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
- 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
- Engineering Economics
Table of contents (28 chapters)
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Supplier Evaluation Under Fuzziness
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Supply Chain Performance Measurement Under Fuzziness
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Planning, Controlling, and Improving Supply Chain Under Fuzziness
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Production and Materials Management Under Fuzziness
Editors and Affiliations
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