Supply Chain Management Under Fuzziness

Recent Developments and Techniques

  • Cengiz Kahraman
  • Başar Öztayşi

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. Supplier Evaluation Under Fuzziness

    1. Front Matter
      Pages 1-1
    2. Atefeh Amindoust, Ali Saghafinia
      Pages 3-19
    3. Ozlem Senvar, Gülfem Tuzkaya, Cengiz Kahraman
      Pages 21-34
    4. Adesh Jinturkar, Sandip Deshmukh, Avinash Sarode, Vivek Sunapwar, Prakash Khodke
      Pages 35-59
    5. Başar Öztayşi, Mine Işık
      Pages 61-79
    6. 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
    2. Yuh-Wen Chen, Moussa Larbani
      Pages 103-141
    3. Ozlem Senvar, Umut Rifat Tuzkaya, Cengiz Kahraman
      Pages 143-165
    4. Kaveh Khalili-Damghani, Soheil Sadi-Nezhad, Farhad Hosseinzadeh-Lotfi
      Pages 167-198
  4. Planning, Controlling, and Improving Supply Chain Under Fuzziness

    1. Front Matter
      Pages 225-225
    2. Francisco Campuzano-Bolarín, Josefa Mula, David Peidro
      Pages 227-241
    3. Başar Öztayşi, Eda Bolturk
      Pages 243-268
    4. Alexandr Bozhenyuk, Evgeniya Gerasimenko
      Pages 269-291
    5. Leonid B. Sheremetov, Alexander V. Smirnov
      Pages 293-314
  5. Production and Materials Management Under Fuzziness

    1. Front Matter
      Pages 315-315
    2. Johannes Hegeman, David Peidro, María del Mar Alemany, Manuel Díaz-Madroñero
      Pages 317-353

About this book

Introduction

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.

Keywords

Fuzzy decision-making trial and evaluation laboratory Fuzzy inference systems Fuzzy multiple criteria decision making Green and reverse logistics under fuzziness Optimization in supply chain under fuzziness SCM Supplier evaluation under fuzziness Supply chain planning under fuzziness Warehouse management under fuzziness

Editors and affiliations

  • Cengiz Kahraman
    • 1
  • Başar Öztayşi
    • 2
  1. 1.Department of Industrial EngineeringIstanbul Technical UniversityİstanbulTurkey
  2. 2.Department of Industrial EngineeringIstanbul Technical UniversityİstanbulTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-53939-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-53938-1
  • Online ISBN 978-3-642-53939-8
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Biotechnology
Electronics
Telecommunications
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences