Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches
eBook - ePub

Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches

  1. 174 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches

About this book

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.

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Yes, you can access Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches by Jiuping Xu, Mitsuo Gen, Zongmin Li, YoungSu Yun, Jiuping Xu,Mitsuo Gen,Zongmin Li,YoungSu Yun in PDF and/or ePUB format, as well as other popular books in Business & Management. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Routledge
Year
2023
Print ISBN
9781032634388
eBook ISBN
9781003830733
Topic
Business
Subtopic
Management
Index
Business

Table of contents

  1. Half Title
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Citation Information
  6. Notes on Contributors
  7. Dedication Page
  8. Introduction: sustainable Logistics Systems using AI-based Meta-Heuristics Approaches
  9. 1 Applying GA-VNS approach to supply chain network model with facility and route disruptions
  10. 2 Edge boundary variable neighborhood strategy adaptive search for a vegetable crop land allocation problem
  11. 3 Multi-criteria decision-making methods for the evaluating of a real green supply chain in companies with fast-moving consumer goods
  12. 4 Multi-objective grouping genetic algorithm for the joint order batching, batch assignment, and sequencing problem
  13. 5 Green supply chain management framework for supplier selection: an integrated multi-criteria decision-making approach
  14. 6 A dynamic multi-objective green supply chain network design for perishable products in uncertain environments, the coffee industry case study
  15. 7 Robust and resilient supply chain network design considering risks in food industry: flavour industry in Iran
  16. 8 Modeling resilient supplier selection criteria in desalination supply chain based on fuzzy DEMATEL and ISM
  17. 9 Designing a data-driven leagile sustainable closed-loop supply chain network
  18. 10 Designing an integrated decision support system to link supply chain processes performance with time to market
  19. 11 Application of expected value and chance constraint on uncertain supply chain model with cost, risk and visibility for COVID-19 pandemic
  20. 12 Optimal storage and shipment management of perishable agri-products with a hybrid priority policy: a case study
  21. Index