Supply Chain Management Under Fuzziness: Recent Developments and Techniques

671 Pages·2014·1.95 MB·English

by  Cengiz Kahraman

Studies in Fuzziness and Soft Computing
Cengiz Kahraman
Başar Öztayşi Editors
Supply Chain
Management
Under
Fuzziness
Recent Developments and Techniques
Studies in Fuzziness and Soft Computing
Volume 313
Series editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
e-mail: [email protected]
For furthervolumes:
http://www.springer.com/series/2941
About this Series
The series ‘‘Studies in Fuzziness and Soft Computing’’ contains publications on
various topics inthearea ofsoftcomputing,which include fuzzy sets,rough sets,
neuralnetworks,evolutionarycomputation,probabilisticandevidentialreasoning,
multi-valued logic, and related fields. The publications within ‘‘Studies in
Fuzziness and Soft Computing’’ are primarily monographs and edited volumes.
Theycoversignificantrecentdevelopmentsinthefield,bothofafoundationaland
applicablecharacter.Animportantfeatureoftheseriesisitsshortpublicationtime
and world-wide distribution. This permits a rapid and broad dissemination of
research results.
Cengiz Kahraman Ba(cid:2)sar Öztay(cid:2)si
•
Editors
Supply Chain Management
Under Fuzziness
Recent Developments and Techniques
123
Editors
CengizKahraman
Ba(cid:2)sarÖztay(cid:2)si
Department of IndustrialEngineering
IstanbulTechnical University
Istanbul
Turkey
ISSN 1434-9922 ISSN 1860-0808 (electronic)
ISBN 978-3-642-53938-1 ISBN 978-3-642-53939-8 (eBook)
DOI 10.1007/978-3-642-53939-8
Springer Heidelberg NewYork Dordrecht London
LibraryofCongressControlNumber:2014931357
(cid:2)Springer-VerlagBerlinHeidelberg2014
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I dedicate this book to my wife
Fatma Kahraman
and my children
Nazlı Ece, Yunus Emre, and Onur
Prof. Cengiz Kahraman
I dedicate this book to my family;
My love Senem Öztay(cid:2)si
and my sweet daughter Nil
Dr. Ba(cid:2)sar Öztay(cid:2)si
Preface
A supply chain is the network of all the individuals, organizations, resources,
activities, andtechnology involved inthe creationand sale ofa product,from the
delivery of source materials from the supplier to the manufacturer, through to its
eventual delivery to the end user. Supply chain management (SCM) is the over-
sight of materials, information, and finances as they move in a process from
supplier to manufacturer to wholesaler to retailer to consumer. The three main
flows of the supply chain are the product flow, the information flow, and the
financesflow.SCM involves coordinating and integrating these flows both within
and among companies.
Decision making is the thought process of selecting a logical choice from the
available options. This is generally made under fuzzy environment. Fuzzy deci-
sion-makingisadecisionprocessusingthesetswhoseboundariesarenotsharply
defined.Theaimofthisbookistoshowhowfuzzysetsandfuzzydecision-making
can be used in the various stages of supply chain management.
The contents of the book were constituted by following crisp supply chain
managementbooks.Thus,ourbookincludesallthetopics,whichcanbefoundina
classicalsupplychainmanagementbookbutunderfuzziness.Thehandledtitlesof
our book are supplier evaluation under fuzziness, supply chain performance
measurement under fuzziness, planning, controlling, and improving supply chain
under fuzziness, production and materials management under fuzziness, optimi-
zation in supply chain under fuzziness, warehouse management under fuzziness,
and green and reverse logistics under fuzziness.
The authors who published many fuzzy SCM papers in the literature were
selected and invited to our book. Under the above main titles, they wrote on
supplier evaluation using fuzzy inference systems, multicriteria supplier selection
usingfuzzyPROMETHEEmethod,fuzzy-AHPapproachtoimproveeffectiveness
of supply chain, supplier evaluation using fuzzy clustering, investigating organi-
zational characteristics for sustainable supply chain planning under fuzziness,
fuzzy multiple criteria decision making for supply chain management, supply
chain performance measurement: an integrated DEMATEL and fuzzy-ANP
approach, imprecise DEA models to assess the agility of supply chains, supply
chain performance measurement using a SCOR-based fuzzy VIKOR approach,
fuzzy estimations and system dynamics for improving manufacturing orders
in VMI supply chains, fuzzy methods for demand forecasting in supply
vii
viii Preface
chain management flows finding in networks in fuzzy conditions, supply chain
configuration as a cooperative game with fuzzy coalitions, a decentralized
production and distribution planning model in an uncertain environment, a fuzzy
linearprogrammingapproachforaggregateproductionplanning,batchproduction
plan for periodic demands with uncertain recycling rate in a closed-loop supply
system, optimization models for supply chain production planning under
fuzziness,recentmodelsandsolutionmethodologiesforoptimizationproblemsin
supplychainmanagementunderfuzziness,amultiplemeanstransportationmodel
withtype-2fuzzyuncertainty,afuzzysettheoreticapproachtowarehousestorage
decisionsinsupply chains, fuzzy c-means algorithmwith fixedclustercenters for
uncapacitated facility location problems: Turkish case study, a supply-chain
production inventory model with warehouse facilities under fuzzy environment
selection and assignment of material handling devices under uncertainty,
government green procurement: a fuzzy-DEMATEL analysis of barriers, facility
location selection in reverse logistics using a type-2 fuzzy decision aid method,
green and reverse logistics management under fuzziness, an axiomatic design
approach to the classification of reverse logistics network design studies under
fuzziness, green supply chain technology: a comprehensive evaluation and
justification multiattribute decision modeling approach.
The authors were invited from different countries to obtain a real international
book.Amongthesecountries,wecancountTurkey,Greece,Spain,China,Russia,
Iran, Canada, Taiwan, Mexico, Colombia, India, and the USA.
Finally, we thank all contributors and referees for their kind cooperation. This
book would not be happening without their contributions and efforts.
Cengiz Kahraman
Ba(cid:2)sar Öztay(cid:2)si
Contents
Part I Supplier Evaluation Under Fuzziness
Supplier Evaluation Using Fuzzy Inference Systems. . . . . . . . . . . . . . 3
Atefeh Amindoust and Ali Saghafinia
Multi Criteria Supplier Selection Using Fuzzy
PROMETHEE Method . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
Ozlem Senvar, Gülfem Tuzkaya and Cengiz Kahraman
Fuzzy-AHP Approach to Improve Effectiveness of Supply Chain . . . . 35
Adesh Jinturkar, Sandip Deshmukh, Avinash Sarode,
Vivek Sunapwar and Prakash Khodke
Supplier Evaluation Using Fuzzy Clustering. . . . . . . . . . . . . . . . . . . . 61
Ba(cid:2)sar Öztay(cid:2)si and Mine I(cid:2)sık
Investigating Organizational Characteristics for Sustainable
Supply Chain Planning Under Fuzziness . . . . . . . . . . . . . . . . . . . . . . 81
A. Awasthi, K. Grzybowska, M. Hussain, S. S. Chauhan and S. K. Goyal
Part II Supply Chain Performance Measurement Under Fuzziness
Fuzzy Multiple Criteria Decision Making for Supply
Chain Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103
Yuh-Wen Chen and Moussa Larbani
Supply Chain Performance Measurement: An Integrated DEMATEL
and Fuzzy-ANP Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 143
Ozlem Senvar, Umut Rifat Tuzkaya and Cengiz Kahraman
Imprecise DEA Models to Assess the Agility of Supply Chains . . . . . . 167
Kaveh Khalili-Damghani, Soheil Sadi-Nezhad
and Farhad Hosseinzadeh-Lotfi
ix
x Contents
Supply Chain Performance Measurement Using a SCOR
Based Fuzzy VIKOR Approach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199
Ba(cid:2)sar Öztay(cid:2)si and Özge Sürer
Part III Planning, Controlling, and Improving Supply Chain
Under Fuzziness
Fuzzy Estimations and System Dynamics for Improving
Manufacturing Orders in VMI Supply Chains . . . . . . . . . . . . . . . . . . 227
Francisco Campuzano-Bolarín, Josefa Mula and David Peidro
Fuzzy Methods for Demand Forecasting in Supply
Chain Management. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243
Ba(cid:2)sar Öztay(cid:2)si and Eda Bolturk
Flows Finding in Networks in Fuzzy Conditions. . . . . . . . . . . . . . . . . 269
Alexandr Bozhenyuk and Evgeniya Gerasimenko
Supply Chain Configuration as a Cooperative Game
with Fuzzy Coalitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293
Leonid B. Sheremetov and Alexander V. Smirnov
Part IV Production and Materials Management Under Fuzziness
A Decentralized Production and Distribution Planning Model
in an Uncertain Environment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317
Johannes Hegeman, David Peidro, María del Mar Alemany
and Manuel Díaz-Madroñero
A Fuzzy Linear Programming Approach for Aggregate
Production Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355
Cagatay Iris and Emre Cevikcan
Batch Production Plan for Periodic Demands with Uncertain
Recycling Rate in a Closed-Loop Supply System . . . . . . . . . . . . . . . . 375
Hsiao-Fan Wang and Chung-Yuan Fu