chou1, Hsin-Yi Yen1,
Chia-Chi Sun2, Jau-Shin Hon1
1
Tunghai University, Taiwan
2
Tamkang University, Taiwan

Generating a Research
Keyword Structure on Human
Haptic Interaction using a
Social Network Analysis Tool

Joobong Song1, Ji Hyoun Lim2,
Sanghyun Kwon1, Ilsun Rhiu1, Byungki
Jin1, Sangoo Bahn3, Myung Hwan Yun1
1
Seoul National University, South Korea
2
Hongik University, South Korea
3
Myongji University, South Korea

Emotional Mental Model

Constantin von Saucken, Ioanna
Michailidou, Udo Lindemann
Technische Universität München, Germany

Preliminary Study on
Systematic Literature Review ofVision Research

Y. L. Rhie1, Ji Hyoun Lim2, S. H. Ahn1, G.
W. Kim1, Myung Hwan Yun1
1
Seoul National University, South Korea
2
Hongik University, South Korea

Arik Sadeh
Jan Harm Pretorius

Abstracts: see page 57

Triple Constraint
Considerations in theManagement of Construction
Projects

Tshweu Mokoena, Jan Harm Pretorius,
Jurie Van Wyngaard
University of Johannesburg, South Africa

From the Development of
Robots to the Management of
Oraganizations – a Discussionof the Integrative Approach of
the Industrial Engineering
Discipline

Sigal Koral-Kordova, Moti Frank, Arik
Sadeh
Holon Institute of Technology, Israel

Knowledge Transfer Practices at
Indian Premier Institute ofHigher Learning in Technology
Kalyan Kumar Bhattacharjee, Ravi
Shankar, M. P. Gupta
Indian Institute of Technology Delhi, India

The Impact of Teacher and Peer
Communication on
Adolescents’ Learning
Outcomes – Positive Perception
Makes Better Performance

Jianhong Li1, Gangyu Jin1, Yi Wen Chen2
1
University of Chinese Academy of Sciences,
China
2Chinese Academy of Sciences, China

Exploring the Required
Personality Traits for
Automotive Technician: A
Human Resource Development
Perspective
Hsiu-Te Sung, Han-Jau Niu
National Taiwan Normal University,
TaiwanEvaluation of a Restful Web
Services Driven Three
Dimensional E-learning
Platform with Mashup for
Ubiquitous and Personalized
Learning

Chuan-Jun Su, P. T. Liu, Cheng Huang
Yuan Ze University, Taiwan

2020

DM 2 Decision Analysis & Methods (2)DM 3 Decision Analysis & Methods(3)

SC 3 Supply Chain Management (3)12/12/2013 13:30 - 15:00
Room: Rachavadee

12/12/2013 15:30 - 17:30
Room: Rachavadee

12/12/2013 09:00 - 10:30
Room: Ubonchard

Chairs:Chairs:Chairs:Usha Ananthakumar
Ralph Riedel

Abstracts: see page 58

Stochastic Total Cost of
Ownership Forecasting forInnovative Urban Transport
Systems

Dietmar Goehlich, Felix Spangenberg,
Alexander Kunith
Technical University of Berlin, Germany

Semiconductor Yield Loss'
Causes Identification : A Data
Mining Approach
Hasna Barkia, Xavier Boucher,
Rodolphe Le Riche, Philippe Beaune,Marie-Agnès Girard, D. Rozier
Ecole Nationale Supérieure des Mines deSaint-Etienne, France

P2CLUST: an extension of
PROMETHEE II for orderedclustering
Yves De Smet
Université Libre de Bruxelles, Belgium

Selection of Non-traditional
Machining Processes: A
Distance Based Approach

Tonmoy Choudhury1, Partha Pratim
Das1, Manish Roy1, Ishwar Shivakoti1,
Amitava Ray2, B Pradhan1
1
Sikkim Manipal Institute of Technology,
India
2
National Institute of Technology, India

Modeling Brain and Behaviorof a Terrorist through Fuzzy
logic and Ontology

Rajkumar Vishwakarma, R. Shankar
Indian Institute of Technology Delhi, India

Vehicle Scheduling Problem: A
Comparative Study between
Light Truck and Motorcycle in
Small Patisserie Network
Chivalai Temiyasathit, Phathinan
Thaithatkul
King Mongkut's Institute of Technology
Ladkrabang, Thailand

Frank Felder
Zhe Zhang

Abstracts: see page 60

Abstracts: see page 59

Application of Extreme Value
Theory in Commodity Markets
Usha Ananthakumar1, Ashwin Durga2
1
Indian Institute of Technology Bombay,
India
2
Pricewaterhouse Coopers, India

Change Propagation Analysis
for Sustainability in Product
DesignSam Yeon Kim , Seung Ki Moon ,Hyung Sool Oh2, Taezoon Park3,
Gyouhyung Kyung4, Kyoung Jong Park5
1
Nanyang Technological University,
Singapore
2
Kangwon National University, South
Korea
3
Soongsil University, South Korea
4
Ulsan National Institute of Science &Technology, South Korea
5
Gwangju University, South Korea
1

Gyan Prakash
Edie Schmidt

1

Pricing Stratery of Closed-loop
Supply Chain Based on
Premium and Penalty
Mechanism
Juhong Gao, Wang Haiyan, Han
Hongshuai, Hou Liting
Tianjin University, China

3-Echelon Distribution Policy
with Order Flexibility andDirect Ordering System

Yosi Agustina Hidayat, Lucia Diawati,
Yudi Thaddeus, Seto Sumargo
Bandung Institute of Technology (ITB),
Indonesia

Supply Chain Management:
Workforce Education
Regena Scott, Edith Schmidt
Purdue University, United States

Equilibrium Strategy of aProcessor-Sharing System with
Discriminatory Discipline

Experiences from an NSF
I/UCRC on Engineering
Logistics and Distribution

Ying Shi, Zhaotong Lian
University of Macau, China

Babur Pulat, Thomas Landers, Pakize
Pulat, Cengiz Altan, Zahed Siddique
University of Oklahoma, United States

Weighted Additive Fuzzy Goal
Programming-based Decision
Support System for Green
Supply Network Design

Factor Analysis of Rational
Trust among Supply Chain
Partners in Indian Industries

Kanda Boonsothonsatit, Sami Kara,
Berman Kayis, Suphunnika Ibbotson
The University of New South Wales,
Australia

Multiple Criteria Model for
Evaluation and Selection of
Outsourcing Service Countries:
A Case Study in the East andSoutheast Asia
James K. C. Chen, Van Kien Pham,
Chih-Sung Chang, Thi Le Huyen
NguyenAsia University, Taiwan

Gaurav Tejpal1, Rajiv Kumar Garg2,
Anish Sachdeva2
1
Amritsar College of Engineering &Technology, India
2
Dr B.R. Ambedkar National Institute ofTechnology, India

Designing Supply Chain
Analysis Tool Using SCOR
Model (Case Study in Palm Oil
Refinery)

Fitra Lestari1, Kamariah Ismail1, Abu
Bakar Abdul Hamid1, Wahyudi Sutopo2
1
Universiti Teknologi Malaysia, Malaysia
2
Sebelas Maret University, Indonesia

Hotel Classification
Visualization Using Natural
Language Processing of User
Reviews
Takayuki Suzuki, Kiminori Gemba,
Atsushi Aoyama
Ritsumeikan University, Japan21

21

SC 4 Supply Chain Management (4)SC 5 Supply Chain Management (5)SC 6 Supply Chain Management (6)12/12/2013 11:00 - 12:30
Room: Ubonchard

12/12/2013 13:30 - 15:00
Room: Ubonchard

12/12/2013 15:30 - 17:30
Room: Ubonchard

Chairs:Chairs:Chairs:Lesley Walls
Premaratne Samaranayake

Abstracts: see page 61

Demand Information Sharing
Impact on Supply Chain
Management under Demand
Uncertainty. A Simulation
Model

Ana Paula Barroso, Virginia Machado,
Virgilio Cruz-Machado
Faculdade de Ciências e Tecnologia, FCT,
Universidade Nova de Lisboa, Portugal

Models for the Optimization of
Supply Chains - A Literature
Review

Florian G. H Behncke1, Julia Ehrhardt1,
Udo Lindemann2
1Technische Universität München,
Germany
2Technische Universität München (TUM),
Germany

Modeling and Optimization of
Inventory and Sourcing
Decisions with Risk
Assessment in Perishable Food
Supply Chains
Zheng Ren, Arjaree Saengsathien,David Zhang
University of Exeter, United Kingdom

Developing a Two-echelon
Inventory Model with
Simultaneous Consideration of
Backorders and Lost Sales
S. Kamal Chaharsooghi, Hassan
Yadegari
Tarbiat Modares University, IranDecision Trees to Model the
Impact of Disruption andRecovery in Supply Chain
Networks

Loganathan Ponnambalam1, Leow
Wenbin2, Xiuju Fu1, Xiao Feng Yin1,
Zhaoxia Wang1, Rick Siow Mong Goh1
1
Institute of High Performance Computing,Singapore
2
National University of Singapore,
Singapore

Research on the Formation of
Supply Chain Carbon Emission
Reduction Union Based on
Voluntary Emission Reduction

Tony Halim
Jenny Backstrand

Abstracts: see page 62

Using Fuzzy Inference Systems
to Improve Purchasing
Process-Related Decisions
Javier Puente, Isabel Fernandez,
Nazario García, Paolo Priore
University of Oviedo, Spain

A Comparison of Forecasting
Models using Multiple
Regression and Artificial
Neural Networks for the
Supply and Demand of Thai
EthanolRojanee Homchalee, Weerapat
Sessomboon
Khon Kaen University, Thailand

Reliability-based Decision
Analysis for Ready Mixed
Concrete Supply Chain Using
Stochastic Method

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

A Review of Data Development
Analysis (DEA) Applications in
Supply Chain Management
Research
Woramol Chaowarat1, Pairach
Piboonrugnroj2, Jianming Shi3
1
Muroran Institute of Technology, Japan
2
Chiang Mai University, Thailand
3
Tokyo University of Science, Japan

3PL Selection: A Multi-criteria
Decision Making Approach

Ankit Bansal, Pravin Kumar, Siddhant
Issar
Delhi Technological University, India

A Bilevel Model forTransportation Service Sharing
in Supply Hub in Industrial
Park (SHIP)

Xuan Qiu, Gangyan Xu, George Huang
The University of Hong Kong, Hong Kong
SAR

Supachart Iamratanakul

Abstracts: see page 63

A Hierarchical Demand-driven
Production Planning andControl Framework for the
FMCG Industry: An SAP-based
Approach
Poorya Farahani1, Renzo Akkerman2,
Joerg Wilke1
1
SAP Deutschland AG & Co. KG.,
Germany
2Technische Universität München,
Germany

The Merging of MPS and Order
Acceptance in a
Semi-Order-Driven Industry: A
Case Study of the Parasol
Industry
Watcharee Wattanapornprom, Tieke Li
University of Science and Technology
Beijing, China

Information Security Risk
Assessment in SCM

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

On Development of Supplier
Segmentation Ontology Using
Latent Semantic Analysis for
Supplier Knowledge
Management in Supply Chain

Anirban Kundu, Vipul Jain
Indian Institute of Technology Delhi, India

Remanufacturing Intermittent
Demand Forecast: A Critical
Assessment

Prerna Mishra1, Xue-Ming Yuan2,Guangbin Huang1, Laura Xiao Xia Xu2
1
Nanyang Technological University,
Singapore
2
Singapore Institute of Manufacturing
Technology, Singapore

Sustainable Logistics Systems:
A Framework and Case Study
Sooksiri Wichaisri, A. Sopadang
Chiang Mai University, Thailand

Yan Peng, Zhuoran Shi
Tianjin University, China

2222

QC 2 Quality Control & Management (2)HS 1 Healthcare Systems &Management (1)HS 2 Healthcare Systems &Management (2)12/12/2013 09:00 - 10:30
Room: Jamjuree

12/12/2013 11:00 - 12:30
Room: Jamjuree

12/12/2013 13:30 - 15:00
Room: Jamjuree

Chairs:Chairs:Chairs:Chen-ju Lin
Ayon Chakraborty

Abstracts: see page 64

Use of Engineering Robust
Design Approach to Improve
the Surface Quality of Pre-castConcrete Elements: An
Experimental Approach

Samindi Samarakoon, R.M. Chandima
Ratnayake
University of Stavanger, Norway

Reducing Defects andAchieving BusinessProfitability using Innovativeand Lean Thinking
Amol Lanke, Behzad GhodratiLuleå University of Technology, Sweden

A Computational Geometric
Approach For A Novel
Multivariate Process Capability
Index
Birajashis Pattnaik1, Sushanta Tripathy2
1
Chandigarh Engineering College, India
2
Kalinga Institute of Industrial Technology,
India

Assessing SMEs Batik
Readiness for SNI Adoption(Case Study SMEs Solo andYogyakarta)
Aries Susanty, Dyah Ika Rinawati,
Bambang Purwanggono, Diana
Puspitasari, Meylani
University of Diponegoro, Indonesia

PHM for Complex Mining andMetallurgy Equipment
Multi-state System Based
Optimal Multivariate Bayesian
Model
Jianjun Wu, Shilang Wu, Xiongxiong
You
Jiangxi University of Science andTechnology, China

Composite Practices to Improve
Sustainability: A Frameworkand Evidence from Chinese
Auto-parts Industry
Zhen Wang, Nachiappan Subramanian,
Muhammad Abdulrahman, Chang Liu
The University of Nottingham, China

23

Jose Machado

Abstracts: see page 65

Stand-Alone Electronic Health
RecordJulio Duarte1, Gabriel Pontes2, MariaSalazar3, Manuel Santos1, Antonio
Abelha1, Jose Machado1
1
University of Minho, Portugal
2
Association of Municipalities of Vale doAve, Portugal
3
Centro Hospitalar do Porto, Portugal

Analysis of Cross-Platform
Development Frameworks for a
Smartphone PediatricApplication

Rui Oliveira1, Gabriel Pontes2, Jose
Machado1, Antonio Abelha11University of Minho, Portugal
2
Association of Municipalities of Vale doAve, Portugal

Quality Improvement ofGeneral Out-patient Clinics inHong Kong

C. M. Chan, T. C. Wong
City University of Hong Kong, Hong Kong
SAR

Resource Allocation in
Healthcare: Implications of
Scarce Resources and Temporal
Constraints
Juha Puustjärvi1, Leena Puustjärvi2
1
University of Helsinki, Finland
2
The Pharmacy of Kaivopuisto, Finland

Relationship between
Polymeric Foam Characteristics
and Properties of Porous Bone
Substitute Fabricated byPolymeric Foam Replication
Wassanai Wattanutchariya
Chiang Mai University, Thailand

A Fuzzy Particle Swarm
Optimization Approach for
Task Assignment in Home
Health Care

Michael Mutingi, Charles Mbohwa
University of Johannesburg, South Africa

Juha Puustjarvi

Abstracts: see page 66

Extending a Patient Monitoring
System with Identification andLocalisation
Fernando Marins, Rui Rodrigues,
Carlos Filipe Portela, Manuel Santos,
Antonio Abelha, Jose Machado
University of Minho, Portugal

Integrating RFID with Blood
Supply Chain: A Technical andBusiness Analysis
Wei Xu1, Zhaotong Lian1, Xifan Yao2
1
University of Macau, China
2South China University of Technology,
China

An Intelligent Approach forOpen Clinical Laboratory
Results in Intensive Care
Medicine

Carlos Filipe Portela1, Manuel Santos1,
Jose Machado1, Antonio Abelha1,
Ă�lvaro Silva2, Fernando Rua2
1
University of Minho, Portugal
2
Centro Hospitalar do Porto, Portugal

KIDEA : An Innovative
Computer Technology To
Improve Skills In Children
With Intelectual Disability
Using Kinect Sensor

Warih Puspitasari Soesatyo, Kholifatul
Ummah, Ainu Pambudi
Telkom University, Indonesia

A Risk-adjusted Multi-attribute
Cumulative Sum Control
Scheme in Health-care Systems
Sayyedeh Nastaran Shojaei, S. T. A.
Niaki
Sharif University of Technology, IranHome Healthcare Staff
Scheduling: A Taxonomic
State-of-the-Art Review

Michael Mutingi, Charles Mbohwa
University of Johannesburg, South Africa

23

SI 2 Service Innovation & Management (2)SM 2 Systems Modeling & Simulation(2)

QC 3 Quality Control & Management(3)

12/12/2013 15:30 - 17:30
Room: Jamjuree

12/12/2013 09:00 - 10:30
Room: Sakthong

12/12/2013 11:00 - 12:30
Room: Sakthong

Chairs:Chairs:Chairs:Ching-Yu Lien
Marivic Manalo

Abstracts: see page 67

Adopt-A-Community
Framework

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

Process Improvement – A
Positive Deviance Approach
Ayon Chakraborty
James Cook University, Singapore

The Conceptual Model ofNegative Experiences
Regarding the Facilities at
Family Trip Destinations - A
Case Study of Tourism Factories
Hsin-Yen Wu1, Ching-Yu Lien2
1
Yu Da University, Taiwan
2
Minghsin University of Science andTechnology, Taiwan

Dynamic Pricing in
Performance Theater Industry:An Empirical StudyNaragain Phumchusri
Chulalongkorn University, Thailand

Quantifying the Service Level
and Manpower Needs of Food
Courts in Singapore

Wing Tai Chung1, Xin Zhong1, Han
Tong Loh2
1
National University of Singapore,
Singapore
2
Singapore Institute of Technology,
Singapore

IMU-WPS Hybrid Position
Estimation Test-Bed
Development

Byoung-seop Kim1, Suk-yon Kang2,
Jae-hoon Kim1
1
Ajou University, South Korea
2
Network Technology R&D Center, SK
Telecom, South Korea

Kun-Ming Yu
Ling Cen

Abstracts: see page 68

Detecting HierarchicalCommunity Structures in Social
Networks Using Integer Linear
Programming
Chun-Cheng Lin1, Jia-Rong Kang1,
Jyun-Yu Chen1, Chien-Liang Chen2
1
National Chiao Tung University, Taiwan
2
Aletheia University, Taiwan

Simulation Modeling Analysis
to Support Decision Making ofCassava Harvesting in Thailand

Warut Pannakkong1, Jirachai
Buddhakulsomsiri1, ParthanaParthanadee2
1
Sirindhorn International Institute ofTechnology, Thammasat University,
Thailand2
Kasetsart University, Thailand

Development of an Assessment
Procedure for the
Problem-Specific Selection of
Most Suitable Modeling
Methods for Complex Systems

Daniel Kasperek, Konrad Peters,
Sebastian Maisenbacher, Maik Maurer
Technische Universität München, Germany

Optimum Design and Analysis
of Riser for Sand Casting
Chandrashekhar Choudhari1,
Balkrishna Eknath Narkhede1, S K
Mahajan2
1
Veermata Jijabai Technological Institute(VJTI), India
2
Directorate of Technical Education,
Maharashtra State, India

A SIS Epidemic Model with
Impulsive Vaccination

Manuel de la Sen , Santiago
Alonso-Quesada1, Asier Ibeas2
1
University of Basque Country, Spain
2
Autonomous University of Barcelona,
Spain
1

Jianjun Wu
Shinji Inoue

Abstracts: see page 69

A New Method for Metrology
Monitor Charts

Jinyi Ma, Kaily Cao, Weiting Kary Chien
Semiconductor Manufacturing
International Corporation, China

Critical Practices in TQM
Human Resources
Development

Masayoshi Ushikubo1, Hisato Tashiro2,
Nobuzumi Fujii1, Kazuya Nakajima1,
Ichiro Sakata2
1
Sanden Corporation, Japan
2
The University of Tokyo, Japan

An Enhancement for Single
Sampling Plan Method

Randy Kang, Lisa Yu, Weiting Kary
Chien
Semiconductor Manufacturing
International Corporation, China

The Quality Control
Application for Abnormal Raw
Material Early Detection
Violet Shangguan, July Shui, Kevin
Chang
Semiconductor Manufacturing
International Corporation, China

Total Productive Maintenance
Strategy in a Semiconductor
Manufacturer: A Case Study

Kam-Choi Ng1, Kuan Eng Chong2,
Gerald Guan Gan Goh3
1
Infineon Technologies, Malaysia
2Technical University Malaysia, Malaysia
3
Multimedia University, Malaysia

Quality Control of
Subcontractor Management in
Wafer Foundry
Wenwen He, Kelly Yang
Semiconductor Manufacturing
International (Shanghai) Corp., China

Representing Ontologies inMultiple Domain Matrices

Daniel Kasperek, Ragna Steenweg,
Sebastian Maisenbacher, Kathrin Jasmin
Füller, Helmut Krcmar, Maik Maurer
Technische Universität München, Germany

24

24

PP 2 Production Planning & Control (2)PP 3 Production Planning & Control(3)

PM 2 Project Management (2)12/12/2013 13:30 - 15:00
Room: Sakthong

12/12/2013 15:30 - 17:30
Room: Sakthong

12/12/2013 09:00 - 10:30
Room: Patumchard

Chairs:Chairs:Chairs:

Tatsushi Nishi
Yuan Huang

Abstracts: see page 70

Operational Control of Service
Processes: Empirical Evidence
from the Financial Sector inAustralia
Michael Leyer1, Richard Willis2, Ayon
Chakraborty3, Jürgen Moormann11Frankfurt School of Finance &Management, Germany
2
Queensland University of Technology,
Australia
3
James Cook University, Singapore

Quantifying the Impact ofUsing Multi-function Robots
on Productivity of Rotationally
Arranged Robotic Cells

Mehdi Foumani, Yousef Ibrahim, Indra
GunawanMonash University, Australia

Analysis of the Effects of
Flexibilities on Scheduling A
Flexible Manufacturing System
Using Discrete-Event
Simulation
O. A. Joseph1, R Sridharan2
1
College of Engineering Vadakara, India
2
National Institute of Technology Calicut,
India

A State-of-the-Art Workload
Control System for Customized
Industry
Yuan Huang
University of Southampton, United
Kingdom

Requirement Derivation for the
Factory Planning in the
Automobile Industry throughStrategic Scenario Generation
Egon Mueller1, Mario Münnich2, Jens
Kellerbach2, Siegfried Fiebig2
1
Chemnitz University of Technology,
Germany2
Volkswagen AG, Germany

An Integrated Production
Planning and Order Acceptance
Model with Flexible Due Dates
Tarik Aouam1, Nadjib Brahimi2
1
American University of Sharjah, United
Arab Emirates
2
University of Sharjah, United ArabEmirates

25

Seng Fat Wong
Michael Leyer

Abstracts: see page 71

A Mathematical Model on an
Economic Lot Scheduling
Problem with Shifting Process
and Joint Material
Replenishment

Dah-Chuan Gong1, Jhin-Yong Lin1, Gary
C. Lin2, Wen-Na Ma3
1
Chung Yuan Christian University, Taiwan
2
Bradley University, United States
3
Shih Chien University, Taiwan

Parallel-machine Schedulingwith General Positional
Deterioration and Maintenance
Shijin Wang
Tongji University, China

Critical Mapping of
Sustainable Index
Methodologies

Marco Taisch, Jing Shao
Politecnico di Milano, Italy

Lagrangian Relax and Fix
Heuristics for Integrated
Production Planning andWarehouse Layout Problem
Keisuke Ohga1, Tatsushi Nishi1,
Guoqing Zhang2, Sarina Turner3
1
Osaka University, Japan
2
University of Windsor, Canada
3
University of Toronto, Canada

The Production Planning ofPharmaceutical Production
Under Multi Variables.

Suleeporn Chaolaem1, Tuanjai
Somboonwiwat2, Suksan
Prombanpong2
1
Government Pharmaceutical Organization,
Thailand2
King Mongkut's University of Technology
Thonburi (KMUTT), Thailand

Improving The Efficiency ofOrdering Policy: An
Application In a Class-A SparePart
Chivalai Temiyasathit, Natthanun
Jangsetthagul
King Mongkut's Institute of Technology
Ladkrabang, Thailand

Norbert Trautmann
Pawel Blaszczyk

Abstracts: see page 72

Matrices-based Modeling ofCommunication within
Planning Projects

Bernd Petraus, Roman Arnold, Ralph
Riedel, Egon Mueller
Chemnitz University of Technology,
Germany

The Identification of Limitingand Enabling Factors of theOrganization on theDevelopment of
Platform-based Products
Wolfgang Bauer1, Fatos Elezi1, Florian
Homann2, Maik Maurer1
1
Technische Universität München,
Germany
2
University of St. Gallen, Switzerland

Activity-based Process Model
for Customer-driven ProductDevelopment
Anita Friis Sommer, Iskra
Dukovska-Popovska, Kenn
Steger-Jensen
Aalborg University, Denmark

Deliberating the Triple
Constraint Trade-offs as
Polarities to Manage – a
Refreshed Perspective

C. Jurie Van Wyngaard1, Jan Harm
Pretorius2, Leon Pretorius3
1
Employee Saab Grintek Defence, South
Africa2
University of Johannesburg, South Africa
3
University of Pretoria, South Africa

Construction of Ecological
Niche Model of Projects underManagement by Project Pattern
in Enterprise
Kexin Huang
Northwestern Polytechnical University,
China

Scrum Integration in Stage-gate
Models for Collaborative
Product Development - A Case
Study of Three Industrial
Manufacturers

Anita Friis Sommer1, Andreas
Slavensky2, Vivi Thuy Nguyen1, Kenn
Steger-Jensen1, Iskra
Dukovska-Popovska1
1
Aalborg University, Denmark
2
AN-Group A/S, Denmark25

EE 2 Engineering Economy & Cost
Analysis (2)IP Information Processing &Engineering

FP Facilities Planning & Management

12/12/2013 11:00 - 12:30
Room: Patumchard

12/12/2013 13:30 - 15:00
Room: Patumchard

12/12/2013 15:30 - 17:30
Room: Patumchard

Chairs:Chairs:Chairs:Hsiao-min Chuang
Michael Gepp

Abstracts: see page 73

Antonio Grilo
Xu Zhang

Abstracts: see page 75

Abstracts: see page 74

Functional Assessment forLarge-scale Wind-hydrogen
Energy Integration Electricity
Supply System in Taiwan

Scalable Clustering with
Adaptive Instance Sampling

Model for Integrated ValueEngineering

Integrated Information
Modeling of Engineering
Digital Prototyping for Satellite
Design

Pao-Long Chang, Chiung-Wen Hsu,
Chih-Min Hsiung
Feng Chia University, Taiwan

Sebastian Maisenbacher, Florian G. H
Behncke, Udo Lindemann
Technische Universität München, Germany

Revenue and Utility
Maximization underCentralized Dynamic Spectrum
Allocation

Hailing Zhu1, Andre L Nel1, Mbuyu
Sumbwanyambe1, Ling Cheng2
1
University of Johannesburg, South Africa
2
University of the Witwatersrand, South
AfricaChallenges of Performance
Assessments for Engineering
Departments: Empirical Studyand Further Results

Michael Gepp1, Michael Amberg1,
Stefan Horn2, Thomas Schaeffler2
1
University Erlangen-Nuremberg,
Germany2
Siemens AG, Germany

The Optimization of
Maintenance Time and Total
Site Crew for Base Transceiver
Station (BTS) MaintenanceUsing Reliability Centered
Maintenance (RCM) and Life
Cycle Cost (LCC)
Rohmat Saedudin, Rino Andias
Anugraha, Rachmad Eka
Telkom Institute of Technology, Indonesia

JaeKyung Yang , ByoungJin Yu ,MyoungJin Choi3
1
Chonbuk National University, South Korea
2
R&D Center, Miracom, INC.,, South Korea
3
Howon University, South Korea
1

2

Xu Zhang1, Kai Wang1, Haoqi Wang1,
Zheng Xie2
1
Beijing Institute of Technology, China
2
China Academy of Space Technology, China

About the Power Transfer in
Linear Time-Varying Circuits

Manuel de la Sen1, Santiago
Alonso-Quesada1, Aitor Garrido1, Asier
Ibeas2
1
University of Basque Country, Spain
2
Autonomous University of Barcelona,
Spain

A Methodology for Designing
an Interoperable Industrial
Ecosystems, using the
Axiomatic Design Theory

Izunildo Cabral, Pedro Espadinha-Cruz,
Antonio Grilo, Antonio
Gonçalves-Coelho, Antonio Mourao
Universidade Nova de Lisboa, Portugal

An Approach of Generative
Design System: Jewelry Design
Application

Somlak Wannarumon Kielarova1,
Prapasson Pradujphongphet1, Erik
Bohez2
1
Naresuan University, Thailand
2
Asian Institute of Technology, Thailand

An Algorithmic Frame ofHybrid Position Estimation fora Mobile Handset
Hyun Min Jeon1, Suk-Yon Kang2,
Jae-hoon Kim3
1
Ajou University, South Korea
2
Network Technology R&D Center, South
Korea
3
Industrial Engineering, South Korea

26

Carman Ka Man Lee

Minimizing Port Staying Time
for Container Terminal with
Position Based Handling Time

Helen Ma, Felix Chan, Nick Chung, Ben
Niu
The Hong Kong Polytechnic University,
Hong Kong SAR

Creation of FCEV Market: A
New Approach to the Emerging
Economy of Self-sustainability

Takuya Hasegawa1, Hitoshi Igarashi1,
Kiminori Gemba2
1
Nissan Motor Co. Ltd, Japan
2
Ritsumeikan University, Japan

Optimization of Facility
Location Problem in Reverse
Logistics Network using
Artificial Bee Colony
Algorithm

Shu Zhu Zhang, Carman Ka Man Lee
The Hong Kong Polytechnic University,
Hong Kong SAR

Bat Algorithm for Designing
Cell Formation with aConsideration of Routing
Flexibility

Wipada Parika, Wipada Seesuaysom,
Srisatja Vitayasak, Pupong Pongcharoen
Naresuan University, Thailand

A Two-Stage Mathematical
Model for Cross-Docking
Distribution Planning Solved
by a Two-Stage Heuristic
Algorithm
S. M. Mousavi1, Ali Siadat2, Reza
Tavakkoli-Moghaddam1, Behnam
Vahdani1
1
University of Tehran, Iran2
Arts et Métier Paris Tech, France

Prediction on the Energy Or
Power Structure Under theConstraint of Saving Energy
and Carbon Emissions

Tuochen Li, Lin Qiao
Harbin Engineering University, China

26

EB 2 E-Business & E-Commerce (2)RM 2 Reliability & MaintenanceEngineering (2)RM 3 Reliability & MaintenanceEngineering (3)12/12/2013 09:00 - 10:30
Room: Satabud

12/12/2013 11:00 - 12:30
Room: Satabud

12/12/2013 13:30 - 15:00
Room: Satabud

Chairs:Chairs:Chairs:Yi-Hui Liang
Nila Armelia Windasari

Abstracts: see page 76

Optimizing Concurrent
Configuration and Planning: A
Proposition to Reduce
Computation TimePaul Pitiot1, Michel Aldanondo2, Elise
Vareilles2, Thierry Coudert3, Linda
Zhang4
1
Universite Toulouse - Mines Albi, France,
Metropolitan
2
University of Toulouse, France,
Metropolitan
3
Universite Toulouse INP-ENIT, France,
Metropolitan
4
Catholic University of Lille, France

DYNAMOD: A Modelling
Framework for Digital
Businesses based on Agent
Based ModelingAneesh Zutshi, Antonio Grilo, Ricardo
Jardim-Goncalves
Universidade Nova de Lisboa, Portugal

Performance Management forInter-organization Information
Systems performance: Using
the Balanced Scorecard and the
Fuzzy Analytic Hierarchy
Process
Yi-Hui Liang
I-Shou University, Taiwan

Exploring E-readiness on
E-commerce Adoption of SMEs:
Case Study South-East Asia
James K. C. Chen, Nila Armelia
Windasari, Pai Rose
Asia University, Taiwan

The Construction of Service
Innovation of Green Bed andBreakfast (B&B)
Tain-Fung Wu, Ming-Yu Yang,
Shien-Liang Chen
Asia University, Taiwan

Sourcing under Incomplete
Information about Suppliers

Jishnu Hazra, B Mahadevan
Indian Institute of Management Bangalore,
India

27

Behzad Ghodrati
David Valis

Abstracts: see page 77

Dynamic k-out-of-n Systemwith Component Partnership
Design with Two Dependent
Competing Failure Processes

Nida Chatwattanasiri1, David Coit1,
Naruemon Wattanapongsakorn2,
Qianmei Feng3
1
Rutgers University, United States
2
King Mongkut's University of Technology
Thonburi, Thailand
3
University of Houston, United States

Om Prakash Yadav
Yiliu Liu

Abstracts: see page 78

Coast Down Time Analysis for
Condition Monitoring: An
Experimental Investigation to
Study the Effects of Bearing
Lubrication and Shaft
Misalignment in Rotating
MachineryK P Ramachandran, Rameshkumar
Ramaswamy, Lubulubah Hatif Al
Hatmi
Caledonian College of Engineering, Oman

Remaining Useful Life
Prediction for a Hidden Wiener
Process with an Adaptive Drift

Estimation of Residual Life
based on Vehicle Tribo Data

Zeyi Huang, Zhengguo Xu
Zhejiang University, China

David Valis1, Ondrej Pokora2
1
University of Defence, Czech Republic
2
Masaryk University, Czech Republic

Reliability Analysis of
Condition Monitoring Data on
Aging Plants: A Case Study
From Topside Static Mechanical
Systems

An Inspection-maintenance
Strategy for Heterogeneous
Systems with Measurable
Degradation

R.M. Chandima Ratnayake, Mayang
Kusumawardhani
University of Stavanger, Norway

Human Reliability andWorkload in Product Design
with different Frequencies ofInterruption

Raymond Djaloeis, Soenke Duckwitz,
Malte Hinsch, Joerg Feldhusen,
Christopher M. Schlick
RWTH Aachen University, Germany

Maintenance-based Warranty
for Offshore Wind Turbines
Yiliu Liu, Lijuan Dai
Norwegian University of Science andTechnology, Norway

Prediction of Further Operation
Based on Vehicle Tribo Data

David Valis1, Libor Zak2, Jiri Chaloupka3
1
University of Defence, Czech Republic
2
University of Technology, Czech Republic
3
Military Technical Research Institute,
Czech Republic

Zhi-Sheng Ye1, Mimi Zhang2, Xun Xiao2
1
The Hong Kong Polytechnic University,
Hong Kong SAR
2City University of Hong Kong, Hong Kong
SAR

Condition Based Optimal
Maintenance Strategy for
Multi-Component System

Manish Rawat, Bhupesh Kumar Lad
Indian Institute of Technology Indore, India

Deriving an Empirical Modelfor Machinery Prioritization:
Mechanical Systems
Maintenance

R.M. Chandima Ratnayake1, Dorota
Stadnicka2, Katarzyna Antosz2
1
University of Stavanger, Norway
2
Rzeszow University of Technology, Poland

The Bivariate Generalized
Variance |S| Control Chartwith Runs Rules
Chee Jiun Chong, Ming Ha Lee
Swinburne University of Technology
Sarawak Campus, Malaysia27

RM 4 Reliability & MaintenanceEngineering (4)TK 3 Technology & Knowledge
Management (3)SR 2 Safety, Security & Risk
Management (2)12/12/2013 15:30 - 17:30
Room: Satabud

12/12/2013 09:00 - 10:30
Room: Boontarik

12/12/2013 11:00 - 12:30
Room: Boontarik

Chairs:Chairs:Chairs:Ramachandran K P
R.M. Chandima Ratnayake

Abstracts: see page 79

In-Service Inspection of
Offshore Concrete Structures:
Application of an Expert
SystemSamindi Samarakoon, R.M. Chandima
Ratnayake
University of Stavanger, Norway

Double Intelligence Contests
vs. Impact Contest in
Defending Genuine Object
with Imperfect False Targets

Mengya Wan1, Xiuyi Chen2, Jun Yang1,
Rui Peng2, Yu Zhao1
1
Beihang University, China
2
University of Science and Technology,
China

Plant Systems and Equipment
Maintenance: Use of Fuzzy
Logic for Criticality Assessmentin NORSOK Standard Z-008
R.M. Chandima Ratnayake
University of Stavanger, Norway

Time-variant Reliability
Analysis of Mechatronic
Product Based on PSO andUp-crossing Rate Approach

Bo Liu, Jianguo Zhang, Pidong Wang,
Zhiyi Ma
Beihang University, China

World Class Maintenance(WCM): Measurable Indicators
Creating Opportunities for the
Norwegian Oil and Gas
Industry

Syeda Fahmida Imam1, Jawad Raza1,
R.M. Chandima Ratnayake2
1
Apply Sørco, Norway
2
University of Stavanger, Norway

Design an Effective Reliability
Demonstration Test Plan using
Six Sigma Approach
Mohamad Razif Mohd Idris, Azmir
AladinMIMOS Berhad, Malaysia

Suthep Butdee
Matti Karvonen

Abstracts: see page 80

Impact of Organizational
Characteristics on the
Relationship of Management
Practice Factors, EfficientTechnology Transfer and Firm's
Business Performance
Nguyen Thi Duc Nguyen, Atsushi
AoyamaRitsumeikan University, Japan

Technical and Non-TechnicalInnovation Models in China’s
SMEs: A Case StudyZhi-sheng Ye
Xiuju Fu

Abstracts: see page 81

Clarifying the Value Elementsof Business Models forDisturbance Management in
Supply Chains
Lea Hannola, Nina Tervonen, Ville
Ojanen, Tuomo Kässi
Lappeenranta University of Technology,
Finland

Customer Needs for Analyzing
and Managing Disturbances inTransport Logistics

Jin Chen, Juxiang Zhou, Feng Xu, Yue
Yin
Zhejiang University, China

Nina Tervonen, Lea Hannola, Ville
OjanenLappeenranta University of Technology,
FinlandThe Impact of Scientific
Knowledge Resources on
Innovation Performance: A
Case Study

Risk Management ofConstruction Projects Based on
Sandpile Model: a Frame of
Risk Conduction

Juxiang Zhou1, Jin Chen2, Xiaoting
Zhao1, Xiangzhen Yu3, Yue Yin1
1
Zhejiang University, China
2
Tsinghua University, China
3
Zhongkai University of Agriculture andEngineering, China

Developing Proprietary orOpen Source Technology:
Learning from Five Case
StudiesR R K Sharma, Ajay Jha, Sandeep Rajput
Indian Institute of Technology Kanpur,
India

Overtime Reduction, Work-Life
Balance, and PsychologicalWell-Being for Research andDevelopment Engineers inJapanBingbing Xu, Y. Q. Chen, C. M. Wang
Tianjin University, China

Implications of Radioactive
Contamination near Production
Sites for ProductQuality-related Risk
Perceptions and Customer
Loyalty
Bjoern Frank, Dinush Wimalachandra
Tokyo Institute of Technology, Japan

Research on Safety
Management of Freeway Traffic
Bing Li
Hebei University of Technology, China

Tetsushi Fujimoto, Sayaka Shinohara,
Hideki Shimizu-Tanaka, Yoshifumi
NakataDoshisha University, Japan

Integration of Design for X
Approaches in the Concept ofLean Design to Enable a
Holistic Product Design
Uwe Dombrowski, Stefan Schmidt
Technische Universität Braunschweig,
Germany28

28

IS Intelligent Systems

MS Manufacturing Systems

Poster Session 2

12/12/2013 13:30 - 15:00
Room: Boontarik

12/12/2013 15:30 - 17:30
Room: Boontarik

12/12/2013 15:00 - 15:30
Room: Krisana

Chairs:Chairs:Yuri Popkov
Poobalan Govender

Abstracts: see page 82

Difference Priority Algorithm
in Semiconductor Scheduling
Problems

Kun-Ming Yu, Ming-Gong Lee,
Chang-Hsing Lee, Yon-Yaw Chen
Chung Hua University, Taiwan

Fault Classification on High
Voltage Power Lines Using
Principal Component Analysis
and Feed-Forward Artificial
Neural Networks

Poobalan Govender, Neelendren Pillay,
Kevin Emanuel Moorgas
Durban University of Technology, South
AfricaApplication of Estimation ofDistribution Algorithms for
Solving Order Acceptance with
Weighted Tardiness Problems

Watcharee Wattanapornprom1, Tieke
Li1, Warin Wattanapornprom2, Prabhas
Chongstitvatana2
1
University of Science and Technology
Beijing, China
2
Chulalongkorn University, Thailand

A Risk Assessment Model
Using Artificial Neural
Networks Case Study: National
Iranian Oil Products
Distribution Company(NIOPDC)

Ahmad Vedadi1, Maryam Khajeh1,
Faezeh Montazeri2
1
Islamic Azad University, Iran2
National Iranian Oil Products Distribution
Company, Iran

Dynamic Parallel Machine
Scheduling Using the Learning
Agent
Biao Yuan, Lei Wang, Zhibin Jiang
Shanghai Jiao Tong University, China

In-Service Inspection of Static
Mechanical Equipment: Use ofa Fuzzy Inference System for
Maintaining the Quality of an
Inspection Program
A.M.N.D.B. Seneviratne, R.M.
Chandima Ratnayake
University of Stavanger, Norway

Lionel Amodeo
Prafulla Kulkarni

p.84

Abstracts: see page 83

Design of Integrated
Scheduling and AutomatedControlling for Surface
Treatment Process using
Supervisory Control and Data
Acquisition (SCADA)
Dida Damayanti, Haris Rachmat,
Denny Sukma Atmaja
Institut Teknologi Telkom, Indonesia

Sittichok Sinrat1, Walailak
Attihirawong2
1
Administration and Management College,
King Mongkut’s Institute of Technology
Ladkrabang, Thailand
2
King Mongkut’s Institute of Technology
Ladkrabang, Thailand

p.84

Common Production Process
Modeling for MES Based on
Multi-Agent

p.84

Prafulla Kulkarni1, Kripa Shanker2
1
Gokhale Education Society's R. H. Sapat
College of Engineering, Management
Studies and Research, India
2
Indian Institute of Technology Kanpur,
India

p.84

An Improved Binary Linear
Programming Approach forLife Cycle Assessment System
Boundary Identification

Feri Afrinaldi , Hong-Chao Zhang ,John Carrell2
1
Texas Tech University, United States,
Andalas University, Indonesia
2
Texas Tech University, United States
1

Ramesh Lekurwale1, Milind Akarte2,
D.N. Raut3
1
K. J. Somaiya College ofEngineering/Veermata Jijabai Technological
Institute, India
2
National Institute of Industrial
Engineering, India
3
Veermata Jijabai Technological Institute,
India

Determining and Classifying
Drivers of Sustainable
Competitive Advantages inGreen Supply Chain
Management: Resource-Basedand Relational Views
Nisakorn Somsuk, Pongtiwa
Pongpanich, Sombat Teekasap
Eastern Asia University, Thailand

2

Measurement of Manufacturing
Effectiveness of a Company
Using Analytical HierarchicalProcess: A Case Study

Economic, Environmental andSocial Responsible Supply
Chain design Using
Differential Evolution Multi
Objective Algorithm
Shadan Tayyar1, Daniel Roy2, Farid
Ghaderi3
1
Ecole Nationale Supérieure d’Arts etMétiers, France, Metropolitan
2
LGIPM - GIL, Ecole Nationaled’Ingénieurs de Metz, France,
Metropolitan
3
University of Tehran, Iran

Lean Implementation in Smalland Medium Enterprises – A
Singapore Context

Laura Xiao Xia Xu, Feng Yu Wang,
Roland Lim, MH Toh, Ram Valliappan
Singapore Institute of Manufacturing
Technology, Singapore

An Analytic Network Process
Model to Support Decision
Making in a Pharmaceutical
Supply Chain

Virginia Machado, Ana Paula Barroso,
Virgilio Cruz-Machado
Faculdade de Ciências e Tecnologia, FCT,
Universidade Nova de Lisboa, Portugal

Shikai Luo, Guiming Luo, Xibin Zhao
Tsinghua University, China

Genetic Algorithm Approachfor Solving Intercellular Layout
Problems in Cellular
Manufacturing Systems

A Conceptual Framework of an
Integrated Fuzzy ANP andTOPSIS for Supplier Selection
Based on Supply Chain Risk
Management

p.84

Diversification of Supply
Chain

James K. C. Chen1, Tran Nguyen1,
Kaisa Chen1, Ha Nguyen21Asia University, Taiwan
2Foreign Trade University, Viet Nam

p.84

Reverse Logistics: A Business
Opportunity in Time of Crisis

Manuel Monterrey, David de la Fuente,
Isabel Fernandez, Jose Parreno, Rafael
Rosillo
University of Oviedo, Spainp.84

A Practical Supply Chain Risk
Management Approach using
VaR
Jasmine Jiamin Lim, Allan Nengsheng
Zhang, Puay Siew Tan
Singapore Institute of Manufacturing
Technology, Singapore

p.84

Optimal Design of Sewer
Network by Tabu Search andSimulated Annealing

Shuang-Fu Yeh, Yao-Jen Chang,
Min-Der Lin
National Chung Hsing University, Taiwan

29

29

p.85

An Improved Variable
Neighborhood Search for theOpen Vehicle Routing Problem
with Time Windows
Anak Agung Ngurah Perwira Redi,
Meilinda Fitriani Nur Maghfiroh,
Vincent F. Yu
National Taiwan University of Science andTechnology, Taiwan

p.85

The Impact of Managers
Selection Criteria on Quality ofCapabilities: Are Managers
only for Representative
Function?
Mait Rungi
Tallinn University of Technology, Estonia

p.85

p.86

Tomasz Błaszczyk1, Pawel Błaszczyk2
1
University of Economics, Poland
2
University of Silesia, Poland

p.86

p.86

p.86

Kuei-Chen Chiu, Shulan Hsieh
National Cheng Kung University, Taiwan

p.85

p.85

Work Value and Motivation
Mediate the Influence of
Personality on Contextual
Performance

A Comparison Between the
Sprinklers Nozzles
Dimensioning Imposed by theEuropean and the American
Fire Safety Norms – Case
Study: A Warehouse
Containing Plastic

Marcello Fera1, Raffaele Iannnone2,
Alfredo Lambiase2, Roberto
Macchiaroli1, Salvatore Miranda21Second University of Naples, Italy
2
University of Salerno, Italy

Determinants of Adopting
Mobile Internet TV in
Bangkok

Sothaya Rasmidatta1, Suphachet
Phermphoonwatanasuk2, Nopporn
Srivoravilai1
1Dhurakij Pundit University, Thailand
2
Advanced Info Service PLC, Thailand

An Extended Risk Matrix
Approach for Supply Chain
Risk Assessment

Zheng Ping Li1, Gabriel Yee1, Puay
Siew Tan1, Siang Guan Lee2
1
Singapore Institute of Manufacturing
Technology, Singapore
2
Nanyang Technological University,
Singapore

Friction Between Foot andFloor Under Barefoot
Conditions: a Pilot StudyA Discussion of Multiple
Learning Effects andUnconscious Behavior in the
Software Debugging Processwith Variable Potential Errors
and Change-points

Which Dynamic Capabilities
Needed for Successful Promote
of ERP Activity?
Te-King Chien, Jhih-Cian Syue
National Formosa University, Taiwan

Kai-Way Li, Hsiao-Ching Wen
Chung Hua University, Taiwan

p.85

Selection of Sub-contractors of
the Project While Minimizing
Settlements of Contractual
Penalties and Success Fees

p.86

An Application of Learning
Effects for Assessing Work
Performance Using a Software
Reliability Growth Model with
Multiple Change-points
Kuei-Chen Chiu, Shulan Hsieh
National Cheng Kung University, Taiwan

Zhijing Wang, Ji-Wei Ma, Yi Wen Chen
Chinese Academy of Sciences, China

p.85

The Associations between
Emotional Intelligence andAcademic Achievement:
Mediator or Moderator effectof Learning Adaptability

Xue Fei Zhou1, Yi Wen Chen2, Hui Xie1,
Hong Xie1
1
Bengbu Medical College, China
2
Chinese Academy of Sciences, China

p.85

Lower Bounds for Estimating
Workforce Size in a 24/7
Company
Jesús Lozano, Alberto Gómez, Raul
Pino, Javier Puente, Borja Ponte
University of Oviedo, Spain

p.85

The Effect of Sound on Job
Performance

Veronika Siskova, Martin Juricka
Tomas Bata University, Czech Republic

p.86

Evaluation of a Collision
Avoidance Display to Support
Pilots’ Mental Workload in a
Free Flight Environment
Yakubu Ibrahim, Peter Higgins, Peter
Bruce
Swinburne University of Technology(SUT), Australia

30

30

Abstracts
Session
Date
Time
Room
ChairsTK 1 Technology & Knowledge Management(1)
12/11/2013
13:30 - 15:00
Salon A
Tuomo Kassi, Susan Morton

Business Management and Mobile Experience
Riccardo Cognini, Roberto Gagliardi, Alberto Polzonetti
University of Camerino, Italy

The large-scale access to content resources, the current change in theaudience expectations, together with an underuse of the potentialities
offered by mobile technology calls for a rethinking of the role of mobileinterpretation within private and public business manager. Right in thein the area of intersection between business innovation and technology
moves the paper, which deals, with the role of mobile technology infostering learning and social engagement during the user experience.
The main aim is indeed to provide developers with a framework able toguide a conscious design of content mobile experiences, fully exploiting
the potentialities offered by this kind of technologies with clear
objectives and the awareness of the means to achieve them. The spreadof smartphones and tablets in the consumer market is having a big
impact on the world of enterprise IT, with consumer-focused mobile
devices making their way into the organization through thebring-your-own-device (BYOD) trend. One important aspect of copingwith BYOD that is getting less attention, however, is the impact of
employee data privacy legislation and how this creates constraints for
IT managers implementing a BYOD policy. In this paper we have tried
to provide answers to the many questions that innovation, business andmobile experience pose.

Organizational Innovation through Knowledge Taxonomy
Model
Iwan Inrawan Wiratmadja1, Augustina Asih Rumanti2, Trifenaus Prabu
Hidayat2
1
Bandung Institute of Technology, Indonesia
2
Atma Jaya Catholic University of Indonesia, Indonesia

Knowledge is a form of intangible assets within company. Human
resources will continue to grow into the company's strength in
improving its sustainable competitive advantage. Efficiency andeffectiveness are the main factors in the competitive business world.
The object of this study is small and medium enterprise (SME) which
processed natural stone. These organizations need for better knowledge
management in order to achieve organizational effectiveness. This
study aims to design a taxonomy model as part of a knowledge
management system based on the business activities carried on by
SMEs Taxonomy to overcome the problems of management and use of
information and knowledge of technical competence in SME. The
results of this research in the form of models of taxonomic knowledge
technical competence in SME can be used to facilitate the management
and use the knowledge as one of the activities in knowledge
management.

Research on the Strategy of Patents Layout Basing on TRIZ
Hui Li, Runhua Tan, P. Jiang, H.G. Zhang
Hebei University of Technology, China

Patents layout can help enterprises increase competition, while TRIZ
theory is a set of completed innovative approach from strategy to tactics,
therefore, the innovative tools and resource of TRIZ being applied into
patent layout strategy is proposed in this paper. The basic functions andauxiliary functions, which are used in patent analysis process, areestablished by using of functional analysis of TRIZ. The technicalevolution theory and resource analysis of TRIZ are used to expand theinnovative materials for patent applications. The configuration between
the claims of independent right and dependent right of patents can besorted out by TRIZ tools. Therefore, a set of methods and models ofpatent digging and layout for enterprise is established

31

Individual Tacit Knowledge for Organization’s Competitive
Advantage
Augustina Asih Rumanti1, Iwan Inrawan Wiratmadja2
1
Atma Jaya Catholic University of Indonesia, Indonesia
2
Bandung Institute of Technology, Indonesia

Tacit knowledge is an asset which plays a key role in the global
competition, especially in improving the organization’s competitive
advantage. Most of tacit knowledge is kept by an individual.
Competitive advantage determines the competitive position of theorganization from its competitors. By optimizing the existing tacitknowledge, every individual in the organization achieves optimum
competitive advantage. The main objective of this research is to analyze
the correlation between individual tacit knowledge and theorganization’s competitive advantage. Tacit knowledge, competitive
advantage and individual target are the constructs or latent variables
that will be analyzed. The results of this research show that every
indicator in each constructs have a good validity, reliability andsignificance level and indicates that the tacit knowledge of every
individual in the organization needs to be considered by theorganization to achieve its optimum competitive advantage.

Fostering Interdisciplinary Integration in Engineering
Management

Tobias Vaegs, Inna Zimmer, Stefan Schröder, Ingo Leisten, R. Vossen, Sabina
Jeschke
RWTH Aachen University, Germany

Research in the challenging field of industrial engineering andengineering management often needs the expertise from more than one
discipline. Various disciplinary competences have to be combined toanswer research questions and to solve specific (engineering) problems
at the interfaces of different professional disciplines. The disciplines
being part of the research and problem solving process have to beconsequently integrated to form an efficiently performinginterdisciplinary consortium. Current research states that thisinterdisciplinary integration process has to include various dimensions.
This paper introduces three sets of interdisciplinary integration
methods. Together they cover all of the dimensions explained before
and lead to an enhanced interdisciplinary integration. Having just
implemented a set of integration methods, measurement methods areadjusted to evaluate and optimize them continually.

Organizational Culture, Inter-organizational Learning
Ability and Innovation Performance of the Technology
Alliance of Small and Medium Enterprises
Xiaodi Zhang1, Zhanxing Zheng2, Kexin Huang1, Ping Wang1
1
Northwestern Polytechnical University, China
2
AVIC Shaanxi Aircraft Industry(Group) Corporation Ltd, China

Technological alliance is regarded to have great impact on innovation ofsmall and medium sized enterprises. However, little research has been
done to examine why the individual enterprise has different innovation
performance. This paper integrated developmental culture,inter-organizational learning ability and enterprise innovation
performance in a model to make clear the innovation mechanism ofindividual enterprise in the SME alliance. The constructs of the threevariables were given and the concept model was proposed first,
afterwards an empirical research was carried out using the structure
equation model and SPSS and AMOS as statistic tools. The results
indicate that as two dimensions of inter-organizational learning ability,
knowledge acquisition ability and knowledge absorptive capacity has
significantly positive effect on enterprise innovation performance,
while developmental culture has positive effect on enterpriseinter-organizational learning ability. In addition, inter-organizational
learning ability mediates the relationship between developmental
culture and innovation performance.

31Session
Date
Time
Room
ChairsTK 2 Technology & Knowledge Management (2)12/11/2013
15:30 - 17:30
Salon A
Roula Michaelides, R. Kant

The Impact of Shukko (Employee Transfers) within Group
Companies on the Capability and Speed of Promotion ofEngineers
Hideki Shimizu-Tanaka, Yoshifumi Nakata
Doshisha University, Japan

This study examined the impact of Shukko (employee transfer)experience of research and development (R&D) engineers in a Japanese
automotive manufacturing group on their capability improvement andspeed of promotion. It found that internal/external capabilities improvewith the length of the service, and that internal/external capabilities
improve with Shukko (employee transfer) experience and that Shukko
and external capability do not have a significantly positive impact on
the speed of promotion, and instead the level of internal capability isnecessary for the speed of promotion.

Intrinsic Motivation and Creative Behavior: Moderating Roleof Active Efforts

Sayaka Shinohara, Tetsushi Fujimoto, Hideki Shimizu-Tanaka, Yoshifumi
NakataDoshisha University, Japan

According to the social-psychological research on creativity, intrinsic
motivation for work is one of the significant factors associated withworkers’ creative behavior [2]. In addition to be highly motivated towork, having opportunities for active efforts, including selflearning,might have significant impact on creative job performance. Thus, we
expect that employees with strong intrinsic motivation for work andopportunities for active efforts are likely to behave creatively at work.
Using data from male Research and Development engineers in a
Japanese automotive manufacturing group, this study investigates themoderating role of active efforts in the relationship between engineers’
intrinsic motivation and creative behavior. We found that intrinsic
motivation for work was positively associated with engineers’ creative
behavior. Furthermore, as we expected, the positive effect of intrinsic
motivation on creative behavior becomes stronger when engineers haveincreased opportunities active efforts.

Technology Transfer Portals: A Design Model for Supporting
Technology Transfer via Social Software Solutions
Günther Schuh1, Susanne Aghassi2
1
RWTH Aachen University, Germany
2
Fraunhofer Institute for Production Technology IPT, Germany

For staying competitive in times of shorter product life cycles,
increasing technology complexity and rising efforts for technology
development, inter- as well as intra-organizational technology transfer
is once again gaining importance. In the past decade, the spreading of
the Internet, faster Internet connections and more and more powerful
web technologies – especially social software – paved a novel way forsupporting technology transfer. Web based technology transfer portals
offer a great potential for supporting technology transfer, especially in
its early phases by bringing together technology demand and offer.
However, technology transfer portals must be designed carefully inorder to meet future users’ needs and thus being successful in operation.
In this paper a framework for designing these platforms according to
specific transfer situations will be presented, taking into account thecharacteristics and goals of the portal operator and transfer partners aswell as characteristics of the technologies to be transferred through theportal.

32

Comparison of Indicators to Detect Emerging Researches
using Time Transition in Quasicrystals
Shino Iwami1, Junichiro Mori1, Yuya Kajikawa2, Ichiro Sakata1
1
The University of Tokyo, Japan
2
Tokyo Institute of Technology, JapanTo survive worldwide competitions of research and development,
decision-makers and researchers must detect the cutting-edge areas at
the earlier stage. Now that computers enable us to process a large
amount of data efficiently, bibliometric analysis can support
decision-makers and researchers to invest into proper researches. We
aim to find leading papers of the next generation with bibliometricapproach.
We analyzed time transitions of indicators, and found that in-degree
centrality, comminucability centrality and pagerank are useful as theindicators to detect emerging researches.

Identity Management for the Requirements of theInformation Security
Mirley Ferreira, Kelly Alonso
Fluminense Federal University, Brazil

One of the factors in successful information security management is theintegration of security policies, process, people and technology. The
deployment of identity management integrates these factors andprovides benefits to management. This paper aims to draw the process
flow for a system of identity management and access (IdM) of amultinational company in the mining sector. In order to create a unique
identification to user in all corporate information systems and astandardization process for access request. For this, a search was
conducted in literature and a case to identify the business need. Finally,
the study identified and showed the principal benefits generated by
new process following the demands of SOX law.

Knowledge Management in the Chinese Local Beer Market:
A Case Study
Jiageng Duan, Nachiappan Subramanian, Muhammad Abdulrahman
The University of Nottingham, China

Knowledge management has become an important resource forachieving success in today’s uncompromising competitive market
environment. Past studies have shown that knowledge management
can significantly improve organization’s performance and createcompetitive advantages. However, the implementation anddevelopment of knowledge management is an ongoing and difficult
task. In this study, we examine the development and practices ofknowledge management in a Chinese local beer company, including theincorporation of its supply chain members in such practices. It isobserved that having a huge market share can temporarily suppress theimportance of and the need for knowledge management practices,
especially the need for forecasting related knowledge management.

32

Session
Date
Time
Room
ChairsOR 1 Operations Research (1)12/11/2013
13:30 - 15:00
Salon B
Mohamed K. Omar, Amir Azaron

Mathematical Modeling of Co2e Emissions in One-to-one
Pickup and Delivery Problems
Emrah Demir, Tom Van Woensel
Technology University of Eindhoven, Netherlands

The road freight transportation sector is a significant emitter of carbon
dioxide equivalents (CO2e), which are directly proportional to fuelconsumption. Multi-vehicle, multi-depot one-to-one pickup anddelivery pollution-routing problem (PDPRP) is an extension of theclassical vehicle routing problem with time windows (PDVRPTW)
which consists of routing a number of vehicles to serve a set ofcustomers and deciding on their speed on each route so as to minimize
a total function comprising fuel and driver costs. A mathematical modelof the one-to-one PDPRP is non-linear in nature, although it can belinearized and represented as a mixed integer linear programming
formulation. Computational results show the importance of using fuelconsumption objective instead of distance- or time-based cost functions.

G/G/1 Models for a Single Machine under Different Types ofInterruptions
Kan Wu1, Ning Zhao2
1
Georgia Tech, United States
2
Kunming University of Science and Technology, China

Queueing theory is commonly used to evaluate the performance of
manufacturing systems. Due to the complex nature of interruptions inpractice, existing models cannot provide reliable estimates of theperformance. This paper proposes a systematic way to classify different
types of interruptions seen in a single machine system and suggests
proper queueing models for each category. The G/G/1 approximate
models are derived based on the insight from comparing different
interruption types.

Improving Productivity of the SMEs in Singapore – Case
Studies
Aloysious Lee, Roland Lim, Bin Ma, Laura Xiao Xia Xu
Singapore Institute of Manufacturing Technology, Singapore

For the Small and Medium Enterprises (SMEs) in Singapore, survivaland growth depend critically on improving their productivity and thus
helps Singapore to develop into an Operational Excellence
Manufacturing hub in the world. Unfortunately, most of the current
productivity planning methodologies is being developed from theperspective of the larger multinational companies (MNCs). This paper
presents the Operations Management Innovation (OMNI) Programmewith a productivity planning methodology that provides practical andprocedural aid for productivity planning efforts for SMEs in Singapore,
and applies it to three industry case studies. The discussions will
highlight how the programme together with the methodology guides
the practitioner through a series of welldefined steps necessary to
improve productivity and achieve operational excellence.

33

A Note on Computing the Exact Probability Distribution of
the Project Completion Time in a Stochastic PERT Network
Zdzisław Milian
Cracow University of Technology, Poland

In this paper a recursive method of determining the exact probability
distribution of the project completion time in stochastic PERT networks
is presented. It is assumed that durations of particular tasks are
independent random variables with known distributions. The method
concerns any network and can be applied in the case of any continuous
distributions of task durations. Examples of exact density functions ofproject completion time for some networks are given. A comparison
with the straightforward method is also included.

A Bi-level Model for Resource-Constrained Multiple Project
Scheduling Problems
Zhe Zhang1, Yang Wang2
1
Nanjing University of Science and Technology, China
2
Sichuan University, China

The aim of this paper is to present a bi-level model for the
resource-constrained multiple project scheduling problems (RCMPSP).
For the practical situation, the complex hierarchical organization
structure and birandom environment are considered in the decision
making process. For solving the bi-level model, improved particle
swarm optimization algorithm is designed to obtain the optimal
solutions. The results of an illustrative example are presented tohighlight the practicality and efficiency of the proposed model andalgorithm.

A Novel Multi-Objective Fuzzy Mathematical Model for
Designing a Sustainable Supply Chain Network Considering
Outsourcing Risk under Uncertainty
Firoozi Mehdi1, Ali Siadat1, Nima Salehi2, S. M. Mousavi2
1
Arts et Métier Paris Tech, France
2
University of Tehran, Iran

Industry managers and strategy planners are under rising pressure tocontinuously develop sustainable supply chains economically,
environmentally and socially. The design of sustainable supply chain
networks has attracted more attention in recent years according tobusiness and environmental factors. In today’s competitiveenvironment the selection of appropriate suppliers is a considerably
significant decision for an effective supply chain management.
Appropriate suppliers reduce purchasing costs, decrease production
lead time and defects, increase customer satisfaction and strengthen
corporate competitiveness. This research proposes a bi-objective fuzzy
mathematical programming model for designing the strategic
configuration of a sustainable supply chain network under uncertain
conditions. An original equipment manufacturer that is concerned withminimizing the environmental impact of its activities and risks should
design the network based on the trade-off between costs and respective
emissions. The negative environmental impact is assessed bymeasuring CO2 emission during the manufacturing, remanufacturing
and transportations.

33

Session
Date
Time
Room
ChairsOR 2 Operations Research (2)12/11/2013
15:30 - 17:30
Salon B
Kiyoshi Sawada, Ning Zhao

An Improved Heuristic Algorithm for the Special Case of the
Set Covering Problem
Amnon Gonen, Tzhi Avrahami, Uriel Israeli
HIT - Holon Institute of Technology, Israel

The set covering problem is well known as an NPcomplete problem. A
common heuristic family of algorithms that solves the problem is theGreedy type algorithm. In this study, we have to cover N sites by
allocating a minimum number of servers. Each server covers apredefined pattern and, by locating it to a site K, it covers its neighbours
according to its pattern. The Improved Heuristic Algorithm (IHA)
presented here looks, at each iteration, for the most "problematic" site to
be covered and selects the best server that covers it.
The study compares the IHA with the Greedy algorithm. The results
show that in most cases, for symmetric severs, the IHA finds a better
solution (more than 10,000 problems were tested). For big problems ofabove 600 sites, the probability of finding a better solution is over 80%.
However, the computing time of the IHA is much higher than that of
the Greedy algorithm.
Analyzing some cases where the Greedy algorithm found better
solutions than the IHA brought us to the conclusion that the weaknessof the IHA resides in the selection part of the minimal server’s location.
However, we have not yet determined the best solution for these cases.

Efficiency Improvement in Explicit Enumeration for Integer
Programming Problems
Shin-Guang Chen
Tungnan University, Taiwan

An integer programming problem is a mathematical optimization or
feasibility program in which some or all of the variables are restricted to
be integers. In many cases, the problems can be divided into integer
linear programming (ILP) problems and integer non-linear
programming (INLP) problems. A more complex problems are mixed
integer programming (MIP) problems. There are many algorithms towell solve ILP problems. However, there are relatively fewer algorithms
to solve INLP problems. In most situations, the explicit enumeration
method (EEM) can be used to solve both kinds of problems. EEM isvery simple to implement but with the price of low efficiency. This
paper proposes an efficient approach namely Chen’s rearrangement toimprove the efficiency in explicit enumeration for integer programming
problems. Part of them can also be applied to MIP problems. Aninteresting example is explored to explain the proposed approach.

Optimal Pricing and Inventory Policy with Delayed
Payments and Order Cancelations
Jie Zhang1, Baozhuang Niu2
1
Guangdong University of Finance and Economics, China
2
Lingnan College, Sun Yat-sen University, China

Considering a periodic review system where the seller allows
customers’ delayed payments, referred to as cash-on-delivery payment
scheme, we investigate the seller’s optimal pricing and inventory
control policy. Specifically, we examine the impact of customers’ ordercancelations, possibly due to their expectation of price markdown in the
future. Under mild conditions, we show that the base-stock list pricepolicy is optimal. We also investigate the impact of the customers’
strategic behavior of order cancelation and their price sensitivity on the
optimal retail price and inventory policy.

Optimal Scheduling Problem for Taiwan Post OfficeCounters and Manpower
Gwo-Liang Liao, Wen-Hsin Chiang
National Taitung University, Taiwan

In this study, we develop several models that combine with queuingtheory in order to help a post office to solve the optimization of staff
numbers at services counters comply with practical demands. The
models are formulated using linear programming. A numericalexample is presented to illustrate the models and the solution method
using real data from a post office in eastern Taiwan. Analytical results
indicate that the proposed models are efficient in improving service
efficiency and customer satisfaction, and can be a reference for practicalmanpower allocation in the post office.

Modeling and Solution of Practical Airline Crew Scheduling
Problems

Yu Iijima1, Tatsushi Nishi1, Masahiro Inuiguchi1, Satoru Takahashi2, Kenji
Ueda2, Keiji Ojima3
1
Osaka University, Japan2
Mitsubishi Electric Corporation, Japan3
Mitsubishi Electric Information Systems Corporation, Japan

We study on the modeling and solution of practical airline crewscheduling problems. The problem determines a feasible assignment offlight duties to the set of crews. Two types of integer programming
formulations with cell model and graph models are developed. An
efficient solution algorithm based on labeling algorithm is proposed.
The validity of the proposed models is compared by using ageneral-purpose solver. The computational results show that cell model
is better than those of the graph model with less decision variables.

A New Methodology for Solving Multi-Objective Stochastic
Optimization Problems with Independent Objective
Functions

Saltuk Selcuklu1, David Coit1, Frank Felder1, Mark Rodgers1, Naruemon
Wattanapongsakorn2
1
Rutgers University, United States
2
King Mongkut's University of Technology Thonburi, Thailand

For multi-objective optimization problems, a common solution
methodology is to determine a Pareto optimal set. However, the Pareto
optimal set only pertains to deterministic results. Our research aims tointroduce Pareto Uncertainty Index which reflects the stochastic natureof the problem in the results. The proposed method is applied to asimplified Generation Expansion Planning problem to test the Pareto
Uncertainty Index idea.

34

34

Session
Date
Time
Room
Chairs

HF 1 Human Factors (1)12/11/2013
13:30 - 15:00
Rachavadee
Myung Hwan Yun, Kai-way Li

Knowing What a User Likes: Mobiquitous Home with NFC
Smartphone

Teh Pei-Lee1, Ahmed Pervaiz Khalid1, Soon-Nyean Cheong2, Alan H.S. Chan3,
Wen-Jiun Yap2
1
Monash University, Malaysia
2
Multimedia University, Malaysia
3City University of Hong Kong, Hong Kong SAR

The gaining popularity of Near Field Communication (NFC)-enabledapplications has been facilitated by increased levels of NFC smartphone
adoption. However, the existing touch-driven interaction using NFC
smartphone for home environment is neither quick nor convenient. The
primary contribution of this paper is to introduce a novel solution for aconvenient mobiquitous home service, allowing users to operate digitalappliances upon touching a photo interface with their NFC
smartphones. This system is known as NFC Smartphone Entertainment
Systems (NFC SES). This paper also validates the user perception andbehavioral intention to use NFC SES. Fifty-two participants participatedin the experiment and user evaluation. Results indicated that perceived
ease of use was a causal antecedent to perceived usefulness.
Individuals’ behavioral intention to use NFC SES was built throughuser’s perceived usefulness and convenience. Our findings offer a fresh
insight for scholars, mobile device manufacturers and service providers
in developing NFC-enabled applications.

Anthropometric Measures and Static Muscular Strengths for
Youths Males and Females
Kai-Way Li, Chao-Cheng Su, Szu-Yin Huang
Chung Hua University, Taiwan

Teenagers are in a growth spurt both in body dimensions and inphysical strength. Isometric strength is commonly adopted to indicate
the physical capability of humans to perform manual tasks. This study
presents the data collected from 120 adolescences concerning theiranthropometric measures and four isometric strengths. Both youth
males and females, aged 13 to 15 years old, were recruited formeasurements. The results of the study indicated that all the four
strength were significantly (p<0.05) affected by age and gender. Amongthe four strengths, isometric back strength was significantly (p<0.05) the
highest, next with the isometric leg strength, and next the isometricshoulder strength, and finally the isometric arm strength. The 15 years
old subjects had significantly the highest isometric strengths than theother two age groups. It was found that the isometric strengths forfemale subjects were approximately two third of those of the malesubjects. The Pearson’s correlation coefficients between the variables
were calculated. Stature and body weight were found to be the twomost significant parameters related to the isometric strengths of thesubjects. These strength data are valuable for designs not only inmanual handling tasks but also in the facilities involving physicalactivities for teenagers.

Relationship between Floor-type Gait Adaptations andRequired Coefficient of Friction
Kai-Way Li, Szu Yin Huang, Chien Wen Wang
Chung Hua University, Taiwan

A gait experiment was conducted. Female subjects were requested towalk, with or without shoes, on a walkway at 2.5 km/hr. Four floors andthree surface conditions were tested. The ground reaction forces werecollected using a force platform. The required coefficient of friction(RCOF) was calculated. The peak RCOF was analyzed. The results
indicated that the floor, surface, and shod conditions were all significant
factors affecting the RCOF. The interaction effects of the shod × floor
were also significant. The RCOF for the barefoot conditions was
significantly lower than that of the shod conditions. The multiple
comparison test results indicated that ceramic and steel floors had bothsignificantly higher RCOF than those of the vinyl and wood floors. For
surface conditions, dry surface had significantly the highest RCOF
among all surfaces. The RCOF on the wet surfaces were significantly
higher than that on the glycerol contaminated surfaces.

35

Subjective Rating of Floor Slipperiness & Slip/Fall
Outcomes in a Gait Experiment
Kai-Way Li, Chien Wen Wang, Szu-Yin Huang
Chung Hua University, Taiwan

Slips and falls create major burdens for both the industries and oursociety. A gait experiment was conducted in this study. The subject
walked on a 6 m walkway with or without shoes and stepped on atested area. The tested area was covered with one of the four floors:
steel, wood, vinyl, and ceramic. The surface of the tested area might bedry, wet, or oily-contaminated. The subjective rating of floorslipperiness on the testing area was collected after the walk. The
outcome of a trial was also recorded as without slip/fall, slippedwithout fall, or slipped and fall. It was found that the subjective ratingsof floor slipperiness between the barefoot condition and shod condition
were statistically significantly (p<0.0001) on both dry and oily floors.
Chi-square homogeneity tests on the outcome of slip/fall were
performed. The results showed that the distribution of slip/falloutcomes were associated with the with/without shoes conditions.
More slipped and fall cases were observed when the subjects were
barefooted.

Quantification of Human Error Rate in Underground Coal
Mines - A Fuzzy Mapping and Rough Set Based Approach

Suprakash Gupta, Pramod Kumar, Netai Chandra Karmakar, Sanjay Kumar
Palei
Indian Institute of Technology (BHU), India

A precise value of human error rate is imperative to probabilistic safety
and risk analysis. Prevailing methods for error quantification are
domain specific and provide a crude estimate only. Human error rate(HER) in mines are influenced by the context or performance conditions
that are assessed using a set of context describing factors (CDFs). A setof linguistic levels describe the state of the CDFs. An exhaustive set of
possible combination of CDFs represent the universal set of context.
The relation between context and human error rate can be modeled by
mapping the fuzzy set of context to the fuzzy set of HER. The HER of amine can be estimated from the subjective assessment of CDFs using
the concept of rough set.

A Case Study Evaluating the Impact of Human Behavior on a
Manufacturing Process In-line with Automatic Processes by
Means of a Simulation Model
Ana Eduarda Sa Silva1, Michael Donauer1, Americo Azevedo1, Paulo Peças2,
Elsa Henriques2
1
University of Porto, Portugal
2
Instituto Superior Técnico, Portugal

In many manufacturing systems human resources are essential in somecognitive intensive tasks while the more repetitive ones are assigned toautomatic systems. If on the one hand, automation has a deterministic
pace; humans are known by a flexible and variable work manner.
Therefore, a reliable description of both hardware and human
components is required for designing such manufacturing systems.
The purpose of this paper is to investigate the impact of the variablethroughput of a manual process in a production flow that contains
automatic processes upstream and downstream. With regard to thedescription of human behavior, two sources of variability wereconsidered: natural and abnormal variability. Natural variability refers
to the differences in terms of processing times that can be found amongindividuals. Organizational aspects such delays in shift changing andbreaks along the shift, are referred as abnormal variability, and werealso investigated by means of an analytical and simulation models.

35

Session
Date
Time
Room
ChairsDM 1 Decision Analysis & Methods (1)12/11/2013
15:30 - 17:30
Rachavadee
Yves De Smet, Naragain Phumchusri

Leadership Selection, Punishment Salience and Cooperation
Yanmei Li1, Miao Chao2
1
Chinese Academy of Sciences, China
2
University of Chinese Academy of Sciences, China

Power, punishment, and leadership selection influence cooperation. In
this research, we test the hypothesis that salient punishment, rather
than non-salient punishment, can improve the cooperation of thepowerholders selected through exams (e.g., civil servants) and thatpunishment, whether salient or non-salient, can improve thecooperation of the powerless. Results of the experiment that used thecommons dilemma provide evidence for this hypothesis and are
discussed in terms of leadership selection, punishment salience, andfurther implications for corruption prevention.

Efficiency and Productivity Growth of Technology-Based
Firms in Business Incubators: A DEA and Malmquist Index
Approach
José Santos, Antonio Grilo
Universidade Nova de Lisboa, Portugal

Business Incubators can play a major role in helping to turn a businessidea into a technology based organization economically efficient.
However, there is a shortage in the literature regarding the efficiency
evaluation and productivity evolution of the new technology-based
firms (NTBFs) in the incubation scope. This study aims to develop amodel based on the Data Envelopment Analysis (DEA) methodology,
which allows the incubated NTBFs to evaluate and improve theefficiency of their management. Moreover, Malmquist index is used to
examine productivity change. The index is decomposed into multiple
components to give insights into the root sources of productivity
change. The proposed model was applied on a case study with 13
NTBFs incubated. In the case study it was possible to conclude thatinefficient firms invest excessively in Research and Development (R&D),
and on average, firms have a productivity growth in the period ofstudy.

A Decision Analysis for the Dynamic Crop Rotation Modelwith Markov Process's Concept
Tyrone T. Lin, Chung-Hsiao Hsieh
National Dong Hwa University, Taiwan

This paper mainly explores when the agricultural industry faces grain
crop price fluctuations and natural climate changes, it will take whichlevel of price of grain crops and what probability of climate changes fordeveloping a dynamic grain crop rotation model. In the previous paper
the authors introduce the mixed strategy of game theory to construct a
2-player game. In consideration of the pursuit of the maximization of
their own interests, the decision-making of dynamic grain crop rotationis the main focus of the previous paper, and it will be extended to a
multiple stable dynamic grain crop rotation strategy cycle. And now theauthors develop a stationary Markov process as the basis for a final
decision. Markov chain is a method frequently used in decisionmaking and is a model simple to discuss.

36

A New Version of 2-Tuple Fuzzy Linguistic Screening
Evaluation Model in New Product Development

Wen-tao Guo, Van-Nam Huynh
Japan Advanced Institute of Science and Technology, JapanThe screening of new product projects is critically important for thesurvival of companies. Many approaches have been developed to deal
with this screening process. In this paper, we introduce a kind of
proportional 2-tuple fuzzy linguistic screening evaluation model andthe so-called preference preserving transformation based on canonicalcharacteristic values. It is shown that this new screening evaluation
model not only purges the traditional requirement of equal distance
between labels but also has the ability to reflect the confidence levels of
evaluators on judgments, whereby enriching the information of final
result and accordingly supplying a more comprehensive guidance fordecision-makers. A case study taken from the literature is used toilluminate the proposed technique.

The Position of Sustainable Corporate Social Responsibility
in the Process of Creating Sustainable Prosperity in theEuropean Union
Oliver Moravcik, Lubomir Smida, Peter Sakal
Slovak University of Technology, Slovakia (Slovak Republic)

The aim of the article is to analyse the status of Sustainable Corporate
Social Responsibility in the area of the European Union. The article
shows the development of the concept of Corporate Social
Responsibility. There is highlighted the enterprise potential to address
current social and environmental issues and achieve a competitive
advantage. Sustainable Corporate Social Responsibility reflects the needto implement socially responsible activities throughout whole value
chain and thus contribute to creating sustainable prosperity in theEuropean Union.

Evaluating and Benchmarking Operational Performance of
Manufacturing Facilities in Networks of Multinational
Corporations
Alireza Tavakoli, Marco Biesen
Fraunhofer Institute for Material Flow and Logistics, Germany

Many multinational corporations (MNCs) generate their revenue
abroad and feature different manufacturing facilities in various
countries. Within the network of a MNC, each facility exhibits its ownfunctional strategies. Thus, the individual strategic role of each facility
has to be considered in performance evaluations. However, popular
evaluation and benchmarking methods do not take this adequately into
account. Moreover, decision-makers are often overstrained withnumerous performance measures, which make evaluations even morechallenging. The purpose of this paper is to present a performance
evaluation and benchmarking method, which provides the possibility
to evaluate manufacturing facilities in networks of MNCs underconsideration of their individual functional strategies without
overstraining decision-makers with an excess of performance measures.
Based on an aggregated single index of overall performance, eachfacility is evaluated. In this way, operational performance can be easily
compared among all facilities in spite of their different functional
strategy.

36Session
Date
Time
Room
ChairsSC 1 Supply Chain Management (1)12/11/2013
13:30 - 15:00
Ubonchard
Gaurav Tejpal, Loganathan Ponnambalam

Optimization of Forest Vehicle Routing Using Reactive Tabu
Search Metaheuristic
Moussa Bagayoko1, Thien-My Dao1, Bathelemy-Hugues Ateme-Nguema2
1
École de technologie supérieure, Canada
2
Université du Québec en Abitibi-Témiscamingue (UQAT), Canada

Forest vehicle routing is an important step in optimization of forest
transportation system to minimize the total cost. To perform this work,
we propose a mathematical model and use a reactive tabu searchmetaheuristic approach. The objective is to minimize the total cost andrespecting the time window of all customers which is sometime
important in this field. Finally, the experimental results obtained withthe reactive tabu search metaheuristic approach of the named vehicle
routing problem is showed, and compared to its great deluge results.

An Inoperability Input-output Model (IIM) for Disruption
Propagation Analysis
Chin Sheng Tan1, Puay Siew Tan1, Siang Guan Lee2, Manh Tung Pham1
1
Singapore Institute of Manufacturing Technology, Singapore
2
Nanyang Technological University, Singapore

Today’s Supply Chains (SCs) are global and getting more complex, due
to the exigencies of the world economy, making them hard to manage.
This is exacerbated by the increasingly frequent occurrence of natural
disasters and other high impact disruptions. To stay competitive,
companies are therefore seeking ways to better understand the impact
of such disruptions to their SCs. In addressing this need, this paper
proposes an approach for disruption propagation analysis. We develop
a method based on a variation of an Inoperability Input-Output Model(adapted from a Leontief I-O model) to quantify the impact of
disruptions across the entire SC. We then analyse the factors that havethe most influential impacts on the SCs during disruptions. Initial
results show that trading volume handled by a company/ node is an
important factor in determining the disruption impact to SCs, besides
the number of SC partners (connections) as implied from previous
work.

Improvement to the Freight Management of ITAR Controlled
Items using Lean Six Sigma
Kin Meng Wong1, Tony Halim2, Yan Weng Tan1
1
SIM University, Singapore
2
Temasek Polytechnic, Singapore

This paper was conducted at an aircraft spare management company
located in Singapore, which support several overseas offices, including
the four offices located in US. Non-compliance findings were reportedby the US authorities on several occasions in the past one year withseveral warning being served to the organisation. To eradicate thisproblem, this paper attempts to identify the potential causes in theinaccuracy of the shipment preparation process using Lean Six Sigma
concepts and tools. The project successfully reviewed the shipment
preparation process using the DMAIC framework and identifies areasof improvement within the process, which were prioritised for review
and action. The eventual outcome exceeded the initial target of
improving the shipment process so as to reduce/eliminate theopportunity for error. The MRP review further improved theredistribution of spares, reducing the shipment frequency and balanceout the workload distribution among the warehouses.

37

Performance Measurement of a Dairy Supply Chain: A
Balance Scorecard Perspective

Gyan Prakash1, Rakesh Pant2
1
Indian Institute of Information Technology and Management Gwalior, India
2
Aligarh Muslim University, India

This article presents a case of the Indian dairy supply chain anddemonstrates how balance score card (BSC) may be used to measure its
performance. There are few studies which use BSC in the performancemeasurement of a food supply chain and no one has used it in thecontext of dairy supply chain. In this study, four components of BSC
have been adapted to measure various performance related issues
pertinent to the dairy supply chain in a State in India. Dairy supply
chain practitioners would find this approach useful for value
generation across various stages of dairy supply chain

Modeling Supply Risk using Belief Networks: A Processwith Application to the Distribution of Medicine
Kanogkan Leerojanaprapa, Robert van der Meer, Lesley Walls
University of Strathclyde, United Kingdom

We propose a modeling approach based on belief networks to capture
and understand the systemic nature of risks affecting supply networks.
By aligning the purpose of a model with the nature of supply
management decisions, we provide a mechanism for identifying
relevant supply risks so that we can visualize inter-dependencies
between risks and predict their effects on supply performance. By using
a belief network modeling formalism we can use diagnostics tounderstand the key drivers of unwanted risk scenarios and to explore
the efficacy of possible risk mitigating actions. We illustrate how belief
network modeling can be used to manage the risk/reward position andprovide new insights into supply risks through an example for the
medicine supply chain of a regional health service provider.

Social Media for Supply Chain Risk Management

Xiuju Fu, Rick Siow Mong Goh, Joo Chuan Tong, Loganathan Ponnambalam,
Xiao Feng Yin, Zhaoxia Wang, Haiyan Xu, Sifei Lu
Institute of High Performance Computing, Singapore

With the rapid increase of online social network users worldwide, social
media feeds have become a rich and valuable information resource andattract great attention across diversified domains. In social media data,
there are abundant contents of two-way and interactive communication
about products, demand, customer services and supply. This makessocial media a valuable channel for listening to the voices from themarket and measuring supply chain risks and new market trends forcompanies. In this study, we surveyed the potential value of social
media in supply chain risk management (SCRM) and examined how
they can be applied to SCRM systematically. We found that while suchmedium is very useful in supply chain risk management, it also brings
along a new risk to supply chains, so called social media risk, as supply
chain incidents may be rapidly transmitted and magnified throughsocial media platforms worldwide. Accordingly, a new framework is
proposed that assists the hiring of social media to serve supply chain
risk management tasks.

37

Session
Date
Time
Room
ChairsSC 2 Supply Chain Management (2)12/11/2013
15:30 - 17:30
Ubonchard
Jui-Sheng Chou, Regena Scott

Time-phasing and Decoupling Points as Analytical Tools forPurchasing
Jenny Backstrand1, Joakim Wikner2
1
Jonkoping University, Sweden
2
Jonkoping University/Linköping University, Sweden

Customization and customer-driven manufacturing are both explicitly
based on end-customer relations and customer requirements. The
impact of these aspects on internal operations is relatively well known
and can be investigated using time phasing and decoupling points.
These tools are however rarely used for analyzing purchased material.
Based on the time phased product structure, items are categorizedaccording to three criteria: driver, uniqueness, and make/buy.
Purchased items can thus be identified using the last criteria and thendriver and uniqueness are used as a point of departure for categorizing
purchased material. The approach hence provides a platform fordevelopment of supplier relations based on the customer requirements
which is the core theme of the method for customer-driven purchasing.

An Integration of AHP Approach and Bayes Classification
Algorithm in Supplier Selection
Felix Chan, Nick Chung, Jenny Chow, Ben Niu
The Hong Kong Polytechnic University, Hong Kong SAR

Weight of criteria can only be changed through discussion or analysis ofexperts under traditional supplier selection method, which brings up
two problems: (1) human effect problem and (2) incapability in timely
decision making on updates of weights. In this paper, a new supplierselection method based on integration of Analytic Hierarchy Process,the Bayesian Classifier Algorithm and dynamic probabilities(AHP-BCA) is proposed. The method makes predictions with theprobabilities of occurrences of criteria values based on historical records
to avoid any human effects in decision making. It is also equipped withan instant self-update function to instantly update the probability
values with new data, and be ready for next calculation. A simulation
experiment is conducted to compare the performance of the proposed
approach with a remarkable traditional approach in literature withhistorical data. Results show that the proposed approach canoutperform the traditional one in achieving better selection results.

Optimal Pricing and Returns Policies for Innovative Productswith the One-Shot Decision Theory
X. Ma, Peijun Guo
Yokohama National University, Japan

This paper deals with the channel coordination problem in the supply
chain for an innovative product. The partially known information about
the demand is represented by a possibility distribution. Since the life
cycle of the innovative product is short, how to determine the optimalorder amount is a typical one-shot decision problem. With the one-shotdecision theory, Stackelberg equilibriums are obtained for the optimal
wholesale price of the manufacturer and the optimal order quantity of
the retailer with price-only contract (asymmetric information) andreturns (symmetric information). The channel coordination is achievedby using returns policies. The proposed models are scenario-based
decision models which provide a fundamental alternative to analyze
issues of channel coordination for innovative products.

38

Barriers to Green Supply Chain Implementation in theElectronics Industry
Sorraya Khiewnavawongsa1, Edie Schmidt2
1
Chiang Mai University, Thailand
2
Purdue University, United States

This study identifies barriers to green supply chain management
implementation in the electronics industry. The study explores factorsthat prevent companies from implementing green projects, andidentifies green implementation types that the electronics industry has
adopted. Data was gathered by interview and survey methods, which
participants represented manufacturers and distributors in the US
electronics industry. Survey questions included 33 barriers to green
implementation, and readiness to green implementation using six
implementation types. Data was analyzed by SPSS. Results showed thatthe financial impact is the major factor for green implementation byelectronics companies. Company size did not impact green supply
chain barriers. However, small-sized companies were less ready to
implement green initiatives for most projects. Generally, distributors
were more affected from barriers to green implementation thanmanufacturers. Electronics companies were most ready to implementwith green manufacturing and packaging projects while green
suppliers projects were least ready for implementation.

An EOQ Model with Consideration of Second-Trip In-Store
Replenishment
Vatcharapol Sukhotu1, Supachart Iamratanakul2
1
Asian Institute of Technology, Thailand
2
Kasetsart University, Thailand

Ideally, the aim of a retail store is single-trip in-store replenishment. In
other words, a store worker should only need to make a single trip tofill the shelves after a product has been delivered to the store. This canbe achieved if the size of the lot received is smaller than the shelf spaceminus the number of units left on the shelves at the time of shelf
replenishment. In this paper, we introduce the consideration of thein-store handling cost for the second trip in an EOQ-type model todetermine the optimal order quantity, given the available retail shelf
space. Our model considers the case where products are ordered in
multiple packs and one part of the distribution-handling cost is the cost
per each pack handled. The insights gained from the model will help
manufacturing managers, vendors and retail managers make better
decisions with regard to the lot size produced, ordered, and delivered
as part of an effective supply chain management strategy.

Prioritizing Lean Supply Chain Management Initiatives in
Healthcare Service Operations: A Fuzzy-AHP Approach
Tritos Laosirihongthong1, Premaratne Samaranayake2, Dotun Adebanjo3
1
Thammasat University, Thailand
2
University of Western Sydney, Australia
3
University of Greenwich, United Kingdom

The main purpose of this study is to propose a holistic approach forprioritizing lean SCM initiatives in healthcare service operations, basedon relative weights of various initiatives on a range of performancemeasures for better understanding of what motivations and supporting
factors influence the selection of LSCM initiative/strategy. Twenty-four
LSCM initiatives were identified, using a comprehensive literature
review. Q-sort method was initially used to categorize those initiatives
into four categories: (a) Continuous process improvement; (b)Enterprise alignment/integration; (c) Waste elimination; and (d) Flow
management/JIT. Fuzzy AHP was used to prioritize the four categories
based on its relative weight of importance on three different
performance dimensions. The result shows that continuous
improvement is a dominating LSCM initiative in increasing operationaland financial performance while enterprise alignment/integration is adominating initiative in enhancing organizational images andoperational performance. Finally, it is noted that customer needs andinfluence are the most important drivers to encourage hospital to adopt
LSCM strategy.

38

Session
Date
Time
Room
ChairsSI 1 Service Innovation & Management (1)12/11/2013
13:30 - 15:00
JamjureeHan Tong Loh, Alexandra Medina-Borja

Service Performance Evaluation using Fuzzy Semantic
Extraction of On-line Reviews
A. Medina-Borja, M. Carrasco
University of Puerto Rico at Mayaguez, Puerto Rico

We are presenting a methodological approach to transform customer
online reviews into quantitative metrics with the purpose ofincorporating them into a service performance benchmarking
methodology. We build on existing work in different fields, namely
sentiment analysis and semantic orientation to extract the online
opinions, and fuzzy logic to quantify the results into representative
metrics of service quality. Fuzzy numbers were used to represent the
linguistic scale behind customer online comments that reflect theirevaluation of the service. We then use Data Envelopment Analysis(DEA) to quantify the performance of comparable service units. We test
our methodology using published tourist destination data for the
Caribbean Islands in addition to online reviews left by visitors to eachisland in a well-known customer review website.

Investigation of Team Composition and Task-related Conflictas Determinants of Engineering Service Productivity
Philipp M. Przybysz, Soenke Duckwitz, Susanne Mütze-Niewöhner,
Christopher M. Schlick
RWTH Aachen University, Germany

Although the early phases of engineering service projects are essential
for product success, methods and tools to proactively andcomprehensively evaluate the productivity of complex service
processes are rare. In this paper the effects of team composition in termsof age diversity and task-related conflict on the outcome of a R&D task
are examined in a laboratory experiment. Age heterogeneous and age
homogeneous project teams were build and the level of task-related
conflict was measured by means of an established instrument as aqualitative team aspect. In the outcome dimension the number of ideas
generated during a brainstorming represents the quantitative teamperformance. To obtain also a quality oriented view of teamperformance, the final task results were evaluated by domain experts.
This evaluation allows the analysis of the impact of one isolated
influence factor on service productivity across the whole chain of value
creation within a complex engineering service setting.

The Service Science Practical Research of the BEST Model:
The C telco’s IPTV Service in Taiwan as the Example
Hung Chih Lai1, Yao Cheng Yu2, Kae Kuen Hu2, Chien-Ming Tung2
1
Shih Chien University, Taiwan
2
National Taiwan University, Taiwan

IPTV is a developing and advanced competitive service in the media
market. However, IPTV markets all over the world seems very different.
For example, the IPTV development of EU countries is faster than Asian
countries. The research utilized some convergence methodologies toverify why the subscription of C telco's IPTV in Taiwan is too low to
expand economies of scale. We recommend that C company must havea positive and aggressive attitude to battle the multimedia war.
Secondly, C company need to improve their watching and remoteutility of user experience. Thirdly, C company must set a barrier (suchas developing a killer application) to remind consumers' motivation or
avoid other potential competitor coming.

39

Influencing Factors on the Productivity ofKnowledge-intensive Services

Robert Stranzenbach1, Alexander Rannacher1, Flavius Sturm2, Susanne
Mütze-Niewöhner1
1
RWTH Aachen University, Germany
2
University of Stuttgart, Germany

In this paper it will be explicated which are the most important
influencing factors on the productivity of knowledge-intensive services.
After a short introduction about knowledge-intensive services andresearch proceedings the authors will present the identified influencing
factors on the productivity of knowledge intensive services. These
influencing factors will be assigned to the three dimensions of theservice provision: Potential, process and outcome. Conclusive thefindings and especially the influencing factors will be discussed and an
outlook on further research will be given.

Design Driven Product-Service Innovation in Manufacturing
David Opresnik, Christian Zanetti, Marco TaischPolitecnico di Milano, Italy

Often different research fields provide their own perspective on thesame topic, many times implicitly and unknowingly. If made aware oneof each other, they could purposively draw from each other, creatingnovel archetypical solutions in their own field. Conversely, suchattempts are scant. Correspondingly, the purpose of this article is to
scrutinize the bidirectional linkage between the pervasive concept of
Product-Services (P-S) in manufacturing with the novel innovation
strategy Design Driven Innovation (DDI). The latter aims at providing
radical changes in the meaning of the product. Our findings depict that
the P-S strategy is a viable approach to create radical changes ofmeaning using DDI, which is not solely oriented on existing users’
needs, but is foremost creating new ones. This findings call for arevision of existing definition of servitization. Finally, the potential
benefits of PS are depicted in the DDI strategy.

Service Performance Assessment and GovernanceMarco Taisch1, Mohammadreza Heydari Alamdari1, Christian Zanetti1,
Margherita Peruzzini2
1
Politecnico di Milano, Italy
2
Indesit Company, Italy

Performance Indicators (PIs) are designed to help organizations anddecision makers to better understand how well they are performing in
relation to their strategic and tactical goals; nowadays, numerous
methods and tools have been developed to facilitate the generation andselection of the most suitable PIs. Especially in the service sectors,
service performance assessment methods should be used to develop a
coherent and comprehensive set of service driven performanceindicators. The basic idea behind a performance assessment method in
the service system is to generate and select the performance indicators
to be used by the members of the service delivery eco-system, which
represent the actors for the delivery of services. In this respect, thepurpose of this paper is to lay out a method for generating and selecting
the performance indicators related to particular service system
requirements. To accomplish this, the proposed method will be defined
to optimize monitoring and controlling activities within a service
system. In order to be able to produce meaningful results a case study ispresented, where the method has been adopted by a company
producing domestic appliances.

39

Session
Date
Time
Room
ChairsQC 1 Quality Control & Management (1)12/11/2013
15:30 - 17:30
JamjureeHenrik Eriksson, Nachiappan SubramanianDetecting High Incidence by Using Variable Scan Radius
Chen-ju Lin, Yi-chun Shu
Yuan Ze University, Taiwan

This research aims at detecting spatiotemporal clustering withincreased mean. Scan statistics are popular methods for spatiotemporal
surveillance. Several likelihood-ratio (LR) and exponentially weighted
moving average (EWMA) based scan statistics have been studied for the
scenarios with known or unknown size of shifted coverage. However,
the existing EWMA-based methods applying fixed radii may not be
efficient to detect the cluster with unknown shifted coverage. This
paper proposed an EWMA-based scan statistic with variable scan radii
to detect clustering instead. The proposed statistic weights theobservations by distance in each circular scan window and uses the
EWMA technique across the temporal axis. Comparing to the LR-based
scan statistic with variable scan radii, the proposed method can be moresensitive when clusters occur at the early stage. The proposed method
would have advantage in solving practical problems with unknown
size of shift coverage.

Application of Six Sigma Methodology for a Manufacturing
Cell- A Case Study
Vijaya Kumar, V Prashant, K N Subramanya, N S Narahari
R.V.College of Engineering, India

A medium scale Auto Component manufacturing unit produces Link,
Valve, Motor Piston, CAM shaft and Universal joint. The initial study
revealed that 80% of total defects were due to link component. The 1500
parts / day of link is produced. The work carried out focused on
improving quality of link using Define, Measure, Analyze, Improve,
Control [DMAIC] methodology. A supplier, Inputs, Process, Outputs,
Customers [SIPOC] and High level process mapping was used as tools.
There were 11 Critical To Quality [CTQ] parameters identified. Low
sigma value for outer diameter was traced by conducting Process
Capability Studies. Causes for Low Process Capability [Cp] & Process
Performance [Cpk] values were determined through brainstorming.
Failure Modes and Effects Analysis [FMEA] was also used tounderstand effects of different parameters and methods to control. The
outcome of the work improved sigma level for outer diameter increased
from 1.96 to 4.83.

Prediction of Energy Consumption Indices in the
Automotive Industry
Antonio Almeida1, Americo Azevedo2, Alvaro Caldas3
1
INESC Porto / University of Porto, Portugal
2
University of Porto, Portugal
3
INESC Porto, Portugal

Since the automotive industry is one of the most competitive markets,
key players should be capable of evolving their management strategy
from a reactive to proactive approach. This way, it is critical for this typeof companies to explore a new performance management approach
where an effective interaction between the strategic and operational
layers should be achieved.
In line with this vision, a framework is presented that helps
stakeholders make decisions based on the ability to anticipate future
performance behaviours. Using leading indicators as reference, the key
idea is to structure and model the existing knowledge within amathematical tool, in order to project the manufacturing system’s
behaviour into the future.
In order to show the reliability and importance of this framework, thispaper presents a research performed at an automotive plant. The aim is
to model the factors affecting energy consumption and thus estimate
the future behaviour in terms of sustainability issues.

40

A Mathematical Framework for Parameter Designing Under
the Noise: A Case Study from a Conventional Turning
MachineR.M. Chandima Ratnayake
University of Stavanger, Norway

In parameter design, the best settings for the control factors thatminimize quality loss in a particular manufacturing operation aredetermined. In this process, it is possible to carry out minimization of
the manufacturing cost, showing sensitivity to noise and quality loss
with existing wide tolerances on the noise factors, low-grade
components and materials. This manuscript proposes a mathematicalframework for parameter designing under the existing noise. The
mathematical framework has been proposed using the 'parameter
design' approach suggested in the robust design approach (RDA). The'˜parameter design' focuses on designing a process to make theperformance minimally sensitive to the different causes of variation.
Use of the framework has been illustrated with a case study, which has
been performed using a conventional turning machine. The possibilityof improving the quality under the noise due to age-related
deterioration of the selected turning machine and the particular
manufacturing environment has been demonstrated.

Who Needs to Learn What from Whom? Understanding
Quality Management by Differentiating Organisations andPractices
Henrik Eriksson
Chalmers University of Technology, Sweden

The purpose of this paper is to understand quality management bydescribing differences between organisations and practices. This study
looks at the scores for different criteria from the different quality award
applicants in Sweden between 1992 and 2010. It is noteworthy tomention that the service industry outperforms the manufacturingindustry. Furthermore, and maybe not surprisingly, large organisations
are ahead of small and medium enterprises in the race for quality
progress. In general, when comparing public with private organisations,private organisations do better, and especially process issues seem to beeasier for private firms. This study also suggests that process
management as it is described and taught needs to be revised to better
fit the organisations. The time has come to question old truths about
quality management, especially regarding who is better than whom atwhat, and who needs to learn what from whom.

A Conceptual Readiness Framework for Statistical Process
Control (SPC) Deployment
Sarina Abdul Halim Lim, Jiju Antony
University of Strathclyde, United Kingdom

It is acknowledged that the benefits of statistical process control (SPC)
can be accrued not only in the manufacturing industry but also services
industry. However, organizations always face challenges andsubsequently some of the SPC projects are doomed to fail and cause
more financial loss. Many studies have addressed this problem byproviding critical success factors (CSFs) as a solution. However, up to
this date no study has yet addressed another important component in
the successful SPC deployment, which is the readiness level of acompany to deploy SPC. The purpose of this paper is to investigate SPC
readiness factors and subsequently challenged to develop an SPC
readiness framework (SPCRF). A systematic review was applied andresulted nine journal articles. A conceptual framework consists of ninereadiness dimensions in SPC deployment were developed based on
selected studies and quality awards models .

40

Session
Date
Time
Room
ChairsPP 1 Production Planning & Control (1)12/11/2013
13:30 - 15:00
Sakthong
Suksan Prombanpong, Shijin Wang

A Fuzzy-based Multi-Term Genetic Algorithm for Reentrant
Flow Shop Scheduling Problem
I-Hsuan Huang, Shigeru Fujimura
Waseda University, Japan

In semiconductor manufacturing factories, the process of wafer
fabrication is the most technologically complex and capital intensive
stage. This process is configured as a reentrant flow shop process withmany machines and processing steps. It needs an efficient and effective
scheduling method for large size process in order to increase thecompetitiveness. The reentrant flow shop problem (RFSP) means thatall jobs have the same route through the shop machines and the same
shop machine is used several times to complete a job.
This research provides an effective fuzzy-based multi-term genetic
algorithm to solving RFSP with the objective of minimizing the total
turn around time (TTAT). The proposed method focuses on the criticalpoint in scheduled solutions. The middle position of longest TAT is
defined as the critical point. According to the critical point and current
generation, fuzzy logic chooses the focused term of chromosome, thenthe genetic algorithm effects on this term. In each evolution, only
corresponded part of chromosome is evolved by crossover andmutation while other parts of chromosome remain unchanged.
Through computational experiments, the effectiveness of the
fuzzy-based multi-term genetic algorithm is evaluated.

The Effect of Metal Noise Factor to RFID Location System
Seng Fat Wong, Yi Zheng
University of Macau, Macau

The technology of Radio Frequency Identification is becoming widelyused in industry engineering. However, the UHF RFID tag can be easily
affected by environmental noise factors, especially on the metal surface.
The metal effect to Radio Frequency Identification (RFID) location
system is described in this paper. Different methods are adopted toanalyze the circumstances when RFID location system is placing near
the metal objects. Simulation for tag antenna is accomplished to detect
how the metal plate affecting the magnetic field around the tag.
Moreover, the experiments are completed by using RF Code M250
reader and R150 tags. The proposed results illustrate the noise factorof metal material influence RFID system and provide the useful alert
when RFID technology is applied in the metal environment of industry
engineering.

Concept of an Intelligent Production Control for Global
Manufacturing in Dynamic Environments Based on
Rescheduling

The Effectiveness Evaluation of Job-shop Scheduling basedon Theory of Constraints (TOC) Under Demand Variation
Chompoonoot Kasemset, Uttapol Smutkupt, Nichchima Anongjanya
Chiang Mai University, Thailand

This study aims to present the effectiveness evaluation of job-shop
scheduling based on TOC concept under demand variation using
simulation technique. Two schedule performance measurements under
uncertainty, schedule robustness and performance, are used incomparing the performance of schedule based on TOC and traditional
method (minimizing Cmax). Simulation test scenarios are carried out
by applying different distribution of demand as Poisson and uniform
distributions with two case problems as single and double bottlenecks
cases. The results show that the schedule based on TOC concept is
superior to the schedule from traditional method when demandvariation is increased and the production system is more complicated as
can be observed from the results of double bottlenecks case.

Task and Worker Assignment in the Shared-Machine
U-Shaped Assembly Line
Pattarawan Khemyong, Ronnachai Sirovetnukul
Mahidol University, Thailand

This study presents a new approach on a U-shaped line namely, task
and worker (double) assignment in the shared-machine U-shaped
assembly line. A case study was done on a garment manufacturing
company in Thailand. In order to revolutionize and consider the leanconcept of waste reduction and synchronous move, three objectivefunctions were considered: minimizing the number of workstations(workers), minimizing walking time, and maximizing full work. The
results showed that the shared-machine U-shaped line has the same
number of workstations (or workers) as the straight line and traditional
U-line but the walking time is less than the latter while the utilization ofworker is satisfying. In addition, the utilization of machine is better
than other lines. Hence, the proposed model can help improve thedouble assignment and increase machine and worker utilization of amanufacturing company.

Investigation of the Information Generated by Technology
Management Tools and Links to Strategic Product Planning
StagesAlexander U. Reik, Moritz King, Udo Lindemann
Technische Universität München (TUM), Germany

Linking technology management to the business strategy and thestrategic product planning process leads to competitive advantage andoffers sustainable success in global markets. Technology management
as a cross-departmental function handles a lot of tools for all kinds of
purposes. Based on established tools, the paper illustrates the links
between the two domains and investigates the information which
information is required by product planning as well as which specifictools achieve this.

Gisela Lanza, Nicole Stricker, Raphael Moser
Karlsruhe Institute of Technology, Germany

This paper presents an approach towards an innovative and intelligent
production control for a highly flexible and efficient production in an
increasingly dynamic and complex environment. For this purpose, anapproach is developed on the basis of intelligent rescheduling for global
manufacturing networks using information of cyber physical systems.

41

41

Session
Date
Time
Room
ChairsSM 1 Systems Modeling & Simulation (1)12/11/2013
15:30 - 17:30
Sakthong
Linda Zhang, Balkrishna Eknath Narkhede

Automatic Planning of GPON/FTTH Networks Based on
Lagrangian Heuristic Optimization
Ling Cen1, Kin Poon1, Zhuliang Yu2, Anis Ouali1
1
Etisalat British Telecom Innovation Centre, Khalifa University of Science,
Technology And Research, United Arab Emirates
2South China University of Technology, China

Gigabit Passive Optical Network / Fiber To The Home (GPON/FTTH)
has been of increasing interest for the broadband access network due toits inherent advantages, such as high bandwidth, immunity againstelectromagnetic interference, no active components required, and low
cost. The planning of GPON, however, is a very difficult andtimeconsuming task. Many design factors such as the number, types,
positions of network elements and routing information, have to beconsidered. In this paper, an automatic GPON design method is
proposed, which models the network planning design as a problem of
the form of Binary Integer Programming (BIP). The BIP optimization
problem that is in nature a NP-hard problem is solved using a
Lagrangian Heuristic algorithm. Experiment results have been given toshow the effectiveness of the proposed method to identify the optimal
placement of distribution points with lower computational cost in
network planning.

Concept for an Integration-framework to Enable the
Crossdisciplinary Development of Product-service Systems

Konstantin Kernschmidt1, Thomas Wolfenstetter1, Christopher Münzberg1,
Daniel Kammerl1, Suparna Goswami1, Udo Lindemann2, Helmut Krcmar1,
Birgit Vogel-Heuser1
1
Technische Universität München, Germany
2
Technische Universität München (TUM), Germany

Modern mechatronic Product-Service Systems (PSS), as a combinationof mechanics, electrics, electronics, software and services, require aninterdisciplinary system understanding and development process.
During the development, each discipline uses specific modelinglanguages and tools, which focus on certain aspects of the system.
However, much of the model information is commonly used in the
different disciplines involved. Thus, it is inefficient to model thesecommonly used elements separately from scratch in every discipline
and thereby keep the data of the system consistent. Therefore, in thispaper a concept for an integration-framework is presented, which
defines a specification of the relevant PSS elements and their attributes,
in order to facilitate the crossdisciplinary use of model-information
during the development process of mechatronic PSS.

Functional Analysis and Modeling of Complex, Evolutionary
Grown, Mechatronic Products
Michael Roth1, Daniel Kasperek1, Udo Lindemann2
1Technische Universität München, Germany
2
Technische Universität München (TUM), Germany

In evolutionary grown mechatronic systems, the involved disciplines
are often not sufficiently integrated. For optimization and improvementof this situation, the system and its functional dependencies aremodeled. During the steps of defining objects and building up themodel, the identification of functional dependencies is challenging. This
contribution presents an approach to support these steps in order toimprove the quality of the model. It addresses situations and systems,
in which documentation and a system overview are not available
adequately. Thus a modeling-scheme is developed and the elements areused to build up a Multiple Domain Matrix. The functional
dependencies are derived from relations in the domains of“information” and “states”. The approach is demonstrated by an
example out of industrial context.

42

Using DSM and MDM Methodologies to Analyze Structural
SysML Models
Sebastian Maisenbacher, Konstantin Kernschmidt, Daniel Kasperek, Birgit
Vogel-Heuser, Maik Maurer
Technische Universität München, Germany

Matrices and graph-based representations are commonly used visualmodels of system structures. Depending on the objective of the observer,
both representations offer different opportunities and advantages. A
standardized graph-based modeling language is SysML, while thedesign structure matrix (DSM) and the multiple domain matrix (MDM)
are typical matrices used during the development of complex systems.
Although both modeling techniques are wide spread, up to now they
are hardly used conjointly. In order to utilize the advantages of both
approaches and thus, enhance the entire development process thiscontribution examines the transformation of SysML diagrams to theirmatrix representation as a DSM or MDM, in order to analyze themodels further. The approach is verified on a use case of a
product-service system.

Identifying Signs of Systems Fragility: A Crowdsourcing
Requirements Case Study
Attila-Peter Toth, Davor Svetinovic
Masdar Institute of Science and Technology, United Arab Emirates

It has long been understood that the initial investment in therequirements engineering process has significant returns in thedevelopment of a system. Fragility is present in every system, although
there are often no signs indicating its presence in system requirements.
One can try to predict the system breakdown based on its behavior, but
the true sources are frequently overlooked. The fact that fragility isrecognized when it manifests, suggests that it can be triggered, thus
there are certain conditions that need to be fulfilled in order to be
triggered. We conducted a case study in order to identify signs in therequirements specification that may lead to systems fragility. As theresult of this case study, the five signs of fragility were identified andthey can be used in a requirements engineering process to elicit fragility
requirements and potential antifragility.

Determining Optimal Zone Boundaries for
Three-Class-Based Puzzle-Based Compact Storage Systems
Linda Zhang1, Yugang YU2, Li Zhang2
1
Catholic University of Lille, France
2
The University of Science and Technology of China, China

Thanks to their advantages, such as high storage density and short
response time to customers’ requests, puzzle-based compact storage
systems have been increasingly installed in warehouses anddistribution centers recently. This study addresses zone boundary
optimization for puzzle-based compact storage systems when a threeclass- based storage policy is implemented, in attempting to facilitate
system design. We first identify 3 cases, where a puzzle-based compact
storage system can be divided into 3 zones for items classified as A, B,
and C classes. Subsequently, we derive the system expected responsetime and further develop a mix-integer nonlinear model to optimize
zone boundaries by minimizing the derived response time. At last, inview of the problem complexity, we reformulate the zone boundary
optimization model as a dynamic programming model, and solve it
accordingly. As shown by the numerical example, although the solution
procedure is relatively complex, the results can be applied in practice ina straightforward way. In addition, in comparison with randomized
and two-class-based storage policies, three-class-based policy cansignificantly reduce response time of puzzle-based compact storage
systems.

42

Session
Date
Time
Room
ChairsEE 1 Engineering Economy & Cost Analysis (1)12/11/2013
13:30 - 15:00
Patumchard
Md. Mamun Habib

The Cost and Benefit Analysis of Taiwan High Speed
Railway - With Sustainable Perspectives
Hsiao-min Chuang1, Chihpeng Chu2
1
Taiwan Hospitality & Tourism College, Taiwan
2
National Dong Hwa University, Taiwan

Taiwan High Speed Railway (THSR) with USD16.5 billions initialinvestment, is the biggest build-operation-transfer project ever since in
Taiwan. THSR changed the life style a lot in Taiwan. It carriespassengers from Taipei (the northern part of Taiwan) to Kaohsiung (thesouthern part of Taiwan) within 90 minutes with speed of 300 kilo
meters per hour. This study focuses on analyzing its performance withsustainable perspectives. We also monetize the benefits, such as thetravel time saved, energy resource saved, pollution reduced, andaccident rate decreased which THSR brought and will bring for Taiwan.
The conclusion is that THSR could still prove itself to be worthy of
construction, with good performance in the overall concession period.

Reducing Investment Costs in Multi-Variant Mass
Production

Achim Kampker, Heiner Hans Heimes, Stefan Bickert, Timon Rodenhauser
Laboratory for Machine Tools and Production Engineering (WZL), RWTH Aachen
University, Germany

Short product life cycles and a high variance within productgenerations continue to pose major challenges for manufacturing
companies. Especially in highly automated mass production, one
central question is how to deal with different specifications of productvariants during the manufacturing process. Since a large productvariety is usually associated with high investment costs, we present a
methodical approach addressing the systematic reduction of machine
investment in multi-variant production. The procedure is universally
applicable to various industries and forms the basis for thedevelopment of an integrated construction kit for products andproduction processes.

A Parametric Cost Estimation Model to Develop Prototype ofElectric Vehicle based on Activity-Based Costing
Rakhman Ardiansyah, Wahyudi Sutopo, Muhammad Nizam
Sebelas Maret University, Indonesia

Accurate estimation is still challenging for the development stage of a
product due to lack information about the production process, bill ofmaterial, and detailed activity. Parametric cost estimation based on
activity-based costing can be used to generate the cost information of
the whole process from the design stage until development stage. This
paper presents a parametric cost estimation model that links
activity-based costing to enhance accuracy of estimation for developing
an electric vehicle prototype. The parametric cost represents thedevelopment process of a prototype consisting of four main processes.
It also presents activities, cost center, and cost driver in each process.
The total cost of each cost center is formulated by mathematicalequations. A prototype of the Sebelas Maret Electric Vehicle is chosen asa case study. The proposed model can be utilized to predict total costestimation the prototype of electric vehicle. This estimation method can
influence cost reduction of developmental stage.

Software Test Estimation Tools using Use Cases andFunctionsShaiful Islam, Bishwajit Banik Pathik, Manzur H. Khan, Md. Mamun Habib
American International University - Bangladesh (AIUB), Bangladesh

This paper demonstrates the software test estimation tool, which isclearly defined to understand, that provides the time and cost of any
software test project. There are different estimation tools for softwaredevelopment process [8] and those are well recognized. But there arelacks of standard tools for estimation of Software Test phase. Therefore,
the researchers applied that tool on two projects, project 1 Management Accounts Consolidation System for Line Director andproject 2 – Persona, in order to determine the time and cost of thoseprojects. Since few software test estimation tools are available in themarket, however, this paper would be fruitful for the software industry
to explore the time and cost of any real software test project.

Considerations for Commoditization Factors in Flat-Screen
TV Industry
Hirotoshi Uehara1, Yusuke Makino2, Hiroyuki Nagano3, Keisuke Uenishi4,
Shuichi Ishida5
1Panasonic Corporation, Japan
2
Chubu Electric Power Co., Inc, Japan
3
University of Hyogo, Japan
4
Osaka University, Japan
5
Ritsumeikan University, Japan

Price declining factors of flat-screen TV with a focus on LCD TV are
analyzed from two different aspects in terms of commoditization:
Aspect of company’s product development such as adoption ratio ofself-manufactured panels and offshore production ratio and aspect of
LCD panel industry growth. It was confirmed that productdevelopment has impact on price decline and that there is a strong
relationship between LCD panel production capability and LCD TV
price decline. Considering these analysis results, it is believed thatmodularization and Japanese manufacturers’ offshore production have
led to global competition and production volume has increased due toactive investment on LCD industry, which resulted in price competitionand commoditization. In light of all this, there are some implications forJapanese manufacturers: First one is whether or not products cancontinually provide differentiated values and second is to implement
adequate development strategies to internally retain productcollaboration process technology.

43

43

Session
Date
Time
Room
ChairsPM 1 Project Management (1)12/11/2013
15:30 - 17:30
Patumchard
Leon Pretorius, Egon Mueller

Optimal Scheduling of Work-Content-Constrained Projects
Philipp Baumann, Norbert Trautmann
University of Bern, Switzerland

The execution of a project requires resources that are generally scarce.
Classical approaches to resource allocation assume that the usage ofthese resources by an individual project activity is constant during theexecution of that activity; in practice, however, the project manager mayvary resource usage over time within prescribed bounds. This variation
gives rise to the project scheduling problem which consists in allocating
the scarce resources to the project activities over time such that the
project duration is minimized, the total number of resource units
allocated equals the prescribed work content of each activity, andvarious work-content-related constraints are met.
We formulate this problem for the first time as a mixed-integer linear
program. Our computational results for a standard test set from theliterature indicate that this model outperforms the state-of-the-art
solution methods for this problem.

Solving a New Mixed Integer Non-linear Programming
Model of the Multi-Skilled Project Scheduling Problem
Considering Learning and Forgetting Effect on the Employee
Efficiency
Erfan Mehmanchi, Shahram Shadrokh
Sharif University of Technology, IranIn this paper, we propose a new mathematical programming model totackle the multi-skilled project scheduling problem. Considering theeffect of learning and forgetting on the human skills, an exponential
learning function has been developed by assuming the efficiency of
employees performing activities to be dynamic. Taking the nonlinearityof the function into account, we use separable programming to acquire
an appropriate linear approximation for it. Moreover, the proposedmodel allows us to relax some of the binary variables linearly without
any modifications. At the end, the final model is tested with someinstances and is solved by CPLEX in order to confirm the implemented
simplifications and linear approximation. After examination of theresults and checking the constraints, the validity of the model and its
modifications have been approved. Regarding NP-hardness of the
MSPSP, this process can be a prominent step for developing
metaheuristic algorithms to solve real world problems.

An Empirical Study of Critical Success Factors of Project
Governance in China
Wenwen Xiang, Ying Li, Yongyi Shou
Zhejiang University, China

It is important to have a better understanding of “what is effective
project governance” and “how to govern the project effectively”. The
paper aims to clarify the definition of project governance, identify theeffective project governance standards, and explore critical successfactors based on project governance models. A questionnaire survey
was conducted in China and a list of critical success factors of project
governance was quantitatively prioritized. The empirical results
indicated that stakeholder management is the most important factor of
project governance success, which provides a reference for further
research and project practice.

44

Elimination of Waste Through Value Add/Non Value Add
Process Analysis To Improve Cost Productivity in
Manufacturing - A Case Study

Kam-Choi Ng1, Chun Pei Lim1, Kuan Eng Chong2, Gerald Guan Gan Goh3
1
Infineon Technologies, Malaysia
2Technical University Malaysia, Malaysia
3
Multimedia University, Malaysia

Value Stream Mapping (VSM) is a very comprehensive tool to thatallows an organization to identify sources of waste and implements
process improvements. This paper describes the adoption of VSM in asemiconductor manufacturing company to improve personnel
efficiency and optimize headcount in the production lines. Based on the
future state of the value stream mapping a new production process flow
was implemented. Non value added activities were reduced or
removed by assigning butterfly operators to perform these tasks. The
new system successfully resulted in the reduction of six headcounts inthe taping process. This is equivalent to a saving of approximately
eighty seven thousand Malaysian ringgits per annum. This systematic
approach can be similarly employed by the lean practitioners to
conduct lean activities in other manufacturing sectors.

Schedule Risk Analysis in Construction Project Using
RFMEA and Bayesian Networks: the Cali-colombia Case
Study

Camilo Andres Mican Rincon1, Víctor Javier Jimenez1, Jessica Perez2,
Alejandro Borrero3
1
Universidad del Valle, Colombia
2
Vatia, Colombia
3
Coomeva, Colombia

The projects in the construction sector are developed in complex anddynamic circumstances due to uncertainties and risks. The schedulerisk is the probability that the project exceeds the initial programing, forwhich several methodologies are proposed; on the other hand very few
of them have been used in countries where the economies are indevelopment. This paper presents a case study of the constructionindustry in the city of Cali - Colombia, integrating the RMFEA
prioritization method and the Bayesian Networks model for theschedule risk analysis in construction projects. It will be possible toidentify the main own risks in this type of projects and the impact thatthey have in the probability of finishing the project on time.

Fuzzy Decision Model for Construction Contractor`s
Selection in Egypt: Tender Phase
Hossam Hassaan, Nashaat Fors, Mostafa Shehata
University of Alexandria, Egypt

Selecting an appropriate contractor is essential for the success of any
construction project. A tender procedure should facilitate selection of areliable contractor taking into consideration many criteria. This paper
presents a systematic prequalification and performance procedure,
based on multi criteria decision making (MCDM) that is Analytical
Hierarchy Process(AHP) with Fuzzy Set Theory. This process uses analgorithm to handle the inconsistencies in the fuzzy preference relation
when pair-wise comparison judgments are used with linguistic
assessment or exact assessment of performance of the contractors on
qualitative or quantitative criterion, respectively. A questionnaire
survey was conducted, containing 34 factors affecting cost estimation
for contractor selection during tender decision. Finally, a real case study
and an application example for a contractor selection problem were
provided to the construction industry to demonstrate theimplementation process of the proposed method.

44

Session
Date
Time
Room
ChairsEB 1 E-Business & E-Commerce (1)12/11/2013
13:30 - 15:00
SatabudMichel Aldanondo, Antonio Grilo

Internet Usage Trend and Postal Service Performance inAustralia
Sung Shim1, Arun Kumar2, Hasan Hakami2
1
Seton Hall University, United States
2
Royal Melbourne Institute of Technology (RMIT), Australia

This study examines several important factors of Internet usage andpostal service performance in Australia from 2006 to 2010, using datafrom secondary sources. The results on Internet usage indicate
increasing trends in domain name registrations, Internet user
population, Internet usage duration, and e-commerce value. On theother hand, the results on postal service performance show stagnating
trends in mail volumes, revenue, pre-tax profit, rate of return, and laborproductivity growth during the same period. While we need more data
to investigate systematically any causal relationships between thefactors of Internet usage and those of postal service performance, theresults taken together suggest that the increasing trend of Internet
usage had some negative impacts on postal service performance. This
study is expected to help understand the trends of Internet usage asassociated with the performance of postal service and set the stage forthe future of postal service in Australia and other countries.

Measuring the Performance of Viral Marketing based on the
Dynamic Behavior of Social Networks
Atikhom Siri, Trasapong Thaiupathump
Chiang Mai University, Thailand

Recently the demand for using social networks to advertise has
increased significantly, and viral marketing on social media has;
therefore, become an effective approach when wishing to disseminate
product advertisements, for it can help match customers to products
more effectively than conventional marketing methods. This study
measures the effectiveness of information dissemination within adynamic behavior environment, and the model used here attempts toanalyze the actual performance of viral marketing campaigns. Several
factors impact upon the effectiveness of viral marketing, and according
to the findings of this study, these factors not only include the numberof generations to reach the target customers, but also the individual
parameters and social parameters set for the customer segments, suchas the number and level of friends with a shared interest in the same
product. This study; therefore, also focuses on the significance of thesefactors, so as to analyze their impact on customers’ product selection
decisions, and help develop the most effective advertising campaigns
when using social networks for a given target group.

Mobile Stock Trading (MST) and its Social Impact: A Case
Study in Hong Kong
Kin Meng Sam1, Chris Chatwin2, Iat Cheng Ma1
1
University of Macau, China
2
University of Sussex, United Kingdom

Smartphones are becoming the mainstream mobile devices used byHong Kong residents. The popularity of smartphones has led to theemergence of a new way of trading in financial securities and products– so called: mobile stock trading. This new technology has several
attractive features that have driven this new market forward. Investors
can place orders at anytime and anywhere without any geographic
restriction as long as they can access the internet. By using the Diffusionof Innovation model (DOI) and related literature, we found that threefactors: perceived usefulness, trialability and observability - contributeto the determination of customer attitudes in adopting mobile stock
trading. The results revealed practical implications for the future
development and implementation of mobile stock trading.

45

How Sense Qualities Influence User Preference of
E-commerce Website
Dunxing Wang1, Junxiu Zhang2
1
Tsinghua University, China
2
Northeastern University, China

The objective of this study was to investigate the relationship between
sense qualities and overall preference in interface design of E-commerce
website based on users’ perceptual demand. First, the semantic
differential method was adopted to extract sentimental evaluationphrases of E-commerce website’s interface. Then, an evaluation scale
investigating users’ sense qualities of E-commerce website interface wasdeveloped, which was also checked to be valid in this field. After that,multiple linear regression models of the relationship between
sentimental evaluation phrases and users’ emotional preference andalso the relationship between evaluation factors and emotional
preference of E-commerce website’s interface were establishedrespectively, which quantified the emotional dimensions of interface
design of E-commerce website. Eventually, some random samples ofE-commerce website’s interface were taken to test the effectiveness ofmodels above and implications of this study were discussed.

Research on Product Common Attribute Model with
Consumption Value Theory Applied in Food industry
Tsung-Yi Chen1, Yan-Chen Liu2, Yuh-Min Chen2
1
Nanhua University, Taiwan
2
National Cheng Kung University, Taiwan

Knowing why consumers choose their favorite products can help
enterprises to stay ahead of market trends and thereby increase profits
and reduce losses. There are various theories which attempt to explain
what happens in the minds of consumers when they purchase a
product. However, methods of applying these theories to an enterpriseare needed but are rarely discussed in the literature even though having
a practical method of understanding consumer thinking would help
enterprises understand those proposed theories easily. In this study, we
propose a Product Common Attribute (PCA) model and provide
quantified values to help enterprises to apply consumption value
theory to their products. Because it is difficult to quantify each value
index of a consumption value theory, the PCA model is proposed tocorrespond to the five value indices of consumption value theory,
incorporating a questionnaire survey to verify the corresponding
relationships. Consequently, this study quantifies and applies therelationship between the PCA model and consumption value theory.

Incorporating Location, Routing and Inventory Decisions inDual Sales Channel - A Hybrid Genetic Approach
Chia-lin Hsieh1, Shu-hsien Liao2, Wei-chung Ho2
1
Aletheia University, Taiwan
2
Tamkang University, Taiwan

In this study, we present a three-echelon dual sale channel supply chain
network including a single vender, multiple distribution centers (DCs),
also physical retailers and online customers. In the proposed businessmodel, the vender receives orders either from physical retailers or
online customers, then assigns specific DCs to fulfill these orders. The
purpose of this problem is to determine the number and locations of
DCs which assign both physical retailers and online customers. These
decisions are very critical policy that the vender is responsible formanaging inventory replenishment at specific DCs. Since theformulated problem is consisting of LIP (Location-Inventory Problem)
and LRP (Location-Routing Problem) issues, we develop a genetic
algorithm by incorporating a three-phase heuristic approach to solve
both LIP and LRP. The experimental results demonstrate trade-off cost
relations which impact on the number of potential DCs to be opened
under the objective of minimizing total supply chain cost.

45

Session
Date
Time
Room
ChairsRM 1 Reliability & Maintenance Engineering (1)12/11/2013
15:30 - 17:30
SatabudDavid Coit, Yoshinobu Tamura

Product Support Logistics Based on System Reliability
Characteristics and Operating Environment
Behzad Ghodrati, Alireza AhmadiLuleå University of Technology, Sweden

The environmental conditions in which the equipment is to be operated,such as temperature, humidity, dust, operators’ skill, etc, often haveconsiderable influence directly on the product reliability and indirectlyon the product supportability characteristics. This paper, after
discussing the factors influencing product reliability, describes amethod to estimate spare part requirements based on estimation of theactual reliability of a product under the influence of the
product-operating environment using a proportional hazard model. In
this research only non-repairable components/parts in repairable
systems are studied. Results express a considerable difference between
considering and ignoring the operating environmental factor on system
performance. So, this factor should be seriously considered while
dimensioning product support and service delivery performance
strategies, since it will have an impact on operation, maintenance andservice quality.

Reliability Analysis Based on Network Traffic for a Mobile
ComputingYoshinobu Tamura1, Shigeru Yamada2
1
Yamaguchi University, Japan2
Tottori University, Japan

Third-party software development paradigm has been gaining a lot of
attention in various software development area, i.e., Android,
OpenStack, and Apache HTTP server, etc. However, the poor handlingof quality problem and customer support prohibit the progress of OSS(open source software) developed under the third-party softwaredevelopment. Therefore, many companies have been hesitant toinnovate the OSS, because an OSS includes several software versions. In
particular, the installer software developed under the third-party
developers indirectly has an effect on the reliability in area of a mobile
device. In this paper, we develop an integrated method of reliability
assessment considering the software failure and network traffic basedon a hazard rate model and neural network for the mobile device. In
particular, we analyze actual software failure occurrence time data toshow numerical examples of software reliability/portability assessment
for the mobile device.

Interval Estimations of Software Reliability and Optimal
Release Time Based on Better Bootstrap Confidence Intervals

Production Reliability Evaluation of Continuum-State
Manufacturing System Based on Universal Generating
Function
Fen Kuang, Wei Dai, Yu Zhao
Beihang University, China

Production reliability is an integrated measurement of production
ability of the continuum-state manufacturing system (CSMS), which isdetermined by the state of each process within. Based on the generalstress strength interference theory, a new model is proposed for
production reliability evaluation of CSMS, which can calculate thesystem capacity under variable production tasks, together with thedegradation of production capacity caused by the degradation ofequipment has also been considered. The universal generating function
is used to develop the model and procedure to evaluate the CSMS
reliability. Case study of the servo valve process system is presented,
the production reliability and the corresponding production reserves
for equipment and system over time are provided.

Multi-Response Surface Optimization Using Axiomatic
DesignVijay Rathod1, Om Prakash Yadav2, Ajay Pal Singh Rathore3
1
Government Polytechnic Mumbai, India
2
North Dakota State University, United States
3
Malaviya National Institute of Technology, India

An integration of axiomatic design and response surface methodology(RSM)-based robust design can provide an effective approach forsimultaneously optimizing multiple conflicting quality characteristics.
This paper proposes a robust multi-response surface optimization(MRSO) method by integrating axiomatic design approach with Dual
RSM-based robust design optimization model to minimize theinteraction among the multiple quality characteristics. The applicabilityof the proposed MRSO methodology is demonstrated using suitable
examples.

Accelerated Life Tests for Data Acquisition Devices used in
Smart Grids
Lijuan Shen1, Xuan Liu1, Zhi-Sheng Ye2
1
China Electric Power Research Institute, China
2
The Hong Kong Polytechnic University, Hong Kong SAR

The data acquisition devices play an important role in modern
Advanced Metering Infrastructure and smart grid energy systems.
Accelerated life tests are used to obtain the failure data of the device in atimely faction. In order to analyze the data, we develop a statisticalinference procedure to analyze ALT data with multiple stress factors
and multiple failure modes. This procedure is likelihood-based. Wethen apply the procedure to analyze the ALT data of the device, which
has two stress factors and two failure modes. Based on the analysis, thefailure time distribution under normal use conditions can be effectively
estimated.

Shinji Inoue, Shigeru Yamada
Tottori University, Japan

We discuss a bootstrap method for estimating software reliability andcost-optimal software release time by using a discretized software
reliability growth model. And then, we conduct interval estimations ofthem by five types of bootstrap confidence interval estimation methods
including socalled better bootstrap confidence intervals, such as abootstrap- t and a bias-corrected and the accelerated confidence interval(BCa) method. In our numerical examples, we confirm that ourbootstrap approach yields simulation-based probability distributions ofmodel parameters, software reliability assessment measures, andcost-optimal software release time without deriving these probability
distributions analytically.

46

46

Session
Date
Time
Room
ChairsSR 1 Safety, Security & Risk Management (1)12/11/2013
13:30 - 15:00
Boontarik
Paolo Trucco, Xiuzhu Gu

Resilience of Transport Systems Under Disaster:
Simulation-based Analysis of 2011 Tsunami in Japan
Paolo Trucco1, Nobuaki Minato2, Nicola Careri1
1
Politecnico di Milano, Italy
2
Keio University, Japan

Improving infrastructural systems' resilience to limit consequences ofcatastrophic and disruptive events is a major concern for policy makers
and private operators. The aim of this work, developed within aninternational research project named Collaboration Management of
Airports at Catastrophe (CMAC), is to capitalize on what the dramatic
experience of March 2011 tsunami in Japan demonstrated. In particular
the Yamagata airport case study was examined by means of a discrete
events simulation model that represents the Yamagata airport and therelated ground regional transportation system, and describes in great
detail operational aspects and management dimensions of the system.
To provide transport system managers and policy makers with adiagnostic and decision support tool, a simulation campaign was
conducted to map all the critical resources and analyze theircontribution to the resilience performance of the system.

A Study of Semiconductor Industry Accidents: Making
Predictions Based on BP Artificial Neural Networks
Chao Liu, Hsuan Peichen, Wu Jianping
Semiconductor Manufacture International Corporation, China

This paper puts forward using BP artificial neural network to forecast
semiconductor industry accidents, using optimized and quantifiable
impact factors of accidents as input nodes and accident quantity as theoutput node. The established predictive model has 7 input parametersand 1 output parameter. This paper uses this model to predict andvalidate the accident occurrence circumstances of a semiconductor
company and gets accurate results.

Estimating Reporting Culture and Its Link to Safety
Performance by Applying Hemodialysis Error Taxonomy
Xiuzhu Gu, Kenji Itoh
Tokyo Institute of Technology, Japan

This paper reports a hemodialysis error taxonomy system for not only
providing a framework to analyze characteristics of hemodialysis
incidents, but also estimating safety status in a dialysis organization.
The error taxonomy system was developed by adapting a common
health care error taxonomy system to hemodialysis situations. Based on
the results of its application to 1,909 incident reports collecting fromtwo dialysis facilities, we obtained a plausible link between reporting
culture – which was estimated by average descriptive depth – andsafety performance, for which we introduced two indices, i.e., rate ofnear miss reporting and rate of adverse event reporting. Thus, the error
taxonomy system for hemodialysis events proposed in this paper welldemonstrated its ability for predicting safety status in a specific dialysis
organization.

47

Risk Profiling in Asymmetric Warfare through Intelligent
Analysis of Images and Neural Networks
Prem K Kalra, Rajkumar Vishwakarma
Indian Institute of Technology Delhi, India

Security agencies across the world are facing major challenge from theleft-wing extremism and terrorism. Terrorists plan to create liberated
zones by forming guerrilla squads. They plant IEDs to stop movementof security forces. Forces due to the inadequacy of traditional tools andtechniques, un-familiar terrain, lack of knowledge of local language arestruggling hard to get an upper hand over the militia, while launchingvarious operations. In 2010, 132 police officers lost their lives in these
operations. In order to overcome these shortcomings, in this paper,
digital image analysis and neural networks have been used to predictrisk profile of an area which acts as alert to security forces conducting
operations. Before conducting any CASO or Ambush, troops undertake
operational-planning based on terrain features, intelligence inputs andrisk profile of the area. These tools have been very useful in reduction of
number of losses to 26 police officers in 2011.

Merging Habitus into Safety Risk Management: A Case fromthe U.S. Construction Industry
Dong Zhao
Virginia Tech, United States

Construction industry has been continuously suffering the safety risks
and injuries. According to the U.S. Department of Labor, 19.4% ofnationwide workplace fatal injury occurred in construction between
2003 and 2011. Technical efforts have been directly endeavored to
impact safe working performance but most shown as less effective. This
research aims to find out an appropriate method to actively merge
modern technology and safety culture into the safety risk management.
A safety issue of electrical hazard from the U.S. construction industry
was selected for case study. Based on the analysis of the electrical safety
risk in construction, it is found that a large portion of fatalities andinjuries are related to workers’ unsafe acts and lack of awareness. An
innovative method is proposed that merges safe habitus into the risk
management through information technology. An application which
adopts this method is also demonstrated.

Relationship Between Working Postures and MSD in
Different Body Regions Among Electronics AssemblyWorkers in Malaysia

Roseni Abdul Aziz1, Mat Rebi Abdul Rani2, Jafri Mohd Rohani2, Ademola
James Adeyemi2, Nurlyana Omar1
1
National Institute of Occupational Safety and Health (NIOSH), Malaysia
2
Universiti Teknologi Malaysia, Malaysia

This paper is aimed at investigating the effect of working posture on theprevalence of MSD in different body regions among electronic assembly
workers in Malaysia. The participants included 78 males and 105
females, mostly aged between 20 to 40 years. Demographic information
was supplied in a questionnaire and the frequency and intensity of pain
or discomfort were indicated on a body map. Posture and gender weresignificantly associated as most male worked standing whereas female
took to sitting. There was also significant difference in reported painand discomfort among the sitting and standing workers in the entire
body region except in the upper trunk area of the neck, shoulder andupper back. There is the need for the various organisations to factor
these findings into their considerations for the provision of facilities
that will ensure maximal comfort of the workers.

47

Session
Date
Time
Room
Chairs

GM Global Manufacturing & Management
12/11/2013
15:30 - 17:30
Boontarik
Yan-Ru Li

The Use of Improvement Tools: a Comparison Between
Sectors and Industries
Dotun Adebanjo1, Matthew Tickle2, Frank Ojadi3, Robin Mann4
1
University of Greenwich, United Kingdom
2
University of Liverpool, United Kingdom
3
University of Lagos, Nigeria
4
Massey University, New ZealandThis study explores the use of improvement tools between public andprivate sector and manufacturing and service organizations. In total 453
organizations across 8 different countries responded to a questionnairewith the data being analyzed through use of the IBM SPSS Statistics
software package. The results revealed a number of differences between
the sectors and industries as well as similarities between the public
sector and the private sector and between the service industry and the
manufacturing industry.

The Impact of Absorptive Capacity on Post-Acquisition
Financial Performance: The European ICT Data
Mait Rungi, Valeria Stulova
Tallinn University of Technology, Estonia

Absorptive capacity refers to a firm's ability to utilize external
knowledge for commercial purposes. Ability to capture externallygenerated information is crucial in contemporary world, wherecompetition is high and new product lifecycle short - signifying theimportance of constant learning and openness. The current study
investigates the impact of absorptive capacity on financial performancein the context of corporate acquisitions. A quantitative re-search was
carried out based on European ICT companies that were subject toacquisition in 2008. The results demonstrate that absorptive capacity
entails a direct effect on financial performance.

Efficient Optimization Methods for Extended Flow Path
DesignJulie Rubaszewski1, Alice Yalaoui1, Lionel Amodeo1, Sylvain Fuchs2
1
Universite de Technologie de Troyes, France
2
ANDRA, France

Determination of the direction of each segment of a network and the
choice and the paths that will be used by vehicles in production units iscalled flow path design problem. Roads organization directly
influences the performance of the system. That is why this problem is
one of the most important issues in designing an AGV (automatedguided vehicles) system. Efficient optimization methods based on
iterative local search and hybridized ant colony optimization aredeveloped in order to solve a flow path design problem for aconventional unidirectional network and some extensions as different
types of vehicles, some segments forbidden and construction costs. We
are in interest with the case of minimizing the total travel distanceconsidering both loaded and empty travels. In order to ensure theefficiency of the proposed optimization methods, computational
experiments are carried out based on literature example.

48

Motivations and Criteria for Partner Selection in Innovation
Alliance

Xiao-li Chen, Ralph Riedel, Egon Mueller
Chemnitz University of Technology, Germany

Partner selection is of great importance for the viability of innovation
alliance. In this paper, based on the scenario that the emphasis ofpartner selection would vary according to different motivations,different clusters of motivations are worked out and also a criterion
system is set up. Based on this, relationships between motivations andselection criteria are clearly identified, which aims to shed some light on
the theory of partner selection. A survey based on the experience ofcompanies was further conducted for the analysis. In the end, thecriterion system of this work was confirmed to hold high reliable
properties and the hypotheses regarding the inner dependence between
motivations and the focus of selection criteria could also been proved.
With the survey, it was also possible to reveal motivation differences
between companies from Germany and China. Furthermore
suggestions are given out regarding their criterion focus.

Industry Clusters and Business Ecosystems- The Smart
Mobile Industry in Taiwan
Yan-Ru Li, Wen-Zhe Yang
Aletheia University, Taiwan

Cluster has been used by the government and multiple industries tofacilitate business growth for decades, but information
telecommunication technology and global integration of the supply
chain have challenged competition. The business ecosystem links thestakeholders and their subsidiaries around the world beyond
geographic location of industrial clusters. The best practice of smart
phone companies establishes business ecosystem growth with its
supply chain members. However, a number of studies have been
conducted using the major platform leaders as subjects. We argue thephenomena of followers’ and the supply chains’ roles in the businesssystem. This paper uses case study to analyze Apple, Samsung, and
HTC with their Taiwanese supply chain companies based on 90 supply
companies and 285 factories. Research suggests that smart phonecompanies intend to link global resources to replace regional clusters,
heterogeneous integration to replace technology related companies,and cooperation-competition to replace traditional growth strategies.
The research findings reflect that globalization and technology arechallenging the industry cluster, which is based on geographic
proximity. This may also change the regional sectoral agglomeration
policy.

Linkages Influencing NPD-SCM Alignment - Evidence from
Indian Automotive Industry
Ankur Pareek1, Ajay Pal Singh Rathore2, Rakesh Jain2
1
Government Engineering College, Ajmer, India
2
Malaviya National Institute of Technology, India

New product development and supply chain management activities
have become important for success of an organization. Better results are
expected when the two activities are aligned with each other. This paper
attempts to analyze the NPD-SCM alignment in an Indian automotive
firm using case study approach. Five key linkages affecting thealignment have been identified from review of relevant literature. Since
these linkages may exhibit inter-dependence, analytic network process(ANP) is used to find out their relative contribution in improving
NPD-SCM alignment in the selected firm. Results indicate that voice ofcustomer (VOC), modularity, supply chain responsiveness (SCR), andearly supplier involvement (ESI) are important contributors towards
NPD-SCM alignment. Results have been discussed with company
executives for drawing insights to explore possible reasons. The paper
finally concludes by providing few potential directions for future work.

48

Session
Date
Time
Room

Poster Session 1
12/11/2013
15:00 - 15:30
Krisana

Comparison of the Predetermined Time Systems MTM-1 andBasicMOST in Assembly Production
Marek Bures1, Pavlina Pivodova2
1
University of West Bohemia, Czech Republic
2
Tomas Bata University, Czech RepublicThis paper focuses on predetermined time systems and their mutualcomparison. For comparison of the methods experimental research andconditions of real assembly production were used. The main goal of thepaper is demonstration of reliability, mutual accuracy and deviations ofindividual methods. A hypothesis needed for verification was stated,that individual methods should have accuracy deviation between 5% to10%. Findings about time demands for analysis when using chosen
methods was a partial goal of our research. For mutual comparison
MTM-1 and BasicMOST methods were selected.

Cyclic Production for Robotic Cells Served by Multi-function
Robots with Resumable Processing Regime
Mehdi Foumani, Yousef Ibrahim, Indra Gunawan
Monash University, Australia

This paper addresses the problem of finding the optimal robot movecycle to minimise the cycle time of twomachine cells. The earlier robot’s
function was mainly moving parts between machines in a
manufacturing process. We lift this assumption on robot tasks andassumed a special robot, namely multi-function, which performs a
unique operation in transit. This robot starts performing this operation
after unloading a part from input buffer and finishes it before loading
the part to the output buffer. The processing mode on robot is ‘‘stop
resume’’. Thus, regardless of the gap interrupts during the operation,
the robot continues processing on part when it is reloaded to the robot
without any loss in time. The focus of this study is on one-unit cycles
since they are very popular in industry. The cycle time of two possible
one-unit cycles is obtained, and the optimality condition of them isdetermined.

Study on Design Change Review for Small andMedium-sized Enterprises
Xiaonan Yu, Zhibing Yang, Guoxin Wang, Jiping Lu
Beijing Institute of Technology, China

Inadequate engineering change control method for Small andMedium-Sized Enterprises comparing to Large and Medium-Sized
Enterprises, the model of engineering change management for SMEs isestablished, as well as its goal controlling source of engineering change
and the main body reviewing design change. Three evaluation indexes
are analyzed, constructing judgment matrix through method of the nine
proportional scale, then proposing design changes review method
which needed relevant departments to participate in decision-making.
In this way, it can expose the problems early that may occur in the latechange and reduce the repeated change caused by related change, sosaving the cost of change, controlling engineering change of SMEs andimproving its management level.

Load Forecasting Assessment using SARIMA Model andFuzzy Inductive Reasoning
Nestor Gonzalez Cabrera1, Guillermo Gutierrez2, Esteban Gil3
1
Instituto Tecnológico Superior de Irapuato, Mexico
2
Instituto Tecnológico de Morelia, Mexico
3
Universidad Técnica Federico Santa Maria, Chile

Accurate load forecasting is critical for power systems planning, control,and operation. Poor forecasting in volatile power markets can havelarge, detrimental impacts on power system costs and real-time energy
acquisition costs from distribution companies. This paper implements
and compares two different methodologies for short term load
forecasting: a classic statistical model (SARIMA model) and a model
based on artificial intelligence (Fuzzy Inductive Reasoning, or FIR,
model). A numerical example predicts one week for every methodology
and the results are compared for both models.

The Evaluation Model for Cooperate Social Responsibility
from a Management Flexibility Perspective
Tyrone T. Lin, Tai-Chi Huang
National Dong Hwa University, Taiwan

As corporate social responsibility standards become higher, this paper
explores how international companies maximize the profits ofshareholders and the interests of the community to meet increasingly
stringent corporate social responsibility expectations. This paper uses a49real options approach to evaluate the companies with corporate social
responsibility before and after the change of cash flows. In this paper,
we use the global 100 index as the decision variable of this model. It
offers a mathematic model to find the value of threshold. It suggeststhat managers want to strike whether a decision threshold value should
be taken when the decision interval for making the decision is moreobjective.

A Green Logistics Evaluation Model with Real Options
Approach
Tyrone T. Lin, Yu-Shyuan Lu
National Dong Hwa University, Taiwan

This paper provides a general model for the enterprises that want toexecute reverse logistics. The enterprises executing a green strategy canbring the benefit of green goodwill and customer identification.
Otherwise, the real profit of executing green reverse logistics is the key
point to managers. The authors use the static analytic tool the netpresent value method to evaluate the relevant costs and prices
whenever enterprises execute green reverse logistics in the previous
paper (Lin and Lu, (2012)). To enhance the effective management, thispaper promotes not only the static tool but also the measurement tool ofproject activity the real options approach to get the point of executing
green reverse logistics and clarify the feasibility of green reverse
logistics. By combining the practical and academic analyses, this paper
can enhance managers with the solving proposal model to get thebalance of green costs and profits.

A Study On The Statistical Comparison Methods forEngineering Applications
Serena Ji, Randy Kang, Lisa Yu, Weiting Kary Chien
Semiconductor Manufacturing International Corporation, China

In this paper, we introduce a data comparison method, Matching Rule
(MR). By setting up a relation between MR and F/T, an empiricalcriterion of MR for comparing two groups of data is defined. It is basedon a study on the classical statistic method “Hypothesis test – F/T”. The
F/T test is widely used to compare variations & means of two normal
populations. However, the empirical criteria of MR do not consider typeI error. To make MR truly useful, we develop a program to simulate thesample size needed for the two groups at different levels of type I error.
Then MR criteria and the minimal sample size can be determined basedon the required type I error. Our simulation results show that the type I
error of MR can approach to the traditional F/T test method whensample size is close to 30. With a large sampling size, MR tool is more
useful for engineering application than statistical comparison test [1].

The Research of Online Shopping Evaluation Based on Grey
Linguistic Multiple Criteria Decision Making System
Zhifeng Li1, Liyi Zhang2
1
Wuhan University, China
2
Guangdong University of Finance and Economics, China

Online shopping is making purchasing decisions based on theevaluations from previous buyers. As there are few evaluations basedon the existing evaluation criterion and no requirements on theevaluators, the evaluation result may not reflect the real situation fairly.
By using gray language instead of the traditional evaluation, this paper
establishes a multi-criterion decision-making model, providing theonline shoppers with decision-making support. Through relevant dataexperiment, it is confirmed that the evaluations by grey language can bemuch fairer. In the future, the researchers can embed this model into theonline-shopping recommendation system to facilitate the shopping
retrieval.

A Fuzzy Simulated Evolution Algorithm for Multi-Objective
Homecare Worker Scheduling
Michael Mutingi, Charles Mbohwa
University of Johannesburg, South Africa

Due to ever-growing need for satisfactory homecare services in every
society, development of efficient staff scheduling methods is crucial.
Homecare services are aimed at providing medical, paramedical andsocial aid to patients at their own homes, leading to reduced
hospitalization and healthcare operations costs in the medium to longterm. However, the homecare staff scheduling problem is a complex
one as it combines the hard vehicle routing and the staff assignment
problems. This research presents a fuzzy simulated evolution algorithm,
based on fuzzy evaluation, to address staff planning and scheduling ina home care environment. The objective is to decide (i) which patients toassign to each staff, and (ii) the best route or trip for each worker to
execute the healthcare tasks, to satisfy the time window preferences ofthe patients. Results on illustrative experiments presented show thatthe approach is promising.

49Reliable Cooperative and Backup Covering in Disaster
Situations
Ladan Hazrati Ashtiani1, Mehdi Seifbarghy1, Mahdi Bashiri2
1
Alzahra University, Iran
2
Shahed University, IranThis paper addresses a reliable facility location problem in which thepossibility of facility disruption is considered. There are two types ofcandidate sites which differ from the reliability aspects. A combinationof cooperative and backup coverage concepts are considered. It is
assumed that customers can be covered by a combination of reliable
and unreliable emergency centers in their primal coverage. Backup
coverage is also considered for demands in which primal coverage isprovided by unreliable centers. The proposed model aims to minimize
the total costs, including fixed and expected transportation costs. The
nonlinear formulation is resulted and is linearized by the necessary
constraints. In addition, the abovementioned problem is solved by the
GAMS optimization software, using a number of generated examples inorder to demonstrate the performance of the model.

A Framework for the Choice of the Opportunistic
Maintenance Policy in Industrial Contexts

Mariagrazia Di Dio, Raffaele Iannnone, Salvatore Miranda, Stefano Riemma
University of Salerno, Italy

Aim of the present paper is to propose a framework for the choice of theopportunistic maintenance models for applications in real contexts.
The paper explores firstly the scientific literature on opportunistic
maintenance in order to obtain a multi-criteria classification of the main
existing models. This allowed us to devise a methodological map forthe selection and the choice of the opportunistic maintenance models.
This map requires an accurate data collection, performed by the user, inorder to assess which of the opportunistic maintenance models is able
to more effectively address the problems of a specific facility and/ororganization. The paper proposes, for the first time in the literature, atool aimed at guiding experts and professionals in the field of
maintenance among the multiple scientific approaches to opportunistic
maintenance in relation to the objectives to be achieved, the relevant
restrictions and the available information, also taking into account thecomplexity of implementation of the different models.

Model-Following Controller Design based on a Stabilized
Digital Inverse System
Ryo Tanaka, Hiroki Shibasaki, Hiromitsu Ogawa, Takahiro Murakami,
Yoshihisa Ishida
Meiji University, Japan

This paper explains and demonstrates a model-following controller
design based on the stabilized digital inverse system. Conventional
digital inverse systems are constructed behind a plant to estimate
unknown disturbances. Herein, the inverse system is designed in frontof the plant. The model-following controller is then constructed on thebasis of this structure. However, when the relative degree of the transfer
function for the continuous-time plant is greater than the 3rd order,
discrete-time systems often become a non-minimum phase.
Furthermore, when a short sampling period is chosen, the inverse
system cannot be constructed, because unstable zeros appear. To solvethese problems, the auxiliary observation inter-sample output is
adopted from the model. In addition, a parallel feedforward
compensator is added in parallel with the plant. We confirmed theeffectiveness of the proposed method by performing simulations forseveral plants.

Simulation of Departure Terminal in Soekarno-Hatta
International Airport

Dimas Novrisal1, Nuraida Wahyuni2, Nadia Hamani2, Abderrahman
Elmhamedi3, Tresna Soemardi4
1
Université de Paris 8, France, University of Mercubuana, Indonesia
2
Université de Picardie Jules Verne, France
3
Université de Paris 8, France
4
University of Indonesia, Indonesia

Congestion problem in the airport declines the passengers’ satisfaction.
The passengers’ satisfaction is an important matter to the sustainability
operation of the airport. Airport management has to develop a
company program to improve the quality of service to the passengers.
To regulate the passengers’ processes, it is important to define theperformance of existing system. The objective of this research is tomeasure the performance the existing system of airport departure
terminal and provide a suggestion to airport management of
Soekarno-Hatta International Airport. Discrete-event simulation
method was developed to measure the system. ProModel simulator
software, from ProModel Corporation, was utilized to simulate theexisting system of Departure Terminal in the Airport. To measure theperformance, authors focus on some indicators i.e. passengers

50

processing time, passengers waiting time, and utilization of eachstation.

Enhanced Viability in Organizations: An Approach to
Expanding the Requirements of the Viable System Model
Fatos Elezi1, Michael Schmidt1, Iris Tommelein2, Udo Lindemann1
1Technische Universität München, Germany
2
University of California, United States

The Viable System Model (VSM) is a functional model of organizational
structures whose implementation results in a viable system. Despite
sound scientific arguments and many successful implementations into
organizations, the VSM is still an exotic methodology in the realbusiness environment. One of the possible reasons is that the VSM as
defined by Stafford Beer addresses only the structural domain of thecontrol (management) system in an organization and misses someprerequisites for viability. In order to have a more comprehensive
approach for implementation of the VSM in organizations that would
comprise not only the structural aspect of the control system, this paper
proposes six enhanced requirements (prerequisites for viability) thatorganizations need to strive to fulfill in addition to the structuralfunctional requirements. These enhanced requirements are deduced byanalogies to “natural” viable systems, especially the human body.

Deadlock Avoidance Policy for Dual-armed Multi-cluster
Tools with Multi-flow
Yushin Watanabe, Tatsushi Nishi
Osaka University, Japan

Cluster tools are widely used for semiconductor manufacturing.
Scheduling of multi-cluster tools has been received much attention. A
cluster tool consists of several processing modules, transfer modulewith single or dual-armed handling robot and loadlock modules. The
multi-cluster tool consists of two or three cluster tools which areconnected with buffer module. In this paper, we present a deadlock-freescheduling for dual-armed multi-cluster tools with multi-flow. We
develop a deadlock avoidance policy for dual-armed multi-cluster tools
with dual path. A Petri net model is analyzed to derive a deadlock
avoidance policy. The deadlock-freeness is confirmed by analyzing
siphon of Petri net model. The deadlock-free scheduling method is
proposed. The proposed method is applied to the scheduling problemof three-cluster tools with dual path. The computational results showthat no deadlock occurs with the proposed deadlock avoidance policy.

An Additive Manufacturing Resource Process Model for
Product Family Design
Ningrong Lei1, Seung Ki Moon1, Guijun Bi2
1
Nanyang Technological University, Singapore
2Singapore Institute of Manufacturing Technology, Singapore

Additive Manufacturing (AM) has a profound impact on the masscustomization of consumer products. To take advantage of this new
manufacturing resource we need to incorporate AM into existing
design methodologies. In this paper, we address this need by proposing
an AM resource process model for product family design. The
proposed model captures the ability of AM to produce arbitrarycomplex structures with virtually no tooling effort and it makes thesepowerful properties available to practitioners working in the field of
product family design. The proposed resource model is based on
topology optimization and Finite Element Analysis (FEA). This model
produces performance surfaces that can be used to select optimalcomponents for product family design. These optimal components
satisfy the product family requirements and address the need forprofitability and sustainability.

Simulation of Supplier - Manufacturer Relationship Modelfor Securing Availability of Teak Log in Furniture Industry
with Sustainability Consideration
Dyah Nurrahmawati Eka Putri1, Muhammad Hisjam1, Wahyudi Sutopo1,
Kuncoro Harto Widodo2
1
Sebelas Maret University, Indonesia
2
Gajah Mada University, Indonesia

Sustainability consideration is very important in decision making
related to furniture industry due to its raw material derived
fromforestst. Forest has important role for people because it gives
benefit in economic, social, and environmental aspects. This paper
focuses on developing a simulation model for the furniture industry,
especially in suppliermanufacturer relationship model for securing
availability of teak log with sustainability consideration. The simulation
model is used to overcome the uncertainty and the dynamism of realsystems and to generate alternative solutions for helping teak log
supplier. A supplier has to evaluate and analyze some alternativedecisions related to harvest and/or conserve the teak forest. The
decision making become complex, because it's related to dynamic forest

50

age classes, dynamic demand, the growth of tree that has naturalcharacteristics, and the uncertainty of illegal logging. The result showsthat simulation can help decision maker to increase supplier’s profit byconsidering sustainability.

Risk Sources and Their Influences on Consumers’ Purchase
Intention: A Research on Online Catering Group Buying
Shao-Hua Wang1, Yi Wen Chen2, Xi Chen11
Chinese Academy of Sciences, University of Chinese Academy of Science, China
2
Chinese Academy of Sciences, China

Group buying online has become more and more popular in years. This
article is expected to provide valuable references for sales activities infood and beverage service through the research and investigation onrisk sources and the factors that affect the purchase intention. The
questionnaire survey method is adopted in this paper of the researchand investigation on risks sources and the factors that affect thepurchase intention. The conclusion is: At the aspect of products
characters, consumers’ attentions focus on products quality, brandfamiliarity and evaluation comments by other buyers. At the aspect ofcharacters of the Group buying web sites, transaction safety, website’s
reputation are the focus from buyers. Finally, the factors such as internet
usage experience, price discount, brand familiarity and period ofvalidity, have a prediction function on purchase intention. In addition,
the Group buying experiences also has a prediction function onpurchase intention.

The “Soft” Obstacles to Quality Excellence Practices:
Evidence from the United Arab Emirates Industries
Mehran Doulatabadi, Sha'ri Mohd Yusof, Farhad Nejadi
Universiti Teknologi Malaysia, Malaysia

Achieving an excellence level of quality through a national quality
award model is a challenging task, maintaining it is even much harder.
This paper attempts to investigate the prevalent and main obstacles
related to the quality excellence practices with particular focus on
United Arab Emirates industries. Data for this research study werecollected using structured questionnaires that were distributed to 132
Dubai Quality Award (DQA) recipient companies. Descriptive statistics
was used to assess and rank the level of prevalent obstacles collectedfrom the sample companies. The results indicate the lack of time, highexpectations for quick results and lack of sufficient resources, as threepotential and common obstacles of quality excellence practices within
the UAE industries. The outcomes presented in this paper helporganizations in the region to enhance understanding of significant
problems that they are facing in their ongoing quest towards higher
quality levels.

Trade-In Concept for the Environment
Romeo Manalo1, Marivic Manalo2
1
Manila Electric Company, Philippines
2
De La Salle University, Philippines

This paper is about a framework that would minimize switching costsof an Electric Utility Company’s customers and public transportation
operators from their existing equipment to a more efficient alternative
to be provided by a trade-in company at a minimal or no cost. The
concept will also address the concern for the environment by reducing
toxic substances into the air caused by vehicle emissions such as carbon
dioxide. This concept will also reduce the dependence on fossil fuels
especially for the developing countries.

Innovation in Family-owned Food Companies in Japan

Yasuaki Yamasaki1, Kiminori Gemba2
1
Ritsumeikan University Graduate School of Technology Management, Japan
2
Ritsumeikan University, Japan

Purpose: This study presents an analysis of the role of innovation
among family businesses in the food industry in Japan. We focus on therole of innovation in food containers and packaging. Methodology: We
present case studies of four Japanese companies that have achieved
successful innovations in food products and packaging. These casestudies illustrate the contributors of successful innovation in familybusinesses. Findings: Our results show that family businesses provide
more opportunities for innovation. Originality: This study underscores
the strength of the family business in Japan, particularly in the area of
innovation and leadership.

A Study of Tourism Promotion Factors Affecting Tourists'
Demand in Thailand
Namtip Sakulngam, Sukree Sinthupinyo, Natcha Thawesaengskulthai,Supol Durongwatana
Chulalongkorn University, Thailand

There are variety of tourism products and services, However tourism
information is lack of consistency, not updated, and may not suitable toeach traveler. As a result, the provided information. Moreover, eachtravel plan creates many complications such as travel route, travel
planning, time and resting place. All of these factors cause thecomplication of traveling, even for the traveler who has experiences.
Hence, this study to aims at identifying factors that can increase traveler
demand to motivate tourism in Thailand. The study methodology
consists of three phases; i.e. reviewing literature to find motivation
factors, surveying using questionnaire as a research instrument tocollect data from 554 travelers, and indepth interviewing from ten
entrepreneurs from all types of travel in Thailand. The study shows thatthe factors consisting of activity types, reward types, and the traveler
types are the motivation affecting travel in Thailand. The activity type ishome stay. The reward type is traveling package promotion including
the hotel discount and reward goods. These findings can support
business to respond traveler’s demand effectively.

51

51

Session
Date
Time
Room
ChairsTK 4 Technology & Knowledge Management (4)12/12/2013
13:30 - 15:00
Salon A
Ville Ojanen, Foo Say Wei

Perfect Interaction: Facilitating Evaluation of Collaborative
Technologies for User Engagement in Engineering
Innovation Networks
Roula Michaelides1, Susan Morton2
1
The University of Liverpool, United Kingdom
2
Loughborough University, United Kingdom

The swift economic change in contemporary experience has seen
successful organisations seek to connect more rapidly and more
effectively with others in the creation of new knowledge. The last
decade has seen a growing interest in online networks as a formal andinformal schema for transferring and generating knowledge within
product development. These networks are rooted in the nature ofknowledge creation as a socially embedded process. Collaborativetechnologies have been widely accepted and adopted as platforms
facilitating innovation in the interactions of contemporary networks,
and this paper seeks to develop an evaluation schema and employ it to
examine how such interaction is facilitated through the medium of Web
2.0 technologies in an engineering network. The contribution of thisresearch to theory and innovation technology practice will be to further
the understanding of the impact of Web 2.0 technologies on engineering
innovation networks.

Universities Coping in the Changing Environment: Case
LUT CST
Matti Karvonen, Vesa Karvonen, Jyri Vilko, Tuomo Kässi
Lappeenranta University of Technology, Finland

The changing role of universities is a global phenomenon. Since the1980s, Finland has been transforming its national technology policy into
policy for innovation. At the same time universities are increasingly
expected to take part on commercialization in addition to their teaching
and research missions. One of the responses to this environmental
change has been an attempt to transform universities more into
‘entrepreneurial’ institutions. University is not an entrepreneurialorganization, but the third task of the university has immediate societal
impactbringing
entrepreneurialfeaturestouniversity.
Entrepreneurship can be understood also an atmosphere and a way ofworking. This paper uses a case of one particular public researchorganization, Centre for Separation Technology (CST) at Lappeenranta
University of Technology (LUT) in Finland, and its activities andprocesses to manage the change. The challenge seems to be how balanceand coordinate the entrepreneurial activities with the traditional
university activities.

Drilling Waste Handling and Management in the High North
Yonas Zewdu Ayele, Abbas Barabadi, Javad Barabady
University of Tromsø, Norway

The Arctic region has a harsh and sensitive environment at a remotelocation where special local considerations will influence the design,operation and management of any waste handling system installed in
the region. In order to develop a suitable waste handling system in theHigh North, the main technological and operational challenges need tobe identified and tackled. In this paper a methodology for identificationof waste handling system is developed for offshore drilling activities inthe High North. The developed methodology can help to ensure
fulfillment of health, safety, environmental, and quality (HSEQ)
requirements in the High North. This paper also discusses different
options for the handling and management of the drilling waste in theHigh North.

52

Forecasting the Success of Knowledge Management
Adoption in Supply Chain
Sachin Patil, R. Kant
Sardar Vallabhbhai National Institute of Technology, India

The Knowledge Management (KM) adoption in the Supply Chain (SC)is prolonged as well as expensive and its impact needs longer time.
Hence, forecasting of the success of KM adoption in SC is required
before going to its actual adoption. This study presents a combined
method of fuzzy DEMATEL and FMCDM to forecast the success of KM
adoption in SC. The fuzzy DEMATEL method is used to evaluate
weighting of each evaluation criteria's, after that FMCDM method uses
to obtaining possible rating of success of KM adoption in SC. The
proposed method demonstrated with the empirical case study of an
Indian organization. The proposed method is useful for forecast thesuccess of KM adoption in SC without actual implementation.

Configuration of High Performance Apartment Buildings
Renovation: A Constraint Based Approach

Elise Vareilles1, Andrés Felipe Barco Santa2, Marie Falcon3, Michel
Aldanondo1, Paul Gaborit1
1
University of Toulouse, France, Metropolitan
2
Pontificia Universidad Javeriana, Colombia
3
TBC Générateur d'Innovation, FranceThis paper looks at the possibility of configuring high performancerenovation of apartment buildings by the use of a constraint satisfaction
problem (CSP). A new thermal envelope wraps the whole building andallows it to achieve a really low energy performance of 25 kWh/m²/year.
This new thermal envelope is composed of rectangular panels, always
comprising insulation and cladding, and sometimes including, inaddition, doors, windows or solar modules. The panels can be fixed
directly onto the walls or onto a metal structure around the wholebuilding. The decision support system, based on CSP approaches, will
simultaneously enable the interactive definition of the renovation, theassociated bill of material (BOM) and the building site assembly process.
The range of knowledge to exploit and to model leads us to integrate
into a single decision support system different constraint types, such asclassical, dynamic, geometric and global constraints, as well as theirfiltering methods.

Product Data Management and Sheet Metal Features – Sheet
Metal Part Recognition for an Easier Designing Process
Producing Manufacture-friendly Products
Merja Huhtala, Mika Lohtander, Juha Varis
Lappeenranta University of Technology, Finland

PDM systems were created in the mid-1980s. The main goal was toorganize the drawings and data sheets, which were created during thedesigning process. Integration of PDM and CAD led to a situation
where an increasing number of features were required from the systems
to help the designers. Finally, this situation developed to a point where
no one was actually sure what contribution the PDM was making.
Nowadays, sheet metals are universally used in different kind ofindustries. Designing is challenging in many ways, therefore, if the
PDM could recognize sheet metal parts it could help the designing
process. With the help of the PDM and the DFMA, the products should
be more manufacture friendly and the designing time possibly shorter.
This paper points out the complexity of designing sheet metals, andraises the question of whether the PDM system could be a helpful toolfor designing manufacture friendly products.

52

Session
Date
Time
Room
ChairsTK 5 Technology & Knowledge Management (5)12/12/2013
15:30 - 17:30
Salon A
Dotun Adebanjo, Pei-Lee Teh

Commercialization of Early Stage University-based
Inventions

Matti Karvonen1, Rahul Kapoor1, Ville Ojanen1, Jussi Heinimö1, Hannu
Tervonen21Lappeenranta University of Technology, Finland
2
Technology Business Research Center, Finland

The changing university environment have meant a substantial rise in
the rate of commercialization of university-based technologies. This
paper presents a theoretical analysis of technology transfer process asperceived by different stakeholders in the innovation lifecycle. Data iscollected using semi-structured interviews with inventors, technology
transfer personnel, patent attorneys, consultants and investors.
Secondly, the secondary patent and market data was utilized for theselected case. This paper uses a case of Lappeenranta University ofTechnology (LUT) and its ongoing activities to accelerate thecommercialization process. The study takes one potential
university-based inventions – Micro Organic Rankine Cycle energy
converter – for deeper examination. The results contribute to a better
understanding of successful technology transfer process and thepotential challenges in the commercialization of early stage
technologies.

Research on Radical Innovation Design Process on the Stageof Fuzzy Front End by TRIZ
Enshun Ping, Runhua Tan, Jianguang Sun, Lizhen Jia
Hebei University of Technology, China

As a high-efficiency technology innovation, radical innovation (RI) canbe applied for modern enterprises to achieve leaping-over development.
It’s the great significance for enterprises to upgrade technology andenhance the capability of the independent innovation. Based on TRIZ
ideal final result (IFR) and technology evolution theory, the technology
forecasting process of product technology system radical innovation isput forward. The paper offers a kind of innovation method for productradical innovation design on the stage of fuzzy front end (FFE), which
considers the result as the final high quality ideas of FFE. As a casestudy, the direct shift gearbox (DSG) is investigated. The study showsthat the adoption of this method makes the application of the initialstage of product development feasible.

Patent Portfolio Analysis Using Citation Categories
Rahul Kapoor, Samira Ranaei, Matti Karvonen, Tuomo Kässi
Lappeenranta University of Technology, FinlandThis paper presents a method of using citation categories as a patentvalue determinant. The method is used to analyze the patent portfoliosof players in the European wind power market. Patent data for the casefirms is obtained from European Patent Office's (EPO) worldwide
PATSTAT database. Measure of hindrance and measure of
encroachment are defined as a way of assessing competitor patentportfolios. The results can help technology managers assess thecompetitiveness of their patent portfolios. It can help investors predict
technology leadership in an uncertain environment of emerging
industries.

53

Agility of Capability Development: The Multiple-Case
Study of Ericsson, Google, Microsoft and Nokia
Alar Kolk1, Mait Rungi2
1
Aalto University, Finland
2
Tallinn University of Technology, Estonia

Dynamic capabilities are meant to cope with environmental changes,
and since the changes happen more often and speed to market isincreasing, then the ability to identify corresponding capabilities
quickly is becoming extremely important. This study investigates theagility aspect of capability development in a qualitative setting on thebasis of four large information and communication technology
companies. Findings support that the existence of a supportive
environment in the form of a large capability portfolio and large
alliance portfolio are pre-requirements to speed up capability
development in contemporary market circumstances.

Enhancing NPD Operational Performance Through B2B andB2C Customer Involvement for Varying Degrees of Product
Technology
Dinush Wimalachandra, Bjoern Frank, Takao Enkawa
Tokyo Institute of Technology, Japan

The present article addresses how different types of B2B customer
involvement motives and B2C customer involvement motives affectdifferent dimensions of new product development (NPD) operational
performance in the B2B context. This study also explores themoderating effects of high vs. low product technology on therelationships between different types of customer involvement motives
and different dimensions of NPD operational performance. Based ondata collected from the textile and apparel industry in 10 countries, thecurrent study illustrates that B2C customer involvement has a greater
impact than B2B customer involvement on time-tomarket. Nevertheless,B2B customer involvement plays an important role as it contributes
more to quality than does B2C customer involvement. In addition, thestudy explains the different strategies that should be adopted in B2B
and B2C customer involvement when high vs. low product technology
is present.

Knowledge Capitalization and Synthesis for Integrated
Circuit Manufacturing in Thailand
Suthep Butdee, Varavut Hirunyasiri
King Mongkut’s University of Technology North Bangkok, Thailand

This paper proposes the knowledge capitalization and synthesis for an
integrated circuit manufacturing company which produces microchip.
The Microchip technology is rapidly developed and highly quality
needed. Therefore, it requires novel and modern knowledge to improve
quality and productivity. Traditionally, knowledge is maintained byusing documents according to an ISO procedure. The researchcontributes suitable ways of using media to communicate among staff
effectively and transfer knowledge to organization. New
transformation knowledge is applied and synthesis before stored in theknowledge based library. The questionnaire is created and distributed
through the quality department. It is then analysed. The result ofinvestigation is that the suitable knowledge synthesis media includes
email, announcement board and group meeting.

53

Session
Date
Time
Room
ChairsOR 3 Operations Research (3)12/12/2013
13:30 - 15:00
Salon BAli Siadat, Shin-Guang Chen

A Note on Dynamic Programming Formulations for
Scheduling Job Classes with Changeover Times on a Single
MachineEiji Mizutani
National Taiwan University of Science and Technology, Taiwan

We consider the problem for scheduling N jobs that are partitioned to F
disjoint classes (or families) subject to changeover (or setup) times inorder to minimize the total weighted completion time. We first identify
a published inefficient forward dynamic programming (DP) procedure
due to Potts (1991) that works in O(F^2N^(F+d)), where d is the numberof different changeover values (d < F^2). We then show how to make aforward DP progress in O(F^2*N^F ) by modifying the evaluation ofstage costs. Although the posed scheduling problem is believed to beamenable to backward DP (rather than forward DP) in the literature, theresulting forward DP can work at least as efficiently as an existing(best-known) backward DP procedure. In other words, both forward
and backward DPs can be rendered equally efficient when thedefinitions of states are changed appropriately for DP procedures. This
is why DP formulations are often said to be quite an art.

Modeling Multi-stage Assembly Systems with Finite
Capacity as a Queueing Network
Saeed Yaghoubi1, Amir Azaron2
1
Iran University of Science and Technology, Iran
2
Istanbul Sehir University, Turkey

This article models a multi-stage assembly system with finite capacity
as an open queueing network using continuous-time Markov process.
We also propose a multi objective model with three conflicting
objectives to optimally control the service rates, and apply the goal
attainment method to solve a discrete-time approximation of theoriginal multi objective problem.

Batching and Sequencing of Incompatible Job Families for aSingle Machine Problem
Mohamed K. Omar1, Yasothei Suppiah2
1
Nottingham University Business School, Malaysia
2
Multimedia University, Malaysia

This paper extends the work of Omar and Suppiah [1] and proposes
three combinations of heuristics that aim to minimize the total weighted
tardiness for batching and sequencing of jobs originated fromincompatible families with sequence dependent family setup time to beprocessed on a single machine. The developed three-combination
include EDD-EDD, EDD-BATCS and ATC-BATCS. Computational
performance experiments of EDD-EDD, EDD-BATCS and ATC-BATCS
using 640 randomly generated instances was studied. The results
indicate that the ATC-BATCS has outperformed the other two heuristics
in terms of quality of the solution (minimizing total weighted
tardiness).

54

Complexity Analysis of the Discrete Sequential Search
Problem with Group Activities
Kris Coolen, Roel Leus, Fabrice Talla Nobibon
KU Leuven, BelgiumThis paper studies the computational complexity of the discretesequential search problem with group activities, in which a set of boxes
is given and a single object is hidden in one of these boxes. Each box ischaracterized by a probability that it contains that object and the cost of
searching that box. Furthermore, each box may be related to one ormore ‘group activities’. For ‘conjunctive’ group activities, a box can besearched only when all the associated group activities have been
performed whereas for ‘disjunctive’ group activities, a box can besearched as soon as at least one of the associated group activities has
been executed. A cost is also incurred when performing a group activity.
The goal is to find a sequence in which the boxes are to be searched andthe group activities will be executed to minimize the expected total cost
while satisfying the precedence constraints imposed by the group
activities. In this paper, we prove that this problem is strongly NP-hardboth for conjunctive group activities and for disjunctive group activities,
and we discuss some special cases that can be solved in polynomial
time.

The Development of Heuristic for Solving Multi Objective
Mark Planning Problem in Garment Industry
Kritsada Puasakul, Paveena Chaovalitwongse
Chulalongkorn University, Thailand

Mark planning is an important process of garment manufacturing. The
main function is to generate a set of markers that will be used as cutting
patterns in cutting process. In this paper, multi objective mark planning
is formulated as integer nonlinear programming (INLP.) which
nonlinear terms occurred in both objective and constraints. Moreover,
objective functions consist of set up cost, excess part cost and total
standard deviation. Constraint programming approach established in
ILOG-CP is used to investigate the complexity and difficulty of this
proposed problem. However, this method takes too long computationaltime before obtaining the optimal solution. Hence, the heuristic
approach designed based on the hierarchical improvement anddecomposition concept together with special properties of this problem
is developed. In this method, each objective component will besequentially manipulated and improved with respect to their relative
priorities. To verify this developed heuristic, many test instances which
partially relate to industrial information are generated and tested. The
developed heuristic is shown to give the comparable solutions inreasonable computational time compare with ideal point which isderived from solving three single objective models in many test
instances.

Optimization Model for Part Nesting for Packing Problem
Mojahid Saeed Osman
King Fahd University of Pertoleum and Minerals, Saudi Arabia

The problem of packing cylindrical parts into rectangular is complex
and involves issues relating to geometry, and heterogeneity in the parts
and in their nesting requirements. Presently, putting parts within theinternal diameter of another part is accomplished ingenuity byoperators who are unable to decide on the best nesting that maximizes
the number of parts being nested. This paper addresses the nesting ofparts within one another as subproblem. We describe the developmentof integer LP model that resembles the transportation problem fornesting of cylindrical parts into rectangular. The model considers rulesthat need to be followed in part nesting.

54

Session
Date
Time
Room
ChairsOR 4 Operations Research (4)12/12/2013
15:30 - 17:30
Salon B
Amnon Gonen, Emrah Demir

A Stochastic Programming Formulation to Minimize the
Total Traveling Cost on the Northern Sea Route
Jinho Lee, Seongho Baek
Korea Naval Academy, South Korea

We consider the problem minimizing the total traveling cost on a
network under uncertainty in using edges due to some obstacles unable
to pass the edges. We formulate this model as a two-stage stochastic
program. Such a model can be applied to achieve the least-cost pathcrossing over the Northern Sea Route on the Arctic by considering ice
floes as obstacles that incur some extra cost to break it or detour fromthe path. Lagrangian relaxation is employed to solve an instance oflarge-scale by relaxing the coupling constraints linking the two different
types of decision variables with the associated Lagrangian multipliers.
It turns out that the relaxed problem can be separate into the twowell-known problems, the shortest path problem and the 0-1 knapsackproblem. In addition to establishing a lower bound from the Lagrangian
relaxation, an upper bound can be obtained by finding a feasible
solution via variable fixing.

Sequential Testing of 3-level Deep Series-parallel Systems
Gurkan Işık, Tonguc Ünlüyurt
Sabanci University, Turkey

Sequential testing problem requires the determination of the correctstate of a system with the minimum expected cost. It has a wide range
of applications. We consider the Sequential Testing problem of 3-level
deep Series-Parallel systems. We show that it is possible to compute theexpected cost of permutation strategies efficiently. We develop a hybrid
simulated annealing-tabu search algorithm by utilizing this efficientmethod and we report the results of computational experiments for thisalgorithm and other algorithms proposed in the literature and theirextensions.

Influence of Cutting Parameters in Face Milling of Nodular
Cast Iron Grade 500 Using Carbide Tool Affect the Surface
Roughness and Tool Wear
Surasit Rawangwong, Worapong Boonchouytan, R. Burapa, J. Chatthong
Rajamangala University of Technology Srivijaya, Thailand

Yuri Popkov, Alexey Popkov
Institute for Systems Analysis, Russian Academy of Sciences, Russian Federation

The purpose of this research was to investigate the effect of main factors
on the surface roughness in nodular cast iron FCD 500 face milling bycarbide tool. The results obtained from the analysis which used in theautomotive industry, manufacture of molds and other parts of theindustries. The etching experiments using semi-automated millingmachine Obraeci Strojie brand FGV 32 model. Concerned the material
was nodular cast iron FCD 500 using inserts carbide tool. The factors
study used a speed, feed rate and depth of cut. Preliminary experiments
showed that the depth of cut does not affect the surface roughness fix
depth of cut at 2 mm The experiment illustrated that the factor affecting
surface roughness was feed rate and cutting speed with tendency for
reduction of roughness value at lower feed rate and greater cutting
speed, it was possible determine a facing condition by means of theequation Ra = 0.996-0.000597 speed+0.000485 feed rate. Leading thisequation goes to use is in limitation speed 710-1,400 rpm at feed rate
224-450 mm/min. From the experiment is to confirm the result of acomparison between the equation and the action value. The result fromthe experiment of mean absolute percentage error of the equation of
surface roughness is 3.90% which is less than the margin of error and isacceptable. Pattern of wear was similar to mechanical fatigue cracking.
It may be due to the very tip of the cutting tool or an impact and flankwear as cutting tool materials resistant to wear less.

A Model of Placing Liaisons in Multi-levels of an
Organization Structure of a Complete Binary Tree
Minimizing Total Distance

The Role of Purchasing Management Towards Sustainable
Supply Chain: A Lifecycle Perspective

Restoration of Randomized Model Characteristics under
Small Amounts of Data: Entropy-Robust Estimation

The paper presents a new approach to defining the relationships
between small amounts of input and output data. This approachproceeds from involving randomized (static and dynamic) models andestimating the probabilistic characteristics of their random parameters.
We consider static and dynamic models described by Volterra
polynomials. The procedures of robust parametric and non-parametricestimation are constructed by exploiting the entropy concept based on
the generalized informational Fermi-Dirac entropy and the generalized
informational Boltzmann entropy.

Kiyoshi Sawada
University of Marketing and Distribution Sciences, Japan

This paper proposes a model of placing liaisons in multi-levels of apyramid organization structure such that the communication of
information between every member in the organization becomes themost efficient. When L nodes of liaisons which get adjacent to all nodes
at each depth of L depths are placed in a complete binary tree of heightH, an optimal set of depths {N_1,N_2,...,N_L} (H>=N_1>N_2>...>N_L>=2)
is obtained by minimizing the total distance which is the sum of lengthsof shortest paths between every pair of all nodes in the complete binary
tree. It is shown that {N_1,N_2,...,N_L}* = {H,H-1,...,H-L+1}.

55

Kamonmarn Jaenglom, Zaheer Tariq
University of Bergamo, Italy

The concept of sustainable growth has been gaining ground to more
intense competition in the business world. To contribute a moresustainable business, organizations should reconceive their value
creation by inwardly focusing on economic, environmental and societal
values simultaneously. As purchasing and supply management has
been on the forefront of every business process, the decision making inthis process should understand the various potential risks over a longtime horizon in term of a product lifecycle perspective. In this view, thepaper aims to develop strategic purchasing and supply management
based on the Kraljic Model for building a long-term systematic thinking
towards supply chain sustainability. The support of the model coupledwith a lifecycle perspective would allow the organizations to design
suitable long term purchasing strategies, contributing more sustainablevalues along an entire supply chain.

55

Session
Date
Time
Room
Chairs

HF 2 Human Factors (2)12/12/2013
09:00 - 10:30
Rachavadee
Shih-Miao Huang, Suprakash Gupta

A Study of Affective Meanings Predicting Aesthetic
Preferences of Interactive Skins
Shih-Miao Huang
National Formosa University, Taiwan

This study was to explore the affective qualities which influence
subjects’ aesthetic preferences. Forty-six subjects assessed sixteen skins
on an aesthetic preference scale and eleven affective meaning scales.
The aesthetic preference was regarded as a dependent variable; theeleven affective meanings were independent variables. The Stepwise
Regression Analysis was performed. The result showed that six
affective meanings: “exquisite”, “original”, “strong”, “childlike”,“intense” and “pure” entered the model. Besides, “exquisite”, was themost important affective quality in judgment of aesthetic preferences. It
implied that designers had to create the interactive interfaces with an“exquisite” affective quality to please users’ aesthetic affects.
Furthermore, the other five affective meanings which were not selected
into the model were called LoSPA affective meanings. It indicated that
subjects had different aesthetic preference levels for skins evoking theaffective meaning in LoSPA. It implied that a specific user group would
prefer the skins evoking the affective meaning.

Generating a Research Keyword Structure on Human Haptic
Interaction using a Social Network Analysis Tool

Joobong Song1, Ji Hyoun Lim2, Sanghyun Kwon1, Ilsun Rhiu1, Byungki Jin1,
Sangoo Bahn3, Myung Hwan Yun1
1
Seoul National University, South Korea
2
Hongik University, South Korea
3
Myongji University, South Korea

The field of haptic interaction is inherently multidisciplinary andadopts knowledge from many areas, including robotics, experimental
psychology, biology, com-puter science, systems and control, and others.
It is an im-portant first step in research reviewing overall areas of
hap-tic related researches, as well as reviewing the specific area of focus.
For this purpose, it is important to ensure objective research direction
based on the clear and enlightening anal-ysis of the research trends inthis field. This study aims to identify the rela-tionship among overall
areas of haptic re-lated researches using a network analysis technique.
We collected keywords of haptic related researches from several
journals and used those as an input for conducting network analysis.
Then, we also classified the areas of haptic re-searches by analyzing therelationship among keywords. From the network analysis, we foundthat haptic related researches could be classified into two areas; (1)Technology perspectives related to the application of haptic technology
and (2) User perspectives related to the perception of haptic sensation.
The keyword structure generated from this study is expected to provide
basic knowledge on the trend and current status of researches in humanhaptic inter-action.

Emotional Mental Model
The Discussion of Machinery Manufacturing Industry
Employees’ Self-Efficacy, Organizational Learning and job
Performance: The Example of Taichung Industrial Park
Tzuu-Hwa Jiang, Shien-Liang Chen
Asia University, Taiwan

The purpose of this study is to explore the mediating effect ofself-efficacy in the organizational learning and job performance
relationships using the machinery manufacturing employees inTaichung Industrial Park (T.I.P) as the research targets. Throughreviewing of the literature in self-efficacy, organizational learning andjob performance, I establish a causal relationship among threeconstructs. The research questionnaires were sent to 320 employees
among 80 of 209 mechanical equipment manufacturing firms using ofstratified random sampling study, there returning of 257 questionnaires
were designed as a research tool basis using of the hierarchicalregression analysis to confirm that self-efficacy through the mediating
effect of organizational learning, and be able to affect on organizational
performance, and to discuss the managerial implications based on the
results to propose the directions for future research.

Comparison of AHP and Fuzzy AHP Methods for Human
Resources in Science Technology (HRST) Performance Index
Selection
Ying-Chyi Chou1, Hsin-Yi Yen1, Chia-Chi Sun2, Jau-Shin Hon1
1
Tunghai University, Taiwan
2
Tamkang University, Taiwan

The purpose of this article is to compare AHP and fuzzy AHP methods
for human resources in science technology (HRST) performance index
selection. Both the AHP and Fuzzy AHP are extremely useful when adecisionmaking process is complex, as they can prioritize
multiplechoice criteria into a hierarchy by assessing the relative
importance of criteria, and generate an overall rank of alternatives.

56

Constantin von Saucken, Ioanna Michailidou, Udo Lindemann
Technische Universität München, Germany

The design of User Experience (UX) demands the consideration of
expectations and remembrance on the product use. We think of mental
models (widely used in usability) as being a good approach to influence
expectations, although emotional aspects are not considered so far. In
this paper we introduce the concept of Emotional Mental Models andcorresponding product descriptions to help researchers, designers,
customers and other stakeholders in UX design process anticipating
experiences and communicating the emotional impact. These
representations need to be rather image-based focusing the emotionaldescription coming from users’ motives instead of a technology-driven
perspective. We discuss storytelling and metaphors as suitable
representations to create shared Emotional Mental Models.
Furthermore, we describe the deficit of representations in design
practice and the potential to enrich engineering design by appropriate
illustrations.

Preliminary Study on Systematic Literature Review of Vision
Research
Y. L. Rhie1, Ji Hyoun Lim2, S. H. Ahn1, G. W. Kim1, Myung Hwan Yun1
1
Seoul National University, South Korea
2
Hongik University, South Korea

This study introduces systematic review of literatures on human vision.
Both content analysis and network analysis are used to quantitatively
analyze recent trends in human vision research. Three terms, ‘visual
search’, ‘eye movement’ and ‘eye track’, were selected as the central
keywords characterizing the research field. Seven sub-categories ofresearch keywords were selected and analyzed in content analysis
method. Chronological application on content analysis showed adistinct trend that the publications of ‘experimental studies’ on humanvision have continuously increased comparing to the ‘theoreticalstudies’. Network analysis showed unique structural characteristics on
three search keywords, showing the keyword ‘eye movements’ play a
critical role in connecting various areas of vision research. Using theresults of the study, it was possible to point out; (1) the structuralcharacteristics of a potential research topic and (2) the relationshipbetween the research topic and keyword networks generated from thisstudy.

56

Session
Date
Time
Room
ChairsET Engineering Education & Training
12/12/2013
11:00 - 12:30
Rachavadee
Arik Sadeh, Jan Harm Pretorius

Triple Constraint Considerations in the Management ofConstruction Projects
Tshweu Mokoena, Jan Harm Pretorius, Jurie Van Wyngaard
University of Johannesburg, South Africa

Projects over the years failed to be completed within the specified triple
constraint, hence lack of development in skills and infrastructure. The
objective of the research is to assess the triple constraint and determine
sources of failures in order to increase the success rate of construction
projects in South Africa and to give priority on the triple constraint.
Both the contextual and fieldwork survey attribute failure ofconstruction projects to lack of understanding and poor management of
the triple constraint elements and trade-offs.

From the Development of Robots to the Management of
Oraganizations – a Discussion of the Integrative Approach of
the Industrial Engineering Discipline
Sigal Koral-Kordova, Moti Frank, Arik Sadeh
Holon Institute of Technology, IsraelThis paper deals with academic undergraduate 'Industrial Engineeringand Management' programs.
The recent evolving changes in the economy and industry must be
updated and adapted to the industrial engineering curriculum, whose
graduates will be integrated into the competitive market.
During this study, a T-Shape dilemma had been examined in regard tocurriculum in the discipline of industrial engineering and management.
The T shape dilemma discussed here places the depth of the curriculumin industrial engineering as oppose to the extent of the curriculum as awidthwise multidisciplinary.
In order to examine this dilemma, 16 semi-structured interviews were
held with senior-level managers in industry, as well as with leading
academicians in the industrial engineering discipline. The findings
were divided into 77 main repeating categories that rose during thevarious interviews. From a content analysis of the interview findings,
several principles may be deduced upon which the industrial
engineering curriculum in academia should be based.

Knowledge Transfer Practices at Indian Premier Institute ofHigher Learning in Technology
Kalyan Kumar Bhattacharjee, Ravi Shankar, M. P. Gupta
Indian Institute of Technology Delhi, India

In this paper the status of knowledge transfer at an premier Indian
Institute of Higher Learning in Technology (IHLT) have been portrayed.
Smooth knowledge transfer helps in better understanding of the subject
and it helps in achieving administrative and academic efficiency. An
questionnaire-based survey has been done where responses of 922 UG
students have been analyzed to ascertain the extent to whichknowledge transfer is successful in IHLT.

57

The Impact of Teacher and Peer Communication on
Adolescents’ Learning Outcomes – Positive Perception
Makes Better Performance
Jianhong Li1, Gangyu Jin1, Yi Wen Chen2
1
University of Chinese Academy of Sciences, China
2
Chinese Academy of Sciences, China

This study aims to probe the effects of teachers’ and peers’communication style and quality on adolescents’ cognitive andemotional learning by questionnaires and regression analysis. The
relations between impact of emotional learning and academic learning
are examined; and the intermediate variable of learning performance isfound out to be learning motivation. Results show that students’
perception of communication style would will affect their learning.
Emotional learning affects cognitive learning-positive perception makes
better performance, and vice versa. Among communication styles, theattentive style has an impact on communication quality.
Communication quality does have influence on academic performance,
but it is mediated by teacher-student communication relationshipperceived by students. Motivation partially mediates the influence ofteacher-student and peer communication on students’ learning
outcomes.

Exploring the Required Personality Traits for Automotive
Technician: A Human Resource Development Perspective
Hsiu-Te Sung, Han-Jau Niu
National Taiwan Normal University, Taiwan

The purpose of this study aimed to establish indexes of “Required
Personality Traits of a Technician for Automotive Mechanic”. Seven
personality domains were developed that included influence, self-drive,
self-awareness, socialization, thoroughness, self-management ability,and psychological adjustment, meanwhile, each domain contained six
indices as an initial step. Those indices were reviewed via a developed
Delphi questionnaire with two surveys. Experts were composed of ninescholars and administrators respectively. The final indices consisted offorty-six items from Execution Ability, Loyalty, Self- Management,
Self-Drive, Communication and Coordination, Psychological
Adjustment, Influence, and Tolerance.

Evaluation of a Restful Web Services Driven Three
Dimensional E-learning Platform with Mashup for
Ubiquitous and Personalized Learning
Chuan-Jun Su, P. T. Liu, Cheng Huang
Yuan Ze University, Taiwan

The ultimate goal of E-learning – “empowerment” which enables
learners to complete their dynamic learning processes in a personalized,
social, and ubiquitous setting has not been fully realized. With theintroduction of Web 2.0 technologies, E-learning 2.0 takes a“lightweight, loosely coupled” approach that integrates discrete but
complementary widgets and web services. However, E-learning 2.0 is
still suffering from untrustworthiness as being created by amateurs andway of wasting time in chat or social networking. In this paper, we
describe our development of a Restful web services driven three
dimensional E-learning platform REMAP with built-in mashup
capability to transgress the boundaries of traditional institutions andaccess tools/services easily for personalized ubiquitous learning. We
discuss three dimensions to investigate the satisfaction and usability ofusing REMAP. The REMAP can not only promote learning that is morerichly collaborative but also enable learners to come closer to 'anytime
anyplace' learning.

57

Session
Date
Time
Room
ChairsDM 2 Decision Analysis & Methods (2)12/12/2013
13:30 - 15:00
Rachavadee
Usha Ananthakumar, Ralph Riedel

Stochastic Total Cost of Ownership Forecasting forInnovative Urban Transport Systems
Dietmar Goehlich, Felix Spangenberg, Alexander Kunith
Technical University of Berlin, Germany

This paper presents a financial forecasting method for innovative urban
transport systems. The Monte Carlo simulation accounts for future
uncertainties such as technology-related and market risks. The method
is based on a total cost of ownership (TCO) approach and exemplary
results are shown for the introduction of an innovative electric bus
system in the city of Berlin. The input parameters are stochasticallymodeled including future adverse events as well as favorable scenarios
for the years 2013, 2020 and 2030. In contrast to determined futurescenarios which provide only discrete results, the probability
distribution of future system TCO is assessed. The simulation reveals
when alternative technologies reach the TCO break-even. The results
can be used to derive a technology roadmap. Furthermore, using asuitable visualization the decision-making process for complex
investments typical for technology changes (e. g. replacement of acomplete bus fleet) is supported.

Semiconductor Yield Loss' Causes Identification : A Data
Mining Approach
Hasna Barkia, Xavier Boucher, Rodolphe Le Riche, Philippe Beaune,Marie-Agnès Girard, D. Rozier
Ecole Nationale Supérieure des Mines de Saint-Etienne, France

Semiconductor manufacturing processes are known to be long andcomplex. Starting from a silicon wafer, multiple treatments are applied
for about three months. Mastering the manufacturing process and a
rapid identification of yield loss' causes are the keys to a successful
manufacturing site. A production cycle is composed of a combination of
production and quality inspection steps. Data are collected at
production and quality control steps which lead to huge heterogeneous
databases. In order to understand yield loss causes, we propose a KDD(Knowledge Discovery from Databases) approach, which explores theknowledge hidden in these multiple databases, by identifying, first,
clusters in the different databases and, second, relational patterns
between them. These relational patterns represent potential yield loss'
causes.

P2CLUST: an extension of PROMETHEE II for orderedclustering
Yves De Smet
Université Libre de Bruxelles, Belgium

We address the problem of multicriteria ordered clustering i.e. thedetection of ordered categories in a multicriteria context. Therefore, we
propose an extension of PROMETHEE II called P2CLUST. The
algorithm is both inspired by the kmeans procedure and the underlying
idea of the FLOWSORT method. The algorithm is tested on two realexamples.

58

Selection of Non-traditional Machining Processes: A
Distance Based Approach

Tonmoy Choudhury1, Partha Pratim Das1, Manish Roy1, Ishwar Shivakoti1,
Amitava Ray2, B Pradhan1
1
Sikkim Manipal Institute of Technology, India
2
National Institute of Technology, India

With accelerating progress in the field of machining, use of newer andharder materials like titanium, stainless steel, high-strength
temperatureresistant (HSTR) alloys and ceramics has become commonand has resulted in a number of available Non-traditional machining(NTM) processes. With increased number of available options, the needarises to select the most efficient NTM process for machining a desired
shape feature on a given material. This paper focuses on selection of
NTM process based on hybridized ‘technique for order preference bysimilarity to ideal solution’ (TOPSIS) and an analytical hierarchy
process (AHP) expert system in which an AHP matrix is referred. The
weights of this matrix are obtained from the process selection criteria.
Further depending upon the weights obtained, the relative closeness of
the NTM alternatives are evaluated using TOPSIS which shows that
Electrochemical Machining(ECM) and Plasma arc Machining(PAM) are
the best NTM processes and the worst NTM process is Electro
Discharge Machining(EDM).

Modeling Brain and Behavior of a Terrorist through Fuzzy
logic and Ontology
Rajkumar Vishwakarma, R. Shankar
Indian Institute of Technology Delhi, India

Security agencies across the world are facing major challenge from theterrorism. Challenge lies in establishing intergang relationship andintra-gang behaviour. Though security agencies maintain structured
and unstructured data, mining the database and doing predictive
analysis is still very difficult task. In India various terrorists groups viz
Al-Qaida, LeT and other international militant groups carry out various
disruptive activities. In 2010, 132 police officers lost their lives invarious operations against militants and extremists in India. We haveshown how ontology of crime-criminal world can help in establishingintergang relationship. Call records of phones can be analyzed andontology can link various criminals belonging to various gangs and canpredict inter-gang relationship. Based on the field data we have shownhow terrorists based in Northeast India have developed links with
Left-wing extremists operating in central part of India. At the end we
provide a mathematical model based on fuzzy logic to understandextent of criminality.

Vehicle Scheduling Problem: A Comparative Study between
Light Truck and Motorcycle in Small Patisserie Network
Chivalai Temiyasathit, Phathinan Thaithatkul
King Mongkut's Institute of Technology Ladkrabang, Thailand

Transportation and distribution network are mandatory keys for thebusiness expansion and successful; hence, numerous researches in
improving transportation efficiency have been introduced. Our study
introduces an alternative to improve the transportation efficiency aswell as assist in decision making of management team. A case study of asmall patisseries chain in which the main transportation characteristic issubjected to temperature sensitivity is introduced. This study can be
categorized as vehicle routing and scheduling problem with time
window constraints. A comparative study between two types of vehicle
is conducted. The vehicle routing and scheduling are simulated in thevarious criteria. The result shows that motorcycle is more preferable forsingle supplier with six customers located in the metropolis. Motorcycle
overcomes light truck in term of fixed cost, but yield slightly higher
variable cost. However, when the number of customer increases, lighttruck becomes more preferable in term of vehicle capacity.

58

Session
Date
Time
Room
ChairsDM 3 Decision Analysis & Methods (3)12/12/2013
15:30 - 17:30
RachavadeeFrank Felder, Zhe Zhang

Application of Extreme Value Theory in Commodity Markets
Usha Ananthakumar1, Ashwin Durga2
1
Indian Institute of Technology Bombay, India
2
Pricewaterhouse Coopers, India

Extreme value theory (EVT) is the theory of modelling and measuring
events which occur with very small probability. This implies its
usefulness in risk modelling as risky events happen with low
probability. In our study, we have focused on the prices of Gold andSilver which have been one of the preferred investments over the
centuries. Initially, univariate analysis is carried out to model theextreme values of gold and silver separately. In order to assess the joint
behavior, bivariate analysis is also carried out on the extreme values.
Thus, Extreme value theory is used to know the characteristics of the
distribution of these precious metals thus enabling us to choose a bettermodel by focusing on the tails of the distribution.

Change Propagation Analysis for Sustainability in Product
DesignSam Yeon Kim1, Seung Ki Moon1, Hyung Sool Oh2, Taezoon Park3,
Gyouhyung Kyung4, Kyoung Jong Park5
1
Nanyang Technological University, Singapore
2
Kangwon National University, South Korea
3
Soongsil University, South Korea
4
Ulsan National Institute of Science & Technology, South Korea
5
Gwangju University, South Korea

Components in complex systems are intricately interconnected witheach other. When design changes are needed in terms of sustainability,
it is necessary to understand how change propagates and affects othersystems. Therefore, the objective of this paper describes how to define
the cause of a sustainable design change and the effect of change
propagation by utilizing Change Propagation Analysis (CPA) andsystem dynamics. The interconnections of components in a complex
system are investigated by Design Structure Matrix (DSM) and system
dynamics. Design changes are subdivided into sustainable classes by
the sustainable checklist. The likelihoods of design change aremeasured by designers in functional DSM and sustainable impact
values are calculated by using the sustainable checklist and expressedin sustainable DSM. The system dynamics is used to analyze andvisualize patterns and behaviors of sustainable changes based on DSM.

Equilibrium Strategy of a Processor-Sharing System with
Discriminatory Discipline
Ying Shi, Zhaotong Lian
University of Macau, China

We study the equilibrium strategies of a processor-sharing service
system with discriminatory discipline. We consider both cases that
customer can or cannot observe how many customers in the systemupon arrival. Respectively, we obtain a threshold strategy for each classof customers in the observable case, and the customer’s equilibrium
arrival rate in the unobservable case. And further, we derive the boundsof the service price and give an effective algorithm to calculate theoptimal service price to maximize the service provider’s profit. Finally,some numerical examples are given to verify our results.

59

Weighted Additive Fuzzy Goal Programming-based Decision
Support System for Green Supply Network Design
Kanda Boonsothonsatit, Sami Kara, Berman Kayis, Suphunnika Ibbotson
The University of New South Wales, Australia

Green supply network design (GSND) requires trading off multiple
objectives like cost, lead time, and environmental impact. These
objectives may be in conflict with each other as well as being vague
when their target values (goals) are specified with different weights
corresponding to supply chain strategies. The multiple conflicting
objectives are optimized by using Goal Programming (GP). GP
integrates with Fuzzy set theory (FGP) to address the goal vaguenessand Weighted Additive operator (WAFGP) to allow decision makers
differently emphasizing the goals. The WAFGP-based Decision Support
System (DSS) for GSND contributes to the Pareto-optimal cost, leadtime, and environmental impact in correspondence with supply chain
strategies.

Multiple Criteria Model for Evaluation and Selection of
Outsourcing Service Countries: A Case Study in the East andSoutheast Asia

James K. C. Chen, Van Kien Pham, Chih-Sung Chang, Thi Le Huyen Nguyen
Asia University, Taiwan

Outsourcing has for some time been, considered as one of the mosteffective strategies by which firms may reduce costs and sustain theircompetitive advantages over rivals. Making an outsourcing decision is avery complex process because it requires decision-makers (DMs) tomake a comprehensive evaluation of multiple criteria which often
conflict with each other. The evaluation and selection of these countries
is therefore basically a multi-criteria decision making problem (MCDM).
Over the last two decades, there is a great number of method have been
introduced to deal with MCDM problems, so it would be more perfectto look at MDCM methods as a whole. For these reasons, the purpose ofthis paper is to review the literature of MCDM methods, and thereby toconstruct a simple MCDM-based model to help managements evaluate
and select the best outsourcing location for their companies. The study
utilized the AHP approach as an empirical example to confirm theusefulness of the MCDMbased model based on seven typicallyemerging countries chosen from the East and Southeast Asia regions. In
short, the research provides general view and practice for readers andDMs in relation to the problem of outsourcing destination selection.

Hotel Classification Visualization Using Natural Language
Processing of User Reviews
Takayuki Suzuki, Kiminori Gemba, Atsushi Aoyama
Ritsumeikan University, JapanThe number of consumer-generated media etc has increased rapidly
because of the diffusion of the Internet. Moreover, word-of-mouthcommunication has increased as well. However, many enterprises areunable to effectively analyze such information to offer better products
and services to their customers. To address this strategic deficiency,
some enterprises have analyzed these communication trends as ameans to improve the quality of the services they provide, and thus,increase customer satisfaction. Accor Hotels, for example, relies on a
consulting firm to analyze word-of-mouth communication with the aimof improving the quality of the company’s services. Given these trends,
the objective of this study was to use a technique called natural
language processing to analyze word-of-mouth communication among
consumers regarding their experiences with various hotels. Further, weseek to categorize and visualize language patterns on the basis of thevalue the hotel enterprises provide for their customers.

59Session
Date
Time
Room
ChairsSC 3 Supply Chain Management (3)12/12/2013
09:00 - 10:30
Ubonchard
Gyan Prakash, Edie Schmidt

Pricing Stratery of Closed-loop Supply Chain Based on
Premium and Penalty Mechanism
Juhong Gao, Wang Haiyan, Han Hongshuai, Hou Liting
Tianjin University, China

This work analyzes the pricing strategy of closed-loop supply chain(CLSC) based on premium and penalty mechanism under decentralized
decision-making using Stackelberg game. The four strategies (freestrategy, subsidization strategy, carbon taxation strategy, subsidizationand carbon taxation strategy) of premium and penalty mechanism arestudied. The equilibrium values for CLSC member decisions arederived. Analytical results suggest that government should adopt thesubsidization and carbon taxation strategy which can not only
effectively reduce total carbon emissions, but also enhance recycling
rate. Numerical results validate the conclusion, and further analyze theeffects of subsidies and carbon taxes on the recycling rate, total carbon
emissions and profits of CLSC.

3-Echelon Distribution Policy with Order Flexibility andDirect Ordering System
Yosi Agustina Hidayat, Lucia Diawati, Yudi Thaddeus, Seto Sumargo
Bandung Institute of Technology (ITB), Indonesia

This paper considers a three-echelon supply chain inventory problem
consisting of single manufacturer, distributor and retailer. In the system
under discussion, the manufacturer produces a product and supplies itto the distributor and it is also allowed to direct shipping to supplierfacing a deterministic demand but the time span of delivery is relatively
short. We develop some scenario to accommodate special policies thatminimizes the total cost and subsequently taking into account the lossof flexibility in the condition when the size of order quantity is too big.
Model development discussed in this paper is to enable the model tochoose not only the distributor but also the manufacturer as a candidateof supplier. The objective function is to minimize the total expected costof the system. An algorithm is developed to obtain the optimal solution
and a numerical example is also included to show the results of the
proposed model.

Supply Chain Management: Workforce Education
Regena Scott, Edith Schmidt
Purdue University, United States

The purpose of supply chain management is to facilitate process
improvement and satisfy the demands of end-user. “Companies resort
to supply chain practices to improve their performance.”[1] The role ofthe supply chain manager is to manage the processes and related
activities across all supply chain channel members. Rapid changes inindustry and demands for product specialization increase the benefits
inherent in effective supply chain management. Strategic processplanning, constructive use of resources, effectively managing theorganizations human resources and consistent implementation of
innovative processes and ideas, are all pivotal elements necessary toconstruct and manage successful supply chain organization. This paper
will discuss the role of a well-educated and well-trained leadershipteam and workforce and how supply chain education can strengthen
the collaborative supply chain.

60

Experiences from an NSF I/UCRC on Engineering Logistics
and Distribution

Babur Pulat, Thomas Landers, Pakize Pulat, Cengiz Altan, Zahed Siddique
University of Oklahoma, United States

The College of Engineering of the University of Oklahoma (OU)
embarked on a journey to develop and maintain an I/UCRC(Industry/University Cooperative Research Center) for ten years under
the guidance of the NSF (National Science Foundation) on the topic ofEngineering Logistics and Distribution (CELDi). CELDi is amulti-university center of excellence promoting collaboration between
faculty at various universities and technical professionals in theirpartner companies to solve logistics and distribution related problems.
This paper presents the development, growth, and the graduation of
OU’s CELDi center from NSF’s oversight. We also cite specificdevelopment projects, and get into the critical success factors for such
centers in the United States. Return on University’s investment in thecenter was 1,898%.

Factor Analysis of Rational Trust among Supply Chain
Partners in Indian Industries
Gaurav Tejpal1, Rajiv Kumar Garg2, Anish Sachdeva2
1
Amritsar College of Engineering & Technology, India
2
Dr B.R. Ambedkar National Institute of Technology, India

Primary purpose of this paper is to apply factor analysis on the datacollected for Rational Trust; second by to reduce the data collected to afew factors; third, to propose names of the factors and finally to develop
a context-related and multi-perspective concept called ‘trust’ amongsupply-chain members. A total of 117 responses of questionnaires werecollected and analyzed and a number of key findings emerged. The
field is relatively “new” one for supply chain management as consensus
is lacking on the definition of the term. Factors loading on Rational
Trust emphasize to focus on three factors and the proposed name forthe key factors of Rational Trust are Economics of relationships,
Dynamic Capabilities of Partners & Technology Adoption.

Designing Supply Chain Analysis Tool Using SCOR Model(Case Study in Palm Oil Refinery)

Fitra Lestari1, Kamariah Ismail1, Abu Bakar Abdul Hamid1, Wahyudi Sutopo2
1
Universiti Teknologi Malaysia, Malaysia
2
Sebelas Maret University, Indonesia

Business strategies of palm oil supply chain include linkages between
plantation as suppliers, milling, refining and customer. Case study on
palm oil refinery shows the distribution of product from supplier tocustomer has a pattern that can be standardized into operational
procedures within business processes. This paper aims to present theimplementation methodology of SCOR Model based case study on
palm oil refineries using the software Process wizard. The methodology
can facilitate the blending of business objective, strategy, process andtechnology in the supply chain. The result shows SCOR templates isvery useful tool for the design of a supply chain configuration and also
provide the ability to improve the system through best practice projects.
It is necessary to note that the software Process wizard can be used as atool for analyzing configuration operations of the supply chain.

60

Session
Date
Time
Room
ChairsSC 4 Supply Chain Management (4)12/12/2013
11:00 - 12:30
UbonchardLesley Walls, Premaratne Samaranayake

Demand Information Sharing Impact on Supply Chain
Management under Demand Uncertainty. A Simulation
Model

Ana Paula Barroso, Virginia Machado, Virgilio Cruz-Machado
Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, Portugal

The modern business environments are subject to uncertainties that canadversely influence the supply chain performance. Demand
information sharing between supply chain entities can improve thesupply chain performance. To encourage them to share information, thegenerated benefits need to be comprehensively recognized. Simulation
allows doing so.
This paper intends to quantify the impact of the demand information
sharing on supply chain management under demand uncertainty. The
performance measure used is total costs. A simulation model of the
supply chain of a case study was developed in Arena software.
Customer demand is modeled by a normal distribution. Four scenarios
are simulated with two different standard deviations each one with andwithout demand information sharing between supply chain entities.
The results analysis shows that an increase in the customer demandvariability worsens the studied performance measure. However, theintroduction of demand information sharing improves the supply chain
performance measure.

Models for the Optimization of Supply Chains - A Literature
Review
Florian G. H Behncke1, Julia Ehrhardt1, Udo Lindemann2
1Technische Universität München, Germany
2
Technische Universität München (TUM), Germany

Manufacturing firms respond to fierce competition on global markets
through a concentration on their core competences. As a result, thecompetitive position of OEMs depends on the individual performanceof their suppliers as well as their arrangement in the supply chain.
Against this background this paper presents the results of a literature
review on optimization models of supply chains. Thereby, this paper
reveals
five
different
categories;
deterministic-analytical-,stochastic-analytical-, economic-, simulation- and structural models.
Moreover, the 14 models are analyzed against established performance
criteria to foster a demand-oriented development of future optimization
models for supply chains.

Modeling and Optimization of Inventory and Sourcing
Decisions with Risk Assessment in Perishable Food Supply
ChainsZheng Ren, Arjaree Saengsathien, David Zhang
University of Exeter, United Kingdom

Today, the food industries are transforming towards interconnected
global networks. Food safety scandals and globalization of foodproduction has sparked heightened public attention to the risks in the
supply chain from farms to consumers. In response, it is of great
importance that food supply chains consistently provide high quality
foods, safety guarantees and transparency. The assessment of the entire
food supply chains should now be integrated with risks assessment,
food quality and safety management, sustainability and trace ability.
For inventory management, the focus shifts from merely minimizing
inventory costs, to carefully balancing with wastage and risks exposed.
Consequently, this paper proposes a model to determine inventory andsourcing decisions in food supply chains. The model aims to minimize
total costs and reduce wastes from unqualified items, while achieving
necessary robustness in coping with risks generated. Food quality
degradation is integrated in the final model for the purpose of productquality control throughout the food supply chain.

61

Developing a Two-echelon Inventory Model with
Simultaneous Consideration of Backorders and Lost Sales
S. Kamal Chaharsooghi, Hassan Yadegari
Tarbiat Modares University, IranOne of the most important challenges in inventory control of an
efficient supply chain is to minimize logistics costs for each member ofthe chain. This challenge is even more important when facing
non-deterministic demands. In this paper, a divergent two-echelon
inventory model is developed to minimize logistics costs (ordering,holding and shortage costs) both for a warehouse and retailers whenfacing a Poisson stochastic demand. First, a mathematical model isdeveloped which consists of one warehouse and multiple retailers withordering, holding and shortage costs. The warehouse, similar to theretailers, has both backorder and lost-sales shortage costs
simultaneously. This simultaneous combination of backorder andlost-sales shortage costs for both the warehouse and the retailers is themain contribution of this paper towards the research field of divergent
two-echelon inventory models. The mathematical model is analyticallysolved and then validated through simulation. Finally, validity of themodel is evaluated by comparing the mathematical and simulation
results which indicate the contribution of "percent of warehousedemand with lost sales" and "percent of each retailers' demand with lost
sales" parameters affect the total costs of the system.

Decision Trees to Model the Impact of Disruption andRecovery in Supply Chain Networks

Loganathan Ponnambalam1, Leow Wenbin2, Xiuju Fu1, Xiao Feng Yin1,
Zhaoxia Wang1, Rick Siow Mong Goh1
1
Institute of High Performance Computing, Singapore
2
National University of Singapore, Singapore

Increase in the frequency of disruptions in the recent times and theirimpact have increased the attention in supply chain disruption
management research. The objective of this paper is to understand as tohow a disruption might affect the supply chain network - depending
upon the network structure, the node that is disrupted, the disruption
in production capacity of the disrupted node and the period of the
disruption - via decision trees. To this end, we first developed a 5-tieragent-based supply chain model and then simulated it for various
what-if disruptive scenarios for 3 different network structures (80 trials
for each network). Decision trees were then developed to model theimpact due to varying degrees of disruption, and the recovery timefrom these disruptions. Visual outputs of the developed decision trees
are presented to better interpret the rules. Supply chain managers canuse the approach presented in this work to generate rules that can aid
their mitigation planning during future disruptions.

Research on the Formation of Supply Chain Carbon
Emission Reduction Union Based on Voluntary Emission
Reduction
Yan Peng, Zhuoran Shi
Tianjin University, China

In China, Voluntary Emission Reduction market has been developed
and commonly adopted. Enterprise with high energy consumption andhigh carbon emission can sell emission reductions in VER market after
their emission reduction measures. And the promotion of consumer
demand caused by low carbon products is considered. This paper we
discussed an industry structure of monopoly supplier with highemission and multi-oligarchs manufacturers, with supplier leading
emission reduction cooperation. This research shows that supplier bymeans of deciding unit product reduction rate, and the proportion of
reduction investment, and adopting price-discount contract can makeall the manufacturers participate in cooperation union and achieve
supply chain Pareto improvement.

61

Session
Date
Time
Room
ChairsSC 5 Supply Chain Management (5)12/12/2013
13:30 - 15:00
Ubonchard
Tony Halim, Jenny Backstrand

Using Fuzzy Inference Systems to Improve Purchasing
Process-Related Decisions
Javier Puente, Isabel Fernandez, Nazario García, Paolo Priore
University of Oviedo, Spain

Supplier evaluation and selection processes have strategic aspects andimplications in the long run for a company. However a literature review
surfaces a high number of variables involved in such processes and thevariety of different methodologies to be used. In order to overcome thedrawbacks present in some methodologies we propose a fuzzy decisionsystem that considers the most significant variables and allows toevaluate and compare new suppliers to historical ones as well as to
update the list of the certified ones. This model not only strengthens theoperating of the model but also eases the understanding of theprocess-related knowledge. A survey test is used for validation
purposes.

A Comparison of Forecasting Models using Multiple
Regression and Artificial Neural Networks for the Supply
and Demand of Thai Ethanol
Rojanee Homchalee, Weerapat Sessomboon
Khon Kaen University, Thailand

This paper presented three types of models for forecasting the supply
and demand of Thai ethanol, so called MR, ANN, and MR-ANN
models. MR models were formulated using stepwise multiple
regression analysis, which were statistically significant. However, MR
models provided low performance in forecasting. ANN models wereconstructed using artificial neural networks, which provided
satisfactory results. Moreover, the third type of models was anintegration of multiple regression analysis and artificial neuralnetworks. In MR-ANN models, influential factors from stepwise
multiple regression, were taken as inputs for artificial neural networks.
The integrated models provided a fair results comparing to the first two
types of models. In summary, ANN models provided the lowest MAPE
and the highest R2 indicating that the models were the mostappropriate among the three types of models. ANN models are
therefore recommended to forecast the supply and demand of Thai
ethanol.

Reliability-based Decision Analysis for Ready Mixed
Concrete Supply Chain Using Stochastic Method
Jui-Sheng Chou, Citra Ongkowijoyo
National Taiwan University of Science and Technology, Taiwan

A Review of Data Development Analysis (DEA)
Applications in Supply Chain Management Research
Woramol Chaowarat1, Pairach Piboonrugnroj2, Jianming Shi3
1
Muroran Institute of Technology, Japan
2
Chiang Mai University, Thailand
3
Tokyo University of Science, JapanThe objective of this paper is to review the application of Data
Envelopment Analysis (DEA) in Supply Chain Management (SCM)
research including different perspectives and research topics. In thisreview, academic databases used were ScienceDirect, Scopus andGoogle Scholar. The later was included to identify unpublished studies,conference proceedings and other types of unpublished studies.
Practical review criteria is used for the inclusion or exclusion of thepertinent literature. In total 32 publications were found and analysed inthis paper. We found that even though both DEA and SCM were
established as a field of study for a long time but there is the only a few
study that applied the DEA to SCM. Most of studies applying DEA in
SCM did not consider the whole supply chain, only some parts of thechain were analysed. Based on the findings of the review, potential
research agendas were developed.

3PL Selection: A Multi-criteria Decision Making Approach
Ankit Bansal, Pravin Kumar, Siddhant Issar
Delhi Technological University, India

This paper presents a fuzzy based approach for 3PL (Third Party
Logistics) selection. A multi criteria decision making (MCDM) is usedfor 3PL evaluation. The MCDM proposal for 3PL evaluation
incorporates the decisions of multiple decision makers belonging to the
Performance Evaluation Team (PET) constituted by a buyer company.
The selection is based on overall score obtained by the 3PL. The fuzzy
logic helps in incorporating the vagueness in decision making andenhances the reliability and credibleness of the process. An illustrative
case is used to demonstrate the methodology. It may prove to be usefulfor a buyer firm for 3PL selection.

A Bilevel Model for Transportation Service Sharing in
Supply Hub in Industrial Park (SHIP)
Xuan Qiu, Gangyan Xu, George Huang
The University of Hong Kong, Hong Kong SAR

Supply Hub in Industrial Park (SHIP) can provide transportation
service sharing by dispatching a vehicle to circulate multiple
manufacturers to cover their delivery requirements. This paper
discusses how Supply Hub in Industrial Park (SHIP) andmanufacturers interact to optimize their decisions on transportation
pricing and milk-run cycle time, and the delivery schedules of raw
materials. This problem is modeled as a bilevel program with the SHIP
as the leader and manufacturers as followers. A numerical study isconducted to examine the influence of major parameters.

The process of delivering ready-mix concrete (RMC) to construction
projects is a critical supply chain activity. This study models decisionaiding method to assess RMC unloading type involving multiple
stakeholders and evaluation criteria. The uncertainty of criteria weights
set by expert judgment can be simulated in random ways within aprioritization matrix. The ranking is performed by grey relational grade
systems based on individual preference. Using the illustrative example
from an engineering corporation, the case study demonstrates thepracticability of the proposed method.

62

62

Session
Date
Time
Room
ChairsSC 6 Supply Chain Management (6)12/12/2013
15:30 - 17:30
Ubonchard
Supachart Iamratanakul

A Hierarchical Demand-driven Production Planning andControl Framework for the FMCG Industry: An SAP-based
Approach
Poorya Farahani1, Renzo Akkerman2, Joerg Wilke1
1
SAP Deutschland AG & Co. KG., Germany
2
Technische Universität München, Germany

This paper presents a hierarchical demand-driven planning framework
for the fast-moving consumer goods industry. We develop a planning
methodology that is more adaptive to changing customer demand than
the typical pull-based planning methods while it reduces inventories
compared to the typical push-based planning methods. In an industry
where forecast accuracy is often poor, our framework can help reduceinventory costs and avoid product returns and waste. We illustrate
benefits of the developed framework in a real-world case study.

On Development of Supplier Segmentation Ontology Using
Latent Semantic Analysis for Supplier Knowledge
Management in Supply Chain
Anirban Kundu, Vipul Jain
Indian Institute of Technology Delhi, India

The trio emerging technology- cloud computing, semantic web andmulti-agent systems - has been pivotal in catalyzing the paradigm shift
in Information Technology (IT). Despite Enterprise Resource Planning,
Supplier Relationship Management systems, and other solutions;current IT systems are unable to extract and share knowledge from text
on the web without human intervention. This has made therestructuring of information sharing technique over the supply chain
network to be imperative. We have addressed this problem bydeveloping Supplier Segmentation Ontology. We have extracted
knowledge from literature on Behavioral Operations in supply chain(from 1934 to 2013) using Latent Semantic Analysis (LSA) to build
classes, subclasses and properties of this Ontology. Approximately
11000 articles (title and abstract) from a list of reputed journals (fromIEEEXplore, science direct, and web of knowledge) are considered in
LSA. The future scope is to develop Semantic web to enhance supplierknowledge in a supply chain.

The Merging of MPS and Order Acceptance in a
Semi-Order-Driven Industry: A Case Study of the Parasol
Industry

Remanufacturing Intermittent Demand Forecast: A Critical
Assessment

The main purpose of this research is to demonstrate a newly createdparadigm for improving production planning in semi-order-driven
industries. The research results provide a clear explanation of theassociated planning tasks, the order acceptance and the masterproduction scheduling because their dynamic interactions are essential.
Based on an analysis of decision situations among a number ofsemi-MTO-driven planning settings, we provide a framework
consisting of separate interlinked quantitative models for orderacceptance and master production scheduling using ATP and CTP
while considering the contribution of the modeling and evaluation ofboth situations in a dynamic setting. Our approach is evaluated througha simulative analysis using empirical data from the parasol industry on
web-based ERP using the Linux operation system.

In the remanufacturing industry, customer demands and productreturns always display irregular intermittent patterns. It is very difficult
to accurately forecast such customer demands and product returns.
This paper conducts a comparative assessment of the forecasts derived
by various methods, and evaluates the robustness of forecasting
methodology through the demand data from a remanufacturing
company. The results show the econometric methods are more accurate
than the classic methods in terms of the mean squared error (MSE).

Watcharee Wattanapornprom, Tieke Li
University of Science and Technology Beijing, China

Information Security Risk Assessment in SCM

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

In today's business environment, information plays a vital role insupply chain operations. The performance of any enterprise has
considerable dependence on the complex information flow across theorganization and its network of business partners - both upstream anddownstream. This paper discusses some issues related to information
security risks in supply chains and puts forward a methodology for theassessment of information security risk.

63

Prerna Mishra1, Xue-Ming Yuan2, Guangbin Huang1, Laura Xiao Xia Xu2
1
Nanyang Technological University, Singapore
2Singapore Institute of Manufacturing Technology, Singapore

Sustainable Logistics Systems: A Framework and Case Study
Sooksiri Wichaisri, A. Sopadang
Chiang Mai University, Thailand

The goal of a sustainable logistics system is to improve profitability andlong-term environmental impacts. Sustainable logistics systems
consider the three perspectives of logistics systems, comprising the
economic, environmental, and social approaches. This paper presents aframework for a sustainable logistics system that takes the threeperspectives into account alongside sixteen sub-items. The resulting
framework offers a basic means of analyzing inputs and outputs, which
is applied to a case study.

63

Session
Date
Time
Room
ChairsQC 2 Quality Control & Management (2)12/12/2013
09:00 - 10:30
JamjureeChen-ju Lin, Ayon Chakraborty

Use of Engineering Robust Design Approach to Improve theSurface Quality of Pre-cast Concrete Elements: An
Experimental Approach
Samindi Samarakoon, R.M. Chandima Ratnayake
University of Stavanger, Norway

Pre-cast concrete components are commonly used for columns, beams,
floors, walls and other structural elements in buildings. In general,
several quality control assessments must be performed during the
production of pre-cast concrete elements. Further, the quality of any
cast product depends on material selection, equipment used andworkmanship. The quality of surface finish is one feature which gives
an immediate visual impact. In order to minimize life cycle costing forthe structure, it is vital to have durable material and formed surfaces
with few surface detects (i.e. honeycombing, air void surfaces, etc.).
Surfaces of acceptable quality and accuracy are difficult to achieve anddepend on functional and aesthetic requirements. However, the end
user of pre-cast elements expects a high quality surface finish withminimum defects. It is a great challenge to reduce the occurrence ofsuch surface defects during the production of the elements. This
manuscript identifies factors affecting the surface finish of pre-castelements. It also describes the possibility of using an engineering robust
design approach to improve the surface finish of pre-cast elements andexplains the experimentation approach.

Reducing Defects and Achieving Business Profitability using
Innovative and Lean Thinking
Amol Lanke, Behzad GhodratiLuleå University of Technology, Sweden

TRIZ can be considered as a tool of innovative problem solving. In
manufacturing domain where quick solution for problem has be
developed, methods such as DMAIC, QC story, 8D might take long time
to implement and give benefits. TRIZ can overcome this problem withchannelized thinking. The case study of this research which was
conducted in magnet manufacturing shows that with use of innovative
thinking using TRIZ an organization could achieve the quality of
product without sacrificing business goals. Cost of quality and cost of
manufacturing were both balanced with simple solution to the
production problems. Simple innovations lead to increased output
capacity and reduction of defects. This contributed to optimize
available resources i.e. Achieving LEAN and offer additional product.
This case study holds a prime example of TRIZ and how amanufacturing organization can benefit using such a new technique.

A Computational Geometric Approach For A Novel
Multivariate Process Capability Index
Birajashis Pattnaik1, Sushanta Tripathy2
1
Chandigarh Engineering College, India
2
Kalinga Institute of Industrial Technology, India

Process capability indices are useful tools, which provide common
quantitative measures on manufacturing capability and production
quality. The existing Multivariate Process Capability indices, MC_pm ,MCV , MC_f & [ C_pM,PV, LI ] are proposed by different authors fordifferent conditions and situations. Many of the above multivariate
process capability indices are based on the ratios of two areas orvolumes for bivariate or in multivariate domain respectively. All above
proposed indices assume the process to be normal and there by theindices are expressed in the form of ratios of areas of two ellipses orvolume of two ellipsoids. When the process does not follow normal
distribution the estimation of the index is difficult as the shape of thedata distribution will be not known. The proposed MC_svdd index
uses computational geometry and find out the convex hull of theprocess data to find the volume. Support Vector Data description helps
to find the outliers.

64

Assessing SMEs Batik Readiness for SNI Adoption (CaseStudy SMEs Solo and Yogyakarta)
Aries Susanty, Dyah Ika Rinawati, Bambang Purwanggono, Diana
Puspitasari, Meylani
University of Diponegoro, Indonesia

The standards adoption gives two types of benefit, i.e. tangible andintangible ones. Related to the adoption of standard, this study
proposed framework for assessing the SMEs readiness on SNI adoption
which is composed of four critical factors, i.e. perceived national
readiness (macro level), perceived industry readiness (meso level),
perceived organizational readiness (micro level), and perceived
environmental pressure. This study uses an AHP analysis for assigned
importance weight of each critical factor and sub- factors in thatframework and Likert Scale for measuring each critical sub factor. Then,a total 12 SMEs Batik (6 SMEs from Solo and 6 SMEs from Yogyakarta)
participated in the pilot test based on the proposed framework. The
result of the study indicated that SMEs Batik has a different level ofreadiness for SNI adoption. SMEs Batik in Solo more ready than SMEs
Batik in Yogyakarta. Compare with small size firms, medium size firms
tend to more ready for SNI adoption.

PHM for Complex Mining and Metallurgy Equipment
Multi-state System Based Optimal Multivariate Bayesian
Model
Jianjun Wu, Shilang Wu, Xiongxiong You
Jiangxi University of Science and Technology, China

A new insight into PHM (Prognostic and Health Management) forcomplex mining and metallurgy equipment multi-state system based
optimal multivariate bayesian model was studied. With an increasing
demand in industry in recent years, multi-state system often subject tomultiple bottlenecks such as reliability, availability, maintenance, safety,
production planning lots, delivering requirement and so on, thus cause
PHM theory for complex multi-state system has become an emerging
research topic in both industry and academia. This paper is focused on
the optimal multivariate bayesian modeling and developing new PHM
methodology for complex mining and metallurgy equipment
multi-state system. The method incorporates multivariate bayesianmodel technique to address key challenges and critical issues in
exploring new PHM technology for complex mining and metallurgy
equipment multi-state system. An illustrative example from a jaw
crusher equipment shows this approach can be used to improve PHM’s
performance in terms of the availability, reliability and maintainabilityof the complex mining and metallurgy equipment multi-state system aswell as lower false alarm rate and cost.

Composite Practices to Improve Sustainability: A Frameworkand Evidence from Chinese Auto-parts Industry
Zhen Wang, Nachiappan Subramanian, Muhammad Abdulrahman, Chang
Liu
The University of Nottingham, China

Sustainable development is increasingly becoming the main objective toorganisations. Companies within Chinese manufacturing industries are
eager to adopt sustainable strategy through lean, green, and socially
responsible practices. This research was carried out to study theeffectiveness of various practices that improve the sustainability
performance and embraces economic, environmental, and social
dimensions. An explanatory case study was conducted in two local
Chinese auto-parts companies. Based on literature review and the casestudy, a framework combining sustainability practices and measures
was proposed. Finally, unpopular practices that are effective wereidentified as significant practice and recommended for business
operations.

64Session
Date
Time
Room
Chairs

HS 1 Healthcare Systems & Management (1)12/12/2013
11:00 - 12:30
JamjureeJose Machado

Stand-Alone Electronic Health Record

Julio Duarte1, Gabriel Pontes2, Maria Salazar3, Manuel Santos1, Antonio
Abelha1, Jose Machado1
1
University of Minho, Portugal
2
Association of Municipalities of Vale do Ave, Portugal
3
Centro Hospitalar do Porto, Portugal

Hospitals have made an effort to ensure the permanent availability of
data, with the reliance on the information and scalability at the lowest
price. Quality and information access speed are guaranteed. On theother hand, information systems become core systems andprogressively clinical paper based records has been dematerialized. The
single access to information about patients and electronic media, evenin critical situations, are now a reality. Despite the efforts referred toabove, there remains the possibility of difficulty in accessing
information in case of network or electricity failures, or in the event of a
local unpredictable disaster. In this paper, we present an extension to
the Electronic Health Record, called stand-alone module, to ensure thehospital’s access to patient’s minimal clinical record in a breakdown
scenario.

Analysis of Cross-Platform Development Frameworks for a
Smartphone Pediatric Application
Rui Oliveira1, Gabriel Pontes2, Jose Machado1, Antonio Abelha11University of Minho, Portugal
2
Association of Municipalities of Vale do Ave, Portugal

The number of smartphone users is growing rapidly, including among
healthcare professionals [1]. Together with a pediatrician, it was
identified the necessity of a mobile tool to support clinical practice anddecision. However, in order to reach the majority smartphone users it isnecessary to develop applications for multiple platforms. In this article
it is done an analysis of the smartphone market-share, a study of someof the most popular smartphone cross-platform development
frameworks and finally selected the best framework to develop apediatric application.

Quality Improvement of General Out-patient Clinics inHong Kong
C. M. Chan, T. C. Wong
City University of Hong Kong, Hong Kong SAR

In Hong Kong, general out-patient clinics (GOPCs) which aim toprovide primary healthcare service to all residents at an affordable cost
plays a significant role in the healthcare system. Recently, the problem
of long waiting time in GOPCs has become significant due to highvolume of patients and the shortage of medical staff. If this problem
cannot be addressed and solved properly, it would deteriorate theservice quality. In this paper, the problem of long waiting time in thetarget GOPC is systematically investigated. Based on the analysis
results, some possible remedies are proposed to resolve the problem oflong waiting time, and therefore help improve the service quality as
well as the patients’ satisfaction.

65

Resource Allocation in Healthcare: Implications of Scarce
Resources and Temporal Constraints
Juha Puustjärvi1, Leena Puustjärvi2
1
University of Helsinki, Finland
2
The Pharmacy of Kaivopuisto, Finland

Medical community has taken initial steps towards the computerizationof clinical knowledge contained in clinical guidelines. However, often
scarcity of clinical resources makes it impossible to carry out clinicalguidelines, and the scarcity of resources may delay medical actions
from a couple of days to months. A problem here is how to allocate
resources among individual patients. In order to automate resource
allocation we have extended computer-interpretable modelinglanguages by modeling primitives that can be used to express whether
an action is more or less time critical. In addition, we have extended theexpression power of clinical guideline modeling language bytransactional features that enable that all required clinical resources fora clinical process can be reserved in an atomic way. This model also
minimizes the efforts required for undoing the effects of the canceled
clinical reservations.

Relationship between Polymeric Foam Characteristics andProperties of Porous Bone Substitute Fabricated byPolymeric Foam Replication
Wassanai Wattanutchariya
Chiang Mai University, Thailand

Polymeric foam replication is one technique used to produce bone
scaffold for porous bone substitution or bone grafting in the humanbody. This method provides scaffolds similar to trabecular bone, as wellas producing a controllable pore size and porosity scaffold. Preliminary
studies illustrated that the characteristics of polymeric foam such as
pore size and porosity could affect both physical and mechanicalproperties of the resulting scaffold. Therefore, the objective of this study
is to evaluate the relationship of polymeric foam characteristics with theproperties of the porous bone scaffold. In this study, 5 different types ofpolymeric foam were evaluated, and the phosphate glass was
implemented as the biomaterial slurry. Scaffold forming took place byimmersing the foam types into the slurry and then sintering them at 750ºC for 3 hours. Porosity and compression testings were then used toanalyze the physical and mechanical properties of the specimens.
Results indicate that the optimal condition of both physical andmechanical properties was found when the polymeric foam with thehighest pore density (99.5%) and approximately 300 µm pore size range
was used. However, the highest compression strength obtained was
only 3.48 MPa, which is at the lower range of the trabecular bone’s
mechanical properties. Future study will therefore focus on producing
stronger porous bone scaffold for porous bone substitution.

A Fuzzy Particle Swarm Optimization Approach for Task
Assignment in Home Health Care
Michael Mutingi, Charles Mbohwa
University of Johannesburg, South Africa

Task assignment to healthcare staff in home care services is a complex
problem, motivated by the ever increasing home-based care needs. The
design of high quality task schedules is critical for maintaining or
improving worker moral, job satisfaction, service efficiency, service
quality, and competitiveness over the long term. One major objective for
improving high quality task schedules is to ensure that the assigned
workloads are balanced and are fair among the care givers. Therefore,
the desired goal is to reduce workload imbalance as much as possible,
while avoiding long distance travels to the patients and violation of thetime windows specified by the patients. However, in practice, thedesired goal is often subjective since it involves human entities, that is,the care givers, the management, and the patients. The goal tends to be
imprecise in the real world. The present paper develops a fuzzy particle
swarm optimization (FPSO) approach for task assignment in homehealthcare services. The FPSO approach uses fuzzy evaluation based on
fuzzy set theory. Results from illustrative examples show that theapproach is promising.

65Session
Date
Time
Room
Chairs

HS 2 Healthcare Systems & Management (2)12/12/2013
13:30 - 15:00
JamjureeJuha Puustjarvi

Extending a Patient Monitoring System with Identificationand Localisation
Fernando Marins, Rui Rodrigues, Carlos Filipe Portela, Manuel Santos,
Antonio Abelha, Jose Machado
University of Minho, Portugal

Intensive Care Units (ICUs) are a good environment for the applicationof intelligent systems in the healthcare area because it requires
diagnosing, monitoring, and treatment of patients with critical illness.
An intelligent decision support system, named INTCare, wasdeveloped and tested in CHP, a hospital center in Oporto. The need todetect the presence or absence of the patient in room, in order to stop
the collection of redundant data concerning about the patient vital
status led to the development of an RFID localisation and monitoring
system - PaLMS, able to uniquely and unambiguously identify a patientand perceive its presence in room, making the process of data collection
and alert event more accurate. The solution was the implementation of
an intelligent multi-agent system that connects the Patient Management
System module, the INTCare module and the RFID equipment, using
the HL7 standard embedded in agents behaviours.

Integrating RFID with Blood Supply Chain: A Technical andBusiness Analysis
Wei Xu1, Zhaotong Lian1, Xifan Yao2
1
University of Macau, China
2South China University of Technology, China

Motivated by the great lack of different blood types in the medical field,
this paper mainly considers the inventory management model of bloodordering when the demand fluctuates positively with time, andcompares three different inventory ordering strategies: when theinformation is not shared, each hospital department orders the blood
separately; each hospital orders uniformly and centrally and all
hospitals jointly order after adopting RFID technology. We focus theanalysis on blood inventory cost, ordering cost, RFID technology
investment cost and blood deterioration rate. The method of combining
quantitative model with qualitative analysis is adopted in this paper toresearch and analyze the inventory control problem of blood supply
chain , striving to form a relatively complete set of blood inventory
theoretical frame and theoretical model so as to provide effective
decision-making advices for the systematical management of blood.

An Intelligent Approach for Open Clinical Laboratory
Results in Intensive Care Medicine

Carlos Filipe Portela1, Manuel Santos1, Jose Machado1, Antonio Abelha1,
Ă�lvaro Silva2, Fernando Rua2
1
University of Minho, Portugal
2
Centro Hospitalar do Porto, Portugal

The process of how laboratory tests are made and the results aredelivered is very important to the decision making process in medicine.
This situation is more critical in areas like Intensive Medicine, where thedecision needs to be performed quickly and accurately. Typically, theresults are presented in a closed format (document). This format
represents a barrier for the implementation of Intelligent Decision
Support Systems that make use of laboratory results to feed predictivemodels to help the Intensive Care professionals in such criticaldecisions. In order to overcome this limitation an intelligent agent
based system has been implemented. Lab results are now collected,
processed and used in real-time in an open format contributing to theimplementation of an automatic scoring system.

66

KIDEA : An Innovative Computer Technology To Improve
Skills In Children With Intelectual Disability Using Kinect
SensorWarih Puspitasari Soesatyo, Kholifatul Ummah, Ainu Pambudi
Telkom University, Indonesia

Developing life skills in children with intellectual disability is important.
To accommodate this needed, it is necessary to provide support either
from others or through technology. KIDEA is an interactive learning
media solution to improve life skills using Kinect sensor solution thatallows users to interact with computers through a natural user interface
in the form of movement and sound. Thus, KIDEA would beappropriate to be applied to the development of the brain and nervous
suggesting motor movement in children. The KIDEA main objective isto provide media learning of fundamental life skill for children withintellectual disability. With the method of play therapy, it’s easier tounderstand for children with intellectual disability and made them feel
happy doing learning through games. In addition, KIDEA is also
applied in the solution to improve parent and child relation. With thisapplication, parents can make the learning at home independently andconsistently.

A Risk-adjusted Multi-attribute Cumulative Sum Control
Scheme in Health-care Systems
Sayyedeh Nastaran Shojaei, S. T. A. Niaki
Sharif University of Technology, Iran

Hospitals increasingly use control charts to monitor clinical processes
and their outcomes. In medical context, control charts should havestable performance when different patients with different levels of riskenter the hospital. In order to monitor multi-attribute medical processes,
we propose a new control chart with entities having different levels of
risk. First, risk-adjusted multivariate cumulative sum control chart(RA-MCUSUM) is developed. Then, simulation experiences are
performed to demonstrate the application and to evaluate its
performance in terms of in-control average run length (ARL0) stability
with the one of a standard MCUSUM chart. The results show that while
the standard MCUSUM shows a sensitive performance, the
RA-MCUSM has a robust performance when different entities withdifferent levels of risk enter the system.

Home Healthcare Staff Scheduling: A Taxonomic
State-of-the-Art Review
Michael Mutingi, Charles Mbohwa
University of Johannesburg, South Africa

Home healthcare staff scheduling has become increasingly important as
healthcare business becomes more service oriented and cost conscious.
With the ever increasing home care needs, healthcare staff shortages,
increasing world-wide pressure for improved health care, and therising healthcare costs, developing appropriate models for optimizing
home healthcare operations is imperative. Healthcare service providers
require effective decision support tools to meet customer expectations
in a cost effective manner, satisfy staff requirements such as flexible
work shifts, shift equity, individual preferences, part-time work, andmeet management goals. Various methods have been developed tosolve homecare staff scheduling problems. In this paper, we make astate-of-the-art review of the models and algorithms that have beenreported in the literature. In addition, we analyze the existing empiricalstudies, identifying the research trends and voids in home healthcare
staff scheduling. Finally, we identify essential prospective research
avenues.

66

Session
Date
Time
Room
ChairsSI 2 Service Innovation & Management (2)12/12/2013
15:30 - 17:30
JamjureeChing-Yu Lien, Marivic Manalo

Adopt-A-Community Framework
Romeo Manalo1, Marivic Manalo2
1
Manila Electric Company, Philippines
2
De La Salle University, Philippines

This paper is about a framework that would facilitate economic
progress in some of the poorest communities in the Philippines. Top
corporations operating in the country can extend their social
responsibility initiatives and at the same time get tax credits for worthy
endeavors. The idea is for big businesses to adopt communities andmake them progressive members of the nation. An adopted community
can be a town or a barrio or part of a barrio, which belongs to thepoorest areas in the country.
Adopt-A-Community Framework will eliminate or minimize some illsof the society such as unemployment, overpopulation of urban areas,
crimes, poverty, etc. The ultimate goal is to help rural folks become
productive and responsible members of the community and build theirself-worth.

Process Improvement – A Positive Deviance Approach
Ayon Chakraborty
James Cook University, Singapore

Corporate efforts to improve the bottom line traditionally focus onshortcoming and issues. A comprehensive set of analytical tools andmethodologies (e.g., Lean Management, Six Sigma) have beendeveloped and are deployed in attempts to fix identified problems).
However, little guidance is available on how to actually come up withimproved organisational and process designs. Organisations tend to
rely on approaches such as brainstorming that do not lead to consistentand reliable outcomes. It is proposed to benefit from conducting a
dedicated study on internal sources for business improvement. Thisso-called positive deviance approach utilises internal best practices andconverts successful, but hidden best practices into widely deployed,
corporate practices. The paper develops an approach to identify
exceptional performers and map their behaviors and activities which
made them successful. The objective was to identify practical quick
wins which can be implemented through existing account auditing
activities.

The Conceptual Model of Negative Experiences Regarding
the Facilities at Family Trip Destinations - A Case Study ofTourism Factories
Hsin-Yen Wu1, Ching-Yu Lien2
1
Yu Da University, Taiwan
2
Minghsin University of Science and Technology, Taiwan

By means of qualitative research methods, this study investigated thefactors of negative experiences at different times regarding family trip
destinations to explore the tourism experiences and the factors affecting
negative experiences among family members. This study further
probed the experiences of family members generated by tourism
factories, thereby establishing a conceptual model regarding thenegative experiences of family trips.

67

Dynamic Pricing in Performance Theater Industry: An
Empirical StudyNaragain Phumchusri
Chulalongkorn University, Thailand

In recent years, revenue management (RM) have played an importantrole in driving more profitability for industries selling perishable
products with fixed amount of resources and different customers arewilling to pay a different price for each of them. While dynamic pricehas been widely used in airline and hotel industry, a smaller number of
researches explore the existence of dynamic pricing behaviors in
non-travel industry. This paper investigates effects of relevant factors
such as timing and realized demand on the performance ticket prices.
While previous empirical studies related to performance ticket prices
rely on the aggregate data and have not focused on exploring how the
price changes during the selling season, this study uses detailedtransaction sales obtained from 117 classical concert tickets, enabling
the study of dynamic pricing structures. Three different models arecompared: Ordinary Least Square, Random Effect and Fixed Effectmodels. The results indicate that Fixed Effect is the most appropriate
model as compared to others. We found that day of shows, i.e.,
Saturday shows are significantly priced higher than others. The ticketsof shows during the end of the season (during February to April) havelower prices compared to the beginning. We found timing in the selling
period has significant impact on ticket prices. In particular, ticket priceis lower when it is closer to the show date and a large amount of
discount occurs right before the show starts.

Quantifying the Service Level and Manpower Needs of Food
Courts in Singapore
Wing Tai Chung1, Xin Zhong1, Han Tong Loh2
1
National University of Singapore, Singapore
2Singapore Institute of Technology, Singapore

It is predicted that the current manual collection of crockery will
gradually be replaced by the selfreturn of used utensils in order toreduce the manpower needs in Singapore. However, no existing
methods are available to quantify service level of the cleaning staff andoptimize manpower needs for food courts in Singapore. To measure therange of service level provided by cleaners during peak hour in foodcourts in Singapore, a Service Level Quantifying (SLQ) model is
proposed in this paper by investigation of the relationship between
customers’ return rate, the seating capacity at peak hours and thegeneral efficiency of cleaning staff. Monte Carlo method was applied tofurther refine the proposed SLQ model. The results obtained via thismodel are consistent with the observations at NUS canteens as there arerare occurrences of buffer overflow at the collection points. This model
can be used by food court managers and the National Environmental
Agency of Singapore (NEA) to effectively plan and simulate manpower
needs before their on-site deployment.

IMU-WPS Hybrid Position Estimation Test-Bed
Development
Byoung-seop Kim1, Suk-yon Kang2, Jae-hoon Kim1
1
Ajou University, South Korea
2
Network Technology R&D Center, SK Telecom, South Korea

Lately, a range of applications of the LBS(Location Based Service) is
being extended to indoor position estimation. This investment is caused
by a huge expectation about the bright prospect of indoor LBS market,
including mobile advertisement. Indoor position estimation is now
being studied with various methods. Among them, the central field ofindoor estimation method by using smart-mobile sensors. However,this method has its limitation within an urban environment because of
sensing obstructions. To overcome the limitation of the IMU-based
method, we determined the need of a combination of the IMU-based
method, an infra-based estimation method and a hybrid design. So, wewill use hybrid IMU-based method and a wireless infra method.(WPS)

67

Session
Date
Time
Room
ChairsSM 2 Systems Modeling & Simulation (2)12/12/2013
09:00 - 10:30
Sakthong
Kun-Ming Yu, Ling Cen

Detecting Hierarchical Community Structures in Social
Networks Using Integer Linear Programming

Chun-Cheng Lin1, Jia-Rong Kang1, Jyun-Yu Chen1, Chien-Liang Chen2
1
National Chiao Tung University, Taiwan
2
Aletheia University, Taiwan

Detection of hierarchical community structures is one of the most
crucial tasks for analyzing complicated social networks. In ahierarchical community structure, the super node at a higher level
represents a nested structure so that the relationship of subcommunities
in a community can be observed. Most of the previous works focusedon designing metaheuristics for detecting hierarchical community
structures, which may be computationally efficient, but cannot always
guarantee the community partition optimality. Hence, this paper
proposes an integer linear programming model for detecting thehierarchical community structure in social networks, which takes into
account the number of levels and the limit of community size of eachlevel. Our experimental results show that our model can find areasonable hierarchical community structure, where the interaction
between communities at different levels can be comprehended moreclearly.

Simulation Modeling Analysis to Support Decision Makingof Cassava Harvesting in Thailand

Warut Pannakkong1, Jirachai Buddhakulsomsiri1, Parthana Parthanadee2
1
Sirindhorn International Institute of Technology, Thammasat University, Thailand
2
Kasetsart University, Thailand

This paper involves a simulation modeling of cassava harvesting andselling practice. Cassava farmers mostly make selling decisions basedon experience. These decisions include harvesting cycles, which varyfrom eight months to 18 months; and selling practices, which are sellingbased on weight and selling based on percentage of starch. Making bothdecisions that leads to a maximal profit is difficult when several factors,
such as cassava market price, cassava yield (amount and percent starch),and market conditions, that impact the decision outcome containvariability. Simulation modeling is an effective tool for decision analysis
under such uncertainties. The objective of this study is to develop asimulation model that can provide guideline for making these decisions.
A model verification is conducted and the results show that the model
logics are correctly constructed and that the model can be used toevaluate different harvesting cycles and selling practices for further
analysis.

Optimum Design and Analysis of Riser for Sand Casting

Chandrashekhar Choudhari1, Balkrishna Eknath Narkhede1, S K Mahajan2
1
Veermata Jijabai Technological Institute (VJTI), India
2
Directorate of Technical Education, Maharashtra State, India

Solidification of metals continues to be a phenomenon of great interestto physicists, metallurgists, casting engineers and software developers.
It is a non-linear transient phenomenon, posing a challenge in terms ofmodelling and analysis. This paper attempts to study heat flow within
the casting, as well as from the casting to the mould, and finally obtains
the temperature history of all points inside the casting. The mostimportant instant of time is when the hottest region inside the casting issolidifying. ANSYS software has been used to obtain the last solidifying
region in the casting process by performing Transient Thermal Analysis.
Location of the hot spot predicted by software simulation showed good
agreement with the experimental trial. It was also observed that thesimulation of casting helps in obtaining optimum design of riser.

A SIS Epidemic Model with Impulsive Vaccination
Manuel de la Sen1, Santiago Alonso-Quesada1, Asier Ibeas2
1
University of Basque Country, Spain
2
Autonomous University of Barcelona, Spain

This paper studies a time-varying SIS (i.e. containing susceptible andinfected populations) propagation disease model exhibiting a nonlinear
incidence rate and impulsive eventual culling of both populations sothat the individuals recover with no immunity to the disease. The
nonlinear incidence rate consists of two time-varying additive terms
proportional to the susceptible and infected populations normalized tothe total population.

Representing Ontologies in Multiple Domain Matrices

Daniel Kasperek, Ragna Steenweg, Sebastian Maisenbacher, Kathrin Jasmin
Füller, Helmut Krcmar, Maik Maurer
Technische Universität München, Germany

Structural Complexity Management (StCM) is an approach to handle
complex systems. The amount of time spent for the modeling of thenecessary Multiple Domain Matrices (MDM) is high due to extensive
information acquisition procedures such as individual workshops. The
use of data which is already available within companies is an approachto shorten the information acquisition phase. Due to their broad use inindustry for knowledge capture, ontologies may serve as a basis for
MDM modeling and thereby for complexity management. This paper
presents a method for the representation of ontologies using the Web
Ontology Language (OWL) syntax in MDMs. A tool for the automatedtransformation of the OWL code into code usable for existing MDM
software solutions is introduced to facilitate the transformation of
ontologies into MDMs. This is followed by an exemplary application of
the transformation method implemented in the tool.

Development of an Assessment Procedure for the
Problem-Specific Selection of Most Suitable Modeling
Methods for Complex Systems

Daniel Kasperek, Konrad Peters, Sebastian Maisenbacher, Maik Maurer
Technische Universität München, Germany

Currently there are hundreds of known modeling methods that are
applied to countless problems in engineering. A purposeful selection of
the right modeling methods is crucial for successful problem solving.
However, adequate procedures for the problem-specific selection ofmost suitable modeling methods are missing. The selection of
suboptimal modeling methods often leads to increasing costs,
development time, and an inferior design of products. Based on areview on existing procedures, a concept for an assessment procedure
for the problem-specific selection of most suitable modeling methods isdeveloped and implemented. Main steps for the procedure are
identified, the concept of classification-domain-trees is developed and acustomized vector space approach is used for the selection of the mostsuitable modeling methods. The evaluation study shows that thedeveloped concept is applicable and that appropriate problem-specificmodeling methods can be reliably identified by using the implemented
concept.

68

68

Session
Date
Time
Room
ChairsQC 3 Quality Control & Management (3)12/12/2013
11:00 - 12:30
Sakthong
Jianjun Wu, Shinji Inoue

A New Method for Metrology Monitor Charts

Jinyi Ma, Kaily Cao, Weiting Kary Chien
Semiconductor Manufacturing International Corporation, China

In this paper, a new method to set the spec (specification) limits formeasurement data from metrology tools is introduced. Combining theaccuracy spec guaranteed by metrology vendors, the metrology tool’s
actual performance, and the inline measurement requirement according
to MSA (Measurement System Analysis) spirit, we’ve not only studied
the proper method but also standardized the control flow to define thespec limits. Through such categorization and characterization, we canidentify different situations to set the proper spec limits. This method
can be applied as one of the release criteria for new metrology tools at
the certification stage, and be further applied as one of the routine
review flow for tool performance checking.

Critical Practices in TQM Human Resources Development

Masayoshi Ushikubo1, Hisato Tashiro2, Nobuzumi Fujii1, Kazuya Nakajima1,
Ichiro Sakata2
1
Sanden Corporation, Japan
2
The University of Tokyo, Japan

Abstract â€“ Total Quality Management (TQM) is a series oforganizational actions. In this paper, we analyze the critical practices in
TQM leadership development of a global manufacturing company. We
surveyed 142 departmental managers with self-evaluationquestionnaire on leadership development and analyzed the data withfactor analysis and an Automatic Interaction Detection (AID) method tofind critical behavioral emphasis. TQM leadership with vision, highaspiration, and scientific quality control made difference for effective
leadership development.
Keywords - Total Quality Management (TQM), Human Resources
Development, Automatic Interaction Detection (AID), Scientific Quality
Control, Visionary Leadership

An Enhancement for Single Sampling Plan Method
Randy Kang, Lisa Yu, Weiting Kary Chien
Semiconductor Manufacturing International Corporation, China

Acceptance sampling has been widely used as a quality control
technique in industry. A standard single sampling plan consists of 3
switchable inspection plans: Tightened, Normal and Reduced [1]. It
means the 3 inspection schemes can be switched from one to anotherbased on predetermined successive products’ quality. Theoretically,
higher quality of successive lots or batches has high probability ofacceptance, and vice versa, lower quality of products will suffer fromhigh reject ratio. However, how about the switch rule works? How toadjust the switch ruleto meet requirements of manufacturing and cost?
In this paper, we simulate the acceptance probability with different
class of defects or defectives in a standard single sampling plan using aself-developed program. And using this program, we investigate theactual inspection cost and both producers’ and consumers’ risk with avariety of switch rule. An optimized single sampling plan is proposed
based on the results of design of experiment (DOE). The sampling planis more economic and effective to manufactories.

69

The Quality Control Application for Abnormal Raw Material
Early Detection
Violet Shangguan, July Shui, Kevin Chang
Semiconductor Manufacturing International Corporation, China

Raw material quality control is one of the most important subjects forfoundry manufacturing process with the advancing of semiconductor
technology into nanometer nodes. Therefore, how to effectively detect
abnormality at the early stage of raw material incoming or even at
supplier sites become one more challenge topic. The successful early
detection can reduce foundry manufacturing risk and cost. This paper
will focus on the application of quality control method on bothsuppliers and foundry. The purpose is to reduce foundry
manufacturing risk by implementing the best quality control
methodology on raw material manufacturing process at supplier site
and the early detection of nonconformance in raw material incoming
inspection stage at foundry site

Total Productive Maintenance Strategy in a Semiconductor
Manufacturer: A Case Study
Kam-Choi Ng1, Kuan Eng Chong2, Gerald Guan Gan Goh3
1
Infineon Technologies, Malaysia
2Technical University Malaysia, Malaysia
3
Multimedia University, Malaysia

The role of maintenance in manufacturing has become more crucial andimportant in today’s competitive environment. It is estimated thatmaintenance cost contributed approximately 10-30 percent of total
operation cost. In order to stay competitive, manufacturing companies
are forced to introduce production improvement programs to increase
both quality and productivity. Total productive maintenance (TPM) is awell-known and very useful methodology which allows manufacturingfirms to attain near ideal conditions with zero downtime, zero defects
and zero accident. The objective of this paper is to study theeffectiveness of TPM implementation in a multinational semiconductor
manufacturer. In this study a bottleneck process from the production
line was chosen and continuous improvements were implemented to
improve equipment effectiveness. The results achieved are very
encouraging in the reduction of equipment downtime, improvement inoverall equipment effectiveness, employee motivation and reduction in
number of accidence rate at the shop-floor.

Quality Control of Subcontractor Management in Wafer
Foundry
Wenwen He, Kelly Yang
Semiconductor Manufacturing International (Shanghai) Corp., China

Semiconductor manufacturing process is becoming more and more
complex. Therefore, many integrated circuit design houses aretransforming direct supply chain management to wafer foundry
subcontract management for backend supply lines. The service
provided by foundry is known as turnkey service. To ensure thequality of packaged product, a robust backend subcontractor quality
control system is quite important for foundry. In this article, we
introduce the establishment of the quality system, which includes thestages of subcontractor qualification, production monitoring, andperiodical review. The methodologies used in each stage are described.
The collaboration between foundry and backend subcontractor
enhances the supply chain operation. The overall quality level
meanwhile has been significantly improved.

69

Session
Date
Time
Room
ChairsPP 2 Production Planning & Control (2)12/12/2013
13:30 - 15:00
Sakthong
Tatsushi Nishi, Yuan Huang

Operational Control of Service Processes: Empirical Evidence
from the Financial Sector in Australia
Michael Leyer1, Richard Willis2, Ayon Chakraborty3, Jürgen Moormann11Frankfurt School of Finance & Management, Germany
2
Queensland University of Technology, Australia
3
James Cook University, Singapore

As customers of financial service providers not always provide therequired information on time, operational control has to be conducted.
Thus, companies have to deal with daily decisions of how to processincoming orders to perform well in terms of quality, cycle time and cost.
Due to a lack of empirical research, we start gathering evidence byidentifying the state-of-the-art in financial services companies inAustralia. The research includes ascertaining which concepts andmechanisms are used for operational control and which characteristics
influence their usage. The results reveal that operational control ismostly conducted ad-hoc as forecasts and predefined rules are rarely
used. In-depth interviews uncover opportunities to install a moreforceful operational control. However, certain criteria such asorganisational grouping of employees within the process should beconsidered as these criteria influence the effectiveness of operational
control.

Quantifying the Impact of Using Multi-function Robots on
Productivity of Rotationally Arranged Robotic Cells
Mehdi Foumani, Yousef Ibrahim, Indra Gunawan
Monash University, Australia

This paper investigates the scheduling of a rotationally arranged
robotic cell with the Multi-Function Robot (MFR). The earlier known
robotic study in this area assumed that the robot only moves the part
between machines. We lift this assumption on robot tasks and assumed
a special class of robots which is also able to perform a special operationin transit. The aim is to find a minimum cycle time for identical partproduction. Considering additive and constant travel-time, the distance
between any two machines is varying or constant based on the robot
acceleration/deceleration for incompact and compact cells. The lower
bound of the cycle time is deduced to evaluate the optimality of twopractical permutations namely uphill and downhill. It also identifies theregions where using a Multi-Function Robotic Cell (MFRC) is more
economical than a Single-Function Robotic Cell (SFRC).

Analysis of the Effects of Flexibilities on Scheduling A
Flexible Manufacturing System Using Discrete-Event
Simulation
O. A. Joseph1, R Sridharan2
1
College of Engineering Vadakara, India
2
National Institute of Technology Calicut, India

This paper focuses on a simulation-based experimental study of theeffects of routing flexibility, sequencing flexibility and part sequencing
rules on the performance of a typical Flexible Manufacturing System(FMS). Three Routing Flexibility Levels (RFLs), five Sequencing
Flexibility Levels (SFLs) and four Part Sequencing Rules (PSRs) areconsidered for detailed investigation. A discrete-event simulation
model is developed to describe the operation of the FMS. The
performance of the FMS is evaluated using measures related to flowtime and tardiness of parts. The statistical analysis of the simulation
results reveals that there is a significant interaction among RFL, SFL and
PSR for all the performance measures.

70

A State-of-the-Art Workload Control System for Customized
Industry
Yuan Huang
University of Southampton, United Kingdom

Bespoke manufacturing strategies, such as Make-To-Order, areincreasingly employed by individual companies as well as supply
chains competing on customized products/services. Uncertainties fromindividual requirements greatly increase the complexity of theoperation and production process, making planning and control
activities extremely difficult. Workload Control (WLC) is a Production
Planning and Control (PPC) approach uniquely designed forcustomized industry. However, implementation of WLC has
encountered significant difficulties due to the gap between theory andpractice. This paper describes a state-of-the-art WLC Decision Support
System (DSS) which is considered an effective enabler of WLC
application. To address the practical challenges (e.g., lack of quotation
support, unexpected incoming of workloads) noted in the literature, thesystem has been developed through a user interactive action learningand reflection environment called ‘living lab’.

Requirement Derivation for the Factory Planning in the
Automobile Industry through Strategic Scenario Generation
Egon Mueller1, Mario Münnich2, Jens Kellerbach2, Siegfried Fiebig2
1
Chemnitz University of Technology, Germany
2
Volkswagen AG, Germany

The article describes an approach for modeling a general method todeduct the factory requirements from a financial view. An aggregatedmodel of the SADT-method with five process steps is visualized at the
beginning. In addition to a short description of each process step, thearticle focuses on generation of meaningful scenarios including
automobile volume forecasts. Therefore, the essential criteria andpremises are taken into account via several influence factors. Finally, byusing the counter-current process, economical requirements on thefactory planning can be worked out in each scenario.

An Integrated Production Planning and Order Acceptance
Model with Flexible Due Dates
Tarik Aouam1, Nadjib Brahimi2
1
American University of Sharjah, United Arab Emirates
2
University of Sharjah, United Arab Emirates

A particular single stage production planning problem is considered inthis paper. The problem consists of integrating sales with production
planning decisions by allowing the production planner to choose thebest orders to accept based on their profit and the available capacity.
The resource capacity is considered in a more realistic way compared toclassical models. Based on this, three models are suggested: aproduction planning problem with back ordering which does notconsider integration of decisions, an integrated model that allows orderacceptance decisions, and finally an order acceptance model withflexible due dates on customer orders. Initially, the models are solved
using a commercial solver in order to show the effectiveness ofchoosing integration of decisions and order due date flexibility. We
show in the results how important is the latter model and we propose aheuristic to solve it. The results show that the heuristic is very
promising.

70Session
Date
Time
Room
ChairsPP 3 Production Planning & Control (3)12/12/2013
15:30 - 17:30
Sakthong
Seng Fat Wong, Michael Leyer

A Mathematical Model on an Economic Lot Scheduling
Problem with Shifting Process and Joint Material
Replenishment
Dah-Chuan Gong1, Jhin-Yong Lin1, Gary C. Lin2, Wen-Na Ma3
1
Chung Yuan Christian University, Taiwan
2
Bradley University, United States
3
Shih Chien University, Taiwan

This paper focuses on developing a mathematical model for solving the
Economic Lot Scheduling Problem (ELSP) under an imperfect (shifting)process that includes joint material replenishment, in-production
screening process, imperfect rework process, scraps and shortage. The
Common Cycle (CC) approach is applied for the problem formulation.
Although this paper only demonstrates the first step, further researchworks will be on conducting effective problem solving procedures.

Parallel-machine Scheduling with General Positional
Deterioration and Maintenance
Shijin Wang
Tongji University, China

We consider the parallel machine problem with generalized positional
deterioration effects and multiple maintenance activities to minimize
the total workload. The decision is to determine jointly the optimal
assignment of jobs on each machine, the optimal maintenancefrequencies, the optimal positions of the maintenance activities, and the
optimal job sequences on each machine. The deterioration rates of job
processing times on machines are represented by a general
non-decreasing function and the maintenance activity is not necessarily
perfect. The problem is modeled as a rectangular assignment problem
and we show that the problem can be optimally solved at most inO(n^m+4 ) time. An illustrative example is used to show thecomputational procedure.

Critical Mapping of Sustainable Index Methodologies
Marco Taisch, Jing Shao
Politecnico di Milano, Italy

This paper has derived from empirical generation methodologies ofindexes which are mainly focus on sustainability or environmental
performance and provided critical mapping for these indexes originally.
By categorizing indexes from several dimensions, we suggested ananalyzing approach as innovator for new researchers to find new
research questions and gaps. This approach is along determinants
which include categorization, constructing steps and contents analysis
of indexes. Finally, suggestions for development of future theory andresearch are offered.

71

Lagrangian Relax and Fix Heuristics for Integrated
Production Planning and Warehouse Layout Problem
Keisuke Ohga1, Tatsushi Nishi1, Guoqing Zhang2, Sarina Turner3
1
Osaka University, Japan
2
University of Windsor, Canada
3
University of Toronto, Canada

We present a real world production warehousing case, where thecompany always faces the challenges to find available space for theirproducts and to manage the items in the warehouse. We develop a
decomposition algorithm to solve a mixed integer programming
formulation of warehouse layout with capacitated lot sizing problem.
The problem with real data is a large scale instance that is beyond thecapability of optimization solvers. We propose a Lagrangian relax andfix heuristics to solve the problem efficiently. Computational results
demonstrate the effectiveness of the proposed method by comparing
the performance of the proposed method and branch and boundmethod.

The Production Planning of Pharmaceutical Production
Under Multi Variables.

Suleeporn Chaolaem1, Tuanjai Somboonwiwat2, Suksan Prombanpong2
1
Government Pharmaceutical Organization, Thailand
2
King Mongkut's University of Technology Thonburi (KMUTT), Thailand

The objective of this paper aims to optimally schedule and dispatch
production plan of pharmaceutical products. The production of thisproduct is deemed complex and must rigidly comply with regulations
such as GMP, PIC/S (Pharmaceutical Inspection Co-operation Scheme)
and so on. Thus, certain procedures such as setup and clean up whenchanging production are inevitable in order to avoid contamination on
the product. However, it is time consuming process. Therefore,scheduling of the production must also consider batch to batch change
and other constraints as well. In this paper the mathematical model isdeveloped to formulate the problem and the mixed integer linear
programming is utilized to obtain an optimal solution.

Improving The Efficiency of Ordering Policy: An
Application In a Class-A Spare Part
Chivalai Temiyasathit, Natthanun Jangsetthagul
King Mongkut's Institute of Technology Ladkrabang, Thailand

Statistical analysis of inventory data has been widely used to investigate
the behavior of demand, the order execution and the delivery data inbusiness industry. The analysis benefits the supplier in many ways. This
study focuses on statistical analysis of spare part management of Water
Purifier’s electronic modules. The challenge of this demand predictionis that the electronic modules have random failure as well as an
uncertain delivery lead time and delivery quantity. Without
implementing the ERP system, the spare part ordering policy is an
intuitive-based order. The present study investigates the suitable
forecasting method for electronic module in after-Sales service
department in Thailand. A study of probability distribution isincorporate in order to define sample probability distribution of
uncertain delivery lead time and quantity. The new ordering policy
based on a defined probability distribution is proposed to facilitate theelimination of intuitive-based ordering system, minimize the stock level,
and improve the inventory management and control strategy. The
results with real inventory data showed that our proposed policy
achieved satisfactory stock level as well as significantly reduceinventory cost while maintain a high customer service level.

71Session
Date
Time
Room
ChairsPM 2 Project Management (2)12/12/2013
09:00 - 10:30
Patumchard
Norbert Trautmann, Pawel Blaszczyk

Matrices-based Modeling of Communication within
Planning Projects
Bernd Petraus, Roman Arnold, Ralph Riedel, Egon Mueller
Chemnitz University of Technology, Germany

Within planning projects the planning of communication often is anunderestimated complexity factor. Addressing the need formethodological support this paper presents a matrices-based model
which supports the planning of communication. Basically thecommunication model aims for structuring the dependencies between
planning participants, planning tasks and planning information
respectively content, based on the essential basics of Design Structure
Matrices. It allows a differentiated communication analysis byproviding a high level of transparency, by adapting to project specifics
and, thus, by making different evaluations possible. Furthermore anovel area of application for Design Structure Matrices is introducedwith reference to the social-communicative structuring ofcommunication within the scope of the presented model.

The Identification of Limiting and Enabling Factors of theOrganization on the Development of Platform-based
Products
Wolfgang Bauer1, Fatos Elezi1, Florian Homann2, Maik Maurer1
1
Technische Universität München, Germany
2
University of St. Gallen, Switzerland

Efficient und successful development of platform-based productarchitectures requires a thorough understanding of the organizational
structure, its interaction with the product architecture and thedevelopment processes. As individual research papers in existing
literature are mostly focused on single aspects of the organizational
domain, an overview of possible influencing factors on platform-based
product development is missing. This paper addresses this gap by
thoroughly reviewing the literature to identify and categorize therelevant limitations and enablers that influence success ofplatform-based product architecture development.

Activity-based Process Model for Customer-driven ProductDevelopment
Anita Friis Sommer, Iskra Dukovska-Popovska, Kenn Steger-Jensen
Aalborg University, DenmarkDue to increased customer demands and shortened product life cycles,industrial mass producers receive an increasing amount of customer
requests. The requests have various degrees of complexity requiring
engineering changes to existing products or development of new
products depending on the nature of the request. Managing this process
is termed customer-driven Product Development (PD). In order toincrease process performance, an activity-based process model should
be utilized. However, existing process models do not consider thisspecial case of integration between collaborative PD andcustomer-initiated engineering change management. Thus, the purposeof this study is to explore customer-driven PD to develop new insights
into an increasingly relevant PD process. The paper includes anembedded case study of a large industrial mass-producer and its
customers. The paper contributes to existing research proposing aprocess model for customer-driven PD adding new knowledge to PD
research.

72

Deliberating the Triple Constraint Trade-offs as Polarities toManage – a Refreshed Perspective
C. Jurie Van Wyngaard1, Jan Harm Pretorius2, Leon Pretorius3
1
Employee Saab Grintek Defence, South Africa
2
University of Johannesburg, South Africa
3
University of Pretoria, South Africa

It has become the norm in many projects to view the traditional
trade-offs as classic problems to ‘solve’. This approach often suppresses
the creative exploitation of paradox within the triple constraint. The
principles and practices of Polarity ManagementTM introduce arefreshed perspective by supporting the ‘either/or’ problem solving
approach with the ‘both/and’ rationale, which allows the triple
constraint trade-offs to be held in respectful dialogue. Without theeffective management of the triple constraint as an interrelated system,
projects run the risk of becoming separated from purpose. This paper
undertakes to explore the dynamics of the triple constraint byconsidering their ‘mutualities’ as polarities to manage in order to bringa refreshed perspective to the time vs. cost vs. scope dilemma. An
integrated model is proposed that considers the exploitation trade-offs
as polarities to manage in an effort to sustain an optimum compromise
as a function of the anticipated project outcome.

Construction of Ecological Niche Model of Projects underManagement by Project Pattern in Enterprise
Kexin Huang
Northwestern Polytechnical University, China

How to select and combine different types of project become the key
problem of enterprise resource allocation when enterprise managementmode is oriented by Management by Projects (MBP). Project is provided
with ecological niche in enterprises. From the perspective of "ecostate"and "ecorole", this paper divides the ecological niche of the project into
environment support capability, project execution capability andproject competition capability and six corresponding dimensions. Thena qualitative ecological niche model under MBP pattern of enterprise isestablished, hoping to offer a new clue for projects selection andconfiguration under the MBP pattern of enterprise.

Scrum Integration in Stage-gate Models for Collaborative
Product Development - A Case Study of Three Industrial
Manufacturers
Anita Friis Sommer1, Andreas Slavensky2, Vivi Thuy Nguyen1, Kenn
Steger-Jensen1, Iskra Dukovska-Popovska1
1
Aalborg University, Denmark
2
AN-Group A/S, Denmark

The relevance of collaborative Product Development (PD) is rising withthe decrease of product life cycles combined with growing customer
demands. Industrial manufacturers now experience competition in the
global market where differentiation is necessary for survival. Hence, inorder to differentiate from low-cost competitors and increase PD
performance, some industrial manufacturers now seek competitive
advantage by experimenting with new ways for collaborative PD. This
includes integrating customer-focused agile process models like Scrumfrom the software industry into their existing PD models. Thus, insteadof replacing traditional stage-gate models, agile methods are currently
integrated in existing PD models generating hybrid solution forcollaborative PD. This paper includes a study of three industrial casesthat have successfully integrated Scrum into the stage-gate processmodel for collaborative PD. The paper introduces the three functional
hybrid models, including the impact on PD performance, PD roles andcustomer collaboration.

72

Session
Date
Time
Room
ChairsEE 2 Engineering Economy & Cost Analysis (2)12/12/2013
11:00 - 12:30
Patumchard
Hsiao-min Chuang, Michael Gepp

Functional Assessment for Large-scale Wind-hydrogen
Energy Integration Electricity Supply System in Taiwan
Pao-Long Chang, Chiung-Wen Hsu, Chih-Min Hsiung
Feng Chia University, Taiwan

This study constructs an application scenario of a large-scale wind
power and hydrogen energy integrated electricity supply system(LWHIESS) in Taiwan, and conducts a system functional assessment for
LWHIESS. This includes an estimation of LWHIESS’s effectiveness forincreasing the available power and reducing carbon emissions.
Assuming that in 2025, Taiwan’s wind power installed capacity would
become 3,000 MW, the results showed that after incorporating
electrolyzed hydrogen generation, hydrogen storage and fuel cell
equipment into Taiwan’s wind power system, the useable power would
be increased by 5%-7%, and carbon emissions would be decreased byaround 240,000 ton annually for the overall power supply system whenelectrolyzer efficiency, fuel cell power generation efficiency and thepower consumption ration for hydrogen generation were high. It also
showed that a power supply capacity of 200-220 MW with the installedcapacity of onshore wind turbines would be increased after renewing
them electric power.

Model for Integrated Value Engineering

Sebastian Maisenbacher, Florian G. H Behncke, Udo Lindemann
Technische Universität München, Germany

The approaches of target costing and value engineering support
product development processes in identifying target costs from acustomer perspective and in improving the value cost ratio of a product.
This research introduces the approach of Integrated Value Engineering,which combines both approaches in one model. In the Model for
Integrated Value Engineering the three levels components, functions
and requirements of a product are modeled in a matrix and target costs
from requirements and current costs of components are assigned toeach other on all three levels. This allows a holistic comparison of thecurrent costs with customer based target costs and easily highlights
potentials for cost reduction or adding value. The approach is evaluatedby an academic and an industrial case study.

Revenue and Utility Maximization under Centralized
Dynamic Spectrum Allocation

Hailing Zhu1, Andre L Nel1, Mbuyu Sumbwanyambe1, Ling Cheng2
1
University of Johannesburg, South Africa
2
University of the Witwatersrand, South Africa

In order to utilize the spectrum resource more efficiently, with thedevelopment of cognitive radio technologies, dynamic spectrum
allocation has been viewed as a promising approach to increasing
spectrum usage and efficiency. With dynamic spectrum allocation,
wireless service providers that operate in fixed spectrum bands
allocated through static allocation can solve their short-term spectrum
shortage problems. Dynamic spectrum allocation mechanisms should
be coupled with dynamic pricing schemes to achieve efficient allocation.
We model the dynamic spectrum allocation problem with a centralized
spectrum broke as a multi-stage non-cooperative dynamic game. In thisspectrum trading game, all players’ behaviors and dynamics need to betaken into consideration. Furthermore, we present an economic
framework and propose a centralized spectrum allocation mechanism
to optimize spectrum allocation. The simulation results show that thecentralized spectrum allocation mechanism with dynamic pricing
achieves dynamic spectrum allocation that is responsive to market
conditions.

73

Challenges of Performance Assessments for Engineering
Departments: Empirical Study and Further Results
Michael Gepp1, Michael Amberg1, Stefan Horn2, Thomas Schaeffler2
1
University Erlangen-Nuremberg, Germany
2
Siemens AG, Germany

This contribution extends the results of an empirical study in theGerman plant manufacturing industry by a root cause analysis.
Engineering plays a central role in the industrial value chain. Current
assessments however do not consider its multiple impact in an
adequate way. Since there is little literature about this topic - existing
publications analyze performance from a technical-functional
perspective or focus on design aspects - this study aims to evaluate
performance criteria and challenges for performance assessments. 36
experts in the domain of plant engineering have been asked in a survey
and personal interviews. Totally 13 challenges could be identified
which oppose comprehensive assessments of engineering performance.
A subsequent root cause analysis of these challenges – based on nine
expert interviews - identified management practices, friction between
technical and commercial functions in organizations and an unclear
value proposition of engineering as underlying problems.

The Optimization of Maintenance Time and Total Site Crew
for Base Transceiver Station (BTS) Maintenance Using
Reliability Centered Maintenance (RCM) and Life Cycle Cost
(LCC)
Rohmat Saedudin, Rino Andias Anugraha, Rachmad Eka
Telkom Institute of Technology, Indonesia

In a telecommunications network architecture, BTS holds a very
important role. In the event that causes disruption of BTS and BTS to be
down, it will result in loss of potential revenue and lead to loss of
consumer loyalty in the company. Hence the need for an effective
method of treatment BTS and BTS efficient so that availability can be
maintained properly.
The method used in the treatment of BTS in this study is the RCM
method (Reliability Centered Maintenance) to determine treatment
priorities of existing equipment in the BTS based on vital functions anddata destruction in order to obtain its value MTTF and MTTR, as well as
LCC method (Life Cycle Cost ) to determine the optimal number of sites
crew for treatment BTS.
By using the RCM method, the results of the determination of thecritical components based on damage data, are obtained two set of
equipment as critical components. They are generator and transmission
module BCKM. Calculation and data processing of field dataacquisition and secondary data the previous year, the value of the
MTTF BCKM module is 1109.635 hours and MTTR BCKM 6,095 hours,
while the value of the generator is 1647,373 hours MTTF and MTTR
generator is 3.6 hours. While the number of site crew required in the
BTS treatment based on the results of calculation and data processing
with the LCC method, obtained the most optimal amount based on thecost is 4 site crews.

73Session
Date
Time
Room
ChairsIP Information Processing & Engineering
12/12/2013
13:30 - 15:00
Patumchard
Antonio Grilo, Xu Zhang

Scalable Clustering with Adaptive Instance Sampling
JaeKyung Yang1, ByoungJin Yu2, MyoungJin Choi3
1
Chonbuk National University, South Korea
2
R&D Center, Miracom, INC.,, South Korea
3
Howon University, South Korea

Most of the clustering algorithms are affected by the number of
attributes and instances with respect to the computation time. Thus, thedata mining community has made efforts to enable induction of theclustering efficient. Hence, scalability is naturally a critical issue that thedata mining community faces. A method to handle this issue is to use asubset of all instances. This paper suggests an algorithm that enables toperform clustering efficiently. This is done by using nested partitions
method for solving the noisy performance problems, which arises whenusing a subset of instances and adjusting the sample rate properly ateach iteration. This Adaptive NPCLUSTER algorithm had better
similarity in small dataset and had worse similarity in large dataset
than NPCLUSTER, but it had shorter computation time than
NPCLUSTER.

Integrated Information Modeling of Engineering Digital
Prototyping for Satellite Design
Xu Zhang1, Kai Wang1, Haoqi Wang1, Zheng Xie2
1
Beijing Institute of Technology, China
2
China Academy of Space Technology, China

The design and development of aerospace product is a collaborative
multi-discipline project. The integrated and consistent information
modeling of all the information, models, documents and other productdata generated during design and development is critical to success. An
integrated information model, defined as EDPS (Engineering Digital
Prototyping for Satellite) is proposed. Aiming at modeling productinformation in system design, multi-discipline analysis and simulation,
process planning, and prototype testing, be compatible with different
data and file format, providing a consistent product semantics
information model, EDPS is defined and represented based on ontology
to promote collaboration in product development. The composition andrepresentation method of EDPS is proposed. The satellite design
process driven by EDPS is discussed as a case study.

About the Power Transfer in Linear Time-Varying Circuits

Manuel de la Sen1, Santiago Alonso-Quesada1, Aitor Garrido1, Asier Ibeas2
1
University of Basque Country, Spain
2
Autonomous University of Barcelona, Spain

A Methodology for Designing an Interoperable Industrial
Ecosystems, using the Axiomatic Design Theory
Izunildo Cabral, Pedro Espadinha-Cruz, Antonio Grilo, Antonio
Gonçalves-Coelho, Antonio Mourao
Universidade Nova de Lisboa, Portugal

This paper presents a methodology to design interoperable lean, agile,
resilient, and green industrial ecosystems based on axiomatic design.
The main objective is to develop a systematic approach to support thedetailed design of collaborative business platforms that are able todeliver high level of interoperability, as measured by the expandedbusiness interoperability quotient measurement model. To achieve thisobjective, axiomatic design is employed to develop the “ideal”
cooperation configuration by defining and aligning a set of functional
requirements necessary to establish an effective and efficient
cooperation among networked organizations. The applicability of thedeveloped methodology is tested through an application scenario of
implementing reverse logistics among an automaker focal firm and its
upstream partners, as well as some external stakeholders.

An Approach of Generative Design System: Jewelry Design
Application

Somlak Wannarumon Kielarova1, Prapasson Pradujphongphet1, Erik Bohez2
1
Naresuan University, Thailand
2
Asian Institute of Technology, Thailand

This paper proposes an approach of generative design system based onshape grammar for jewelry design applications. It aims to support
designers in exploring shapes, and as a source of inspiration. Shapetransformations in jewelry design process were studied to identify how
shapes are transformed from one state to another. The transformationsof curved outlines in a logical manner are explained through shapegrammar and shape rules. The results of this study were used todevelop a generative design system that applies transformations toprimitive elements and creates new 3D new shapes based on a finite setof shape rules defined within a shape grammar. Examples of jewelry
ring designs generated by the proposed approach are included in thepaper.

An Algorithmic Frame of Hybrid Position Estimation for a
Mobile Handset
Hyun Min Jeon1, Suk-Yon Kang2, Jae-hoon Kim3
1
Ajou University, South Korea
2
Network Technology R&D Center, South Korea
3
Industrial Engineering, South Korea

Find the location based by IMU(Inertia Motion Sensor Unit) sensor insmartphone. DigitalCompass and Acceleration Double Integral, Zero
Crossing used, Gyro and an algorithm that combines Digitalcompass
thought. Finally, Gyro, Digita Compass, Gyro + Digitalcompass App
was developed in three ways, new Algorithmic Frame.

This manuscript studies the achievement of a maximum power transferfrom source to load in electric circuits where their basic elements(resistance, inductance and capacitance) are eventually linear andtime-varying but not necessarily everywhere time-differentiable. This
last aspect is quite relevant related to the inductive part of the circuit
whose time- derivative, where it exists, plays the equivalent role of a
resistor while at potential time instants where such a time-derivative
does not exist exhibits an impulsive characterization. The powertransfer degradation is also formulated with explicit formulas
compared to the initial values of the circuitry provided that the source
remains unaltered through time.

74

74

Session
Date
Time
Room
ChairsFP Facilities Planning & Management
12/12/2013
15:30 - 17:30
Patumchard
Carman Ka Man Lee

Minimizing Port Staying Time for Container Terminal with
Position Based Handling Time

Helen Ma, Felix Chan, Nick Chung, Ben Niu
The Hong Kong Polytechnic University, Hong Kong SAR

Nowadays, maritime transport operations have become even busier.
Due to the limited physical facilities, some vessels will be transferred toother terminals for services. Transferring vessels may reduce thewaiting time, however, this induces extra transshipment cost, bad
reputation, and potential customer loss. To consider such practicalissues, a bi-objective Berth Allocation Problem (BAP) model is proposed.
Moreover, vessel priority is another practical concern. In literature, they
are divided into two streams, i) customer importance; and ii) handlingvolume. They give vessel priority by considering only one single factor,
but both factors are important. The objective of this paper is to propose
a Genetic Algorithm (GA) to minimize port staying time and transfer
rate with the consideration of vessel priority. The results show that the
proposed approach is able to obtain solutions with good performancein all the factors.

Creation of FCEV Market: A New Approach to the Emerging
Economy of Self-sustainability
Takuya Hasegawa1, Hitoshi Igarashi1, Kiminori Gemba2
1
Nissan Motor Co. Ltd, Japan
2
Ritsumeikan University, Japan

Fuel cell electric vehicles (FCEVs) are currently attracting attention as a
new form of zero-emission vehicles, just as the commercialization ofbattery electric vehicles (BEVs) is underway. In the prior 20 years,
however, FCEVs failed to be properly commercialized. In this paper, a
new approach to the emerging economy of FCEVs and a hydrogen
refueling station (HRS) network are studied.

Optimization of Facility Location Problem in Reverse
Logistics Network using Artificial Bee Colony Algorithm
Shu Zhu Zhang, Carman Ka Man Lee
The Hong Kong Polytechnic University, Hong Kong SAR

The management of used products attracts an increasing attention,
which brings out the concept of Reverse Logistics. Reverse logistics isthe reverse flow of surplus material back to the firm for reuse, repair,remanufacturing, recycling, and disposal of used products. In thisresearch, we use the Artificial Bee Colony (ABC) algorithm to solve thelocation and allocation problems of collection centers with the goal ofminimizing total logistics costs. The performance of ABC algorithm isillustrated in our numerical experiments, which prove it is efficient andvalid to handle the design of reverse logistics network. Our research
provides useful insights of adopting of ABC algorithm for the
optimization problems with multiple constrains

75

Bat Algorithm for Designing Cell Formation with aConsideration of Routing Flexibility

Wipada Parika, Wipada Seesuaysom, Srisatja Vitayasak, PupongPongcharoen
Naresuan University, Thailand

Cellular manufacturing system (CMS) is an approach that can be used
to enhance both flexibility and efficiency in small-to-medium lot
production environment. In cell formation, machines are grouped into
cells based on their contributions to manufacturing process. Flexible
routes have resulted in different machine sequences causing thechanges in the movement of parts between cells. The movements in
manufacturing shop floor lead to the efficiency of productivity relating
to costs. Cell formation problem is classified into non-deterministic
polynomial-time hard problem, of which the amount of computation
required to find solutions increases exponentially with problem size.
Solving this kind of problem by full numerical methods especially forthe large size problem can be computationally expensive. The objectivesof this paper were to describe the application of Bat Algorithm (BA) for
designing cell formation aiming to minimise inter-cell part movementwith a consideration of routing flexibility and investigate theappropriate setting of BA parameters that have an effect to the solution
quality. A cell formation designing program was coded in modular styleusing a general purpose programming language called Tcl/Tk. The
computational experiment was designed and conducted using ten
datasets, in which the number of machines in each cell is either equal or
unequal. The statistical analysis on the experimental results suggested
that the population size and the number of iterations have statistical
impact on the quality of the solutions obtained.

A Two-Stage Mathematical Model for Cross-Docking
Distribution Planning Solved by a Two-Stage Heuristic
Algorithm

S. M. Mousavi1, Ali Siadat2, Reza Tavakkoli-Moghaddam1, Behnam Vahdani1
1
University of Tehran, Iran2
Arts et Métier Paris Tech, France

Cross-docking is a logistics approach where products from a supplieror manufacturer can be moved directly to customers or retailers
without handling or storage time. In this paper, a distribution planningproblem with the cross-docking centers is taken into account. A new
two-stage mathematical model is formulated to minimize total costs inthe multi-echelon network for the crossdocking center location andvehicle route scheduling. Then, a new two-stage heuristic based on asimulated annealing (SA) algorithm is proposed as the solving
approach. The algorithm is evaluated by several test problems in small
and large sizes, and solutions are compared to traditional tabu search(TS) algorithm. The proposed heuristic effectively outperforms the TS
in the reasonable time.

Prediction on the Energy Or Power Structure Under theConstraint of Saving Energy and Carbon Emissions
Tuochen Li, Lin Qiao
Harbin Engineering University, China

With gray prediction method, this paper concludes the primary energy
consumption in future based on the trend of historical data of energy
consumption. Gray dynamic analysis method is used to sort thecorrelation between each primary energy consumption and GDP, GDP
as the reference data series and primary energy consumption as thecomparison one over the years. Referred to the correlation, the nationalenergy development plans and the carbon emissions intensity,
adjustment of energy structure should be focused on reducing coalconsumption and enhancing the substitution of power. Considering thesensitivity of energy consumption on the economy, this paper predicts
the primary energy structure and power structure under the constraintsof saving energy and carbon emissions.

75Session
Date
Time
Room
ChairsEB 2 E-Business & E-Commerce (2)12/12/2013
09:00 - 10:30
Satabud
Yi-Hui Liang, Nila Armelia Windasari

Optimizing Concurrent Configuration and Planning: A
Proposition to Reduce Computation TimePaul Pitiot1, Michel Aldanondo2, Elise Vareilles2, Thierry Coudert3, Linda
Zhang4
1
Universite Toulouse - Mines Albi, France, Metropolitan
2
University of Toulouse, France, Metropolitan
3
Universite Toulouse INP-ENIT, France, Metropolitan
4
Catholic University of Lille, FranceThis communication deals with mass customization and the associationof the product configuration task with the planning of its production
process while trying to optimize cost and cycle time. In some previous
works, we have proposed an optimization algorithm, called CFB-EA.
This communication concerns a way to improve CFB-EA for large
problems. Previous experiments have highlighted that CFB-EA is able
to find quickly a good approximation of the Pareto Front. This led us topropose to decompose the optimization in two tasks. First, a “rough”
approximation of the Pareto Front is quickly searched and proposed tothe user. Then the user indicates the area of the Pareto Front that he isinterested in. The problem is filtered and the solution space reduced. A
second optimization is launched on the focused area. Our goal is tocompare the classical single task optimization with the two tasks
proposed approach.

DYNAMOD: A Modelling Framework for Digital Businesses
based on Agent Based ModelingAneesh Zutshi, Antonio Grilo, Ricardo Jardim-Goncalves
Universidade Nova de Lisboa, Portugal

This paper introduces a Dynamic Agent Based Modelling Framework(DYNAMOD) that is designed for developing Digital Business
Simulations. The model is based on literature review of threecomplementary research areas: Business Models, Business Applicationsof Agent Based Modeling and Digital Business Characteristics. This
Framework is customisable and computationally implements key
digital business characteristics including network effects, online andoffline word of mouth, pricing strategies, amongst other features of theDigital Business Environment. DYNAMOD can be a generic frameworkfor developing a variety of forcasting and simulation models that can
provide a new computational approach to Digital Business Modelingand Analysis.

Performance Management for Inter-organization
Information Systems performance: Using the Balanced
Scorecard and the Fuzzy Analytic Hierarchy Process
Yi-Hui Liang
I-Shou University, Taiwan

Exploring E-readiness on E-commerce Adoption of SMEs:
Case Study South-East Asia
James K. C. Chen, Nila Armelia Windasari, Pai Rose
Asia University, Taiwan

This study explores information technology (IT) readiness on
E-commerce adoption of Small and Mediumsized Enterprises (SMEs) inSouth-East Asia. Some studies point out that the SME take moreadvantages of Ecommerce than large companies. However, due tolimited resource for SME, E-commerce adoption should be treated indifferent business strategy. SMEs need to consider some factors andmeasure E-readiness before adopting Ecommerce into their business.
This paper utilizes an AHP method to evaluate IT readiness priority
which critical to support the adoption of E-commerce. Using extended
Technology–Organization–Environment (TOE) framework andAsia-Pacific Economic Cooperation (APEC) E-readiness Assessment,
this study aims to explore the consideration on E-commerce adoption
and what should be prioritized by 17 CEOs of SMEs in South-East Asia.

The Construction of Service Innovation of Green Bed andBreakfast (B&B)
Tain-Fung Wu, Ming-Yu Yang, Shien-Liang Chen
Asia University, Taiwan

The concept of Bed and Breakfast (B&B) tourism has become much
popular nowadays which results in the uneven quality on the drastic
competition within the industry. The innovation of B&B service hasbrought out several significant qualities other than technologies such asidea of hospitality, customer interface and administrating system.
Environmental friendly is a firm base of the B&B concept which
combines with local cultures and customs to successfully achieve aperpetual environmental prosperity in Green tourism. In this study,
three B&B owners with good performance in service innovation werechosen as the cases, and with qualitative case study, the four-structure
relationship of green service were deeply analyzed for all three cases.
The result showed the cases with the innovative interface and service
concept alternately proceeded to develop a new market and presented
an interweaving structure of innovation.

Sourcing under Incomplete Information about Suppliers
Jishnu Hazra, B Mahadevan
Indian Institute of Management Bangalore, India

Internet based marketplaces have enabled industrial buyers to locate
suppliers from geographically diverse locations. This has resulted inincreased variations in certain supplier parameters such as capacity andcost among the participating suppliers. In this paper we consider two
supplier parameters that can affect the price the buyer pays and thenumber of suppliers that the buyer will select for award of contract.
These attributes are capacity and cost. We show how the buyer will
determine the optimum number of suppliers using a reverse auction
mechanism when she does not have perfect knowledge of the suppliers’
parameters.

Under the dramatic change of business environment, organizations
must break up the boundary of organization, share and transfer
information with strategic alliance partners or customers more closely
to promote collaboration each other in order to improve enterprises’
competitiveness. Inter-Organizational Information Systems (IOIS) can
traverse the formal boundaries of an organization and are utilized byorganizations to connect partnership and customers to promoteconnection and information integration and support transactions-based
information and communication technology. Therefore, enterprises
increasingly place more importance on IOIS. The purpose of this study
is to propose a model for assessing IOIS performance. This study
develops the framework based Balanced Scorecard (BSC) and uses the
fuzzy analytic hierarchy process approach to consider the relative
importance of diverse performance indicators in assessing IOIS
performance for Taiwan’s information and electronic industries. The
results of this study provide references for managers and future
researches when assessing the performance of IOIS.

76

76

Session
Date
Time
Room
ChairsRM 2 Reliability & Maintenance Engineering (2)12/12/2013
11:00 - 12:30
Satabud
Behzad Ghodrati, David Valis

Dynamic k-out-of-n System with Component Partnership
Design with Two Dependent Competing Failure Processes
Nida Chatwattanasiri1, David Coit1, Naruemon Wattanapongsakorn2,
Qianmei Feng3
1
Rutgers University, United States
2
King Mongkut's University of Technology Thonburi, Thailand
3
University of Houston, United States

The adaptive k-out-of-n system composed of multiple types ofcomponents that each component can form a partnership with the same
type of components or with even better performances to achieve
reliability of a working system is called dynamic k-out-of-n withcomponent partnership. A dynamic k-out-of-n reliability model withcomponent partnership is proposed where all components experience
dependent failure processes due to simultaneous exposure todegradation and shock loads. The failure processes are dependent due
to the arrival of each shock having impact on both failure processes for
all components. The dynamic k-out-of-n system is suitable for certain
design problems when the minimum number of required components,k, changes dynamically in response to failures. The dynamic k-out-of-nsystem component partnership considering two dependent competing
failure processes is defined where k can change over time to maintainhigh reliability of the system in response to degradation and shock
failures.

Remaining Useful Life Prediction for a Hidden Wiener
Process with an Adaptive Drift
Zeyi Huang, Zhengguo Xu
Zhejiang University, China

Prediction of remaining useful life (RUL) based on conventional Wiener
process depends merely on the current degradation level, which may
issue in the inaccurate prediction. Moreover, measurement noises areinevitable in practical systems. Thus, a hidden Wiener process with anadaptive drift is developed to take measurement noises and the whole
historical degradation data into account simultaneously. The
degradation state, along with degradation drift, is estimated by Kalmanfilter. Meanwhile, the expectation maximization algorithm and the
Rauch-Tung-Striebel smoother are applied to estimate the unknown
parameters. Furthermore, we derive the analytical form of the
distribution of RUL incorporating the uncertainty of both degradation
state and degradation drift. The distribution can be timely updated
based on the new measurements. To validate the proposed approach, asimulation and a case study are presented and the results show that theparameters and the RUL can be estimated accurately.

Human Reliability and Workload in Product Design withdifferent Frequencies of Interruption
Raymond Djaloeis, Soenke Duckwitz, Malte Hinsch, Joerg Feldhusen,
Christopher M. Schlick
RWTH Aachen University, Germany

Product design requirements are often volatile and require human
input. To create a deeper understanding of human reliability in productdesign, a phase-dependent multi aspect taxonomy for the description
and analysis of human reliability in product design has been developed.
Based on this theory, different research hypotheses regarding the effectsof the variable frequency of interruption” on the quota of fulfilled
product requirements and on workload, frustration and effort were
formulated and empirically analyzed by conducting a laboratory
experiment with 79 students from a master program in mechanicalengineering of RWTH Aachen University. The results are presented inthis paper.

Maintenance-based Warranty for Offshore Wind Turbines
Yiliu Liu, Lijuan Dai
Norwegian University of Science and Technology, Norway

Most products are sold with warranties nowadays, including offshore
wind turbines. However, these turbines are complex engineeringsystems located far away from manufacturing facilities, and as a result
their warranties are different from those for consumer products. In thispaper, we consider maintenance strategies as the major elements in thewarranties for offshore wind turbines, which also include timing
requirements, charges and coverage. Warranty cost of turbines isanalyzed as the combination of maintenance cost and loss of power
production. Uncertainties in the analysis are also discussed.

Prediction of Further Operation Based on Vehicle Tribo Data
David Valis1, Libor Zak2, Jiri Chaloupka3
1
University of Defence, Czech Republic
2
University of Technology, Czech Republic
3
Military Technical Research Institute, Czech Republic

The paper deals with application of selected analytical methods foranalysing field data from heavy offroad military vehicles. The
information from the engine oil are interpreted in form of polluting
particles like particles from wear process (e.g. Fe, Pb, Cu, etc.) andparticles from oil deterioration itself (like Mn, Si, Zn, etc.). These pieces
of information have good technical and analytical potential which has
not been explored well yet. There is available reasonable set of vehicles
and their oil data from in-fieldoperation. Based on the data we assume
it will be possible to determine some changes in the system. This mayhelp to change e.g. the system maintenance policy, may estimate system
operation and help in mission planning.

Reliability Analysis of Condition Monitoring Data on Aging
Plants: A Case Study From Topside Static Mechanical
Systems
R.M. Chandima Ratnayake, Mayang Kusumawardhani
University of Stavanger, Norway

The quality of static mechanical systems’ integrity control process on
aging oil & gas production and process plants (P&PPs) depends on theaccuracy of the condition monitoring data. This is especially the casesince accurate interpretation of the data could significantly aid the rightdecision-making at the right time in the right location. However,anomalies have been observed in the historical inservice inspection data
records pertaining to most aging plants under study. Such anomalies
result in sub-optimal inspection decisions and jeopardize the quality of
an in-service inspection program. The uncertainties of condition
monitoring data have been discussed in the literature and industrial
community over the years. A number of approaches have been
proposed to address the various challenges pertaining to uncertainties
present in the in-service inspection data. This manuscript suggests anempirical approach for quantifying the reliability of condition
monitoring data to estimate the level of anomalies present in thein-service inspection data and to investigate the source of theseanomalies. A case study has been carried out using three different
P&PPs functioning on the Norwegian Continental Shelf. The flowline
system of each plant has been selected as that has been given highest
risk priority.

77

77

Session
Date
Time
Room
ChairsRM 3 Reliability & Maintenance Engineering (3)12/12/2013
13:30 - 15:00
SatabudOm Prakash Yadav, Yiliu Liu

Coast Down Time Analysis for Condition Monitoring: An
Experimental Investigation to Study the Effects of Bearing
Lubrication and Shaft Misalignment in Rotating Machinery

K P Ramachandran, Rameshkumar Ramaswamy, Lubulubah Hatif Al Hatmi
Caledonian College of Engineering, Oman

The inherent behavior of any rotating system after the power cut-off istermed as the Coast down Phenomena (CDP). Coast Down Time (CDT),
which is the exact time elapsed during deceleration period, can beeffectively used to monitor the tribological behavior and mechanicaldegradation of rotating machinery. This paper presents results of anexperimental investigation on a Centrifugal Blower test setup
supported with full journal bearing to study effects of lubricants andinfluence of shaft misalignment on CDT under different operating
conditions. Extensive experimental work has been carried out withdifferent oils (different grades of both fresh and used oils) undervarious shaft misalignment conditions at different cutoff speeds tostudy the tribological behaviour of lubricants and to study the effect ofoil degradation on CDT. Further, an attempt is made to understandeffectiveness of lubrication using CDT as performance parameter incomparison with steady state vibration which can be used as tool for
selection and optimization of the lubricants for a given application. The
result shows that higher order of shaft misalignment condition has
considerable effect on CDT at lower cut-off speed.

Estimation of Residual Life based on Vehicle Tribo Data
David Valis1, Ondrej Pokora2
1
University of Defence, Czech Republic
2
Masaryk University, Czech Republic

The aim of the article is to estimate a system technical life. Whenestimating a residual technical life statistically, a big amount oftribo-diagnostic data is used. This data serves as the initial source of
information. It includes the information about particles contained in oil
which testify to oil condition as well as system condition. We focus on
the particles which we consider to be interesting. This kind of
information has good technical and analytical potential which has notbeen explored well yet. By modelling the occurrence of particles in oil
we expect to find out when a more adequate moment for performing
preventive maintenance might come. The way of modelling is based on
the specific characteristics of diffusion processes, namely the Wiener
process. Following the modelling results we could in fact set the
principles of “CBM - Condition Based Maintenance”. However, thepossibilities are much wider, since we can also plan operation andmission. All these steps result in inevitable cost saving.

An Inspection-maintenance Strategy for Heterogeneous
Systems with Measurable Degradation
Zhi-Sheng Ye1, Mimi Zhang2, Xun Xiao2
1
The Hong Kong Polytechnic University, Hong Kong SAR
2City University of Hong Kong, Hong Kong SAR

Products are often designed to be very reliable such that even a
defective unit can function for a long time. Instead ofdegradation-based burn-in for these kinds of products, this study
advocates an inspection-maintenance strategy to make use of theseweak units. Under this policy, an inspection is conducted in the midwayof the system operation with the purpose of identifying and replacing a
defective unit, while an age-based preventive replacement is carried out
at a later stage to prevent a wear-out failure. By capitalizing on the
gamma process, the mean cost rate function of this policy is derived.
Optimal inspection and preventive maintenance times are discussed.
We compare the average cost of this policy with the joint burn-in andmaintenance policy to demonstrate its advantages.

78

Condition Based Optimal Maintenance Strategy for
Multi-Component System
Manish Rawat, Bhupesh Kumar Lad
Indian Institute of Technology Indore, India

This paper proposes a condition based group maintenance policy for
multi-component system. Condition of the components is defined interms of Remaining Useful Life (RUL). Predicted RULs are always
associated with some uncertainty. The RULs and associated uncertainty
then affect the maintenance decision making. This work aims at
obtaining optimal maintenance grouping of components at current
planned shutdown and optimal time for next planned shutdown. A
simulation based optimization approach is used to solve the problem.
The problem is of high importance to industries which operatecontinuously, like power plants, processing industries, etc.

Deriving an Empirical Model for Machinery Prioritization:
Mechanical Systems Maintenance
R.M. Chandima Ratnayake1, Dorota Stadnicka2, Katarzyna Antosz2
1
University of Stavanger, Norway
2
Rzeszow University of Technology, Poland

The maintenance of mechanical systems plays a significant role inproduction and manufacturing settings. In this context, prioritization ofmachinery is vital for minimizing the economic burden due to higher
maintenance cost, loss of production, potential damage to health, safety
and environment. Different production and/or manufacturing firms use
different approaches to mitigate the aforementioned. These approaches
are tailor-made to fit a selected production or manufacturing operationand the firm’s requirements, creating a difficulty in generalizing theirutilization in a generic application. Hence, it is vital to analyze theexisting models that have been used for the machinery prioritizationand derive a generic model, enabling it to be utilized in a genericapplication. This manuscript illustrates a study carried out in threefirms which utilize machinery for their production and/or
manufacturing activities. The empirical models that have been
employed for machinery prioritization by the aforementioned firms
were analyzed and a generic empirical model has been derived. The
empirical model has been validated by a randomly selected firm andone item of its machinery.

The Bivariate Generalized Variance |S| Control Chart with
Runs Rules
Chee Jiun Chong, Ming Ha Lee
Swinburne University of Technology Sarawak Campus, Malaysia

This work studies the effect of incorporating the 2-of-k, 3-of-k, andk-of-k runs rules into the one-sided bivariate generalized variance |S|control chart, in terms of the average run length (ARL). The Markov
chain approach is used to obtain the ARL profiles for the proposed chart.
The general transition probability matrices for the 2-of-k, 3-of-k, andk-of-k runs rules are constructed. The charts have better ARL
performance than the standard |S| chart. The results also indicate thatthe out-of-control ARL of the chart with 2-of-k runs rule decreases withincreasing values of k up to a point beyond which the ARL increases.
This is also the case for the 3-of-k runs rule. Meanwhile, theout-of-control ARL of chart with k-of-k runs rule increases as the valueof k increases. The chart with the 2-of-k runs rule gives better ARL
performance than the chart with 3-of-k and k-of-k runs rules.

78Session
Date
Time
Room
ChairsRM 4 Reliability & Maintenance Engineering (4)12/12/2013
15:30 - 17:30
Satabud
Ramachandran K P, R.M. Chandima Ratnayake

In-Service Inspection of Offshore Concrete Structures:
Application of an Expert System
Samindi Samarakoon, R.M. Chandima Ratnayake
University of Stavanger, Norway

In-service inspection plays a significant role in maintaining thestructural integrity of offshore structures. The in-service inspection
covers in-situ inspections, evaluation of inspection results, conditionassessment of the structure and planning for future inspections. The
planning of in-service inspection is a complex process due to thepresence of uncertainties; in particular the uncertainties present in theinspection results. In addition, the vagueness and the importance ofexpert knowledge necessitate having a methodology to integrate in a
coherent manner. This manuscript suggests a fuzzy expert system toaddress the aforementioned. This enables optimizing the number ofinspection points to be focused on, whilst identifying the potential risk
areas needing priority in future inspections with minimal effort andhigher efficiency. This manuscript also discusses the use of available
inspection methods of offshore concrete structures subject todeterioration and the use of inspection evaluation results to develop an
expert system for future inspections.

Double Intelligence Contests vs. Impact Contest in
Defending Genuine Object with Imperfect False Targets
Mengya Wan1, Xiuyi Chen2, Jun Yang1, Rui Peng2, Yu Zhao1
1
Beihang University, China
2
University of Science and Technology, China

Deploying false targets is an effective measure to increase thesurvivability of genuine object when it encounters intentional attacks.
Existing researches have mainly assumed that the false target is perfector can be detected with a constant detection probability. In this paper, it
is assumed that both genuine object and false target are possible to be
detected. The detection probability of the genuine object/false target
depends on the attacker’s intelligence effort and the defender’sdisinformation effort. A game between the defender and the attacker
with constrained resource is modeled, which can be divided into theintelligence contest on genuine object, intelligence contest on false
targets and the impact contest. The system survivability is modeled as afunction of the defender and the attacker’s strategies. As a beginning,
numerical analysis is implemented to study the optimal attack strategy
as functions of the defense strategy.

Plant Systems and Equipment Maintenance: Use of Fuzzy
Logic for Criticality Assessment in NORSOK Standard Z-008
R.M. Chandima Ratnayake
University of Stavanger, Norway

The NORSOK standard Z-008 suggests a criticality matrix for use inconsequence classification, maintenance planning, inspection planningand for prioritizing work orders. When the criticality assessments arecarried out using a criticality matrix, suboptimal classification tends tooccur as there are no means to incorporate actual circumstances at theboundary of the input ranges or at the levels of linguistic data andcriticality categories. This manuscript suggests a fuzzy inference system(FIS) to overcome the aforementioned. Membership functions and therule base development have been carried out in alignment with theZ-008 standard recommended guidelines.
A rule view and acalculation result have been demonstrated to illustrate themethodology.

79

Time-variant Reliability Analysis of Mechatronic ProductBased on PSO and Up-crossing Rate Approach
Bo Liu, Jianguo Zhang, Pidong Wang, Zhiyi Ma
Beihang University, China

Time-variant is the typical characteristic of components and systems
and the classical approach for time variant reliability analysis relies on
the computation of upcrossing rates. In order to get the up-crossing rate,
the common up-crossing approach uses a FORM method to computethe instantaneous reliability index at each time. FORM method likely
lead to decrease of the result’s accuracy when the limit state function isstrong nonlinear. In this paper, a new approach combined PSO with
up-crossing approach is proposed to solve this problem and theinstantaneous reliability index is computed by PSO. Then a numericalcase is carried out to compare this method with up-crossing approachand Monte-Carlo simulation, and the results show that the new
approach appears more accurate.

World Class Maintenance (WCM): Measurable Indicators
Creating Opportunities for the Norwegian Oil and Gas
Industry
Syeda Fahmida Imam1, Jawad Raza1, R.M. Chandima Ratnayake2
1
Apply Sørco, Norway
2
University of Stavanger, Norway

World Class Maintenance (WCM) concept is considered as anintegrated approach to perform asset maintenance comprehensible forall participants in an industrial organization. WCM creates
opportunities to make the work processes more efficient and effective ina way that these are universally applicable to increase the safety,
economy and overall efficiency of the assets. A well-defined WCM work
process can offer a unique business opportunity with minimum costing
to the assets' owner whilst increasing significant return on investments.
This manuscript attempts to explore the adaptability of WCM concept
in the Norwegian Oil and Gas (O&G) industry. It further identifies
measurable WCM indicators and highlights the current trends of WCM
as observed in the Norwegian O&G industry. The identified indicatorsin this context can be used for mapping current performance of any
operating assets by comparing it with the WCM standards.

Design an Effective Reliability Demonstration Test Plan
using Six Sigma Approach
Mohamad Razif Mohd Idris, Azmir Aladin
MIMOS Berhad, Malaysia

Reliability Demonstration Test (RDT) is a stress testing to determine
whether the product will meet a specified reliability goal and time.
Often being discussed is the method in performing the RDT, but thedetailed steps in developing RDT is seldom being shared, especially on
new product development with no correlation to field data. RDT is ahypothesis testing, failure in using the effective RDT plan will cause
disputed confidence in the integrity of the testing result. One of theways to ensure the effectiveness of the RDT plan is by implementing theSix Sigma strategy. In this paper, the planning of developing RDT byusing a structured Design for Six Sigma method, DMADV – Define,Measure, Analyze, Design and Verify is discussed. The DMADV steps
will guide and outline the process from early stage until the end stageof developing the RDT plan. The plan will consider every process that is
involved in the product design life cycle, including market or customer
needs, reliability requirements, cumulative effects of use environment,
life analysis distribution and tests equipment capabilities. The analysis
tools used are translated from Critical-To- Quality (CTQ) to
Critical-To-Reliability (CTR) requirements.

79Session
Date
Time
Room
ChairsTK 3 Technology & Knowledge Management (3)12/12/2013
09:00 - 10:30
Boontarik
Suthep Butdee, Matti Karvonen

Impact of Organizational Characteristics on the Relationshipof Management Practice Factors, Efficient Technology
Transfer and Firm's Business Performance
Nguyen Thi Duc Nguyen, Atsushi Aoyama
Ritsumeikan University, Japan

Although people’s attention is drawn toward efficiently achieving
cross-cultural technology transfer and business performance throughthe innovation management practices, the investigation uponorganizational characteristics could produce the insight. This study
aims to explore the appropriate approaches for efficient performanceupon organizational characteristics ? firm’s size, firm’s age, firm’s typeof ownership, and manager’s cross-cultural technology transfer
experience ? at 223 Japanese manufacturing subsidiaries in Vietnam.
The results through SEM-multigroup analysis indicate that: (1) on therelationship between management practice factors and efficienttechnology transfer, the significant differences lie at firm’s size fortraining; firm’s years of operation and firm’s type of ownership for
management commitment; manager’s experience in cross-cultural
technology transfer for sharing and understanding; and (2) on theimpacting correlations of efficient technology transfer on firm’s
business performance in term of productivity and innovative capacity,
the significant difference produces at firm’s operating years.

Technical and Non-Technical Innovation Models in China’s
SMEs: A Case Study
Jin Chen, Juxiang Zhou, Feng Xu, Yue Yin
Zhejiang University, China

SMEs are the important part of China’s economy and innovation
entities. Based on theoretical analysis, this paper puts forward an
applicable innovation models for SMEs. An in-depth case study ofBeijing Tianyu Communication Equipment Co. Ltd is carried out toshow how a firm’s various kinds of technical and non-technicalinnovations influenced its business performance. This paper concludes
that ingenious combination of technical and nontechnical innovation
would promote enterprises’ overall performance, and would be thedriving force of their consistent development.

The Impact of Scientific Knowledge Resources on
Innovation Performance: A Case Study

Juxiang Zhou1, Jin Chen2, Xiaoting Zhao1, Xiangzhen Yu3, Yue Yin1
1
Zhejiang University, China
2
Tsinghua University, China
3
Zhongkai University of Agriculture and Engineering, China

Chinese enterprises are inherently weak in scientific research and little
input in this area, resulting an always weak position to participate ininternational competition. Enterprises whose target is fame and fortune
are most concerned whether the scientific research promotes innovation
performance. In this study, on the basis of in depth study of knowledge
management and science-based innovation theory, we design thescientific knowledge measurement indicators, which consists with
science-based innovation dimension and stocks of scientific knowledge
dimension. Based on interviews and secondhand information analysis,
we convince our science-based innovation framework by a case study
and find that Chinese enterprises can carry out science-based
innovation by borrowing brain and buying technology, thereby greatly
enhancing the innovation performance.

80

Developing Proprietary or Open Source Technology:
Learning from Five Case Studies
R R K Sharma, Ajay Jha, Sandeep Rajput
Indian Institute of Technology Kanpur, India

Companies in high technology area either have to lead and set theindustry standard, or quickly follow the prevalent, or risk becoming
obsolete. Learnings from this paper are following: First, the Innovators
tend to develop proprietary technology to take advantage of first to
market and the late entrants try to make up by developing open source
technology. However the proprietary strategy is not always successful
in launching improved substitute owing to the network effect andswitching cost and the market may favor an inferior product. Second,the elite products are generally produced under proprietary technology,
whereas broad base products are aimed by open Source. Third, withtime the proprietary systems are found expensive to maintain, and aremade open to sustain. Fourth, proprietary technology aims forvertically integrated supply chain leading to full ownership of
upstream and downstream supply components. Finally the long term
strategy calls for open source for greater market size.

Overtime Reduction, Work-Life Balance, and PsychologicalWell-Being for Research and Development Engineers inJapan
Tetsushi Fujimoto, Sayaka Shinohara, Hideki Shimizu-Tanaka, Yoshifumi
NakataDoshisha University, JapanDue to the recent intensification of work hour regulation by Japaneseemployers, a large number of engineers in research and development
are increasingly unable to put in satisfactory amount of time in work,and the incidences of experiencing non-accomplishment in work are
growing. This study investigates whether and how the overtime
reduction affects engineers’ sense of fulfillment in work and personal
life, and examines how they influence engineers’ depression andperceived health. Results show that overtime reduction has both
positive and negative sides, and while on one hand it enhances the time
adequacy for engineers’ private life, on the other hand it significantly
reduces their sense of fulfillment in work. Furthermore, unbalance suchas “non-achievement in work” and “fulfillment in private life” is likely
to deteriorate their psychological well-being. Findings suggest that inorder to realize engineers’ work-life balance it is not sufficient to justenhance the time in private life, but it is also necessary to ensure
simultaneously a sufficient time in work.

Integration of Design for X Approaches in the Concept ofLean Design to Enable a Holistic Product Design
Uwe Dombrowski, Stefan Schmidt
Technische Universität Braunschweig, Germany

The essential conditions for all product lifecycle processes are highly
determined by the product design. The concept of Lean Design focuseson maximizing customer value and minimizing waste throughout allstages of product lifecycle by an optimized product design. However,multiple, partly competing aspects have to be taken into consideration
by a designer generating a holistic product design. Qualitative design
guidelines help designers to choose the right product design decisions.
Though, Lean Design does not provide such guidelines on an adequatelevel of detail. Therefore, this paper argues for an integration of Designfor X approaches in the concept of Lean Design. An approach ispresented that links concrete product design to customer value andwaste in lifecycle processes by help of qualitative design guidelines
recommended in Design for X approaches. As a basis for thisconnection the Characteristic-Property- Modell according to Weber is
used.

80

Session
Date
Time
Room
ChairsSR 2 Safety, Security & Risk Management (2)12/12/2013
11:00 - 12:30
Boontarik
Zhi-sheng Ye, Xiuju FuClarifying the Value Elements of Business Models forDisturbance Management in Supply Chains
Lea Hannola, Nina Tervonen, Ville Ojanen, Tuomo Kässi
Lappeenranta University of Technology, Finland

The interest towards solutions related to the management and analysis
of disturbances in supply chains has increased, which has led to apressure among technology and service providers to develop
comprehensive business models to response customer needs. The aimof the study is to clarify the value elements of a business model for
disturbance management and analysis in supply chains. Regarding to
the elements of a business model, the paper concentrates on the analysis
of customer segments, needs and demands related to the potential
benefits for the customers. The research is done by the perspective of asolution provider developing a service entity to logistic intensive
companies. The results of the study show that there are clear needs andbenefits for the development of solutions for disturbance management
and analysis. In addition, a SaaS based value proposition is stated forthe new solution of disturbance management and analysis in supply
chains. The value proposition is based on the determination of customer
needs, solution approach, benefits and prevailing competition of the
new service entity.

Customer Needs for Analyzing and Managing Disturbancesin Transport Logistics

Nina Tervonen, Lea Hannola, Ville Ojanen
Lappeenranta University of Technology, Finland

Logistic-intensive companies face a number of transport disturbances
every year, which can have significant effects on their operations andcause unnecessary costs. Although these problems are familiar to many
companies, the development of practices for managing and analyzing
disturbances is still at an early stage. In the future, the growing
importance of non-interference and the hard competition drive
companies to compete particularly on reputation and quality. The tools
for disturbance management and analysis can help companies tomonitor and control the negative effects caused by disturbances. The
aim of this study is to identify the needs of logistic-intensive companies
for developing ways to analyze and manage disturbances in order toenhance the proactive risk management in transport logistics. The data
was collected by conducting semi-structured interviews in 14
logisticintensive companies. As a result of the study, the customer needs
are identified and analyzed for developing best practices for
disturbance management in transport logistics.

Implications of Radioactive Contamination near Production
Sites for Product Quality-related Risk Perceptions andCustomer Loyalty
Bjoern Frank, Dinush Wimalachandra
Tokyo Institute of Technology, JapanTo help understand consumer reactions to risks of productcontamination caused by national disasters, this article studies
radioactive contamination caused by the 2011 nuclear accident in Japan.
Purchase situations confront consumers with products manufactured at
production sites near contaminated regions of Japan. Consumers mayeither reduce their purchases of such products to protect their health, orincrease their purchases to support suffering Japanese regions. Basedon consumer data from Japan, Ecuador, Bolivia, and Sri Lanka, thisarticle illuminates the influence of knowledge, information sources,
past experience, and personal characteristics on purchase decisions.
Consumers indeed reduce or increase their purchases as a response to
the risk of radioactive contamination. While health risk estimates, pastexperience with natural disasters, and the country of residence moststrongly influence this purchase decision, media reports and past
opposition to radioactivity most strongly influence health risk estimates.
Estimates of radioactivity levels are not influential.

Research on Safety Management of Freeway Traffic
Bing Li
Hebei University of Technology, China

With the rapid development of the freeway, preventive work of freeway
traffic faces larger and larger test. This paper adopts 1561 cases of traffic
accidents in the Jiliao-freeway in past 5 years to find out the factors that
affect safety. The study found out some factors which cause freeway
traffic accidents, they are time, weather, the number of patrol vehicles
and monitoring, age and attribution of the accident driver. The paper
studies the management problems with a two-step clustering method
and puts forward on the countermeasures and suggestions, especiallythe problem of freeway traffic police job burnout. This problem which
involves in safety management freeway traffic will reach a new level
and lay the foundation for the future research work to protect the
freeway safe and smooth effect.

Risk Management of Construction Projects Based on
Sandpile Model: a Frame of Risk Conduction
Bingbing Xu, Y. Q. Chen, C. M. Wang
Tianjin University, China

With the rapid development of Chinese economy and society, more andmore construction projects will be carried out, so how to manage risks
becomes a matter of concern in construction projects. The starting point
for the effective implementation of risk management is to identify
sources of risk and risk conduction pathway. This paper first classifies
risks of construction projects into categories from stakeholders’perspective, such as: endogenous risks and exogenous risks. Based onrisk conduction theory and sandpile model, a framework ofconstruction key risk conduction is established in this paper. Itsapplication to risk management was also briefly illustrated. Finally, we
propose a process to deal with varied risks. Studying the risks
conduction will be helpful to understanding and managing risks inconstruction projects.

8181Session
Date
Time
Room
ChairsIS Intelligent Systems
12/12/2013
13:30 - 15:00
Boontarik
Yuri Popkov, Poobalan GovenderDifference Priority Algorithm in Semiconductor Scheduling
Problems
Kun-Ming Yu, Ming-Gong Lee, Chang-Hsing Lee, Yon-Yaw Chen
Chung Hua University, Taiwan

The semiconductor industry is one kind of capital intense industry. To
establish a new professional testing company, the budget for machines
is almost 90% of the whole company’s expense, and it can be amortizedwithin 5 years only. Thus, how to improve the efficiency andeffectiveness of the testing procedure is one of the most important
issues for a semiconductor testing company. In this paper, the algorithm
MDP-GA is proposed which is a hybrid algorithm of thedifference-priority and genetic algorithms (GA). It emphasizes on
accelerating the converging process and improves quality of solution
obtained. The converging process can be completed within a short time,
and the solution will not converge to a local optimized solution. In
order to investigate the performance of the MDP-GA, someexperiments under the best condition and three different cases aredesigned for simulation. The numerical results are compared withresults from GATS (the hybrid algorithms of GA with Tabu search).
From the outputs of the experiments by the MDP-GA and the GATS, theaverage completion time of the MDP-GA outperforms the GATS. On thebest condition, the production rate can raise up to 270%~1000% by the
MDP-GA.

Fault Classification on High Voltage Power Lines Using
Principal Component Analysis and Feed-Forward Artificial
Neural Networks
Poobalan Govender, Neelendren Pillay, Kevin Emanuel Moorgas
Durban University of Technology, South Africa

Overhead high voltage power transmission lines are affected by various
external factors that result in faults and power outages. Most faults onoverhead high voltage power transmission lines are due to factors sucha lightning, fire, birds, pollution and other faults. The managing utility
has to take the appropriate mitigating action in order to reduce therecurrence of line faults. This is possible if the exact cause of the fault isknown. This paper examines the impact of lightning, fire and birds on
the power line and proposes a simple artificial neural network based
system to identify the exact cause of a transmission line failure.

Application of Estimation of Distribution Algorithms for
Solving Order Acceptance with Weighted Tardiness
Problems

Watcharee Wattanapornprom1, Tieke Li1, Warin Wattanapornprom2, Prabhas
Chongstitvatana2
1
University of Science and Technology Beijing, China
2
Chulalongkorn University, Thailand

Over the past decade the strategic importance of order acceptance has
been widely recognized in practice. This research studies the adaptationof estimation of distribution algorithm to solve the order acceptancedecisions when capacity is limited. The results show that the four new
estimation of distribution algorithms are all better than the genetic
algorithm with local search.

82

A Risk Assessment Model Using Artificial Neural Networks
Case Study: National Iranian Oil Products Distribution
Company (NIOPDC)
Ahmad Vedadi1, Maryam Khajeh1, Faezeh Montazeri2
1
Islamic Azad University, Iran2
National Iranian Oil Products Distribution Company, IranThe world today is full of risks and we had to deal with besides
assessing them. We are forced to identify and estimate theirconsequences. Organizations are making large investments in
information technology (IT) projects. Effective management of risks inprojects is therefore extremely important. The objective of this research
is design of Artificial Neural Network (ANN) model for ranking risk of
project in national Iranian oil products distribution company(NIOPDC). Used data is belonged to NIOPDC during the years
2005-2010. For design of ANN the neuro solution software is used. To
obtain a network capable to demonstrate the connections between the
inputs, an MLP with error back propagation is used. Considering thenumbers of the inputs and the space of prioritization is scope of thisresearch for solving the problem. We have used one hidden layer withmaximum 16 neuron, 42 neuron in the input layer and 5 neuron in the
output layer.

Dynamic Parallel Machine Scheduling Using the Learning
Agent
Biao Yuan, Lei Wang, Zhibin Jiang
Shanghai Jiao Tong University, China

Static and dynamic machine scheduling problems have been widely
addressed in literature. Compared with static scheduling, dynamicscheduling is more difficult since the detailed information about jobs
and machines (like the arrival time of jobs) is not available at the initialtime. Hence the lack of information makes dynamic schedulingproblems harder than static ones. In this paper, the learning agent basedscheduling system is developed to dynamically schedule machines inparallel. The scheduling system contains the learning agent and thesystem environment. The agent is trained by the Q-Learning algorithm,
and the best rule is selected according to the current state of the system,
while the system environment executes the rule selected by the agent.
In the simulation experiment, the proposed agent uses the rules of SPT,EDD and FCFS as actions, and is tested with two objectives: minimizing
the maximum lateness and minimizing percentage of tardy jobs. The
results demonstrate that the learning agent is suitable for complex
dynamic parallel machine scheduling.

In-Service Inspection of Static Mechanical Equipment: Useof a Fuzzy Inference System for Maintaining the Quality ofan Inspection Program

A.M.N.D.B. Seneviratne, R.M. Chandima Ratnayake
University of Stavanger, Norway

It is necessary to inspect the piping components of offshore production
and process facilities (OP&PFs) to investigate potential failures. This isespecially vital for aging OP&PFs in order to make the necessary
engineering judgments regarding maintenance and modification(M&M) activities. In an OP&PF, piping plays a vital role within thestatic mechanical equipment. To analyze the degradation trends in thepiping, the wall thickness measurements have been periodicallymonitored and recorded at the locations with a high risk of failure.
Inspection planners make recommendations on the thickness
measurement locations (TMLs) to be monitored based on: the currently
available recorded data, risk-based inspection (RBI) analysis results,
plant inspection strategy guidance and other regulatory requirements.
The quality of the recommendations made by an inspection planner toprioritize TMLs depends on their experience and competence. Hence, it
is vital to develop expert systems to support and minimize sub-optimal
decisions when an inspection planner is inexperienced. This manuscript
illustrates the use of a fuzzy inference system (FIS) for making optimal
in-service inspection recommendations based on the current status andtrends of TMLs in the static mechanical equipment of an OP&PF. The
proposed FIS enables the expertise of experienced inspection planners
to be incorporated via developed membership functions (MFs) and arule base, which will support and maintain the quality of an inspection
program at the intended level.

82Session
Date
Time
Room
ChairsMS Manufacturing Systems
12/12/2013
15:30 - 17:30
Boontarik
Lionel Amodeo, Prafulla Kulkarni

Design of Integrated Scheduling and Automated Controllingfor Surface Treatment Process using Supervisory Control andData Acquisition (SCADA)
Dida Damayanti, Haris Rachmat, Denny Sukma Atmaja
Institut Teknologi Telkom, Indonesia

This paper aims to design a model of integrated scheduling andautomated controlling for a surface treatment process in an aircraft
manufacturing company, where in this case aircraft parts are dyed into
chemical liquid to be corrosion-proof. In the existing plant, parts dyeing
processes (moving the crane and monitoring the tanks temperature) are
done manually. Integrated scheduling and automation control system is
proposed to improve planning, control and safety issues in the dyeing
process. The scheduling system is developed using fuzzy logic
algorithm to minimize makespan and the automation system isdesigned based on Supervisory Control and Data Acquisition (SCADA).
A case study has shown that the simulation of proposed model can
result in reducing makespan of about 51,3 % and the schedule can be
implemented automatically in the surface treatment prototype.

Common Production Process Modeling for MES Based on
Multi-Agent
Shikai Luo, Guiming Luo, Xibin Zhao
Tsinghua University, China

In discrete manufacturing enterprises, the production processes arecomplex and varied. In order to construct a manufacturing execution
system (MES), up to 70% of the work must be customized. This cost
represents a tremendous waste when MES are developed, especially interms of development cycles. In this paper, a flexible method fordesigning the common production process of an MES is proposed using
multi-agents. The enterprise framework is described by an automaton.
The whole MES is modeled by a multi-agents system (MAS), whichcontains databases, order agents, environment agents, and control
monitors. With the efforts of these multi-agents, the MES is able tobecome more intelligent and more efficient, and it can work without
intervention from the enterprise resource planning (ERP) system.

Genetic Algorithm Approach for Solving Intercellular
Layout Problems in Cellular Manufacturing Systems

Prafulla Kulkarni1, Kripa Shanker2
1
Gokhale Education Society's R. H. Sapat College of Engineering, Management
Studies and Research, India
2
Indian Institute of Technology Kanpur, India

In this paper, a comprehensive genetic algorithm (GA) based solution
methodology is proposed for solving layout problems in cellular
manufacturing systems (CMS). The issue of intercellular layout is dealt
with. The layout of facilities to locations called as facility location
problems has been most researched. The optimal assignment offacilities to locations is a combinatorial optimization problem and has
been proved NP-hard. The proposed solution methodology iscompared to the facility locations algorithms as well as with the otherexisting algorithms. The novelty of the proposed genetic algorithm liesin the way the initial solution is constructed, and in the way the initialand final chromosomes for GA are obtained. In order to validate theperformance of the algorithm, a well known CMS problems that deals
with location, is taken for testing which shows that the proposed
methodology provides promising results.

83

Lean Implementation in Small and Medium Enterprises – A
Singapore Context
Laura Xiao Xia Xu, Feng Yu Wang, Roland Lim, MH Toh, Ram Valliappan
Singapore Institute of Manufacturing Technology, Singapore

Almost everyone in the industries has heard of lean and hailed it as a
resolution to solve operational issues in production and logistic systems.
However, many of those who believe in lean, especially Singapore local
Small and Medium Enterprises (SMEs), are facing great challenges totruly apply the lean method for continuous improvement in
performance. They need guidance and a suitable methodology toembrace lean so as to be more productive and to better compete in the
global market. In this paper, the key success factors for successful lean
adoption in Multinational Companies (MNCs) have been identified andthe challenges faced by SMEs in pursuing lean are outlined. By
understanding current situation in Singapore SMEs and their needs, a
specially designed program has been proposed.

An Improved Binary Linear Programming Approach for Life
Cycle Assessment System Boundary Identification
Feri Afrinaldi1, Hong-Chao Zhang2, John Carrell2
1
Texas Tech University, United States, Andalas University, Indonesia
2
Texas Tech University, United States

According to ISO standards life cycle assessment (LCA) consists of goal
definition and scoping, inventory analysis, life cycle impact assessment
and interpretation. In goal definition and scoping LCA systemboundary is defined. Since LCA is time consuming then there is a needfor a systematic approach to determine which processes needed to be
included in the system boundary. This paper fulfills the need byproposing an improved binary linear programming model for LCA
system boundary identification. The objective function of the model isto minimize the number of processes included in the system boundary
and its constraints are the specified mass, energy and economic value
ratios. In order to demonstrate its applicability an example is presented.
A sensitivity analysis is also conducted in order to illustrate how thechange in the specified mass, energy and economic value ratio willaffect current optimum system boundary.

Measurement of Manufacturing Effectiveness of a Company
Using Analytical Hierarchical Process: A Case Study

Ramesh Lekurwale1, Milind Akarte2, D.N. Raut3
1
K. J. Somaiya College of Engineering/Veermata Jijabai Technological Institute, India
2
National Institute of Industrial Engineering, India
3
Veermata Jijabai Technological Institute, India

Measuring the manufacturing effectiveness (capability) facilitates thefirm to know the present status and also provides a pointer to the weak
decisions for further improvement. This article presents a case study forevaluating manufacturing capability of a Job Shop Production System(JSPS), where current status (level) of manufacturing capability of a
firm based on the consistency of the decisions taken has been computed.
For this, hierarchical model based on the overall goal (manufacturing
capability) has been adopted by using AHP (Analytical HierarchicalProcess) – a MCDM (multi criteria decision making) tool. The
manufacturing capability of a firm is computed and then comparedwith ideally required decisions from the same category of
manufacturing system, in order to identify weak decisions. The findingof this research work will be helpful to practitioners and future
researchers.

83Session
Date
Time
Room

Poster Session 2
12/12/2013
15:00 - 15:30
Krisanaresource-based drivers were identified. The Qsort method was thenapplied to classifying these drivers into categories according to theexperts’ opinions for the purpose of evoking group consensus on theclassifications. The results of this study will be used to develop atheoretical framework and a hierarchical decision making model for theprioritization of these drivers in further research.

A Conceptual Framework of an Integrated Fuzzy ANP andTOPSIS for Supplier Selection Based on Supply Chain Risk
Management

Diversification of Supply Chain

Currently, many companies require agility in supply chains to manage
disruption risks. Supplier selection is one of the most important
decisions for the success of firms. It is the first step of the activities in
the product realization process starts from the purchase of materials for
production and then delivery products to end customers. The objectiveof this research is to develop a conceptual framework model for
supplier evaluation based on an integrated of the fuzzy analytic
network process (FANP) model and technique for order performanceby similarity to ideal solution (TOPSIS), which incorporates the
procurement risk, production risk, deliver risk, and environment risks.
The proposed model will be later implemented in a manufacturing firm
to priority weight factor and will be presented in a due course.

The supply chain (SC) will be considered as a competitive strategy andone of the most useful methods by which companies can deliverproducts to customers effectively, all aspects of great are really
importance to companies. However, each company has its own
business scale and market areas, the supply chain model must vary toaccommodate those dissimilarities. The contributions of the paper are
three-fold: introducing three different types of enterprises concerningmarket regions, examining three types of supply chain models anddeveloping a specific role of entities in the models. Some Small andMedium sized and effectively, are virtually important to companies.
Enterprises (SMEs), which have not established a certain SC, maychoose a suitable model. This paper draws up three models of SC forenterprises referring

Sittichok Sinrat1, Walailak Attihirawong2
1
Administration and Management College, King Mongkut’s Institute of Technology
Ladkrabang, Thailand
2
King Mongkut’s Institute of Technology Ladkrabang, Thailand

James K. C. Chen1, Tran Nguyen1, Kaisa Chen1, Ha Nguyen21Asia University, Taiwan
2Foreign Trade University, Viet Nam

An Analytic Network Process Model to Support Decision
Making in a Pharmaceutical Supply Chain

Reverse Logistics: A Business Opportunity in Time of Crisis

This paper intends to design an Analytic Network Process model toassists managers of different pharmaceutical supply chain entities in
identifying and prioritize the management practices they use or should
use to achieve a competitive position in the market. The model involves
interactions between various criteria for management practice selection.
To this purpose a set of clusters and elements related to a Portuguese
pharmaceutical supply chain are identified to compose the model andpairwise compared with respect to a given factor.
The results obtained from the proposed model show that the mostsuitable management practice for the pharmaceutical supply chain
studied is “Just In Time” if the lean supply chain management
paradigm was implemented and “Promoting visibility throughout the
supply chain” if was the agile paradigm. Concerning the key
performance measures, “On-Time-In-Full delivery” and “Inventory
value” are selected respectively for lean and agile supply chain
management.

The current project is aimed at analyzing the possibilities of the Reverse
Logistics as a new market niche in industry through the creation of astandard industrial estate that clusters several activities related to theindustrial waste appreciation and that can be benefited from theeconomies of scale, from the synergies obtained between the companies
settled there and the collaboration of public authorities. The results
obtained show that the initiative also represents a business opportunity
for the promoters, when there is a serious crisis in the sector, especiallyin Spain.

Virginia Machado, Ana Paula Barroso, Virgilio Cruz-Machado
Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, Portugal

Economic, Environmental and Social Responsible Supply
Chain design Using Differential Evolution Multi Objective
Algorithm
Shadan Tayyar1, Daniel Roy2, Farid Ghaderi3
1
Ecole Nationale Supérieure d’Arts et Métiers, France, Metropolitan
2
LGIPM - GIL, Ecole Nationale d’Ingénieurs de Metz, France, Metropolitan
3
University of Tehran, IranSupply chain networks entail a large amount of investments and that is
why they are expected to work for a long time horizon in an economic
way. But just considering economic aspects cannot ensure the optimum
state of networks design and nowadays, there is a need for considering
the other effecting aspects such as environmental and social factors. In
this research, we provide a comprehensive mathematical framework ofsupply chain networks design based on the three above mentioned
factors. Our proposed model is made based on certain contributions
which are considered especially in social responsible factors. Because of
the NP-Hard nature of the problem and since our model is amulti-objective model, a meta-heuristic, namely differential evolution
multi objective has been applied to find Pareto-archive solutions. For
tuning the parameters of the algorithm, we apply response surface
methodology.

Determining and Classifying Drivers of Sustainable
Competitive Advantages in Green Supply Chain
Management: Resource-Based and Relational Views
Nisakorn Somsuk, Pongtiwa Pongpanich, Sombat Teekasap
Eastern Asia University, Thailand

This paper aims to identify a common set of drivers of green supply
chain management (GSCM) which affects sustainable competitive
advantages of firms in supply chains, with respect to the specificinternal and relational resources of the firm, and to classify thesedrivers into consensus categories. In this paper, drivers were identified
based on a literature review through the lens of two strategic
management theories of competitive advantage: resourcebased andrelational views. After the literature review, three categories of84

Manuel Monterrey, David de la Fuente, Isabel Fernandez, Jose Parreno,
Rafael Rosillo
University of Oviedo, Spain

A Practical Supply Chain Risk Management Approach using VaR
Jasmine Jiamin Lim, Allan Nengsheng Zhang, Puay Siew Tan
Singapore Institute of Manufacturing Technology, Singapore

In these recent years, the complexity of supply chain has been
increasing with globalisation and as such, disruptions are happening
more frequently with the impacts getting more severe. Thus, there is a
growing need to deal with such risks arising from disruptions to the
supply chain. The objective of this paper is to present a practicalmethod for supply chain risk management using Value at Risk (VaR), a
technique to identify, assess and mitigate these disruption risks. The
method aims to tackle possible risks through the application of VaR andprovides deterrent solutions. Through this method, firms will be able toconduct “what-if” analysis to manage potential risks and thus
minimizing the impact of the risks to their supply chains during thesudden occurrence of disruptions.

Optimal Design of Sewer Network by Tabu Search andSimulated Annealing
Shuang-Fu Yeh, Yao-Jen Chang, Min-Der Lin
National Chung Hsing University, Taiwan

Optimal sewer network designs are NP-hard and highly complicatednonlinear problems. Conventional optimization techniques often easily
get bogged down in local optima and cannot successfully address suchproblems. In the past decades, heuristic algorithms with robust andefficient global-search capabilities have helped to solve continuous anddiscrete optimization problems and have demonstrated considerable
promise. This study applied tabu search (TS) and simulated annealing(SA) to the optimization of sewer-network designs. As a case study, itapplied to solve a benchmark sewer network optimization problem
reported in the literature. The optimal configuration of TS and SA
parameters were determined by systematically evaluating the relative
computational performance of TS and SA. Characteristic analysis wasundertaken and solution qualities from different algorithms were also
compared. The results show that SA is able to obtain optimal sewer
network designs better than those methods previously reported in theliterature.

84

An Improved Variable Neighborhood Search for the Open
Vehicle Routing Problem with Time Windows

Determinants of Adopting Mobile Internet TV in Bangkok

This paper considers the open vehicle routing problem with time
windows (OVRPTW). An improved variable neighborhood search(VNS) algorithm is proposed to solve the problem. The improved VNS
features a route construction mechanism to ensure the customers withearlier time windows will be served first. The results of computational
study indicate that the proposed algorithm can solve OVRPTW
effectively.

This research identifies the elements people consider important in theirdecision to adopt mobile internet TV. A theoretical framework wasdeveloped to describe adopting Internet TV via mobile device. The
constructs used in the research model were Perceived Usefulness andPerceived Ease of Use, based on consumers’ cognitive judgments of theservice or the technology, from Technology Acceptance Model (TAM).
The findings enable mobile operators to find the best way in developing
current mobile data service and also preparing for mobile TV service
which will be provided by TV broadcasting operator to serve 4G mobile
technology in Thailand in the near future. Broadcasting TV service on
4G frequency to mobile user devices would be the origination of
convergence between Telecommunications and Broadcasting.

Anak Agung Ngurah Perwira Redi, Meilinda Fitriani Nur Maghfiroh,
Vincent F. Yu
National Taiwan University of Science and Technology, Taiwan

The Impact of Managers Selection Criteria on Quality ofCapabilities: Are Managers only for Representative
Function?
Mait Rungi
Tallinn University of Technology, Estonia

Dynamic capabilities represent every change-oriented routine action incompany. Dynamic capabilities are widely used due to their aim to copewith dynamical changes, which happen often/regularly. Managers andemployees are behind of most companies' actions. While earlier
research has emphasized more capabilities selection than theirdevelopment techniques, then it makes managerial decisions especially
important. This research investigates empirically how manager
selection criteria influence goodness of capabilities. Managerial criteria
influence more on top-management related issues and lessmiddle-management issues. Interestingly, prior education andexperience are not as much important than fit with organization,
however, latter is hard to evaluate ex-ante - at selection. Formal
academic degree/certification of managers is more evaluated than thereal education. Companies do not evaluate highly selection criteria suchas creativity, entrepreneurship. Also, it is like that human resource
management is not closely tied with dynamic capabilities.

Sothaya Rasmidatta1, Suphachet Phermphoonwatanasuk2, Nopporn
Srivoravilai1
1Dhurakij Pundit University, Thailand
2
Advanced Info Service PLC, Thailand

Work Value and Motivation Mediate the Influence of
Personality on Contextual Performance
Zhijing Wang, Ji-Wei Ma, Yi Wen Chen
Chinese Academy of Sciences, China

From the perspective of personality framework, the mediating effects ofpersonality dynamic variables (values and motivation) on therelationship between personality traits and contextual performance
were tested in 291 employees in different foreign enterprises in China
through questionnaires. The results show that 1) competence andgrowth values mediate the effect of Big Five on contextual performance;2) status and independence values (indirectly through intrinsic
motivation) mediate between openness, conscientiousness andcontextual performance; 3) intrinsic motivation mediates between
competence and growth values, status and independence values, andcontextual performance.

Friction Between Foot and Floor Under Barefoot Conditions:a Pilot Study

The Associations between Emotional Intelligence andAcademic Achievement: Mediator or Moderator effect ofLearning Adaptability

An experiment was conducted in the laboratory to measure the force
plate-based coefficient of friction (COF) between the foot and floor. A
female human subject participated in the study. She was sitting with herthigh horizontal and her shank was in a vertical position. Her foot wason a tested floor which was mounted on a Bertec® 4060 force platformin front of her. There were four types of floors and three floor surface
conditions. The subject slide her foot with either fast or slow sliding
speed using either her left or right foot. The force plate-based COF
between the foot and floor was calculated. The results found that thefloor, surface condition, and sliding speed were all significant factors
affecting the force plate-based COF. The surface condition was the mostsignificant factor among all the factors considered in this study. The
difference between the left and right foot was not significant.

Objective: The purpose of this study was to explore the characteristicsof the relationship between emotional intelligence and academic
achievement, as well as to examine whether learning adaptability was amoderator or mediator between them. Methods: 610 college students
were investigated by questionnaires consisted of emotional intelligence
scale and college students' learning adaptability scale. Results: (1)Emotional intelligence was significantly associated with academic
achievement (r = 0.36, p <0.01). (2) Learning adaptability played partly amediator role between emotional intelligence and academic
achievement, but the moderator effect was not significant. Conclusion:
The individuals with high emotional intelligence are able to obtain highlearning adaptability, and high academic achievement.

Kai-Way Li, Hsiao-Ching Wen
Chung Hua University, Taiwan

A Discussion of Multiple Learning Effects and Unconscious
Behavior in the Software Debugging Process with Variable
Potential Errors and Change-points
Kuei-Chen Chiu, Shulan Hsieh
National Cheng Kung University, Taiwan

Cognitive learning has been applied in various fields for the purpose of
discussing human behavior. In this study, we employ learning functions
in software reliability growth models (SRGMs) and consider theconscious/unconscious behavior and multiple learning effects in themodels simultaneously to discuss the influence of learning effects onwork performance in software debugging projects and also the
influence of variations in the environment on learning effects. The
models are based on Chiu’s models (2011) and employed a sine function(Huang, 2011) to describe the variable potential errors and to judgechange-points in the software debugging process. The results showedalmost perfect fitting for the models to the actual data sets, whichmeans the staff engaged in software debugging projects have not only
conscious learning effects but also unconscious behavior that can
describe variable potential errors and explain the change-points in asoftware debugging process. This paper also examines the effectivenessof the proposed models and discuss when and what kinds of learning
effects occur and how these influence software reliability those help
managers to master the software debugging process, the performanceof the staff involved in this process, the reliability of the softwaresystem, and in the employment of suitable methods to manageorganizations.

85

Xue Fei Zhou1, Yi Wen Chen2, Hui Xie1, Hong Xie1
1
Bengbu Medical College, China
2
Chinese Academy of Sciences, China

Lower Bounds for Estimating Workforce Size in a 24/7
Company
Jesús Lozano, Alberto Gómez, Raul Pino, Javier Puente, Borja Ponte
University of Oviedo, Spain

A company providing services in a 24/7 basis faces the problem ofdetermining what are the workers prerequisites per shift, and after that
estimating the lower bounds of workforce size that could provide thecontinuous service. In this paper we solve the estimating problem
according to characteristics of the contraction, vacation period anddegree of absenteeism.

The Effect of Sound on Job Performance
Veronika Siskova, Martin Juricka
Tomas Bata University, Czech Republic

Industrial factories involves in their equipment or machinery can be
noisy places and exposing employees to conditions can affect their job
performance and health quality. Noise exposure in the workplace might
have resulted in long-term workers´ health problems; occupational
diseases. Designers, managers or people responsible for safety of work
should take into account possible danger of sound effect during
designing future workplaces. This article reports the results of aquestionnaire survey that investigated sound as a physical factor and if
its effect is solved in production factories. The sample of 69 respondents
included especially production factories having mostly assembly
workplaces. The results confirm the hypothesis solving a workplaceassessment and sound impact on job performance. Results of the survey
were confirmed by case study that was carried out in the processing
plastics manufacturing company.

85

Evaluation of a Collision Avoidance Display to Support
Pilots’ Mental Workload in a Free Flight Environment
Yakubu Ibrahim, Peter Higgins, Peter Bruce
Swinburne University of Technology (SUT), Australia

Air traffic is expected to double in the next two decades. The possibilityof pilots’ mental workload and midair collisions will increase therefore.
To support the growing air traffic under the free flight environment,
new systems, procedures and self-separation as compared to current
Air Traffic Management System will be introduced. Pilots’self–separation is a new task. This new task may pose a challenge toboth pilots and air traffic controllers (ATC) in conflict situations. Thus,
imposes a new mental workload. An innovative collision avoidance
display has been developed to support pilots’ mental workload in a free
flight environment. An experiment was conducted to evaluate theeffectiveness of Flight Collision Avoidance System (FCAS) display ascompared with a contemporary instrumentation. The results suggest adecrease in pilots’ mental workload is a viable proposition for complex
flight tasks.

Selection of Sub-contractors of the Project While Minimizing
Settlements of Contractual Penalties and Success Fees
Tomasz Błaszczyk1, Pawel Błaszczyk2
1
University of Economics, Poland
2
University of Silesia, Poland

Most of today's projects are interdisciplinary and requires theinvolvement of contractors that specialize in different types of works. In
various circumstances, it may be advisable to minimize theirmultiplicity or their diversification. In some cases it may be desirable tomeet certain characteristics by contractors for selected tasks.
The aim of this paper is to determine the model of selection ofcontractors in complex project from the point of view of the project
owner or general contractor. As a methodological basis we use themulti-criterial decision model assigning each task to specific contractors
in the project with the function of distribution of penalties arising fromdelayed completion and potential benefits in the event of earlytermination of the project.

A Comparison Between the Sprinklers Nozzles
Dimensioning Imposed by the European and the American
Fire Safety Norms – Case Study: A Warehouse Containing
Plastic

Marcello Fera1, Raffaele Iannnone2, Alfredo Lambiase2, Roberto Macchiaroli1,
Salvatore Miranda21Second University of Naples, Italy
2
University of Salerno, Italy

The fire safety engineering (FSE) has improved the design of manyindustrial systems. In this study, the FSE approach is applied to an
inventory of plastic materials to determine the best design solutions forthe sprinklers nozzles used. In particular it is demonstrated the safety
equivalence between the sprinklers’ nozzles imposed by the European
norms and the ones imposed by the American norms. This result leads
to a more efficient way to design the extinguishing systems for thewarehouses.

An Application of Learning Effects for Assessing Work
Performance Using a Software Reliability Growth Modelwith Multiple Change-points

Kuei-Chen Chiu, Shulan Hsieh
National Cheng Kung University, Taiwan

Learning effects exist with regard to various behaviors, and especiallywork-related processes. This study measures the performance of asoftware testing project with time-varying effects using a software
reliability growth model (SRGM), and discusses the changes in learning
effects parameters with change-points in the model. We employ Chiu’s(2011) model to construct the time-varying learning effects and measure
the performance of the software testing project using the data set in
Huang (2010). This paper also discusses the time-lag between
error-detected and error removed that exists with different learning
concepts. The results indicate that error-removed requires morecognitive learning process time, and this information can be used tohelp project managers mastering the staff and the process of software
testing, efficiently.

Which Dynamic Capabilities Needed for Successful Promote
of ERP Activity?

Te-King Chien, Jhih-Cian Syue
National Formosa University, Taiwan

Although many scholars have proposed all kinds of key success factors(KSFs) of an ERP (Enterprise Resource Planning) activity in enhancing
the smooth introduction of ERP into the enterprise, the factors that are
based too much on concept and protocol cannot help an enterprise tosolve the problems encountered during the introduction process.
Therefore, in this research, through the literature review and qualitativeinterview method, 68 items of key success factors and 11 types and 48
factors of dynamic capability architecture were proposed. Next, under
the PDCA management cycle, this research integrated the two above
mentioned results to set up a dynamic capability model of key successfactors for ERP introduction so as to exhibit the kind of dynamic
capability needed for each key success factor. This result not only
creates practical value for the factors in question, but also displays
implementable effectiveness for the dynamic capability concept.
Therefore, this also brings a new direction to the academic research.

An Extended Risk Matrix Approach for Supply Chain Risk
Assessment
Zheng Ping Li1, Gabriel Yee1, Puay Siew Tan1, Siang Guan Lee2
1
Singapore Institute of Manufacturing Technology, Singapore
2
Nanyang Technological University, Singapore

Risk assessment is important for ranking risks properly and allocating
limited resources to mitigate critical risks. The paper reviews the risk
assessment approaches with a focus on the advantages, limitations andapplications of the Risk Matrix Approach (RMA). The paper thenproposes an extended risk matrix approach (ERMA) for supply chain
risk assessment. The purpose is to overcome the limitations of
traditional RMA, enrich the features and improve its applicability insupply chain risk management (SCRM). In the proposed approach, newimensions of risk metrics - detectability and recoverability - areincorporated to capture the complexities of supply chain risks which
are important to supply chain managers. The new approach is tested
out in a case study of a MNC supply chain and the key findings arepresented.

86

86Author Index
A
ABDUL AZIZ, Roseni p.47
ABDUL HALIM LIM, Sarina p.40
ABDUL HAMID, Abu Bakar p.60
ABDUL RANI, Mat Rebi p.47
ABDULRAHMAN, Muhammad
p.64, 32
ABELHA, Antonio p.65, 66
ADEBANJO, Dotun p.38, 48
ADEYEMI, Ademola James p.47
AFRINALDI, Feri p.83
AGHASSI, Susanne p.32
AHMADI, Alireza p.46
AHN, S. H. p.56
AKARTE, Milind p.83
AKKERMAN, Renzo p.63
AL HATMI, Lubulubah Hatif p.78
ALADIN, Azmir p.79
ALDANONDO, Michel p.52, 76
ALMEIDA, Antonio p.40
ALONSO, Kelly p.32
ALONSO-QUESADA, Santiago
p.68, 74
ALTAN, Cengiz p.60
AMBERG, Michael p.73
AMODEO, Lionel p.48
ANANTHAKUMAR, Usha p.59
ANDIAS ANUGRAHA, Rino p.73
ANONGJANYA, Nichchima p.41
ANTONY, Jiju p.40
ANTOSZ, Katarzyna p.78
AOUAM, Tarik p.70
AOYAMA, Atsushi p.59, 80
ARDIANSYAH, Rakhman p.43
ARNOLD, Roman p.72
ATEME-NGUEMA,
Bathelemy-Hugues p.37
ATTIHIRAWONG, Walailak p.84
AVRAHAMI, Tzhi p.34
AYELE, Yonas Zewdu p.52
AZARON, Amir p.54
AZEVEDO, Americo p.35, 40

B
BACKSTRAND, Jenny p.38
BAEK, Seongho p.55
BAGAYOKO, Moussa p.37
BAHN, Sangoo p.56
BANSAL, Ankit p.62
BARABADI, Abbas p.52
BARABADY, Javad p.52
BARCO SANTA, Andrés Felipe
p.52
BARKIA, Hasna p.58
BARROSO, Ana Paula p.61, 84
BASHIRI, Mahdi p.50
BAUER, Wolfgang p.72
BAUMANN, Philipp p.44
BEAUNE, Philippe p.58
BEHNCKE, Florian G. H p.61, 73
BHATTACHARJEE, Kalyan
Kumar p.57
BI, Guijun p.50
BICKERT, Stefan p.43
BIESEN, Marco p.36
BŁASZCZYK, Pawel p.86
BŁASZCZYK, Tomasz p.86
BOHEZ, Erik p.74
BOONCHOUYTAN, Worapong
p.55
BOONSOTHONSATIT, Kanda
p.59
BORRERO, Alejandro p.44
BOUCHER, Xavier p.58
BRAHIMI, Nadjib p.70
BRUCE, Peter p.86
BUDDHAKULSOMSIRI, Jirachai
p.68
BURAPA, R. p.55
BURES, Marek p.49

87

BUTDEE, Suthep p.53

C
CABRAL, Izunildo p.74
CALDAS, Alvaro p.40
CAO, Kaily p.69
CARERI, Nicola p.47
CARRASCO, M. p.39
CARRELL, John p.83
CEN, Ling p.42
CHAHARSOOGHI, S. Kamal
p.61
CHAKRABORTY, Ayon p.70,
67
CHALOUPKA, Jiri p.77
CHAN, Alan H.S. p.35
CHAN, C. M. p.65
CHAN, Felix p.38, 75
CHANG, Chih-Sung p.59
CHANG, Kevin p.69
CHANG, Pao-Long p.73
CHANG, Yao-Jen p.84
CHAO, Miao p.36
CHAOLAEM, Suleeporn p.71
CHAOVALITWONGSE,
Paveena p.54
CHAOWARAT, Woramol p.62
CHATTHONG, J. p.55
CHATWATTANASIRI, Nida
p.77
CHATWIN, Chris p.45
CHEN, Chien-Liang p.68
CHEN, James K. C. p.59, 84,76
CHEN, Jin p.80
CHEN, Jyun-Yu p.68
CHEN, Kaisa p.84
CHEN, Shien-Liang p.56, 76
CHEN, Shin-Guang p.34
CHEN, Tsung-Yi p.45
CHEN, Xi p.51
CHEN, Xiao-li p.48
CHEN, Xiuyi p.79
CHEN, Y. Q. p.81
CHEN, Yi Wen p.51, 57, 85
CHEN, Yon-Yaw p.82
CHEN, Yuh-Min p.45
CHENG, Ling p.73
CHEONG, Soon-Nyean p.35
CHIANG, Wen-Hsin p.34
CHIEN, Te-King p.86
CHIEN, Weiting Kary p.49, 69
CHIU, Kuei-Chen p. 85, 86
CHOI, MyoungJin p.74
CHONG, Chee Jiun p.78
CHONG, Kuan Eng p. 44, 69
CHONGSTITVATANA,
Prabhas p.82
CHOU, Jui-Sheng p.62
CHOU, Ying-Chyi p.56
CHOUDHARI,
Chandrashekhar p.68
CHOUDHURY, Tonmoy p.58
CHOW, Jenny p.38
CHU, Chihpeng p.43
CHUANG, Hsiao-min p.43
CHUNG, Nick p.38, 75
CHUNG, Wing Tai p.67
COGNINI, Riccardo p.31
COIT, David p. 34, 77
COOLEN, Kris p.54
COUDERT, Thierry p.76
CRUZ-MACHADO, Virgilio
p.61, 84

D
DAI, Lijuan p.77
DAI, Wei p.46
DAMAYANTI, Dida p.83

DAO, Thien-My p.37
DAS, Partha Pratim p.58
DE LA FUENTE, David p.84
DE LA SEN, Manuel p.68, 74
DE SMET, Yves p.58
DEMIR, Emrah p.33
DESHMUKH, S.G. p.63
DI DIO, Mariagrazia p.50
DIAWATI, Lucia p.60
DJALOEIS, Raymond p.77
DOMBROWSKI, Uwe p.80
DONAUER, Michael p.35
DOULATABADI, Mehran
p.51
DUAN, Jiageng p.32
DUARTE, Julio p.65
DUCKWITZ, Soenke p. 39, 77
DUKOVSKA-POPOVSKA,
Iskra p.72
DURGA, Ashwin p.59
DURONGWATANA, Supol
p.51

E
EHRHARDT, Julia p.61
EKA, Rachmad p.73
ELEZI, Fatos p.50, 72
ELMHAMEDI, Abderrahman
p.50
ENKAWA, Takao p.53
ERIKSSON, Henrik p.40
ESPADINHA-CRUZ, Pedro
p.74

F
FALCON, Marie p.52
FARAHANI, Poorya p.63
FELDER, Frank p.34
FELDHUSEN, Joerg p.77
FENG, Qianmei p.77
FERA, Marcello p.86
FERNANDEZ, Isabel p.62, 84
FERREIRA, Mirley p.32
FIEBIG, Siegfried p.70
FORS, Nashaat p.44
FOUMANI, Mehdi p. 49, 70
FRANK, Bjoern p.53, 81
FRANK, Moti p.57
FU, Xiuju p. 37, 61
FUCHS, Sylvain p.48
FUJII, Nobuzumi p.69
FUJIMOTO, Tetsushi p.32, 80
FUJIMURA, Shigeru p.41

G
GABORIT, Paul p.52
GAGLIARDI, Roberto p.31
GAO, Juhong p.60
GARCÍA, Nazario p.62
GARG, Rajiv Kumar p.60
GARRIDO, Aitor p.74
GEMBA, Kiminori p.51, 59, 75
GEPP, Michael p.73
GHADERI, Farid p.84
GHODRATI, Behzad p.46, 64
GIL, Esteban p.49
GIRARD, Marie-Agnès p.58
GOEHLICH, Dietmar p.58
GOH, Gerald Guan Gan p.69,
44
GOH, Rick Siow Mong p. 37,
61
GÓMEZ, Alberto p.85
GONÇALVES-COELHO,
Antonio p.74
GONEN, Amnon p.34
GONG, Dah-Chuan p.71

GONZALEZ CABRERA,
Nestor p.49
GOSWAMI, Suparna p.42
GOVENDER, Poobalan p.82
GRILO, Antonio p.36, 74, 76
GU, Xiuzhu p.47
GUNAWAN, Indra p. 49, 70
GUO, Peijun p.38
GUO, Wen-tao p.36
GUPTA, A D p.63
GUPTA, M. P. p.57
GUPTA, Suprakash p.35
GUTIERREZ, Guillermo p.49

H
HABIB, Md. Mamun p.43
HAIYAN, Wang p.60
HAKAMI, Hasan p.45
HALIM, Tony p.37
HAMANI, Nadia p.50
HANNOLA, Lea p.81
HARTO WIDODO, Kuncoro
p.50
HASEGAWA, Takuya p.75
HASSAAN, Hossam p.44
HAZRA, Jishnu p.76
HAZRATI ASHTIANI, Ladan
p.50
HE, Wenwen p.69
HEIMES, Heiner Hans p.43
HEINIMÖ, Jussi p.53
HENRIQUES, Elsa p.35
HEYDARI ALAMDARI,
Mohammadreza p.39
HIDAYAT, Trifenaus Prabu
p.31
HIDAYAT, Yosi Agustina p.60
HIGGINS, Peter p.86
HINSCH, Malte p.77
HIRUNYASIRI, Varavut p.53
HISJAM, Muhammad p.50
HO, Wei-chung p.45
HOMANN, Florian p.72
HOMCHALEE, Rojanee p.62
HON, Jau-Shin p.56
HONGSHUAI, Han p.60
HORN, Stefan p.73
HSIEH, Chia-lin p.45
HSIEH, Chung-Hsiao p.36
HSIEH, Shulan p. 85, 86
HSIUNG, Chih-Min p.73
HSU, Chiung-Wen p.73
HU, Kae Kuen p.39
HUANG, Cheng p.57
HUANG, George p.62
HUANG, Guangbin p.63
HUANG, I-Hsuan p.41
HUANG, Kexin p. 31, 72
HUANG, Shih-Miao p.56
HUANG, Szu Yin p.35
HUANG, Szu-Yin p.35
HUANG, Tai-Chi p.49
HUANG, Yuan p.70
HUANG, Zeyi p.77
HUHTALA, Merja p.52
HUYNH, Van-Nam p.36

I
IAMRATANAKUL, Supachart
p.38
IANNNONE, Raffaele p.50,
86
IBBOTSON, Suphunnika p.59
IBEAS, Asier p.68, 74
IBRAHIM, Yakubu p.86
IBRAHIM, Yousef p. 49, 70
IGARASHI, Hitoshi p.75
IIJIMA, Yu p.34
IKA RINAWATI, Dyah p.64

87

IMAM, Syeda Fahmida p.79
INOUE, Shinji p.46
INUIGUCHI, Masahiro p.34
ISHIDA, Shuichi p.43
ISHIDA, Yoshihisa p.50
IŞıK, Gurkan p.55
ISLAM, Shaiful p.43
ISMAIL, Kamariah p.60
ISRAELI, Uriel p.34
ISSAR, Siddhant p.62
ITOH, Kenji p.47
IWAMI, Shino p.32

J
JAENGLOM, Kamonmarn p.55
JAIN, Rakesh p.48
JAIN, Vipul p.63
JANGSETTHAGUL, Natthanun
p.71
JARDIM-GONCALVES, Ricardo
p.76
JASMIN FÜLLER, Kathrin p.68
JEON, Hyun Min p.74
JESCHKE, Sabina p.31
JHA, Ajay p.80
JI, Serena p.49
JIA, Lizhen p.53
JIANG, P. p.31
JIANG, Tzuu-Hwa p.56
JIANG, Zhibin p.82
JIANPING, Wu p.47
JIMENEZ, Víctor Javier p.44
JIN, Byungki p.56
JIN, Gangyu p.57
JOSEPH, O. A. p.70
JURICKA, Martin p.85

K
K KALRA, Prem p.47
KAJIKAWA, Yuya p.32
KAMMERL, Daniel p.42
KAMPKER, Achim p.43
KANG, Jia-Rong p.68
KANG, Randy p. 49, 69
KANG, Suk-yon p.67, 74
KANT, R. p.52
KAPOOR, Rahul p.53
KARA, Sami p.59
KARMAKAR, Netai Chandra p.35
KARVONEN, Matti p.52, 53
KARVONEN, Vesa p.52
KASEMSET, Chompoonoot p.41
KASPEREK, Daniel p.42, 68KÄSSI, Tuomo p.52, 53, 81
KAYIS, Berman p.59
KELLERBACH, Jens p.70
KERNSCHMIDT, Konstantin p.42
KHAJEH, Maryam p.82
KHAN, Manzur H. p.43
KHEMYONG, Pattarawan p.41
KHIEWNAVAWONGSA, Sorraya
p.38
KIELAROVA, Somlak
Wannarumon p.74
KIM, Byoung-seop p.67
KIM, G. W. p.56
KIM, Jae-hoon p.67, 74
KIM, Sam Yeon p.59
KING, Moritz p.41
KOLK, Alar p.53
KORAL-KORDOVA, Sigal p.57
KRCMAR, Helmut p.42, 68
KUANG, Fen p.46
KULKARNI, Prafulla p.83
KUMAR, Arun p.45
KUMAR, Pramod p.35
KUMAR, Pravin p.62
KUMAR, Vijaya p.40
KUNDU, Anirban p.63
KUNITH, Alexander p.58

88

KUSUMAWARDHANI,
Mayang p.77
KWON, Sanghyun p.56
KYUNG, Gyouhyung p.59

L
LAD, Bhupesh Kumar p.78
LAI, Hung Chih p.39
LAMBIASE, Alfredo p.86
LANDERS, Thomas p.60
LANKE, Amol p.64
LANZA, Gisela p.41
LAOSIRIHONGTHONG,
Tritos p.38
LE RICHE, Rodolphe p.58
LEE, Aloysious p.33
LEE, Carman Ka Man p.75
LEE, Chang-Hsing p.82
LEE, Jinho p.55
LEE, Ming Ha p.78
LEE, Ming-Gong p.82
LEE, Siang Guan p. 37, 86
LEEROJANAPRAPA,
Kanogkan p.37
LEI, Ningrong p.50
LEISTEN, Ingo p.31
LEKURWALE, Ramesh p.83
LESTARI, Fitra p.60
LEUS, Roel p.54
LEYER, Michael p.70
LI, Bing p.81
LI, Hui p.31
LI, Jianhong p.57
LI, Kai-Way p.35, 85
LI, Tieke p.63, 82
LI, Tuochen p.75
LI, Yanmei p.36
LI, Yan-Ru p.48
LI, Ying p.44
LI, Zheng Ping p.86
LI, Zhifeng p.49
LIAN, Zhaotong p.59, 66
LIANG, Yi-Hui p.76
LIAO, Gwo-Liang p.34
LIAO, Shu-hsien p.45
LIEN, Ching-Yu p.67
LIM, Chun Pei p.44
LIM, Jasmine Jiamin p.84
LIM, Ji Hyoun p.56
LIM, Roland p.33, 83
LIN, Chen-ju p.40
LIN, Chun-Cheng p.68
LIN, Gary C. p.71
LIN, Jhin-Yong p.71
LIN, Min-Der p.84
LIN, Tyrone T. p.36, 49
LINDEMANN, Udo p.41, 42,
50, 56, 61, 73
LITING, Hou p.60
LIU, Bo p.79
LIU, Chang p.64
LIU, Chao p.47
LIU, P. T. p.57
LIU, Xuan p.46
LIU, Yan-Chen p.45
LIU, Yiliu p.77
LOH, Han Tong p.67
LOHTANDER, Mika p.52
LOZANO, Jesús p.85
LU, Jiping p.49
LU, Sifei p.37
LU, Yu-Shyuan p.49
LUO, Guiming p.83
LUO, Shikai p.83

M
MA, Bin p.33
MA, Helen p.75
MA, Iat Cheng p.45
MA, Jinyi p.69

MA, Ji-Wei p.85
MA, Wen-Na p.71
MA, X. p.38
MA, Zhiyi p.79
MACCHIAROLI, Roberto
p.86
MACHADO, Jose p.65, 66
MACHADO, Virginia p.61, 84
MAGHFIROH, Meilinda
Fitriani Nur p.85
MAHADEVAN, B p.76
MAHAJAN, S K p.68
MAISENBACHER, Sebastianp.42, 68, 73
MAKINO, Yusuke p.43
MANALO, Marivic p.51, 67
MANALO, Romeo p.51, 67
MANN, Robin p.48
MARINS, Fernando p.66
MAURER, Maik p.42, 68, 72
MBOHWA, Charles p.49, 65,
66
MEDINA-BORJA, A. p.39
MEHDI, Firoozi p.33
MEHMANCHI, Erfan p.44
MEYLANI, p.64
MICAN RINCON, Camilo
Andres p.44
MICHAELIDES, Roula p.52
MICHAILIDOU, Ioanna p.56
MILIAN, Zdzisław p.33
MINATO, Nobuaki p.47
MIRANDA, Salvatore p.50, 86
MISHRA, Prerna p.63
MIZUTANI, Eiji p.54
MOHD IDRIS, Mohamad
Razif p.79
MOHD ROHANI, Jafri p.47
MOHD YUSOF, Sha'ri p.51
MOKOENA, Tshweu p.57
MONTAZERI, Faezeh p.82
MONTERREY, Manuel p.84
MOON, Seung Ki p.50, 59
MOORGAS, Kevin Emanuel
p.82
MOORMANN, Jürgen p.70
MORAVCIK, Oliver p.36
MORI, Junichiro p.32
MORTON, Susan p.52
MOSER, Raphael p.41
MOURAO, Antonio p.74
MOUSAVI, S. M. p.33, 75
MUELLER, Egon p.48, 70, 72
MÜNNICH, Mario p.70
MÜNZBERG, Christopher
p.42
MURAKAMI, Takahiro p.50
MUTINGI, Michael p.49, 65,66MÜTZE-NIEWÖHNER,
Susanne p.39, 39

N
NAGANO, Hiroyuki p.43
NAKAJIMA, Kazuya p.69
NAKATA, Yoshifumi p.32, 80
NARAHARI, N S p.40
NARKHEDE, Balkrishna
Eknath p.68
NEJADI, Farhad p.51
NEL, Andre L p.73
NG, Kam-Choi p.44, 69
NGUYEN, Ha p.84
NGUYEN, Nguyen Thi Duc
p.80
NGUYEN, Thi Le Huyen p.59
NGUYEN, Tran p.84
NGUYEN, Vivi Thuy p.72
NIAKI, S. T. A. p.66
NISHI, Tatsushi p.34, 50, 71
NIU, Baozhuang p.34
NIU, Ben p.38, 75

NIU, Han-Jau p.57
NIZAM, Muhammad p.43
NOVRISAL, Dimas p.50

O
OGAWA, Hiromitsu p.50
OH, Hyung Sool p.59
OHGA, Keisuke p.71
OJADI, Frank p.48
OJANEN, Ville p.53, 81
OJIMA, Keiji p.34
OLIVEIRA, Rui p.65
OMAR, Mohamed K. p.54
OMAR, Nurlyana p.47
ONGKOWIJOYO, Citra p.62
OPRESNIK, David p.39
OUALI, Anis p.42

P
PALEI, Sanjay Kumar p.35
PAMBUDI, Ainu p.66
PANNAKKONG, Warut p.68
PANT, Rakesh p.37
PAREEK, Ankur p.48
PARIKA, Wipada p.75
PARK, Kyoung Jong p.59
PARK, Taezoon p.59
PARRENO, Jose p.84
PARTHANADEE, Parthana
p.68
PATHIK, Bishwajit Banik p.43
PATIL, Sachin p.52
PATTNAIK, Birajashis p.64
PEÇAS, Paulo p.35
PEICHEN, Hsuan p.47
PEI-LEE, Teh p.35
PENG, Rui p.79
PENG, Yan p.61
PEREZ, Jessica p.44
PERUZZINI, Margherita p.39
PERVAIZ KHALID, Ahmed
p.35
PETERS, Konrad p.68
PETRAUS, Bernd p.72
PHAM, Manh Tung p.37
PHAM, Van Kien p.59
PHERMPHOONWATANASUK, Suphachet p.85
PHUMCHUSRI, Naragain
p.67
PIBOONRUGNROJ, Pairach
p.62
PILLAY, Neelendren p.82
PING, Enshun p.53
PINO, Raul p.85
PITIOT, Paul p.76
PIVODOVA, Pavlina p.49
POKORA, Ondrej p.78
POLZONETTI, Alberto p.31
PONGCHAROEN, Pupong
p.75
PONGPANICH, Pongtiwa
p.84
PONNAMBALAM,
Loganathan p.37, 61
PONTE, Borja p.85
PONTES, Gabriel p.65
POON, Kin p.42
POPKOV, Alexey p.55
POPKOV, Yuri p.55
PORTELA, Carlos Filipe p.66
PRADHAN, B p.58
PRADUJPHONGPHET,
Prapasson p.74
PRAKASH, Gyan p.37
PRASHANT, V p.40
PRETORIUS, Jan Harm p.57,
72
PRETORIUS, Leon p.72
PRIORE, Paolo p.62

88

PROMBANPONG, Suksan p.71
PRZYBYSZ, Philipp M. p.39
PUASAKUL, Kritsada p.54
PUENTE, Javier p.62, 85
PULAT, Babur p.60
PULAT, Pakize p.60
PURWANGGONO, Bambang p.64
PUSPITASARI, Diana p.64
PUTRI, Dyah Nurrahmawati Eka
p.50
PUUSTJÄRVI, Juha p.65
PUUSTJÄRVI, Leena p.65

Q
QIAO, Lin p.75
QIU, Xuan p.62

R
RACHMAT, Haris p.83
RAJPUT, Sandeep p.80
RAMACHANDRAN, K P p.78
RAMASWAMY, Rameshkumar
p.78
RANAEI, Samira p.53
RANNACHER, Alexander p.39
RASMIDATTA, Sothaya p.85
RATHOD, Vijay p.46
RATHORE, Ajay Pal Singh p.46, 48
RATNAYAKE, R.M. Chandima
p.40, 64, 77, 78, 79, 82
RAUT, D.N. p.83
RAWANGWONG, Surasit p.55
RAWAT, Manish p.78
RAY, Amitava p.58
RAZA, Jawad p.79
REDI, Anak Agung Ngurah
Perwira p.85
REIK, Alexander U. p.41
REN, Zheng p.61
RHIE, Y. L. p.56
RHIU, Ilsun p.56
RIEDEL, Ralph p.48, 72
RIEMMA, Stefano p.50
RODENHAUSER, Timon p.43
RODGERS, Mark p.34
RODRIGUES, Rui p.66
ROSE, Pai p.76
ROSILLO, Rafael p.84
ROTH, Michael p.42
ROY, Arup p.63
ROY, Daniel p.84
ROY, Manish p.58
ROZIER, D. p.58
RUA, Fernando p.66
RUBASZEWSKI, Julie p.48
RUMANTI, Augustina Asih p.31,
31
RUNGI, Mait p.48, 53, 85

S
SA SILVA, Ana Eduarda p.35
SACHDEVA, Anish p.60
SADEH, Arik p.57
SAEDUDIN, Rohmat p.73
SAEED OSMAN, Mojahid p.54
SAENGSATHIEN, Arjaree p.61
SAKAL, Peter p.36
SAKATA, Ichiro p.32, 69
SAKULNGAM, Namtip p.51
SALAZAR, Maria p.65
SALEHI, Nima p.33
SAM, Kin Meng p.45
SAMARAKOON, Samindi p.64, 79
SAMARANAYAKE, Premaratne
p.38
SANTOS, José p.36
SANTOS, Manuel p.65, 66
SAWADA, Kiyoshi p.55

89

SCHAEFFLER, Thomas p.73
SCHLICK, Christopher M.
p.39, 77
SCHMIDT, Edie p.38
SCHMIDT, Edith p.60
SCHMIDT, Michael p.50
SCHMIDT, Stefan p.80
SCHRÖDER, Stefan p.31
SCHUH, Günther p.32
SCOTT, Regena p.60
SEESUAYSOM, Wipada p.75
SEIFBARGHY, Mehdi p.50
SELCUKLU, Saltuk p.34
SENEVIRATNE, A.M.N.D.B.
p.82
SESSOMBOON, Weerapat
p.62
SHADROKH, Shahram p.44
SHANGGUAN, Violet p.69
SHANKAR, R. p.58
SHANKAR, Ravi p.57
SHANKER, Kripa p.83
SHAO, Jing p.71
SHARMA, R R K p.80
SHEHATA, Mostafa p.44
SHEN, Lijuan p.46
SHI, Jianming p.62
SHI, Ying p.59
SHI, Zhuoran p.61
SHIBASAKI, Hiroki p.50
SHIM, Sung p.45
SHIMIZU-TANAKA, Hideki
p.32, 80
SHINOHARA, Sayaka p.32,
80
SHIVAKOTI, Ishwar p.58
SHOJAEI, Sayyedeh Nastaran
p.66
SHOU, Yongyi p.44
SHU, Yi-chun p.40
SHUI, July p.69
SIADAT, Ali p.33, 75
SIDDIQUE, Zahed p.60
SILVA, Ă�lvaro p.66
SINRAT, Sittichok p.84
SINTHUPINYO, Sukree p.51
SIRI, Atikhom p.45
SIROVETNUKUL, Ronnachai
p.41
SISKOVA, Veronika p.85
SLAVENSKY, Andreas p.72
SMIDA, Lubomir p.36
SMUTKUPT, Uttapol p.41
SOEMARDI, Tresna p.50
SOESATYO, Warih
Puspitasari p.66
SOMBOONWIWAT, Tuanjai
p.71
SOMMER, Anita Friis p.72
SOMSUK, Nisakorn p.84
SONG, Joobong p.56
SOPADANG, A. p.63
SPANGENBERG, Felix p.58
SRIDHARAN, R p.70
SRIVORAVILAI, Nopporn
p.85
STADNICKA, Dorota p.78
STEENWEG, Ragna p.68
STEGER-JENSEN, Kenn p.72
STRANZENBACH, Robert
p.39
STRICKER, Nicole p.41
STULOVA, Valeria p.48
STURM, Flavius p.39
SU, Chao-Cheng p.35
SU, Chuan-Jun p.57
SUBRAMANIAN,
Nachiappan p.32, 64
SUBRAMANYA, K N p.40
SUKHOTU, Vatcharapol p.38
SUKMA ATMAJA, Denny
p.83
SUMARGO, Seto p.60

SUMBWANYAMBE, Mbuyu
p.73
SUN, Chia-Chi p.56
SUN, Jianguang p.53
SUNG, Hsiu-Te p.57
SUPPIAH, Yasothei p.54
SUSANTY, Aries p.64
SUTOPO, Wahyudi p.43, 50,
60
SUZUKI, Takayuki p.59
SVETINOVIC, Davor p.42
SYUE, Jhih-Cian p.86

T
TAISCH, Marco p.39, 71
TAKAHASHI, Satoru p.34
TALLA NOBIBON, Fabrice
p.54
TAMURA, Yoshinobu p.46
TAN, Chin Sheng p.37
TAN, Puay Siew p.37, 84, 86
TAN, Runhua p.31, 53
TAN, Yan Weng p.37
TANAKA, Ryo p.50
TARIQ, Zaheer p.55
TASHIRO, Hisato p.69
TAVAKKOLI-MOGHADDA
M, Reza p.75
TAVAKOLI, Alireza p.36
TAYYAR, Shadan p.84
TEEKASAP, Sombat p.84
TEJPAL, Gaurav p.60
TEMIYASATHIT, Chivalaip.58, 71
TERVONEN, Hannu p.53
TERVONEN, Nina p.81
THADDEUS, Yudi p.60
THAITHATKUL, Phathinan
p.58
THAIUPATHUMP, Trasapong
p.45
THAWESAENGSKULTHAI,Natcha p.51
TICKLE, Matthew p.48
TOH, MH p.83
TOMMELEIN, Iris p.50
TONG, Joo Chuan p.37
TOTH, Attila-Peter p.42
TRAUTMANN, Norbert p.44
TRIPATHY, Sushanta p.64
TRUCCO, Paolo p.47
TUNG, Chien-Ming p.39
TURNER, Sarina p.71

U
UEDA, Kenji p.34
UEHARA, Hirotoshi p.43
UENISHI, Keisuke p.43
UMMAH, Kholifatul p.66
ÜNLÜYURT, Tonguc p.55
USHIKUBO, Masayoshi p.69

V
VAEGS, Tobias p.31
VAHDANI, Behnam p.75
VALIS, David p.77, 78
VALLIAPPAN, Ram p.83
VAN DER MEER, Robert p.37
VAN WOENSEL, Tom p.33
VAN WYNGAARD, C. Jurie
p.72
VAN WYNGAARD, Jurie p.57
VAREILLES, Elise p.52, 76
VARIS, Juha p.52
VEDADI, Ahmad p.82
VILKO, Jyri p.52
VISHWAKARMA, Rajkumar
p.47, 58

VITAYASAK, Srisatja p.75
VOGEL-HEUSER, Birgit p.42
VON SAUCKEN, Constantin
p.56
VOSSEN, R. p.31

W
WAHYUNI, Nuraida p.50
WALLS, Lesley p.37
WAN, Mengya p.79
WANG, C. M. p.81
WANG, Chien Wen p.35
WANG, Dunxing p.45
WANG, Feng Yu p.83
WANG, Guoxin p.49
WANG, Haoqi p.74
WANG, Kai p.74
WANG, Lei p.82
WANG, Pidong p.79
WANG, Ping p.31
WANG, Shao-Hua p.51
WANG, Shijin p.71
WANG, Yang p.33
WANG, Zhaoxia p.37, 61
WANG, Zhen p.64
WANG, Zhijing p.85
WATANABE, Yushin p.50
WATTANAPONGSAKORN,
Naruemon p.34, 77
WATTANAPORNPROM,
Warin p.82
WATTANAPORNPROM,
Watcharee p.63, 82
WATTANUTCHARIYA,
Wassanai p.65
WEN, Hsiao-Ching p.85
WENBIN, Leow p.61
WICHAISRI, Sooksiri p.63
WIKNER, Joakim p.38
WILKE, Joerg p.63
WILLIS, Richard p.70
WIMALACHANDRA,
Dinush p.53, 81
WINDASARI, Nila Armelia
p.76
WIRATMADJA, Iwan
Inrawan p.31
WOLFENSTETTER, Thomas
p.42
WONG, Kin Meng p.37
WONG, Seng Fat p.41
WONG, T. C. p.65
WU, Hsin-Yen p.67
WU, Jianjun p.64
WU, Kan p.33
WU, Shilang p.64
WU, Tain-Fung p.76

X
XIANG, Wenwen p.44
XIAO, Xun p.78
XIE, Hong p.85
XIE, Hui p.85
XIE, Zheng p.74
XU, Bingbing p.81
XU, Feng p.80
XU, Gangyan p.62
XU, Haiyan p.37
XU, Laura Xiao Xia p.33, 63,
83
XU, Wei p.66
XU, Zhengguo p.77

Y
YADAV, Om Prakash p.46
YADEGARI, Hassan p.61
YAGHOUBI, Saeed p.54
YALAOUI, Alice p.48

89

YAMADA, Shigeru p.46
YAMASAKI, Yasuaki p.51
YANG, JaeKyung p.74
YANG, Jun p.79
YANG, Kelly p.69
YANG, Ming-Yu p.76
YANG, Wen-Zhe p.48
YANG, Zhibing p.49
YAO, Xifan p.66
YAP, Wen-Jiun p.35
YE, Zhi-Sheng p.46, 78
YEE, Gabriel p.86
YEH, Shuang-Fu p.84
YEN, Hsin-Yi p.56
YIN, Xiao Feng p.37, 61
YIN, Yue p.80
YOU, Xiongxiong p.64
YU, ByoungJin p.74
YU, Kun-Ming p.82
YU, Lisa p.49, 69
YU, Vincent F. p.85
YU, Xiangzhen p.80
YU, Xiaonan p.49
YU, Yao Cheng p.39
YU, Yugang p.42
YU, Zhuliang p.42
YUAN, Biao p.82
YUAN, Xue-Ming p.63
YUN, Myung Hwan p.56

Z
ZAK, Libor p.77
ZANETTI, Christian p.39
ZHANG, Allan Nengsheng p.84
ZHANG, David p.61
ZHANG, Guoqing p.71
ZHANG, H.G. p.31
ZHANG, Hong-Chao p.83
ZHANG, Jianguo p.79
ZHANG, Jie p.34
ZHANG, Junxiu p.45
ZHANG, Li p.42
ZHANG, Linda p.42, 76
ZHANG, Liyi p.49
ZHANG, Mimi p.78
ZHANG, Shu Zhu p.75
ZHANG, Xiaodi p.31
ZHANG, Xu p.74
ZHANG, Zhe p.33
ZHAO, Dong p.47
ZHAO, Ning p.33
ZHAO, Xiaoting p.80
ZHAO, Xibin p.83
ZHAO, Yu p.46, 79
ZHENG, Yi p.41
ZHENG, Zhanxing p.31
ZHONG, Xin p.67
ZHOU, Juxiang p.80
ZHOU, Xue Fei p.85
ZHU, Hailing p.73
ZIMMER, Inna p.31
ZUTSHI, Aneesh p.76

9090

Conference Information & Services
Secretariat – Meeting Matters International Pte Ltd					Email: info@ieem.org

Cheng-Hoon KHOO		
Conference Manager				
HP: (65) 9819 9462
Irene GOH			Operations					HP: (65) 9125 9090
Quentin PAN			Technical Program Coordinator			
HP: (65) 9125 9191
Agnes CHONG			
Logistics & Speaker Manager			HP: (65) 8181 3416

EMERGENCY SERVICESCREDIT CARDS

Police (General Emergency Call): 191
Tourist Police: 1155
Fire: 199
Emergency Medical Services (EMS): 1669
Tourist Assistance Center: 02-281-5051

American Express: 02-273 0022
Eurocard/Mastercard: 001-800-118 870 663
VISA: 001-800-441 348 5

TRANSPORT SERVICES
Bangkok Airport Link:
This Aiport Rail Link connects downtown Bangkok with Suvarnabhumi International Airport. There are three Airport Rail
Link lines – two SA Express Lines and the SA City Lines. The Express Lines are faster as they each have only 2 main stops.
The SA City Lines take longer but are more affordable. Depending on which route you take, your journey will last about
15 – 30 minutes.
Bangkok MRT:The Mass Rapid Transit network (MRT) has 18 stations and stretches from Hua Lamphong in the South to Bang Sue in thenorth. Trains arrive at intervals of 5-7 minutes and connect with the BTS Skytrain at Sukhumvit and Silom stations.
BTS Skytrain:This is one of the main modes of transport throughout Bangkok. There are two BTS Lines, known as the Silom Line and theSukhumvit Line. The Silom Line runs west to south, while the Sukhumvit Line runs from north to east. Please note that thetrains can become quite crowded during peak hours, so you may want to avoid travelling by train during these timings.
Taxi:
Travelling by taxi is the easiest and most convenient way to move around Bangkok. Available taxis are recognizable by theirglowing red vacancy signs. However, do bring a map with you in case of language barriers between you and the driver.

91

Conference ToursBANGKOK TEMPLES & CITY TOUR

Tuesday, 10 December, 2013 (1:00PM – 4:00PM)
USD40 / SGD50 / THB1,250 per person
Price Includes: English Speaking Guide, Entrance Fee to all places mentioned in the tour description, Bottle Water onvehicle, Transportation to/from hotel

This tour will bring you to three of the most distinguished temples in Bangkok after the most prominent ones like the
Emerald Buddha Temple at the Grand Palace. Wat Trimitr, the temple of the Golden Buddha. The statue is made from solidGold weighing 5.5tons. It is a fine example of Sukhothai art and was discovered by chance from a layer of stucco during
construction of the temple. Passing through Chinatown your next stop is Wat Po, the temple of the reclining Buddha whichis the largest and oldest in Bangkok. Your last stop is at Wat Benchamabopit or the marble temple.

DINNER CRUISE BY TRADITIONAL RICE BARGE

Tuesday, 10 December, 2013 (6:00PM – 9:00PM)
USD70 / SGD80 / THB2,200 per person
Price Includes: Transportation to/from hotel — cruise pier, Buffet Dinner on Board Cruise (Excludes beverage/bar)

Relax in modern comfort while you slowly cruise along the River of Kings – Chao Phya River passing the temple of dawn
(Wat Arun), Grand Palace and life along the river as it slowly starts to unwind after a busy day. You will be served a Thaicuisine catered by the 5* hotel on this dinner cruise. A traditional Thai classical music will be played throughout the evening
for your enjoyment.

CHAO PHRAYA DINNER CRUISE

Wednesday, 11 December, 2013 (6:00PM – 9:00PM)
USD50 / SGD60 / THB1,500 per person
Price Includes: Transportation to/from hotel — cruise pier, Buffet Dinner on Board Cruise (Excludes beverage/bar)

Treat yourself to a memorable night on board one of Bangkok’s most luxurious restaurant boats. A welcome Thai
Traditional Dance will start the night before you treat yourself with the sumptuous buffet featuring Thai andInternational cuisine. After your meal, enjoy the house band that will keep you entertained throughout the night until you
return back to the pier.

AYUTTHAYA EXPERIENCE

Friday, 13 December, 2013 (7:30AM – 4:30PM)
USD70 / SGD80 / THB2,200 per person
Price Includes: English Speaking Guide, Return transportation — land and water as mentioned in the program,
Entrance fees to all places visited mentioned in the program, Meal(s) as mentioned in the program exclude beverage

Located 86 kilometres north of Bangkok Ayutthaya was Thailand’s capital from 1350 to 1767 until it was invaded by Burma.
It is full of ancient relics and historical temples and monuments ruins which are still quite spectacular. You will be visiting
Summer Palace of Bang Pa-In. The palace was originally used by the royal family as a summer retreat during Ayutthaya
Period. It was destroyed during the downfall of Ayutthaya and was restored by the fourth king of Rattanakosin Kingdom(current Chakri Dynasty of Thailand). Inside the palace, there are many impressive buildings and gardens, derived fromthe East and West cultures.

International Buffet Lunch will be provided on board of the cruise (joined cruise) which will take you back to Bangkok
during this 2.5 hours cruise. Sit back and relax during this cruise journey while catching a glimpse of the river life along theway.
COMPANY VISITS

Friday, 13 December, 2013 (9:00AM – 12:00PM)
USD20 / SGD25 / THB650 per person
Price Includes: Transportation to/from hotel and Refreshments(A) Company Visit to PTTPTT Public Company Limited (or PTT) and its subsidiaries operate a comprehensive petroleum and petrochemicalbusiness along an entire supply chain of the petroleum business. This includes exploration and production of crude oil,managing crude oil tankers, operating refineries, petrochemical plants, petroleum terminals and transmission pipelines, service
station network as well as conducting international trading. PTT is one of the largest corporations in the country and also
the only company from Thailand that is listed in the Fortune Global 500 companies. In 2012, PTT won 89 awards, prestigious rankings in operational excellence, and certificates from 44 national and international institutions.
(B) Company Visit to CP-All
CP All Public Company Limited was established in 1988, which is the flagship company of the Charoen PokphandGroup’s marketing and distribution business. CP-All’s main business is operating convenience stores under the “7-Eleven”
trademark in Thailand. Its competitive advantage lies in its extensive store network and with outlets in prime locations
scattered across the country. Modern management and information technology systems further enhancecustomer satisfaction by offering efficient and speedy services. With its well-managed
regional
distribution
centers,
itenhancestheefficiencyofthesupplychain
system which supports timely and efficient product distribution to its stores to serve
customers’ needs in a timely manner.

92

In & Around Bangkok
Temples in the City

Local Delicacy

Floating Market

Beyond Bangkok

Bangkok is renowned for its beautiful Buddhist temples, the beautyof the architecture and fine craftsmanship forms a unique part of thecapital’s heart and soul. “Wat Phra Kaeo” (Temple of the Emerald
Buddha) is a royal temple of national significance and remains amajor tourist attraction. Next to it, “Wat Pho” (Temple of the Reclining
Buddha) is one of the oldest and largest Buddhist temples in
Bangkok. Most prominent feature on west bank of Chao Phraya riverwould be “Wat Arun” (Temple of Dawn), which is decorated withtiny pieces of coloured glass and Chinese porcelain placed delicately
into intricate patterns.

Apart from restaurants, you will find food almost anywhere in
Bangkok, rows of food carts along the streets, pavement eateries
with fold-up tables and chairs, and in the smallest of ‘Sois’ (lanes).
Thai Street Food provides convenience and relatively affordable
to the locals. Head to Chinatown (also known as “Yaowarat”) for
the well-known authentic Thai local style cuisine and experience
communal eating surrounded by traffic and urban life.

Floating markets offer fascinating cultural experiences as well as
glimpses into the local way of life of a bygone era. Narrow canals
are filled with flat wooden boats piled high with tropical fruit andvegetables, fresh, ready-to-drink coconut juice and local food cookedfrom floating kitchens located right on the boat. Damnoen Saduak
is the most popular floating market in Thailand. An early morning
start is worth to avoid the heat and catch Damnoen Saduak at its
liveliest.

Looking for an escape from the city buzz of Bangkok? You may
explore many places outside Bangkok in under an hour or two. Oneof the popular beach-resort destinations would be Pattaya, which isa two hour drive from Bangkok. With wide array of water sports
and activities, the lively beach town is able to draw hundreds ofthousands of visitors each year. For more laid-back alternative, one
would choose to visit Hua Hin where you get to enjoy spectacularsunrises and beautiful, powdery sand beach.

93Map of Bangkok

Co-organizers

Sponsors

Secretariat

A World Scientiﬁc Associate