IEEM 20142014 IEEE International Conference on
Industrial Engineering and Engineering Management

9 - 12 December 2014, Malaysia
www
.IEE
M.o
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Organized By

1IEEE Malaysia Section
IEEE TMC Malaysia Chapter
IEEE TMC Hong Kong Chapter

2

Contents
Welcome Message					1Organizers & Committees				2Session Information
Floor Plan							4Program Overview					5Keynote Presentations				7Speaker Guide 					10Session Schedules						11Abstracts							2774Author Index							Services
Conference Information & Services		
77
Transportation in Kuala Lumpur		
78
10 Things to Do in Kuala Lumpur		
79
Beyond Kuala Lumpur				81IEEM 2014 Program Overview
Tuesday
KL City Orientation Tour
9 December
Conference Registration
Welcome Reception
KL By Night Tour
SUNWAY RESORT HOTEL & SPA
Persiaran Lagoon, Bandar Sunway
46150 Petaling Jaya
Selangor Darul Ehsan
Malaysia
Tel: +60 3 7492 8000
Email: enquirysrhs@sunwayhotels.com
Website: http://kualalumpur.sunwayhotels.com/

3

Wednesday
10 December

Conference Registration
Official Opening
Keynote Presentations
Technical Sessions

Thursday
11 December

Conference Registration
Technical Sessions
Conference Banquet

Friday12 December

Technical Visit to PKT Logistics
Countryside Tour

Welcome Message
Welcome to Malaysia and the 2014 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM2014).
IEEM2014 is the ninth in the series of IEEM conferences since 2006. It is the first time the conference is jointly
organized by IEEE Technology Management Council Malaysia and Hong Kong Chapters. The conference issupported by Monash University and the City University of Hong Kong.
The strength of IEEM conference is its high conference standard and diversity, bringing together researchers andpractitioners from different branches of industrial engineering and engineering management from around theworld. In keeping a high standard as for the past IEEM series, each paper went through a rigorous review process.
IEEM2014
received almost 550 submissions and each paper was sent to 3-5 reviewers. The acceptance decisions were made basedon at least two consistent recommendations. To represent the global diversity, we have an outstanding program,including 20 topics presented in oral and poster sessions, as well as a distinguished set of keynote speakers:
Hean Teik Chuah, President, Universiti Tunku Abdul Rahman (UTAR), Malaysia, will present “Science, Engineering,Technology & Innovation (SETI) Education for Economy Transformation.”
Tariq S Durrani, Research Professor, University of Strathclyde, United Kingdom, will discuss “Science, Engineering,
Innovation and Competitiveness - An international assessment and comparison.”Thomas L. Magnanti, President, Singapore University of Technology and Design (SUTD), Singapore, will highlight“Educating Technology Leaders for Design-Driven Innovation.”
The organising committee is very grateful to Professor Hean Teik Chuah, Professor Tariq S Durrani and Professor
Thomas L. Magnanti to deliver their keynote speech at this conference. We would like to thank all the authors andparticipants for their contribution and support. We would also like to acknowledge the contribution by technicalprogramme committee members and the reviewers for their help in the review process.
We hope you enjoy the conference and the cultural and scenic experiences in Malaysia.

Ghauth JASMON
General Chair
International University of Malaya-Wales
Malaysia

Pervaiz K AHMED
Organizing Chair
Monash University
Malaysia

Pei-Lee TEH
Program Chair
Monash University
Malaysia

1

Roger JIAO
Organizing Chair
Georgia Institute of Technology
USA

Min XIE
Program Chair
City University of Hong Kong
Hong Kong SAR

Organizers & Committees
General Chair
Ghauth JASMONInternational University of
Malaya-Wales, Malaysia
Organizing Chairs
Pervaiz K AHMED
Monash University, Malaysia
Roger JIAO
Georgia Institute of Technology, USA
Program Chairs
Pei-Lee TEH
Monash University, Malaysia
Min XIE
City University of Hong Kong,
Hong Kong SAR
Organizing Committee
Dianne Lee-Mei CHEONG
Universiti Teknologi MARA, Malaysia

Usha ANANTHAKUMAR
Indian Institute of Technology
Bombay, India

Md. Mamun HABIB
Universiti Utara Malaysia (UUM),
Malaysia

Ana Paula BARROSO, UNIDEMI
Faculty of Science and Technology,
New University of Lisbon, Portugal

Rika Ampuh HADIGUNA
Andalas University, Indonesia

Nadjib BRAHIMI
University of Sharjah,
United Arab Emirates
Ayon CHAKRABORTY
Indian Institute of Management
Tiruchirapalli, India
Paul CHANG
National Changhua University of
Education, Taiwan
Bing CHEN
Northwestern Polytechnical
University, China

Shin-Guang CHEN
Edwin Cheung
Tungnan University, Taiwan
Hong Kong Institute of Vocational
Education (Tuen Mun), Hong Kong SAR Kuan Eng CHONG
Universiti Teknikal Malaysia Melaka,
Ching Chieh KIU
Malaysia
UCSI University, Malaysia
Jui-Sheng CHOU
Carman Ka Man LEE
National Taiwan University of
The Hong Kong Polytechnic University, Science and Technology, Taiwan
Hong Kong SAR
Thierry COUDERTChien-Sing LEE
Univ Toulouse ENIT-LGP, France
Universiti Tunku Abdul Rahman,
Malaysia
Stefan CREEMERS
Rajasvaran LOGESWARAN
Nilai University, Malaysia
Technical Program Committee
Dotun ADEBANJO
University of Greenwich, United
KingdomMichel ALDANONDO
Univ Toulouse Mines Albi, France
Luciana ALENCAR
Federal University of Pernambuco,
BrazilImad ALSYOUF
University of Sharjah, United ArabEmirates
Teresa ALVAREZ
University of Valladolid, Spain

IESEG Management School, France

Siana HALIM
Petra Christian University, Indonesia
Takashi HASUIKE
Osaka University, Japan
Jishnu HAZRA
Indian Institute of Management, India
Qingpei HU
Chinese Academy of Science, China
Chi-Cheng HUANG
Aletheia University, Taiwan
Chin-Yu HUANG
National Tsing Hua University, Taiwan
Supachart IAMRATANAKUL
Kasetsart University, Thailand
Shinji INOUE
Tottori University, Japan
Raja JAYARAMAN
Khalifa University, United Arab Emirates
Yangjian JIZhejiang University, China
Minghai JIAO
Northeastern University, China
Mingzhou JIN
University of Tennessee, United States

Yves DE SMET
Université libre de Bruxelles, Belgium Yuya KAJIKAWA
Tokyo Institute of Technology, Japan
Laurent GENESTE
Parminder Singh KANG
Univ Toulouse ENIT-LGP, France
De Montfort University, United Kingdom
Poobalan GOVENDER
Chompoonoot KASEMSET
Durban University of Technology,
Chiang Mai University, Thailand
South Africa
Xiuzhu GU
Tokyo Institute of Technology, Japan

Soo Beng KHOH
CREST, Malaysia

Somlak Wannarumon KIELAROVASuprakash GUPTA
Indian Institute of Technology (BHU), Naresuan University, Thailand
India
Chien-Liang KUO
Chinese Culture University, Taiwan
Guillermo GUTIERREZ
Instituto Tecnológico de Morelia,
MexicoJinho LEE
Korea Naval Academy, South Korea

2Organizers & Committees
Ming-Gong LEE
Chung Hua University, Taiwan
Chun-Cheng LIN
National Chiao Tung University,
TaiwanChu-Ti LIN
National Chiayi University, Taiwan
Jun LIN
Xian Jiaotong University, China
Tyrone T. LIN
National Dong Hwa University,
TaiwanGyan PRAKASH
Indian Institute of Information
Technology and Management, India
Suksan PROMBANPONG
King Mongkut’s University ofTechnology Thonburi, Thailand
Kit Fai PUN
University of the West Indies, Trinidad
and Tobago

S. SYAFIIE
University Putra Malaysia, Malaysia
Fabrice TALLA NOBIBONFedEx, Belgium
Yoshinobu TAMURA
Yamaguchi University, Japan
Purit THANAKIJKASEMKing Mongkut’s University ofTechnology Thonburi, Thailand
Norbert TRAUTMANN
University of Bern, Switzerland

Weidong LIN
Temasek Polytechnic, Singapore

Ralph RIEDEL
Chemnitz University of Technology,
Germany

Yuan-Jye TSENG
Yuan Ze University, Taiwan

Bor-Shong LIU
St. John’s University, Taiwan

Fernando ROMEROUniversity of Minho, Portugal

David VALIS
University of Defence, Czech Republic

Yiliu LIU
Norwegian University of Science andTechnology, Norway

Mojahid SAEED OSMAN
King Fahd University of Petroleum andMinerals, Saudi Arabia

Yonggui WANG
University of International Business andEconomics, China

Mei-Chen LO
National United University, Taiwan

Tomoko SAIKI
Tokyo Institute of Technology, Japan

Gede Agus WIDYADANAPetra Christian University, Indonesia

Huitian LU
South Dakota State University,
United States

Kin Meng SAM
University of Macau, China

Seng Fat WONG
University of Macau, Macau

Jose MACHADO
University of Minho, Portugal
Virginia MACHADO
UNIDEMI, FCT-UNL, Portugal
Romeo MANALO
Manila Electric Company, Philippines
Lars MOENCH
University of Hagen, Germany
Wasawat NAKKIEW
Chiang Mai University, Thailand
Ville OJANEN
Lappeenranta University ofTechnology, Finland

Premaratne SAMARANAYAKE
University of Western Sydney, Australia
Ilias SANTOURIDISTEI of Larissa, Greece
Kiyoshi SAWADA
University of Marketing andDistribution Sciences, Japan
Mahmood SHAFIEE
School of Applied Sciences, Cranfield
University, United Kingdom
Ahm SHAMSUZZOHA
University of Vaasa, Finland
Ali SIADATArts et Metiers ParisTech, France

Selma OLIVEIRA
University of São Paulo, Brazil

Ronnachai SIROVETNUKULMahidol University, Thailand

Samia OURARI
The Algerian Centre for Developmentof Advanced Technologies (CDTA),
Algeria

Stuart SO
The University of Queensland, Australia

Taezoon PARK
Soongsil University, South Korea

3

Jennifer PERCIVAL
University of Ontario Institute ofTechnology, Canada

Harm-Jan STEENHUIS
Department of Management, Eastern
Washington University, United States

Zhengguo XU
Zhejiang University, China
Bingwen YAN
Cape Peninsula University ofTechnology, South Africa
Jaekyung YANG
Chonbuk National University,
South Korea
QZ YANG
Circular Economy Research Centre,
China
Norio YOSHIDA
University of Toyama, Japan
Cai Wen ZHANG
School of Business, Sun Yat-sen
University, China
Linda ZHANG
IESEG School of Management, France
Xu ZHANG
Beijing Institute of Technology, China

Meeting Rooms (Venue Floor Plan)Plenary Sessions and Lunch – Level 15

KeynoteLagoon 1

Buffet Lunch Venue

Lagoon 3

Conference Banquet(11 Dec 2014)

Lagoon 3

Technical Sessions – Level 10 Meeting Rooms

Technical Sessions
Poster Session (11 Dec 2014)

Jamaica, Cancun, Kay West,
Caymans (1,2,3,4), Casablanca
Jamaica4

Program Overview
Time

Tuesday, 9 December 201408:30 13:30

KL City Orientation Tour
Ticketed Event, Please present ticket to board tour
(Help Desk Opens at 07:30; Closes 08:30)

14:00 17:30

Conference Registration – Foyer (Level 10)

15:30 17:30

IEEM2014 Welcome Reception (Please see registration desk)

18:00 23:00

KL By Night Tour
Ticketed Event, Please present ticket to board tour
(Help Desk Opens 17:00; Closes 18:00)

Time

Wednesday, 10 December 2014

07:30 08:50

Conference Registration - Foyer (Level 10)

Room

Lagoon 1 Ballroom, Level 15

08:50 09:00

Opening Ceremony (Lion Dance)

09:00 09:45

Conference Opening

09:45 10:30

Keynote I“Science, Engineering, Technology & Innovation (SETI) Education for Economy Transformation”
Hean Teik Chuah
President, Universiti Tunku Abdul Rahman (UTAR), Malaysia

10:30 11:00

Coffee/Tea Break – Foyer (Level 10)

Room

Lagoon 1 Ballroom, Level 15

11:00 11:45

Keynote II“Science, Engineering, Innovation and Competitiveness - An international assessment andcomparison”
Tariq S Durrani
Research Professor, University of Strathclyde, United Kingdom

11:45 12:30

Keynote III“Educating Technology Leaders for Design-Driven Innovation”
Thomas L. Magnanti
President, Singapore University of Technology and Design (SUTD), Singapore

12:30 13:30

Lunch - Lagoon 3 (Level 15)

Rooms

Casablanca

Caymans 1

Caymans 2

Caymans 3

Caymans 4

JamaicaKaywestCancun

13:30 15:00

Decision
Analysis& Methods I

Operations
Research I

Quality Control&
Management I

Supply Chain
Management I

Technology &Knowledge
Management I

Healthcare
Systems &Management

Systems
Modeling &Simulation I

Human
Factors I

15:00 15:30

5Coffee/Tea Break - Caymans Foyer (Level 10)

Rooms

Casablanca

Caymans 1

Caymans 2

Caymans 3

Caymans 4

JamaicaKaywestCancun

15:30 17:00

Decision
Analysis& Methods II

Operations
Research II

ServiceInnovation &Management I

Manufacturing
Systems I

Information
Processing &Engineering I

Intelligent
Systems I

Project
Management I

Production
Planning &Control I

Program Overview
Time

Thursday, 11 December 2014

07:30 09:00

Conference Registration - Foyer (Level 10)

Rooms

Casablanca

Caymans 1

Caymans 2

Caymans 3

Caymans 4

JamaicaKaywestCancun

09:00 10:30

Panel
Sessions

Operations
Research III

Quality
Control &Management IV

Supply Chain
Management II

Information
Processing &Engineering II

All Day Poster
Display

E-Business &E-Commerce

Safety,Security & Risk
Management

10:30 11:00

Coffee/Tea Break – Foyer (Level 10)

Rooms

Casablanca

Caymans 1

Caymans 2

Caymans 3

Caymans 4

JamaicaKaywestCancun

11:00 12:30

Decision
Analysis& Methods III

Operations
Research IV

ServiceInnovation &Management II

Supply Chain
Management III

Technology &Knowledge
Management II

All Day Poster
Display (cont’d)Reliability &MaintenanceEngineering

Production
Planning &Control II

12:30 13:30

Lunch - Lagoon 3 (Level 15)

Rooms

Casablanca

Caymans 1

Caymans 2

Caymans 3

Caymans 4

JamaicaKaywestCancun

13:30 15:00

Decision
Analysis& Methods IV

GlobalManufacturing&
Engineering

Quality Control&
Management II

Manufacturing
Systems II

Information
Processing &Engineering III

All Day Poster
Display (cont’d)

Project
Management II

Human
Factors II

15:00 15:30

Coffee/Tea Break – Foyer (Level 10)

Rooms

Casablanca

Caymans 1

Caymans 2

Caymans 3

Caymans 4

JamaicaKaywestCancun

15:30 17:00

Decision
Analysis& Methods V

Operations
Research V

Quality Control&
Management III

Manufacturing
Systems III

Technology &Knowledge
Management III

All Day Poster
Display (cont’d)Systems
Modeling &Simulation IIIntelligent
Systems II

18:30 22:00

Conference Banquet - Lagoon 3 (Level 15)
Ticketed Event, please present ticket at gate

Time

Friday, 12 December 2014

08:00 13:00

Technical Visit to PKT Logistics
Ticketed Event, please present ticket to board coach(Help Desk Opens 07:30; Closes 08:00)

14:00 19:00

Countryside Tour
Ticketed Event, please present ticket to board coach(Help Desk Opens 13:00; Closes 14:00)

6

Keynote Speaker
Wednesday - 10 December, 09:45 to 10:30
Lagoon 1 Ballroom, Level 15“Science, Engineering, Technology & Innovation(SETI) Education for Economy Transformation”
Hean Teik CHUAH
President
Universiti Tunku Abdul Rahman (UTAR), Malaysia

Abstract
SETI Education has always been the driving force of human civilizations. This paper starts with a random walkon the achievements of SETI for the last century, and current trends in a globalised world. It also touches on thebooming trends and challenges faced such as widening gap in wealth distribution, global warming, availability of cleanwater, and inequality in food distribution. The way forward is to focus on SETI education, which is the key forhuman resource development, catalyst of change and innovation, and driver of economy growth. It shares some facts
and figures on the higher education landscape in USA and some Malaysian experiences in SETI human resource
development. Finally the presentation covers global mobility of engineering professionals and suggests that engineering
professionals should have 3 IC’s as their guiding principles: Integrity & Competence; Integration & Communications; andInternationalisation & Cooperation.

Biography
Dr. Chuah Hean Teik graduated with a BEng (First Class Honours), MEngSc and PhD in electricalengineering, all from University of Malaya, Malaysia, in 1986, 1988 and 1992, respectively. Since April 2008, he has been
appointed as President of Universiti Tunku Abdul Rahman (UTAR) in Malaysia. His research interests include microwave
remote sensing, applied electromagnetics, and wave propagation for indoor and outdoor communications. He has
authored/co-authored more than 250 papers in international journals and conferences. Dr. Chuah has received many
awards, both locally and internationally such as the inaugural Young Engineer Award by the Institution of Engineers,
Malaysia in 1991; the 1993 Young Scientist Award at the 24th General Assembly of URSI at Kyoto, Japan; the 1995 Young
Scientist Award (Industrial Sector) by the Malaysian Ministry of Science, Technology and the Environment; the 1999
Malaysian Toray Science Foundation Science and Technology Award for his contributions in the area of microwave
remote sensing; 2011 IET Malaysia Outstanding Achievement Award; Rotary Charity Foundation of Kuala Lumpur
Research Gold Medal 2012 for excellence in original research and significant achievement in the field of electricalengineering; and most recently the Distinguished Engineer Award by the Institution of Engineers Malaysia Penang
Branch. For his significant contribution in engineering profession, he was awarded Honorary Doctor of Engineeringby Multimedia University in August 2013. Dr. Chuah is an eminent technical leader and is very active in professional
bodies. He is currently the President of the Federation of Engineering Institutions of Asia and the Pacific (FEIAP).
He was the President of the Institution of Engineers, Malaysia (2009-2011). He is a Senior Fellow of the Academyof Sciences, Malaysia; Hon. Fellow of the ASEAN Federation of Engineering Organisations and the Institution ofEngineers Malaysia; a Founding Fellow of the ASEAN Academy of Engineering and Technology; Fellow of theRemote Sensing & Photogrammetry Society, UK; the Institution of Engineering and Technology, UK; the Instituteof Electrical and Electronics Engineers, USA; and the Electromagnetics Academy, USA. He is also a Professional
Engineer in Malaysia, a Chartered Engineer registered with the Engineering Council, UK; an APEC, EMF and
ASEAN Engineer; and Hon. Member of the Golden Key International Honour Society. Dr Chuah is the current Chairof the IEEE GRS Chapter in Malaysia.

7Keynote Speaker
Wednesday - 10 December, 10:30 to 11:30
Lagoon 1 Ballroom, Level 15“Science, Engineering, Innovation and Competitiveness An international assessment and comparison”
Tariq S DURRANI
Research Professor
University of Strathclyde, United Kingdom

Abstract
This presentation is concerned with a comparative assessment of policies and strategies currently being employed bya number of nations to promote science, technology and innovation as a vehicle for wealth creation and prosperity.
Research and Innovation Systems are increasingly seen as key drivers for growth and wealth creation. The work
covers the initiatives being taken by the UK Government to stimulate the economy by fostering innovation, andincludes a study of policies implemented by the governments of Canada, USA, Germany and China, and anevaluation based on performance indicators developed by the European Commission’s Innovation Union Scoreboard.
The presentation will also touch on how Innovation is evolving in Asia, and the work of OECD in identifying trends
and features of policy instruments to encourage science, technology and innovation.

Biography
Tariq Durrani is the Vice President (International) Royal Society of Edinburgh-the national academy for sciences andletters for Scotland, and Research Professor at the University of Strathclyde in Glasgow UK. Prior to this he was theVice President (Natural Sciences) at the Royal Society of Edinburgh from 2007-2010.
He joined the University of Strathclyde as Lecturer (1976); appointed Professor (1982); Department Head (1990-1994);
Deputy Principal (2000-2006), with major responsibility for University-wide strategic developments in Computing/Information Technology infrastructure, Entrepreneurship, Staff Development and Lifelong Learning.
He has authored 350 publications; conducted collaborative research with industry, partnered in major
European research programs; supervised 40 PhDs; had visiting appointments at Princeton, University of Southern
California, Stirling, and UESTC Chengdu; and consulted for UK, Netherlands, Portugal, UAE, US, and European Union
governments. His research includes Signal & Image Processing, Technology and Education Management.
Tariq Durrani has been a Board member and Director of United Kingdom National Commission for UNESCO, theGlasgow Chamber of Commerce, the Scottish Funding Council; the UK Leadership Foundation for Higher Education,
the UK Equality Challenge Unit.
He has been active in professional societies, being President of the IEEE Signal Processing Society (1994-1995);
President IEEE Engineering Management Society (2006-2007), and Director and Vice President of the IEEE
Educational Activities Board (2010-2011).
He is a Fellow of IEEE, UK Royal Academy of Engineering, Royal Society of Edinburgh, and IET; and is VP of Royal
Society of Edinburgh (2012-2014).
In 2003 Queen Elizabeth honoured him with the title OBE (Officer of the Order of the British Empire)” for services toelectronics research and higher education.”

8

Keynote Speaker
Wednesday - 10 December, 11:30 to 12:30
Lagoon 1 Ballroom, Level 15“Educating Technology Leaders for Design-Driven Innovation”
Thomas L.MAGNANTI
President
Singapore University of Technology and Design (SUTD), Singapore

Abstract
Technology and design-driven innovation have always been vital to society’s prosperity and well-being and willcontinue to be so in essentially all areas of importance to society. Education in this general arena has evolved overhundreds of years, with the emergence within engineering and management of particular disciplinary anddepartmental structures and teaching paradigms. These include programs in industrial engineering andengineering management. Are these the best approaches in today’s world? How should a contemporary technical-based
university be structured? What degrees should it offer and how should it be delivering education? Using MIT and thedevelopment of the Singapore University of Technology and Design as reference points, I will touch upon theseissues in the context of the changing landscape of higher education.

Biography
Thomas Magnanti is the founding President of the Singapore University of Technology and Design (SUTD), andInstitute Professor and former Dean of Engineering at M.I.T. He has devoted much of his professional career toeducation that combines engineering and management, and to teaching and research in applied and theoreticalaspects of large-scale optimization.
At SUTD, he has led the development of a university whose mission is to advance knowledge and nurturetechnically-grounded leaders and innovators to serve societal needs, through a focus on Design and an integrated
multi-disciplinary curriculum and multi-disciplinary research.
At M.I.T. he was the founding co-director of MIT’s Leaders for Manufacturing and System Design and Management
Programs, and founding director of the Singapore-MIT Alliance for Research and Technology (SMART). As Dean,
he was instrumental in creating the Deshpande Center for Technological Innovation and was a strong advocate andsupporter of programs in entrepreneurship such as the MIT 100K competition. He also headed one third of the Sloan
School of Management for several years.
He has served as president of three major professional societies and as editor of the journal Operations Research.
He has also served on a number of university, corporate and government boards and councils.
Professor Magnanti has received numerous educational and research awards including four honorary degrees. He isa member of the U.S. National Academy of Engineering and the American Academy of Arts and Sciences. He has anundergraduate degree in Chemical Engineering from Syracuse University, and masters’ degrees in Statistics and in
Mathematics as well as a Ph.D. in Operations Research, all from Stanford University.

9Speaker Guides
Oral Presentation
1.

Determine Your Audio-Visual Needs

2.

Prepare Your Presentation

3.

Create a Backup Copy of Your Presentation

Each meeting room comes equipped with a computer, LCD projector and screen. The computers will be
configured with Windows Operating System as well as with Microsoft Office and Adobe Acrobat Reader. Please bring yourpresentation files in Thumb drives only. For MAC-laptop users, please bring your own VGA adapter cable.

Length of presentation material should be in accordance with your time allotted, each oral presentation islimited to 15 minutes (including Q&A). Please refer to the Final Program for actual presentation schedules. You arekindly requested to be at the presentation room at least 15 minutes before the session starts.

We recommend that you bring at least 2 copies of your presentation to the meeting for backup purposes. Only thumb drives
are acceptable.

4.

Give Your Presentation
Be considerate to the other speakers and audience by staying within your allocated time. The allocated time for yourpresentation includes a discussion and a changeover to the next speaker. Session Chairs will hold you to the allotted time.
This is essential to ensure adequate time for questions and discussion as well as adherence to the schedule.

Please discuss the same material as reported in your paper submission. At the end of the meeting, all presentation files uploadedon the provided computers will be deleted.

Poster Presentation
Poster sessions will be located at Jamaica Room, Level 10. Your assigned poster board will be marked with your Paper ID. Pleasefeel free to approach the help desk for assistance.

1.

Poster Display and Viewing
Thursday – 11 December 2014
Poster Viewing

from 10:30 to 11:00 and 15:00 to 15:30

Poster Set-up

from 08:30 to 10:30

Poster tear downby 18:00 latest

2.

Prepare Your Poster

Each presenter is provided with a 2.5 metre high by 1 metre wide poster board. Please discuss the same material as reported inyour 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
•
•
•

4.

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 foryour poster presentation, please bring those supplies with you to the meeting.

Remove Your Poster•

Posters must be removed immediately after the end of the scheduled presentation session. IEEM2014 will not be
responsible for posters and materials left on poster boards after the end of the session.

10Session Schedules
Decision Analysis & Methods I

Decision Analysis & Methods II

Operations Research I

10/12/2014 13:30 - 15:00
Room: Casablanca

10/12/2014 15:30 - 17:00
Room: Casablanca

10/12/2014 13:30 - 15:00
Room: Caymans 1

Chairs:Chairs:Chairs:Shin-Guang Chen
Shino Iwami

Abstracts: see page 27

Simultaneous Consideration ofRemanufactured and New
Products in Optimal ProductLine Design
Ridvan Aydin, C.K. Kwong, Ping Ji
The Hong Kong Polytechnic University,
Hong Kong SAR

The Optimal Ordering
Quantity with Uncertain Food's
Safety Environment
Shu-Yen Hsu, Tyrone T. Lin
National Dong Hwa University, Taiwan

Reduced Recursive
Inclusion-exclusion Principle
for the Probability of Union
EventsShin-Guang Chen
Tungnan University, Taiwan

A Bi-level Algorithm for
Product Line Design andPricing

Shuli Wu, Songlin Chen
Nanyang Technological University,
Singapore

An Optimal Electricity
Consumption Decision with a
Limited Carbon Emission
Concept
Tyrone T. Lin, Hui-Chen Lan
National Dong Hwa University, Taiwan

An Integrated Data
Envelopment Analysis (DEA)and Hedge Accounting
Approach for Risk
Management Efficiency
Measurement: Evidence From
Derivative Market in
Asia-pacific Banks

Shahsuzan Zakaria, Sardar M. N. Islam
Victoria University, Australia

Yves De Smet
Saku Mäkinen

Abstracts: see page 28

A Fuzzy Linguistic
Representation Model for
Decision Making Under
Uncertainty

Wen-Tao Guo, Van-Nam Huynh
Japan Advanced Institute of Science andTechnology, Japan

Post Optimality Analysis of
Pareto Optimal Set ThroughWeights Robustness
Maria Kalinina, David Sundgren
Stockholm University, Sweden

Adapting the ISO31000:2009
Enterprise Risk Management
Framework Using the Six
Sigma Approach
Bennie Seck-Yong Choo, Jenson
Chong-Leng Goh
SIM University, Singapore

A Framework to Identify
Sustainability Indicators for
Product Design

Sam Yeon Kim1, Seung Ki Moon1,
Hyung Sool Oh2, Taezoon Park3, HaeJin
Choi4, Hungsun Son5
1
Nanyang Technological University,
Singapore
2
Kangwon National University, South
Korea
3
Soongsil University, South Korea
4
Chung-Ang University, South Korea
5
Ulsan National Institute of Science &Technology, South Korea

An Interactive Bi-criteria
Heuristic Algorithm for the
Coherent System Assembly

Abdel-Aziz M. Mohamed
Arab Academy for Science, Technology, andMaritime Transport, Egypt

Optimal Trial Number for
D-optimal Designs Based on
Efficiency-cost Ratio Analysis
XiuTing Liu, Sen Lin, Jun Yang
Beihang University, China

Swarm Based Mean-variance
Mapping Optimization(MVMO^s) for Economic
Dispatch Problem with Valve Point Effects

Khoa Truong 1, Pandian Vasant1, Balbir
Singh Mahinder Singh1, Dieu Vo2
1
Universiti Teknologi Petronas, Malaysia
2
HCMC University of Technology, Viet
Nam

11

Yuliang Su
Earl-Juei Wang

Abstracts: see page 29

A Multicriteria Decision Modelfor Technology Readiness
Assessment for Energy Basedon PROMETHEE Method with
Surrogate Weights

Adiel Almeida1, Danielle C Morais1,
Luciana Alencar1, Tharcylla Clemente1,
Eduardo Krym1, C. Z. Barboza2
1
Federal University of Pernambuco, Brazil
2
2CGEE Centro de Gestão e Estudos
Estratégicos, Brazil

An Imperialist Competitive
Algorithm for the Job Shop
Scheduling Problems

Hamed Piroozfard, Kuan Yew Wong
Universiti Teknologi Malaysia, Malaysia

Impact Evaluation of
MGNREGA Using Data
Envelopment Analysis

Devaraj Hanumappa, Parthasarathy
Ramachandran, T. G. Sitharam
Indian Institute of Science, India

Critical Literature Review on
Maturity Models for Business
Process Excellence

Saja Albliwi, Jiju Antony, Norin Arshed
Heriot-Watt University, United Kingdom

A Modified Genetic Algorithm
for Precedence Constrained
Operation Sequencing Problem
in Process Planning
Yuliang Su, Xuening Chu, Dongping
Chen, Dexin Chu
Shanghai Jiao Tong University, China

Building Master Surgery
Schedules with Leveled Bed
Occupancy and Nurse
Workloads

Zakaria Abdelrasol1, Nermine Harraz2,
Amr B. Eltawil3
1
Egypt-Japan University of Science andTechnology (E-JUST), Egypt
2
Alexandria University, Egypt
3
Egypt - Japan University of Science andTechnology (E-JUST), Egypt

Operations Research II

Quality Control & Management I

Service Innovation & Management I

10/12/2014 15:30 - 17:00
Room: Caymans 1

10/12/2014 13:30 - 15:00
Room: Caymans 2

10/12/2014 15:30 - 17:00
Room: Caymans 2

Chairs:Chairs:Chairs:Amr Eltawil
Shinji Inoue

Abstracts: see page 30

Imad Alsyouf
Yoshinobu Tamura

Abstracts: see page 31

Resolution of Resource
Conflicts in the CCPM
Framework Using a Local
Search Method

Modeling Autocorrelated
Process Control with Industrial
Application

Hiroki Koga, Hiroyuki Goto, Eishi
Chiba
Hosei University, Japan

Siaw Li Lee1, Maman Abdurachman
Djauhari2, Ismail Mohamad1
1
Universiti Teknologi Malaysia, Malaysia
2
Universitas Pasundan, Indonesia

A Heuristic Algorithm for thePrize Collecting Steiner Tree
Problem

Estimation of Population
Generalized Variance:
Application in Service Industry

Yuki Hosokawa, Eishi Chiba
Hosei University, Japan

3D Loading Problem
Formulation Using Mixed
Integer Nonlinear
Programming

Mojahid Saeed Osman1, Bala Ram2
1
King Fahd University of Pertoleum &Minerals, Saudi Arabia
2
North Carolina A&T State University,
United States

A Hybrid PSO-TS Approach for
Proportionate Multiprocessor
Open Shop Scheduling
Tamer Abdelmaguid
Cairo University, Egypt

An Improved Approach for the
Quay Crane Assignment
Problem with Limited
Availability of Internal Trucks
in Container Terminal
A. Karam1, Amr B. Eltawil1, Nermine
Harraz2
1
Egypt - Japan University of Science andTechnology (E-JUST), Egypt
2
Alexandria University, Egypt

Asset Integrity of Deepwater
Petroleum Production Facilities
Mayang Kusumawardhani, Tore
Markeset
University of Stavanger, Norway

Standardization Programs in
the Industrial Plant Business:
Best Practices and Lessons
LearnedMichael Gepp, Jan Vollmar, Thomas
Schaeffler
Siemens AG, Germany

Revathi Sagadavan1, Maman
Abdurachman Djauhari2, Ismail
Mohamad1
1
Universiti Teknologi Malaysia, Malaysia
2
Universitas Pasundan, Indonesia

Factors Affecting Quality in a
Manufacturing Environment
for a Non-repairable Product
Rene Lombard, Corro van Waveren,
Kai-Ying Chan
University of Pretoria, South Africa

Improving Quality ofOperations via
Industry-specific
Empowerment Antecedents: A
Study of the Oil and Gas
Industry
Ngozi Onyemeh, Chan Wai Lee
University of Nottingham, Malaysia

Application of Six Sigma in Oiland Gas Industry: Converting
Operation Data into Business
Value for Process Prediction
and Quality Control

Wai Kit Cheng1, Amir Farid Azman1,
Mohamad Hisham Hamdan2, RachelFran Mansa3
1
PETRONAS Penapisan (Terengganu) Sdn.
Bhd., Malaysia
2
PETRONAS Group Operation Excellence,
Malaysia
3
Universiti Malaysia Sabah, Malaysia

Mishandled Baggage Problem:
Causes and Improvement
Suggestions

Imad Alsyouf, Fatima Humaid, Shaima
Al Kamali
University of Sharjah, United ArabEmirates

Vipul Jain
Chien-Liang Kuo

Abstracts: see page 32

Priority Investment
Components of Emotional
Intelligence Effective on
Marketing with AHP Method
Parissa Tavakoli-Targhi, Yousef
Gholipour Kanani
Islamic Azad University, IranWorkforce Planning for Global
Network Delivery Model
Sumit Raut, Kishore Padmanabhan,
Muralidharan Somasundhanram,
Natarajan Vijayarangan
Tata Consultancy Services Limited, India

CSF in Product Innovation
Process: A Comparative Studyof Three Malaysian
Manufacturing SMEs

Noor Hidayah Abu1, Baba Md Deros2,
Mohd Fitri Mansor3
1
Universiti Utara Malaysia, Malaysia
2
Universiti Kebangsaan Malaysia, Malaysia
3
Universiti Malaysia Perlis, Malaysia

Supporting the
Cross-disciplinary
Development of
Product-service Systems
Through Model
Transformations

Thomas Wolfenstetter, Konstantin
Kernschmidt, Christopher Münzberg,
Daniel Kammerl, Suparna Goswami,
Udo Lindemann, Birgit Vogel-Heuser,
Helmut Krcmar
Technische Universität München, Germany

Structural Investigation of a
Healthcare Value Chain: A
Social Network Analysis
Approach

Vipul Jain1, Sumit Sakhuja2
1
University of Sharjah, United ArabEmirates
2
Indian Institute of Technology Delhi, India

Investigating the Effects ofProject Scales on the Patterns
and Performance of
Successfully Funded,Technology-oriented
Innovative Crowdfunding
Projects
Chien-Liang Kuo1, C.J.H. Lin2, S.X.S.
Huang2, Yu-Chen Lin1
1
Chinese Culture University, Taiwan
2
Ming-Jiang University, China

12

Supply Chain Management I

Manufacturing Systems I

Technology & Knowledge
Management I

10/12/2014 13:30 - 15:00
Room: Caymans 3

10/12/2014 15:30 - 17:00
Room: Caymans 3

10/12/2014 13:30 - 15:00
Room: Caymans 4

Chairs:Chairs:Chairs:R. Kant
Roger Jiao

Abstracts: see page 33

Supplier Selection Activities in
the Service Sector: A Case
Study in Nigeria

Dotun Adebanjo1, Matthew Tickle2,
Frank Ojadi3, Petros Ieromonachou1,
Tritos Laosirihongthong4, Roula
Michaelides2
1
University of Greenwich, United Kingdom
2
University of Liverpool, United Kingdom
3
University of Lagos, Nigeria
4
Thammasat University, Thailand

Managing Supply Disruption
in a Three-tier Supply Chainwith Multiple Suppliers andRetailers

Sanjoy Kumar Paul, Ruhul Sarker, Daryl
Essam
University of New South Wales, Australia

Collaborative Inventory
Distribution Management in a
Supply Chain: A Simulation
Perspective
Joby George, Nimmy J.S., V.
Madhusudanan Pillai
National Institute of Technology Calicut,
India

In-house Capacity Investment
and Outsourcing Under
Competition
Tarun Jain, Jishnu Hazra
Indian Institute of Management, India

Optimization ofMulti-commodities Consumer
Supply Chains Part II:
Simulation Modeling

Zeinab Haji Hajiabolhasani, Romeo M.
Marian, Lee Luong
University of South Australia, Australia

Identifying Critical Success
Factors for Green Supply Chain
Management Implementation
Using Fuzzy DEMATEL
MethodRakesh Kumar Malviya, Ravi Kant
Sardar Vallabhbhai National Institute ofTechnology, India

Warehouse Storage
Assignment: The Case Study ofa Plastic Bag Manufacturer
Chompoonoot Kasemset, J. Sudphan
Chiang Mai University, Thailand

13

Rob Dekkers
Kanagi Kanapathy

Abstracts: see page 34

Comparing Malaysian and
Scottish Firms on Practices for
Strategic Capability
Management
Rob Dekkers1, Kanagi Kanapathy2
1
University of Glasgow, United Kingdom
2
University of Malaya, Malaysia

The Moderation Effect of the
Cultural Dimension"Individualism/Collectivism"
on Toyota Way Deployment - A
Global Study on Toyota
Facilities

Nihal Jayamaha1, Jurgen Wagner2, Nigel
Grigg11
Massey University, New Zealand
2
Robert Bosch GmbH, Germany

Assessment of the Teamwork
Organization in a Production
Plant of a Major German
Automobile Manufacturer

Robert Stranzenbach, Philipp M.
Przybysz, Susanne Mütze-Niewöhner,
Stephan Scheel, Christopher M. Schlick
RWTH Aachen University, Germany

Modeling Cognitive Networkof a Physical System Using
Design Knowledge BaseShah Limon1, Om Prakash Yadav1,
Bimal Nepal2
1
North Dakota State University, UnitedStates2Texas A & M University, United States

Theoretical considerations for
Make-or-buy Decisions During‘Product Design andEngineering’: Three Indian
Case Studies
Rob Dekkers
University of Glasgow, United Kingdom

Lean Transformation Efforts of
the Wood Industry in Virginia

Omar Espinoza1, Urs Buehlmann2, C
Fricke3
1
University of Minnesota, United States
2
Virginia Tech, United States
3
Kollmorgen, United States

Optimal Control Synthesis for a
Flexible Manufacturing System
Based on Minimal Cuts
Sadok Rezig, Zied Achour, Nidhal
Rezg, Mohamed-Ali Kammoun
University of Lorraine, France

Atsushi Aoyama
Ching Chieh Kiu

Abstracts: see page 35

A Behavioral Loyalty Model ofPortable Computers

Mohammad Reza Shahriari1, Ali
Hajiha1, Sara Dehghan2
1Islamic Azad University, United ArabEmirates2
Islamic Azad University, IranRegionalization of Engineering- Framework and Scenarios

Thomas Schaeffler1, Rudolf Kodes1,
Michael Gepp1, Nadja Hoßbach2, Arndt
Lüder31
Siemens AG, Germany
2
Friedrich-Alexander-University
Erlangen-Nuremberg, Germany
3
Otto-von-Guericke University, Germany

The Marketing Strategy for
Successful ProductDevelopment Performance in
Iranian Nanotechnology-basedEnterprises
Naser Khosravi, Mohsen Sadeghi
Amirkabir University of Technology, Iran

Forecasting of Diffusion
Pattern: A Case Example of
OLED Technology
Pawat Tansurat, Nathasit Gerdsri
Mahidol University, Thailand

Improving Management
Practices Upon Organizational
Characteristics - An Analysis ofJapanese Manufacturing
Subsidiaries in Vietnam
Nguyen Thi Duc Nguyen, Atsushi
AoyamaRitsumeikan University, Japan

Identifying Knowledge
Components in Software
Requirement Elicitation

Laleh Taheri, Noraini Che Pa, Rusli
Abdullah, Salfarina Abdullah,
Mohammad Yaser Shafazand
University Putra Malaysia, Malaysia

Information Processing & Engineering I

Healthcare Systems & Management

Intelligent Systems I

10/12/2014 15:30 - 17:00
Room: Caymans 4

10/12/2014 13:30 - 15:00
Room: Jamaica

10/12/2014 15:30 - 17:00
Room: Jamaica

Chairs:Chairs:Chairs:Md. Mamun Habib
Olaf Sauer

Abstracts: see page 36

A Bayesian Accelerated
Degradation Studies on Nitrile
Rubber O-ring
Lizhi Wang, Xiaohong Wang, Yuxiang
Li, Wenhui Fan
Beihang University, China

Interview Study: Decisions andDecision Criteria for
Development in Industry
Danilo Marcello Schmidt1, Sebastian
Schenkl2, Eduard Munkhart2, Susanne
Nilsson3, Markus Mörtl2
1
Technical University of Munich, Germany
2
Technische Universität München,
Germany
3
Royal Institute of Technology, KTH,
SwedenTheoretical Analysis of RFID
Security Protocols

Azam Zavvari, Mohammad Tariqul
Islam, Masoud Shakiba, Mandeep Jit
Singh
Universiti Kebangsaan Malaysia, Malaysia

Analyzing and Visualizing
News Trends Over Time

Lubaba Farin Tanisha1, Bishwajit Banik
Pathik2, Manzur H. Khan1, Md. Mamun
Habib3
1
American International
University-Bangladesh (AIUB), Bangladesh
2American International
University-Bangladesh, Bangladesh
3
Universiti Utara Malaysia (UUM),
Malaysia

A Novel Tool for Reducing
Time and Cost at Software Test
Estimation: An Use Cases andFunctions Based Approach
Shaiful Islam1, Bishwajit Banik Pathik1,
Manzur H. Khan1, Md. Mamun Habib2
1American International
University-Bangladesh, Bangladesh
2
Universiti Utara Malaysia (UUM),
Malaysia

Self-focusing Appearance in
Ultra-compact 3×3 MultimodeInterference Coupler Based on
Silicon on Insulator

Mehdi Tajaldini1, Mohd Zubir Mat Jafri2
1
University Sains Malaysia, Malaysia
2
Universiti Sains Malaysia, Malaysia

Juha Puustjärvi
Kai-Way Li

Abstracts: see page 37

Healthcare Platforming for
Healthcare Service
Development in Hospitals

Linda L. Zhang1, Michel Aldanondo2,
Arun Kumar3
1
IESEG School of Management(LEM-CNRS), France
2
Toulouse University-Mines Albi, France
3
RMIT University, Australia

Design of a Dynamic
Bi-objective Relief Routing
Network in the Earthquake
Response Phase

Shadab Shishehgar1, Reza
Tavakkoli-Moghaddam1, Ali Siadat2,
Mehrdad Mohammadi1
1
University of Tehran, Iran2
Arts et Métier Paris Tech, France

Towards an Instrumented
Tissue Expander

Annette Böhmer1, Alexander Zöllner2,
Ellen Kuhl2, Udo Lindemann1
1Technische Universität München,
Germany2
Stanford University, United States

Health System Design: A
Financial Perspective

Hans-Jakob Luethi, C. Mandl, Philippe
WidmerETH Zurich, Switzerland

An Employee Assistance
Program by Analyzing theCorrelation Between WorkStress and Dreams for Chinese
Employees

Kuei-Chen Chiu1, Tsai-Wei Huang2,
Shulan Hsieh1
1National Cheng Kung University, Taiwan
2
National Chiayi University, Taiwan

A Novel Simulated
Metamorphosis Algorithm for
Homecare Nurse Scheduling

Michael Mutingi1, Charles Mbohwa2
1
Namibia University of Science &Technology, Namibia
2
University of Johannesburg, South Africa

Education Management in
Healthcare Communities

Juha Puustjärvi1, Leena Puustjärvi2
1
University of Helsinki, Finland
2
The Pharmacy of Kaivopuisto, Finland

Gamini Wijayarathna
Dianne Lee-Mei Cheong

Abstracts: see page 38

Study on the Production
Forecasting Based on Grey
Neural Network Model in
Automotive Industry

Bin Lin, Seng Fat Wong, Weng Ian Ho
University of Macau, Macau

The Need for Integrating
Statistical Process Control andAutomatic Process Control
Abdul-Wahid A. Saif
King Fahd University of Petroleum &Minerals, Saudi Arabia

Modeling Novices inDecision-problem Structuring
for Collective Intelligence
Dianne Lee-Mei Cheong
Universiti Teknologi MARA, Malaysia

Survey on Tools and Systems toGenerate ER Diagram from
System Requirement
Specification
Wasana C. Uduwela, Gamini
Wijayarathna
University of Kelaniya, Sri Lanka

A Methodology for Fuzzy
Multi-criteria Decision-making
Approach for Scheduling
Problems in Robotic Flexible
Assembly Cells
Khalid Abd, Kazem Abhary, Romeo M.
MarianUniversity of South Australia, Australia

Application of a Fuzzy
Multi-criteria Decision-making
Approach for Dynamic
Scheduling in Robotic Flexible
Assembly Cells
Khalid Abd, Kazem Abhary, Romeo M.
MarianUniversity of South Australia, Australia

Overtime Capacity Expansionin Order Acceptance with Node
Based Estimation ofDistribution Algorithms

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

14Systems Modeling & Simulation I

Project Management I

Human Factors I

10/12/2014 13:30 - 15:00
Room: Kaywest

10/12/2014 15:30 - 17:00
Room: Kaywest

10/12/2014 13:30 - 15:00
Room: Cancun

Chairs:Chairs:Chairs:Norani Nordin
Kiyoshi Sawada

Abstracts: see page 39

Dynamic Modeling andAnalysis of LM6000
Gas-turbine Synchronous
Generator

Roozbeh Eshraghnia, Randy J. Kleen
General Electric, Power & Water, UnitedStatesSimulation Based Lean Six
Sigma Approach to Reduce
Patients Waiting Time in an
Outpatient Eye Clinic

Weidong Lin1, Xianfei Jin2, Sie Yong
Chia1
1
Temasek Polytechnic, Singapore
2Integrated Decision Systems Consultancy,
Singapore

Combining Set-based
Concurrent Engineering andFunction- Means Modelling toManage Platform-based
Product Family Design

Dag Raudberget, Marcel Michaelis,
Hans Johannesson
Chalmers University of Technology, Sweden

Simulation of New System
Departure Terminal
Soekarno-Hatta International
Airport

Dimas Novrisal1, Nuraida Wahyuni2,
Nadia Hamani3, Abderrahman
Elmhamedi4, Tresna Soemardi5
1
Université de Paris 8, France
2
University of Sultan Ageng Tirtayasa,
Indonesia
3
Université de Picardie Jules Verne, France
4
Paris 8 University, France
5
University of Indonesia, Indonesia

Numerical Simulation of StressDistribution of a
Femur-Menisci-Tibia BoneDuring Normal Standing,
Normal Walking, and Standing
with a Cane
Angkhana Prommarat1, Athassawat
Kammanee2, Thitikom Puapansawat1,
Farida Chamchod1
1Mahidol University, Thailand
2
Prince of Songkla University , Thailand

Statistical Analysis and a Social
Network Model Based on the
SEIQR Framework
Benjamas Chimmalee, Wannika
Sawangthong, Rawee Suwandechochai,
Farida Chamchod
Mahidol University, Thailand

Placing a Liaison with Long
Communication Lengths to theSame Level in an Organization
Structure
Kiyoshi Sawada
University of Marketing and Distribution
Sciences, Japan

15

Linda Zhang
Ramanathan Chidambaram

Abstracts: see page 40

Setting Up An Intellectual
Properties Intermediary
Service: DMAIC Way

Kim Siow
Universiti Kebangsaan Malaysia, Malaysia

Modular, Building Blocks Based Approach for
Information andDocumentation Management inPlanning Projects

Daniel Oehme, Ralph Riedel, Egon
MüllerTechnische Universität Chemnitz, Germany

Establishing the Development
Mechanism of ERP Report
Te- King Chien, Hou-Yi Lin
National Formosa University, Taiwan

Multi-objective Optimization
and Risk Assessment in System
Engineering Project Planningby Ant Colony Algorithm
Pablo Baroso, Thierry Coudert, Eric
Villeneuve, Laurent Geneste
University of Toulouse, France

Analyzing Implementation ofLean Production Control with
the Viable System Model

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

Development of
QuicKaizen^TM Technique for
Productivity Execution
Management for Singapore
SMEs
Chin Wei Gan, Ming Hon Toh, Roland
Lim, Bin Ma, Puay Siew Tan, Amrik
Singh Bhullar
Singapore Institute of Manufacturing
Technology, Singapore

The Resource-constrained
Project Scheduling Problem
with Stochastic Activity
DurationsStefan Creemers
IESEG Management School, France

A Comparative Study Among
Stakeholders on Causes of Time
Delay in Malaysian Multiple
Design and Build Projects

Ramanathan Chidambaram1,
Narayanan Sambu Potty2
1
Kumpulan Liziz Sdn. Bhd., Malaysia
2
Universiti Teknologi Petronas, Malaysia

Peter Kuhlang
Myung Hwan Yun

Abstracts: see page 41

Enhancing Work System
Design and Improvement by
Further Developments of Value
Stream MappingPeter Kuhlang1, Thomas Edtmayr2,
Alexander Sunk2, Thomas Mühlbradt1
1
MTM-Institute, German
MTM-Association, Germany
2
Vienna University of Technology, Austria

Influence of Human Factors
Over Idea Generation: a
Qualitative and Quantitative
Analysis of an Enterprise of theGraphic Sector in Medellin
Manuela Escobar Sierra, Luz Dinora
Vera Acevedo
Universidad Nacional de Colombia,
Colombia

The Effect of Font Size on
Typing Performance and Sitting
PostureHaruetai Lohasiriwat, Temsin
Wattanapanich, Panmeq Saechan
Chulalongkorn University, Thailand

Improvement of Workstation
by Providing Ergonomically
Designed Chair and Table for
the Water Hyacinth Weaving
Department of the Villar
Foundation

Devie Ann Gamata, Ralph Orozco, J K.
C. Laserna, J. A. Medina, Sheily
Mendoza, R J. U. Garcia
University of Perpetual Help System
DALTA, Philippines

The Effect of Psychosocial
Stress on Trapezius Muscle
Activity During Computer
Work: A Review

Mohd Firdaus Mohd Taib, Myung
Hwan Yun
Seoul National University, South Korea

Parametric Modeling of 3D
Human Faces Using
Anthropometric Data

Chun-Yang Tseng, I-Jan Wang,
Chih-Hsing Chu
National Tsing Hua University, Taiwan

Developing Transfer ofLearning Through Reflective
Framing and Design Thinking:
An Engineering-games Design
Approach
Chien-Sing Lee1, K. Daniel Wong2
1
Universiti Tunku Abdul Rahman,
Malaysia
2
Malaysia University of Science andTechnology, Malaysia

Production Planning & Control I

Decision Analysis & Methods III

Decision Analysis & Methods IV

10/12/2014 15:30 - 17:00
Room: Cancun

11/12/2014 11:00 - 12:30
Room: Casablanca

11/12/2014 13:30 - 15:00
Room: Casablanca

Chairs:Chairs:Chairs:Philipp Baumann
Norbert Trautmann

Abstracts: see page 42

Abstracts: see page 43

Process Family Planning: An
Optimization-based Approach

Roel Leus , Linda L. Zhang , Daniel
Kowalczyk1
1
KU Leuven, Belgium
2
IESEG School of Management(LEM-CNRS), France
1

Rajasvaran Logeswaran
Elita Amrina

2

Efficient Symmetry-breaking
Formulations for Grouping
Customer Orders in a Printing
Shop

Philipp Baumann, Norbert Trautmann
University of Bern, Switzerland

Continuous Precise Workload
Control Method

Hakan Akillioglu, Joao-Dias Ferreira,Antonio Maffei, Pedro Neves, Mauro
Onori
Royal Institute of Technology, Sweden

Economic Level of Detail for
Assembly Planning
Achim Kampker, Peter Burggräf,
Yvonne Bäumers
RWTH Aachen University, Germany

Scheduling a Dynamic
Flowshop to Minimize theMean Absolute Deviation from
Distinct Due Dates
Ahmed W. El-Bouri
Sultan Qaboos University, OmanA Hybrid EOQ and Fuzzy
Model to Minimize theMaterial Inventory in Ready
Mixed Concrete Plants

Abstracts: see page 44

Design for Open Innovation(DfOI) - Product Structure
Planning for Open Innovation
Toolkits
Maik Holle, Udo Lindemann
Technische Universitaet Muenchen,
Germany

Effects of Different Classifiersin Detecting Infectious Regionsin Chest Radiographs

Real-time Decision Support
System for Resource
Optimization & Managementof Threat Evaluation andWeapon Assignment
Engineering in Air Defence

Afshan Naseem, Shoab Ahmed Khan,
Asad Waqar Malik
National University of Sciences &Technology, Pakistan

Wan Siti Halimatul Munirah Wan
Ahmad1, Rajasvaran Logeswaran2,
Mohammad Faizal Ahmad Fauzi1, Wan
Mimi Diyana Wan Zaki3
1
Multimedia University, Malaysia
2
Nilai University, Malaysia
3
Universiti Kebangsaan Malaysia, Malaysia

An Approach to Analyse Key
Renewable Energy
Technologies: A Case from Sri
Lanka

Parallelization of Industrial
Process Control Program Basedon the Technique ofDifferential Evolution Using
Multi-threading

Bibliometric Methodology to
Detect Collaborative andCompetitive Countries

Rajeev Agrawal , Abhinav Goyal ,Debjani Sambasivam2, Arya K
Bhattacharya3
1
Birla Institute of Technology, Mesra, India
2
Tata Steel, India
3
Mahindra Ecole Central, India
1

1

Weibull Component Reliability
Evaluation With Masked Data
Jieqiong Miao, Xiaogang Li, Renxi Luo
Beihang University, China

An Extension of PROMETHEE
to Divisive HierarchicalMulticriteria Clustering

Mehdi Ravanshadnia, Milad Ghanbari
Islamic Azad University, IranYves De Smet
Université libre de Bruxelles, Belgium

A Structural Equation Model
Linking Forecasting, Planningand Controlling with SME
Performance

Effectiveness Assessment for
Waste Management
Decision-support in the Arctic
Drilling

Biju Puthanveettil1, Bhasi Marath2
1
Rajiv Gandhi Institute of Technology, India
2
Cochin University of Science andTechnology, India

Rudra P Pradhan
Hossam Ismail

Yonas Zewdu Ayele, Abbas Barabadi,
Javad Barabady
The University of Tromsø - The Arctic
University of Norway, Norway

Amila Withanaarachchi, Julian
Nanayakkara, Chamli Pushpakumara
University of Kelaniya, Sri Lanka

Shino Iwami1, Francisco Tacoa1,
Junichiro Mori1, Yuya Kajikawa2, Ichiro
Sakata1
1
The University of Tokyo, Japan
2
Tokyo Institute of Technology, Japan

Fuzzy Decision Making in
Shape Feature Design for
Product Development

Ching-Hu Yang1, Chung-Shing Wang1,
Chin-Fu Chen1, P.Y. Lin1, Chung-Chuan
Wang2
1
Tung-Hai University, Taiwan
2
Chung-Chou University of Science andTechnology, Taiwan

An ANP-based Multi Criteria
Decision Making Model for
Supplier Selection

Hisham Alidrisi
King Abdulaziz University, Saudi Arabia

Multi-granules Evaluation
Model Through Fuzzy Random
Regression Analysis
Nureize Arbaiy
University Tun Hussein Onn Malaysia,
Malaysia

16

Decision Analysis & Methods V

Operations Research III

Operations Research IV

11/12/2014 15:30 - 17:00
Room: Casablanca

11/12/2014 09:00 - 10:30
Room: Caymans 1

11/12/2014 11:00 - 12:30
Room: Caymans 1

Chairs:Chairs:Chairs:Ali Siadat
Abdel-Aziz M. Mohamed

Abstracts: see page 45

Abstracts: see page 46

A Case Study on Mining Social
Media Data

Hing Kai Chan , Ewelina Lacka , Rachel
W. Y. Yee3, Ming K. Lim4
1
University of Nottingham China, China
2
University of Strathclyde, United Kingdom
3Hong Kong Polytechnic University, Hong
Kong SAR
4
University of Derby, United Kingdom
12

Understanding Sustainability
in Healthcare Systems: A
Systems Thinking Perspective

Michael Mutingi1, Charles Mbohwa2
1
Namibia University of Science &Technology, Namibia
2
University of Johannesburg, South Africa

Mitigating the Effort forEngineering Changes in
Product Development Using a
Fuzzy Expert System

Tobias Kindsmüller, Florian G. H
Behncke, Benjamin Stahl, Klaus
Diepold, Martina Wickel, Daniel
Kammerl, Konstantin Kernschmidt
Technische Universität München, Germany

Information Communications
Technology (ICT) Infrastructure
Impact on Stock MarketGrowth Nexus: The Panel VAR
Model
Rudra P Pradhan
Indian Institute of Technology Kharagpur,
India

A Mathematical Formulation
for Low Carbon Electricity
Planning in the Presence ofTechnology and Policy
Interventions

Amrutha Appiyah, Muthu Mathirajan,
Balachandra Patil
Indian Institute of Science, India

Five Factors That Make
Pervasive Business Intelligencea Winning Wager
Riccardo Cognini, Flavio Corradini,
Alberto Polzonetti, Barbara Re
University of Camerino, Italy

A New Hesitant Fuzzy
Analytical Hierarchy Process
Method for Decision-making
Problems Under Uncertainty

S. M. Mousavi1, Hossein Gitinavard2,
Ali Siadat3
1
Shahed University, Iran
2
Iran University of Science and Technology,
Iran
3
Arts et Métier Paris Tech, France

17

Konstantinos Kirytopoulos
Shieu-Hong Lin

A New DEA Model for Six
Sigma Project Selecting: Case
Study on Esfahan Province
Electricity Distribution Co(EPEDC)Ali Yousefi, Amir Reza
Aqamohammadi
Esfahan Province Electricity Distribution
Company, Iran

Vehicle Routing Problem for
Hazardous Materials
Transportation: An Overview.

Khaoula Hamdi1, Nacima Labadie2,
Alice Yalaoui2
1
King Saud University, Saudi Arabia
2
University of Technology of Troyes, FranceElectricity System
Sustainability Transitions : An
Integrated Methodology
Tarun Sharma, Patil Balachandra
Indian Institute of Science, India

Multi-project Flexible Resource
Profiles Project Schedulingwith Ant Colony Optimization

Tatsushi Nishi
Sha'ri Mohd Yusof

Abstracts: see page 47

A Bootstrap Data Envelopment
Analysis (BDEA) Approach inIslamic Banking Sector: A
Method to Strengthen
Efficiency Measurement

Shahsuzan Zakaria1, Mad Ithnin Salleh2,
Shamsuriati Hasan31
Victoria University, Australia
2
Sultan Idris Education University,
Malaysia
3
A.Z.E Groups, Malaysia

A Rule-based Heuristic
Procedure for the Container
Pre-marshalling Problem

Mohamed Gheith1, Amr B. Eltawil2,
Nermine Harraz3
1
Egypt-Japan University of Science andTechnology, Egypt
2
Egypt - Japan University of Science andTechnology (E-JUST), Egypt
3
Alexandria University, Egypt

Operational Excellence
Frameworks - Case Studies andApplicability to SMEs in
Singapore

Elena Rokou1, Manos Dermitzakis1,
Konstantinos Kirytopoulos2
1
National Technical University of Athens,
Greece2
University of South Australia, Australia

Amrik Singh Bhullar, Chin Wei Gan,
Andy Ang, Bin Ma, Roland Lim, Ming
Hon TohSingapore Institute of Manufacturing
Technology, Singapore

An Efficient Solution
Framework for a Large Scale
Delivery Problem

A Mathematical Model and a
GRASP Metaheuristic for a
Faculty-course Assignment
Problem for a University in
Saudi Arabia

Suyan Teng1, Edmund Chan1, Changjun
Yang1, Mingyen Yu1, Siow Hwei Tan2
1
Republic Polytechnic, Singapore
2
ST Logistics Pte. Ltd, Singapore

Second Order-response Surface
Model for the AutomatedParameter Tuning Problem
Aldy Gunawan, Hoong Chuin Lau
Singapore Management University,
Singapore

Khaoula Hamdi
King Saud University, Saudi Arabia

Multi-objective Vehicle
Refueling Planning Using
Mixed Integer Programming
Shieu-Hong Lin
Biola University, United States

Solving the Toll Optimization
Problem by a Heuristic
Algorithm Based Upon
Sensitivity Analysis
Vyacheslav Kalashnikov1, Nataliya
Kalashnykova2, Roberto Carlos
Herrera-Maldonado11
Tecnológico de Monterrey (ITESM),
Mexico2Autonomous University of Nuevo León,
MexicoGlobal Manufacturing & Engineering

Operations Research V

Quality Control & Management IV

11/12/2014 13:30 - 15:00
Room: Caymans 1

11/12/2014 15:30 - 17:00
Room: Caymans 1

11/12/2014 09:00 - 10:30
Room: Caymans 2

Chairs:Chairs:Chairs:Xun XuRoger Jiao

Abstracts: see page 48

Drivers and Barriers in
Sustainable Manufacturing
Implementation in Malaysian
Manufacturing Firms
Norani Nordin, Hasbullah Ashari,
Mohamad Ghozali Hassan
Universiti Utara Malaysia, Malaysia

Choose Whom to Date Wisely:
Explaining the Performance
Variation in Strategic Alliances
Mait Rungi, Valeria Stulova
Tallinn University of Technology, Estonia

Smart Factories in Industry 4.0:
A Review of the Concept and of
Energy Management
Approached in Production
Based on the Internet of Things
Paradigm

Fadi Shrouf1, Joaquin Ordieres2,
Giovanni Miragliotta1
1
Politecnico di Milano, Italy
2
Universidad Politécnica de Madrid, Spain

Application of Lean
Manufacturing in Mass
Production System: A Case
Study in Indian Manufacturing
Unit

Vyacheslav Kalashnikov
Stefan Creemers

Abstracts: see page 49

Management of the Care
Activities in Home Health Care
Services: the Routing and
Scheduling of Caregivers Level
Rabeh Redjem1, Eric Marcon2, Xiaolan
XIE3
1
Paris 8 University, France
2
Saint Etienne University, France
3
Ecole des mines de Saint Etienne, France

Optimal Cost Drivers in
Activity Based Costing Basedon Artificial Neural Network

Noppadol Amdee1, Kawin
Sonthipermpoon2, Thongchai
Arunchai3, Phanboonmee Warawut4
1
Muban Chombueng Rajabhat University,
Thailand2
Naresuan University, Thailand
3
Rajamangala University of Technology
Suvarnabhumi, Thailand
4
UK Engineering & Supply Co.,Ltd.,
ThailandIcing and Performance ofOffshore Production Facilities
in Cold Climate Region
Rezgar Zaki, Abbas Barabadi
The University of Tromsø - The Arctic
University of Norway, Norway

Mahadevan Kishore Kumar, A. John
Rajan, R. Kaja Bantha Navas, S. Sahaya
Rubinson
Sathyabama University, India

Petri Net Representation for 0-1
Integer Programming Problems

Simultaneous Configuration of
Product Families and Supply
Chains for Mass Customization
Using Leader-follower Game
TheoryAlgorithms for the Min-max
Regret Generalized Assignment
Problem with Interval Data

Dong Yang1, Roger J. Jiao2
1
Donghua University, China
2
Georgia Institute of Technology, UnitedStatesAkito Kodama, Tatsushi Nishi
Osaka University, Japan

Wei Wu1, Manuel Iori2, Silvano
Martello3, Mutsunori Yagiura1
1
Nagoya University, Japan
2
University of Modena and Reggio Emilia,
Italy
3
University of Bologna, Italy

Network Optimization for
Capturing and TransportingCO2

Ho-Yoeng Yun1, Lianxi Bai1, Kyung-Sup
Kim1, Suk-Jae Jeong2
1
Yonsei University, South Korea
2
Kwangwoon University, South Korea

David Tchoffa
Diego Tlapa

Abstracts: see page 50

Comparative Analysis of
Taguchi's Crossed Array
Approach vs Combined Array
Approach to Robust Parameter
Design: A Study Based on
Apparel Industry

Pramila Gamage1, Nihal Jayamaha1,
Nigel Grigg1, Manjula Nanayakkara2
1
Massey University, New Zealand2
University of Peradeniya, Sri Lanka

Total Quality Management in
Product Life Cycle

Dinh Son Nguyen
Danang University of Science andTechnology, The University of Danang, Viet
Nam

Fuzzy Mean and Range Control
Charts for Monitoring Fuzzy
Quality Characteristics: A Case
Study in Food Industries Using
Chicken Nugget
S. Mojtaba Zabihinpour, M. K. A.
Ariffin, S. H. Tang, A. S. Azfanizam,
Omid Boyer
Universiti Putra Malaysia, Malaysia

One Hotelling T2 Chart Basedon Transformed Data for
Simultaneous Monitoring theFrequency and Magnitude of an
Event
Yuan Cheng1, Amitava Mukherjee2
1
City University of Hong Kong, Hong Kong
SAR
2
Indian Institute of Management Udaipur,
India

Quality Operating ofInformation Systems andService Level Agreement

David Tchoffa1, El Mouloudi Dafaoui1,
Abderrahman Elmhamedi1, Luminita
Duta2
1
Paris 8 University, France
2
Valahia University, Romania

Drilling Waste Minimization in
the Barents Sea
Rezgar Zaki, Abbas Barabadi
The University of Tromsø - The Arctic
University of Norway, Norway

Laboratory Measurement:
Chlorophyll-a Concentration
Measurement with Acetone
Method Using
Spectrophotometer

Fairooz Johan, Mohd Zubir Mat Jafri,
Hwee San Lim, Wan Maznah Wan
Omar
Universiti Sains Malaysia, Malaysia

18Service Innovation & Management II

Quality Control & Management II

Quality Control & Management III

11/12/2014 11:00 - 12:30
Room: Caymans 2

11/12/2014 13:30 - 15:00
Room: Caymans 2

11/12/2014 15:30 - 17:00
Room: Caymans 2

Chairs:Chairs:Chairs:Carman Ka Man Lee
Ahmed Abdelgawad

Abstracts: see page 51

Influence of Task
Characteristics on Team
Performance

Philipp M. Przybysz, Sönke Duckwitz,
Christopher M. Schlick
RWTH Aachen University, Germany

Multi-screen Services Adoption
and Use-diffusion: The BEST
Model Perspective
Hung Chih Lai, Yao Cheng Yu, Yi-Min
Tuan, Hui Shan Kuo
iNSIGHT Center, National Taiwan
University, Taiwan

Effects of the Electromobility
on Rescue Service Provisions

Francoise Meyer, Alexander Rannacher,
Sönke Duckwitz
RWTH Aachen University, Germany

Dinh Son Nguyen
Sofiene Dellagi

Abstracts: see page 52

Driving 'Soft' Factors for
Sustaining Quality Excellence:
Perceptions from Quality
Managers
Mehran Doulatabadi, Sha'ri Mohd
Yusof
Universiti Teknologi Malaysia, Malaysia

Robust On-line Monitoring for
Univariate Processes Based on
Two Sample Goodness-of-fit
Test
Chen Zhang, Nan Chen
National University of Singapore,
Singapore

Critical Success Factors of Six
Sigma: An Overview

TRIZ Based Approach to
Improve Public Bus Service
Quality

Diego Tlapa1, Jorge Limon1, Yolanda
Báez1, Delia Valles-Rosales2
1
Autonomous University of Baja California,
Mexico2
New Mexico State University, UnitedStatesDesign and Development Waste
Management System in Hong
Kong

Human Values for
Implementation of Total
Quality Management: Proposed
Conceptual Framework of an
Automated Tool

Christina Wirawan, Astrid Ayu
Maranatha Christian University, Indonesia

Carman Ka Man Lee, Trevor Wu
The Hong Kong Polytechnic University,
Hong Kong SAR

Maximizing Service Value: A
Case Study of Online Hotel
Reservation

Napaporn Rianthong1, Aussadavut
Dumrongsiri1, Youji Kohda2
1
Thammasat University, Thailand
2
Japan Advanced Institute of Science andTechnology, Japan

Muhammad Noman Malik, Sha'ri
Mohd Yusof
Universiti Teknologi Malaysia, Malaysia

Factors that Impact Project
Quality at a Nuclear Power
Plant in South Africa

Stanley Fore, W. Galetta
Cape Peninsula University of Technology,
South Africa

Improving Overall Equipment
Effectiveness (OEE) Throughthe Six Sigma Methodology in a
Semiconductor Firm: 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

19

Pei-Lee Teh
Kuan Eng Chong

Abstracts: see page 53

Optimal Integrated
Maintenance Policy Based on
Quality Deterioration

Meriem Kouki1, Sofiene Dellagi1, Zied
Achour1, Walid Erray2
1
University of Lorraine, France
2
ArcelorMittal Maizières Research SA,
FranceA Study on the Optimization of
Wafer Pre-treatment Conditions
for Thin Film Stability Monitor
Taicheng Kevin Gong, Yanju Lisa Yu,
Yan Kaily Cao, Xueliang Ruben Zhang,
Kaiyuan Kevin Chang, Weiting Kary
Chien
Semiconductor Manufacturing
International Corporation, China

Monitoring Correlation
Structures Stability in Foreign
Exchange Market

Siew Lee Gan1, Maman Abdurachman
Djauhari2, Zuhaimy Ismail1
1
Universiti Teknologi Malaysia, Malaysia
2
Universitas Pasundan, Indonesia

Control of pH Neutralization
System Using Nonlinear Model
Predictive Control with
I-controller
Ayman Hermansson1, S Syafiie2
1
SEGi University, Malaysia
2
Universiti Putra Malaysia, Malaysia

An Efficient Discrete Particle
Swarm Optimization for
Solving Multi-mode
Resource-constrained Project
Scheduling Problems
Jianshuang Cui, Liruoyang Yu
University of Science and Technology
Beijing, China

Reliability Analysis Based onThree-dimensional Stochastic
Differential Equation for Big
Data on Cloud Computing

Yoshinobu Tamura1, Kenta Miyaoka2,
Shigeru Yamada2
1
Yamaguchi University, Japan2
Tottori University, Japan

Supply Chain Management II

Supply Chain Management III

Manufacturing Systems II

11/12/2014 09:00 - 10:30
Room: Caymans 3

11/12/2014 11:00 - 12:30
Room: Caymans 3

11/12/2014 13:30 - 15:00
Room: Caymans 3

Chairs:Chairs:Chairs:Nunzia Carbonara
Egon Mueller

Abstracts: see page 54

Sourcing Decision with
Correlated Supplier Disruption:
An MV Framework
Pritee Ray, Mamata Jenamani
Indian Institute of Technology Kharagpur,
India

A Brief Review on Information
Sharing within Supply Chains

Farnoush Farajpour, Mohammad Taghi
Taghavifard
Allameh Tabataba'i University, Iran

Ant Colony Optimization for
One-to-Many Network
Inventory Routing Problem
Lily Wong, Noor Hasnah Moin
University of Malaya, Malaysia

Analysis of Quantity Discounts
for Multi-period Production
Planning for Single Supplierand Retailer Under Uncertain
Demands
Okihiro Yoshida1, Tatsushi Nishi1,
Guoqing Zhang2
1
Osaka University, Japan
2
University of Windsor, Canada

The Cluster Policies to Nation
Competitiveness Based on
Business Ecosystem Perspective- Case Study of Taiwanese
Smart Phone Industry
Yan-Ru Li
Aletheia University, Taiwan

Mitigating Supply Chain Risk:
A Real Options Approach
Nunzia Carbonara, N. Costantino,
Roberta Pellegrino
Politecnico di Bari, Italy

Yan-Ru Li
Abdul Rahman Abdul Rahim

Abstracts: see page 55

SCM Trends and Challenges Implications from a
Cross-industry Analysis

Felix Friemann1, Markus Gerschberger2,
Kathrin Reitner2, Paul Schönsleben1
1
Swiss Federal Institute, Switzerland
2
Upper Austria University of Applied
Sciences, Austria

Vehicle Routing with Time
Window for Regional Network
Services - Practical Modelling
Approach

Iman Niroomand1, Amir H. Khataie1,
Masoud Rahiminezhad Galankashi2
1
Canada Post, Canada
2
Universiti Teknologi Malaysia, Malaysia

Development of a General
Collaboration Model - Basis for
the Establishment of a
Collaboration Compass

Xiao-li Chen, Antonia Mahling, Ralph
Riedel, Egon Müller
Technische Universität Chemnitz, Germany

Solving Inventory Routing
Problem with Backordering
Using Artificial Bee Colony

Huda Zuhrah Ab Halim, Noor Hasnah
Moin
University of Malaya, Malaysia

Big Data Analytics for Supply
Chain Management

Jens Leveling1, Matthias Edelbrock2,
Boris Otto1
1
Fraunhofer-Institute for Material Flow andLogistics IML, Germany
2
Technical University of Dortmund,
Germany

Multi Objective Supply Chain
Network Design Considering
Customer Satisfaction

Mahdi Bashiri1, Hanieh Khorasani2,
Mahdyeh Shiri1
1Shahed University, Iran
2
Eyvanekey Institute of Higher Education,
Iran

Supply Chain Risk
Management: A Method andTool Contributing to the
Operational Aspects

Elena Rokou1, Konstantinos
Kirytopoulos2
1
National Technical University of Athens,
Greece2
University of South Australia, Australia

Urs Buehlmann
Bimal Nepal

Abstracts: see page 56

Joint Optimization of
Production-maintenance Plans
Based on Optimal Production
Rates
Jeremie Schutz
Université de Lorraine, France

A New Bi-objective
Mathematical Model for
Sustainable Dynamic Cellular
Manufacturing Systems

Farzad Niakan, Armand Baboli ,Thierry Moyaux, Valerie
Botta-Genoulaz
Université de Lyon, France

Optimization of Green
Electrical Discharge Machining
Using an Integrated Approach
Jagadish1, Amitava Ray2
National Institute of Technology Silchar,
India
2
Jalpaiguri Government Engineering
College, India
1

A Conceptual Framework for
the Performance Assessment of
Lot Release Policies
Rashmi Singh, Muthu Mathirajan
Indian Institute of Science, India

Applying Lean and TOC to
Improvement Delivery
Performance for Machine Tool
Manufacturers

Chuang-Chun Chiou1, T.W. Jhang2, Y. X.
Deng2, J.T. Tsai2, C. Perng2
1Dayeh University, Taiwan
2Tunghai University, Taiwan

Interactive Virtual Machining
System Using Informative Data
Structure and On-site Machine
Tool Status
Aini Zuhra Abdul Kadir1, Xun Xu2
1
Universiti Teknologi Malaysia, Malaysia
2
University of Auckland, New Zealand

A Simulation Based System for
Manufacturing Process
Optimisation

Hossam Ismail1, Lina Wang2, Jenny
Poolton2
1
Xian Jiaotong-Liverpool University, China
2
University of Liverpool, United Kingdom

20

Manufacturing Systems III

Information Processing & Engineering
II

Technology & Knowledge
Management II

11/12/2014 15:30 - 17:00
Room: Caymans 3

11/12/2014 09:00 - 10:30
Room: Caymans 4

11/12/2014 11:00 - 12:30
Room: Caymans 4

Chairs:Chairs:Chairs:Nihal Jayamaha
Chuang-Chun Chiou

Abstracts: see page 57

SC Johnson Lim
Abdul-Wahid Saif

Abstracts: see page 58

Michael Gepp
Seung Ki Moon

Abstracts: see page 59

Multi-skeleton Model for
Top-down Design of Complex
Modular Products

Development of a Methodology
for Cost-oriented Ramp-up
Design

Methodology for Resource
Allocation in the Tool and Die
Industry

Optimized Tool Path Planningin 5-Axis Flank Machining
using Electromagnetism-like
Algorithms

Discovering Product Feature
and Affective Associations
Through Collaborative Tagging

Measuring the Quality of
Cooperation inInterdisciplinary Research
Clusters

Dexin Chu, Xuening Chu, guolin Lv,
Yuliang Su, Dongping Chen
Shanghai Jiao Tong University, China

Chi Lung Kuo1, Chih-Hsing Chu1, Ying
Li2, Xinyu Li2, Liang Gao2
1
National Tsing Hua University, Taiwan
2
Huazhong University of Science &Technology, China

Signal Propagation Model
Calibration Under Metal Noise
Factor for Indoor Localization
by Using RFID

Achim Kampker, Christoph Deutskens,
Andreas Maue
RWTH Aachen University, Germany

S. C. Johnson Lim1, Suhaili Jawaris2
1
University Tun Hussein Onn Malaysia,
Malaysia
2
Universiti Tun Hussein Onn Malaysia,
Malaysia

Construction of an Interactive
Behavioral and Feature
Structure Model for Facebook

Seng Fat Wong, Xue Ni
University of Macau, Macau

Tsung-Yi Chen1, Meng-Che Tsai2,
Yuh-Min Chen2
1
Nanhua University, Taiwan
2
National Cheng Kung University, Taiwan

Experiential Learning: Lean
Team at Virginia Tech

SWOT Analysis of NPTEL
Knowledge Portal

The Backward Growing
Method for Constructing 3D
Process Models in the
Machining Process PlanningLife Cycle Inventory Analysis
and Equivalent Carbon Dioxide
Emissions Calculation of the
Mining and Ore Concentration
Processes of PGM at The Anglo
American Platinum Ltd, South
AfricaUrs Buehlmann1, Omar Espinoza2
1
Virginia Tech, United States
2
University of Minnesota, United States

Jinfeng Liu, Xiaojun Liu, Yalong Cheng,
Zhonghua Ni
Southeast University, China

Proposal of a Decision Making
Model to Select the Best Fitting
Cost Estimation Technique inan ETO-MC Environment

Aldo Duchi1, Golboo Pourabdollahian2,
Davide Sili2, Matteo Cioffi2, Marco
Taisch21
ETH Zurich, Switzerland
2
Politecnico di Milano, Italy

Kalyan Kumar Bhattacharjee
Indian Institute of Technology Delhi, India

Junior Mabiza1, Charles Mbohwa1,
Michael Mutingi2
1
University of Johannesburg, South Africa
2
Namibia University of Science &Technology, Namibia

Guenther Schuh, Martin Pitsch, Thomas
Kühn, Advan Begovic
RWTH Aachen University, Germany

Stefan Schröder, Markus Kowalski,
Claudia Jooss, R. Vossen, Anja Richert,
Sabina Jeschke
RWTH Aachen University, Germany

Do We Miscount Patent
Citations? An Empirical Studyon the Impact of Overlooking
the Citations to a Patent's
Pre-grant Publication

Chung-Huei Kuan, Hsiang-Jui Cheng
National Taiwan University of Science andTechnology, Taiwan

The Contribution ofTechnology to Improving
Meanings: The Quantitative
Analysis of Meanings
Satoru Goto, Shuichi Ishida
Ritsumeikan University, Japan

Advance of Research on
Technology Acceptance

Ruiping Yang, Liyan Zhou, Xinxin Hou,
Yiming Xiang
Zhejiang Gongshang University, China

Readiness of Malaysian
E-Commerce Companies toHarness Web2.0’s Competitive
Advantage: An Engineering
Management Approach
Ching Chieh Kiu1, Chien-Sing Lee2
1
UCSI Universitty, Malaysia
2
Universiti Tunku Abdul Rahman,
Malaysia

Educational Leadership: The
Effects of Leadership inStudents Educational
Performance in Engineering
Institutes

Subhashini Gopal Krishnan, Vinesh
Thiruchelvam
Asia Pacific University of Technology andInnovation, Malaysia

21

Information Processing & Engineering III

Technology & Knowledge
Management III

E-Business & E-Commerce

11/12/2014 13:30 - 15:00
Room: Caymans 4

11/12/2014 15:30 - 17:00
Room: Caymans 4

11/12/2014 09:00 - 10:30
Room: Kaywest

Chairs:Chairs:Chairs:Seng Fat Wong
Chih-Hsing Chu

Abstracts: see page 60

Chung-Huei Kuan
Ralph Riedel

Abstracts: see page 61

Jindong Li
Hing Kai Chan

Abstracts: see page 62

An Efficient Method for
Checking Overlaps andConstruction Algorithms for
the Bitmap Shape Packing
Problem

Fasten Your Seatbelts,
Turbulence Ahead:
Environmental Turbulence as a
Determinant of Absorptive
Capacity

Adoption of Near Field
Communication for Mobile
Payment: Evidence from Macau

Managing Conflict inDistributed Projects

A Preliminary Survey on
Modeling Customer
Requirements from Product
Reviews Under Preference
Uncertainty

The Implementation Strategy of
Key Task for ERP Activities

Hybrid Intelligent Patent
Mapping for Offshore Wind
Industry Analysis

Keng-Chieh Yang1, Conna Yang2,
Chia-Hui Huang3, Po-Hong Shih2, Su Yu
Yang Yang2
1
Hwa Hsia Technology of Univeristy,
Taiwan2
National Chiao Tung University, Taiwan
3
National Taipei College of Business, Taiwan

Sho Fukatsu, Yannan Hu, Hideki
Hashimoto, Shinji Imahori, Mutsunori
YagiuraNagoya University, Japan

Ramin Shahzadi, Mohsen Sadeghi, Asal
Aghaz
Amirkabir University of Technology, Iran

Analysis of Scientific Research
Structure in Singapore Using
Bibliometrics and Network
Analysis for Understanding
Their Characteristics of R&D: A
Case Study of Biomedical Field
Ken Hayashima, Haruki Sawamura,
Ichiro Sakata, Yoichiro Matsumoto,
Hajime Sasaki
The University of Tokyo, Japan

Modelling Financial Flow of
the Supply Chain

Mohammad Hossein Jahangiri, Franjo
Cecelja
University of Surrey, United Kingdom

Role of Walsh Codes andPseudorandom Noise
Sequences in CDMA

Puneet Chawla, Balwinder SinghPEC University of Technology, India

Learning from Past Changes Towards a Learning-oriented
Engineering ChangeManagement

Christoph Hollauer, Martina Wickel,
Udo Lindemann
Technische Universität München, Germany

A Study of Applying
Severity-weighted Greedy
Algorithm to Software Test
Case Prioritization During
Testing

Valeria Stulova, Mait Rungi
Tallinn University of Technology, Estonia

Anies Zakaria, S. C. Johnson Lim
University Tun Hussein Onn Malaysia,
Malaysia

Chin Yuan Fan1, Shou Hao Chang1, P. S.
Fan2, L. F. Kao3
1
National Applied Research Laboratories,
Taiwan2China University of Science andTechnology, Taiwan
3
National Taipei University of Technology,
TaiwanUsers' Acceptance of IT and Its
Impact on Knowledge Sharing:
A Case in the South African
Banking Industry
Abdulkadir Kolawole Bello, Kai-Ying
Chan
University of Pretoria, South Africa

Interpretive Structural Modelof Key Performance Indicators
for Sustainable Manufacturing
Evaluation in Cement Industry
Elita Amrina, Annike Lutfia Vilsi
Andalas University, Indonesia

What Innovation Managers
Really Do - An Empirical Study
About Tasks, Skills and Traits
of Innovation Managers inGermany

Kin Meng Sam1, Chris Chatwin2, Jing
Xin Zhang1
1
University of Macau, China
2
University of Sussex, United Kingdom

Te- King Chien, Ming-Sian Cheng
National Formosa University, Taiwan

Consumer Attitudes Toward
Online Video Advertising: An
Empirical Study on YouTube as
Platform

The Role of Perceived Value on
Customer E-shopping Intention
Using Technology Acceptance
Model, (TAM)
Ali Hajiha1, Mohammad Reza
Shahriari1, Nayereh Vakilian2
1
Islamic Azad University, United ArabEmirates2
Islamic Azad University, Iran

Probation of the Private
Enterprises' Informatization in
Wenzhou
Jindong Li, Jixuan Feng
Zhejiang Wanli University, China

Cloud Manufacturing for aService-oriented Paradigm
Shift

Yuqian Lu, Xun Xu
University of Auckland, New Zealand

Maximilian A. MaierFriedrich-Alexander-Universitaet
Erlangen-Nürnberg, Germany

Yen-Ching Hsu, Kuan-Li Peng, Chin-Yu
Huang
National Tsing Hua University, Taiwan

22

Reliability & Management Engineering

Project Management II

Systems Modeling & Simulation II

11/12/2014 11:00 - 12:30
Room: Kaywest

11/12/2014 13:30 - 15:00
Room: Kaywest

11/12/2014 15:30 - 17:00
Room: Kaywest

Chairs:Chairs:Chairs:David Valis
Sanjay Kumar Palei

Abstracts: see page 63

Abstracts: see page 64

Software Hazard Rate
Modeling with Multiple
Change-Point Occurrences
Shinji Inoue, Shigeru Yamada
Tottori University, Japan

Reliable System Design Under
Uncertainty
Mengqi Li, Minghong Han, Jiaqi Xu
Beihang University, China

Integration of Failure
Prediction Bayesian Networks
for Complex Equipment System
Weitao Si, Zhiqiang Cai, Shudong Sun,
Shubin Si
Northwestern Polytechnical University,
China

Prediction of Vehicle further
Operation and Fault Based on
Tribo-diagnostic Data

David Valis , Libor Zak , J. Chaloupka
1
University of Defence, Czech Republic
2
University of Technology, Czech Republic
3
Military Technical Research Institute,
Czech Republic1

Thierry Coudert
Premaratne Samaranayake

2

3

Estimation of System Residual
Useful Life Based on Selected
Tribo Data
David Valis1, Ondrej Pokora2
1
University of Defence, Czech Republic
2
Masaryk University, Czech Republic

Knowledge Transfer in
Project-based Organizations. A
Conceptual Model for
Investigating Knowledge Type,Transfer Mechanisms andTransfer SuccessCorro van Waveren1, Leon Oerlemans2,
Marthinus Pretorius1
1
University of Pretoria, South Africa
2
Tilburg University, Netherlands

A Conceptual
Multi-dimensional Evaluation
Model for New Product
Portfolio Management – Using
Hybrid Fuzzy Model of
AHP-DEA

Kiranmayi Pulipaka, Muthu Mathirajan
Indian Institute of Science, India

A Recommendation on PLUS
Highway Development: A
Social Network Analysis
Approach

Norhaidah Mohd Asrah1, Maman
Abdurachman Djauhari2
1
Universiti Tun Hussein Onn Malaysia,
Malaysia
2
Universitas Pasundan, Indonesia

Evaluating Risk Factors in the
Operation of Virtual Teams in
ICT Projects

Nikos Rassias1, Konstantinos
Kirytopoulos2
1
National Technical University of Athens,
Greece2
University of South Australia, Australia

Instructional Design for Online
Course Delivery in Engineering
Management: Synthesizing
Learning Styles, Pedagogical
Perspectives and Contingency
Factors
Senevi Kiridena1, Premaratne
Samaranayake2, David Hastie1
1
University of Wollongong, Australia
2
University of Western Sydney, Australia

Identifying Critical ProjectManagement Techniques andSkills for Construction
Professionals to Achieving
Project Success

Jui-Sheng Chou, Ngoc-Tri Ngo
National Taiwan University of Science andTechnology, Taiwan

23

Syafiie Syafiie
Aini Zuhra Abdul Kadir

Abstracts: see page 65

An Ising-based Approach to the
Study of Inter-organizational
Team Dynamics
Ilaria Giannoccaro, Ilario De Vincenzo,
Giuseppe Carbone
Polytechnic University of Bari, Italy

Individual Versus Integrated
Simulation Techniques in
Healthcare Applications

Mohammed Abdelghany1, Amr B.
Eltawil2
1
Egypt-Japan University of Science andTechnology (E-JUST), Egypt
2
Egypt - Japan University of Science andTechnology (E-JUST), Egypt

CFD Analysis of Chlorine Gas
Dispersion In Indoor Storage:
Temperatures with Wind
Velocities Effect Studies
Mohsen Safakar, S Syafiie, Robiah Bt.
Yunus
Universiti Putra Malaysia, Malaysia

Depicting Product-service
Systems in the Early Phase of
the Product Development

Daniel Kammerl1, Martin Enseleit1,
Robert Orawski1, Danilo MarcelloSchmidt2, Markus Mörtl1
1
Technische Universität München,
Germany
2Technical University of Munich, Germany

No Clutch Fuzzy
Logic-controlled Hybrid
Transmission

Essam Esmail1, Hamed Hussain2,
Rahman Hussain2
1
University of Al Qadissiyah, Iraq
2
Middle Technical University, Iraq

Fractional Order PI Controller
for Wind Farm Supervision

Boualem Benlahbib1, Noureddine
Bouarroudj1, Farid Bouchafaa2, Bachir
Baton1
1
Unité de Recherche Appliquée en Energies
Renouvelables, URAER, Algeria
2
Laboratoire d'Instrumentation, Facultéd'Electronique et d'Informatique USTHB,
Algeria

Multi-objective Genetic
Algorithm in Green
Just-in-time Logistics

Ashkan Memari, Abdul Rahman Abdul
Rahim, Robiah Ahmad
Universiti Teknologi Malaysia, Malaysia

Safety, Security & Risk Management

Production Planning & Control II

Human Factors II

11/12/2014 09:00 - 10:30
Room: Cancun

11/12/2014 11:00 - 12:30
Room: Cancun

11/12/2014 13:30 - 15:00
Room: Cancun

Chairs:Chairs:Chairs:Netai Chandra Karmakar
Elena Rokou

Abstracts: see page 66

A Taxonomy of Security andPrivacy Requirements for theInternet of Things (IoT)

Israa Alqassem, Davor Svetinovic
Masdar Institute of Science and Technology,
United Arab Emirates

Friction Measurements on
Floors Under SolidContaminated Conditions
Kai-Way Li, T-Y Pei
Chung Hua University, Taiwan

Understanding Hazards andRisks in Modern Sociotechnical
Systems: Systemic Approach to
Identify Human,
Organizational and Technical
Factors
Haftay Hailay Abraha, Jayantha P.
Liyanage
University of Stavanger, Norway

Effects of Demography andOccupational Traits on
Consequence of Injury ofUnderground Coal Miners

Sanjay Kumar Palei, Netai Chandra
Karmakar, Rutwick S. M. Reddy
Indian Institute of Technology (B.H.U),
India

Risk Analysis and Rescue
Operation for Machine
Roomless Lift: A Case Study

Choo Yong Lee1, Chin Huat Lim2
1
Robert Bosch Sdn. Bhd., Malaysia
2
Shinyou Elevator Manufacturing Sdn.
Bhd., Malaysia

Modeling of Tolerable Repair
Time Without Affecting System
Reliability
Aishwarya Mishra, Pranab Murari,
Sanjay Kumar Palei, Suprakash Gupta
Indian Institute of Technology (B.H.U),
India

Ahmed El-Bouri
Bholanathsingh Surajbali

Abstracts: see page 67

Planning and Scheduling acrossthe Supply Chain:
Simulation-based Validation of
the Unitary Structuring
TechniquePremaratne Samaranayake1, Senevi
Kiridena2, Dalin Cai2
1
University of Western Sydney, Australia
2
University of Wollongong, Australia

Optimal Planning of Biodiesel
Supply Chain Using a Linear
Programming Model
Maryam Valizadeh, Syafiie Syafiie, I.S.
AhamadUniversity Putra Malaysia, Malaysia

A Simple Multiple Objective
Linear Programming Model on
Customization Manufacturingfor Metal Steel Making
EffectivenessEarl-Juei Wang1, Chin-Shih Tsou2
1
National Pingtung University of Scienceand Technology, Taiwan
2
National Taipei University of Business,
TaiwanMixture of Two Different
Scheduling Policies in a Classof Discrete Event Systems
Hiroyuki Goto, Hajime Yokoyama
Hosei University, Japan

A Cloud-based Approach for
Collaboration ofServiced-enhanced Products

Bholanathsingh Surajbali, Adrian
Juan-Verdejo, Holger Baer, Spiros
Alexakis, Gerald Hübsch, Markus Bauer
CAS Software AG, Germany

Perminderjit Singh
Chien-Sing Lee

Abstracts: see page 68

Selecting a Shift System Basedon the Analytical Hierarchy
Process
Alexander Rannacher, Susanne
Mütze-Niewöhner, Christopher M.
Schlick
RWTH Aachen University, Germany

Differentiated Customer
Needs’ Analysis for User
Experience

Danilo Marcello Schmidt, Josu Urquidi
Guerrero, Ioanna Michailidou, Udo
Lindemann
Technical University of Munich, Germany

Deriving the Relationship
Between User Satisfaction on
Engine Sounds and Affective
Variable Sets Based on
Classification Algorithms

Wonjoon Kim, Gawon Kim, Yushin Lee,
Myung Hwan Yun
Seoul National University, South Korea

Gesture Interface
Appropriateness Analysis on
Smart TV Functions

Jaehong Lee, Byungki Jin, Soo-chan Jee,
Jiyoon Han, Myung Hwan Yun
Seoul National University, South Korea

Employee Involvement andTraining in Environmentally
Conscious Manufacturing
Implementation for Indian
Manufacturing Industry

Perminderjit Singh1, Kuldip Singh
Sangwan2
1
PEC University of Technology, India
2
Birla Institute of Technology and Science,
Pilani, India

A Toolkit Based on NK Fitness
Landscape for Behavioral
Investigation in Complex
Supply Chains
Ilaria Giannoccaro
Politecnico di Bari, Italy

24

Intelligent Systems II

Poster Session

11/12/2014 15:30 - 17:00
Room: Cancun

11/12/2014 15:00 - 15:30
Room: Jamaica

Chairs:Samreen Amir
Chin Yuan Fan

p.70

Abstracts: see page 69

A Priority Based Optimization
Algorithm for Multi-objective
Integrated Process Planningand Scheduling Problem

Alireza Ghelichi, Ahmed Abdelgawad
Central Michigan University, UnitedStatesp.70

Muhammad Farhan Ausaf, Xinyu Li,
Liang Gao
Huazhong University of Science andTechnology, China

The Knowledge Sharing Modelon Supply Chain Simulation
Using Recurrent Neural
Network

p.70

Samreen Amir1, Ali Akbar Siddiqui2,
Nimrah Ahmed2, Bhawani Shankar
Chowdhry3
1
Hamdard University, Pakistan
2
Sir Syed University of Engineering &Technology, Pakistan
3
Mehran University of Engineering &Technology, Pakistan

Physical Layer Design of
Optical Networks with Practical
Considerations
Kin Fan Poon1, Anis Ouali1, Beum Lee2
1
Khalifa University of Science, Technology
and Research, United Arab Emirates
2
Etisalat British Telecom Innovation Centre,
United Arab Emirates

p.70

Message Sequencing ofRational and Emotional
Appeals: A Study on
Consumer Brand and Product
Attitudes

p.70

p.70

p.70

Optimal Inventory Policies for
Remanufacturing Inventory
Systems with Multiple Returns
Xue-Ming Yuan1, Z. L, Tan2, Amrik
Singh Bhullar1
1Singapore Institute of Manufacturing
Technology, Singapore
2
Nanyang Technological University,
Singapore

Olaf Sauer
Fraunhofer IOSB, Germany

p.70

p.71

p.70

Evaluation of Equipment
Renewal Based on
Combination Weighting
MethodLei Chen1, Chunqing Wang1, Xuedong
Liang1, Zhaoxia Guo1, Da Wang2
1
Sichuan University, China
2
Sichuan Aerospace Industry Group Co.,
Ltd, China

p.71

Applied Cognitive Psychology
in Software Debugging
Process to Predict Software
Reliability Growth

Kuei-Chen Chiu
National Cheng Kung University, Taiwan

Least Cost Design of Green
Buildings by Genetic
Algorithms

Kang-Ting Tsai, Min-Lun Lyu,
Min-Der Lin
National Chung Hsing University, Taiwan

p.71

Performance Analysis ofAutonomous Vehicle Storageand Retrieval Systems
Depending on Storage
Management Policies

Sascha Kaczmarek, Jonas Goldenstein,Michael ten Hompel
TU Dortmund, Germany

p.71

Integrating Fuzzy Logic to
Systems Dynamics for
Decision Support

Ifeyinwa Orji, Sun Wei
Dalian University of Technology China,
China

p.71

Effect of Inspirational andMotivational Leadership on
Creativity and Innovation in
SMEs

Wilson Maladzhi1, Bingwen Yan2
1
University of South Africa, South Africa
2Cape Peninsula University of Technology,
South Africa

p.71

In Search of Measuring
Organizational Culture: ICT
Peculiarities

Maria Kütt, Mait Rungi
Tallinn University of Technology, Estonia

p.72

A New Conceptual Design
Approach for Context-aware
Product Service System

Dongping Chen, Xuening Chu, Yuliang
Su, Dexin Chu
Shanghai Jiao Tong University, China

A Integrated Inventory Modelwith Imperfect Production andInspection Under Trade Credit
Financing
Chia-Hsien Su1, Liang-Yuh Ouyang2
1
Tungnan University, Taiwan
2
Tamkang University, Taiwan

A study on Developing the
Indicators of Energy
Conservation and Carbon
Reduction for the Business

Liang-kong Lin1, Walter Den2,
Ying-Chyi Chou1, Ching-Hua Lu3,
Hsin-Yi Yen4
1
Tunghai University, Taiwan
2Tunghai Universit, Taiwan
3
National Chiao-Tung University, Taiwan
4Tunghai University , Taiwan

Developments and Trends in
Shopfloor-related ICT Systems

25

p.71

A Conceptual Neural Modelfor Business Selection in Multi
Business Unit Firms
Saeed Khodamoradi, Jalal Abdellahi
Shahed University, Iran

An Efficient Genetic
Algorithm for Flexible
Job-Shop Scheduling Problem
Ali Mokhtari Moghadam, Kuan Yew
Wong, Hamed Piroozfard
Universiti Teknologi Malaysia, Malaysia

Weng Marc Lim, Pei-Lee Teh, Pervaiz
Khalid Ahmed
Monash University, Malaysia

Developing Target Marketing
Models for Personal Loans
Jen-Ying Shih1, Wun-Hwa Chen2,
Yu-Jung Chang3
1
National Taiwan Normal University,
Taiwan2
National Taiwan University, Taiwan
3
Academia Sinica, Taiwan

p.71

Solving an Economic andEnvironmental Dispatch
Problem Using Evolutionary
Algorithm

Forhad Zaman, Ruhul Sarker,
Tapabrata Ray
University of New South Wales, Australia

Assessing Survivability for
Damaged Aircraft in the
Combat Environment

Yang Pei1, Tao Cheng1, Min Xie2
1
Northwestern Polytechnical University,
China
2
City University of Hong Kong, Hong
Kong SAR

The Economic Analysis Modelof Operations Strategy
Chun-Ying Shen
Chien Hsin University of Science andTechology, Taiwan

Fumiaki Saitoh
Aoyama Gakuin University, Japan

Implementation of Line
Tracking Algorithm using
Raspberry Pi in Marine
Environment

A Study on RFID-based
Kanban System in Inventory
Management

p.71

Investigating Factors Behind
Choosing a Cryptocurrency
Aamna Al Shehhi, Mayada Oudah,
Zeyar Aung
Masdar Institute of Science andTechnology, United Arab Emirates

p.72

Model of Human Reliability
for Manual Workers in
Assembly Lines

Yolanda Báez1, Manuel Rodríguez2,
Jorge Limon1, Diego Tlapa1
1Autonomous University of Baja
California, Mexico
2
Ciudad Juárez Institute of Technology,
Mexicop.72

Influence of Online Store
Belief and Product Category on
Impulse Buying: An EmpiricalInvestigation on Consumer
Perceptions
Qiong Zhou1, Xi Chen1, Yi-Wen Chen2
1
Institute of Psychology, Chinese Academyof Sciences, University of Chinese
Academy of Science, China
2
Institute of Psychology, Chinese Academyof Sciences, China

p.72

Exploring Effects of Ecosystem
Clockspeed on Product
Performance
Saku Mäkinen1, Ozgur Dedehayir2,
Roland Ortt3
1
Tampere University of Technology,
Finland2
Leiden University, Netherlands
3
Delft University of Technology,
Netherlands

p.72

Impact of Lean Development
System Implementation on the
Product Development Process
Uwe Dombrowski, Kai Schmidtchen,Philipp Krenkel
Technische Universität Braunschweig,
Germany

p.72

Internet-of-things Disrupting
Business Ecosystems: A Case
in Home Automation

Saku Mäkinen
Tampere University of Technology, Finland

p.72

Postural Load Balancing in
Daily Personnel Planning in an
Assembly Line for Trailer
Production by Working
Posture Analysis
Christopher Brandl, Alexander
Mertens, Jennifer Bützler, Christopher
M. Schlick
RWTH Aachen University, Germany

p.72

An Enterprise System Virtual
Factories Platform for
Collaborative Business
Environment
Yuqiuge Hao, Ahm Shamsuzzoha,
Petri Helo
University of Vaasa, Finland

p.72

Factors Affecting ProductQuality and Reliability: A
Comparison of Developed andDeveloping Countries

Pei-Lee Teh1, Dotun Adebanjo2, Pervaiz
Khalid Ahmed1
1
Monash University, Malaysia
2
University of Greenwich, United
Kingdomp.73

Towards Recursive
Plan-Do-Check-Act Cycles forContinuous Improvement
Michael Timo Schmidt1, Fatos Elezi1,
Iris Tommelein2, Udo Lindemann1
1Technische Universität München,
Germany
2
University of California, United States

26

Abstracts
Session
Date
Time
Room
Chairs

Decision Analysis & Methods I
10/12/2014
13:30 - 15:00
Casablanca
Shin-Guang Chen, Shino Iwami

Simultaneous Consideration of Remanufactured and New
Products in Optimal Product Line Design
Ridvan Aydin, C.K. Kwong, Ping Ji
The Hong Kong Polytechnic University, Hong Kong SAR

Remanufactured products are normally remanufactured from returned
new products. Thus, they can be treated as product variants under the
product line of the new products and should be considered together
with new products in product line design to obtain the maximum profit
and market share of the product line. This paper proposes amethodology for optimal product line design with simultaneousconsideration of remanufactured and new products which mainly
involves development of dynamic demand models and multi-objective
optimization. The optimization model is solved by nondominatedsorting genetic algorithm II (NSGA-II) and optimal Pareto solutions of
product line design that include specifications and prices of bothremanufactured and new products, estimated profits and market share
as well as the time of launching remanufactured products. A case study
was conducted to illustrate the effectiveness of the proposed
methodology.

The Optimal Ordering Quantity with Uncertain Food's
Safety Environment
Shu-Yen Hsu, Tyrone T. Lin
National Dong Hwa University, Taiwan

Under the deterioration of food safety environment of food suppliers
and the uncertainty of food safety of the purchased food by individual
manufacturer, this study aims to establish a mathematical model
standard basis as a reference for decision evaluation on the optimalorder quantity of food raw materials to satisfy the maximum expected
returns, according to the food safety situations and market acceptance(optimistic/normal/pessimistic), thus affecting procurement costs andselling prices.

Reduced Recursive Inclusion-exclusion Principle for the
Probability of Union Events
Shin-Guang Chen
Tungnan University, Taiwan

The probability of union events is always important in management
science. Many real life applications use such probability in their core
implementations. The most popular method to calculate the probabilityof union events is the Inclusion-Exclusion Principle (IEP), which
originates from the idea of Abraham de Moivre (1718). However, thecomputation complexity is exact O(2^n), and no matter what the events
are, the complexity order can not be decreased. A much efficientmethod namely Recursive Inclusion-Exclusion Principle (RIEP) wasconstructed by rearranging its equation to its recursive form. The
computation complexity is also O(2^n) in the worse cases, but it usuallyhas 10 times efficiency than IEP in the normal cases. This paper
proposed a novel reduction method for the RIEP to calculate theprobability of union events, which can obtain over 100 times efficiency
than RIEP in normal cases, and in the worse cases, it has at least thesame complexity as that of RIEP. Some benchmarks on network
reliability applications show that the proposed approach is very
efficient.

27

A Bi-level Algorithm for Product Line Design and Pricing
Shuli Wu, Songlin Chen
Nanyang Technological University, Singapore

Product line design and pricing are crucial activities for a firm's successespecially in a competitive market with high product variety. Recent
literature has reported various profit-maximization models withproduct mix and prices as decision variables. Product mix is a discretevariable while price is treated as a continuous variable. Optimizing bothmix and price simultaneously can be challenging. This paper utilizes
discrete choice model and activity-based costing to formulate market
demand and manufacturing cost of a product line and proposes abi-level algorithm, which uses genetic algorithm for optimizing productmix and differential evolutionary for optimizing prices for a productline. A case study on smart phones is carried out to illustrate thisoptimization algorithm.

An Optimal Electricity Consumption Decision with a
Limited Carbon Emission Concept
Tyrone T. Lin, Hui-Chen Lan
National Dong Hwa University, Taiwan

This paper aims to explore the strategy of electricity-using industries’
optimal electricity selection by using the binomial option pricing modelto analyze the values of various stages in the process. Due to variable
electricity using and the worldwide regulation of carbon emissions, thispaper tries to investigate the hedge behavior of conservative andadventure energy-using industries’ carbon emission strategy and builda maximum financial model for decision-making and the flexible
approach of strategy management. How to provide the policymakers ofenterprises with a reference of planning the optimal electricity
consumption in every decision-making time is the most important. This
paper contributes to increase the eco-economic value of enterprises
under the restriction of carbon emissions.

An Integrated Data Envelopment Analysis (DEA) and Hedge
Accounting Approach for Risk Management Efficiency
Measurement: Evidence From Derivative Market in
Asia-pacific Banks
Shahsuzan Zakaria, Sardar M. N. Islam
Victoria University, Australia

Financial derivatives products are believed to be significant tools for
mitigating market risks. Accounting practice treats transactions on
financial derivatives to highlight its role on the items being hedged(hedged items) but it does not represent a holistic context of thederivative instrument used, particularly as a risk management tool.
This study develops an extension of hedge effectiveness analysis tested
by dollar-offset ratio integrated with a nonparametric approach (Data
Envelopment Analysis – DEA) to provide an overall evaluation ofderivatives for risk management. Twelve banks in Asia-Pacific region
are selected as a sample. The twofold results of analysis first indicate
the implications on the extension of hedge effectiveness test using DEA,
and second, discuss the differences in bank’s risk management
efficiency between developed and developing markets.

Session
Date
Time
Room
Chairs

Decision Analysis & Methods II
10/12/2014
15:30 - 17:00
Casablanca
Yves De Smet, Saku Mäkinen

A Fuzzy Linguistic Representation Model for Decision
Making Under Uncertainty
Wen-Tao Guo, Van-Nam Huynh
Japan Advanced Institute of Science and Technology, Japan

Taking into account imprecise and incomplete information is very
important for properly making a decision under uncertainty. However,
due to inherent mechanism, many traditional approaches cannot deal
with such problems. Motivated by this point, we propose a
proportional fuzzy linguistic distribution model for decision making
under uncertainty. It is shown that this new model not only allows
experts to linguistically assess attributes by using the combinations of
any number of adjacent evaluation grades, but is also applicable to thecontext that experts cannot supply complete linguistic assessments. In
addition, we also introduce expect utility in proportional fuzzy
linguistic distribution for the purpose of precisely ranking alternatives,and accordingly, conveniently making a final decision. Finally, a casestudy taken from the literature is used to illustrative the proposedmodel.

Post Optimality Analysis of Pareto Optimal Set ThroughWeights Robustness
Maria Kalinina, David Sundgren
Stockholm University, Sweden

Traditional multi-objective optimization attempts to find Pareto optimal
solutions. Since a Pareto optimal set can be huge, the problem of
selecting one or few solutions occurs. Post optimality analysis in
multi-objective optimization requires incorporation of decision makers'
preferences in the form of weights. In this paper the concept ofrobustness with regards to weights is introduced. The different types ofweights robustness show how sensitive a solution is to variation inweights' coefficients. An approach for analysis of Pareto optimal setsthrough weights robustness is then devised. The suggested approach
can be of special interest in the presence of conflicting preferencesamong decision makers or when preference information is unavailable.
In conclusion, managerial usage it in the different strategies fornegotiation provides possibility to thoroughly weigh all alternatives
before settling on an agreement.

Adapting the ISO31000:2009 Enterprise Risk Management
Framework Using the Six Sigma Approach
Bennie Seck-Yong Choo, Jenson Chong-Leng Goh
SIM University, Singapore

Enterprise risk management has never been more important in today’sorganizations. The rapid changes brought forth by the technologicaladvancements and globalization, and the complexity in managing thesechanges has made it challenging for an organization to manage its risks
effectively. The ISO31000:2009 enterprise risk management (ERM)
framework was developed in an attempt to help organizations address
this challenge. Unfortunately, the framework is highly abstract andconsists of confusing terms and definitions, which make it difficult to beadapted according to an organization’s risk management requirements.
Using the Six Sigma approach, this paper presents a pragmatic
roadmap on the process of adapting the ISO31000:2009 ERM
framework in a business unit of a large organization operating globally.
In so doing, this study helps to provide invaluable insights and a viable
method to adapt the ISO31000:2009 framework into a number ofeffective risk management practices in an organization.

A Framework to Identify Sustainability Indicators for
Product Design

understand the relationship among potential category indicators,
customer needs, and product components. The results of the HOQ are
visualized by system dynamics. To define characteristics of nodes of theindicators, the term of change propagation index (CPI) is used. The
multiplier characteristic from CPI that has more outputs than inputs
would be considered as high priority among potential category
indicators. A case study with a coffee maker is performed todemonstrate the effectiveness of the framework.

An Interactive Bi-criteria Heuristic Algorithm for the
Coherent System Assembly
Abdel-Aziz M. Mohamed
Arab Academy for Science, Technology, and Maritime Transport, Egypt

This paper presents a heuristic algorithm allocating non-repairable
components to the nodes of a coherent system resulting in higher
reliability at a lower cost. Component reliabilities are considered
independent of their assigned nodes and can be allocated to any node in
the system. The algorithm ranks the nodes according to their criticalimportance, allocates the component with the higher reliability to thatof the higher ranking node and; generates efficient solutions using thelargest cost-profit trade-off. The decision maker has the option tointeract with the algorithm during the solution process to articulate
his/her preference regarding the best compromised solution. He/she
may also choose to submit a minimum acceptable stance of thereliability-cost trade-off that can be used as a stopping criterion for thealgorithm. Several numerical examples are illustrated to exemplify themain concepts of the algorithm and how it is used. Experimental
studies are carried out.

Optimal Trial Number for D-optimal Designs Based on
Efficiency-cost Ratio Analysis
XiuTing Liu, Sen Lin, Jun Yang
Beihang University, China

In engineering experiments, the more trial times are not always thebetter, especially for high-cost and long-period ones. But in practice, thetrial number usually only depends on the design efficiency without
considering the cost of an experiment, which may cause unnecessary
waste. So, the optimal trial number of D-optimal design is investigatedin this paper. Based on efficiency-cost ratio (E-C ratio) and considering
the G-efficiency, a determination method for the optimal trial number of
D-optimal design is given. The proposed method is applied to the
cutting process of aluminum alloy thin-walled workpiece, and theresults show the effectiveness of the proposed method.

Swarm Based Mean-variance Mapping Optimization(MVMO^s) for Economic Dispatch Problem with Valve Point Effects

Khoa Truong 1, Pandian Vasant1, Balbir Singh Mahinder Singh1, Dieu Vo2
1
Universiti Teknologi Petronas, Malaysia
2
HCMC University of Technology, Viet Nam

Mean-variance mapping optimization (MVMO) is a novel
population-based meta-heuristic technique which has been successfully
applied for different power system optimization problems. The special
feature of MVMO is the mapping function applied for the mutation
based on the mean and variance of n-best population. Recently, themodified version of MVMO has been developed to get more powerful,
named as Swarm based Mean-variance mapping optimization(MVMO^S). This paper proposes MVMO^S as a new approach forsolving the economic dispatch problem considering valve-point effects.
To demonstrate the performance of the proposed method, the proposed
MVMO^S has been tested on two systems including 3 and 13 thermal
generating units with valve-point effects and the obtained results fromMVMO^S have been compared to those from other existing methods inthe literature. It is indicated that the proposed MVMO^S is efficient forsolving the economic dispatch with valve-point effects.

Sam Yeon Kim1, Seung Ki Moon1, Hyung Sool Oh2, Taezoon Park3, HaeJin
Choi4, Hungsun Son5
1
Nanyang Technological University, Singapore
2
Kangwon National University, South Korea
3
Soongsil University, South Korea
4
Chung-Ang University, South Korea
5
Ulsan National Institute of Science & Technology, South Korea

Various sustainability indicators have been developed by governments,
international organizations, and companies according to their different
perspectives. It makes companies difficult to choose propersustainability indicators for consistent assessments of sustainableproducts. In this paper, we propose a framework to determine specificcategories of sustainability indicators according to design strategies,
requirements of customers and legislation. In the proposed framework
for company level approach, House of Quality (HOQ) is applied to28Session
Date
Time
Room
ChairsOperations Research I
10/12/2014
13:30 - 15:00
Caymans 1
Yuliang Su, Earl-Juei Wang

A Multicriteria Decision Model for Technology Readiness
Assessment for Energy Based on PROMETHEE Method with
Surrogate Weights
Adiel Almeida1, Danielle C Morais1, Luciana Alencar1, Tharcylla Clemente1,
Eduardo Krym1, C. Z. Barboza2
1
Federal University of Pernambuco, Brazil
2
2CGEE Centro de Gestão e Estudos Estratégicos, Brazil

This paper deals with the decision-making context with imprecise
information regarding importance of objectives. The PROMETHEE
method is integrated with surrogate weights in order to approach thissituation. PROMETHEE methods have been applied in many contexts
and this paper illustrates its use in the context of Technology Readiness
Assessment for Energy. This strategic decision problem involves asituation in which imprecise information is always a challenge.

An Imperialist Competitive Algorithm for the Job Shop
Scheduling Problems
Hamed Piroozfard, Kuan Yew Wong
Universiti Teknologi Malaysia, Malaysia

Scheduling is assigning a set of tasks on resources in a time period,
taking into account the time, capability and capacity constraints. The
job shop scheduling problems are the most important problems inmanagement science and combinatorial optimization. These problems
belong to the family of NP-hard, in which they cannot be solved inpolynomial time (unless P=NP). In this paper, a meta-heuristic
algorithm is proposed for solving the job shop scheduling problems
with the objective of minimizing makespan. A meta-heuristic approachcalled imperialist competitive algorithm which imitates the behavior ofimperialistic competition is presented. This algorithm is constructedwith countries, colonies and imperialists in which colonies andimperialists make the empires. The algorithm starts with initializing thecountries and empires. In addition, the algorithm continues the search
process by applying assimilation and revolution operators. To further
improve the solution quality obtained by the imperialist competitivealgorithm, simulated annealing is applied. A set of well-studied
benchmarking instances obtained from the OR-Library is used toevaluate the performance of the proposed algorithm, and thecomputational results indicate its efficiency.

Impact Evaluation of MGNREGA Using Data Envelopment
Analysis
Devaraj Hanumappa, Parthasarathy Ramachandran, T. G. Sitharam
Indian Institute of Science, India

Malmquist Index is the widely used method to measure theproductivity change between two time periods. In this paper wedevelop a new method to evaluate the productivity change using Data
Envelopment Analysis. An illustration is presented in this paper toevaluate the impact of Mahatma Gandhi National Rural Employment
Guarantee Act (MNREGA). The impact is calculated by comparing thechange in the production function before and after the intervention.

29

Critical Literature Review on Maturity Models for Business
Process Excellence
Saja Albliwi, Jiju Antony, Norin Arshed
Heriot-Watt University, United Kingdom

Maturity models are a useful way for an organisation to assess theirprocesses and the overall maturity levels of the organisation. However,finding the most appropriate maturity model is not an easy task
especially for practitioners in industry. Hence, the purpose of this paper
is to critically review, compare and contrast the existing maturity
models in quality/operations management topics. This paper has
reviewed the most common maturity models including but not limited
to Bessant’s continuous improvement capability model, Capability
Maturity Model (CMM) and Capability Maturity Model Integration(CMMI) which is the most common model in the literature. The authors
have observed a lack of maturity models for process management.
Therefore, the future plan for this research is to develop a maturity
model for a specific area in process management, which is Lean Six
Sigma (LSS), as this is the main area of interest for the authors.

A Modified Genetic Algorithm for Precedence Constrained
Operation Sequencing Problem in Process Planning
Yuliang Su, Xuening Chu, Dongping Chen, Dexin Chu
Shanghai Jiao Tong University, China

Precedence constrained operation sequencing problem (PCOSP) isconcerned with selection of feasible and efficient operation sequencewith minimal machining cost in process planning. Traditional genetic
algorithm (GA) generates solution sequence by using randomly
selection and insertion of operations, which will break the precedence
constraints between operations. The additional fixing approaches forthe infeasible solutions will result in low efficiency. Some modified GAs
could generate feasible solutions but have premature convergenceproblem when facing complicated precedence constraints. To overcome
the shortcomings, this paper proposed a modified GA that use an edge
selection based chromosome encoding approach to make sure all theprecedence constraints are met in every step. The experiment illustrates
that the proposed GA has superiority in finding optimal or near optimal
solution.

Building Master Surgery Schedules with Leveled Bed
Occupancy and Nurse Workloads
Zakaria Abdelrasol1, Nermine Harraz2, Amr B. Eltawil3
1
Egypt-Japan University of Science and Technology (E-JUST), Egypt
2
Alexandria University, Egypt
3
Egypt - Japan University of Science and Technology (E-JUST), Egypt

The master surgery scheduling problem involves the development of amaster surgical schedule, a cyclic timetable that determines the patientcategory associated with each block of operating room time. A myriadof variants of the problem has been addressed in literature. Here wefocus on two major variants, arising during cooperation with Karmoze
hospital, a non-profit hospital located in Alexandria, Egypt. The firstvariant asks for balancing both beds and nurses daily requirements,
whereas the second for considering surgeons preferences. To cope withthese problems we introduce a new mixed integer formulation. The
objective function minimizes the weighted sum of peaks in the daily
bed occupancy and nurse daily workloads. The results show that ourmodel provides a more leveled daily bed occupancy and nurse
requirements. Furthermore, our model reduces both the daily bed
occupancy and nurse workloads.

Session
Date
Time
Room
ChairsOperations Research II
10/12/2014
15:30 - 17:00
Caymans 1
Amr Eltawil, Shinji Inoue

Resolution of Resource Conflicts in the CCPM Framework
Using a Local Search Method
Hiroki Koga, Hiroyuki Goto, Eishi Chiba
Hosei University, Japan

We propose approximate methods for resolving resource conflicts in the
Critical Chain Project Management (CCPM) method. The CCPM
method consists of five processes. Effective approaches for four of thefive processes already exist. For the remaining unresolved process,namely the resolving of resource conflicts, an effective method has yet
to be proposed. Hence, we develop three simple approximate solving
methods, and improve these using a local search. Methods based on theearliest and latest start times are used. The local search method
undertakes a basic search by swapping the processing order of two
arbitrary tasks. Through numerical experimentation, we found thatthese solving methods are practical if the number of outputs is one. In
addition, the average value of the solutions obtained by the three
simple methods was improved by up to approximately 10% when alocal search was used if the number of tasks was 50.

A Heuristic Algorithm for the Prize Collecting Steiner Tree
Problem
Yuki Hosokawa, Eishi Chiba
Hosei University, JapanThe Prize Collecting Steiner Tree (PCST) problem is one of the mostimportant problems in the field of combinatorial optimization. In thispaper, we consider new heuristics for the PCST problem. The heuristics
consists of two stages. The first stage of the heuristics is to compute aspanning tree, which is based on the greedy approach. In the second
stage of the heuristics, each arc in the spanning tree is checked.
Throughout this checking, if the deletion of arcs improves the objectivefunction value, then such arcs are deleted from the spanning tree. Next,
we implement the heuristics for computational experimentation. In
computational experimentation, we use approximation ratio as a key toevaluation values. From our computational experimentation, we
confirm that the heuristics method is very fast.

3D Loading Problem Formulation Using Mixed Integer
Nonlinear Programming
Mojahid Saeed Osman1, Bala Ram2
1
King Fahd University of Pertoleum & Minerals, Saudi Arabia
2
North Carolina A&T State University, United States

The manufacturing of different types of cylindrical parts requires
loading of parts into baskets for heat treatment operation. This loading
process is complex and involves issues relating to geometry, andheterogeneity in the parts and in their processing requirements. The
parts loaded for heat treatment often do not utilize the available
capacity adequately because layer-loading is accomplished by operator
ingenuity. Productivity in heat treatment operation can be increased by
improving utilization, which is determined by the loading process. This
paper describes the development mathematical model using mixed
integer nonlinear formulation for loading of cylindrical parts intobaskets. The mathematical modeling considers the exact location ofparts to be loaded on the layers with the primary objective ofminimizing unutilized volume of the baskets.

An Improved Approach for the Quay Crane Assignment
Problem with Limited Availability of Internal Trucks inContainer Terminal
A. Karam1, Amr B. Eltawil1, Nermine Harraz2
1
Egypt - Japan University of Science and Technology (E-JUST), Egypt
2
Alexandria University, Egypt

In container terminals, the handling operation of containers depends on
the interaction among handling equipment such as quay cranes, yard
cranes and internal trucks. Insufficient number of internal trucks causes
a delay in transporting containers and results in low productivity ofquay cranes which is the bottleneck of any container terminal. This
paper presents a new approach for assigning quay cranes in container
terminal taking into consideration the availability of internal trucks. A
two phase solution methodology is proposed. In the first phase, a MIP
model is formulated to assign quay cranes to vessels while the second
phase, dynamic programming is used to determine the specific quay
cranes to serve each vessel. The contribution of the proposed approachis demonstrated by a comparison against a case study from literature.
Moreover, the results show that the shortage in the required number ofinternal trucks increases the average handling time per vessel.

Asset Integrity of Deepwater Petroleum Production Facilities
Mayang Kusumawardhani, Tore Markeset
University of Stavanger, Norway

Technology developments have made it possible to discover andharvests oil from deepwater reserves, but, maintaining asset integrity of
deepwater facilities is not without challenges. This is due to the uniquesite characteristic and uncertainties in predicting future performances.
Based on a literature survey and interviews with industrial experts, thispaper investigates challenges in the integrity management of deepwater
petroleum production assets. A workflow is proposed as guideline toestablished integrity management plan. In addition, industrial service
strategy will be discussed as an alternative solution to deepwater
challenges

Standardization Programs in the Industrial Plant Business:
Best Practices and Lessons Learned
Michael Gepp, Jan Vollmar, Thomas Schaeffler
Siemens AG, Germany

Organizations in the industrial plant business face shorter productlifecycles and a rising complexity of their manufactured products. A
common approach to increase the profitability are standardization
programs. The underlying methodology of modularization andstandardization is already successfully used the product business. In
plant engineering business however standardization programs are only
slowly gaining ground, mainly due to the high customer specificity andsmall volume produced in this business. Nevertheless researchers
agree that standardization programs have great potential. In thiscontribution, six standardization programs of a German engineeringorganization were analyzed in case studies. Based on these programs
best practices and lessons learned are identified. The knowledge ofthese success factors as well as examples how these factors can bepractically used will support engineering organizations to conduct theirstandardization programs more efficiently.

A Hybrid PSO-TS Approach for Proportionate
Multiprocessor Open Shop Scheduling
Tamer Abdelmaguid
Cairo University, Egypt

In this paper, a hybrid particle swarm optimization (PSO)-tabu search(TS) approach is proposed for solving the proportionate multiprocessor
open shop scheduling problem (PMOSP) with the objective ofminimizing the makespan. The PSO part of the proposed approach isused for randomly searching the machine selection decisions, while theTS part conducts local improvements for the routing and sequencing
subproblems. Experimentations are conducted on 100 benchmark
problems which are divided into four equal sets with 2, 4, 8 and 16
processing centers. The analysis shows that the proposed hybrid
approach produces competitive results compared to previously
developed TS and genetic algorithm approaches, especially forintermediate size problems of 4 and 8 processing centers. The average
optimality gap of the proposed approach is found to be below 5.6%
from the lower bound for the four sets, and ten new upper bounds arefound, among them two are provably optimal.

30

Session
Date
Time
Room
Chairs

Quality Control & Management I
10/12/2014
13:30 - 15:00
Caymans 2
Imad Alsyouf, Yoshinobu Tamura

Modeling Autocorrelated Process Control with Industrial
Application
Siaw Li Lee1, Maman Abdurachman Djauhari2, Ismail Mohamad1
1
Universiti Teknologi Malaysia, Malaysia
2
Universitas Pasundan, Indonesia

In past literature, a primary solution to deal with autocorrelated processdata consists of two steps, namely (i) time series model building and (ii)control charting based on the residuals. However, it requires somesophisticated statistical skills to build a satisfactory model during thefirst step. This has motivated us to propose a new procedure of timeseries model building. If traditionally time series model building isbased on autoregressive integrated moving average (ARIMA) models,in this paper we show that a great number of time series data aregoverned by geometric Brownian motion (GBM) law. If the process isgoverned by GBM law, the appropriate model is directly derived fromthe properties of that law. Otherwise, the model is constructed by using
the standard practice. An industrial example is presented to illustrate
the advantages of the proposed method.

Estimation of Population Generalized Variance: Applicationin Service Industry
Revathi Sagadavan1, Maman Abdurachman Djauhari2, Ismail Mohamad1
1
Universiti Teknologi Malaysia, Malaysia
2
Universitas Pasundan, Indonesia

In statistical process control, monitoring process target is as importantas process variability. In multivariate setting, the former is moredeveloped than the latter. The most widely used measure ofmultivariate variability is the so called generalized variance (GV). In
order to monitor GV, we need to estimate the population generalized
variance and its square. In the literature, those estimates are given
based on single sample. Only recently, it has been developed for thecase of m independent samples with equal sample size. This motivates
us to further develop for the case of m independent samples withunequal sample sizes which is usually encountered in service industry.
An example of GV control charting for unequal sample sizes will bepresented to illustrate the advantages of this method of estimation inmonitoring the quality of service.

Factors Affecting Quality in a Manufacturing Environment
for a Non-repairable Product

Rene Lombard, Corro van Waveren, Kai-Ying Chan
University of Pretoria, South Africa

Product quality has become one of the most important factors forconsideration by manufacturing environments due to the increasinglycompetitive global market. This is especially true for organizations
manufacturing a non-repairable product as the cost of warranty claims
can be financially considerable and cause rapid loss of market share due
to loss of customer satisfaction and confidence. This study has therefore
set out to identify the factors affecting product quality in a
manufacturing environment. Two distinct sets of factors were identified
in literature: “Hard” factors are Systems and Processes, Efficiency,
Product and Process Complexity and Discipline, whereas “Soft” factors
are Long Term Planning, Organizational Culture, Workforce
Management and Leadership Support. The study found that Long Term
Planning and Organizational Culture had a very significant impact on
product quality within an organization manufacturing a non-repairable
product whereas the hard factors only had marginal impacts on
product quality.

31

Improving Quality of Operations via Industry-specific
Empowerment Antecedents: A Study of the Oil and Gas
Industry
Ngozi Onyemeh, Chan Wai Lee
University of Nottingham, Malaysia

This paper presents a model that identifies accountability, responsibility,
and choice as high-level determinants of employee psychologicalempowerment in the oil and gas industry particularly in relation to
improving operational quality. Psychological Empowerment is targeted
at influencing the hearts and minds of the individual and can only besaid to have taken place when the individual truly believes he isempowered. As such, there is a need to promote highly situated humancognition targeted at creating an empowered state of mind leading to
the conviction, commitment, and conversion of the personnel toembracing organizational goals, in this case quality. To examine therelationship amongst the dimensions of psychological empowerment, asurvey was administered to 239 oil and gas industry personnel in
different countries. The results showed personnel in the industry linkhigh empowerment to accountability, responsibility, and choice wheninvestigated with meaningfulness, mindfulness, competence andimpact.

Application of Six Sigma in Oil and Gas Industry:
Converting Operation Data into Business Value for Process
Prediction and Quality Control
Wai Kit Cheng1, Amir Farid Azman1, Mohamad Hisham Hamdan2, RachelFran Mansa3
1
PETRONAS Penapisan (Terengganu) Sdn. Bhd., Malaysia
2
PETRONAS Group Operation Excellence, Malaysia
3
Universiti Malaysia Sabah, Malaysia

This study is to develop a dynamic prediction tool for daily operation
quality control in PETRONAS Kertihâ€™s refinery using Design for Six
Sigma (DFSS) methodology. Catalytic reforming process was selected as
the case study background where the relationship of operation
parameters which influences the coke content deposited on the processcatalyst was studied. The prediction model allows future estimation of
the coke content on the catalyst and in turn assist in reducing future
downtime of the unit, which is very costly for reforming unit in refinery.
The related input-output operation data were obtained from the plantand 10 process operation parameters were categorized as key process
input variables. Using Response Surface Methodology, dynamic
modeling of the coke content was developed for prediction and analysisof the relationship between the coke content and the 10 process inputs.
The prediction model passed the 2-sample 2-T Test, hence theprediction model was reliable where there was no statisticallydifference between the mean in actual and the predicted values.

Mishandled Baggage Problem: Causes and Improvement
Suggestions
Imad Alsyouf, Fatima Humaid, Shaima Al Kamali
University of Sharjah, United Arab Emirates

The purpose of this paper is to identify the causes of mishandled
baggage and suggest effective solutions. This study is conducted at oneof the international airports in UAE, at the baggage handlingdepartment. We used a procedure that consists of five phases based on
six sigma methodology: Define, Measure, Analyze, Improve andControl. Each phase has several steps using relevant engineering tools.
Both qualitative and quantitative data were collected and analyzed.
Consequently, four main problems were identified: lack of adequate
training, long working shift, conveyor system breakdown, and fallingbag. It was possible to identify the critical causes for these problems,suggest relevant solutions and select the most preferred ones. The
suggested procedure enables the decision maker to measure theperformance with respect to the set target. Thus, it will be possible tohandle the challenges and reduce the mishandled baggage problem andimprove the performance and competitiveness.

Session
Date
Time
Room
ChairsService Innovation & Management I
10/12/2014
15:30 - 17:00
Caymans 2
Vipul Jain, Chien-Liang Kuo

Priority Investment Components of Emotional Intelligence
Effective on Marketing with AHP Method

Parissa Tavakoli-Targhi, Yousef Gholipour Kanani
Islamic Azad University, IranThis study investigates the priority components of emotional
intelligence effective on marketing with approach of paired comparison.
The data of this research were obtained through the use of aquestionnaire which elicits information priority components ofemotional intelligence that are effective on marketing in the small andmedium enterprises in industrial zones in Iran and assess them withapproach of paired comparison. Results indicate that the empathy
component is the most important factor.

Workforce Planning for Global Network Delivery Model
Sumit Raut, Kishore Padmanabhan, Muralidharan Somasundhanram,
Natarajan Vijayarangan
Tata Consultancy Services Limited, India

A steep competition in IT services and customers' demand for highquality of service makes IT service providers to investigate new ways ofdelivering services. To gain competitive advantage, TCS proposes
Global Network Delivery Model (GNDM) to deliver services seamlessly
and uniformly for global customers from multiple locations acrossIndia, China, Europe, North America and Latin America. This paper
focuses on workforce planning for multiple locations while aiming tomeet time-based SLA for each location. A novel workload estimation
method is proposed for time-based SLA. Based on workload andtime-based SLA, we propose mathematical formulation to determine
optimal work-force size for each location and each shift. A real-life IT
service process is considered to evaluate the performance of the
proposed model. The proposed model is compared with current
practice and benefits explained.

CSF in Product Innovation Process: A Comparative Study ofThree Malaysian Manufacturing SMEs
Noor Hidayah Abu , Baba Md Deros , Mohd Fitri Mansor
1
Universiti Utara Malaysia, Malaysia
2
Universiti Kebangsaan Malaysia, Malaysia
3
Universiti Malaysia Perlis, Malaysia
1

2

3

Continues development of new product innovative is an importantdriver for manufacture to sustain in market place. Success or failures of
new product in market place depend very much on how organization
implementing pre-development process. However large-scaleorganizations have received full attention from many researchers withrespect to efficient pre-development implementation and practices
compared to small and medium enterprises (SMEs). SMEs having
different characteristic, strength and weaknesses compared than largeorganization. In view of that SMEs can't simplified followed andadapted large scale organization practice in development of new
product. Specific studies about pre-development process which areconcentrating in SMEs are required. Therefore, this study was
performed with the main objective to identify critical success factors(CSF) that support successful pre-development process implementationin Malaysian SMEs. To achieve the objective, a qualitative method
through interview was conducted with three successful Malaysian foodand beverages manufacturing SMEs. The results of the study indicatedfive critical factors for successful pre-development process
implementation in SMEs. There are: clear product strategy,commitment of top management, knowledgeable and skillful project
team leader, involvement project team members and involvement of
external organization.

Supporting the Cross-disciplinary Development of
Product-service Systems Through Model Transformations

Thomas Wolfenstetter, Konstantin Kernschmidt, Christopher Münzberg,
Daniel Kammerl, Suparna Goswami, Udo Lindemann, Birgit Vogel-Heuser,
Helmut Krcmar
Technische Universität München, Germany

During the development of product-service systems (PSS), various
artifacts are modeled by the different involved disciplines, e.g.
mechanics, electrics, electronics, software and services. Each of these
artifacts represents different aspects of the PSS as a whole. In order toreuse the respective information that are contained in each artifact but
which are represented using different ways of modeling,transformations are needed. In this paper we present a methodology
how the relevant PSS elements and their attributes can be transformed
from one specific language to another one, in order to facilitate thecross-disciplinary use of model-based information during thedevelopment process of mechatronic PSS.

Structural Investigation of a Healthcare Value Chain: A
Social Network Analysis Approach
Vipul Jain1, Sumit Sakhuja2
1
University of Sharjah, United Arab Emirates
2
Indian Institute of Technology Delhi, India

Service supply chains consist of peoples and organizations connected in
the form of a network. A system of interconnected organizations can bemodeled as a network rather than a chain. In this paper a case study on
structural investigation of a healthcare value chain has been discussed
and important theoretical analysis is presented for an effective decision
making. Social network analysis has been used to calculate the various
node level and network characteristics of the chain. The node levelmeasures describes the role of each organization in the network
whereas, the network level measures helps in interpreting the network
structure as a whole. The proposed approach in the paper will provide
a pictorial interpretation of a value chain to the managers andhealthcare professionals in capturing the dynamics and uncertainties
associated with healthcare value networks

Investigating the Effects of Project Scales on the Patterns andPerformance of Successfully Funded, Technology-oriented
Innovative Crowdfunding Projects
Chien-Liang Kuo1, C.J.H. Lin2, S.X.S. Huang2, Yu-Chen Lin1
1
Chinese Culture University, Taiwan
2
Ming-Jiang University, China

Remarkably successful crowd-funded projects have led to
crowdfunding (CF) emerging as a novel channel for realizing
innovative ideas. The use of CF has therefore attracted both academic
and business interest. This study investigated technology- andinnovation-oriented CF projects that have successfully received funding
from CF platforms in China. The research focused on determining theeffects of project scales on CF patterns and outcome. A total of 100
relevant CF projects that completed their funding activities from
Demohour.com were analyzed. The results showed that small-sized
and medium-to-large-sized CF projects behaved similarly in content
provision. Regarding the outcome, although medium-to-large-sized CF
projects attracted more browsers than small-sized projects did, they did
not outperform the small-sized projects in other observed indicators
statistically. Applying the prediction models to the portion of CF
funding achievements revealed that the social capital perspective
provided stronger explanatory power for successful, small-sized,
technology- and innovation-oriented CF projects.

32Session
Date
Time
Room
ChairsSupply Chain Management I
10/12/2014
13:30 - 15:00
Caymans 3
R. Kant, Roger Jiao

Supplier Selection Activities in the Service Sector: A Case
Study in Nigeria
Dotun Adebanjo1, Matthew Tickle2, Frank Ojadi3, Petros Ieromonachou1,
Tritos Laosirihongthong4, Roula Michaelides2
1
University of Greenwich, United Kingdom
2
University of Liverpool, United Kingdom
3
University of Lagos, Nigeria
4
Thammasat University, Thailand

This paper presents the results of the supplier selection process
conducted by a Nigerian service sector organization. One organization
was used as a case study whereby data collection involved an action
research approach; the data was then subject to statistical analysis via
the SPSS Statistics software package. In total, 185 potential suppliers
were assessed. Several statistically significant differences were also
found between those suppliers that met the minimum requirements
and those that did not as well as between organizations that offeredproducts and organizations that offered services.

Managing Supply Disruption in a Three-tier Supply Chainwith Multiple Suppliers and Retailers
Sanjoy Kumar Paul, Ruhul Sarker, Daryl Essam
University of New South Wales, Australia

In this paper, a supply disruption management model is introduced in athree–tier supply chain with multiple suppliers and retailers, where thesystem may face sudden disruption in its raw material supply. At first,
we formulated a mathematical model for ideal conditions and thenreformulated it to revise the supply, production and delivery plan after
the occurrence of a disruption, for a future period, to recover from thedisruption. Here, the objective is to minimize the total cost during therecovery time window while being subject to supply, capacity, demand,and delivery constraints. We have also proposed an efficient heuristic tosolve the model and the results have been compared, with anotherestablished solution approach, for a good number of randomly
generated test problems. The comparison showed the consistent
performance of our developed heuristic. This paper also presents somenumerical examples to explain the usefulness of the proposed
approach.

Collaborative Inventory Distribution Management in a
Supply Chain: A Simulation Perspective
Joby George, Nimmy J.S., V. Madhusudanan Pillai
National Institute of Technology Calicut, India

The objective of this paper is to introduce the concept of real timecollaboration for inventory distribution management in supply chainsusing Google spreadsheet. The capability of Google spreadsheet to use
for a complex structure of supply chain is demonstrated using
simulation for inventory distribution management. To demonstrate thecollaboration capabilities for inventory distribution management, a roleplay game is developed using the Google spreadsheet. The two periodic
review policies considered for the simulation are Order Up-To (OUT)
and (r, S) where, r is reorder point and S is maximum inventory level.
Using these policies a two year simulation is carried which could
demonstrate on-line inventory distribution management capability for
15-member 4-echelon divergent supply chain. The 4-member 4-echelon
role play game could demonstrate collaborative capabilities of Google
spreadsheet for inventory distribution in a supply chain.

In-house Capacity Investment and Outsourcing Under
Competition
Tarun Jain, Jishnu Hazra
Indian Institute of Management, India

We analyze a two buyer-one supplier setting. The buyers firstsimultaneously invest in in-house capacity with the knowledge of thedemand distribution only. The demand is then realized after theinvestments are made. If the demand exceeds the invested capacity then,the balance requirement is sourced by the buyers from a common
supplier. The supplier has the option to sell its capacity to an alternate
market (where demand is random) and to these two buyers. We
determine the equilibrium capacity investments by the two buyers in
the presence of a supplier who has an alternate market.

33

Optimization of Multi-commodities Consumer Supply
Chains Part II: Simulation Modeling
Zeinab Haji Hajiabolhasani, Romeo M. Marian, Lee Luong
University of South Australia, Australia

This paper aims to demonstrate a simulation optimization modelingapproach to examine the efficiency of a mathematical model in
Optimization of Multi-Commodities Consumer Supply Chain(MCCSC)- Modeling. Simulation is one of the most widely used tools inmodel validation. It enables identifying system's behaviors under
different circumstances. To this end, in the present work, a supply chain
system simulation model is developed within the context of
production-distribution (P-D) decision making. Also, taking into
account real-life constraints, an integrated MCCSC case study is created
to predict the consequences of variable changes. The performance of themodel is then evaluated using Sim Events toolbox in conjunction with
Simu link toolbox of MALAB®. Finally, Genetic Algorithms are utilized
to minimize the total cost of the entire system.

Identifying Critical Success Factors for Green Supply Chain
Management Implementation Using Fuzzy DEMATEL
MethodRakesh Kumar Malviya, Ravi Kant
Sardar Vallabhbhai National Institute of Technology, India

The purpose of this study is to discuss cause and effect relationshipbetween the influential factors and to identify of critical success factors(CSFs) for Green Supply chain management (GSCM) implementation inIndian automobile industries. The combined fuzzy set theory andDecision Making Trial and Evaluation Laboratory (DEMATEL) method
is used, to segment the critical factors. This study visualizes the causal
relationships through cause and effect diagram. The result of empirical
study shows that 5 CSFs are figured out from 12 influencing factors.
The finding will help to improve the effectiveness and efficiency for
GSCM implementation and also provides an indication to build up aneffective GSCM implementation in a stepwise manner.

Warehouse Storage Assignment: The Case Study of a Plastic
Bag Manufacturer
Chompoonoot Kasemset, J. Sudphan
Chiang Mai University, Thailand

This study presents the application of storage assignment in warehousemanagement to the case study of a plastic bag manufacturer located in
Thailand. The objective is to evaluate the performance of the two
methods: (1) using mathematical model and (2) class-based policy. The
studied warehouse had one I/O point with 287 storage units dedicatedfor 62 products. The results of the mathematical model gave 51,317.45
meters per month as a minimum total traveling distance. The
class-based policy gave 55,394.46 meters per month. Currently,
non-systematic approach gave 71,921.38 meters per month (reduction
from mathematical model and class-based methods were 28.65% and22.98% respectively). The results from mathematical model is the
optimal solution but to implement this policy, information technology
such as warehouse system management was recommended to support
workers during picking and receiving products.

Session
Date
Time
Room
ChairsManufacturing Systems I
10/12/2014
15:30 - 17:00
Caymans 3
Rob Dekkers, Kanagi Kanapathy

Comparing Malaysian and Scottish Firms on Practices for
Strategic Capability Management
Rob Dekkers1, Kanagi Kanapathy2
1
University of Glasgow, United Kingdom
2
University of Malaya, Malaysia

The study of practices for Strategic Capacity Management at five
Malaysian companies and four Scottish companies shows that the
Malaysian manufacturing managers acted more reactive due topressures by sales and processing orders, whereas the Scottish
managers were implementing a manufacturing strategy moreâ€�independentlyâ€™. Problems with suppliers, albeit sometimes
caused by outsourcing, feature high on the list of challenges in both
samples. Alignment of organisational structures and investment intechnologies are seen by all as key to aligning the manufacturing
strategy with the competitive strategy, though actual investments tend
to be happening more in Scottish companies.

The Moderation Effect of the Cultural Dimension"Individualism/Collectivism" on Toyota Way Deployment - A
Global Study on Toyota Facilities
Nihal Jayamaha1, Jurgen Wagner2, Nigel Grigg1
1
Massey University, New Zealand
2
Robert Bosch GmbH, Germany

Organizations all over the word attempt to emulate the Toyota Way(TW)--the heart of Toyota's lean management system--to improve theiroperational performance. There is a tacit assumption made that thesystem will produce effective results regardless of the prevailing
national culture. However, very little is actually known about how theTW fits within diverse cultures. This paper empirically examines how
the national cultural dimension "individualism/collectivism" moderates
two constructs of the TW--People Development and Process
Improvement--to achieve Toyota's outcomes (TW deployment). The
findings, which are based on data collected from a large sample (n =2138) of Toyota's logistics, sales and marketing employees across 20
countries, supported the hypothesis that individualistic cultures are
more results-oriented in process improvements than collectivistic
cultures. However, both individualistic and collectivist cultures were
found to deploy the TW equally effectively--a finding that has practicaland academic implications (i.e. further research).

Assessment of the Teamwork Organization in a Production
Plant of a Major German Automobile Manufacturer
Robert Stranzenbach, Philipp M. Przybysz, Susanne Mütze-Niewöhner,
Stephan Scheel, Christopher M. Schlick
RWTH Aachen University, Germany

In this article the assessment of work organization (AWO) developed byFrieling et al. was employed to describe and compare different settings
under which teamwork occurs. The aim was to find significant
differences with respect to teamwork within several shop-floor areas at
one plant of a German automotive manufacturer. The original AWO
consists of 43 items operationalized in six categories: organizational
structure, team-oriented activities/tasks, participation/autonomy,
formal team communication, qualification and continuous
improvement process. Due to specific conditions in the plant the AWO
was adapted and extended. An ANOVA was used to compare the four
different shop-floor areas. The results demonstrated significant
differences within five of the categories between the four shop-floor
areas observed. Only the category formal team communication did not
differ among the shop-floor areas.

physical system into the cognitive network diagram. Semi-automationof the development of a cognitive network diagram will help to reduce
the tedious task of manually developing network diagrams. The
purpose of developing the cognitive network model is to simulate thebehavior of complex physical systems and generate the failure
knowledge. The framework is demonstrated by a case study of fuelinjection nozzle.

Theoretical considerations for Make-or-buy Decisions
During ‘Product Design and Engineering’: Three Indian Case
Studies
Rob Dekkers
University of Glasgow, United Kingdom

Make-or-buy decisions taken during ‘product design and engineering’often happen based on incomplete and inaccurate information but havetremendous effects on the manufacturing function; this is anunder-researched topic. Based on three cases in India, the study
examines the processes and decision-making for make-or-buy during
new product development from three theoretical perspectives:
Transaction Cost Economics, Resource-Based View and notion of corecompetencies (in chronological order of being established). Driven byboth strategic intents and experiences with suppliers, these companies
resorted to developing in-house capabilities rather than continuation of
supply. That finding leads to reflection on the validity of current
theoretical propositions and can be traced back to literature on
outsourcing that dates back decades.

Lean Transformation Efforts of the Wood Industry in
Virginia
Omar Espinoza1, Urs Buehlmann2, C Fricke3
1
University of Minnesota, United States
2
Virginia Tech, United States
3
Kollmorgen, United States

This manuscript reports preliminary results from a study examining thestatus of Lean implementation and the need for Lean transformation
support among participants in two segments of Virginia’s
manufacturing industry. A census survey with 180 responses(population size 1033) was conducted and the results confirm previous
research that enterprises in these industries are not uniformly aware ofLean and its potential benefits. Enterprises also have implemented Leanto varying degrees or not at all. Interestingly, small enterprises
indicated a lower need for Lean implementation support from third
parties than did medium or large enterprises.

Optimal Control Synthesis for a Flexible Manufacturing
System Based on Minimal Cuts

Sadok Rezig, Zied Achour, Nidhal Rezg, Mohamed-Ali Kammoun
University of Lorraine, FranceThis paper deals with supervisory control synthesis of Petri net
controller for forbidden state transition problem based on a new
utilization of the theory of regions. Two different approaches areproposed to reduce the resolution complexity of the theory of regions
by minimizing the total number of equations in its linear system. These
two approaches are based on a new concept of minimal cuts in reachability graph. The supervisor is a Petri net controller for each minimal
cut. Moving from one control place to another allows the switch ofminimal cuts in the reach ability graph.
These new approaches allows also to determine a Petri net controller
when it doesn't exist using the classical approach of the theory ofregions. To illustrate the present methods an application is
implemented on the Flexible Manufacturing System (FMS) at the ENIM
(National school of engineering of Metz) in FRANCE

Modeling Cognitive Network of a Physical System Using
Design Knowledge BaseShah Limon1, Om Prakash Yadav1, Bimal Nepal2
1
North Dakota State University, United States
2
Texas A & M University, United States

In this work, a framework is presented to semi-automate thedevelopment of a cognitive network diagram for complex engineeringsystems. Each node of a cognitive network represents design
parameters, environmental factors, and quality characteristics whereas
each arc represents causal relationship between two nodes. The
framework is proposed to utilize the existing knowledge base, such as,
CAD database, expert inputs, and other sources of information to
generate the network diagram. Along with these sources of information,
the framework also extracts geometric structure, functional relations,and other engineering inputs from CAD system to model the complex

34

Session
Date
Time
Room
ChairsTechnology & Knowledge Management I
10/12/2014
13:30 - 15:00
Caymans 4
Atsushi Aoyama, Ching Chieh Kiu

A Behavioral Loyalty Model of Portable Computers
Mohammad Reza Shahriari1, Ali Hajiha1, Sara Dehghan2
1Islamic Azad University, United Arab Emirates
2
Islamic Azad University, IranWith the increasing development of technology, laptop producers haveintended to satisfy the customers by providing them new and diverse
products, while copying products and introducing new products bycompetitors have increased the customer expectation level too. So,emphasizing the customer loyalty and preserving them have seemed tobe necessary.
In this paper, a model has been used which was presented by Bennett in2007 for investigating factors affecting Attitudinal and Behavioral
Loyalty. Meanwhile, due to the importance of both Brand Trust and
Brand Equity variables in Brand Loyalty area, hence, these twovariables using Taylor model have been added to Bennett Model.
The results of research showed that the customer satisfaction, brandtrust, brand equity and attitudinal loyalty have a positive impact on the
behavioral loyalty. Moreover, the impact of Category Involvement on
satisfaction and attitudinal loyalty was not approved.

Regionalization of Engineering - Framework and Scenarios

Thomas Schaeffler1, Rudolf Kodes1, Michael Gepp1, Nadja Hoßbach2, Arndt
Lüder31
Siemens AG, Germany
2
Friedrich-Alexander-University Erlangen-Nuremberg, Germany
3
Otto-von-Guericke University, Germany

Many multi-national technology corporations face the challenge tobring their business closer to their international customers. This paper
describes a framework how regionalization of engineering, i.e. thetransfer of recurring technical activities, can be effectively instituted.
The framework comprises a process model comprising 7 process phasesand 20 phase-spanning focal topics which have to be addressed duringa regionalization initiative. The process model has been developed
based on real regionalization scenarios of a technology corporation. The
assessment of these scenarios was based on a morphological analysis
and showed that there are four underlying basic cooperation models forregionalization of engineering. They are named “Engineering Supplier,“Engineering Center”, “Engineering Hub” and “Multiple Engineering
Hubs”. Regionalization scenarios differ in terms of application
rationales and characteristics. The main findings of the assessment of
the regionalization scenarios are explained and illustrated in this paper.

The Marketing Strategy for Successful Product Development
Performance in Iranian Nanotechnology-based Enterprises
Naser Khosravi, Mohsen Sadeghi
Amirkabir University of Technology, Iran

The emerging market on Nanotechnology and its application makes it
inevitable to assess the rate of Iranian enterprise success in attracting
consumers to Nano products and develop expedient actions. Emerging
market needs to be treated logically based on market needs. As its
alluring to capitalize on new product development processes resulting
in Nano products, comprehensive attention to suitable marketingstrategies for Nano products and public perception of these products isnecessary among commercialization issues. Marketing strategies, as awhole, consider markets needs for appropriate product suiting tomarket, and result in progressive profits for stakeholders. In order toenable Nano firms better deciding to implement which strategy, First,
Nano products lifecycle current stage should be defined. Based on typeof market and product it can be understood that which strategy is thebest. Meanwhile, feedback from consumer warranties successful
product
development
andcommercialization
processforconsumer-commercial products.

35

Forecasting of Diffusion Pattern: A Case Example of OLED
Technology
Pawat Tansurat, Nathasit Gerdsri
Mahidol University, Thailand

Technology changes create an enormous impact to every company. To
survive in this fast-changing environment, companies need to find aproper way to manage their technologies and prepare for new
technology investment. One crucial issue for technology managers toconsider after determining the strategic timing for technology
substitution is to know what diffusion pattern of new technology
would be. This issue is important as the management of companies caneffectively prepare themselves to be ready for upcoming market
opportunity.
This paper presents the analysis of the Bass diffusion model to forecast
the diffusion pattern of OLED technology in portable devices. The
analysis indicates that using p and q value derived from analogous
product, cellular telephone, results in realistic diffusion pattern (p =0.008 and, q = 0.421). The result reveals that OLED portable device sales
start to boost up in 2013 and increase significantly around 2015 - 2017.

Improving Management Practices Upon Organizational
Characteristics - An Analysis of Japanese Manufacturing
Subsidiaries in Vietnam
Nguyen Thi Duc Nguyen, Atsushi Aoyama
Ritsumeikan University, Japan

Research on cross-cultural technology transfer has addressed theraising attention on various aspects; though, the improving current
management practices' performance for achieving the efficient
cross-cultural technology transfer still prevails the need. This study
focuses on defining which significant management actions for training,commitment, sharing and understanding should be high priority
improvement to achieve efficient technology transfer and firm’s
business performance. The importance-performance analysis and pathanalysis in structural equation modeling through SPSS/AMOS 16.0
software are utilized to solve this inquiry. It is found that the improving
actions with high priority should be taken in: (a) providing materials,
guidelines, formal training courses and OJT in Japan for group having
less than 300 employees; (b) committing clear procedures for group of
100% Japanese-owned and less than five operation years; (c) sharing
and understanding for group having more than eight experience years
in cross-cultural technology transfer; and (d) increasing greatly
motivation for further study to efficiently achieve both firm’s
innovation capacity and firm’s productivity with transferredtechnology―for business group having greater than five years.

Identifying Knowledge Components in Software
Requirement Elicitation

Laleh Taheri, Noraini Che Pa, Rusli Abdullah, Salfarina Abdullah,
Mohammad Yaser Shafazand
University Putra Malaysia, Malaysia

This paper considers the importance of knowledge in softwaredevelopment organizations which are highly knowledge-intensive
organizations and focuses on knowledge audit in their requirement
elicitation process. Requirement elicitation process involves a great dealof knowledge and there are several problems regarding eliciting andusing the knowledge in this process. Misunderstanding, undefined
scope, conflicting information and constant changes of requirements
are some of the problems of requirement elicitation. A knowledge audit
model is proposed in this paper to improve requirement elicitation
process by identifying knowledge components and knowledge sources
existing in requirement elicitation process as well as their relationships.
A survey is also conducted to prove the validity of the model. The
results support the proposed knowledge components and knowledge
audit model for requirement elicitation.

Session
Date
Time
Room
ChairsInformation Processing & Engineering I
10/12/2014
15:30 - 17:00
Caymans 4
Md. Mamun Habib, Olaf Sauer

A Bayesian Accelerated Degradation Studies on Nitrile
Rubber O-ring
Lizhi Wang, Xiaohong Wang, Yuxiang Li, Wenhui Fan
Beihang University, China

To research nitrile rubber O-rings' lifetime with less time and resources,
and to reach a more convincing and statistic result, an accelerated
degradation testing (ADT) is designed, which consists of a 90C pre-test
and a step-stress test with 70C, 80C, 90C and 100C. Compression setsobtained from ADT are analyzed as degradation data, and degradation
models were fitted to data using Bayesian method which easily
accommodated uncertainties in the test. Then a relationship model
between degradation model and temperature was built with support
vector machines (SVM), so the step-stress data can be converted to data
at 25C and the O-rings' 25C degradation models were obtained. Finally,
with these models, nitrile rubber O-rings' lifetimes were studied by
Bayesian method, and the lifetime's distribution was obtained, which
predicted that the nitrile rubber O-ring will reach 60% compression set
by 6.2 years at 25C based on 97.5% confidence bands.

Interview Study: Decisions and Decision Criteria for
Development in Industry

Danilo Marcello Schmidt1, Sebastian Schenkl2, Eduard Munkhart2, Susanne
Nilsson3, Markus Mörtl2
1
Technical University of Munich, Germany
2
Technische Universität München, Germany
3
Royal Institute of Technology, KTH, Sweden

Decision-making in early stages of product development effects
product success essentially. For this reason, professional handling andmanagement of decisions in early development stages is necessary. To
investigate the current decision-making in industry, we conducted aninterview study to quantify decision criteria, which decision makers
from industry base their decisions on. Dependent on a list of decision
criteria from literature, several employees from R&D-departments wereinterviewed and the interviews were analyzed regarding decision
criteria. Most important decision criteria are financial, customer
requirements and product-technical feasibility. However, interviewees
did not mention a few other criteria, which were mentioned inliterature.

Theoretical Analysis of RFID Security Protocols

Azam Zavvari, Mohammad Tariqul Islam, Masoud Shakiba, Mandeep Jit
Singh
Universiti Kebangsaan Malaysia, Malaysia

Radio Frequency Identification (RFID) is a system that transmits anentity’s identity wirelessly using radio waves in the form of a uniqueserial number. RFID systems are broadly applied in various
applications. The remarkable increase in the use of RFID technology has
resulted in a number of security and privacy issues. Moreover, mostprevious security schemes suffer from the lack of a global standard
secure communication and the time-consuming computational processof the necessary database activities. This paper focuses on the problems
faced by RFID protocols attempting to raise security and privacy.
Therefore, several criteria of RFID protocols will be compared anddiscussed on some chosen security protocols; including conformity to
the EPCglobal C1-G2 standard, ability to implement on low-cost tags,
anonymity, privacy, tracking, forward security, DoS attack, andimpersonation attack.

Analyzing and Visualizing News Trends Over Time

Lubaba Farin Tanisha1, Bishwajit Banik Pathik2, Manzur H. Khan1, Md.
Mamun Habib3
1American International University-Bangladesh (AIUB), Bangladesh
2American International University-Bangladesh, Bangladesh
3
Universiti Utara Malaysia (UUM), Malaysia

NewsVis provides the groundwork for a new kind of visualization to
explore the news in a guided and manipulable fashion. With access to alarge news data set, the tool provides control over news data by
mapping a collection of news based on their similarity and dissimilarity
into a two-dimensional space, which illustrates the most similar news in
red and the opposite in blue. Thus showing a context the readers have
not yet read. The tool applies query string analysis to a collection of text
data. The resulting graphs show a total and individual occurrences ofgiven query strings over a selected time period. News holding theselected query strings are also published sequentially as a list in the toolinterface. NewsVis helps user to compare occurrences of specific news
data, to discover cultural and historical trends and facts, challenge theirassumptions to reveal hidden pictures.

A Novel Tool for Reducing Time and Cost at Software Test
Estimation: An Use Cases and Functions Based Approach

Shaiful Islam1, Bishwajit Banik Pathik1, Manzur H. Khan1, Md. Mamun
Habib2
1
American International University-Bangladesh, Bangladesh
2
Universiti Utara Malaysia (UUM), Malaysia

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 4 case projects, namely Climate
Resilient Ecosystems and Livelihood (CREL), Management Accounts
Consolidation System for Line Director (LDMACS), PBI WorksManagement System Software and Mobile Apps and Human Resources
Management System (HRMS), in order to determine the time and costof those projects. Since few software test estimation tools are available
in the market, however, this paper would be fruitful for the software
industry to explore the time and cost of any real software test project.

Self-focusing Appearance in Ultra-compact 3×3 MultimodeInterference Coupler Based on Silicon on Insulator
Mehdi Tajaldini1, Mohd Zubir Mat Jafri2
1
University Sains Malaysia, Malaysia
2
Universiti Sains Malaysia, Malaysia

The study of multi mode interference (MMI) couplers in silicon wave
guides is limited by the high index contrast, especially when operated
in nonlinear regime. In low index contrast, the common method is beam
propagation method (BPM) that is based on several algorithms which
propose a simple numerical method, but, in nonlinear high index
contrast, the modal propagation analysis based on finite difference
method (FDM) is a rigorous method, and high index contrast is a super
benefit to confine the wave in wave guide in the maximum rate toappearance the self-focusing in highly ultra-compact size. In this paper,
we investigate the nonlinear effect in high index contrast structure ofsilicon on insulator (SIO) 3×3 multimode coupler. Moreover, bysimulation of the wave propagation while the input intensities are
increasing simultaneously, the appearance of self-focusing aredemonstrated. The results show capability of nonlinear modal
propagation by FDM numerical solution. Wave propagation in
multimode region accomplished with the output electric field indicate
the good efficiency for the considered purposes.

36Session
Date
Time
Room
ChairsHealthcare Systems & Management
10/12/2014
13:30 - 15:00
Jamaica
Juha Puustjärvi, Kai-Way Li

Healthcare Platforming for Healthcare Service Developmentin Hospitals
Linda L. Zhang1, Michel Aldanondo2, Arun Kumar3
1
IESEG School of Management (LEM-CNRS), France
2
Toulouse University-Mines Albi, France
3
RMIT University, Australia

The platforming concept has been successfully applied to develop
diverse customized products in the manufacturing industries,
make-to-order (MTO) firms in particular. In view of the need to havestructured approaches to developing healthcare services, this study
proposes to adopt the platforming concept in service development in
hospitals. More specifically, it proposes healthcare platforms. As theinitial efforts, this study (1) compares the similarities between hospitals
and MTO firms, (2) presents a framework for planning healthcare
platforms, and (3) discusses in detail a number of potential avenues for
future research on healthcare platforming.

Design of a Dynamic Bi-objective Relief Routing Network in
the Earthquake Response Phase

Shadab Shishehgar1, Reza Tavakkoli-Moghaddam1, Ali Siadat2, Mehrdad
Mohammadi1
1
University of Tehran, Iran2
Arts et Métier Paris Tech, France

In humanitarian relief operations, especially when a disaster occurs, thetransportation of both injured people to the medical centers and relief
commodities to the affected area are vital. On the other hand, thesedisasters usually continue with a secondary disaster (e.g., Aftershocksof an earthquake) which decreases the service level of the affected area
due to disruptions in the connection routes. This paper proposes a
dynamic bi-objective, multi-commodity, multi-mode relief routing
network, in which an inventory is taken into account for each affectedarea in preliminary periods of an earthquake response to overcome theprobable shortages in subsequent periods. The objective functionsattempt to simultaneously minimize total transportation and inventory
cost and unserved injuries. Finally, a numerical example is solved using
GAMS software.

Towards an Instrumented Tissue Expander

Annette Böhmer1, Alexander Zöllner2, Ellen Kuhl2, Udo Lindemann1
1Technische Universität München, Germany
2
Stanford University, United States

Tissue expansion is a surgical procedure to grow additional skin percontrolled mechanical stretch. Despite the progress of thisreconstructive treatment, there are still some limitations. Both, theinflation protocol and the filling volume vary for every patient. The aimof this paper is to present a first attempt of a sensor featured tissue
expander. This so-called instrumented tissue expander provides thetreating surgeon a sensory feedback to enhance a successful treatment.
The implementation of a pressure sensor enables the display of both,the current expander pressure and the pressure over time. Based on the
progress of the pressure curve, the inflation time points are triggered.
The skin growth is maximized and adjustable to each individual patient.
This new way of tissue expansion is simulated with a finite element
model. The skin growth is implemented as a strain-driven process. In
addition, a first feasibility prototype is built.
Based on the pressure-time diagram the condition of the skin can be
deduced from the first derivative. Additionally the user is always
enabled to observe or rather check the current pressure inside the tissue
expander. Moreover, the risk of necrosis or pressure-induced ischemia
is minimized. Thanks to the technical data the treatment is simplified
for less experienced surgeons. Experienced doctors can train lessexperienced surgeons by monitoring and comparing both theappearance of the skin and the pressure data.

Health System Design: A Financial Perspective

Hans-Jakob Luethi, C. Mandl, Philippe Widmer
ETH Zurich, Switzerland

With prospective payment becoming more common in medical services,
measuring the costs of risk is gaining importance. This paper derives astylized mathematical model which addresses the risk transfer from theinsurer to the provider in the Swiss DRG system. Similar to the
Value-at-Risk concept in financial industries, we ask how to adjust thepremium of the provider or the insurer such that the risk of financial
loss is bounded. By focussing on the risk-transfer we are able tounderstand the basic strategies of risk mitigation for both agents.

37

Results indicate that the two parties are exposed to different risks. The
risk exposure of the provider’s income is unexpectedly high andstrongly depends on its portfolio selection while it remains small for the
insurer. General providers offering basic services are likely to makesubstantial losses whereas specialized health clinics might profit fromadverse patient selection.

An Employee Assistance Program by Analyzing theCorrelation Between Work Stress and Dreams for Chinese
Employees
Kuei-Chen Chiu1, Tsai-Wei Huang2, Shulan Hsieh1
1National Cheng Kung University, Taiwan
2
National Chiayi University, Taiwan

This paper provides an employee assistance program to help humanresource manager for releasing work stress of their Chinese employees
by analyzing the correlation between work stress and dreams in
Chinese people. This study verifies the validity and reliability of the
proposed questionnaire by SEM, investigates dreams and work stressbehaviors of Chinese people by the proposed questionnaire, analyzes
the collected data by ANOVA, and Canonical Correlation Analysis, andprovides an employee assistance program according to the analysis.
The results show that Chinese people have high canonical correlation
coefficient between dreams and work stress behaviors. The results
show how Chinese people release their work stress in conscious andunconscious ways, which can help human resource managers incounseling on work stress for Chinese employees, consulting clientsfrom work stress, and planning the Employee Assistance Programs.

A Novel Simulated Metamorphosis Algorithm for Homecare
Nurse Scheduling
Michael Mutingi1, Charles Mbohwa2
1
Namibia University of Science & Technology, Namibia
2
University of Johannesburg, South Africa

Inspired by the biological concepts of metamorphosis evolution, thispaper presents a novel simulated metamorphosis (SM) algorithm forsolving the homecare nurse scheduling problem in a fuzzyenvironment. The algorithm is motivated by the need for interactive,
multi-objective, and efficient optimization approaches to solving
problems with fuzzy conflicting goals and constraints. The SM goes
through initialization, growth, and maturation phases, mimicking themetamorphosis process. Initialization generates a candidate solution
which successively goes through growth and maturation loops.
Comparative computational tests on benchmark problems show that,when compared to other algorithms, SM is more efficient and effective,
producing near-optimal solutions within reasonable computation
times.

Education Management in Healthcare Communities
Juha Puustjärvi1, Leena Puustjärvi2
1
University of Helsinki, Finland
2
The Pharmacy of Kaivopuisto, Finland

Building a personal curriculum in continuous education is a challenge
as there are several educational institutions that provide various
courses, and there are no unified ways the content of the courses ispresented. Further, in many organizations it is of high importance thatthe personal curriculums are in the lines with the skills andcompetences needed in the organization. In this paper, we describe how
a healthcare community can exploit modern ICT technologies inmanaging continuous education. The corner stone of our solution is ourdesigned Education ontology. It is an integration of the Employee
Ontology, Competence ontology, Business Rule ontology, and Learning
Object ontology. Such an integrated ontology enables a wide variety ofqueries that cannot be processed on a single ontology, i.e., we canachieve outcomes that would not be obtainable by functioning
independently. In our cloud-based architecture the applications are
revolved around the shared Education ontology. Thus anyone with asuitable internet connection and a standard browser can access theapplications in the cloud.

Session
Date
Time
Room
ChairsIntelligent Systems I
10/12/2014
15:30 - 17:00
Jamaica
Gamini Wijayarathna, Dianne Lee-Mei Cheong

Study on the Production Forecasting Based on Grey Neural
Network Model in Automotive Industry
Bin Lin, Seng Fat Wong, Weng Ian Ho
University of Macau, Macau

The automotive industry has been dramatically developed these years.
However, the whole process of automotive production chain is directly
affected by the accuracy of its production forecasting model, such as
safety inventory quantity, out of stock losses, and timely performance.
Therefore, to improve the accuracy of production forecasting, this paper
uses the Chinese automotive industry as a case study, which has been
the largest in the world measured by automobile unit production since2008. It presents three kinds of combined models based on grey neuralnetwork, which are parallel grey neural network, series grey neuralnetwork, and inlaid grey neural network, compared the single modelGM(1,1) and neural network. The experimental results demonstratethat the combined models are higher forecasting accuracy than the
single model.

The Need for Integrating Statistical Process Control andAutomatic Process Control
Abdul-Wahid A. Saif
King Fahd University of Petroleum & Minerals, Saudi Arabia

Statistical Process Control (SPC) and Automatic Process Control (APC)
are two different methods for quality improvement and processadjustment that have been developed in isolation from each other andapplied within different industries. SPC minimizes variability bymonitoring and eliminating the assignable causes of variation whereas
APC achieves the same objective by handling manipulated process
variables to keep the process outputs on target. Initially, both methods
were considered to be in conflict with each other, until their advocatesrealized the fact that the techniques being applied were complementary.
Consequently, a considerable amount of work has appeared in theliterature regarding the joint use of APC and SPC that provided a
breakthrough in the field of process control. This paper highlights thedevelopments and the need for the integration of this two techniques
Also it highlights the associated issues and possible future directions ofresearch. An example that require the integration of both methods ispresented.

Modeling Novices in Decision-problem Structuring forCollective Intelligence
Dianne Lee-Mei Cheong
Universiti Teknologi MARA, Malaysia

Most often, novices do not recognize that they are also responsible formanaging their organization’s decisions. There are significant gaps in
the novices’ understanding of how people decide naturally. Novices
have limited awareness of useful decision principles. They may not
been adequately trained to work in the complex and ambiguous system
where conflict arises from cultural differences as well as divergent goals.
This study explored how novices structure a decision-problem based on
the Management Information System domain. It enabled the modelingto be based on a simple descriptive behavior in problem structuring.
The subsequent mathematical model can be nuanced for wider
application and appreciation as an aid in problem structuring forcollective intelligence. Collective intelligence is primarily seen as awillingness to share and develop potentially useful input from thegroup.

outcomes. Analysis showed that some limitations of the tools whichcannot be used by non-technical people in SMEs.

A Methodology for Fuzzy Multi-criteria Decision-making
Approach for Scheduling Problems in Robotic Flexible
Assembly Cells
Khalid Abd, Kazem Abhary, Romeo M. Marian
University of South Australia, Australia

Multi-criteria decision-making (MCDM) is a method for ranking
solutions and finding the best one when the decision maker has two
criteria or more. AHP, ELECTRE and TOPSIS are the most popular andacceptable MCDM methods. However, they are not suitable any longer
to make decisions when the information is uncertain and vague.
Therefore, the purpose of this study is to develop a new approach,using fuzzy MCDM, to deal with multi-objective problems for the
dynamic scheduling in robotic flexible assembly cells. The effectivenessof the proposed approach will be demonstrated through a case study inPart II of this paper.

Application of a Fuzzy Multi-criteria Decision-making
Approach for Dynamic Scheduling in Robotic Flexible
Assembly Cells
Khalid Abd, Kazem Abhary, Romeo M. Marian
University of South Australia, Australia

This paper is devoted to the application of the developed approachpresented in Part I, to demonstrate its capability in tackling real-world
MCDM problems. In this paper, a hypothetical case study of robotic
flexible assembly cells (RFACs) is considered, to solve multi-objective
optimization problems for dynamic scheduling. In order to find the
optimal solution, a fuzzy decision support system (FDSS) is applied andbuilt using the fuzzy logic toolbox in MATLAB software. The FDSS
combines multi-objective functions in one performance measure nameda multiple performance characteristics index (MPCI). The analysis
results show that the developed approach is practical, works in RFACs
setting, and deal with imprecise and uncertain information.

Overtime Capacity Expansion in Order Acceptance with
Node Based Estimation of Distribution Algorithms

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

Order acceptance with overtime capacity expansion requires trading off
between over and under capacity utilization in order to gain more
profits. This research proposes an overtime capacity utilization orderacceptance model and proposes adaptations of node based estimationof distribution algorithm to solve the order acceptance decisions in
multi-process environments. The results show that node based
coincidence algorithm is a potential algorithm which can maximize
both profit and can maximize the capacity utilization at the same time.

Survey on Tools and Systems to Generate ER Diagram from
System Requirement Specification
Wasana C. Uduwela, Gamini Wijayarathna
University of Kelaniya, Sri Lanka

Lack of Information Communication Technology (ICT) knowledge andthe cost have been identified as challenges to Small and Medium
Enterprises (SMEs) to adapt ICT. However there are tools and systems
freely available to generate information systems automatically, but
those require the database structure of the system. Databaseconceptualization based on the system requirement specification innatural language (SRS-NL) is the most significant landmark in theprocess of database design. Therefore it is desirable to have a tool, sothat the non-technical people in SMEs could use to generate a quality
conceptual database model (CDM) based on NL-SRS automatically.
Comprehensive literature survey was conducted and evaluated theidentified tools by analyzing usability, affordability and quality of the38

Session
Date
Time
Room
ChairsSystems Modeling & Simulation I
10/12/2014
13:30 - 15:00
KaywestNorani Nordin, Kiyoshi Sawada

Dynamic Modeling and Analysis of LM6000 Gas-turbine
Synchronous Generator
Roozbeh Eshraghnia, Randy J. Kleen
General Electric, Power & Water, United States

This paper demonstrates the dynamic performance of synchronous
generator in typical LM6000 gas-turbine during sudden changes
in input torque and during a short circuit fault at the terminals while it
is connected to infinite bus bar based on first engineering principles.
The constructed model consists of a set of nonlinear differential
equations. The analysis given in this paper is valid for a linear
magnetic system where saturation is not considered. In this study,
the stator variables are transformed to a reference frame fixed in therotor. MATLAB is used for analysis and computer traces toillustrate the dynamic behavior of the synchronous generator.

Simulation Based Lean Six Sigma Approach to Reduce
Patients Waiting Time in an Outpatient Eye Clinic
Weidong Lin1, Xianfei Jin2, Sie Yong Chia1
1
Temasek Polytechnic, Singapore
2Integrated Decision Systems Consultancy, Singapore

This paper describes a simulation based lean six sigma approach to
improve the operations in an outpatient eye clinic in Singapore. The
concept of the simulation based lean six sigma approach and its
application into healthcare industry are examined and illustrated using
an example of outpatient eye clinic. The six sigma DMAIC (Define,Measure, Analyze, Improve and Control) phases are adopted to
identify opportunities for improvements based on lean tools like Value
Stream Mapping. A simulation model is then built for study the systems
stochastic behavior during the improvement phase. The experiments
based on our model and hypothesis tests are conducted with positive
results, showing that the redesigned appointment system is able toreduce patients waiting time by 23.7% in average.

Combining Set-based Concurrent Engineering and FunctionMeans Modelling to Manage Platform-based Product Family
DesignDag Raudberget, Marcel Michaelis, Hans Johannesson
Chalmers University of Technology, Sweden

The purpose of this work is to present a new design methodology for
product platforms that combines Enhanced Function-Means Modellingand Set-Based Concurrent Engineering. The result is the Architectural
Option Chart that uses functional couplings between functional
requirements and design solutions to eliminate unfeasible platform
members

Simulation of New System Departure Terminal
Soekarno-Hatta International Airport

Dimas Novrisal1, Nuraida Wahyuni2, Nadia Hamani3, Abderrahman
Elmhamedi4, Tresna Soemardi5
1
Université de Paris 8, France
2
University of Sultan Ageng Tirtayasa, Indonesia
3
Université de Picardie Jules Verne, France
4
Paris 8 University, France
5
University of Indonesia, Indonesia

Soekarno-Hatta International Airport (SHIA) has a new system called
Grand Design of SHIA. The measurement of current system has been
done in previous work. The objective of this research is to measure theperformance of the departure terminal in the new system of SHIA andcompare it with the current system. Discrete-event simulation method
developed to measure the system Pro Model simulator software, from
Pro Model Corporation, was utilized to simulate the new system. The
results of this system show that it can reduce the passengers’ waitingtime. To see the reliability of the new system, the authors make somescenarios based on the increasing of passengers between 2015 and 2030.
There is a significant difference from 2020 to 2025 in amount of 25% inorder to the passengers’ average time.

39

Numerical Simulation of Stress Distribution of a
Femur-Menisci-Tibia Bone During Normal Standing, Normal
Walking, and Standing with a Cane
Angkhana Prommarat1, Athassawat Kammanee2, Thitikom Puapansawat1,
Farida Chamchod1
1Mahidol University, Thailand
2
Prince of Songkla University , Thailand

This paper proposes a mathematical model of stress distribution of a
Femur-Menisci-Tibia (F-M-T) bone in three-dimensional spaces of aperson with 90kg body weight during normal standing, normal
walking, and standing with a cane. Numerical simulation based on thefinite element (FE) method is carried out. Our results suggest that the
Von Mises stress of menisci during standing with a cane is lowest while
the stress during normal standing is highest among three activities. Our
study highlights that a cane can reduce the Von Mises stress and help
prevent bone damage in a patient.

Statistical Analysis and a Social Network Model Based on
the SEIQR Framework
Benjamas Chimmalee, Wannika Sawangthong, Rawee Suwandechochai,
Farida Chamchod
Mahidol University, Thailand

Understanding the spread of infectious diseases is an important key toefficiently
control
them.
In
this
study,
asusceptible-exposed-infectious-quarantined recovered (SEIQR) model
incorporated with a dynamic social network is proposed to investigate
the disease transmission dynamics in the human population and how
the number of individual’s neighbor (degree of a node), and the longest
distance between any two neighboring nodes (the contact radius)
influence the number of infectious individuals. Our results indicate
that(1) the larger contact radius of an individual node leads to thehigher number of infectious individuals (2) the degree of a node hassignificant effect on individual infection (the higher the degree of thenode, the higher the possibility that individuals represented by those
nodes spread the disease) and (3) the probability of successful infection
canbe estimated as a function of the degree of a node by the binary logistic
regression model and we found that it may affect the outbreak period.

Placing a Liaison with Long Communication Lengths to theSame Level in an Organization Structure
Kiyoshi Sawada
University of Marketing and Distribution Sciences, Japan

This study proposes a model of placing a liaison which forms relations
to all members in the same level of a pyramid organization structuresuch that the communication of information between every member inthe organization becomes the most efficient. This model considers that
lengths between the liaison and the other members are more than thosebetween members except the liaison in the organization. When an
added node of liaison gets adjacent to all nodes with the same depth N
in a complete binary tree of height H where the lengths of edges
between the liaison and the other members are L(1 < L < 2) while thoseof edges between members except the liaison are 1, we obtained an
optimal depth N^∗= H which maximizes the total shortening distancewhich is the sum of shortening lengths of shortest paths between every
pair of all nodes in a complete binary tree.

Session
Date
Time
Room
Chairs

Project Management I
10/12/2014
15:30 - 17:00
KaywestLinda Zhang, Ramanathan Chidambaram

Setting Up An Intellectual Properties Intermediary Service:
DMAIC WayKim Siow
Universiti Kebangsaan Malaysia, Malaysia

Intellectual properties intermediary service increases the adoption oftechnologies within the company by commercializing external
intellectual properties i.e. patents. This paper documents a DMAIC likeapproach to establishing such intellectual properties intermediaryservices. This paper outlines the different challenges and solutions
adopted to overcome the issues encountered during each phase of
DMAIC “Define, Measure, Analyse, Improve and Control” in setting up
this intermediary service. This paper is expected to serve as a usefulreference to parties interested to set up similar intermediary services.

Modular, Building Blocks - Based Approach for Information
and Documentation Management in Planning Projects
Daniel Oehme, Ralph Riedel, Egon Müller
Technische Universität Chemnitz, Germany

The management of knowledge and information in projects is decisive –not only for the success of one project but also for knowledge transfer
between projects and therefore for the sustainable success of any
organization dealing with projects. However, documentation of
information and knowledge causes effort that is often not planned andoften not available in operative project work. Therefore, we propose amodular approach for information and documentation management inprojects which is based on building blocks. Our concept consists ofthree levels which are elaborated in detail in the paper: a level withgeneric building blocks, an operational project process level, and a levelof operational (software) support. Beyond the content of the concept
and its parts we also discuss practical implications and benefits.

Establishing the Development Mechanism of ERP Report

Te- King Chien, Hou-Yi Lin
National Formosa University, Taiwan

Although many scholars and executives had investigated enterprise
resource planning (ERP) related issue, but executives need tounderstand the operating performance of each department and wholeenterprise, so requested many customized ERP report. However, due tothe industry scope are quite diverse, caused the standard reportprovided by ERP vendors can't meet the demand of each enterprise.
Thus, customized report not only is obstacle for enterprise, but a highpressure for ERP vendors. Therefore, this study reviewing many
research results about action research and collaborative design, thenapply qualitative research method, to find the critical implementation
item and quality control forms, even establish the ERP report design
mechanisms. This result pioneers ERP report mechanism in academic,
continually improves report quality and dramatically raises overall ERP
implementation value in practical.

Multi-objective Optimization and Risk Assessment in
System Engineering Project Planning by Ant Colony
Algorithm
Pablo Baroso, Thierry Coudert, Eric Villeneuve, Laurent Geneste
University of Toulouse, FranceThis article addresses the multi-objective optimization in systemengineering project planning. At the earliest steps of a systemengineering process, many choices can be done taking into accountexperience feedback. An approach that permits to a decision maker toperform the selection of scenarios during a project is presented. The
objectives to optimize are the total cost of the project, its total durationand the global risk. An algorithm based on the Ant Colony Algorithm(ACO) and the Pareto front principles is used. It permits to explore theobjective space and to propose to the decision makers Pareto-optimal
solutions that are distributed on the Pareto front. The method permits
to select solutions (different scenarios for a project) taking into accountthe risk that a problem arises. The ACO has been developed with theRuby language and some experiments have been done in order tovalidate the approach.

Analyzing Implementation of Lean Production Control with
the Viable System Model
Fatos Elezi1, Michael Timo Schmidt1, Iris Tommelein2, Udo Lindemann1
1Technische Universität München, Germany
2
University of California, United States

Implementing lean production control systems can pose difficulties atseveral levels. To overcome incomplete implementation, e.g., caused byunclear description of control structures in an organization, this paper
presents an approach for analyzing lean implementations that uses
functional abstraction of the control system combined with the Viable
System Model (ViSM1) from Management Cybernetics. To illustrate theapplication of this approach, the control system embedded in the Last
Planner® System (LPS) that is used in lean construction is described.
The LPS’s control structures are identified and mapped to ViSM
functions to show the applicability of the cybernetic approach. A casestudy then illustrates the use of these structures in a LPS
implementation. Based on this promising start, the paper concludes
with suggestions for further research.

Development of QuicKaizen^TM Technique for Productivity
Execution Management for Singapore SMEs
Chin Wei Gan, Ming Hon Toh, Roland Lim, Bin Ma, Puay Siew Tan, Amrik
Singh Bhullar
Singapore Institute of Manufacturing Technology, Singapore

Productivity has been identified as a key strategy by the Singapore
government to drive economic growth for the next ten years. Limited
resources and time constraints make it difficult for Small and Medium
Enterprises (SMEs) in Singapore to embark on productivity
improvement initiatives above their daily operational activities. Hence,a new technique is needed to boost or expedite productivity initiative
implementation. Based on the concepts of Lean, Quick Changeover,Single Minute Exchange of Die (SMED) and methods like Kaizen Event
planning, the QuicKaizen^TM technique was developed. This paper
explains what the QuicKaizen^TM technique is; its components; andhow to use it effectively for productivity execution management.
Results show how Singapore SMEs have successfully used the
QuicKaizen^TM technique to help them achieve their objectives anddeliverables.

The Resource-constrained Project Scheduling Problem with
Stochastic Activity Durations
Stefan Creemers
IESEG Management School, France

The Resource-Constrained Project Scheduling Problem (RCPSP) has
been widely studied. A fundamental assumption of the RCPSP is thatthe activity durations are known before their execution. In reality,
however, this is almost never the case. In this article, we illustrate why it
is important to incorporate activity duration variability and develop an
exact model to solve the Stochastic Resource-Constrained Scheduling
Problem (SRCPSP). The performance of the model is assessed using acomputational experiment. The model is intended for small- to medium
sized projects where activities have a moderate- to large level ofduration variability.

A Comparative Study Among Stakeholders on Causes ofTime Delay in Malaysian Multiple Design and Build Projects
Ramanathan Chidambaram1, Narayanan Sambu Potty2
1
Kumpulan Liziz Sdn. Bhd., Malaysia
2
Universiti Teknologi Petronas, Malaysia

The construction industry plays an important role in developing anation to a fully developed status. The construction industry, unlike
other industries has unique problems concerning project completion.
Projects are now more complicated involving huge contract values,
participants from multi-discipline, more specialised works, tighter
schedule, more cost consciousness, stringent quality standards, etc.
Ultimately, cost and time are the two key parameters that playsignificant role in construction project management. In Malaysia very
few studies have been attempted on the factors causing time delay.
Besides, there has been no such study related to multiple Design and
Build (D&B) projects. The study focused on D&B projects which havecomplicated risk governed with fixed time and a fixed contract sum(Lump sum). Thus there is a need for comparative study on the risk
factors causing this time delay which enables the Malaysianconstruction to respond proactively and more effectively to time delay
factors.

40

Session
Date
Time
Room
ChairsHuman Factors I
10/12/2014
13:30 - 15:00
CancunPeter Kuhlang, Myung Hwan Yun

Enhancing Work System Design and Improvement by
Further Developments of Value Stream MappingPeter Kuhlang1, Thomas Edtmayr2, Alexander Sunk2, Thomas Mühlbradt1
1
MTM-Institute, German MTM-Association, Germany
2
Vienna University of Technology, Austria

The main goal of a company is to conduct target oriented
rationalization efforts. Thus, the challenges are, among others, totransparence, to bundle, to adapt, to reinterpret and to develop
personal and organizational competencies for systematic and methodic
planning, designing and implementing, i.e. giving sustainableimprovement of processes and value streams. This article describes thefurther developments of “Value Stream Mapping” (Value Stream
oriented Process Management, Value Stream Mapping and MTM,
evaluation of alternative value streams, cost development of value
streams by changing input parameters). Existing, implicit knowledge
will be explicated and systematically bundled along the value stream
from different departments of a company in order to enhance work
system design and improvement. The personal and organizational
system and method competencies are therefore available to evaluate
improvement measures and to perform their target-oriented
implementation.

Influence of Human Factors Over Idea Generation: a
Qualitative and Quantitative Analysis of an Enterprise of theGraphic Sector in Medellin
Manuela Escobar Sierra, Luz Dinora Vera Acevedo
Universidad Nacional de Colombia, Colombia

The objective of this article is to analyze the influence of human factors
on generation of ideas in an enterprise of the graphic sector; theresearch strategy is the case study; data was recollected throughcreative techniques, cognitive styles test, quality criteria, participant
observation, multimedia resources and interviews; mixed factor design
and grounded theory were used for the analysis. This study revealed
the importance of creative techniques to stimulate creative thought andhuman factors (cognition, personality and motivation defined byemotions) in the generation of quality ideas for innovation.

The Effect of Font Size on Typing Performance and Sitting
PostureHaruetai Lohasiriwat, Temsin Wattanapanich, Panmeq Saechan
Chulalongkorn University, Thailand

Working with computer usually required prolonged static sitting. Bothstatic work and awkward posture are well known as the two majorergonomic risk factors in such activity. Workstation arrangement
guidelines are usually suggested based on good working posture. In
this study, rather than investigating on the physical dimensions of theworkstation (i.e., table and chair) like others, we look into the font size
factor instead. Our research is separated into two phases. The firstphase is to study the effect of font size (8 moa, 12 moa, 16 moa, and 24moa) and viewing distance on working performance as measured by
text-entering speed. Our results show that both factors are notsignificant (p-value = 0.464 and 0.913 respectively). Then, in the second
phase, we look at whether there are tendency of sitting posture change
due to the different font size. Our findings show significant differenceon neck angle (p-value = 0.007) but not back angle (p-value = 0.314). Ourfinding suggests that there are more posture deviations under smaller
font size conditions.

Improvement of Workstation by Providing Ergonomically
Designed Chair and Table for the Water Hyacinth Weaving
Department of the Villar Foundation
Devie Ann Gamata, Ralph Orozco, J K. C. Laserna, J. A. Medina, Sheily
Mendoza, R J. U. Garcia
University of Perpetual Help System DALTA, Philippines

The Villar foundation is established to provide job opportunities forhousewives. Weaving section has the highest number of employee andbiggest source of income, that is why the researcher focus on how to
improve their working condition by providing them a set of
ergonomically design chair and table to decrease their stress andmusculoskeletal pain they feel while working and after work;
eliminating those will increase their effectiveness when it comes toquantity and quality of their work. The researchers provide Nordic
questioners to know the condition of each employee. The researchers
also conducted time study to figure out the things needed to bechanged and improved in weaving; the following tests prove that there

41

should be an improvement needed to be done.

The Effect of Psychosocial Stress on Trapezius Muscle
Activity During Computer Work: A Review
Mohd Firdaus Mohd Taib, Myung Hwan Yun
Seoul National University, South Korea

Psychosocial stress is a common phenomenon in a working world.
There are indications that psychosocial stress will increase muscle
activity and eventually contribute to musculoskeletal disorders
problem. The aim of this review is to identify the effect of psychosocial
stress during computer work towards trapezius muscle activity.
Another objective is to identify and categorize the task and condition
used by previous researchers to induce the stress for future study. A
systematic literature search has been conducted and 25 articles havebeen included in this paper. In conclusion, most of previous study havebeen recognized the effect of psychosocial stress on trapezius muscle
activity during computer work. Besides that, several types of tasks havebeen recognized to induce stress among subjects.

Parametric Modeling of 3D Human Faces Using
Anthropometric Data
Chun-Yang Tseng, I-Jan Wang, Chih-Hsing Chu
National Tsing Hua University, Taiwan

Personalized design is a current trend in the field of consumer products.
It aims to enhance the value added by a product or service by satisfying
individual customer requirements. This research proposes a design
method for mass personalization of eyeglass frames. Three-dimensional(3D) face models of Taiwanese females aged 18 to 25 were constructedusing non-contact scanning technologies. Principal Component
Analysis (PCA) was applied to reduce data complexity while
preserving sufficient data variance. Parametric models based on linear
regression and Kriging were developed to correlate the mesh point
coordinates of a face model to a set of feature parameters. These models
efficiently generate 3D facial geometry approximating to individual
users. A design software tool implementing Free Form Deformation(FFD) was introduced to adjust the frame design interactively and toenable real-time design evaluation. This study enhances the practicalvalue of 3D anthropometric data by realizing the concept ofhuman-centric design.

Developing Transfer of Learning Through Reflective
Framing and Design Thinking: An Engineering-games
Design Approach
Chien-Sing Lee1, K. Daniel Wong2
1
Universiti Tunku Abdul Rahman, Malaysia
2
Malaysia University of Science and Technology, Malaysia

Successful inculcation of lifelong learning dispositions and transfer oflearning is critical. We aim to develop these through reflective framingand design thinking. The former helps in reformulating old problems or
discovering new ones. The latter leads to the development of generalprinciples, useful in helping learners to search for abstract
problem-solving methods and mental schemata, which subsequently,
serves as analogy-enhancing transfer between different task situations.
An Engineering-Games Design human factors approach is applied asthese exemplify the interdisciplinary ecosystem which requires
technological problem- solving, and planning abilities from conception
to completion. Findings indicate building on prior knowledge, andevidences of micro and macro causal structures, and evidences of neartransfer (genres as classes and its instantiation) and far transfer between
Web and portfolio design. We hope the findings will help instructors tomake more informed decisions as to the design of context, task andassessment for Engineering Education.

Session
Date
Time
Room
Chairs

Production Planning & Control I
10/12/2014
15:30 - 17:00
CancunPhilipp Baumann, Norbert Trautmann

Process Family Planning: An Optimization-based Approach
Roel Leus1, Linda L. Zhang2, Daniel Kowalczyk1
1
KU Leuven, Belgium
2
IESEG School of Management (LEM-CNRS), FranceThis study is aimed at providing companies with decision support inselecting the most suitable production processes for producing diverse
customized products belonging to a family, in attempting to achieve
production efficiency while utilizing the available manufacturingresources. One of the measurements of “best suitability” is thesimilarity of production processes for producing product family
members. If the production processes are similar, there will be fewer
production changeovers. This, in turn, helps achieve not only efficiency
but also product quality. We develop an integer linear formulation forthe selection of production routings for each member of a productfamily, and for the assignment of an execution mode to each operationin each selected routing. We report on computational experiments with
an illustrative example instance.

Efficient Symmetry-breaking Formulations for Grouping
Customer Orders in a Printing Shop
Philipp Baumann, Norbert Trautmann
University of Bern, Switzerland

This paper deals with a real-world printing shop, where theoffset-printing technology is used to imprint customer-specific designs
on napkin pouches. The optimization problem consists of allocating thedesigns to the slots of some printing plates such that the given demandfor each design is fulfilled at minimum total overproduction and setup
costs; thereby, various technological and organizational constraints
arising from the production equipment are to be met. We present twoalternative mixed-binary linear programming formulations; a structuraldifference between the two formulations is that they eliminate
symmetric solutions explicitly or implicitly, respectively, from thesearch space. The computational results for a set of problem instances
devised from real-world data indicate that both formulations are able tofind optimal solutions for small instances in short CPU times. For larger
instances, the implicit formulation performs significantly better interms of average integrality gap and number of instances solved tofeasibility.

Continuous Precise Workload Control Method

Hakan Akillioglu, Joao-Dias Ferreira, Antonio Maffei, Pedro Neves, Mauro
Onori
Royal Institute of Technology, Sweden

The diversity of requirements and the frequency of change in themarket can only be competed with dynamicity and responsiveness inboth production and planning systems. In this sense, working
principles of a novel workload control method, called continuous
precise workload control are presented in this paper. The
implementation of the method is based on a multi-agent basedarchitecture. The presented approach generates dynamic non periodic
release decisions exploiting real time shop floor information. The
performance of the system and correlation of norm value against theassessment range are investigated through an experimented test case.

Scheduling a Dynamic Flowshop to Minimize the Mean
Absolute Deviation from Distinct Due Dates
Ahmed W. El-Bouri
Sultan Qaboos University, Oman

A dynamic flowshop, where new job orders continuously arrive overthe scheduling horizon, is considered in this study. The objective is tominimize the mean deviation from the due dates for the completed jobs.
A cooperative dispatching approach is investigated for this objective,
and its performance is evaluated by comparison with other dispatchingrules. The results from the comparative study indicate that thecooperative dispatching performs generally better than otherdispatching rules for problems that are characterized by moderate to
low due date tightness levels. In those instances where the jobs havemoderately tight due dates, the cooperative dispatching approachproduces mean absolute deviations that range between about 7 to 10%
lower than the next best performing dispatching rule across varying
shop floor congestion levels.

A Hybrid EOQ and Fuzzy Model to Minimize the Material
Inventory in Ready Mixed Concrete Plants
Mehdi Ravanshadnia, Milad Ghanbari
Islamic Azad University, IranIn almost all countries, a major percentage of the manufactured cement
and aggregates is used in Ready-Mixed Concrete (RMC) plants.
Therefore a material inventory control system is needed to form a
consumption pattern for this material to optimize warehousing cost andordering in RMC plants. Such a material inventory control system ofbatching plants could be applied as an approach for optimal estimationof the tanks required for storage and feeding of material. In thisresearch, a material inventory control system of batching plants has
been developed by Fuzzy Logic (FL) with Economic Order Quantity(EOQ) model of inventory control. The optimal order quantity of raw
materials in batching plant can be predicted with fuzzy logic.

A Structural Equation Model Linking Forecasting, Planningand Controlling with SME Performance
Biju Puthanveettil1, Bhasi Marath2
1
Rajiv Gandhi Institute of Technology, India
2
Cochin University of Science and Technology, India

The importance and influence of forecasting, planning and controllingon SME performance are analyzed in this paper. A structural equation
model is formed and is tested with a questionnaire survey data,
administered among the selected SMEs in India. Forecasting is foundthe most influencing variable followed by planning and thencontrolling. The compensating role of planning and controlling on firm
performance, when the forecasting is inactive is also revealed. The crossvalidation explains the distinct pattern of use of forecasting, planningand controlling among the SMEs managed by the professional
managers and the conventional owners. The case study discussed inthis paper confirms the model based study. The paper suggests theways for improving the use of forecasting, planning, controlling andfirm performance. This model is useful to the researchers for improving
the existing models.

Economic Level of Detail for Assembly Planning
Achim Kampker, Peter Burggräf, Yvonne Bäumers
RWTH Aachen University, Germany

In order to be competitive, companies have to reduce their production
costs and thus their assembly costs with increasing quality
requirements. To achieve this, companies plan their assembly processes
as detailed as possible. Simultaneously, because of an expending rangeof products with numerous variants, small batches and shorter productlife cycles, the question arises, to what extent the effort of a detailed
planning is still justified. In order to confirm the described practicalproblem and in order to validate first solution hypotheses on thedetermination of an economical planning depth of the assemblyplanning, a preliminary study was conducted at the WZL (Laboratory
for Machine Tools and Production Engineering) of the RWTH Aachen
University. The results of this study are presented in the following
paper.

42

Session
Date
Time
Room
Chairs

Decision Analysis & Methods III
11/12/2014
11:00 - 12:30
Casablanca
Rajasvaran Logeswaran, Elita Amrina

Design for Open Innovation (DfOI) - Product Structure
Planning for Open Innovation Toolkits
Maik Holle, Udo Lindemann
Technische Universitaet Muenchen, Germany

The Design for Open Innovation (DfOI) approach presented in thispaper shall support developers while defining suitable productstructures for the successful utilization of web-based open innovation
toolkits. In this context, it is first of all necessary to analyze
company-specific, customer specific, product specific and toolkit
specific boundary conditions which have influence on the productstructure planning and the resultant area of tension. Subsequently,
possible conflicts within this area have to be identified. Based on this,guidelines for defining suitable product structures during early phasesof product development have to be derived. Against this background,the DfOI approach shall show how to deal with conflicting boundary
conditions related to the product structure planning and how to find an
acceptable compromise.

Effects of Different Classifiers in Detecting Infectious
Regions in Chest Radiographs

Wan Siti Halimatul Munirah Wan Ahmad1, Rajasvaran Logeswaran2,
Mohammad Faizal Ahmad Fauzi1, Wan Mimi Diyana Wan Zaki3
1
Multimedia University, Malaysia
2
Nilai University, Malaysia
3
Universiti Kebangsaan Malaysia, Malaysia

This paper presents the effects of different types of classifiers whenanalysing the normal and infectious regions in chest radiographs. Threetypes of classifiers are experimented on: Rule-based, Bayesian andk-nearest neighbour's. The evaluation is based on a few criteria, namely,
the classification accuracy, misclassification (error), speed, Kappa
statistic, ROC area, and other performance measures specifically thetrue and false positive rates, and precision and recall. The dataset
consists of image features from a total of 102 chest radiographs. The
normal and infectious lung regions are extracted and divided into
non-overlapping sub-blocks prior to the image feature computation.
The quantitative results are presented and discussed for considerationin further analysis of infectious lungs.

Parallelization of Industrial Process Control Program Basedon the Technique of Differential Evolution Using
Multi-threading

Rajeev Agrawal1, Abhinav Goyal1, Debjani Sambasivam2, Arya K
Bhattacharya3
1
Birla Institute of Technology, Mesra, India
2
Tata Steel, India
3
Mahindra Ecole Central, India

Differential Evolution is a population based optimization techniquewhich discretizes the sample space of solution based on generations of
population members and performs a fitness evaluation to determine thebest population members. The fitness evaluation process involves
lengthy calculations, thus becoming the most redundant and time
consuming aspect of the program. The aim of the proposed work is toparallelize an industrial process control program which is based on
differential evolution. The parallelization of program has been carriedout using a multi-threading approach, in which the independent
iterations of the fitness evaluation of Differential Evolution have been
distributed uniformly into separate worker threads, which are thensimultaneously executed on a multi core architecture GPU machine. Byparallelizing the fitness evaluation of the program over the population
members in a particular generation, a speed up of 3.99 times in theoverall execution time has been observed.

43

Weibull Component Reliability Evaluation With Masked
Data
Jieqiong Miao, Xiaogang Li, Renxi Luo
Beihang University, China

Under the condition that the exact component causing system failure ismasked in life testing, a new method is proposed to evaluate thereliability of Weibull component in a series system. Consideringrelaxing the symmetry assumption of masking probability, we obtained
the likelihood function of the Weibull components on the basis of themasking probability does not depend on the distribution parameters. A
latent variable is introduced to rewrite the form of the likelihood
function, and we obtain the estimators of the unknown parameters. The
confidence intervals of Weibull component life-distribution parameterare also inferred with likelihood ratio method. The approach isillustrated with a simple numerical example.

An Extension of PROMETHEE to Divisive HierarchicalMulticriteria Clustering
Yves De Smet
Université libre de Bruxelles, Belgium

We consider an extension of PROMETHEE II for multicriteria orderedclustering. The method is based on a divisive hierarchical clustering
algorithm. A new property of the net flow score is proved and thenused to divide existing clusters. The method is illustrated on two
applications: the ranking of management masters by the financial times
and the human development index.

Effectiveness Assessment for Waste Management
Decision-support in the Arctic Drilling

Yonas Zewdu Ayele, Abbas Barabadi, Javad Barabady
The University of Tromsø - The Arctic University of Norway, Norway

The technological advances, new concepts and the ranges of possible
waste management solutions in the Arctic drilling pose their own
peculiar demands and affects the waste management decision making
process. Thus, it is become imperative to evalute the assessment
methods for their efffectiveness, to support strategic decision. The aimof this paper is to propose steps for evaluating the available assessment
method for their effectiveness. The proposed steps can help to assess
the assurance of the stringent waste discharge requirements in theregion (such as zero hazardous discharge to the sea). By employing the
proposed steps the suitable waste management decision-support tool
can be recommended.

Session
Date
Time
Room
Chairs

Decision Analysis & Methods IV
11/12/2014
13:30 - 15:00
Casablanca
Rudra P Pradhan, Hossam Ismail

Real-time Decision Support System for Resource
Optimization & Management of Threat Evaluation andWeapon Assignment Engineering in Air Defence
Afshan Naseem, Shoab Ahmed Khan, Asad Waqar Malik
National University of Sciences & Technology, Pakistan

Strategic decision making in real time environment of air defence is a
crucial activity. With threat evaluation and available resources, theproblem concerns the assessment and management of optimal solution
to achieve favourable results with uncertainties, constraints and otherrequirements. Optimal use of resources is highly desirable in air
defence system. Based on the multi-attributes decision, threat
perception, threat evaluation and availability of resources/weapons, thepaper presents a decision support system that provides the optimal
solution of problems. At first, with the establishment of threat index
system and optimal scheduling of available resources, strategic decision
is made by high command. Although a substantial attention has been
given by scientific community to address this issue by proposing
sophisticated optimization models, but very limited literature available
to understand the potential of threat assessment and weapon
assignment. This paper identifies the core parameters that can affect theDecision Support System (DSS) and use mathematical notations topresent DSS as time critical system rely on efficient scheduling ofresources. The paper concludes that on the basis of proposed DSS,
optimal solution can be developed for effective emergency
management in air defence.

An Approach to Analyse Key Renewable Energy
Technologies: A Case from Sri Lanka

Amila Withanaarachchi, Julian Nanayakkara, Chamli Pushpakumara
University of Kelaniya, Sri Lanka

Though Sri Lanka has the highest potential to self-sufficient withrenewable energy as of year 2012 more than 70% of country’s electricity
requirements were met with imported fossil fuels. Most of therenewable energy technology options have been analysed based ontechnical grounds. But studies indicate that numbers of social,technological, economic, environmental and political factors are also
hindering the sector’s development. Accordingly, the objective of thepaper is to analyse the renewable energy technologies on non-technicalgrounds. The analysis was conducted in four phases. First expert
selection, second a list of renewable energy technologies wereshortlisted, third initial list of technologies were prioritized based on
two variables, and finally key renewable energy technologies wereselected. The results indicate that wind and biomass based electricity
generation are the two promising renewable energy technologies.
However substantial policy assist is a must for both sectors to operate inlarge scale.

Fuzzy Decision Making in Shape Feature Design for ProductDevelopment

Ching-Hu Yang1, Chung-Shing Wang1, Chin-Fu Chen1, P.Y. Lin1,
Chung-Chuan Wang2
1
Tung-Hai University, Taiwan
2
Chung-Chou University of Science and Technology, Taiwan

In this study, a platform for the product shape design is constructedbased on fuzzy decision making for shape feature in portable electronic
instruments. First, the research summarized shape features of electronic
instruments and analyzed rules from the concept of shape grammar.
Second, the research utilized fuzzy algorithms, including analyzing theweight of shape features by Fuzzy Analytic Hierarchy Process (FAHP),
exploring the relationship between customer demand in shape featuresand rules of shape grammar (technical requirements) by Fuzzy Quality
Functional Deployment (FQFD), estimating the inferential results by
the Fuzzy Synthetic Evaluation Model (FSEM) that made the decision
making platform was built considerately for a pressure meter. Flash
ActionScript was used as the programming tool for building theplatform in shape feature design. Two portable pressure meters areproposed compared with the existed meter as the implementation forproving the research process.

An ANP-based Multi Criteria Decision Making Model for
Supplier Selection
Hisham Alidrisi
King Abdulaziz University, Saudi Arabia

The issue of supplier selection represents one of the hot topics in theindustrial literature. Several practices within various industries are
considered as a reflection of the process of supplier selection. In thispaper, the technique of the Analytic Network Process (ANP) ispresented to show how such a tool can be employed to handle this issue.
The case of one of the Middle Eastern electricity companies is discussed.
The results indicate that "Financial Stability" is the most importantcriterion for supplier selection.

Multi-granules Evaluation Model Through Fuzzy Random
Regression Analysis
Nureize Arbaiy
University Tun Hussein Onn Malaysia, Malaysia

Various approaches and models are introduced to facilitate better
information extraction and decision making. Granular computation is
one of the approaches which provide ability to extract granules
information. Granule and levels are connected by using relationshipand further forms information granule model. Besides that, dealing
with data containing fuzzy and random characteristic is complicated insome way though this kind of data are exist in real world application
and requires proper handling. Thus, a fuzzy random based regression
is introduced to improve the extraction of weight of granules inbuilding a multi-granular decision making scheme. The proposedmodel organize decision or preference provided by evaluators in order
to compute collective assessments about the product samples that will
be used by the decision maker to determine final decision. A numericalexample shows the usability of the model and presents the advantage ofthe proposed method.

Bibliometric Methodology to Detect Collaborative andCompetitive Countries

Shino Iwami1, Francisco Tacoa1, Junichiro Mori1, Yuya Kajikawa2, Ichiro
Sakata1
1
The University of Tokyo, Japan
2
Tokyo Institute of Technology, Japan

Analyses by countries are in high demand, because many
policy-makers and business-planners think by country. We areproviding the system of citation network analysis, and we strengthen
analyses by countries in this work. So, user will be able to easily extract
country’s keywords and compare text-based similarity and number ofinternational co-authors between countries. These new functions would
unveil relations between countries. The purpose of this work is toestablish a methodology to detect potential collaborative andcompetitive countries in science and technology, comparing text-basedsimilarity and number of international co-authors. In this work, we
focused on analysis about Japan as an example, and we could pick up
several implicit relations which have potential to grow collaborative orcompetitive relations.

44Session
Date
Time
Room
Chairs

Decision Analysis & Methods V
11/12/2014
15:30 - 17:00
Casablanca
Ali Siadat, Abdel-Aziz M. Mohamed

A Case Study on Mining Social Media Data

Hing Kai Chan1, Ewelina Lacka2, Rachel W. Y. Yee3, Ming K. Lim4
1
University of Nottingham China, China
2
University of Strathclyde, United Kingdom
3Hong Kong Polytechnic University, Hong Kong SAR
4
University of Derby, United Kingdom

In recent years, usage of social media websites have been soaring. This
trend not only limits to personal but corporate web-sites. The latter
platforms contain an enormous amount of data posted by customers orusers. Without a surprise, the data in corporate social media web-sites
are normally link to the products or services provided by the companies.
Therefore, the data can be utilized for the sake of companies’ benefits.
For example, operations management research and practice with theobjective to make decisions on product and process design.
Nevertheless, little has been done in this area. In this connection, thispaper presents a case study to showcase how social media data can be
exploited. A structured approach is proposed which involves theanalysis of social media comments and a statistical cluster analysis to
identify the inter-relationships among important factors.

Understanding Sustainability in Healthcare Systems: A
Systems Thinking Perspective
Michael Mutingi1, Charles Mbohwa2
1
Namibia University of Science & Technology, Namibia
2
University of Johannesburg, South Africa

Healthcare systems are often confronted with problems of scarce
resources and the ever-increasing demand. As a result, healthcareorganizations always seek to ensure sustainable satisfaction of thesociety’s health status, the employee’s expectations, as well as theorganizational objectives. While patient satisfaction is known to be a
crucial factor in the social component of healthcare sustainability,
employee satisfaction (job satisfaction), and organizational effectiveness(satisfaction) are important; fulfilment of the patient, the employee, andthe management is essential. However, there are complex factors
behind the three major players in the healthcare system. A balanced,
holistic systems view is therefore necessary to ensure sustainable
quality of life and business survivability and growth. By viewing thehealthcare system as a system of systems, we propose a systems
thinking approach to analyze individual and overall satisfaction,
together with the pertinent factors and their relationships within thehealthcare system. We suggest a set of satisfaction indices defined interms of the perceived satisfaction of the three players in a complex
healthcare system.

Mitigating the Effort for Engineering Changes in ProductDevelopment Using a Fuzzy Expert System

Tobias Kindsmüller, Florian G. H Behncke, Benjamin Stahl, Klaus Diepold,
Martina Wickel, Daniel Kammerl, Konstantin Kernschmidt
Technische Universität München, Germany

The timing of testing the maturity of a product within the productdevelopment process challenges manufacturing firms. This paper
presents an approach to identify the timing to be checked for
differences between the as-is-state and anticipated to-be-state of thedevelopment. Therefore, a model is established to simulate a productdevelopment process by using a fuzzy-expert system.Using this model,
an optimization is performed to ascertain an ideal timing.

Information Communications Technology (ICT)Infrastructure Impact on Stock Market- Growth Nexus: The
Panel VAR Model
Rudra P Pradhan
Indian Institute of Technology Kharagpur, India

This paper examines the mutual relationship between information
communication technology (ICT) infrastructure, stock market depth,
and economic growth in the selected Asian countries for the period
between 1961 and 2012. The ICT infrastructure (such as telephone mainlines, mobile phones, internet users, internet servers and fixed
broadband) are assessed and by a composite index with the help ofprincipal component analysis (PCA). Our results revealed that there is along-run equilibrium relationship between the three variables. We
then used a panel vector auto-regression (VAR) model to reveal thenature of Granger causality among the three variables. As expected, theresults depict the feedback relationships between ICT infrastructure,
economic growth and stock market development.

45

A Mathematical Formulation for Low Carbon Electricity
Planning in the Presence of Technology and Policy
Interventions
Amrutha Appiyah, Muthu Mathirajan, Balachandra Patil
Indian Institute of Science, India

To address climate change and resource related constraints, there is aneed for integrating Renewable Energy (RE) along with conventional
nonrenewable sources to achieve a low carbon electricity system. But inmany instances, there is insufficient renewable energy capacity
installed in the system. For optimally matching the supply-demand inan electricity utility with numerous supply-side management (SSM)
alternatives of electricity generation, we explore various RE technology
interventions along with RPO (Renewable Purchase Obligation) andREC (Renewable Energy Certificate) policy interventions. For solving
this problem, a Linear Programming (LP) model to obtain an optimal
mix of supply, and minimum cost and emission is developed. A LINGO
set code is developed to generate the LP model for any given data. The
proposed model is validated using the data obtained from Karnataka
Electricity System.

Five Factors That Make Pervasive Business Intelligence a
Winning Wager
Riccardo Cognini, Flavio Corradini, Alberto Polzonetti, Barbara Re
University of Camerino, Italy

Evidence of the competitive value of business intelligence (BI) andanalytics solutions is growing. Fact-based decision making is spreading
throughout commercial, nonprofit, and public sector organizations. The
economic downturn is spurring organizations to examine ways ofretaining customers, spending capital and operating budgets, andcomplying with regulations. However, over the long term, BI solutions
will continue to be applied to optimize a wide array of processes in aneffort to improve performance management and organizational
competitiveness.
An increasing number of organizations are making BI and analytics
functionality more broadly available to all decision makers inside andoutside the organization. Internally, more pervasively available BI
solutions lead to greater accountability by all employees and greater
consistency in performance management. Externally, relationships with
supplier and partners can be strengthened through effective sharing of
key performance indicators (KPIs). However, having pervasive BImeans more than having the appropriate BI tools distributed to all
stakeholders. In pursuit of pervasive BI, organizations should focus on
the five key factors that can be directly influenced to increase diffusionof BI.
These factors have to do as much with BI and analytics technology as
they do with the related professional services for BI strategy andsolution development, deployment, and maintenance.

A New Hesitant Fuzzy Analytical Hierarchy Process Method
for Decision-making Problems Under Uncertainty
S. M. Mousavi1, Hossein Gitinavard2, Ali Siadat3
1
Shahed University, Iran
2
Iran University of Science and Technology, Iran
3
Arts et Métier Paris Tech, France

Hesitant fuzzy set is a useful and powerful tool for dealing withuncertainty and hesitant situations. This concept helps experts or
decision makers so that they specify their evaluations under a set. In
this paper, we present the hesitant fuzzy sets for the analyticalhierarchy process (AHP) method. For convenience, we call the
proposed method as HF-AHP. In the process of proposed method,decision makers’ evaluations for comparison matrices are expressed bylinguistic variables and then DMs’ judgments are aggregated the byutilizing the hesitant fuzzy geometric operator. Finally, the performanceof the proposed HF-AHP method is illustrated for the selection of themost appropriate bridge construction problem from the recent
literature. Computational results and the comparative analysis
demonstrate that the presented method can be used for multi-levelevaluation process to assist decision makers for better judgment inselecting the best alternative.

Session
Date
Time
Room
ChairsOperations Research III
11/12/2014
09:00 - 10:30
Caymans 1
Konstantinos Kirytopoulos, Shieu-Hong Lin

A New DEA Model for Six Sigma Project Selecting: Case
Study on Esfahan Province Electricity Distribution Co(EPEDC)Ali Yousefi, Amir Reza Aqamohammadi
Esfahan Province Electricity Distribution Company, IranThe first step to reduce the risk of failure in six sigma projects isselecting optimal ones which have the most profits and the least
expected risks. The main objective (question) of the current research isinspecting that if DEA is a suitable technique for selecting six sigma
projects. To meet the objective, we introduce a new DEA (Data
Envelopment Analysis) model to select six sigma projects. Then, we
employ LDA (Linear Discriminant Analysis) to examine results validityof the proposed DEA model. A real application in electricity
distribution industry is demonstrated. Base on Our findings, DEA
ranking is strongly confirmed by LDA technique; hence, DEA is aproper model to select six sigma projects.

Vehicle Routing Problem for Hazardous Materials
Transportation: An Overview.
Khaoula Hamdi1, Nacima Labadie2, Alice Yalaoui2
1
King Saud University, Saudi Arabia
2
University of Technology of Troyes, France

Lately, Vehicle Routing Problems (VRP) related to risk management are
attracting much interest. Providing safe transportation services is
becoming of crucial importance especially in some sensitive fields. In
this paper, a literature review of studies involving VRP in Hazardous
Materials (Hazmat) transportation is addressed.

Electricity System Sustainability Transitions : An Integrated
Methodology
Tarun Sharma, Patil Balachandra
Indian Institute of Science, India

The electricity system transition into a sustainable state depends on
several factors–energy resource and technology choices, economic andenvironmental targets, human and social development needs. To
achieve such a transition, the policy makers need to know how
sustainability of the electricity system is affected by these factors and to
make optimal choices of technology, resource, size, location, etc. There
are synergies and tradeoffs amongst these choices. We first discuss amulti-dimensional and hierarchical framework to assess thesustainability of electricity system. Secondly, we propose an
optimization based modelling framework to integrate the macro modelof national electricity system sustainability with the bottom-up
reference electricity system. This is being done with multi attributetechnology characterization across entire electricity supply chain. We
elaborate how our approach explicitly captures the synergies and thetradeoffs among investment decisions, and can be used to prioritize
optimal technology solutions for electricity system sustainability
transition.

Multi-project Flexible Resource Profiles Project Schedulingwith Ant Colony Optimization
Elena Rokou1, Manos Dermitzakis1, Konstantinos Kirytopoulos2
1
National Technical University of Athens, Greece
2
University of South Australia, Australia

In today's rapidly evolving management world, the scheduling ofmultiple projects where each one's execution depends on another's
successful completion, is of great importance. This paper presents ahybrid meta heuristic algorithm composed of an external Genetic
Algorithm (GA) and an encapsulated Ant Colony Optimization (ACO)
algorithm for the flexible resource constrained multi-project schedulingproblem (MPFRCPSP). The proposed idea is grounded on the conceptof prioritizing the sub-projects' scheduling based on: a) the number ofexternal (to other sub-projects) relations and b) the resource
requirements as compared to the resource shortage for each resource
type and each sub project. The implementation uses the Genetic
Algorithm to deal with the classification and prioritization of the
projects to be scheduled and the inner ACO algorithm, to perform theactivity list optimization for each project. The proposed method wasvalidated using a consistent number of PSP Lib[1] data sets.

An Efficient Solution Framework for a Large Scale Delivery
ProblemSuyan Teng1, Edmund Chan1, Changjun Yang1, Mingyen Yu1, Siow Hwei Tan2
1
Republic Polytechnic, Singapore
2
ST Logistics Pte. Ltd, Singapore

In this paper, we propose a three-stage solution framework to address alarge scale delivery problem consisting of about 1400 delivery points
with an aim to improving delivery efficiency and reducing total
delivery cost. The problem was first decomposed into a number ofsmaller sub-problems through a clustering method based on Binary
Integer Programing (BIP) model. Then delivery routes were formed
within each cluster to reduce delivery cost while satisfying various
constraints. Lastly, due to the feature of the delivery problem, delivery
routes were assigned to vehicles based on a Bin Packing Problem which
again was formulated as a BIP model. Computational results show thatthe prosed framework can provide an efficient and cost effective
delivery plan for the large scale delivery problem.

Second Order-response Surface Model for the AutomatedParameter Tuning Problem
Aldy Gunawan, Hoong Chuin Lau
Singapore Management University, Singapore

Several automated parameter tuning procedures/configurators havebeen proposed in order to find the best parameter setting for a target
algorithm. These configurators can generally be classified intomodel-free and model-based approaches. We introduce a recent
approach which is based on the hybridization of both approaches. It
combines the Design of Experiments (DOE) and Response Surface
Methodology (RSM) with prevailing model-free techniques. DOE ismainly used for determining the importance of parameters. A First
Order-RSM is initially employed to define the promising region for theimportant parameters. A Second Order-RSM is then built toapproximate the center point as well as the final promising ranges ofparameter values. We show how our approach can be embedded withexisting model-free techniques, namely ParamILS and Randomized
Convex Search, to tune target algorithms and demonstrate that our
proposed methodology leads to improvements in terms of the qualityof the solutions compared against the earlier work.

46

Session
Date
Time
Room
ChairsOperations Research IV
11/12/2014
11:00 - 12:30
Caymans 1
Tatsushi Nishi, Sha'ri Mohd Yusof

A Bootstrap Data Envelopment Analysis (BDEA) Approachin Islamic Banking Sector: A Method to Strengthen
Efficiency Measurement
Shahsuzan Zakaria1, Mad Ithnin Salleh2, Shamsuriati Hasan31
Victoria University, Australia
2
Sultan Idris Education University, Malaysia
3
A.Z.E Groups, Malaysia

This study applied the Bootstrapping Data Envelopment Analysis(BDEA) approach to investigate the efficiency level of twelve Islamicbanks in Malaysia. BDEA approach has been employed to resolve theuncertainty issue of traditional DEA measurement practice as well as
small sample problem. The empirical analysis showed that inmeasuring Islamic banks’ efficiency, there is a bias issue that BDEA
approach has been able to trace, thereby providing more accurate andreliable efficiency results. We believe that this approach, not only isimportant for a more precise efficiency measurement but also
compatible with Islamic banking concepts that differ substantially inobjectives and operations from those of conventional banks. In general,
this study has contributed to the efficiency study literature where theissue of accuracy and bias in examining efficiency level is crucial.
Finally, this study also provided specific guidelines for banks to be
more efficient and, therefore, achieves a competitive advantage in thebanking sector.

A Rule-based Heuristic Procedure for the Container
Pre-marshalling Problem
Mohamed Gheith1, Amr B. Eltawil2, Nermine Harraz3
1
Egypt-Japan University of Science and Technology, Egypt
2
Egypt - Japan University of Science and Technology (E-JUST), Egypt
3
Alexandria University, Egypt

In container terminals, containers are stacked in the yard for further
operations; either loading these containers to vessels or trucks. These
containers have different priorities determined by many factors such as
destination container terminal, and the weight of the container, andthey are stacked randomly in the yard configuring an initial layout of abay. If it is required to pick up a target container that is placed beneathto another container, extra movements should be made in order to pickup the target container. The objective of the container pre-marshallingproblem is to convert an initial layout of a bay into final desired layoutthat is compatible with the loading schedule of this bay with minimum
number of container movements. In this paper a rule-based heuristic
procedure method is introduced and experimented against benchmark
instances, and the results show the advantage of this method

Operational Excellence Frameworks - Case Studies andApplicability to SMEs in Singapore

Amrik Singh Bhullar, Chin Wei Gan, Andy Ang, Bin Ma, Roland Lim, Ming
Hon TohSingapore Institute of Manufacturing Technology, Singapore

Singapore is positioning itself as a key operational excellence hub in
Asia for manufacturing in order to compete with other neighbouring
developing countries with advantages such as lower costs ofproduction. Hence, there is clearly a need for an Operational Excellence
Framework for companies in Singapore to be able to assess theircapability level in terms of operations. This paper presents a study ofexisting frameworks such as The Shingo Model, LESAT, CMMI andSQA, analyzing the strengths and weaknesses and concluding with the
key barriers of adoption for Small and Medium Enterprises (SMEs) in
Singapore. Results point to a gap between what is currently available
and what SMEs require, suggesting a need to develop a customized
simple yet effective Operational Excellence Framework and assessment
toolkit specifically for SMEs in Singapore.

47

A Mathematical Model and a GRASP Metaheuristic for a
Faculty-course Assignment Problem for a University in Saudi
ArabiaKhaoula Hamdi
King Saud University, Saudi Arabia

This paper presents a faculty-course assignment problem that concerns
an academic institution is Saudi Arabia. Rich constraints are consideredwhile assigning the teaching load to faculty members as well as otheracademic tasks. Preferences, conflicts, antecedents and special
institution constraints are considered. The overall objective is tomaximize faculty satisfaction and load equity among faculty. A
mathematical model and a GRASP metaheuristic are proposed for the
problem. An application example is provided.

Multi-objective Vehicle Refueling Planning Using Mixed
Integer Programming
Shieu-Hong Lin
Biola University, United States

For point-to-point direct delivery over the transportation network,
timely delivery of commodity and reduction of total fuel cost are both
important objectives to consider. Since fuel prices can vary significantly
over a broad region, often there is a trade off between fuel cost andtravel time. A short path may not be economical in terms of fuel cost
while routing through areas with lower fuel prices may take more time.
In this paper, we address multi-objective refueling optimization
problems in the context of two priority models regarding fuel cost andtravel time. Unlike the shortest path problem, optimal refueling paths
may not be simple paths, which complicates the setup of mixed integer
programs. We first start with arbitrage-free vehicle refueling planningthat restricts refueling paths to simple paths in the network only. We
then show how we can augment the mixed integer formulation forvehicle refueling planning without the arbitrage-free assumption.

Solving the Toll Optimization Problem by a Heuristic
Algorithm Based Upon Sensitivity Analysis
Vyacheslav Kalashnikov1, Nataliya Kalashnykova2, Roberto Carlos
Herrera-Maldonado11
Tecnológico de Monterrey (ITESM), Mexico
2Autonomous University of Nuevo León, Mexico

An important problem concerning the toll roads is the setting ofappropriate costs for driving along paid arcs of a transportation
network. Our paper treats this problem as a bilevel programming
model. At the upper level, decisions are made by a public
regulator/private company that administers the toll roads endeavoring
to elevate their benefits. At the lower level, several transportationcompanies/individual users appease the existing demand fortransportation of goods or passengers while selecting the routes thatwould minimize their total travel costs.
Aiming to find a solution to the bilevel programming problem, a plain
method based on sensitivity analysis is brought forward. In order to“jump” (if necessary) from a local maximum of the upper level objectivefunction to a vicinity of another, the “filled function” move is applied.
The proposed algorithms are genuine and work efficiently enoughwhen employed to solve small- and medium-sized test numericalproblems.

Session
Date
Time
Room
ChairsGlobal Manufacturing & Engineering
11/12/2014
13:30 - 15:00
Caymans 1
Xun Xu, Roger Jiao

Drivers and Barriers in Sustainable Manufacturing
Implementation in Malaysian Manufacturing Firms
Norani Nordin, Hasbullah Ashari, Mohamad Ghozali Hassan
Universiti Utara Malaysia, Malaysia

Sustainable manufacturing practices seek to optimize production
efficiency while minimizing environmental impact. Nowadays, theimplementation of sustainable manufacturing practices in companies
has increased. By implementing sustainable manufacturing practices,
firms can gain better access to international markets; enhance businessprofile, consumer perceptions and corporate reputation and increase
the manufacturing capacity. However, the implementation ofsustainable manufacturing practices is posed to many drivers andbarriers in light of the benefits manufacturing firms stand to gain fromthis initiative. This paper aims to investigate the drivers and barriers ofsustainable manufacturing implementation in Malaysia. In this study,
data were collected by using a self-administered questionnaires. The
result shows that the increment in the overall cost of implementation isregarded as the main barrier to implementing sustainable
manufacturing practices while environmental regulation and top
management commitment are regarded as the main drivers. This
research has been able to highlight the important barriers and drivers of
implementing sustainable manufacturing practices through which
industries can improve the manufacturing practices to offset thenegativity on the environment.

Choose Whom to Date Wisely: Explaining the Performance
Variation in Strategic Alliances
Mait Rungi, Valeria Stulova
Tallinn University of Technology, Estonia

In the current dynamic and fast-paced business environment, it is
impossible to be successful alone. Companies form strategic alliances topool resources and join endeavors. However, partner choice is a crucial
determinant of alliance success. This paper explores the role of alliancecharacteristics, absorptive capacity and environmental turbulence on
three distinct facets of innovative performance within alliances. The
results demonstrate that the most beneficial collaboration structure is
the one involving partners from different activities and also countries.
The results of an alliance are further enhanced by continuous
development mindset of alliance partners as well as are boosted byenvironmental dynamism.

Application of Lean Manufacturing in Mass Production
System: A Case Study in Indian Manufacturing Unit

Mahadevan Kishore Kumar, A. John Rajan, R. Kaja Bantha Navas, S. Sahaya
Rubinson
Sathyabama University, India

In the present competitive and challenging market, industries need to
improve their performance by concentrating on their manufacturing
processes. Lean manufacturing is one of the most powerfulmanufacturing control systems backed by several tools for improving
quality, productivity and profitability, for eliminating waste and for
improving process flow. Lean manufacturing can also help inenvironmental pollution control, cutting down the product cost,
reducing physical effort and minimizing product manufacturing time.
This paper illustrates the application of lean manufacturing to minimize
the setup time, cycle time of a reputed manufacturing industry in India.
A detailed description of each step of the process is given and is
illustrated the results from a case study undertaken during the research.
This article focuses on lean manufacturing tools like value stream
mapping, method study, and its implementation. It will decrease thecurrent lead time by fifty percent. It also proposes and comes out withmeasures to improve current operations within the company.

Simultaneous Configuration of Product Families and Supply
Chains for Mass Customization Using Leader-follower Game
TheoryDong Yang1, Roger J. Jiao2
1
Donghua University, China
2
Georgia Institute of Technology, United States

With the manufacturer with mass customization paradigm extending
its scope into global manufacturing network, module-based productfamily configuration and supply chain design should be
simultaneously considered. This paper formulates joint optimization of
product family and supply chain configuration as a leader-flower
Stackelberg game. Product family configuration is modeled as a upper
level problem (leader) with the selections of product variants, modules
and module instances as decision factors, while the supply chain, as alower level problem (follower), determines the configuration of supply
chain networks in terms of the decisions from the upper level. A
nonlinear, mixed integer programming model is built for the bi-leveljoint optimization. The genetic algorithm is developed to solve theleader-follower bi-level game. A case study of a power transformer
product family is reported to demonstrate the effectiveness of the
proposed method.

Smart Factories in Industry 4.0: A Review of the Concept andof Energy Management Approached in Production Based on
the Internet of Things Paradigm
Fadi Shrouf1, Joaquin Ordieres2, Giovanni Miragliotta1
1
Politecnico di Milano, Italy
2
Universidad Politécnica de Madrid, Spain

The real and the virtual worlds are growing speedily and closely toform the Internet of Things (IoT). In fact, IoT has stimulated thefactories and the governments to launch an evolutionary journey
toward the fourth industrial revolution called Industry 4.0. Industrial
production of the new era will be highly flexible in production volume
and customization, extensive integration between customers,companies, and suppliers, and above all sustainable. Reviewing andanalyzing the current initiatives and related studies of the smart
factories/Industry 4.0, this paper presents a reference architecture for
IoT-based smart factories, defines the main characteristics of suchfactories with a focus on the sustainability perspectives. And then it
proposes an approach for energy management in smart factories basedon the IoT paradigm: a guideline and expected benefits are discussed
and presented.

48

Session
Date
Time
Room
ChairsOperations Research V
11/12/2014
15:30 - 17:00
Caymans 1
Vyacheslav Kalashnikov, Stefan Creemers

Management of the Care Activities in Home Health Care
Services: the Routing and Scheduling of Caregivers Level
Rabeh Redjem1, Eric Marcon2, Xiaolan XIE3
1
Paris 8 University, France
2
Saint Etienne University, France
3
Ecole des mines de Saint Etienne, France

The Home Care Services (HCS) provide continuous and coordinatedhealth cares at the patient’s home. This paper addresses the problem ofrouting and scheduling of caregivers of a HCS under precedence andcoordination constraints. Indeed, each patient may be visited many
caregivers per day. Each visit is provided by a different caregiver.
Moreover, visits should not be performed simultaneously andsometimes in a pre-defined order. Two mixed integer programming(MILP) models are proposed, based respectively on TSP (Traveling
Salesman Problem) and RCPSP (Resources Constrained Project
Scheduling Problem). Numerical results allow, in one side to define theaxes of complexity for this problem. In another side, the results allow us
to define the context of efficiency of each model.

Optimal Cost Drivers in Activity Based Costing Based on
Artificial Neural Network

Noppadol Amdee1, Kawin Sonthipermpoon2, Thongchai Arunchai3,
Phanboonmee Warawut4
1
Muban Chombueng Rajabhat University, Thailand
2
Naresuan University, Thailand
3
Rajamangala University of Technology Suvarnabhumi, Thailand
4
UK Engineering & Supply Co.,Ltd., Thailand

This study focuses on the development of Activity Based Costing (ABC)system by using optimal cost drivers (OCD) for the Thai automotive
parts industry. Recently, traditional cost accounting (TCA) has beenused to calculate production costs. However, the difficulty of TCA
appears in the indirect or overhead costs which can be considered as a
distortion production cost. Although the factory used the ABC system,
inappropriate methods were utilized in order to solve this problem. The
selected cost driver may not be the only factor affecting production
costs. However, it was found that using OCD in ABC calculation
resulted in more accurate production costs. The estimated production
cost using artificial neural networks (ANNs) as a tool for identifying
optimal production costs, because this method is effective for resolving
both linear and non-linear problems. ANNs are designed and tested toestimate production costs by using the input and output data in theactivities and production costs, and utilize a multi-layered feed forward
and a back-propagation. The testing results of the production cost andthe estimated cost for product A were applied to ABC by OCD in
December, 2013. The production cost, estimated cost and mean squareerror (MSE) are equal to 47.337, 47.282 Thai baht, and 0.000036017,
respectively.

Icing and Performance of Offshore Production Facilities inCold Climate Region
Rezgar Zaki, Abbas Barabadi
The University of Tromsø - The Arctic University of Norway, Norway

Ice accretion affect performability of offshore production facilities invarious ways, including repair time and failure rate. Moreover, it canincrease the power losses, life cycle costs and safety hazards. There arefew studies and systematically collected information about the impactof ice accretion on performability and its concepts (reliability,
maintainability, quality, safety and sustainability) for Arctic offshore
production facilities. This paper will discuss the effects of different
types of ice accretion on the performability of Arctic offshore
production facilities. Then, to quantify their effect on the production
facilities´ performability, an icing performability index is developed.

Petri Net Representation for 0-1 Integer Programming
Problems
Akito Kodama, Tatsushi Nishi
Osaka University, Japan

Petri net is a mathematical modeling tool that represents wide variety of
discrete event systems. Given an initial marking and final marking for a
Petri net, an optimal firing sequence problem is defined as the problem
to find an optimal transition sequence to minimize the objectivefunction. For the purpose of analysis of 0-1 integer programming
problems, we propose a general algorithm to convert general 0-1 integer
programming problem into an optimal firing sequence problem of Petrinet. By utilizing the proposed algorithm, general 0-1 integer

49

programming problems can be visualized and analyzed by Petri net
theory. The property of solutions derived by solving the original 0-1
integer programming and the optimal firing sequence problem is
discussed. The solution of 0-1 integer programming problem and thatof the optimal firing sequence problem of Petri net are compared. The
results show that the solutions for both problems are identical for
traveling salesman problem and vehicle routing problems.

Algorithms for the Min-max Regret Generalized Assignment
Problem with Interval Data
Wei Wu1, Manuel Iori2, Silvano Martello3, Mutsunori Yagiura1
1
Nagoya University, Japan
2
University of Modena and Reggio Emilia, Italy
3
University of Bologna, Italy

Many real life optimization problems do not have accurate estimates ofthe problem parameters at the optimization phase. For this reason, themin-max regret criteria are widely used to obtain robust solutions. In
this paper we consider the generalized assignment problem (GAP) withmin-max regret criterion under interval costs. We show that thedecision version of this problem is $\Sigma^{p}_2$-complete. We
present two heuristic methods: a fixed-scenario approach and a dual
substitution algorithm. For the fixed-scenario approach, we show thatsolving the classical GAP under a median-cost scenario leads to asolution of the min-max regret GAP whose objective function value is
within twice the optimal value. We also propose exact algorithms,
including a Benders' decomposition approach and branch-and-cut
methods which incorporate various methodologies, including
Lagrangian relaxation and variable fixing. The resulting
Lagrangian-based branch-and-cut algorithm performs satisfactorily onbenchmark instances.

Network Optimization for Capturing and Transporting CO2
Ho-Yoeng Yun1, Lianxi Bai1, Kyung-Sup Kim1, Suk-Jae Jeong2
1
Yonsei University, South Korea
2
Kwangwoon University, South Korea

For solving the problem of climate change caused by greenhouse gases,
researches and measures of reducing greenhouse gass emissions havebeen proposed widely around the world. Reduing CO2-the mostprominent grrenhouse gas contributing to global warming, is the major
project for each country. CCS, the major mean to avoid the CO2
emission from using of fossil fuels, is an effective thechnology that
captures CO2 and transports it to an sequestration isolate CO2 from theatmosphere. According to the active CCS projects in progresses, typical
CCS pipline transportation network is that transport the captured CO2
from CO2 sources to sequestration directly, which has disadvantage intrems of cost affect. Therefore, in our search, we proposed a new CCS
pipeline network that by adding CO2 storage site, generates
sources-CO2 storage site-sequestration network using Harmony Search
Algorithm to find the optimal solution. A real-life case study in South
Korea with 22 emissions cources and three sequeatrations is provided.

Laboratory Measurement: Chlorophyll-a Concentration
Measurement with Acetone Method Using
Spectrophotometer

Fairooz Johan, Mohd Zubir Mat Jafri, Hwee San Lim, Wan Maznah Wan
Omar
Universiti Sains Malaysia, Malaysia

Chlorophyll-a is an important factor in photosynthesis of microalgae.
The concentration of chlorophyll-a in microalgae can be used to analyseand investigate the density and biomass of microalgae in the ecosystem.
This is because microalgae are primary producer in the food web in
freshwater and ocean. Thus, an accurate estimate of chlorophyll-aconcentration in microalgae is very significant. In this study, thesamples of microalgae were collected from Tasik Harapan and Tasik
Aman, USM Penang, Malaysia. The samples were tested using 90%
acetone method by using spectrophotometer (model HITACHI U-1900)
to record the absorbance values with selected wavelengths namely 750
nm, 664 nm, 647 nm, and 630 nm The results showed that thechlorophyll-a concentration in microalgae increased when theabsorbance was increased. The chlorophyll-a concentration in
microalgae depended on several factors such as amount of sunlightavailable, total phosphorus (TP), water flow, light, catchment area,
water depth, weather, and other physical factors. This study
determined the value of chlorophyll-a concentration in microalgae
collected from Tasik Harapan and Tasik Aman, USM Penang. The
highest and the lowest chlorophyll-a concentration were recorded inthis study. The spectrophotometer with 90% acetone method
successfully determined the maximum and minimum sensitivity ofchlorophyll-a concentration within the wavelengths tested.

Session
Date
Time
Room
Chairs

Quality Control & Management IV
11/12/2014
09:00 - 10:30
Caymans 2
David Tchoffa, Diego Tlapa

Comparative Analysis of Taguchi's Crossed Array Approachvs Combined Array Approach to Robust Parameter Design: A
Study Based on Apparel Industry
Pramila Gamage1, Nihal Jayamaha1, Nigel Grigg1, Manjula Nanayakkara2
1
Massey University, New Zealand2
University of Peradeniya, Sri Lanka

This research compares Taguchi's crossed array approach with the
combined array approach (an alternative proposed by statisticians)
using an experiment designed to optimize the sewing conditions tominimize the variability of a high end women's garment. The optimum
settings given by the two approaches were similar, although the
combined array approach provided more information about the processwith a slightly better parameter setting. The findings imply that thebenefit an apparel organization gets in conducting a statisticallysophisticated analysis needs to be carefully weighed against thestatistical simplicity Taguchi's crossed array approach offers in robust
parameter designs.

Total Quality Management in Product Life Cycle

Dinh Son Nguyen
Danang University of Science and Technology, The University of Danang, Viet Nam

Today, the development of science and information technology
supports engineering product designer to solve the more and more
complex and difficult requirements of clients for product. The quality
assurance of designed product during its life cycle plays a very
important role in the context of global and concurrent economy. Manydifferent parts of the final product are manufactured from raw material,different places and manufacturing processes. The designed productruns the risk of being unsatisfactory to requirements of clients. Thus,
this paper proposes a method that allows managing the quality of
product during its life cycle at design stage.

Fuzzy Mean and Range Control Charts for Monitoring Fuzzy
Quality Characteristics: A Case Study in Food Industries
Using Chicken Nugget
S. Mojtaba Zabihinpour, M. K. A. Ariffin, S. H. Tang, A. S. Azfanizam, Omid
Boyer
Universiti Putra Malaysia, Malaysia

Organizations must improve or at least maintain the quality of theirproducts to be competitive in today's market. Thus, developing a new
approach which could utilize more information from the production
process has become an inevitable quality improvement program foreach organization. In current study, a fuzzy mean and range control
charts were developed to monitor the production process. Fuzzy
control charts could handle the uncertainty due to vagueness,
ambiguity and/or incomplete information in addition to the inherent
uncertainty due to randomness in quality characteristic measurements.
The proposed fuzzy control charts were validated through a case study
at the chicken nugget production company by collecting data from thefactory floor and comparing it to the traditional Shewhart control charts
which have been already applied by the factory for monitoring theprocess. The results reveal that the proposed fuzzy control charts could
detect abnormal shifts in the production process more accurately than
the traditional Shewhart control charts, as they had used more
information from the process. The proposed approach has several
benefits for the company by improving the quality and increasing the
productivity.

One Hotelling T2 Chart Based on Transformed Data for
Simultaneous Monitoring the Frequency and Magnitude of
an Event
Yuan Cheng1, Amitava Mukherjee2
1
City University of Hong Kong, Hong Kong SAR
2
Indian Institute of Management Udaipur, India

Commonly, the event frequency and event magnitude have thedependence feature. However, previous research about event
monitoring always assume they are independent variables. This
assumption is not reasonable in most real applications. Taken thedependence feature into consideration, we introduce a typical bivariate
gamma distribution with certain dependence structure. Based on this
distribution, a kind of Hotelling's T2 chart based on the transformed
data is constructed for jointly monitoring of the shifts in the frequency
and the magnitude of an event. An illustrative example based on a real
data is provided to show the implementation of this chart. With Monte
Carlo simulation, the performance of this proposed chart is studied.

Quality Operating of Information Systems and Service Level
Agreement

David Tchoffa1, El Mouloudi Dafaoui1, Abderrahman Elmhamedi1, Luminita
Duta2
1
Paris 8 University, France
2
Valahia University, Romania

ISO 9126 defines the quality of software features and sub features, andpresents itself as a model of international consensus. There are two
features of computer applications in operations that deserve ourattention: the availability and the response time. In our research, we
limit ourselves to the unavailability. The purpose of this paper is toshow that, to better manage the unavailability of an Information System,
one must implement a Service Level Agreement (SLA) with a goodsystem of measurement of Performance Indicators. A good definition of
performance indicators is needed and a good method of measurement
also. The control of unavailability depends on the method used forstatistical process. It seems to be the cheaper and easiest way to stabilize
the system and to obtain a lasting satisfaction of the end customer.

Drilling Waste Minimization in the Barents Sea

Rezgar Zaki, Abbas Barabadi
The University of Tromsø - The Arctic University of Norway, Norway

With the increasing demand for energy over recent decades, Arctic
region has become an interesting area for future exploration anddevelopment. The Arctic region has a harsh and sensitive environment
at a remote location. Hence, effective handling and management ofwastes is becoming essential to ensure fulfillment of health, safety,
environmental, and quality requirements in the Barents Sea. In thispaper the available technologies and methods which can be used tominimize the drilling waste will be reviewed.

50

Session
Date
Time
Room
ChairsService Innovation & Management II
11/12/2014
11:00 - 12:30
Caymans 2
Carman Ka Man Lee, Ahmed Abdelgawad

Influence of Task Characteristics on Team Performance
Philipp M. Przybysz, Sönke Duckwitz, Christopher M. Schlick
RWTH Aachen University, Germany

Although many models of team performance acknowledge theimportance of task characteristics and their effects on team outcome,task characteristics have often been neglected in empirical research.
Instead, the focus has been on variables regarding internal teamprocesses such as coherence, motivation or coordination and teamcomposition variables. In this paper the effects of task characteristics
and team characteristics on team outcome are evaluated empirically. A
total of 21 teams participated in a laboratory experiment. Teams were
designed as either age homogeneous or age heterogeneous groups
while task characteristics were accounted for by requirements. Task
requirements differed according to diverse needs within stages of theinnovation process. This was implemented using two tasks which areapproximations of the different challenges within an innovation process.
The results show that both, task characteristics and team composition,
have significant effects on the outcome of team performance. The
evaluation allows an analysis of the impact of team and task factors onservice productivity across the whole chain of value creation e.g. within
a complex engineering service setting.

Multi-screen Services Adoption and Use-diffusion: The
BEST Model Perspective

Hung Chih Lai, Yao Cheng Yu, Yi-Min Tuan, Hui Shan Kuo
iNSIGHT Center, National Taiwan University, Taiwan

The second screen or the multi screen is a hot issue in media andtelecom industry, but using it is a new use behavior to the audience sothat those incumbent TV companies still don't know how to hold thistech/service. The Second screen or multi screen is also called over the
top (OTT) service threatening the present TV ecosystem. Following
last-year academia-industry cooperation to deepen researchmethodology- the BEST model, the research has been trying to dig how
users adopt the multi-screen service through persona, TAM3 andUse-Diffusion this year. It's the first time that qualitative andquantitative methods are putted into the BEST model, and we expect
these findings will help telcos and other companies related themulti-screen service know what the keys of adoption are and how togrow up the market.

Effects of the Electromobility on Rescue Service Provisions
Francoise Meyer, Alexander Rannacher, Sönke Duckwitz
RWTH Aachen University, Germany

Nowadays, in Germany, persons being involved in an accident can relyon quick and effective help by rescue service providers. In the future
more and more electric vehicles will take part in road traffic. In case ofan accident these vehicles pose new challenges on rescue services, forexample due to damaged lithium-ion batteries. In this paper a
cross-institutional process model, which maps a representative rescue
service provision, is compiled using the modeling language C3. Thismodel forms the basis for the derivation of the new requirements due toelectromobility. Initial needs of adjustments are identified.

51

TRIZ Based Approach to Improve Public Bus Service Quality
Christina Wirawan, Astrid Ayu
Maranatha Christian University, Indonesia

Theory of Inventive Problem Solving (TRIZ) is a method that support
innovative and creative solution in designing product. This research try
to combine TRIZ with SERVQUAL, Kano, Fault Tree Analysis (FTA)and Failure Mode Effect Analysis (FMEA) to find systematic innovativeand creative improvement for service quality in service industry. TRIZ
used to solve contradictions occur in service quality improvement
identified by FTA and FMEA. As case study, DAMRI is taken. PerumDAMRI is public bus transportation company in Bandung managed byIndonesian Government as Badan Usaha Milik Negara (BUMN)DAMRI charge relatively cheap cost, but have no good image becauseof poor service quality. Earlier research have been done by Ayu toidentify factors to improve service quality using SERVQUAL
measurement, Kano, FTA and FMEA. It’s found that there are several
poor service quality causes that must be improved, neverthelessseveral attributes contradict each other that troublesome improvement
effort.

Design and Development Waste Management System inHong Kong
Carman Ka Man Lee, Trevor Wu
The Hong Kong Polytechnic University, Hong Kong SAR

Effective waste management is crucial for a metropolitan like Hong
Kong and the latest technology such as RFID and data mining
technique can help to provide a sustainable waste management byanalyzing the waste disposal habit. In order to have an integrated
information system, the purpose of this paper is to adopt NFC andcloud computing technology to develop a web-based system andmobile app for supporting waste management. A prototype systemwith ubiquitous technology is being designed and a pilot test of the
RFID-based waste management system was launched in Homantin
Student Hall of The Hong Kong Polytechnic University and the results
showed that this RFID-based waste management system improved therecycling rate. The significance of the paper is to provide a novel
approach by incorporating RFID and mobile app technology for waste
management and it can arouse the public awareness about theimportance of waste sorting for recycling and waste minimization.

Maximizing Service Value: A Case Study of Online Hotel
Reservation
Napaporn Rianthong1, Aussadavut Dumrongsiri1, Youji Kohda2
1
Thammasat University, Thailand
2
Japan Advanced Institute of Science and Technology, Japan

This research studies the customer behavior in an online hotel
reservation in which a hotel differentiates the same room service withdifferent sale conditions: (i) Restriction Condition, (ii) Mild Condition,(iii) Last Minute Condition. Customers face uncertainty about their plan,and they are charged with cancellation fee. Customer utility isdeveloped and demand function is derived. Then, the optimal prices fordifferent conditions are determined to maximize hotel profit, andachieve customer saving. From numerical experiment, offering threesale conditions, hotel could increase profit 7.6 % compared withoffering the restriction and last minute conditions, and 6.6% comparedwith offering the mild and last minute conditions. Three sale conditions
could generate an average customer value of 40.26% compared withoffering the mild and last minute conditions. In addition, customer
saving when cancel the reservation of 34.49% could be reached whencompared with the restriction and last minute conditions.

Session
Date
Time
Room
Chairs

Quality Control & Management II
11/12/2014
13:30 - 15:00
Caymans 2
Dinh Son Nguyen, Sofiene Dellagi

Driving 'Soft' Factors for Sustaining Quality Excellence:
Perceptions from Quality Managers
Mehran Doulatabadi, Sha'ri Mohd Yusof
Universiti Teknologi Malaysia, Malaysia

Organisations which achieve high levels of performance against quality
and business excellence award criteria still face challenges in sustaining
their efforts. This paper has therefore set out to identify and analyze thedriving ‘soft’ factors affecting sustaining quality excellence within the
United Arab Emirates business environment. The paper uses survey
data from 138 Dubai Quality Award recipient companies engaged in
manufacturing and services industry and sector in the UAE. The
managing directors, quality directors and managers representing at theeach organization made the unit of analysis of the study. Eight ‘soft’dimensions were found as critical factors for the sustainability ofquality excellence. The results of this paper can be used by managers toprioritize the implementation of the ‘soft’ factors for long-termsustainability towards higher quality levels.

Robust On-line Monitoring for Univariate Processes Basedon Two Sample Goodness-of-fit Test
Chen Zhang, Nan Chen
National University of Singapore, Singapore

On-line monitoring of quality variables and data streams raises
attention in fields of quality management and statistical process control.
Though much work has been dedicated on it in the literature, somechallenges associated with designing distribution-free on-line control
schemes are yet to be addressed well. This paper proposes a new
distribution-free control chart for detecting both mean shifts andvariance shifts in a univariate process based on non parametric two
sample goodness-of-fit test. It also integrates the self-starting feature byusing data-dependent control limits set on-line instead ofpredetermined limits. Simulation study shows that the chart has
satisfactory in control run length performance given desired ARL androbust detection capability for general out-of-control changes, and is
especially useful in short-run processes or start-up stages.

Critical Success Factors of Six Sigma: An Overview

Diego Tlapa1, Jorge Limon1, Yolanda Báez1, Delia Valles-Rosales2
1
Autonomous University of Baja California, Mexico
2
New Mexico State University, United States

Main objectives of this work are to describe the current situation offactors that contribute to achieve a successful implementation of six
sigma methodology and also pretends to increase their understanding.
It integrates lessons learned from successful projects and considers
additional progress to the approach, through an extended literature
review. Two periods of time were analyzed using odds ratio, and ameta-analytic summary was conducted to study 17 factors reported in
234 studies from different countries to provide a comprehensive
investigation with emphasis on establishing the evolution of six sigma.
Main findings support the notion that Critical Success Factors reported
in the literature are changing their frequency of use in the recent years.
Top Management involvement and commitment remains as the mostimportant CSF whereas Project selection and prioritization seems todecrease its presence nowadays.

Human Values for Implementation of Total Quality
Management: Proposed Conceptual Framework of an
Automated Tool
Muhammad Noman Malik, Sha'ri Mohd Yusof
Universiti Teknologi Malaysia, Malaysia

In this paper, we present the conceptual framework of human values
identification and assessment for total quality management (TQM)
implementation. Human values are the guiding force and critical to
explore for TQM implementation and their importance have long
intrigued researchers. However, literature lacks any direction forrequired human values identification and assessment for TQM
implementation resulting in challenges for quality and HR managers to
implement TQM effectively. A conceptual framework of an automatedtool, its applicability and automation potential for human values
identification and assessment is proposed here. Future research will
utilize the outcome of this study towards development of an automatedsoftware tool.

Factors that Impact Project Quality at a Nuclear Power Plant
in South Africa
Stanley Fore, W. Galetta
Cape Peninsula University of Technology, South Africa

The nuclear industry has established stringent controls to ensure thatelectricity is produced in a safe and reliable manner and as such, it isexpected that a nuclear power plant is operated safely, adheres tonuclear codes and standards, specifications, processes and procedures
and implements projects and modifications of a high quality indicating
a successfully operated plant. Project quality is one aspect for which
trade-offs are constantly made making adherence a continuing concernthat can have far reaching consequences. This paper addresses thefactors that impact project quality at the Koeberg Nuclear Power Station
in South Africa. The paper focuses on plant modifications, interactionsof numerous stakeholders, processed and procedures and demonstrates
how the said factors impact on project quality. Since the plant is ageing,
modifications have become more complex hence all factors discussed in
the paper need to be considered when implementing quality projects
and modifications on the plant.

Improving Overall Equipment Effectiveness (OEE) Throughthe Six Sigma Methodology in a Semiconductor Firm: 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

In today’s turbulent and competitive business environment, manyorganizations are forced to implement various productivity
improvement programs in order to continue to survive. One of themany approaches to improve production performance is to develop
and implement total productive maintenance. Total productive
maintenance (TPM) is a world-class manufacturing strategy whichleading manufacturing near to ideal condition with zero down time,
zero defect, lean production, just-in-time production (JIT) andcompetitive cost leader in order to gain competitive advantage. The
most common metric utilized by management to gauge theeffectiveness and successful implementation of TPM is Overall
Equipment Effectiveness (OEE). OEE is a powerful key performanceindicator focusing on equipment availability, performance efficiency
and quality rate. This paper discussed on the use of the DMAIC
approach to systematically Define, Measure, Analyze, Improve andControl the equipment performance. The purpose of this paper is to
discuss and highlight the adoption of the six-sigma methodology to
mitigate the bottleneck process which focuses mainly on the current
OEE performance.

52Session
Date
Time
Room
Chairs

Quality Control & Management III
11/12/2014
15:30 - 17:00
Caymans 2
Pei-Lee Teh, Kuan Eng Chong

Optimal Integrated Maintenance Policy Based on Quality
Deterioration
Meriem Kouki1, Sofiene Dellagi1, Zied Achour1, Walid Erray2
1
University of Lorraine, France
2
ArcelorMittal Maizières Research SA, France

It’s obvious that any manufacturing system is undergoing increasing
deterioration owing to usage, age and stochastic failures. Frequently,
this deterioration results in the product quality degradation and henceentails a significant nonconforming cost “NCC” as well as amaintenance cost. This paper investigates the relationship between
maintenance and quality by developing an economic strategy joining
simultaneously maintenance and quality aspects. We consider a single
machine subject to random failure and producing a progressive
deteriorated product according to the failure rate evolution. A
preventive maintenance strategy with minimal repair is applied inorder to reduce the expected total cost per unit time including
simultaneously maintenance cost and “NCC”. We note that the key ofour study consists of optimizing the maintenance strategy withconsidering the deteriorated product degree by determining the
optimal number of batches produced before undertaking a preventive
maintenance action.

A Study on the Optimization of Wafer Pre-treatment
Conditions for Thin Film Stability Monitor

Taicheng Kevin Gong, Yanju Lisa Yu, Yan Kaily Cao, Xueliang Ruben Zhang,
Kaiyuan Kevin Chang, Weiting Kary Chien
Semiconductor Manufacturing International Corporation, China

In this paper, an effective baking methodology to remove thin film
stability monitor wafer surface contamination is reported. We consider
baking temperature, baking time, and time interval between baking andmeasurement as three key factors for methodology optimization study.
A long-time and durative experiment is designed for the obtaining of asuitable and feasible baking condition, in which design of experiment(DOE) is applied for the data analysis and the study of baking effect onwafer thickness change. From DOE analysis, we finally take the baking
condition of 140/ 60/210 as the optimal pre-treatment condition tomonitor the stability of thickness metrology tools.

Monitoring Correlation Structures Stability in Foreign
Exchange Market
Siew Lee Gan1, Maman Abdurachman Djauhari2, Zuhaimy Ismail1
1
Universiti Teknologi Malaysia, Malaysia
2
Universitas Pasundan, Indonesia

In this paper, we analyzed the dynamics of correlation structure inforeign exchange market from year 2000 until year 2012. The time
windows are yearly basic. The yearly time windows under study are
non-overlapping. To monitor the correlation structures stability inforeign exchange market, the correction statistic of term on
Jennrichâ€™s statistic is used. The dynamics of correlation structures isshowed in the form of control chart. The graph showed that thecorrelation structures of particular time windows are far different fromthe pooled correlation structure, especially during the US sub-prime
crisis 2007. The results are complied with the real situation of financial
markets. To identify the root causes of certain time windows, weemployed the minimal spanning tree (MST).

53

Control of pH Neutralization System Using Nonlinear Model
Predictive Control with I-controller
Ayman Hermansson1, S Syafiie2
1
SEGi University, Malaysia
2
Universiti Putra Malaysia, Malaysia

In the process industry controlling the pH is considered to be one of thetoughest tasks among the most commonly controlled variables. This isdue to the nonlinear behavior of the pH and the time dependence of thenon linearity, requiring an advanced controller. In this paper amulti-model nonlinear model predictive control (MMNMPC) scheme isapplied to describe and handle the non linearities, were themulti-model description gives a piece wise linear description enabling asimple and swift computation of control moves. MPC implementation
requires the knowledge, through measurement or by estimation, of thestates of the neutralization system, both creating various problems.
Here problem is addressed by including integral action in the controller
to compensate for the unmeasured states. The MMNMPC combinedwith integral action is tested by simulation of a pH system in Matlab
and the control structures were applied in Matlab/YALMIP showing
good control performance.

An Efficient Discrete Particle Swarm Optimization for
Solving Multi-mode Resource-constrained Project
Scheduling Problems
Jianshuang Cui, Liruoyang Yu
University of Science and Technology Beijing, China

Particle swarm optimization (PSO) algorithm was originally developedand extensively used for solving multivariable and highly nonlinear
continuous problems. To apply PSO to a discrete integer-coded problem
such as the multimode resource constrained project schedulingproblems (MRCPSP), there should have a special mechanism that canconvert the real valued solutions to the integer-coded solutions without
crucial impact on the exploitative abilities of the algorithm. In this paper,
we focus on this problem and develop an efficient PSO algorithm tosolve the MRCPSP. Computational results by using a standard set ofbenchmarkinstancesdemonstratetheeffectivenessandcompetitiveness of our algorithm.

Reliability Analysis Based on Three-dimensional Stochastic
Differential Equation for Big Data on Cloud Computing
Yoshinobu Tamura1, Kenta Miyaoka2, Shigeru Yamada2
1
Yamaguchi University, Japan2
Tottori University, JapanThe big data and cloud computing are attracting attention as a network
service to share the computing resources such as networks, servers,
storage, applications, and services. Also, many open source softwareare used in various software development because of the low cost, quick
delivery, and standardization. In order to consider the interesting aspectof the big data and network traffic, a new approach to software
reliability assessment based on three dimensional stochastic differential
equation model is presented in this paper. Also, this paper analyzes
actual data to show numerical examples of software reliability
assessment considering such characteristics of big data on cloudcomputing. Moreover, performance examples of the proposed modelfor the big data on cloud computing are shown. Then, the performanceof our model in terms of the big data, network traffic, and software fault
is discussed in this paper.

Session
Date
Time
Room
ChairsSupply Chain Management II
11/12/2014
09:00 - 10:30
Caymans 3
Nunzia Carbonara, Egon Mueller

Sourcing Decision with Correlated Supplier Disruption: An
MV Framework
Pritee Ray, Mamata Jenamani
Indian Institute of Technology Kharagpur, India

This paper investigates the sourcing strategy of a buyer who faces
demand uncertainty, as well as supply disruption. Under disruption, abankruptcy at one supplier may cause collapse of other suppliers.
Hence, it is important to highlight the modeling of co dependence
between two or more risky suppliers. If location of the suppliers is in
the same geographic proximity, then one natural disaster can affect all
the suppliers in that region. Therefore, it is important to consider the
impact of supplier disruption correlation for deciding the sourcing
strategy. In this context, we use Markowitz’s mean-variance (MV)framework to develop an MV formulation. We illustrate the case of
perfectly positive and negative correlated suppliers, their order
quantity and MV objective through numerical study. The result showsthat the buyer should allocate the order to negatively correlated
supplier to maximize the MV objective.

A Brief Review on Information Sharing within Supply
ChainsFarnoush Farajpour, Mohammad Taghi Taghavifard
Allameh Tabataba'i University, Iran

Synchronizing all activities between different tiers of supply chain is an
important and influencing function in supply chain management.
Information sharing is a critical means in this regard. Information
sharing is not just a concept but could be considered as a computable
construct which helps to improve supply chain performance. This
paper reviews information sharing within supply chain management
literature. Based on the reviewed papers, the literature is categorized
into four main classes: “information sharing and supply chain
performance”, “critical parameters in information sharing”,“information sharing models” and “information sharing evaluation
models”. At the conclusion some gaps observed in the literature are
discussed and suggestions for future researches are presented.

Ant Colony Optimization for One-to-Many Network
Inventory Routing Problem
Lily Wong, Noor Hasnah Moin
University of Malaya, Malaysia

The integration of inventory and routing is a very important aspect of
supply chain management. In this paper, we present a one-to-many
inventory routing problem (IRP) network consisting of a manufacturer
that produces multi products to be transported to many geographicallydispersed customers. We consider a finite horizon where a fleet of
capacitated homogeneous vehicles, housed at a depot/warehouse,transports products from the warehouse to meet the demand specified
by the customers in each period. The demand for each product isdeterministic and time varying and each customer requests a distinct
product. The inventory holding cost is product specific and is incurredat the customer sites. The objective is to determine the amount oninventory and to construct a delivery schedule that minimizes both thetotal transportation and inventory holding cost while ensuring eachcustomer's demand is met over the planning horizon. The problem isformulated as a mixed integer programming problem and is solved
using CPLEX to get the lower bound and upper bound (the best integer
solution) for each problem considered. We propose a modified ant
colony optimization (ACO) by subdividing the ants into subpopulation
where each subpopulation consists of different set of inventory level.
The routes are improved by using local search. The algorithm performs
better on large instances compared to the upper bound and performs
equally well for small and medium instances.

Analysis of Quantity Discounts for Multi-period Production
Planning for Single Supplier and Retailer Under Uncertain
Demands
Okihiro Yoshida1, Tatsushi Nishi1, Guoqing Zhang2
1
Osaka University, Japan
2
University of Windsor, Canada

Global supply chain management has an important role for
globalization of marketplaces and global production. The production
and distribution planning for suppliers and retailers with different
objectives should be coordinated to optimize the total costs. However, it
is well-known that the equilibrium solution for decentralized decision
making is inferior to the solution of centralized problem. This study
focuses on analysis of quantity discounts for multi-period production
planning for single supplier and retailer under uncertain demands. A
Stackelberg equilibrium is analytically derived between single supplierand single retailer where supplier is a leader and retailer is a follower.
An optimal discount contract is derived through the optimal solution of
the centralized problem.

The Cluster Policies to Nation Competitiveness Based on
Business Ecosystem Perspective - Case Study of Taiwanese
Smart Phone Industry
Yan-Ru Li
Aletheia University, Taiwan

Clusters can be defined as regional concentrations of specializedcompanies and institutions connected through multiple physical andsocial linkages. The challenge is that there are consistently moreinnovations needing multiple specialized companies across nationalboundaries in order to continue new product development. The linkage
of inter-companies has shifted by the new paradigm of ICT. At the sametime, the new paradigm of business strategy changes frominside-to-outside to outside-to-inside. As such, this may influencecurrent cluster policy. This study explores phenomena concerning the
Taiwanese smart phone industry and geographical cluster issues. We
find innovation makes it harder to define the industry cluster. The
business ecosystem model demonstrates that different stakeholders canhave a mutually beneficial basis and evolution of links. It does not focus
on the geography and characteristics of industrial areas. It promotes
industry policy and the rethinking of developmental strategies under
the perspective of caring for local and global resource connections.

Mitigating Supply Chain Risk: A Real Options Approach
Nunzia Carbonara, N. Costantino, Roberta Pellegrino
Politecnico di Bari, Italy

The purpose of this paper is to develop a framework for thequantification of the costs and benefits associated to these supply chain
risk management strategies and of their potential impact on
performance as well as on the risk profile of firms. To do this, we adopt
a Real Options approach, where a real option is the “right but not the
obligation” to choose a course of action and obtain an associated payoff.
By using this approach, in this paper we develop a real options-based
framework which models some of the most common supply chain risk
management strategies in terms of real options, thus posing the base forthe further evaluation of the costs and benefits associated to thesestrategies.

54

Session
Date
Time
Room
ChairsSupply Chain Management III
11/12/2014
11:00 - 12:30
Caymans 3
Yan-Ru Li, Abdul Rahman Abdul Rahim

SCM Trends and Challenges - Implications from a
Cross-industry Analysis

Felix Friemann1, Markus Gerschberger2, Kathrin Reitner2, Paul Schönsleben1
1
Swiss Federal Institute, Switzerland
2
Upper Austria University of Applied Sciences, Austria

The purpose of this paper is to identify new potential research areas forhealth care as part of the service sector. To evaluate how supply chain
management (SCM) research can support this sector, supply chain
principles identified by a literature review will be matched withchallenges and trends identified in a cross-industry sectorsemi-structured interview series. Finally, a set of promising principles is
identified and the potential to further analyze their application e.g. in
the health care industry suggested as an area for future research.

Vehicle Routing with Time Window for Regional Network
Services - Practical Modelling Approach

Iman Niroomand1, Amir H. Khataie1, Masoud Rahiminezhad Galankashi2
1
Canada Post, Canada
2
Universiti Teknologi Malaysia, Malaysia

Vehicle Routing Problem with Time Window (VRPTW) has
demonstrated an excessive application in postal service network design.
In this paper we elaborate on how VRPTW modelling approach canbenefit both firm and contractors. The business objective is to facilitate
the process of retendering the contracts. Accordingly, the novel
modeling approach has been developed in order to improve thepracticality of the results. The Ant Colony Optimization (ACO) is used
for solving the VRPTW for regional post office services.

Development of a General Collaboration Model - Basis for
the Establishment of a Collaboration Compass

Xiao-li Chen, Antonia Mahling, Ralph Riedel, Egon Müller
Technische Universität Chemnitz, Germany

With the speed up of globalization and its consequent increased
competition, companies are suggested to collaborate in networks fortheir long-term success. In this work, a general collaboration model isconstructed, which aims to provide a holistic insight into collaborationand shed some light on the theory of collaboration management.
Different dimensions, including collaboration life-cycle, endogenous
elements and exogenous elements, are listed out for the interpretation
here. To go into detail, the collaboration life-cycle is further divided into
six stages. Moreover, based on the social relational theory, endogenous
factors are clustered into motivation, structure, components andmanagement, while exogenous factors are represented by theperspectives of potential partners, market and society. With theproposed model, detailed information can be collected for the strategic
analysis and in the end lead to a sound collaboration strategy.

Solving Inventory Routing Problem with Backordering
Using Artificial Bee Colony
Huda Zuhrah Ab Halim, Noor Hasnah Moin
University of Malaya, Malaysia

We propose an Artificial Bee Colony to solve Inventory Routing
Problem with Backlogging/Backordering (IRPB). The network that we
consider is a one-to-many distribution network which consists of asingle depot and multiple customers. A fleet of heterogeneous vehicledelivers a single product to fulfill the customers’ demands over theplanning horizon. Here, we assume that the depot has enough supply
to cover all the demand throughout the planning horizon. Backordering
is considered only when it is more economical or when there isinsufficient vehicle capacity. The objective of IRPB is to find solutions
such that inventory cost, backorder cost and transportation cost is
optimal resulting in the minimization of the overall total cost. Artificial
Bee Colony (ABC) proposed is modified from [10] where we embed
inventory information and also incorporate the inventory updating
mechanism to handle both inventory and backorder. We also apply
2-opt* as local search to improve the routing and the algorithm is tested
on a set of benchmark problems.

55

Big Data Analytics for Supply Chain Management
Jens Leveling1, Matthias Edelbrock2, Boris Otto1
1
Fraunhofer-Institute for Material Flow and Logistics IML, Germany
2
Technical University of Dortmund, Germany

A high number of business cases are characterized by an expanded
complexity. This is based on increased collaboration between
companies, customers and governmental organizations on one handand more individual products and services on the other hand. Due tothat, companies are planning to address these issues with Big Datasolutions. This paper deals with Big Data solutions focusing on Supply
Chains, which represents a key discipline for handling the increased
collaboration next to vast amounts of exchanged data. Today, the main
focus lays on optimizing Supply Chain Visibility to handle complexity
and to support decision making for handling risks and interruptions
along supply chains. Therefore, Big Data concepts and technologies willplay a key role. This paper describes the current situation, actual
solutions and presents exemplary use-cases for illustration. A
classification regarding the area of application and potential benefits
arising from Big Data Analytics are also given. Furthermore, this paper
outlines general Big Data technologies to show capabilities of Big Data
analytics.

Multi Objective Supply Chain Network Design Considering
Customer Satisfaction
Mahdi Bashiri1, Hanieh Khorasani2, Mahdyeh Shiri1
1Shahed University, Iran
2
Eyvanekey Institute of Higher Education, IranIn this paper a supply chain network is designed considering multiple
objectives. The first objective contains total establishment andtransportation costs as well as previous works while facilities
depreciation costs are considered in the network. In the second
objective customer satisfaction is considered which include the fill rate
and the delivered products quality. Then an epsilon-constraint
approach is applied to find Pareto optimal solutions comparing to theobtained non-dominated solutions by weighted sum method. Finallysome sensitivity analysis is performed to check the model validity. It
confirms the validity of the proposed model.

Supply Chain Risk Management: A Method and Tool
Contributing to the Operational Aspects
Elena Rokou1, Konstantinos Kirytopoulos2
1
National Technical University of Athens, Greece
2
University of South Australia, Australia

The modern supply chains are based on extended organization
networks across different businesses and Industries. The uncertainty inthese networks becomes a great concern for the management of thechain in a holistic approach. Several studies provide a wide list of risk
management strategies and the general strategies for risk managementin the supply chain. However, the way that risks should be prioritized,
analyzed, treated and followed, is rarely discussed at an operational
level.
In light of this gap, this paper proposes a simple method supported by asoftware tool, on how to manage the risks that can lead to the supply
chain's disruption at an operational level. The method is "borrowed" by
the project management discipline and the way that they manage risks.
The main steps of the method cover: a) the identification of the risks
related to each echelon of the supply chain, b) the classification of risksc) the analysis and ranking of risks d) the treatment strategies, and e)
the follow up of risks. The steps of the method are supported by the
proposed software tool.

Session
Date
Time
Room
ChairsManufacturing Systems II
11/12/2014
13:30 - 15:00
Caymans 3
Urs Buehlmann, Bimal Nepal

Joint Optimization of Production-maintenance Plans Basedon Optimal Production Rates
Jeremie Schutz
Université de Lorraine, FranceThis paper deals with production and maintenance plans. Among a setof proposed requests, the production system must satisfy several ofthem. Each request is characterized by a profit, products quantity anddelivery date. The choice of the requests to perform must allow to
maximize net profit. To achieve this objective, preventive maintenanceplans and optimal production rates associated with each request must
be computed jointly. To solve this problem, a great deluge algorithm isused. A numerical example is also given to illustrate the proposedmodel.

A New Bi-objective Mathematical Model for Sustainable
Dynamic Cellular Manufacturing Systems

Farzad Niakan, Armand Baboli , Thierry Moyaux, Valerie Botta-Genoulaz
Université de Lyon, FranceThis study addresses dynamic cell configuration and labor assignment
by making a trade- off between economic, social and environmental
criteria which is called as sustainability configuration. In order toimprove the study about energy loss, a new bi-objective mathematicalmodel is presented. The first objective of model minimizes cost criteria
and the second one energy loss which is represented by the efficiency ofeach machine. We develop a Non-dominated Sorting Genetic Algorithm(NSGA-II) in order to solve our model. The applicability of ourapproach is illustrated by two test problems.

Optimization of Green Electrical Discharge Machining Using
an Integrated Approach
Jagadish1, Amitava Ray2
National Institute of Technology Silchar, India
2
Jalpaiguri Government Engineering College, India
1

This paper presents an integrated approach of Entropy–Technique forOrder Preference by Simulation of Ideal Solution (TOPSIS) method forthe determination of the optimal process parameters in green electricaldischarge machining. In this work, initially, an experiment is performed
using Taguchi experimental technique. Thereafter, Entropy-TOPSIS isused to convert multi response parameters into single response
parameter. Finally, the ranking of the parameter decides the bestexperimental set up and optimized the input process parameters. In thisresearch, the weight of the quality characteristics of each of the output
parameters are determined by the entropy method which influences thecloseness coefficient values for finding the optimal experimental set up
using TOPSIS method.On the basis of optimization results it has beenfound that peak current (4.5 A), pulse duration (261 μs), dielectric level(80 mm) and flushing pressure (0.3 kg/cm^2), which are the best
combinations of this analysis.

Applying Lean and TOC to Improvement Delivery
Performance for Machine Tool Manufacturers

Chuang-Chun Chiou1, T.W. Jhang2, Y. X. Deng2, J.T. Tsai2, C. Perng2
1Dayeh University, Taiwan
2Tunghai University, Taiwan

In this study, we apply the concept of lean system and the logic ofTheory of Constraint to Machine tool industry which is one of the mostcompetitive industries in Taiwan. The main objective of this study is toimprove the due-date performance by using process of lean thinking
and Strategy & Tactic Tree of TOC. After the lean thinking and TOC had
been implemented, the efficiencies are improved in many areas, such as
decreasing manpower, shortening the transportation distance,
production leveling, decreasing the lead time and increasing the fill rate.
The holistic effect of lean system is prevailing in every operation not
only in manufacturing department; it is also drawing attention fromsale, procurement, and engineering design departments. We found one
important factor that without the support and the determination of the
top level managers the effectiveness will be limited.

Interactive Virtual Machining System Using Informative
Data Structure and On-site Machine Tool Status
Aini Zuhra Abdul Kadir1, Xun Xu2
1
Universiti Teknologi Malaysia, Malaysia
2
University of Auckland, New ZealandVirtual machining systems that are adaptive and responsive towards
real machining environment are crucial to leverage a deep
understanding of the underlying machining operations. It must retain
radical behavior in order to enhance process planning and machining
performance, in response to ever-changing manufacturing activities.
Therefore, the study aims to develop an interactive virtual machining
system that is responsive to on-site machine tool condition utilizing
STEP-NC as the data structure. Signals from sensors are acquired,processed and converted into meaningful values where they were thenincorporated in the system enabling tool-path simulation in a realistic
environment. The system platform was constructed using C#
programming software, EXPRESS for constructing the data structure,and LABWindows for signal processing. The tested capabilities of thesystem functions showed that the up-to-date information obtained,
truly supports the inter-working concept in a virtual-real systems
interaction which leads to reduction of the total production time.

A Simulation Based System for Manufacturing Process
Optimisation
Hossam Ismail1, Lina Wang2, Jenny Poolton2
1
Xian Jiaotong-Liverpool University, China
2
University of Liverpool, United Kingdom

Simulation models have been extensively used in manufacturing toenhance the design, planning and decision making processes. However,
the tendency has been to use simulation in one-off applications, often at
the start of a project and not take account of inherent process changes
over time. This has inhibited their contribution as a real-time decision
make tool. This paper describes how simulation is used as a componentof an integrated optimisation platform to support real-time decision
making in a highly variable manufacturing process environment where
outputs are stochastic. The paper follows by proposing an integrated
framework for addressing issues of process variability in simulation
based systems.

A Conceptual Framework for the Performance Assessment of
Lot Release Policies
Rashmi Singh, Muthu Mathirajan
Indian Institute of Science, India

This paper presents a conceptual simulation framework (CSF) for theassessment of lot release policies on selected performance metrics, suchas cycle time, WIP level and throughput rate. The development of a CSF
is derived from the analysis of the semiconductor wafer fabrication,
which is perhaps one of the most complex manufacturing processes
found today. Due to economic efficiency and increased complexity,
simulation emerges as a powerful technique that can capture andanalyse such complex systems. The CSF which is developed here is
expected to improve the productivity of simulation analyses andfurthermore, it reduces the preparing time for input data and errors.

56

Session
Date
Time
Room
ChairsManufacturing Systems III
11/12/2014
15:30 - 17:00
Caymans 3
Nihal Jayamaha, Chuang-Chun Chiou

Multi-skeleton Model for Top-down Design of Complex
Modular Products
Dexin Chu, Xuening Chu, guolin Lv, Yuliang Su, Dongping Chen
Shanghai Jiao Tong University, China

To fulfill TDD( top-down design) strategy for efficient design ofcomplex modular products supported by current CAD tools, building
the unified information transmission mode is critical to solve theinconsistency of longitudinal strong constraints of TDD and horizontal
flexibility of configuration modular products. Based on therecursive-execution and structure-evolvement of TDD and modular
configuration design process, we put forward to replace constraints by
published skeleton through inheritance information refinement andclassification. Meanwhile, multi-skeleton model for one assembly is
proposed to substitute one skeleton of traditional TDD. These skeletonsare centralized by position skeleton in modular combination manner,which not only facilitate product cascading change automatically, alsoease to reuse and modify module, and validate product and system.
Crawler crane sample is elaborated to illustrate the multi-skeleton
model application effects of entire products design process, designchange and modular reuse. Finally, the conclusion of the work andfuture directions are given

Optimized Tool Path Planning in 5-Axis Flank Machining
using Electromagnetism-like Algorithms
Chi Lung Kuo1, Chih-Hsing Chu1, Ying Li2, Xinyu Li2, Liang Gao2
1
National Tsing Hua University, Taiwan
2
Huazhong University of Science & Technology, China

Optimization of tool path planning using metaheuristic algorithms
provides a feasible approach to reduce geometrical machining errors in
5-axis flank machining of ruled surfaces. The solution quality of thesealgorithms is unsatisfactory in a high-dimensional search space. In thisstudy, various algorithms derived from the electromagnetism-likemechanism (EM) were applied. The test results of representative
surfaces showed that all EMbased methods yield more effective optimal
solutions than does PSO, despite a longer search time. A new EM-MSS(electromagnetism-like mechanism with move solution screening)algorithm produces the most favourable results by ensuring thecontinuous improvement of new searches. This work improves thepractical values of tool path planning by offering a satisfactorymachining quality.

Signal Propagation Model Calibration Under Metal Noise
Factor for Indoor Localization by Using RFID
Seng Fat Wong, Xue Ni
University of Macau, Macau

Radio frequency identification (RFID) technologies as an effective
indoor localization solution are acquiring increasing attention for its
low cost and compactness and it plays a significant role in industrial
engineering. However, the location accuracy strongly relies onenvironment factor that will affect the signal propagation property(using by position system). To alleviate limitation imposed by thisreason unlike others, this paper proposes a new calibrated Received
Signal Strength Indication (RSSI) propagation curve for high accuracy
under metal noise factor. Therefore this curve is obtained by taking themetallic effect characteristic into consideration. The proposed results
are obtained from practical experiments by RF Code M250 and R150
tags. Aimed at incorporating these features into localization algorithm
appropriately and then the accuracy of RFID-based positioning system
under metal noise factor can be improved substantially.

57

Experiential Learning: Lean Team at Virginia Tech
Urs Buehlmann1, Omar Espinoza2
1
Virginia Tech, United States
2
University of Minnesota, United States

Experiential learning has not yet found the attention it deserves inacademic teaching. This paper describes a successful way to teachstudents highly complex subjects using experiential learning methods.
To teach Lean, Virginia Tech students have created a student-driven,faculty supported team who conducts lean transformation events atcooperating companies, conducts industry workshop to teach Lean, anduses self-guided learning to improve team member performance andknowledge.
Results show that students are highly motivated and become
self-driven agents through the opportunity to be a member of a highperforming team and to contribute to the team’s success. When
graduating, students remain connected to the team and continue tocontribute and participate in the team’s activities.

The Backward Growing Method for Constructing 3D Process
Models in the Machining Process Planning
Jinfeng Liu, Xiaojun Liu, Yalong Cheng, Zhonghua Ni
Southeast University, China

A 3D process model shows the manufacturing information intuitively
in different machining stages. Efficiently and easily constructing 3D
process model is one of the most important key technologies in 3D
computer aided process planning system and it meets the requirementsof the current 3D manufacturing environment. Thus, this paper focuseson creating the 3D process models (3D-PMs) based on the backward
growing methodology. Firstly, the 3D-PM is analyzed and decomposed
into two parts: the working procedure model and the process attributeinformation. Then, the WPM construction method is proposed by using
the geometrical reasoning knowledge and it is composed by theremoval material volume and the after processing model. Then theprocess attribute information is appended on the working procedure
models based on the proposed rules. Finally, the results of taking amachined part as the study case verify the validity of the developed
method.

Proposal of a Decision Making Model to Select the Best
Fitting Cost Estimation Technique in an ETO-MC
Environment

Aldo Duchi1, Golboo Pourabdollahian2, Davide Sili2, Matteo Cioffi2, Marco
Taisch21
ETH Zurich, Switzerland
2
Politecnico di Milano, Italy

ETO companies are characterized by their ability to produce purely
customized goods through individualized engineering process.
However, recently many of ETOs have considered a shift toward MC tooperate with more stable processes to increase efficiency and decreaselead time. This paper aims at analyzing this shift from an operational
point of view by developing a decision making model to support thesecompanies in selecting the best estimation technique in terms ofengineering cost.

Session
Date
Time
Room
ChairsInformation Processing & Engineering II
11/12/2014
09:00 - 10:30
Caymans 4
SC Johnson Lim, Abdul-Wahid Saif

Development of a Methodology for Cost-oriented Ramp-up
DesignAchim Kampker, Christoph Deutskens, Andreas Maue
RWTH Aachen University, Germany

Rapid product lifecycles and a growing product range lead to anincreasing number of production ramp-ups. In addition customers
demand for more individual products, so that the number of units for
products decreases. These factors lead to a growing importance oframp-up costs. A new five partial model-based methodology isdeveloped, that allows influencing the product and production systembefore and during the ramp-up phase. The methodology enables toanalyze specific ramp-up costs, identify the impact factors and deduce
measures in order to improve the cost situation while considering thewhole ramp-up target system regarding quality, time and lifecycle
costs.

Discovering Product Feature and Affective Associations
Through Collaborative Tagging
S. C. Johnson Lim1, Suhaili Jawaris2
1
University Tun Hussein Onn Malaysia, Malaysia
2
Universiti Tun Hussein Onn Malaysia, Malaysia

Affective or kansei design is a field of design engineering that concernswith designing emotionally pleasing products. One of the challenging
issues in this area is to successfully understand customer's affective
needs and to interpret it in terms of product design elements. Previous
studies have attempted to obtain customer's affective needs using
manual approaches, e.g. survey, which is a time-consuming and costly
process. In relation, the study of such a need is usually limited to anumber of product features only. In this study, we have proposed acollaborative tagging approach for discovering product features,
affective description and their associations through product review
analysis. Specifically, we have discussed on the task assignment, tags
aggregation and performance analysis of our proposal. A case study on
discovering feature-affective associations from car reviews is reported
to showcase the feasibility of our approach.

SWOT Analysis of NPTEL Knowledge Portal
Kalyan Kumar Bhattacharjee
Indian Institute of Technology Delhi, India

Indian higher education has grown in an unplanned manner in terms ofaccess and quality. There exists a large gap in demand and supply of
Indian education. There is an acute shortage of quality institute andcompetent academic staff members in Institute of Higher Learning inTechnologies (IHLTs) in India. Such a huge shortage of faculty andinfrastructure is difficult to remove. A credible alternative may bee-learning through which the reach of quality teachers can beextended and make them available to the outside world using thepotentials of Information and Communication Technology (ICT).
National Program of Technology Enabled Learning (NPTEL) is aplatform which has been setup by Govt. of India for this purpose. In
this paper the usefulness of NPTEL portal have been evaluated using
SWOT model, based on the survey conducted among the users of theportal where 2323 responses have been obtained. The result reveals thatthe portal is successful in smooth knowledge transfer.

Life Cycle Inventory Analysis and Equivalent Carbon
Dioxide Emissions Calculation of the Mining and Ore
Concentration Processes of PGM at The Anglo American
Platinum Ltd, South Africa
Junior Mabiza1, Charles Mbohwa1, Michael Mutingi2
1
University of Johannesburg, South Africa
2
Namibia University of Science & Technology, Namibia

Platinum group metals (PGM) are suitable for variety of specialty uses.
A growing demand of PGM is expected to address environmental
challenges; meanwhile, the extraction and recovery of PGM are among
the most polluting activities to the environment. Sustainability
reporting issued by mining companies annually provides figures
covering economic, social as well as environmental performances; alltogether reflect on sustainability performance. In most reports,
environmental aspect focuses on the progress made in improving thesystem performance in terms of satisfying compliance of emission
reductions required by the regulations, and are not looked at stream
value assigned to PGM currently. This study examines the growing
concern of environmental emissions of PGM mining and ore
concentration activities in South Africa; a case study of Anglo American
Platinum.

Construction of an Interactive Behavioral and Feature
Structure Model for Facebook
Tsung-Yi Chen1, Meng-Che Tsai2, Yuh-Min Chen2
1
Nanhua University, Taiwan
2
National Cheng Kung University, Taiwan

All businesses need to attract customers, and promoting a firm's goods
and services is the most direct way to achieve this. The use of effective
communication strategies can help in this regard, and such efforts canbe enhanced if more information can be obtained about the personality
traits of the target audience. This study proposes a mechanism for
automatically inferring users' personality traits from their social media
records, instead of more traditional ways such as face-to-face interviews
and observations or questionnaires. This study presents an "interactive
behavioral model" and a large number of "interactive behavioralfeatures" for use with Facebook. With regard to practical applications,the proposed mechanism could be used as a cloud-computing service,and the system architecture to support this is presented. In the future,
the system could serve businesses as a decision support tool fordeveloping better marketing plans and customized sales.

58Session
Date
Time
Room
ChairsTechnology & Knowledge Management II
11/12/2014
11:00 - 12:30
Caymans 4
Michael Gepp, Seung Ki Moon

Methodology for Resource Allocation in the Tool and Die
Industry
Guenther Schuh, Martin Pitsch, Thomas Kühn, Advan Begovic
RWTH Aachen University, Germany

The effects of globalization have caused a continuous increase ofcompetition intensity within the tool and die industry. Thus European
tool shops have access to emerging markets but in the same time they
have to face new competitors with lower factor costs. Furthermore
customer requirements have changed. New customer requirements
lead to derivatization and decreasing product lifecycles. The
demographic change results in limited availability of skilled andexperienced employees which especially affects know-how intensive
industries as the tool and die industry. In sum all factors force European
tool shops to aim for a fast, efficient and cost minimal manufacturing
process. This aim is only achievable by a capable employee andtechnology allocation. This paper presents a methodology developedby the Laboratory for Machine Tools and Production Engineering (WZL)of RWTH Aachen University, which shows an appropriate resource
allocation regarding employees and technologies to enable an optimalvalue creation process.

Measuring the Quality of Cooperation in Interdisciplinary
Research Clusters

Stefan Schröder, Markus Kowalski, Claudia Jooss, R. Vossen, Anja Richert,
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. Therefore interdisciplinary research has taken on
continuously greater significance. Over the last years various researchclusters - such as cluster of excellence - were initiated in the course of
the German excellence initiative. Thereby researchers with different
disciplinary backgrounds are brought together, to investigate researchquestions with societal and economical relevance. These new researchclusters cause various challenges, especially on communication,
because communicaÂ¬tion is one decisive factor of success ininterdisciplinary
cooperation.
Approaches
toinvestigate
communication, performance and interdisciplinarity within theseclusters are compared and a communication oriented measurement
approach is explained. Especially the operationalization and validationof the indicator communication, giving conclusions onto the quality ofcooperation, is depicted as well as measures to react on.

Do We Miscount Patent Citations? An Empirical Study on the
Impact of Overlooking the Citations to a Patent's Pre-grant
Publication

Chung-Huei Kuan, Hsiang-Jui Cheng
National Taiwan University of Science and Technology, Taiwan

Utility patent applications are usually published 18 months after they
are filed and before patents are actually issued. These so-called
pre-grant publications and their corresponding issued patents are bothcited individually and concurrently by the applicants or examiners ofsubsequent patent applications as relevant prior art. Most patent
analysts however overlook the citations to the pre-grant publications
and consider only those to the issued patents. This study assesses theimpact of such omission by comparing the citations to about 140,000 US
utility patents and their pre-grant publications. The statistics shows that
70% of the patents are underestimated by various degrees if thecitations to their pre-grant publications are ignored, suggesting thatanalyst should combine the citations to the pre-grant publications andto the patents together when evaluating patents or conducting patentcitation analysis.

The Contribution of Technology to Improving Meanings:
The Quantitative Analysis of Meanings

Satoru Goto, Shuichi Ishida
Ritsumeikan University, Japan

This paper focuses on an innovation of product meanings. Although theliteratures on the product meanings are rich, they didn’t mention how acompany makes new meanings because they focus on examination of
the process. Therefore, this paper suggests the comprehensive
framework between technologies and product meanings andquantitatively examines the response of consumer in kakaku.com,
which is the Website for price comparing in Japan.

59

We defined that meanings consist of aesthetic impression, semanticinterpretation and symbolic association. The results of linear
regressions show that consumer emphasis on semantic interpretation.
Therefore,technologies on semantic interpretation should be developedin NPD. Our framework and results can stimulate further investigationon the innovation of meanings in the discipline of technology
management.

Advance of Research on Technology Acceptance
Ruiping Yang, Liyan Zhou, Xinxin Hou, Yiming Xiang
Zhejiang Gongshang University, China

It gets extensive attention by scholars since the TAM is put forward.
From the most primitive TAM to recently UTAUT2 proposed by
Venkatesh, different scholars in different fields study on various TAM
from different angles, and the technology acceptance related models
experiences a series of development course. This study systematicallyarranges the papers in leading journals of technology acceptance study,
takes the evolution process of each model as a logical clue, analyzes thetechnology acceptance research context systematically, and also points
out the deficiencies in the technology acceptance research with the hopeof providing some reference for the follow-up study.

Readiness of Malaysian E-Commerce Companies to Harness
Web2.0’s Competitive Advantage: An Engineering
Management Approach
Ching Chieh Kiu1, Chien-Sing Lee2
1
UCSI Universitty, Malaysia
2
Universiti Tunku Abdul Rahman, Malaysia

The emergence of Web 2.0 technologies have changed the way how
e-commerce can be sustained and improved, i.e., by enhancing
competitive advantage. Integrating Web 2.0 technologies into
e-commerce Websites not only helps to improve customer shopping
experience but also helps to enhance customer engagement. This paper
will discuss the role and impact of Web 2.0 technologies in terms of how
they can be used to improve and enhance ecommerce’s competitive
advantage. A case study on Web 2.0 technologies’ usage on top 10
e-commerce websites in Malaysia has proven that social media such as
Facebook plays a significant role in improving competitive advantage.
Findings indicate that most of the e-commerce websites havesubstantially integrated Web 2.0 technologies in order to gain andimprove their competitive advantage and that social media improves
customer shopping experience and customer engagement at online
retail stores.

Educational Leadership: The Effects of Leadership inStudents Educational Performance in Engineering Institutes
Subhashini Gopal Krishnan, Vinesh Thiruchelvam
Asia Pacific University of Technology and Innovation, Malaysia

Since the early 21^st century, there is a enormous significance on
educational leadership. This is because of the widespread idea that theexcellence of leadership can make major differences to an institute andits students outcomes. In various parts of the world, there is
acknowledgment that institutes require well-organized principals ifthey are to provide the best education for their students. As theworldwide economy changes rapidly, more organization are realizingthat their main resources are their citizen and that remaining, or
becoming competitive depends gradually more on the growth of highly
skilled personnel. This eventually requires qualified and loyal
educators and this means they need the leadership of greatly efficient
principals and the support of other senior managements

Session
Date
Time
Room
ChairsInformation Processing & Engineering III
11/12/2014
13:30 - 15:00
Caymans 4
Seng Fat Wong, Chih-Hsing Chu

An Efficient Method for Checking Overlaps andConstruction Algorithms for the Bitmap Shape Packing
Problem

Sho Fukatsu, Yannan Hu, Hideki Hashimoto, Shinji Imahori, Mutsunori
YagiuraNagoya University, JapanThe two-dimensional strip packing problem arises in wide variety ofindustrial applications. In this paper, we focus on the bitmap shapepacking problem where a set of arbitrary shaped objects represented inbitmap format should be packed into a larger rectangular container
without overlap. The complex geometry of bitmap shape and large
amount of data to be processed make it difficult to check overlaps. For
this reason, most of the algorithms in the literature only deal withsmall-scale instances. We propose an efficient method for checking
overlaps and design efficient implementations of two construction
algorithms, which are based on bottom-left strategy. The computational
results for a series of well-known benchmark instances show that the
proposed algorithms obtain good solutions in remarkably short timeand are effective for large-scale instances.

Managing Conflict in Distributed Projects
Ramin Shahzadi, Mohsen Sadeghi, Asal Aghaz
Amirkabir University of Technology, IranSince late 1990s, the increasing number of complex and knowledge
based industries in one hand, and formation of IT-based
communications on the other hand, have raised the possibility ofcommunication in international projects between different groups fromseveral countries around the world. Nowadays, the emergence ofmultinational and massive scale projects is increasing. For such projects,
traditional and routine frameworks should be replaced by some newconcepts such as mega projects, distributed projects and GVT (Global
Virtual Teams). Although conflicts are natural and inevitable in the
distributed projects, inadequate attention to proper management ofconflict, specifically in distributed projects facing with several sourcesof conflicts, can lead to ineffectiveness of such projects. So, the purposeof our research is to investigate and classify the sources of conflicts indistributed projects and to develop the methods to manage theidentified conflicts. Data was gathered using questionnaires andinterviews. Results indicated three elements including team members,
process and technology as the main factors causing conflict indistributed projects. At the end, some future orientations have beensuggested for future research.

Analysis of Scientific Research Structure in Singapore Using
Bibliometrics and Network Analysis for Understanding
Their Characteristics of R&D: A Case Study of Biomedical
Field

Astochastic model to maximise firm’s profit and to find the best strategy
of paying payment is developed.Furthermore,we investigate the effectof late payment on the firm’s profit within the supply chain.Finally, theeffect of logistic bullwhip on the cash flow and firm’s profit isinvestigated.

Role of Walsh Codes and Pseudorandom Noise Sequences inCDMA
Puneet Chawla, Balwinder SinghPEC University of Technology, India

Walsh Codes are a set of orthonormal codes while PN Sequences are
statistically random but deterministically formed binary sequences.
This paper discusses the basic concepts underlying both sets of codesand some of their practical and interesting properties. Both areextensively used for multiple access channeling methods and data
signal modulation particularly in international CDMA standards. Their
implementation in CDMA and the factors influencing their relative
performance are also explained.

Learning from Past Changes - Towards a Learning-oriented
Engineering Change Management
Christoph Hollauer, Martina Wickel, Udo Lindemann
Technische Universität München, Germany

Due to the complex nature of Engineering Change Management (ECM),
managing knowledge and supporting an organizational as well as
personal learning process is a difficult but important task to support therealization of changes. This paper presents an approach to improve
ECM by applying and adapting existing knowledge management
methods with the aim of supporting companies in generation, transfer
and application of knowledge. The approach is based on a literature
review in different research fields like organizational learning andknowledge management. Based on the findings, a framework for
managing and cultivating knowledge specifically in the domain of ECM
has been developed. The concept incorporates different aspects likeknowledge transfer and knowledge generation from available
information on an interpersonal and technical level. The developed
approach aims at a continuous and eventually self-sustaining process ofknowledge generation, sharing and application.

A Study of Applying Severity-weighted Greedy Algorithm toSoftware Test Case Prioritization During Testing
Yen-Ching Hsu, Kuan-Li Peng, Chin-Yu Huang
National Tsing Hua University, Taiwan

Regression testing is a very useful technique for software testing.
Traditionally, there are several techniques for test case prioritization;
two of the most used techniques are Greedy and Additional Greedy
Algorithm (GA and AGA). However, it can be found that they may notconsider the severity while prioritizing test cases. In this paper, an
Enhanced Additional Greedy Algorithm (EAGA) is proposed for test
case prioritization. Experiments with eight subject programs are
performed to investigate the effects of different techniques under
different criteria and fault severity. Experimental results show that
proposed EAGA perform well than other techniques.

Ken Hayashima, Haruki Sawamura, Ichiro Sakata, Yoichiro Matsumoto,
Hajime Sasaki
The University of Tokyo, Japan

These days, we are seeing increasing demand for accurate measurementof the effectiveness of policies. However, it has been difficult to measure
the effectiveness of policies accurately, because of the limited number ofmethods, which include interviews, analysis based on the number ofpatents, and analysis of theses. Therefore, there is increasing demandfora methodology for precise measurement. Through this research, wewould like to be part of those researches trying to satisfy this demandby adopting bibliometric analysis.
In this paper, we introduced network analysis in order to evaluate acountry’s presence in the academic field.In particular, we focused on
three centralities, betweenness centrality, eigenvector centrality, andcloseness centrality, in the measurement. As a result, it is shown that
Singaporean institutes have higher centrality, especially betweenness
centrality, as well as a high ratio of international researchers

Modelling Financial Flow of the Supply Chain
Mohammad Hossein Jahangiri, Franjo Cecelja
University of Surrey, United Kingdom

Many works have been done on the product flow of the supply chain
whereas there is a little research works on the financial aspect of the
supply chain. Moreover, bullwhip effect like lead time is usuallyconsidered on the product flow of the supply chain and no literatures
review this effect on the cash flows. In this paper, the flow of cash in a
supply chain is considered from the manufacturer point of view who
receives money from its customers and makes payment to the suppliers.

60

Session
Date
Time
Room
ChairsTechnology & Knowledge Management III
11/12/2014
15:30 - 17:00
Caymans 4
Chung-Huei Kuan, Ralph Riedel

Fasten Your Seatbelts, Turbulence Ahead: Environmental
Turbulence as a Determinant of Absorptive Capacity
Valeria Stulova, Mait Rungi
Tallinn University of Technology, Estonia

Absorptive capacity of an organization, or its ability to use externallygenerated knowledge for own benefit, is an important determinant oforganizational success. At the same time, environmental turbulence isconstantly re-shaping business terrain, affecting organizations,
resources at their possession and their capabilities. This paper
investigates the impact of the subsets of environmental turbulence on
absorptive capacity, aiming to understand how much does theenvironment define the ability of organizations to learn frominformation generated externally. The results demonstrate thattechnological turbulence exercises the most influence on all facets ofabsorptive capacity of organizations, followed by the evolvement of
new opportunities to apply their know-how. Dynamism enhances
continuing development and bottom-up innovation subsets ofabsorptive capacity the most; exercising mostly negative influence ondeferred knowledge use and trust-based internal cooperation.

A Preliminary Survey on Modeling Customer Requirementsfrom Product Reviews Under Preference Uncertainty
Anies Zakaria, S. C. Johnson Lim
University Tun Hussein Onn Malaysia, Malaysia

Nowadays, design and manufacturing companies are constantly
investigating ways to offer products that are able to meet with the everchanging customer taste. Therefore, identifying customer requirements
is important towards designing successful products. Recently, acquiring
customer requirements from product reviews is a preferable approachthat offers certain advantages over common methods such as
interviews and questionnaire studies. However, uncertainty is usually aless emphasized factor in requirements modeling. This paper presents asurvey on the recent achievements in identifying customer
requirements from product review, with the preference uncertainty
factors considered. Three main topics on identifying voice of customers(VoCs), VoCs from product reviews and uncertainty in customer
requirement are explicitly discussed. Based on our extensive survey, anumber of research challenges concerning the aforementioned topics
have been identified and suggested. We have also briefly discussed on a
few promising further research directions based on our findings.

Hybrid Intelligent Patent Mapping for Offshore Wind
Industry Analysis
Chin Yuan Fan1, Shou Hao Chang1, P. S. Fan2, L. F. Kao3
1
National Applied Research Laboratories, Taiwan
2
China University of Science and Technology, Taiwan
3
National Taipei University of Technology, Taiwan

Offshore wind technology is the most popular in recent years, the fieldof energy technology issues, was becoming increasingly relevant
research. However, the research is still lack in the patent portfolio. This
study examines numerous patent and use Intelligent clustering method
try to identify appropriate patents by examining all-world patent poolcases of offshore wind power development, a form of alternative energy,
and analyzing technology and patent maps. Thus, we identified apromising research direction, thereby enabling industry personnel tomake technological breakthroughs in this field.

61

Users' Acceptance of IT and Its Impact on Knowledge
Sharing: A Case in the South African Banking Industry
Abdulkadir Kolawole Bello, Kai-Ying Chan
University of Pretoria, South Africa

Past research have pointed out that one of the major challenges facingknowledge management processes is to help employees share what
they know within an organisation. The challenge here lies on people
who use IT tools for knowledge sharing, therefore knowing users'
attitude and behaviour when using IT for knowledge sharing isimportant. The model that will be used for this research is based on theTechnology Acceptance Model, with an extension derived from
Kelman's process of shared influence known as subjective norms. The
results show that the perceived usefulness of IT for knowledge sharing
has more influence on users' intention to use IT as compare to theimpact of subjective norms. It is recommended that training programs,
seminars, and workshops should be organised to escalate awarenessand enhance employees' perceived usefulness of these IT tools forknowledge sharing.

Interpretive Structural Model of Key Performance Indicators
for Sustainable Manufacturing Evaluation in Cement
Industry
Elita Amrina, Annike Lutfia Vilsi
Andalas University, Indonesia

This paper aims to analyze the relationships among the Key
Performance Indicators (KPIs) for sustainable manufacturing
evaluation in the cement industry. The initial KPIs have been identified
and derived from literature, and then validated by industry survey. As aresult, three factors dividing into a total of thirteen indicators have been
proposed as the KPIs for sustainable manufacturing evaluation in
cement industry. Interpretive structural modeling (ISM) methodology isapplied to develop a network structure model of the KPIs. The results
show the indicators of economic factor are regarded as the basic
indicator, while the indicators of environmental factor are indicated tobe the leading indicator. Of those indicators, raw material substitution
is regarded as the most influencing indicator. The ISM model can aid
the cement companies by providing a better insight in evaluating
sustainable manufacturing performance.

What Innovation Managers Really Do - An Empirical Study
About Tasks, Skills and Traits of Innovation Managers inGermany
Maximilian A. MaierFriedrich-Alexander-Universitaet Erlangen-Nürnberg, Germany

Managing innovation leads to a kind of contradiction. On the one hand,innovation needs informal structures and communication, free flow of
information and room for creativity. On the other hand, companies
strive for efficiency and lean processes. Therefore, companies structureand formalize the innovation management process. As part of thisprocess the profession of an innovation manager emerged. Like inmany other roles in management, the innovation manager has
designated tasks, as well as certain skills to perform these tasks.
Additionally, an innovation manager may have a typical personality.
This study answers the questions about the typical tasks, skills andpersonality traits of innovation managers especially in Germany. I
found that the picture of a multi-talented generalist, managing thewhole innovation process is only partly right. Finally, more findings
and ideas for further research are discussed.

Session
Date
Time
Room
Chairs

E-Business & E-Commerce
11/12/2014
09:00 - 10:30
KaywestJindong Li, Hing Kai Chan

Adoption of Near Field Communication for Mobile Payment:
Evidence from Macau
Kin Meng Sam1, Chris Chatwin2, Jing Xin Zhang1
1
University of Macau, China
2
University of Sussex, United Kingdom

The proliferation of mobile banking is creating increased opportunities
for seamless businesses processes. The advent of Near Field
Communication (NFC) could facilitate the future of mobile payment.
Even though NFC has been adopted in several countries, this newtechnology has not been adopted by individuals in Macau, where thetremendous economic growth is greatly dependent on the gaming
industry. This paper presents a study on consumers’ attitudes towards
adoption of NFC enabled mobile payment technology in Macau. By
using Technology Acceptance Model (TAM) and related literature, anevaluation model is designed to analyze users’ adoption of NFC in
Macau. The results reveal academic and practical implications for
future development and implementation of NFC in Macau.

The Implementation Strategy of Key Task for ERP Activities
Te- King Chien, Ming-Sian Cheng
National Formosa University, Taiwan

Enterprise resource planning (ERP) system can help business executives
effectively integrate and apply resources, and thus becomes an essential
factor for business operation. But, its implementation process must
continue to integrate, build and reconfigure internal and external
resources, procedures and capabilities. So many scholars haveproposed a variety of solutions attempting to improve the effectivenessof implementation activities, but the results are too conceptual andsegmentary, and the process and practice of implementation activities
are not clear.
For this reason, this study combines qualitative interview method withmultiple criteria decision-making method (MCDM) to establish the“tasks execution order decision table” and “implementation strategy
diagram” of ERP implementation activities. Also through a case study,
this study confirms that reasonableness and correlation of the results
can help enterprise grasp the task and decision making direction,enhance success rate, and reduce redundant resources waste in ERP
implementation activities.

The Role of Perceived Value on Customer E-shopping
Intention Using Technology Acceptance Model, (TAM)
Ali Hajiha1, Mohammad Reza Shahriari1, Nayereh Vakilian2
1
Islamic Azad University, United Arab Emirates
2
Islamic Azad University, Iran

Lack of trust in e-commerce is a major reason that prevents customers
to shop via internet. Since customers assess the cost and benefits andthen decide to purchase, this study aims to investigate the role ofperceived value and online trust on customer intention towards
e-shopping through the Technology Acceptance Model, (TAM). Testing
the relationships between the variables of the model, 160 questionnaires
were accomplished by the graduated students of Information
Technology (IT) management who are studying virtually in the Islamic
Azad University and at least have had an e-shopping experience once
before. The results showed that the perceived ease of use, usefulness
and perceived value have a positive impact on customers' attitude andtrust in online shopping. In addition, both customer attitudes and trust
have a positive impact on their tendency to shop on the internet.

Probation of the Private Enterprises' Informatization in
Wenzhou
Jindong Li, Jixuan Feng
Zhejiang Wanli University, China

The case studies and questionnaire were employed in this paper toresearch private enterprises' informatization in Wenzhou, PRC, which
are mainly family-run enterprises. It is found that the ability of
information application will directly affect the overall operation of theenterprise. Currently the informatization of single respect has become
mature, the same as partial application of IT. However on the level ofcollaborative and integration there still has a long way to go. Some
issues such as shortage for IT professional staff, the blind management
and insufficient support of government still exist.

Cloud Manufacturing for a Service-oriented Paradigm Shift
Yuqian Lu, Xun Xu
University of Auckland, New Zealand

Manufacturing industry is undergoing a major transformation fromproduction-oriented business to service-oriented business, inspired by
the advancement of smart technologies and sophisticated demand for
product-service systems from the dynamic market. Cloud
manufacturing is emerging as a key enabler for manufacturing
companies to deliver highly customisable services over the Internet.
This paper aims to investigate how cloud manufacturing systems is able
to facilitate effective service-oriented business. Major challenges indeveloping a cloud-based manufacturing marketplace are discussed. A
system framework for cloud-based service provision is proposed.

Consumer Attitudes Toward Online Video Advertising: An
Empirical Study on YouTube as Platform
Keng-Chieh Yang1, Conna Yang2, Chia-Hui Huang3, Po-Hong Shih2, Su Yu
Yang Yang2
1
Hwa Hsia Technology of Univeristy, Taiwan
2
National Chiao Tung University, Taiwan
3
National Taipei College of Business, Taiwan

The usage of Internet is getting widespread, and the service of online
video is getting more and more popular. The revenue of the web service
providers comes mostly from the advertisements. This study
investigates the attitudes toward the advertisements while watching
online videos in YouTube. We followed the research of users’ attitudes
toward advertisements (Brackett & Carr, 2001) and combined it with thetheory of reasoned action and the flow theory in the psychology. This
study investigates the factor affecting attitudes toward advertisements
and the influence to behaviors. Our findings show that the model
explained most of the variance of attitudes toward advertisements insites providing services of online videos indicating that the model isconfirmed in the situation of online video advertising. The conclusion
and managerial implications have further discussions.

62Session
Date
Time
Room
ChairsReliability & Management Engineering
11/12/2014
11:00 - 12:30
KaywestDavid Valis, Sanjay Kumar Palei

Software Hazard Rate Modeling with Multiple Change-Point
Occurrences
Shinji Inoue, Shigeru Yamada
Tottori University, Japan

We propose a software hazard rate modeling framework with the effectof multiple change-point occurrences for developing more plausible
software reliability growth models reflecting actual environment in thetesting-phase of a software development process. Especially, ourmodeling approach enables us to develop a software hazard rate modelwith the effect of multiple change-point occurrences by assuming thehazard rate before the first change-point occurrence. Finally, we
conduct goodness-of-fit comparisons of our multiple change-point
model with the corresponding non-change-point model by using actual
data.

Reliable System Design Under Uncertainty
Mengqi Li, Minghong Han, Jiaqi Xu
Beihang University, China

System design often concerns performance while ignoring reliability,
leading to a satisfactory but unreliable outcomes. To overcome thisproblem, system design combining reliability allocation is proposed,
and implementing under uncertainty. Analytical target cascading (ATC)is used as the basic framework to conduct the procedure using asequential optimization and reliability assessment (SORA) method.
ATC could decompose system into a multilevel structure corresponding
to its reliability model, and SORA improves the efficiency of the whole
design optimization. The gist of proposed method is to involve
reliability into variable set and operate optimization in such ATC
multilevel system under probabilistic uncertainty, resulting incoordinated system design and reliability allocation. By this mechanism,
reliability affects design to obtain a compromise. At last, a structural
missile problem is tested to validate the effectiveness of proposed
method.

Integration of Failure Prediction Bayesian Networks forComplex Equipment System
Weitao Si, Zhiqiang Cai, Shudong Sun, Shubin Si
Northwestern Polytechnical University, China

With the advantages of the modularization concept, this paper proposes
an integration modeling method of failure prediction Bayesian network(FPBN) to deal with failure prediction problem of complex equipment
system. First of all, the definition of failure prediction Bayesian network
module (FPBNM) is introduced and described. Then, when the complex
equipment system is decomposed into some subsystems andrepresented with a set of related FPBN models, the corresponding
modularization method of FPBN to FPBNM and the integration methodof FPBNM models are discussed in details. Moreover, based on the
super node mode of integrated FPBN model, this paper proposes a
convenient and efficient inference algorithm. Finally, the case study of
FPBN integration for an airplane head up display (HUD) system iscarried out. The result shows that the proposed integration method of
FPBN could build and inference the practical model efficiently for suchcomplex equipment system.

63

Prediction of Vehicle further Operation and Fault Based on
Tribo-diagnostic Data
David Valis1, Libor Zak2, J. Chaloupka3
1
University of Defence, Czech Republic
2
University of Technology, Czech Republic
3
Military Technical Research Institute, Czech Republic

The paper deals with the application of selected analytical methods foranalysing field data from heavy off-road military vehicles. The
information from the engine oil is interpreted in a form of polluting
particles like particles from a wear process (e.g. Fe, Pb, Cu, etc.) andparticles from oil deterioration itself (like Mn, Si, Zn, etc.). These data
have good technical and analytical potential which has not been
explored well yet. A reasonable set of vehicles and their oil data fromin-field-operation are available. Taking into account data processing weassume it will be possible to determine some changes. This may help tomodify e.g. a system maintenance policy, estimate system operationand help with mission planning.

Estimation of System Residual Useful Life Based on Selected
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 residual technical life.
When estimating a residual technical life statistically, a big amount oftribo-diagnostic data is used. Data 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.
They are Ferrum (Fe) and Lead (Pb). By modelling the occurrence ofparticles in oil we expect to determine the adequate moment to perform
preventive maintenance and the length of residual system useful life.
The way of modelling is based on the specific characteristics ofdiffusion processes, namely the Ornstein-Uhlenbeck process. Following
the modelling results we could set the principles of “CBM - Condition
Based Maintenance”. However, the possibilities are much wider, since
we can also plan operation, mission and reduce life cost.

Session
Date
Time
Room
Chairs

Project Management II
11/12/2014
13:30 - 15:00
KaywestThierry Coudert, Premaratne Samaranayake

Knowledge Transfer in Project-based Organizations. A
Conceptual Model for Investigating Knowledge Type,Transfer Mechanisms and Transfer SuccessCorro van Waveren1, Leon Oerlemans2, Marthinus Pretorius1
1
University of Pretoria, South Africa
2
Tilburg University, Netherlands

Knowledge transfers across projects in Project-Based Organizations(PBOs) are more complex and challenging than in the permanentorganizational context due to the temporary nature of project teams inwhich team members do not see capturing and transferring acrossprojects as important for long term benefits to the organization.
Although knowledge transfer is well researched, few empirical studies
have covered the implementation of knowledge transfer across projects
in project-based organizations. To gain an overview of the knowledgetransfer process in PBOs, a systematic literature review is conducted tothe three theoretical concepts of interest in this study, namely
knowledge type, transfer mechanisms and transfer success. The
literature review identified several dimensions under each theoreticalconcept. Subsequently a conceptual model with two propositions is
proposed for future empirical study in the relationships amongst thethree theoretical concepts.

A Conceptual Multi-dimensional Evaluation Model for New
Product Portfolio Management – Using Hybrid Fuzzy Modelof AHP-DEA
Kiranmayi Pulipaka, Muthu Mathirajan
Indian Institute of Science, India

Even a best performing industry requires a major improvement inproject selection methods as nearly half of initial new productdevelopment ideas occur informally or without a specific goals. In an
industry, for efficient selection of projects it requires trade-off among
maximizing revenues, optimizing resources and minimizing risks. The
objective of this paper, is to study and identify an efficient metrics tomeasure respective evaluative dimension; and develop a conceptualmodel for selection and evaluation of a set of projects for New Product
Portfolio Management (NPPM). In this paper, a hybrid fuzzy model of
AHP-DEA is developed. This model assist decision maker, to select theright set of projects with higher development potential to maximize
profitability and minimize the associated risk.

A Recommendation on PLUS Highway Development: A
Social Network Analysis Approach
Norhaidah Mohd Asrah1, Maman Abdurachman Djauhari2
1
Universiti Tun Hussein Onn Malaysia, Malaysia
2
Universitas Pasundan, Indonesia

Road development is one of the important elements for the overall
economic and social development in the world. A better interconnectedroad network is crucial to increase the economic activities, such as trade.
Highway, as the backbone of a country’s transportation system, arerequired to overcome the demand for efficient road transportation.
Besides, highway development is part of the government commitment
towards the development of road network. In this paper, the network
analysis of PLUS highway development was studied. The data usedwere based on the number of vehicles that entered and exited each toll
plazas from Penang to Johor. The relationships between the toll plazas
were studied by using minimum spanning trees and the overall
centrality measures were used to determine the most influential toll
plazas among the states. Based on the results, some recommendations
are forwarded to the PLUS highway to improve the services and toincrease the traffic efficiency.

Evaluating Risk Factors in the Operation of Virtual Teams in
ICT Projects
Nikos Rassias1, Konstantinos Kirytopoulos2
1
National Technical University of Athens, Greece
2
University of South Australia, Australia

Advancements in communications technology, coupled with theremarkable difference of labour costs among countries, has fostered thedelivery of projects through virtual teams. The purpose of this researchis the development of an evaluation tool that can assist a project
manager assess the operation of a virtual team. The proposed tool,
mainly based on an intra-team survey, evaluates risk factors that may
inhibit the performance of the team and thus affect project objectives.
The research followed the literature review and the case study
approach, where an evaluation tool was produced, run and validated.
The literature review revealed that the thematic areas mostly related torisk factors of virtual teams delivering ICT projects are: a) teamwork,
cohesion, trust b) internal processes c) communications and d) politics,
ethics, culture. The main finding from the case study was that theevaluation tool may reveal risk factors that have not been identified by
the project manager.

Instructional Design for Online Course Delivery inEngineering Management: Synthesizing Learning Styles,
Pedagogical Perspectives and Contingency Factors
Senevi Kiridena1, Premaratne Samaranayake2, David Hastie1
1
University of Wollongong, Australia
2
University of Western Sydney, Australia

Online course delivery can not only help meet the increasing flexibility
demanded by students, but also enhance collaborative learning.
Moreover, online delivery allows access to students and markets thatare not served through the traditional face-to-face delivery mode.
Despite these potential benefits, and the opportunities created by theadvancements in information and communications technologies, there
are still many barriers to the market penetration of online education
programs. This paper explores the implications of learning theories,
pedagogical aspects and other contingency factors for instructional
design in the context of online delivery of tertiary courses. A synthesisof extant knowledge pertaining to these perspectives is presented in theform of an integrated conceptual framework for guiding future work.

Identifying Critical Project Management Techniques andSkills for Construction Professionals to Achieving Project
Success
Jui-Sheng Chou, Ngoc-Tri Ngo
National Taiwan University of Science and Technology, Taiwan

This paper provides valuable information about the effectiveness ofProject Management Body Of Knowledge (PMBOK) by evaluating
performance of knowledge practice in the Taiwan construction industry.
The surveys are analyzed by structural equation modeling to test therelationship between PMBOK techniques/tools/skills (TTS) and projectsuccess (PS). Importance-performance analysis (IPA) is presented todetermine the priority of PMBOK TTS and the indicators that influence
PS. The IPA can help construction practitioners to implement effective
managerial strategies, enhance project performance, and improve theefficiency of the use of management resources, thus promoting projectsuccess. This empirical study reveals that construction practitioners candevelop management knowledge to increase the likelihood of projectsuccess based on the identified important TTS and their perceived
performance.

64Session
Date
Time
Room
ChairsSystems Modeling & Simulation II
11/12/2014
15:30 - 17:00
KaywestSyafiie Syafiie, Aini Zuhra Abdul Kadir

An Ising-based Approach to the Study ofInter-organizational Team Dynamics

Ilaria Giannoccaro, Ilario De Vincenzo, Giuseppe Carbone
Polytechnic University of Bari, Italy

In this paper inter-organizational teams are analyzed using the social
network perspective, identifying three types of networks, i.e., thehierarchical, the knowledge, and the friendship ones. The main teamdynamic concerning how team members change opinions isinvestigated by employing the Ising model of social interactions, withthe aim of investigating the team performance in terms of conflict
reduction and final level of agreement. A simulation analysis is carriedout to assess the effect of the environment as well as of the team size,
the density, and the connectivity of the social networks, on teamperformance. Results confirm that the team size, the network density
and a random connectivity positively impact team performance, whileenvironmental turbulence negatively affects the team performance.

Individual Versus Integrated Simulation Techniques in
Healthcare Applications
Mohammed Abdelghany1, Amr B. Eltawil2
1
Egypt-Japan University of Science and Technology (E-JUST), Egypt
2
Egypt - Japan University of Science and Technology (E-JUST), Egypt

This paper compares between the individual and integrated simulation
models used in the healthcare context. The paper focuses on theindividual models using Agent-Based Simulation (ABS), Discrete Event
Simulation (DES), and System Dynamics (SD), in addition to theintegrated approaches as well as hybrid simulation, considering theadvantages and limitations for each technique and the simulation
software packages used for modeling. We demonstrate the advantage ofthe integrated approaches over the individual approaches. Integrated
approaches help in modeling more complex healthcare systems andovercome the individual methods limitations. The paper concludes by asuggested framework for integrating the three methods in modeling of
emergency rooms in order to achieve new objectives and improve
performance.

CFD Analysis of Chlorine Gas Dispersion In Indoor Storage:
Temperatures with Wind Velocities Effect Studies
Mohsen Safakar, S Syafiie, Robiah Bt. Yunus
Universiti Putra Malaysia, Malaysia

Most of the industrial chemical products encounter naturalenvironmental risk in the process. The indoor release of hazardous
dense gases is especial topic for discussion nowadays because theclouds of heavier gases have a tendency to stay near the ground level,causing fatal and injuries the people. In this article a computational
fluid dynamics (CFD) code FLUENT was employed in order to model
the accidental indoor dispersion of chlorine from a small undetectedleak in an indoor industrial space. The results of simulation represented
that the chlorine gas spread would behave like liquid and flows on thefloor, also the concentration of chlorine increased to above the groundlevel slowly. The effects of various temperatures and wind velocities on
dispersion of heavier gas will help to better identify the potential risks.
In this paper, the effects of the environmental situations with the releaseand spread of chlorine in the indoor space were meticulously examined.

Depicting Product-service Systems in the Early Phase of the
Product Development
Daniel Kammerl1, Martin Enseleit1, Robert Orawski1, Danilo MarcelloSchmidt2, Markus Mörtl1
1
Technische Universität München, Germany
2
Technical University of Munich, Germany

Especially the early phase of the innovation process, the planning phase,is characterized by extensive decisions and a wide range of uncertainty.
Hence, it is essential for product designers to understand future
Product-Service System characteristics and prospective properties.
Thus, in this paper we present a framework for depicting a
Product-Service System model throughout the planning phase of theinnovation process based on existing methodologies in product andservice modeling The user of the framework should be supported indecision making and keeping the overview during the early phases of
product development so crucial decisions can be made on a conceptualand reasonable basis.

65

No Clutch Fuzzy Logic-controlled Hybrid Transmission
Essam Esmail1, Hamed Hussain2, Rahman Hussain2
1
University of Al Qadissiyah, Iraq
2
Middle Technical University, Iraq

This work presents a proposed design of a fuzzy logic-controlled
hybrid transmission with only one electric motor/generator (MG) andwithout any rotating clutches. The proposed hybrid transmission serves
to regulate the engine's effective gear velocity by mixing the engine andelectric MG powers through a power controlling device. With a control
unit, four major modes of operation excluding a regenerative braking
capability are shown to be feasible in the proposed hybrid transmission;
electric motor mode, engine mode, engine/charge mode, and power
modes. Continuously variable transmission (CVT) capability isprovided with the engine/charge mode and with the power mode. The
power mode can be further subdivided into three hybrid sub-modes
that correspond to the direct drive, under-drive, and over-drive of aconventional automatic transmission. The feasibility of the proposed
hybrid transmission is demonstrated with a numerical example
employing a simple gear train. All the driving conditions of the vehicle
are studied and identified. The design is implemented using fuzzy logic
and simulated in MATLAB/ Simulink.

Fractional Order PI Controller for Wind Farm Supervision

Boualem Benlahbib1, Noureddine Bouarroudj1, Farid Bouchafaa2, Bachir
Baton1
1
Unité de Recherche Appliquée en Energies Renouvelables, URAER, Algeria
2
Laboratoire d'Instrumentation, Faculté d'Electronique et d'Informatique USTHB,
Algeria

Nowadays, the research related to the wind farms is oriented to thedevelopment of supervision algorithm to manage the active andreactive powers as well as to provide an ancillary system. This paper
proposes Fractional Order Proportional integral [FOPI] Controller
algorithm for wind farm supervision. This control system is based on
two control levels: A supervisory system controls active and reactive
power of the whole wind farm by sending out set points to all windturbines, and a machine control system ensures that set points at thewind turbine level are reached. The whole control is added to thenormal operating power reference of the wind farm established by aSupervisory Control. Finally obtained Results by this controller are also
compared with the conventional PI controller through simulation
results considering a wind farm of three generators DFIGs (1.5 MW).

Multi-objective Genetic Algorithm in Green Just-in-time
Logistics
Ashkan Memari, Abdul Rahman Abdul Rahim, Robiah Ahmad
Universiti Teknologi Malaysia, Malaysia

This paper addresses a mixed-integer linear programming model byintegrating just-in-time delivery along with green objectives in alogistics network. Multi objective genetic algorithm optimization has
been applied in order to minimize the number of delivery and lead-time
as well as environmental impact of logistic network. This evolutionary
based algorithm incorporates non-dominated sorting genetic algorithm,
so as to allow heuristic for parallel optimization of the objectivefunctions. Computational results demonstrate efficiency of the
proposed model for minimizing the objective functions. Finally, theconclusion and some areas of further research are proposed.

Session
Date
Time
Room
ChairsSafety, Security & Risk Management
11/12/2014
09:00 - 10:30
CancunNetai Chandra Karmakar, Elena Rokou

A Taxonomy of Security and Privacy Requirements for theInternet of Things (IoT)
Israa Alqassem, Davor Svetinovic
Masdar Institute of Science and Technology, United Arab Emirates

Capturing security and privacy requirements in the early stages ofsystem development is essential for creating sufficient publicconfidence in order to facilitate the adaption of novel systems such as
the Internet of Things (IoT). However, security and privacy
requirements are often not handled properly due to their wide variety
of facets and aspects which make them difficult to formulate. In thisstudy, security-related requirements of IoT heterogeneous systems aredecomposed into a taxonomy of quality attributes, and existing security
mechanisms and policies are proposed to alleviate the identified forms
of security attacks and to reduce the vulnerabilities in the future
development of the IoT systems. Finally, the taxonomy is applied on an
IoT smart grid scenario.

Friction Measurements on Floors Under Solid ContaminatedConditions
Kai-Way Li, T-Y Pei
Chung Hua University, Taiwan

Slip and fall incidents are common. Lack of Friction on the floor has
been identified as one of the leading contributors for slipping andfalling incidences.
Friction between the shoe and floor may bemeasured using a slipmeter. The purpose of this study was toinvestigate the effects of the floor roughness, shoe sole tread andsurface conditions of the floor on friction coefficient. The surface
conditions included dry, wet, and solid contaminated conditions. For
dry surfaces, dry clean floors were tested. For wet surfaces, water waspoured on the tested floors to simulate the wet condition. The solid
contaminated conditions included floor covered with emery particles of
7 different sizes (from 50 ÎĽm to 2000 ÎĽm). Friction measurements wereconducted in the laboratory. The results showed the solid particles
provided more hazardous conditions than water on the floor. Largeparticles resulted in lower friction than smaller ones.

Understanding Hazards and Risks in Modern Sociotechnical
Systems: Systemic Approach to Identify Human,
Organizational and Technical Factors
Haftay Hailay Abraha, Jayantha P. Liyanage
University of Stavanger, Norway

A complex sociotechnical system has a large number of components,
where complex interactions may lead to collective emergent behaviors
that cannot, even qualitatively, be derived as a plain resultant from theindividual components’ behavior. To cope with such complexity, one
needs to study all disasters from a common systemic perspective, sothat one can thoroughly understand the commonalities as well as thedifferences, in order to better design and control such systems in the
future. The motivation for this paper was the hindsight bias of theaccident investigative reports associated with the Deep water Horizon
and the Piper Alpha disasters. The accident analyses were based on
simple and linear approaches which tend to blame operators instead ofsystemic identification of origins. This paper offers an alternative viewusing systemic thinking concepts to identify some of the human,
technical and organizational factors which were believed to be theunderlying causes for the Deep water Horizon, Piper Alpha and manyother major recent disasters.

Effects of Demography and Occupational Traits on
Consequence of Injury of Underground Coal Miners

Sanjay Kumar Palei, Netai Chandra Karmakar, Rutwick S. M. Reddy
Indian Institute of Technology (B.H.U), India

In spite of introduction of modern underground mining methods,
mining is still a hazardous occupation. Different individuals are
exposed to different levels of injury risk and injury severity due toindividual and workplace characteristics. In this paper, accident data ofthree Indian underground coal mines were collected. The analysis wasdone based on consequence of injury (in terms of man-days lost) with
due emphasis on age, occupation, cause, skill and body parts injured.
The relative risk of various contributing parameters was estimatedusing multinomial logistic regression analysis. The results reveal thatage of the worker, skill of the worker and the cause of injury bear no
significant relation on consequence of the injury. It is observed that therelative risk of occurrence is mine specific. The limbs are the mostvulnerable parts of the body causing highest number of man-days lost.

Risk Analysis and Rescue Operation for Machine Roomless
Lift: A Case Study
Choo Yong Lee1, Chin Huat Lim2
1
Robert Bosch Sdn. Bhd., Malaysia
2
Shinyou Elevator Manufacturing Sdn. Bhd., Malaysia

We analyze potential risks of machine roomless lift at system designlevel by evaluating risk rate (R) which is a combination of occurrence (O)and severity of specific risk (S). Risks during installation, testing andcommissioning of lift, maintenance and rescue operation which might
endanger life of person are considered. Our study include identify risk,
determine risk rate and formulate control measure to reduce risk rate toacceptable value by applying extensive field experience and soundengineering know how in lift system. We also develop comprehensive
rescue operation flow which would be useful guide for generic MRL
system design as there are no much literatures in this topic.

Modeling of Tolerable Repair Time Without Affecting
System Reliability

Aishwarya Mishra, Pranab Murari, Sanjay Kumar Palei, Suprakash Gupta
Indian Institute of Technology (B.H.U), India

Ideally, it is assumed that a system fails as soon as one of its
components connected in series has failed. However, in many
real-world system configurations do not allow the system failure
immediately when a fault or component failure occurs, rather its
reliability falls down at a faster rate, and soon the system fails
prematurely. If the fault is rectified or the failed item is repaired withina specified time limit, system reliability curve is restored to its normal
decreasing trend. The time gap, between the failure of a component or
occurrence of a fault and the repair of the component or rectification ofa fault so that no system failure, is observed and it is very importantthat the system reliability decreases at its normal rate. This allowable
time gap can serve a guiding tool to the maintenance policy andmanagement decisions. This paper proposes a reliability andmaintainability based approach for calculating the grace period,
commonly known as the tolerable repair time of a system component.
The proposed model has been demonstrated for a belt conveyor system,
used for transportation of mineral in the mines. The allowable repair
time of the idler of the belt conveyor system was calculated using the
cumulative failure distribution function.

66

Session
Date
Time
Room
Chairs

Production Planning & Control II
11/12/2014
11:00 - 12:30
CancunAhmed El-Bouri, Bholanathsingh Surajbali

Planning and Scheduling across the Supply Chain:
Simulation-based Validation of the Unitary Structuring
TechniquePremaratne Samaranayake1, Senevi Kiridena2, Dalin Cai2
1
University of Western Sydney, Australia
2
University of Wollongong, Australia

Despite long-standing and ongoing research efforts, integration ofplanning and scheduling across the supply chain continues to be amajor challenge. Limitations of the existing advanced planning systems
in this regard have been widely cited in literature. This paper presents
the results of the simulation-based validation of an alternative
framework that addresses these limitations. The proposed framework,
which is based on the â€�unitary structuring techniqueâ€™ was shownto have the functionalities required to deal with simultaneous planningof materials and resources, dynamic forward planning of activities andfinite capacity loading of resources. However, to demonstrate therobustness of this framework, future research should focus ondeveloping and testing a wider range of scenarios and incorporating
more complex supply chain applications.

Optimal Planning of Biodiesel Supply Chain Using a Linear
Programming Model
Maryam Valizadeh, Syafiie Syafiie, I.S. Ahamad
University Putra Malaysia, Malaysia

This paper presents a method for improvement of economic
performance of biofuel supply chain. A mathematical model is
proposed for optimal planning of biofuel supply chain in order tominimize the total operational costs. The model is linear and takes into
account the availability of feedstock and biorefineries and determines
the optimal schedule for harvesting and transportation of biomass
feedstock, biodiesel production and distribution over the planninghorizon. The model is applied to a case study for production of
biodiesel from palm oil and jatropha in Malaysia.

A Simple Multiple Objective Linear Programming Model on
Customization Manufacturing for Metal Steel Making
EffectivenessEarl-Juei Wang1, Chin-Shih Tsou2
1
National Pingtung University of Science and Technology, Taiwan
2
National Taipei University of Business, Taiwan

Metal steel making currently faces the trend of customization and batch
production resulting in difficulties of cost control. This study develops
a simple multiple objective linear programming (MOLP) method toformulate a manufacturing decision model with cost minimization forsteel making procedures. Operations data collected frommanufacturing procedures were accordingly transferred into the modeland therefore manufacturing decisions can be made. Cost factors
considered in the model were materials, outsourcing, manufacturing,and manpower. To make the model more applicable, costs related torework and overtime were also included. In consideration of energy
consumption, the proposed model was formulated as minimizing two
objectives of total cost and energy use.

67

Mixture of Two Different Scheduling Policies in a Class ofDiscrete Event Systems
Hiroyuki Goto, Hajime Yokoyama
Hosei University, Japan

This research develops a scheduling framework for a class of discrete
event systems. We use max-plus algebra for formulating the constraintsof target systems. Two types of scheduling policies can coexist within asingle job in the framework. One policy focuses on cases whose
precedence relations of tasks can be represented by a directed acyclic
graph, whilst the other policy the relative start and completion times
can be represented by a strongly connected graph. These two policies
have been handled in different frameworks heretofore, and thisresearch thus aims to unify these without introducing a new construct
for specifying required parameters.

A Cloud-based Approach for Collaboration ofServiced-enhanced Products

Bholanathsingh Surajbali, Adrian Juan-Verdejo, Holger Baer, Spiros Alexakis,
Gerald Hübsch, Markus Bauer
CAS Software AG, Germany

The rise of cloud computing is radically changing the way Small andMedium Enterprises (SMEs) manage their information technology
assets. In order to provide innovative services, association of SMEs' canstrategically join their competencies to respond to business andcollaboration opportunities. In this paper we focus on exploring thepotential of utilising cloud computing to support a goal-oriented
collaborative network by allowing organisations to collaborate on
products and services in real-time. Furthermore, we believe ourapproach will enable organisations to collaborate on emergence of new
products, and new services bringing together stakeholders to develop
ideas and concepts that leverage to increase product and service
innovation.

Session
Date
Time
Room
ChairsHuman Factors II
11/12/2014
13:30 - 15:00
CancunPerminderjit Singh, Chien-Sing Lee

Selecting a Shift System Based on the Analytical Hierarchy
Process

Alexander Rannacher, Susanne Mütze-Niewöhner, Christopher M. Schlick
RWTH Aachen University, Germany

In the age of 24 hours a day, 7 days a week business it happens more
often, that companies hire experts on working time, whose task it is todevelop a new company-specific shift system. As a new shift system
usually entails not only advantages but also disadvantages, often
several new alternative shift systems are elaborated. Subsequently apanel of representatives of employers and employees are faced with thechallenge to choose the "right" alternative. On the basis of a case study
this paper exemplarily describes, how a good decision-making basis forthe selection of a suitable shift system can be generated by applying theAnalytical Hierarchy Process.

Differentiated Customer Needs’ Analysis for User
Experience

Danilo Marcello Schmidt, Josu Urquidi Guerrero, Ioanna Michailidou, Udo
Lindemann
Technical University of Munich, Germany

The identification of attributes attractive for users is essential for
creating a positive user experience with a product. For this, Kano’s
method classifies customer needs into different categories. Besides theattractiveness, the attribute’s importance for the customer might be also
relevant for User Experience. Thus, we combine Kano’s method and theconjoint analysis for the identification of attributes, which are attractive
and important for the user. Using this methodology, we are able toselect the more favorable attribute of two attributes, which reached thesame result in Kano’s method. Furthermore, we apply this methodology
on charging systems for electric vehicles as a case study. The results ofthe case study revealed the benefits of applying the methodology inanalyzing customer needs.

Deriving the Relationship Between User Satisfaction on
Engine Sounds and Affective Variable Sets Based on
Classification Algorithms
Wonjoon Kim, Gawon Kim, Yushin Lee, Myung Hwan Yun
Seoul National University, South Korea

This study aims to extract the most relevant set consisted of affective
variables to the level of user satisfaction on engine sounds usingclassification algorithm. The affective variables for engine sounds were
defined by three axes, and two classification algorithms were used todetermine the prediction accuracy for those affective axes. The study
was consisted of three phases: 1) collecting affective variables, 2)preprocessing of engine sounds and experiment design, and 3) analysisof the most relevant sets of affective variables to user satisfaction. As aresult, PA (Powerful-Affective) variable set showed the highest
prediction accuracy of user satisfaction compared to other sets.
Predicting the level of satisfaction based on classification algorithm
could help to generalize the relationship between user satisfaction andaffective variables more easily, beyond the limitation with a small sizeof subjects.

Gesture Interface Appropriateness Analysis on Smart TV
Functions
Jaehong Lee, Byungki Jin, Soo-chan Jee, Jiyoon Han, Myung Hwan Yun
Seoul National University, South Korea

The aim of this study is to examine the types of commands areappropriate to gesticulate when controlling a smart TV. The experiment
was conducted to see the relationship between ‘gesture-appropriate
score’ and ‘function variables’. For the experiment, eighty-sevencommands of smart TV were extracted and three function variables(‘frequency’, ‘depth’, ‘type’) were selected. Also, the levels of eachfunction variable were classified. Gesture-appropriate scores weresignificantly different between the levels of each function variable. The
optimal levels of each function variable were suggested by conducting
conjoint analysis. From the results, we found that high frequency level,
low depth level, navigation/move type functions were preferred as a
gesture interface. With the results of this research, the gesture interface
designers are able to consider the priority of function variables fordesigning gesture interface.

Employee Involvement and Training in Environmentally
Conscious Manufacturing Implementation for Indian
Manufacturing Industry
Perminderjit Singh1, Kuldip Singh Sangwan2
1
PEC University of Technology, India
2
Birla Institute of Technology and Science, Pilani, India

Employee involvement and employee training are most important andvital principles for the successful implementation of any newer
manufacturing system or modern practice in any organization because
the newer systems/practices require changed roles for people at alllevels. The general human tendency to resist change understoodproperly may lead to dysfunctional implementation of newer
systems/practices. Environmentally conscious manufacturing (ECM)
being a new paradigm in manufacturing requires the changed roles for
employees. The management must have measures to convince theshareholders that the plan to implement ECM has taken care of changed
roles of people. This paper identifies the employee involvement andemployee training measures for the successful implementation of ECM.
The identified measures have been validated by a case study of Indianlarge scale enterprises. The measures identified from the literature havebeen validated by using SPSS for Windows statistical tool. The
reliability and validity of the data has been assessed by the Cronbachalpha and factor analysis respectively. The results provide sureevidence that the identified measures are highly reliable and valid.

A Toolkit Based on NK Fitness Landscape for Behavioral
Investigation in Complex Supply Chains
Ilaria Giannoccaro
Politecnico di Bari, Italy

This paper provides a toolkit based on NK fitness landscape to model
complex supply chains and to carry out behavioral research analyzing
the impact of decision makersâ€™ behaviors on supply chain
management. Whereas this methodology has been largely applied inorganizational studies, very few applications exist in supply chain
contexts. Main research questions that could be addressed by means of
the proposed methodology are also outlined.

68Session
Date
Time
Room
ChairsIntelligent Systems II
11/12/2014
15:30 - 17:00
CancunSamreen Amir, Chin Yuan Fan

A Priority Based Optimization Algorithm for Multi-objective
Integrated Process Planning and Scheduling Problem
Muhammad Farhan Ausaf, Xinyu Li, Liang Gao
Huazhong University of Science and Technology, China

Process planning and scheduling are two fundamental elements of amodern manufacturing system. Their effective integration is very
important for increasing productivity and overall efficiency of amanufacturing system. Given that a single objective cannot effectively
describe real world problems and numerous key parameters must be
considered by decision makers to determine the performance of amanufacturing system, multi-objective optimization is important for
integrated process planning and scheduling (IPPS) problem. In thispaper a priority based optimization algorithm is presented for
multi-objective optimization of IPPS problem. The algorithm uses apriority based mechanism, inspired by use of dispatching rules, toeffectively guide the search towards Pareto optimal points for a
multi-objective IPPS problem. An external archive is used to store thenon-dominated solutions. The proposed algorithm has been tested forthree different instances presented in recent literature. Experimental
results suggest that the proposed algorithm is quiet capable ofproducing improved solutions.

The Knowledge Sharing Model on Supply Chain Simulation
Using Recurrent Neural Network
Fumiaki Saitoh
Aoyama Gakuin University, JapanThe bullwhip effect is one of the most important problems on the
supply chain management. It is a phenomenon that fluctuation indemands increases on upstream of supply chain. Inaccurate demand
forecasting accompanying lack of communication is well known as acause of bullwhip effect. Nevertheless, there is almost no sufficientargument on the influence of the bullwhip effect on demand forecasting
through communication with business contacts. In this paper, we
propose the framework and simulation model of supply chain system
based on demand forecasting through communication with businesscontact. Here, the simulation model was constructed by modeling about
the past transaction data as knowledge sharing with business contacts'
company. Recurrent neural network that is excellent in time-series
prediction was used for demand forecasting in this simulation. We
confirm the effectiveness of our proposal through comparative
experiments using inventory management simulation on conventionalmodels and on proposed model.

Implementation of Line Tracking Algorithm using Raspberry
Pi in Marine Environment
Samreen Amir1, Ali Akbar Siddiqui2, Nimrah Ahmed2, Bhawani Shankar
Chowdhry3
1
Hamdard University, Pakistan
2
Sir Syed University of Engineering & Technology, Pakistan
3
Mehran University of Engineering & Technology, Pakistan

In recent days it is necessary to maintain continuous surveillance ofunderwater transmission lines or oil pipelines. For such purpose, we
require an underwater vehicle rover capable of tracking these wires orpipelines and detect the fault if it occurs. For this purpose we havedesigned an intelligent quad leg rover. Image processing as a key
deployed for tracking and tracing the fault or damage. Hough’s
Transformation is used for the detection of the wire, and thresholdlevels were also set of the underwater environment for vehicle to focus
only on wire. For tracking the transmission lines and proper navigation,
we have used a masking technique. The system is implemented on
Raspberry pi (Broadcom BC2835) as well as Intel Core Processor T7250
to improve and analyze the performance in terms of size and mobility.
The results presented in this paper are simulated on Intel T7250
processor and on raspberry pi. It helps in evaluating the response timeof the raspberry pi when compared to any other processors in terms ofcomputation and robustness.

69

Physical Layer Design of Optical Networks with Practical
Considerations

Kin Fan Poon1, Anis Ouali1, Beum Lee2
1
Khalifa University of Science, Technology and Research, United Arab Emirates
2
Etisalat British Telecom Innovation Centre, United Arab Emirates

Nowadays, many telecom operators consider fiber-based accessnetworks as a major solution to provide bandwidth hungry services
such as High Definition TV over IPTV, online gaming, video streaming,
high speed Internet, etc. However, today's telecom market is facing
tough competitions with very tight budget and limited humanresources. Return on investment for the deployment of new networks
or transformation of legacy networks to fiber-based networks need to be
maximized. One way to minimize the capital expenditure (CAPEX)
costs is through automation of the network design. Not only can it
reduce the time and the cost of manual design but it can also optimize
the design with a minimum cost. In this paper, our network planningsystem based on the mixed integer linear programming (MILP)
approach is proposed with the main focus on solving practical scenarios
which are related to design constraints with clear boundaries ofplanning areas. Advantages of having clear boundaries from thepractical point of view are discussed in detail and the model to solve
this problem is provided.

Developing Target Marketing Models for Personal Loans
Jen-Ying Shih1, Wun-Hwa Chen2, Yu-Jung Chang3
1
National Taiwan Normal University, Taiwan
2
National Taiwan University, Taiwan
3
Academia Sinica, Taiwan

Personal loan marketing is a critical decision for a commercial bank’s
development of its consumer finance business in Taiwan because thisbusiness comprises majority of the bank’s revenues. Efficiently andeffectively reaching customers who have a high level of intention toborrow money is an important goal of banks in such marketing
campaigns. The purpose of this research is to assist a commercial bankin developing a marketing model for estimating customers’ intention to
apply for personal loans from a market segment of customers who has
already used the other banks’ revolving credit of credit cards and arethus considered as potential customers for personal loans. Data mining
techniques, including logistic regression, decision tree, neural networks,
and support vector machines, are adopted in the model development.
This research yields some interesting findings and demonstrates theeffectiveness and efficiency of data mining in developing target
marketing models for commercial banks.

Developments and Trends in Shopfloor-related ICT Systems
Olaf Sauer
Fraunhofer IOSB, Germany

Features of shopfloor-related ICT or manufacturing execution systems
are and will remain indispensable even in Industrie 4.0 â€“ the industry
after the forth industrial revolution. In practical operations, however,managers repeatedly wonder what development trends will appear in
the automation pyramid and how shopfloor-related ICT systems will beenhanced in the future. The presented article will highlight some of the
major trends.

Session
Date
Time
Room

Poster Session
11/12/2014
15:00 - 15:30
Jamaica

A Study on RFID-based Kanban System in Inventory
Management
Alireza Ghelichi, Ahmed Abdelgawad
Central Michigan University, United States

Using technology has been widely expanded in our contemporary
world, Radio Frequency Identification (RFID) is one of the most recent
methods that is widespread through different areas. RFID has multiple
considerable applications with continues advantages such as batch
readability, process capability, resistance to harsh environment andinformation storage. However recent researches are challenging RFID
capability and its advantages in supply chain. In this paper we will go
through multiple of these challenges and study how they can be solved
and turn in to RFID benefits. In addition, we will discuss the inventory
management and its importance for a firm and we will showhow RFID
technology can be used there. Moreover,we will introduce a study
about application of RFID on Kanban inventory approach. This study
will evaluate the opportunity of using RFID-based Kanban inventory
management over two-bin Kanban inventory management.

The Economic Analysis Model of Operations Strategy
Chun-Ying Shen
Chien Hsin University of Science and Techology, Taiwan

Most of the published research employed qualitative methods
regarding a decision of operations strategy. This study attempts to
explain operations strategy selection in terms of the optimal
coordination of interactions among departmental business functions.
This study applies an economic analysis model (EAM) for clarifying thefitness of individual operations strategies. The expected benefits ofcoordinating the cross-function integrations, the benefits of a new
production process, and the opportunity costs of the original process
are considered in this model. The executive manager is authorized todetermine the risk parameter of individual strategies based on theirexpertise and a specific decision environment in the proposed model.
The efficacy of the proposed model is demonstrated throughdiscussion.

Solving an Economic and Environmental Dispatch Problem
Using Evolutionary Algorithm
Forhad Zaman, Ruhul Sarker, Tapabrata Ray
University of New South Wales, Australia

For successful operation of any power system, an effective schedulingof power generation is crucial. In this paper, we consider a powersystem with two types of generators, thermal and hydro. The
characteristics of these generators vary with respect to the cost,emission to the environment, input source, capacity limit, andtechnological constraints. The mathematical model considering two
objectives, such as minimization of the operating cost and minimizationof total emissions, for a hydro thermal system is discussed. A solution
approach has been proposed, based on evolutionary computation
concept, for solving a benchmark problem for both single andbi-objective version of the problem. In the approach, an initial
population of solutions is generated based on a heuristic and the
population is then evolved using two well-known evolutionary searchalgorithms. The solutions of our approaches are compared with anotherapproach from the literature. The analysis of the results reveals that theheuristic enhanced the performance of the evolutionary algorithms
considered in this paper.

Message Sequencing of Rational and Emotional Appeals: A
Study on Consumer Brand and Product Attitudes
Weng Marc Lim, Pei-Lee Teh, Pervaiz Khalid Ahmed
Monash University, Malaysia

Message sequencing is a promising area of research. This study sheds
light on consumer attitudinal responses, namely attitudes toward thecorporate and product brand, by examining the effects of sequencing
rational and emotional appeals in marketing messages. Using abetween-subjects experiment and a stratified random sample, the study
found that using an emotional rational message sequence produces
more favorable product brand attitudes among consumers as compared
to using a rational-emotional message sequence. However, message
sequencing had no significant effects on consumers’ attitudes toward
the corporate brand. Implications, limitations, and future research
directions from the study’s findings are discussed.

A Conceptual Neural Model for Business Selection in Multi
Business Unit Firms
Saeed Khodamoradi, Jalal Abdellahi
Shahed University, Iran

Despite of its importance in the context of corporate portfolio
management (CPM), business selection in multi business unit firms isstill among ambiguous problems because of its sophisticated nature inwhich the effective decision rules are different from one firm, industry
or country to another. Therefore this article tries to address the businessselection problem in corporations by applying a two layer neuralnetworks with sigmoid activation function as a pattern recognition
supervised learning algorithm to recognize business selection patterns
in different firms and make decision for adding or divesting new
business units based on a set of quantitative features. The model trained,
validate and tested and results were indicative that the model isrelatively reliable for using in action.

A study on Developing the Indicators of Energy
Conservation and Carbon Reduction for the Business

Liang-kong Lin1, Walter Den2, Ying-Chyi Chou1, Ching-Hua Lu3, Hsin-Yi
Yen4
1
Tunghai University, Taiwan
2Tunghai Universit, Taiwan
3
National Chiao-Tung University, Taiwan
4Tunghai University , Taiwan

Green House Gas (GHG) emission has become a critical issue for firms
to achieve sustainability. This paper propose an MCDM method
combining Analytic Hierarchy Process (AHP) and Decision-making
Trial and Evaluation Laboratory (DEMATEL) to recognize the crucial
criteria which have dependence and causality. Eighteen criteria of GHG
emission with six dimensions were selected from the literatures andmodified by six experts of energy sector. The results showed that
improve energy efficiency and reduce energy consumption arerecognized to be the most influential dimensions of six. In addition,
identifying the causality between six dimensions provide an insight forpractitioners utilizing firmâ€™s resources in GHG emission more
effectively

Optimal Inventory Policies for Remanufacturing Inventory
Systems with Multiple Returns
Xue-Ming Yuan1, Z. L, Tan2, Amrik Singh Bhullar1
1Singapore Institute of Manufacturing Technology, Singapore
2
Nanyang Technological University, Singapore

This paper considers a remanufacturing inventory system withmultiple returns, and derives the optimal policies for its inventory
replenishment. To adapt more generic industry applications, dynamic
demands and returns are incorporated into the remanufacturing
inventory system. The results show that the optimal policies are notindependent among classes under certain state conditions. In addition,
we also obtain the transition among the state conditions to give a clear
picture on how the system behaves dynamically.

A New Conceptual Design Approach for Context-aware
Product Service System
Dongping Chen, Xuening Chu, Yuliang Su, Dexin Chu
Shanghai Jiao Tong University, China

Smartphone with the ever increasing capacity and processing power
provides a natural and ubiquitous platform for personalized intelligent
services. Conceptual design plays an extremely crucial role in theprocess of smartphone service system development. Due to the spatial
and temporal components of smartphone service usage, exiting
approaches cannot support the conceptual design process of
smartphone service system. A uniform conceptual design framework is
proposed based on Axiom Design approach, which consists of customer
domain, function domain and concept domain. UML based task model,
B&P function model, modified service blueprint are introduced
respectively in each domain to support the design process. To cope withtime variance and location sensitivity of customer requirements, a new
analyze method is proposed in three-dimensional space. The
effectiveness of the proposed approach is demonstrated using a casestudy of business district.

Evaluation of Equipment Renewal Based on Combination
Weighting Method
Lei Chen1, Chunqing Wang1, Xuedong Liang1, Zhaoxia Guo1, Da Wang2
1
Sichuan University, China
2
Sichuan Aerospace Industry Group Co., Ltd, China

In view of the problems that the enterprise equipment’s updated anddiagnosis works difficult to be quantified, a new equipment renewal
method is proposed based on the analytic hierarchy process (AHP) andvariation coefficient method. The indexes weight is determined by a70

combination weighting way; furthermore, the fuzzy comprehensive
evaluation method is introduced to analyze and calculate the portfolio
weights and evaluation grades. Case study validates the effectiveness
which is beneficial for equipment renewal management.

Applied Cognitive Psychology in Software Debugging
Process to Predict Software Reliability Growth
Kuei-Chen Chiu
National Cheng Kung University, Taiwan

This study applied cognitive psychology in software testing/debugging
process to predict software reliability by the time lag between
error-detection and error renovation. This paper integrates the SRGMsof Chiu et al. using the time-varying learning effects [2] to measure theperformance of error-detection and error-renovation in a software
testing/debugging project for the data sets in Huang & Hung [8], thisstudy also figure out the time lag between error-detection anderror-renovation with time-varying learning effects and predict
software reliability growth by the time lag. According to the results, thesoftware testing/debugging managers can master the remaining time toremove errors and lift software reliability to the goal ahead of time
based on errors-detection rate by improve learning effects. The results
will help software system testing/debugging managers to shorten
software testing time, save testing time, dominate the market byreleasing software system ahead of time, and manage the software
testing/debugging process more efficiently.

Assessing Survivability for Damaged Aircraft in the Combat
Environment
Yang Pei1, Tao Cheng1, Min Xie2
1
Northwestern Polytechnical University, China
2City University of Hong Kong, Hong Kong SAR

Recently, much effort has been devoted to the study of aerodynamic
performance analysis for the damaged aircraft. Sometimes, we are moreconcerned about the specific value of survivability of damaged aircraft,which allows the analysts to plan combat operations. How to relate
aerodynamic performance degradation to survivability when theaircraft is damaged is important for military operation research. In thisstudy, the maximum level flight velocity and one-on-one encountermodel serve as the bridge combining aerodynamic computation andsurvivability analysis together, an integrated survivability model ofdamaged aircraft is proposed. Two examples are provided to illustrate
how the damaged wing affects the survivability of an aircraft. The
proposed method is an attempt for quantitatively describing therelationship of aircraft survivability with the battle-induced damages
affected by attach angel, flight altitudes, etc.

An Efficient Genetic Algorithm for Flexible Job-Shop
Scheduling Problem
Ali Mokhtari Moghadam, Kuan Yew Wong, Hamed Piroozfard
Universiti Teknologi Malaysia, Malaysia

In this paper a genetic algorithm (GA) is developed to create a feasible
and active schedule for the flexible job-shop scheduling problems withthe aims of minimizing completion time of all jobs, i.e. makespan. In the
proposed algorithm, an enhanced solution coding is used. To generatehigh quality initial populations, we designed an Operation order-based
Global Selection (OGS), which is taken into account both the operation
processing times and workload of machines while is assigning amachine to the operation which already is ordered randomly inchromosome operation sequence part. The precedence preserving
order-based crossover (POX) and uniform crossover are usedappropriately and furthermore an intelligent mutation operator is
carried out. The proposed algorithm is applied on the benchmark data
set taken from literature. The results demonstrated efficiency andeffectiveness of the algorithm for solving the flexible job shop
scheduling problems.

A Integrated Inventory Model with Imperfect Production
and Inspection Under Trade Credit Financing
Chia-Hsien Su1, Liang-Yuh Ouyang2
1
Tungnan University, Taiwan
2
Tamkang University, Taiwan

In this paper we develop an integrated inventory model with imperfectproduction and inspection process under two-level trade credit strategy.
We assume both manufacturer and retailer adopt the marketingstrategy of transactions on credit. Consumers’ demand is affected by thelength of credit period provided by retailer. The impact of imperfectproduction quality and inspection errors is incorporated in this paper.
Mathematical models have been derived for obtaining the optimal
solution so that the annual total profit is maximized. A numericalexample is given to illustrate the results developed in this paper.

71

Least Cost Design of Green Buildings by Genetic Algorithms
Kang-Ting Tsai, Min-Lun Lyu, Min-Der Lin
National Chung Hsing University, Taiwan

In order to keep pace with the trend of "sustainable development",“green building” has become an important design concept in theconstruction industry. However, the envelope forms and materials of agreen building are usually chosen based merely on the architects’
experiences instead of on a systematic assessment method. This study
employs genetic algorithms to find the least-cost designs for building
shells which meet the requirements of a daily energy conservationindex. The results show that genetic algorithms can successfully
optimize the shell designs, and may be a useful tool for green building
designs.

Performance Analysis of Autonomous Vehicle Storage andRetrieval Systems Depending on Storage Management
Policies
Sascha Kaczmarek, Jonas Goldenstein, Michael ten Hompel
TU Dortmund, Germany

This paper deals with the influence of storage management policies on
the performance of autonomous vehicle storage and retrieval systems(AVS/RS). Strategies like cross storage, access frequency based
strategies, as well as path optimized and first in first out strategies wereanalyzed by using an AutoModTMbased simulation model. For eachstrategy the vehicle selection strategy was varied to identify existing
interactions between the two sets of strategies. The physicalcomponents were not changed throughout the simulation study, except
for the amount of used vehicles. The simulation results were analyzed
with the aim of obtaining universally valid statements on the systembehavior. The conclusion is that immense performance effects can beachieved by intelligent control of AVS/RS without changing thephysical configuration. The increase in performance can be generated
by several individual effects. Therefore, the design of each autonomousvehicle storage and retrieval system needs a by-case examination.

Integrating Fuzzy Logic to Systems Dynamics for Decision
SupportIfeyinwa Orji, Sun Wei
Dalian University of Technology China, China

Globally, supply chains compete in a complex and rapidly changing
environment. Hence, sustainable supplier selection, an operation ingreen manufacturing environment has become a decisive variable in thefirm’s financial success. A major problem in sustainable supplierselection is not only to select sustainable suppliers but to insure
suppliers maintain their behavior for a long period of time. Thisrequires reliable tools and techniques to select the best sustainablesupplier and enhance understanding about how supplier behavior
evolves with time. System dynamics (SD) is an approach to investigate
the dynamic behavior in which the system status alterations correspondto the system variable changes. Thus, this work presents a novel
modeling approach of integrating information on supplier behavior infuzzy environment with SD simulation modeling technique which
results in a more reliable and responsible decision support system.

Effect of Inspirational and Motivational Leadership on
Creativity and Innovation in SMEs
Wilson Maladzhi1, Bingwen Yan2
1
University of South Africa, South Africa
2Cape Peninsula University of Technology, South Africa

The purpose of this study is to identify the effects of inspirational andmotivational leadership on creativity and innovation in South African
Small and Medium Enterprises (SMEs). The leadership issues have beenof major concern since the inception of democracy in 1994. Recent years,
the spirit of creativity and innovation is suppressed and innovation
culture is greatly affected among SMEs. It is critical for leaders to
inspire and motivate employees to contribute new ideas and become
more productive. A survey research was conducted from a group of
employees (n1=366) and leaders (n2=57) within 50 SMEs in the Western
Cape. A hypothetical model with the emphasis on inspirational andmotivational leadership characteristics is developed. The findings
indicated that the leaders did not fully show their inspirational andmotivational capabilities and they disagreed with employees on
empowerment, rewards for creativity, and support mechanism.

In Search of Measuring Organizational Culture: ICT
Peculiarities
Maria Kütt, Mait Rungi
Tallinn University of Technology, Estonia

Organizational culture is an unambiguous term with long history, but
without clear definition. There exists plurality of models, all of whichare rather old. The goal of this paper is to test the appropriateness ofthese mainstream models in contemporary business setting - in context
of two ICT companies of Estonia, an innovation oriented small
European Union country. As a result, the usefulness of the models isfound to be industry-dependent. Not all models are found to be equallysuitable for ICT. Goffee and Jones model is most suitable by bringing
out most differences between companies. Harrison and Stoke's model isnext with Cameron and Quinn's model being the least suitable.

Investigating Factors Behind Choosing a Cryptocurrency
Aamna Al Shehhi, Mayada Oudah, Zeyar Aung
Masdar Institute of Science and Technology, United Arab Emirates

This paper aims to address two challenging questions: "What are thebases on which online users choose to use and/or mine theircryptocurrency?" and "Which factors strongly affect the coin's
popularity and value?" We try to answer these two questions for eightchosen cryptocurrencies by conducting an online survey. Results
obtained from the online survey indicate that more than half of theparticipants believe that the currency name and logo affect the choice ofusing and/or mining a cryptocurrency. Moreover, the majority of theparticipants stated the ease of mining, having strong, fun and large
community along with anonymity, privacy, and the currency's value,
popularity, potential and technology as advantages of the currencies
they choose to use and/or mine. These results help in observing thepeople behavior and predicting how successful and promising acryptocurrency might become in the future.

Model of Human Reliability for Manual Workers in
Assembly Lines
Yolanda Báez1, Manuel Rodríguez2, Jorge Limon1, Diego Tlapa1
1Autonomous University of Baja California, Mexico
2
Ciudad Juárez Institute of Technology, Mexico

This study presents the construction of a human reliability model for
assembly line manual workers, using CoxÂ´s Proportional Risk model.
Nine factors were identified in 120 assembly line operators using
psychometric tests. Subsequently, the factors of stress, motivation,
memory, and personality were identified, using a multiple linear
regression analysis, as those that significantly contribute to theoccurrence of human error and, together, are considered as the workers
operational environment. The parameters were defined for the
distribution of base failures for modeling the rate of human risk. The
model obtained enables the establishment of the contribution of eachfactor to the probability that human errors will be committed within adetermined period of time.

Influence of Online Store Belief and Product Category on
Impulse Buying: An Empirical Investigation on Consumer
Perceptions
Qiong Zhou1, Xi Chen1, Yi-Wen Chen2
1
Institute of Psychology, Chinese Academy of Sciences, University of Chinese
Academy of Science, China
2
Institute of Psychology, Chinese Academy of Sciences, China

The influence of online store belief and product category on impulse
buying was investigated in this study through empirical research. Pathanalysis technologies were applied to evaluate the research model
based on the survey. The results showed that the consumer impulse
buying for both hedonic and utilitarian products was influenced by the
online store belief. This study will provide theoretical data base forpractical application.

Exploring Effects of Ecosystem Clockspeed on Product
Performance
Saku Mäkinen1, Ozgur Dedehayir2, Roland Ortt3
1
Tampere University of Technology, Finland
2
Leiden University, Netherlands
3
Delft University of Technology, Netherlands

The performance of any technological system is dependent on theperformance of its subsystems. In particular, the evolution of the entire
technological systems performance is determined by the performance
improvements in deficient sub-systems. In this paper, we extend earlier
notions of clockspeed measurement [6, 7] in our examination of theevolutionary dynamics of technological systems. We study the time lagin reverse salience improving the overall system performance and its
relation with subsequent product performance. Our empirical study ofthe product performance investigates the product performance of thePC (personal computer) games. Our findings suggest that the evolutionof the PC technological system with respect to computer gaming
function is losing forward momentum on the processing speed
performance front, while maintaining momentum on the graphics
performance front.

Impact of Lean Development System Implementation on the
Product Development Process
Uwe Dombrowski, Kai Schmidtchen, Philipp Krenkel
Technische Universität Braunschweig, Germany

Enterprises react to changing conditions in product development with
the implementation of Lean Development Systems. Lean offers aguideline for eliminating waste and increasing customer value in allprocesses. In particular Lean development has been introduced to
improve efficiency, effectiveness and the skills of staff and organization
within product development. Enterprises like Toyota, which develop
and work according to lean principles, are able to develop products insignificant shorter time-to-markets with higher quality and lower costs.
However, implementing Lean causes remarkable changes in productdevelopment. To identify these changes the impact of lean development
principles on phases and cross functions of the product development
process is examined. Based on literature research the impact isevaluated by means of a three-stage-process. Afterwards results are
summarized and rated. To conclude, measures concerning future
actions are outlined based on the previous rating.

Internet-of-things Disrupting Business Ecosystems: A Case
in Home Automation
Saku Mäkinen
Tampere University of Technology, Finland

The paper presents a case study of Internet of Things (IoT) technology
application and its disruptive nature on the business ecosystem. The
disruptive nature of changes is analyzed with identification of changes
incurred to the business ecosystem as IoT is introduced to themarketplace. The results of a case analysis exemplify how businessecosystems are changing due to opportunities provided by IoT.

Postural Load Balancing in Daily Personnel Planning in an
Assembly Line for Trailer Production by Working Posture
Analysis
Christopher Brandl, Alexander Mertens, Jennifer Bützler, Christopher M.
Schlick
RWTH Aachen University, Germany

In this industrial engineering study working postures of 57 workers in
an assembly of a trailer manufacturer were analyzed according to the
OWAS method and its extension to head postures. For eight especiallystressful work tasks 19714 body postures were analyzed. Overall theworking posture analysis identified a largely acceptable postural load.
A significant influence of the work task on relative frequencies of
posture categories and work posture combinations assigned to the sameaction category was found. Differences in working postures within thesame work task could be identified. Finally it is shown that the
conducted work posture analysis can help to improve the stresssituation of workers through postural load balancing.

An Enterprise System Virtual Factories Platform for
Collaborative Business Environment
Yuqiuge Hao, Ahm Shamsuzzoha, Petri Helo
University of Vaasa, Finland

In order to make sure small and medium enterprises (SMEs) can adapt
them with competitive business environment globally and fulfil
business requirements of new products or services, SMEs form a VirtualEnterprise to collaborate with each other's. Different enterprises aligntogether to overcome various critical challenges such as resources andexpertise while concentrate on their own core competencies. Virtual
Factories (VF) is one form of collaborative networks within the
manufacturing domain, where the communication between its
members are orchestrated through ICT-enabled infrastructure. In thissituation, collaborative networks demand an advanced information
management system with the objective to share valuable knowledge
and expertise. With the purpose to fulfil all business requirements andto support collaborative activities, an Enterprise System is designed as aplatform to implement virtual Factories business environment. This
platform enables different factories to meet their business targets andprovides a single point for all factories to access the real time
manufacturing and products information. This research offers asignificant methodology to improve manufacturing processes andincrease the ability to share information across different networked
factories.

Factors Affecting Product Quality and Reliability: A
Comparison of Developed and Developing Countries
Pei-Lee Teh1, Dotun Adebanjo2, Pervaiz Khalid Ahmed1
1
Monash University, Malaysia
2
University of Greenwich, United Kingdom

Increasing global competition has led to the need for organisations to72continually improve their quality performance. In particular,
developing countries such as China are focused on catching up withmore developed countries. This study examines the relationships
between improvement in three factors (health and safety conditions,worker motivation and satisfaction, work/life balance policies) inincrease in product quality and reliability in developed countries. Basedon a questionnaire, the study shows that improvement in health andsafety conditions have a significant direct impact on increase in productquality and reliability while improvement in work/life balance do nothave the same effect.

Towards Recursive Plan-Do-Check-Act Cycles forContinuous Improvement

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

Continuous improvement as the cornerstone of greatly successful
management approaches such as lean, Total Quality Management or Six
Sigma requires a systemic perspective when being implemented incomplex organizational contexts. This paper presents an additionalview of continuous improvement and its implementation procedures
such as PDCA based on the Viable System Model (ViSM). With its
underlying cybernetic principles, the ViSM provides a theoretical basis
for a recursive application of PDCA cycles throughout an organization,
both in a top-down- and a bottom-up manner, which serves as afoundation for implementation support of continuous improvement incomplex organizational contexts.

73Author IndexA
AB HALIM, Huda Zuhrah p.55
ABD, Khalid p.38
ABDELGAWAD, Ahmed p.70
ABDELGHANY, Mohammed p.65
ABDELLAHI, Jalal p.70
ABDELMAGUID, Tamer p.30
ABDELRASOL, Zakaria p.29
ABDUL KADIR, Aini Zuhra p.56
ABDUL RAHIM, Abdul Rahman
p.65
ABDULLAH, Rusli p.35
ABDULLAH, Salfarina p.35
ABHARY, Kazem p.38
ABRAHA, Haftay Hailay p.66
ABU, Noor Hidayah p.32
ACHOUR, Zied p. 34, 53
ADEBANJO, Dotun p.33, 72
AGHAZ, Asal p.60
AGRAWAL, Rajeev p.43
AHAMAD, I.S. p.67
AHMAD, Robiah p.65
AHMAD FAUZI, Mohammad
Faizal p.43
AHMED, Nimrah p.69
AHMED, Pervaiz Khalid p. 70, 72
AKILLIOGLU, Hakan p.42
AL KAMALI, Shaima p.31
AL SHEHHI, Aamna p.72
ALBLIWI, Saja p.29
ALDANONDO, Michel p.37
ALENCAR, Luciana p.29
ALEXAKIS, Spiros p.67
ALIDRISI, Hisham p.44
ALMEIDA, Adiel p.29
ALQASSEM, Israa p.66
ALSYOUF, Imad p.31
AMDEE, Noppadol p.49
AMIR, Samreen p.69
AMRINA, Elita p.61
ANG, Andy p.47
ANTONY, Jiju p.29
AOYAMA, Atsushi p.35
APPIYAH, Amrutha p.45
AQAMOHAMMADI, Amir Reza
p.46
ARBAIY, Nureize p.44
ARIFFIN, M. K. A. p.50
ARSHED, Norin p.29
ARUNCHAI, Thongchai p.49
ASHARI, Hasbullah p.48
AUNG, Zeyar p.72
AUSAF, Muhammad Farhan p.69
AYDIN, Ridvan p.27
AYELE, Yonas Zewdu p.43
AYU, Astrid p.51
AZFANIZAM, A. S. p.50
AZMAN, Amir Farid p.31

B
BABOLI , Armand p.56
BAER, Holger p.67
BÁEZ, Yolanda p.52, 72
BAI, Lianxi p.49
BALACHANDRA, Patil p.46
BARABADI, Abbas p.43, 49, 50
BARABADY, Javad p.43
BARBOZA, C. Z. p.29
BAROSO, Pablo p.40
BASHIRI, Mahdi p.55
BATON, Bachir p.65
BAUER, Markus p.67
BAUMANN, Philipp p.42
BÄUMERS, Yvonne p.42
BEGOVIC, Advan p.59
BEHNCKE, Florian G. H p.45
BELLO, Abdulkadir Kolawole p.61
BENLAHBIB, Boualem p.65
BHATTACHARJEE, Kalyan
Kumar p.58

BHATTACHARYA, Arya K
p.43
BHULLAR, Amrik Singh p.40,
47, 70BÖHMER, Annette p.37
BOTTA-GENOULAZ, Valerie
p.56
BOUARROUDJ, Noureddine
p.65
BOUCHAFAA, Farid p.65
BOYER, Omid p.50
BRANDL, Christopher p.72
BT. YUNUS , Robiah p.65
BUEHLMANN, Urs p. 34, 57
BURGGRÄF, Peter p.42
BÜTZLER, Jennifer p.72

C
CAI, Dalin p.67
CAI, Zhiqiang p.63
CAO, Yan Kaily p.53
CARBONARA, Nunzia p.54
CARBONE, Giuseppe p.65
CECELJA, Franjo p.60
CHALOUPKA, J. p.63
CHAMCHOD, Farida p.39
CHAN, Edmund p.46
CHAN, Hing Kai p.45
CHAN, Kai-Ying p.31, 61
CHANG, Kaiyuan Kevin p.53
CHANG, Shou Hao p.61
CHANG, Yu-Jung p.69
CHATWIN, Chris p.62
CHAWLA, Puneet p.60
CHE PA, Noraini p.35
CHEN, Chin-Fu p.44
CHEN, Dongping p.29, 57, 70
CHEN, Lei p.70
CHEN, Nan p.52
CHEN, Shin-Guang p.27
CHEN, Songlin p.27
CHEN, Tsung-Yi p.58
CHEN, Wun-Hwa p.69
CHEN, Xi p.72
CHEN, Xiao-li p.55
CHEN, Yi-Wen p.72
CHEN, Yuh-Min p.58
CHENG, Hsiang-Jui p.59
CHENG, Ming-Sian p.62
CHENG, Tao p.71
CHENG, Wai Kit p.31
CHENG, Yalong p.57
CHENG, Yuan p.50
CHEONG, Dianne Lee-Mei
p.38
CHIA, Sie Yong p.39
CHIBA, Eishi p.30
CHIDAMBARAM,
Ramanathan p.40
CHIEN, Te- King p.40, 62
CHIEN, Weiting Kary p.53
CHIMMALEE, Benjamas p.39
CHIOU, Chuang-Chun p.56
CHIU, Kuei-Chen p.37, 71
CHOI, HaeJin p.28
CHONG, Kuan Eng p.52
CHONGSTITVATANA,
Prabhas p.38
CHOO, Bennie Seck-Yong
p.28
CHOU, Jui-Sheng p.64
CHOU, Ying-Chyi p.70
CHOWDHRY, Bhawani
Shankar p.69
CHU, Chih-Hsing p.41, 57
CHU, Dexin p.29, 57, 70
CHU, Xuening p.29, 57, 70
CIOFFI, Matteo p.57
CLEMENTE, Tharcylla p.29
COGNINI, Riccardo p.45
CORRADINI, Flavio p.45

COSTANTINO, N. p.54
COUDERT, Thierry p.40
CREEMERS, Stefan p.40
CUI, Jianshuang p.53

D
DAFAOUI, El Mouloudi p.50
DE SMET, Yves p.43
DE VINCENZO, Ilario p.65
DEDEHAYIR, Ozgur p.72
DEHGHAN, Sara p.35
DEKKERS, Rob p.34
DELLAGI, Sofiene p.53
DEN, Walter p.70
DENG, Y. X. p.56
DERMITZAKIS, Manos p.46
DEUTSKENS, Christoph p.58
DIEPOLD, Klaus p.45
DJAUHARI, Maman
Abdurachman p.31, 53, 64
DOMBROWSKI, Uwe p.72
DOULATABADI, Mehran
p.52
DUCHI, Aldo p.57
DUCKWITZ, Sönke p.51
DUMRONGSIRI, Aussadavut
p.51
DUTA, Luminita p.50

E
EDELBROCK, Matthias p.55
EDTMAYR, Thomas p.41
EL-BOURI, Ahmed W. p.42
ELEZI, Fatos p.40, 73
ELMHAMEDI, Abderrahman
p.39, 50ELTAWIL, Amr B. p.29, 30, 47,
65
ENSELEIT, Martin p.65
ERRAY, Walid p.53
ESCOBAR SIERRA, Manuela
p.41
ESHRAGHNIA, Roozbeh p.39
ESMAIL, Essam p.65
ESPINOZA, Omar p.34, 57
ESSAM, Daryl p.33

F
FAN, Chin Yuan p.61
FAN, P. S. p.61
FAN, Wenhui p.36
FARAJPOUR, Farnoush p.54
FENG, Jixuan p.62
FERREIRA, Joao-Dias p.42
FORE, Stanley p.52
FRAN MANSA, Rachel p.31
FRICKE, C p.34
FRIEMANN, Felix p.55
FUKATSU, Sho p.60

G
GALETTA, W. p.52
GAMAGE, Pramila p.50
GAMATA, Devie Ann p.41
GAN, Chin Wei p. 40, 47
GAN, Siew Lee p.53
GAO, Liang p.57, 69
GARCIA, R J. U. p.41
GENESTE, Laurent p.40
GEORGE, Joby p.33
GEPP, Michael p.30, 35
GERDSRI, Nathasit p.35
GERSCHBERGER, Markus
p.55
GHANBARI, Milad p.42

GHEITH, Mohamed p.47
GHELICHI, Alireza p.70
GHOLIPOUR KANANI,
Yousef p.32
GIANNOCCARO, Ilaria p.65,
68
GITINAVARD, Hossein p.45
GOH, Gerald Guan Gan p.52
GOH, Jenson Chong-Leng
p.28
GOLDENSTEIN, Jonas p.71
GONG, Taicheng Kevin p.53
GOPAL KRISHNAN,
Subhashini p.59
GOSWAMI, Suparna p.32
GOTO, Hiroyuki p.30, 67
GOTO, Satoru p.59
GOYAL, Abhinav p.43
GRIGG, Nigel p.34, 50
GUNAWAN, Aldy p.46
GUO, Wen-Tao p.28
GUO, Zhaoxia p.70
GUPTA, Suprakash p.66

H
HABIB, Md. Mamun p.36
HAJIABOLHASANI, Zeinab
Haji p.33
HAJIHA, Ali p. 35, 62
HAMANI, Nadia p.39
HAMDAN, Mohamad
Hisham p.31
HAMDI, Khaoula p.46, 47
HAN, Jiyoon p.68
HAN, Minghong p.63
HANUMAPPA, Devaraj p.29
HAO, Yuqiuge p.72
HARRAZ, Nermine p.29, 30,
47
HASAN, Shamsuriati p.47
HASHIMOTO, Hideki p.60
HASSAN, Mohamad Ghozali
p.48
HASTIE, David p.64
HAYASHIMA, Ken p.60
HAZRA, Jishnu p.33
HELO, Petri p.72
HERMANSSON, Ayman p.53
HERRERA-MALDONADO,
Roberto Carlos p.47
HO, Weng Ian p.38
HOLLAUER, Christoph p.60
HOLLE, Maik p.43
HOSOKAWA, Yuki p.30
HOßBACH, Nadja p.35
HOU, Xinxin p.59
HSIEH, Shulan p.37
HSU, Shu-Yen p.27
HSU, Yen-Ching p.60
HU, Yannan p.60
HUANG, Chia-Hui p.62
HUANG, Chin-Yu p.60
HUANG, S.X.S. p.32
HUANG, Tsai-Wei p.37
HÜBSCH, Gerald p.67
HUMAID, Fatima p.31
HUSSAIN, Hamed p.65
HUSSAIN, Rahman p.65
HUYNH, Van-Nam p.28

I
IEROMONACHOU, Petros
p.33
IMAHORI, Shinji p.60
INOUE, Shinji p.63
IORI, Manuel p.49
ISHIDA, Shuichi p.59
ISLAM, Mohammad Tariqul
p.36

74

ISLAM, Sardar M. N. p.27
ISLAM, Shaiful p.36
ISMAIL, Hossam p.56
ISMAIL, Zuhaimy p.53
IWAMI, Shino p.44

J
J.S., Nimmy p.33
JAGADISH p.56
JAHANGIRI, Mohammad Hossein
p.60
JAIN, Tarun p.33
JAIN, Vipul p.32
JAWARIS, Suhaili p.58
JAYAMAHA, Nihal p.34, 50
JEE, Soo-chan p.68
JENAMANI, Mamata p.54
JEONG, Suk-Jae p.49
JESCHKE, Sabina p.59
JHANG, T.W. p.56
JI, Ping p.27
JIAO, Roger J. p.48
JIN, Byungki p.68
JIN, Xianfei p.39
JOHAN, Fairooz p.49
JOHANNESSON, Hans p.39
JOHN RAJAN, A. p.48
JOOSS, Claudia p.59
JUAN-VERDEJO, Adrian p.67

K
KACZMAREK, Sascha p.71
KAJA BANTHA NAVAS, R. p.48
KAJIKAWA, Yuya p.44
KALASHNIKOV, Vyacheslav p.47
KALASHNYKOVA, Nataliya p.47
KALININA, Maria p.28
KAMMANEE, Athassawat p.39
KAMMERL, Daniel p.32, 45, 65
KAMMOUN, Mohamed-Ali p.34
KAMPKER, Achim p.42, 58
KANAPATHY, Kanagi p.34
KANT, Ravi p.33
KAO, L. F. p.61
KARAM, A. p.30
KARMAKAR, Netai Chandra p.66
KASEMSET, Chompoonoot p.33
KERNSCHMIDT, Konstantin p.32,
45
KHAN, Manzur H. p.36
KHAN, Shoab Ahmed p.44
KHATAIE, Amir H. p.55
KHODAMORADI, Saeed p.70
KHORASANI, Hanieh p.55
KHOSRAVI, Naser p.35
KIM, Gawon p.68
KIM, Kyung-Sup p.49
KIM, Sam Yeon p.28
KIM, Wonjoon p.68
KINDSMÜLLER, Tobias p.45
KIRIDENA, Senevi p.64, 67
KIRYTOPOULOS, Konstantinos
p.64, 55, 46
KISHORE KUMAR, Mahadevan
p.48
KIU, Ching Chieh p.59
KLEEN, Randy J. p.39
KODAMA, Akito p.49
KODES, Rudolf p.35
KOGA, Hiroki p.30
KOHDA, Youji p.51
KOUKI, Meriem p.53
KOWALCZYK, Daniel p.42
KOWALSKI, Markus p.59
KRCMAR, Helmut p.32
KRENKEL, Philipp p.72
KRYM, Eduardo p.29
KUAN, Chung-Huei p.59
KUHL, Ellen p.37
KUHLANG, Peter p.41

75

KÜHN, Thomas p.59
KUMAR, Arun p.37
KUO, Chi Lung p.57
KUO, Chien-Liang p.32
KUO, Hui Shan p.51
KUSUMAWARDHANI,
Mayang p.30
KÜTT, Maria p.71
KWONG, C.K. p.27

L
LABADIE, Nacima p.46
LACKA, Ewelina p.45
LAI, Hung Chih p.51
LAN, Hui-Chen p.27
LAOSIRIHONGTHONG,
Tritos p.33
LASERNA, J K. C. p.41
LAU, Hoong Chuin p.46
LEE, Beum p.69
LEE, Carman Ka Man p.51
LEE, Chan Wai p.31
LEE, Chien-Sing p.41, 59
LEE, Choo Yong p.66
LEE, Jaehong p.68
LEE, Siaw Li p.31
LEE, Yushin p.68
LEUS, Roel p.42
LEVELING, Jens p.55
LI, Jindong p.62
LI, Kai-Way p.66
LI, Mengqi p.63
LI, Tieke p.38
LI, Xiaogang p.43
LI, Xinyu p.57, 69
LI, Yan-Ru p.54
LI, Ying p.57
LI, Yuxiang p.36
LIANG, Xuedong p.70
LIM, Chin Huat p.66
LIM, Hwee San p.49
LIM, Ming K. p.45
LIM, Roland p.40, 47
LIM, S. C. Johnson p.58, 61
LIM, Weng Marc p.70
LIMON, Jorge p.52, 72
LIMON, Shah p.34
LIN, Bin p.38
LIN, C.J.H. p.32
LIN, Hou-Yi p.40
LIN, Liang-kong p.70
LIN, Min-Der p.71
LIN, P.Y. p.44
LIN, Sen p.28
LIN, Shieu-Hong p.47
LIN, Tyrone T. p.27
LIN, Weidong p.39
LIN, Yu-Chen p.32
LINDEMANN, Udo p.32, 37,
40, 43, 60, 68, 73
LIU, Jinfeng p.57
LIU, Xiaojun p.57
LIU, XiuTing p.28
LIYANAGE, Jayantha P. p.66
LOGESWARAN, Rajasvaran
p.43
LOHASIRIWAT, Haruetai
p.41
LOMBARD, Rene p.31
LU, Ching-Hua p.70
LU, Yuqian p.62
LÜDER, Arndt p.35
LUETHI, Hans-Jakob p.37
LUO, Renxi p.43
LUONG, Lee p.33
LUTFIA VILSI, Annike p.61
LV, guolin p.57
LYU, Min-Lun p.71

M
MA, Bin p.40, 47
MABIZA, Junior p.58
MAFFEI, Antonio p.42
MAHINDER SINGH, Balbir
Singh p.28
MAHLING, Antonia p.55
MAIER, Maximilian A. p.61
MÄKINEN, Saku p.72
MALADZHI, Wilson p.71
MALIK, Muhammad Noman
p.52
MALVIYA, Rakesh Kumar
p.33
MANDL, C. p.37
MANSOR, Mohd Fitri p.32
MARATH, Bhasi p.42
MARCON, Eric p.49
MARIAN, Romeo M. p.33, 38
MARKESET, Tore p.30
MARTELLO, Silvano p.49
MAT JAFRI, Mohd Zubir p.36,
49
MATHIRAJAN, Muthu p.56,
64, 45
MATSUMOTO, Yoichiro p.60
MAUE, Andreas p.58
MBOHWA, Charles p.37, 45,
58
MD DEROS, Baba p.32
MEDINA, J. A. p.41
MEMARI, Ashkan p.65
MENDOZA, Sheily p.41
MERTENS, Alexander p.72
MEYER, Francoise p.51
MIAO, Jieqiong p.43
MICHAELIDES, Roula p.33
MICHAELIS, Marcel p.39
MICHAILIDOU, Ioanna p.68
MIRAGLIOTTA, Giovanni
p.48
MISHRA, Aishwarya p.66
MIYAOKA, Kenta p.53
MOHAMAD, Ismail p.31
MOHAMED, Abdel-Aziz M.
p.28
MOHAMMADI, Mehrdad
p.37
MOHD ASRAH, Norhaidah
p.64
MOHD TAIB, Mohd Firdaus
p.41
MOHD YUSOF, Sha'ri p.52
MOIN, Noor Hasnah p.54, 55
MOKHTARI MOGHADAM,
Ali p.71
MOON, Seung Ki p.28
MORAIS, Danielle C p.29
MORI, Junichiro p.44
MÖRTL, Markus p.36, 65
MOUSAVI, S. M. p.45
MOYAUX, Thierry p.56
MÜHLBRADT, Thomas p.41
MUKHERJEE, Amitava p.50
MÜLLER, Egon p.40, 55
MUNKHART, Eduard p.36
MÜNZBERG, Christopher
p.32
MURARI, Pranab p.66
MUTINGI, Michael p.37, 45,58MÜTZE-NIEWÖHNER,
Susanne p.34, 68

N
NANAYAKKARA, Julian p.44
NANAYAKKARA, Manjula
p.50
NASEEM, Afshan p.44
NEPAL, Bimal p.34
NEVES, Pedro p.42

NG, Kam-Choi p.52
NGO, Ngoc-Tri p.64
NGUYEN, Dinh Son p.50
NGUYEN, Nguyen Thi Duc
p.35
NI, Xue p.57
NI, Zhonghua p.57
NIAKAN, Farzad p.56
NILSSON, Susanne p.36
NIROOMAND, Iman p.55
NISHI, Tatsushi p.49, 54
NORDIN, Norani p.48
NOVRISAL, Dimas p.39

O
OEHME, Daniel p.40
OERLEMANS, Leon p.64
OH, Hyung Sool p.28
OJADI, Frank p.33
ONORI, Mauro p.42
ONYEMEH, Ngozi p.31
ORAWSKI, Robert p.65
ORDIERES, Joaquin p.48
ORJI, Ifeyinwa p.71
OROZCO, Ralph p.41
ORTT, Roland p.72
OTTO, Boris p.55
OUALI, Anis p.69
OUDAH, Mayada p.72
OUYANG, Liang-Yuh p.71

P
PADMANABHAN, Kishore
p.32
PALEI, Sanjay Kumar p.66
PARK, Taezoon p.28
PATHIK, Bishwajit Banik p.36
PATIL, Balachandra p.45
PAUL, Sanjoy Kumar p.33
PEI, T-Y p.66
PEI, Yang p.71
PELLEGRINO, Roberta p.54
PENG, Kuan-Li p.60
PERNG, C. p.56
PILLAI, V. Madhusudanan
p.33
PIROOZFARD, Hamed p.29,
71
PITSCH, Martin p.59
POKORA, Ondrej p.63
POLZONETTI, Alberto p.45
POOLTON, Jenny p.56
POON, Kin Fan p.69
POURABDOLLAHIAN,
Golboo p.57
PRADHAN, Rudra P p.45
PRETORIUS, Marthinus p.64
PROMMARAT, Angkhana
p.39
PRZYBYSZ, Philipp M. p.34,
51
PUAPANSAWAT, Thitikom
p.39
PULIPAKA, Kiranmayi p.64
PUSHPAKUMARA, Chamli
p.44
PUTHANVEETTIL, Biju p.42
PUUSTJÄRVI, Juha p.37
PUUSTJÄRVI, Leena p.37

R
RAHIMINEZHADGALANKASHI, Masoud p.55
RAM, Bala p.30
RAMACHANDRAN,
Parthasarathy p.29
RANNACHER, Alexander
p.51, 68

RASSIAS, Nikos p.64
RAUDBERGET, Dag p.39
RAUT, Sumit p.32
RAVANSHADNIA, Mehdi p.42
RAY, Amitava p.56
RAY, Pritee p.54
RAY, Tapabrata p.70
RE, Barbara p.45
REDJEM, Rabeh p.49
REITNER, Kathrin p.55
REZG, Nidhal p.34
REZIG, Sadok p.34
RIANTHONG, Napaporn p.51
RICHERT, Anja p.59
RIEDEL, Ralph p.40, 55
RODRÍGUEZ, Manuel p.72
ROKOU, Elena p.46, 55
RUNGI, Mait p.48, 61, 71

S
S. M. REDDY, Rutwick p.66
SADEGHI, Mohsen p.35, 60
SAECHAN, Panmeq p.41
SAEED OSMAN, Mojahid p.30
SAFAKAR, Mohsen p.65
SAGADAVAN, Revathi p.31
SAHAYA RUBINSON, S. p.48
SAIF, Abdul-Wahid A. p.38
SAITOH, Fumiaki p.69
SAKATA, Ichiro p.44, 60
SAKHUJA, Sumit p.32
SALLEH, Mad Ithnin p.47
SAM, Kin Meng p.62
SAMARANAYAKE, Premaratne
p.64, 67
SAMBASIVAM, Debjani p.43
SAMBU POTTY, Narayanan p.40
SANGWAN, Kuldip Singh p.68
SARKER, Ruhul p.33, 70
SASAKI, Hajime p.60
SAUER, Olaf p.69
SAWADA, Kiyoshi p.39
SAWAMURA, Haruki p.60
SAWANGTHONG, Wannika p.39
SCHAEFFLER, Thomas p.30, 35
SCHEEL, Stephan p.34
SCHENKL, Sebastian p.36
SCHLICK, Christopher M. p.34, 51,
68, 72
SCHMIDT, Danilo Marcello p.36,
65, 68SCHMIDT, Michael Timo p.40, 73
SCHMIDTCHEN, Kai p.72
SCHÖNSLEBEN, Paul p.55
SCHRÖDER, Stefan p.59
SCHUH, Guenther p.59
SCHUTZ, Jeremie p.56
SHAFAZAND, Mohammad Yaser
p.35
SHAHRIARI, Mohammad Reza
p.35, 62
SHAHZADI, Ramin p.60
SHAKIBA, Masoud p.36
SHAMSUZZOHA, Ahm p.72
SHARMA, Tarun p.46
SHEN, Chun-Ying p.70
SHIH, Jen-Ying p.69
SHIH, Po-Hong p.62
SHIRI, Mahdyeh p.55
SHISHEHGAR, Shadab p.37
SHROUF, Fadi p.48
SI, Shubin p.63
SI, Weitao p.63
SIADAT, Ali p.37, 45
SIDDIQUI, Ali Akbar p.69
SILI, Davide p.57
SINGH, Balwinder p.60
SINGH , Mandeep Jit p.36
SINGH, Perminderjit p.68
SINGH, Rashmi p.56
SIOW, Kim p.40
SITHARAM, T. G. p.29

SOEMARDI, Tresna p.39
SOMASUNDHANRAM,
Muralidharan p.32
SON, Hungsun p.28
SONTHIPERMPOON, Kawin
p.49
STAHL, Benjamin p.45
STRANZENBACH, Robert
p.34
STULOVA, Valeria p.48, 61
SU, Chia-Hsien p.71
SU, Yuliang p.29, 57, 70
SUDPHAN, J. p.33
SUN, Shudong p.63
SUNDGREN, David p.28
SUNK, Alexander p.41
SURAJBALI, Bholanathsingh
p.67
SUWANDECHOCHAI,
Rawee p.39
SVETINOVIC, Davor p.66
SYAFIIE, S p.53, 65
SYAFIIE, Syafiie p.67

T
TACOA, Francisco p.44
TAGHAVIFARD, Mohammad
Taghi p.54
TAHERI, Laleh p.35
TAISCH, Marco p.57
TAJALDINI, Mehdi p.36
TAMURA, Yoshinobu p.53
TAN, Puay Siew p.40
TAN, Siow Hwei p.46
TAN, Z. L, p.70
TANG, S. H. p.50
TANISHA, Lubaba Farin p.36
TANSURAT, Pawat p.35
TAVAKKOLI-MOGHADDA
M, Reza p.37
TAVAKOLI-TARGHI, Parissa
p.32
TCHOFFA, David p.50
TEH, Pei-Lee p.70, 72
TEN HOMPEL, Michael p.71
TENG, Suyan p.46
THIRUCHELVAM, Vinesh
p.59
TICKLE, Matthew p.33
TLAPA, Diego p.52, 72
TOH, Ming Hon p.40, 47
TOMMELEIN, Iris p.40, 73
TRAUTMANN, Norbert p.42
TRUONG , Khoa p.28
TSAI, J.T. p.56
TSAI, Kang-Ting p.71
TSAI, Meng-Che p.58
TSENG, Chun-Yang p.41
TSOU, Chin-Shih p.67
TUAN, Yi-Min p.51

p.32
VILLENEUVE, Eric p.40
VO, Dieu p.28
VOGEL-HEUSER, Birgit p.32
VOLLMAR, Jan p.30
VOSSEN, R. p.59

W
WAGNER, Jurgen p.34
WAHYUNI, Nuraida p.39
WAN AHMAD, Wan Siti
Halimatul Munirah p.43
WAN OMAR, Wan Maznah
p.49
WAN ZAKI, Wan Mimi
Diyana p.43
WANG, Chung-Chuan p.44
WANG, Chung-Shing p.44
WANG, Chunqing p.70
WANG, Da p.70
WANG, Earl-Juei p.67
WANG, I-Jan p.41
WANG, Lina p.56
WANG, Lizhi p.36
WANG, Xiaohong p.36
WAQAR MALIK, Asad p.44
WARAWUT, Phanboonmee
p.49
WATTANAPANICH, Temsin
p.41
WATTANAPORNPROM,
Warin p.38
WATTANAPORNPROM,
Watcharee p.38
WEI, Sun p.71
WICKEL, Martina p.45, 60
WIDMER, Philippe p.37
WIJAYARATHNA, Gamini
p.38
WIRAWAN, Christina p.51
WITHANAARACHCHI,
Amila p.44
WOLFENSTETTER, Thomas
p.32
WONG, K. Daniel p.41
WONG, Kuan Yew p.29, 71
WONG, Lily p.54
WONG, Seng Fat p.38, 57
WU, Shuli p.27
WU, Trevor p.51
WU, Wei p.49

ZABIHINPOUR, S. Mojtaba
p.50
ZAK, Libor p.63
ZAKARIA, Anies p.61
ZAKARIA, Shahsuzan p.27,
47
ZAKI, Rezgar p.49, 50
ZAMAN, Forhad p.70
ZAVVARI, Azam p.36
ZHANG, Chen p.52
ZHANG, Guoqing p.54
ZHANG, Jing Xin p.62
ZHANG, Linda L. p.37, 42
ZHANG, Xueliang Ruben
p.53
ZHOU, Liyan p.59
ZHOU, Qiong p.72
ZÖLLNER, Alexander p.37

XIANG, Yiming p.59
XIE, Min p.71
XIE, Xiaolan p.49
XU, Jiaqi p.63
XU, Xun p.56, 62

Y

UDUWELA, Wasana C. p.38
URQUIDI GUERRERO, Josu
p.68

YADAV, Om Prakash p.34
YAGIURA, Mutsunori p.49, 60
YALAOUI, Alice p.46
YAMADA, Shigeru p.53, 63
YAN, Bingwen p.71
YANG, Changjun p.46
YANG, Ching-Hu p.44
YANG, Conna p.62
YANG, Dong p.48
YANG, Jun p.28
YANG, Keng-Chieh p.62
YANG, Ruiping p.59
YANG, Su Yu Yang p.62
YEE, Rachel W. Y. p.45
YEN, Hsin-Yi p.70
YOKOYAMA, Hajime p.67
YOSHIDA, Okihiro p.54
YOUSEFI, Ali p.46

VAKILIAN, Nayereh p.62
VALIS, David p.63
VALIZADEH, Maryam p.67
VALLES-ROSALES, Delia
p.52
VAN WAVEREN, Corro p.31,
64,
VASANT, Pandian p.28
VERA ACEVEDO, Luz Dinora
p.41
VIJAYARANGAN, Natarajan

Z

X

U

V

YU, Liruoyang p.53
YU, Mingyen p.46
YU, Yanju Lisa p.53
YU, Yao Cheng p.51
YUAN, Xue-Ming p.70
YUN, Ho-Yoeng p.49
YUN, Myung Hwan p.41, 68

76

Conference Information & Services
Secretariat – Meeting Matters International Pte Ltd

Email: : info@ieem.org

Cheng-Hoon KHOO

Conference Manager

HP: (65) 9819 9462

Quentin PAN

Technical Program
Coordinator

HP: (65) 9125 9191

Yvonne POON

Operations

HP: (65) 9125 9090

Telephone
The country code for KL is 60 and the area code is 3. You need to dial 3 before the number if you are making adomestic call. When dialling an international number from KL, you should first dial 00 and then add 60 (countrycode) and the number you want to call.
Emergency Services

Taxi Services

Emergency

999

Comfort03-80242727

Police2262 6222

Sunlight Cab

03-90575757 / 1111

Fire Station

994

Public Cab

03-62592020

From Mobile Phone112

Super Cab

03-20953399

Tourist Emergency Hotline (24h)03-21496590

Flight Information
Kuala Lumpur International Airport(KLIA)

03-8776 2000

Subang Airport

03-7843 3000

Low Cost Carrier Terminal (LCCT)

03-8777 8888

77

Transportation in Kuala Lumpur
Taxis
Taxis are readily available in KL and the fares are fairly inexpensive. All taxis have a meter so make sure thatyour driver is using it as this is mandatory in Malaysia. Carrying a map with you will be useful in case of possible
language barriers between you and the driver.
MyTeksi app
MyTeksi is an automated smartphone based booking and dispatch platform for the taxi industry in
Malaysia. MyTeksi aims to introduce simple, cost effective mobile-based technology to both the
supply (dispatch companies) and demand (passenger) sides of the distribution chain. With thistechnology, MyTeksi hopes to optimize the matching process between taxi fleets and passengers.
MyTeksi is available on App Store, Google Play & Windows. Scan the QR code to access MyTeksi website.

Trains••••KLIA Express & KLIA Transit - Travelling from and to Kuala Lumpur International Airport is fast andconvenient via the KLIA Express. This nonstop Airport Transfer travels between the Airport and the city, KL
Central, in less than 30 minutes. A single trip costs RM 35. Tickets can be purchased at KLIA via the counters orvending machines, or downtown KL in the City Air Terminal (CAT) at the KL Central.
The KLIA Transit also connects between city and the KLIA, with transits in key areas at Salak Tinggi, Putrajaya& Cyberjaya and Bandar Tasik Selatan – enroute to KLIA.
KTM Komuter – Connects suburban towns of Rawang, Sentul, Port Klang & Seremban.
Light Rail System (LRT) & Monorail –The Ampang Line and Kelana Jaya Line of the LRT, and the monorailprovide access to major hotspots within the city. The LRT also cover some of the outskirts.

City Buses
The buses are mainly operated by Rapid KL and Metrobus, linking the city with the suburb areas in the Klang Valley.
Commuting by buses is less preferred with the convenience of the rail transportation, unless you are travelling to theoutlying areas such as the Batu Caves.
Touch ‘n Go Card
The Touch ‘n Go Card can be used as a pre-paid travel card for commuting on major public transportation. These
include the RapidKL buses, LRT (Ampang Line & Kelana Jaya Line), Monorail, KTM Komuter, and the KLIA Ekspres.
The card is convenient to use and save travellers’ the hassle of having to queue at the cash lane to purchase tickets
everytime. The card can also be used to pay for products and services at places where the Touch ‘n Go sign isdisplayed, such as retail and food outlets, attractions, theme parks etc.
The card is available for purchase at most train stations around the city central. The minimum top-up value is RM 10.
For more information, please refer to: http://www.touchngo.com.my/78

10 Things to Do in Kuala Lumpur
Petronas Twin Towers
An iconic building of KL, the PETRONAS Twin Towers is the world’s tallest twin
structure, standing 452-metres tall and 88-storeys high. A Sky Bridge links the towers at
Levels 41 and 42, 175m above street level. Be sure to visit this magnificent architecture
when you visit KL! Limited tickets to enter Sky Bridge are sold daily, so do purchase thetickets in advance to avoid disappointment.

Menara KL Tower
Atop the Bukit Nanas (Pineapple Hill) Forest Reserve, Menara KL Tower is anotherfamous landmark in Kuala Lumpur. Head up to the observation deck at 276 metres above
ground to experience the most spectacular view of the metropolitan city.

Chinatown
Located in Petaling Street, Chinatown is another popular tourist spot in KL that retains
much of its oriental culture and heritage. Revel in this town when the street transforms
into a vibrant night market with a great variety of bargain products and delectable local
delights which you will not want to miss. Explore also temples further down the Street,such as the Chan See Shu Yuen Temple and Sri Maha Mariamman Temple.

Aquaria KLCC
After visiting the Twin Towers, embark on a journey of marine life discovery at KLCC’s
world-class aquarium, which is only a walking distance away! Here you will find morethan 5,000 different exhibits of aquatic and land-bound creatures. Interactive feedingshows are also scheduled throughout the day. For the adventurous, head to the Touchpool
area where you can come into contact with live starfish and bamboo shark.

Batu Caves
The Batu Caves is one of the holiest shrines in Malaysia and a main tourist attractionof KL. A Hindu God statue sits at the entrance of the Batu Caves, beside the 272-steps
which leads you to the top of the caves. Thousands of worshippers and tourists visit the
Batu Caves, especially during the annual Hindu festival of Thaipusam. These caves are adefinite must-visit when you are in Kuala Lumpur.

79

10 Things to Do in Kuala Lumpur (cont’d)Central Market
A few minutes’ walk away from Petaling Street, explore the famous landmark for Malaysian Culture, Heritage and Art & Craft - the Central Market. What used to be a wet market
is now transformed into an award-winning tourist attraction and retail space. Here you
can find a variety of handicrafts, souvenirs shops and also authentic Batik merchandise.
While shopping, you may chance upon multi-cultural performances or celebrations at the
Outdoor Stage.

Thean Hou Temple
Set on top of Robson Hill is one of the largest Chinese temples in South-East Asia – Thean
Hou Temple. Many visit this Temple to worship Thean Hou Goddess, the Goddess ofMercy and the Goddess of the Waterfront. Cultural activities such as the Chinese New
Year celebration and the Mid-Autumn Festival are also held here. This temple, with
its spectacular skyline is also a popular spot for wedding photo-shoots. A marriage
registration office is located on the 2nd level of the building.

Royal Selangor Visitor Centre
Located 20 minutes away from the KL city centre, pop by Royal Selangor Visitor Centre
at Setapak Jaya and get introduced to the world of pewter craftsmanship through thecomplimentary guided tours in several languages. Have a go at creating your own pewter
products in the workshops available at the School of Hard Knocks and The Foundry!

National Mosque
The National Mosque (Masjid Negar), is one of the largest mosques in Southeast Asia. Its
unique and modern design embodies a contemporary expression of traditional Islamic art.
The main dome is designed in the shape of an 18-point star which represents the 5 central
Pillars of Islam and the 13 states of Malaysia, and with the “semi-opened umbrella” roof
symbolising the aspirations of an independent nation.

Jalan Tunku Abdul Rahman
Enjoy a remarkable shopping and cultural experience at the shops that currently reside in
the pre-war buildings along Jalan Tuanku Abdul Rahman (sometimes referred to as Jalan
TAR). The shops offer a great variety of clothing materials which are fairly inexpensive.
On Saturdays between 5pm to 10pm, this shopping district transforms into a night market(“Pasar Malam”) with vendors selling a variety of goods and local delicacies.

80Beyond Kuala Lumpur
Malacca
Spare a day-trip or even a weekend to visit the historic Malacca, rich with heritagebuildings, landmarks and colonial structures that are still well-preserved from the earlydays of the Portugese and Dutch eras. Malacca is definitely a place like no other where youcan experience the different cultures and mouth-watering local delicacies.

Cameron Highlands
Retreat into the popular Cameron Highlands for a relaxing weekend getaway. Over here,
you can find plenty of tea plantations, flowers and vegetable farms, a lovely sight which
you will probably not see elsewhere in Malaysia. Take a walk around these plantations,farms and enjoy the beauty of this place.

Genting Highlands
Head to Genting Highlands for a mountain retreat and you can find a wide array ofactivities available for you to choose from, such as the casino, theme parks, farms
visiting and other recreational activities. Find one that suits you! Take a relaxing ride on
the skyway cable-car to the top where you can have a panoramic view of the mountains
and rainforest to complete your trip at Genting Highlands.

Langkawi
Be fascinated with the magical beauty of Langkawi, also known as the Jewel of Kedah, anarchipelago of islands. Take a boat tour around the islands. For the more adventurous, trek
through the rainfores t or go for a dive in the beautiful waters of Langkawi Islands. If you
would like to head somewhere from the hustle and bustle of city for some relaxation time,
Langkawi is sure to guarantee you an unforgettable experience.

Federal Territory Of Putrajaya
Located halfway between the Kuala Lumpur International Airport and Kuala Lumpur,
Putrajaya is the administrative capital of Malaysia, a harmonious mix of nature’s beauty
and modern day monuments. It is Malaysia’s proud symbol of dreams and aspirations
come to life.
Perdana Putra Houses
Featuring Islamic-Mogul architecture, Perdana Putra houses the offices of Malaysia’s
Prime Minister, Deputy Prime Minister as well as the Ministers in the Prime Minister’s
Department.
Putra MosqueAmong the most famous landmarks in Putrajaya, this mosque is distinguished by its
magnificent pink dome, majestic colonnades and beautifully landscaped water features.

81Notes82

Notes83

Department
Dof

SystemsS
Engineerring andEngineerEring Managementt

In additionato oother engineeering program
mmes, SEEM
M offers
a fu
ull suite of IE
EEM program
ms from BEng to EngD.

Ba
achelor off Engineerring (Honss) in Indusstrial Engineering anda Engin eering Ma
anagemennt
Thiis programmee aims to equip
p students witth problem soolving,
technical and maanagerial skills and knowledgge related to
Industrial Engineering and Enggineering Manaagement and tto
preepare them for professional careers in maanaging
manufacturing, eengineering annd other technnology orienteed
servvices.

The graduate
es will developp:* a broad understanding oof the principle
es andtechnologies related to eengineering an
nd manufacturring;t conceptuallize, analyze, synthesizesandd* the ability to
implementt industrial sysstems and servvices; and* the ability tot efficiently mmanage manufacturing,
engineeringg and other teechnology orie
ented systemss.

Maaster of S
Science in Engineeriing Managgement (M
MSEM)
Thee programme is designed fo
or engineers withw the aim too meetthee education neeeds of practissing engineerinng managers bby
devveloping their managerial skkills, specialist expertise andd
functional capabiility in the conntext of Engine
eering Manageement.
of the program
mme as comppared with othher
Thee uniqueness omanagement pro
ogrammes liess in the follow
wing:
gineering Ma
anagement Context
CEngWh
hile the managgement skills are
a common, the engineerinng
managers managge activities wiith a strong en
ngineering / teechnicalntent. This pro
ogramme provvides the stroong engineerinngcon
management conntext.

En
ngineeringg Doctoraate (EngD))
Thee Engineering Doctorate is a professionaal doctorate
deggree. The Enggineering Docttorate programm at SEEM off
CityU focuses onn Engineering Management. It is a part-ti meproogramme designed for senioor managers anda engineers inall kindskof organnizations in Ho
ong Kong and mainland Chiina.
Thee programmee aims at develloping the canndidates' creattive
thinnking and overall capability to apply innovvative
tecchnologies andd advanced maanagement me
ethods to meeet
thee long-term strrategic needs of their organ
nizations.
00 and has
Thee EngD progrramme was lauunched in 200
attrracted nearly 100 senior enngineering man
nagers andexeecutives from engineering companies,c
educational
insttitutes and govvernmental orrganizations, creatingcaneveer-widening neetwork for enngineering man
nagement,tecchnological innnovation, entreepreneurship andindustry-universiity collaboratio
on.

Functional Needs
Nof Enggineering Ma
anagement
The functions of general annd engineering managers arredGeneeral managerss are oriented
significantly different.
towards business issues. EEngineering maanagers underrtake
professional functions
fsuchh as engineering project
managementt, engineering operations planning andcontrol and productp/ servvices developm
ment. This
programme aimsato develoop a critical unnderstanding ofothe academicc and professioonal knowledgge required inn theexecution of these engineeering managem
ment functionns.
Empathyeaknesses. This
Engineers havve special streengths and we
programme focusesfon thee characteristics of engineers asa group. Thiss facilitates thee concentratio
on and empathhyrequired for the successfull transition fro
om the role off
ers.
engineers to that of engineeering manage

Providee word-cclass educcation
Maximize studeents’ poteentials
Capture global oopportun
nitiesEN
NQUIRIES
Deepartment off Systems Engineeringandd Engineering Managemeent (SEEM)
Citty Universityy of Hong Koong
Teel: (852) 34422 9321
Fax
x: (852) 34442 0173
Em
mail: seemgo
o@cityu.edu.hk
wwww.cityu.eduu.hk/seem/

84 Department
Dof Systems Engineeering and Engiineering Manage
gement | Collegge of Science an
nd Engineering | City University of Hong Konng

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Supported By

Secretariat

Meeting Matters International
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85

Design : Yinmin Phyu Lwin

Editorial & Production : Alex ANG, Quentin PAN, Yvonne POON