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Supply Chain Management Under Fuzziness

Recent Developments and Techniques

  • Book
  • © 2014

Overview

Editors:
  1. Cengiz Kahraman

    1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

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    You can also search for this editor in PubMed   Google Scholar

  2. Başar Öztayşi

    1. Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Comprehensive guide to supply chain management under fuzziness
  • Show how fuzzy sets and fuzzy decision-making can be used in the various stages of supply chain management
  • Written and edited by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 313)

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Table of contents (28 chapters)

  1. Front Matter

    Pages i-xii
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  2. Supplier Evaluation Under Fuzziness

    1. Front Matter

      Pages 1-1
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    2. Supplier Evaluation Using Fuzzy Inference Systems

      • Atefeh Amindoust, Ali Saghafinia
      Pages 3-19

    3. Multi Criteria Supplier Selection Using Fuzzy PROMETHEE Method

      • Ozlem Senvar, Gülfem Tuzkaya, Cengiz Kahraman
      Pages 21-34

    4. Fuzzy-AHP Approach to Improve Effectiveness of Supply Chain

      • Adesh Jinturkar, Sandip Deshmukh, Avinash Sarode, Vivek Sunapwar, Prakash Khodke
      Pages 35-59

    5. Supplier Evaluation Using Fuzzy Clustering

      • Başar Öztayşi, Mine Işık
      Pages 61-79

    6. Investigating Organizational Characteristics for Sustainable Supply Chain Planning Under Fuzziness

      • A. Awasthi, K. Grzybowska, M. Hussain, S. S. Chauhan, S. K. Goyal
      Pages 81-100

  3. Supply Chain Performance Measurement Under Fuzziness

    1. Front Matter

      Pages 101-101
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    2. Fuzzy Multiple Criteria Decision Making for Supply Chain Management

      • Yuh-Wen Chen, Moussa Larbani
      Pages 103-141

    3. Supply Chain Performance Measurement: An Integrated DEMATEL and Fuzzy-ANP Approach

      • Ozlem Senvar, Umut Rifat Tuzkaya, Cengiz Kahraman
      Pages 143-165

    4. Imprecise DEA Models to Assess the Agility of Supply Chains

      • Kaveh Khalili-Damghani, Soheil Sadi-Nezhad, Farhad Hosseinzadeh-Lotfi
      Pages 167-198

    5. Supply Chain Performance Measurement Using a SCOR Based Fuzzy VIKOR Approach

      • Başar Öztayşi, Özge Sürer
      Pages 199-224

  4. Planning, Controlling, and Improving Supply Chain Under Fuzziness

    1. Front Matter

      Pages 225-225
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    2. Fuzzy Estimations and System Dynamics for Improving Manufacturing Orders in VMI Supply Chains

      • Francisco Campuzano-Bolarín, Josefa Mula, David Peidro
      Pages 227-241

    3. Fuzzy Methods for Demand Forecasting in Supply Chain Management

      • Başar Öztayşi, Eda Bolturk
      Pages 243-268

    4. Flows Finding in Networks in Fuzzy Conditions

      • Alexandr Bozhenyuk, Evgeniya Gerasimenko
      Pages 269-291

    5. Supply Chain Configuration as a Cooperative Game with Fuzzy Coalitions

      • Leonid B. Sheremetov, Alexander V. Smirnov
      Pages 293-314

  5. Production and Materials Management Under Fuzziness

    1. Front Matter

      Pages 315-315
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    2. A Decentralized Production and Distribution Planning Model in an Uncertain Environment

      • Johannes Hegeman, David Peidro, María del Mar Alemany, Manuel Díaz-Madroñero
      Pages 317-353

    3. A Fuzzy Linear Programming Approach for Aggregate Production Planning

      • Cagatay Iris, Emre Cevikcan
      Pages 355-374
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Keywords

About this book

Supply Chain Management Under Fuzziness presents recently developed fuzzy models and techniques for supply chain management. These include: fuzzy PROMETHEE, fuzzy AHP, fuzzy ANP, fuzzy VIKOR, fuzzy DEMATEL, fuzzy clustering, fuzzy linear programming, and fuzzy inference systems. The book covers both practical applications and new developments concerning these methods. This book offers an excellent resource for researchers and practitioners in supply chain management and logistics, and will provide them with new suggestions and directions for future research. Moreover, it will support graduate students in their university courses, such as specialized courses on supply chains and logistics, as well as related courses in the fields of industrial engineering, engineering management and business administration.

Editors and Affiliations

  • Department of Industrial Engineering, Istanbul Technical University, İstanbul, Turkey

    Cengiz Kahraman, Başar Öztayşi

Bibliographic Information

  • Book Title: Supply Chain Management Under Fuzziness

  • Book Subtitle: Recent Developments and Techniques

  • Editors: Cengiz Kahraman, Başar Öztayşi

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-642-53939-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-53938-1Published: 26 February 2014

  • Softcover ISBN: 978-3-662-51118-3Published: 03 September 2016

  • eBook ISBN: 978-3-642-53939-8Published: 15 February 2014

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XII, 679

  • Number of Illustrations: 98 b/w illustrations, 12 illustrations in colour

  • Topics: Computational Intelligence, Engineering Economics, Organization, Logistics, Marketing, Operations Management

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