
Supply Chain Management Under Fuzziness: Recent Developments and Techniques: 313 Softcover reprint of the original 1st ed. 2014 Edition
Author(s): Cengiz Kahraman (Editor), Başar Öztayşi
- Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
- Publication Date: 3 September 2016
- Edition: Softcover reprint of the original 1st ed. 2014
- Language: English
- Print length: 679 pages
- ISBN-10: 3662511185
- ISBN-13: 9783662511183
Book Description
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.
Editorial Reviews
From the Back Cover
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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