Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fuzzy Decision-Making Algorithms: Mathematical Optimization, Metaheuristic Optimization, Supply Chain Management

Fuzzy Decision-Making Algorithms: Mathematical Optimization, Metaheuristic Optimization, Supply Chain Management

Kumar, Kamal
Bhat, Shahid Ahmad
Ejegwa, Paul Augustine

Hardcover

Series: de Gruyter the Applications of Mathematics in Engineering and Information

General ComputersGeneral MathematicsProbability & Statistics

ISBN10: 3119142662
ISBN13: 9783119142663
Publisher: de Gruyter
Published: May 18 2026
Pages: 300
Weight: 1.50
Height: 0.69 Width: 6.69 Depth: 9.61
Language: English

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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