Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches

Jiuping Xu, Mitsuo Gen (Fuzzy Logic Systems Institute, Japan), Zongmin Li , YoungSu Yun (Chosun University, Republic of Korea)

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English

Routledge
22 December 2023

Economics; Production & quality control management; Engineering: general; Environmental science, engineering & technology; Computing: general

This book introduces and analyses recent trends and studies of sustainable logistics systems using AI-based meta-heuristics approaches, including AI-based meta-heuristics applied to supply chain network models, integrated multi-criteria decision-making approaches for green supply chain management, uncertain supply chain models etc. It emphasizes both theory and practice, providing methodological and theoretical basis as well as case references for sustainable logistics systems using AI based meta-heuristics.

Most of multi-national enterprises today face the challenge of sustainable development for their logistics systems trying to meet or exceed customer expectations. Sustainable development attracts both researchers and industrial practitioners who are focused on the design and implementation of logistics system. AI-based meta-heuristics approaches has emerged as a capable method for quickly providing optimal or near-optimal solutions for the problems that exact optimization cannot solve. Recent advances in various AI-based meta-heuristics approaches can resolve various and complex logistics and supply chain problem types. This book mainly encompasses the most popular and frequently employed AI-based meta-heuristics approaches such as genetic algorithm, variable neighborhood search, multi-objective heuristic search and the hybrid of these approaches.

The chapters in this book were originally published in the International Journal of Management Science and Engineering Management.

Edited by: Jiuping Xu, Mitsuo Gen (Fuzzy Logic Systems Institute, Japan), Zongmin Li, YoungSu Yun (Chosun University, Republic of Korea)
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 297mm, Width: 210mm,
Weight: 500g
ISBN: 9781032634388
ISBN 10: 1032634383
Pages: 174
Publication Date: 22 December 2023
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

Jiuping Xu is Associate Vice President of Sichuan University, P.R. China, and Editor-in-Chief of International Journal of Management Science and Engineering Management. His research interests include decision science, engineering management, and management science. Mitsuo Gen is Senior Research Scientist of Fuzzy Logic Systems Institute and Visiting Professor at Tokyo University of Science, Japan. His research interests include soft computing, evolutionary algorithms, intelligent manufacturing, and sustainable closed supply chain. Zongmin Li is Professor of Business School, Sichuan University, P. R. China, and Managing Editor of International Journal of Management Science and Engineering Management. Her research interests include data-driven decision making and big data analytics. YoungSu Yun is Professor of Division of Business Administration at Chosun University, South Korea. His research interests include sustainable closed supply chain system, engineering optimization design and evolutionary algorithms.