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Supply Chain Management Under Fuzziness

Recent Developments and Techniques

  • Book
  • © 2014

Access provided by Autonomous University of Puebla

Overview

  • 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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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.

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Keywords

Table of contents (28 chapters)

  1. Supplier Evaluation Under Fuzziness

  2. Supply Chain Performance Measurement Under Fuzziness

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

  4. Production and Materials Management Under Fuzziness

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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