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Kumar / Bhat / Ejegwa / Bhardwaj
Fuzzy Decision-Making Algorithms
Mathematical Optimization, Metaheuristic Optimization, Supply Chain Management
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Bibliografische Daten
eBook. ePub. Weiches DRM (Wasserzeichen)
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2026
45 s/w-Abbildungen, 67 s/w-Tabelle.
In englischer Sprache
Umfang: 300 S.
Verlag: De Gruyter
ISBN: 978-3-11-222254-6
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: De Gruyter Series on the Applications of Mathematics in Engineering and Information Sciences
Produktbeschreibung
This book looks at how to combine metaheuristic optimization algorithms and fuzzy decision-making methods to improve the sustainability and effectiveness of supply chains. Mathematical and metaheuristic optimization methods based on natural processes, combined with fuzzy decision-making, enable the construction of models that can effectively address the multifaceted issues of contemporary supply chains. This book offers a variety of decision-making techniques, including entropy measures, distance measures, coefficient correlation, aggregating operators, TOPSIS, EDAS, and more. This book overcomes the drawbacks of existing fuzzy decision-making methods. The book also presents case studies that demonstrate the application of metaheuristic decision-making algorithms to improve the sustainability and viability of supply chains. One such notable example is green supplier selection in supply chain management. The changing supply chain management landscape offers many areas for future research, like investigating the intersection of mathematical and metaheuristic fuzzy decision-making algorithms with new technologies such as the Internet of Things (IoT) and artificial intelligence, which can create more responsive and adaptive supply chains.
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De Gruyter GmbH
Genthiner Straße 13
10785 Berlin, DE
productsafety@degruyterbrill.com
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Kumar / Bhat / Ejegwa / Bhardwaj
Fuzzy Decision-Making Algorithms
ISBN 978-3-11-222254-6
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