Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches
Herausgeber: Xu, Jiuping; Li, Zongmin; Yun, Youngsu; Gen, Mitsuo
Sustainable Logistics Systems Using AI-based Meta-Heuristics Approaches
Herausgeber: Xu, Jiuping; Li, Zongmin; Yun, Youngsu; Gen, Mitsuo
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This book emphasizes both theory and practice, providing methodological and theoretical basis as case references for Sustainable Logistics Systems using AI based Meta Heuristics. It encompasses the most frequently employed AI-based meta-heuristics approaches.
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This book emphasizes both theory and practice, providing methodological and theoretical basis as case references for Sustainable Logistics Systems using AI based Meta Heuristics. It encompasses the most frequently employed AI-based meta-heuristics approaches.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 174
- Erscheinungstermin: 22. Dezember 2023
- Englisch
- Abmessung: 214mm x 307mm x 18mm
- Gewicht: 728g
- ISBN-13: 9781032634388
- ISBN-10: 1032634383
- Artikelnr.: 69431949
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 174
- Erscheinungstermin: 22. Dezember 2023
- Englisch
- Abmessung: 214mm x 307mm x 18mm
- Gewicht: 728g
- ISBN-13: 9781032634388
- ISBN-10: 1032634383
- Artikelnr.: 69431949
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.
Introduction - Sustainable Logistics Systems using AI-based Meta-Heuristics
Approaches 1. Applying GA-VNS approach to supply chain network model with
facility and route disruptions 2. Edge boundary variable neighborhood
strategy adaptive search for a vegetable crop land allocation problem 3.
Multi-criteria decision-making methods for the evaluating of a real green
supply chain in companies with fast-moving consumer goods 4.
Multi-objective grouping genetic algorithm for the joint order batching,
batch assignment, and sequencing problem 5. Green supply chain management
framework for supplier selection: an integrated multi-criteria
decision-making approach 6. A dynamic multi-objective green supply chain
network design for perishable products in uncertain environments, the
coffee industry case study 7. Robust and resilient supply chain network
design considering risks in food industry: flavour industry in Iran 8.
Modeling resilient supplier selection criteria in desalination supply chain
based on fuzzy DEMATEL and ISM 9. Designing a data-driven leagile
sustainable closed-loop supply chain network 10. Designing an integrated
decision support system to link supply chain processes performance with
time to market 11. Application of expected value and chance constraint on
uncertain supply chain model with cost, risk and visibility for COVID-19
pandemic 12. Optimal storage and shipment management of perishable
agri-products with a hybrid priority policy: a case study
Approaches 1. Applying GA-VNS approach to supply chain network model with
facility and route disruptions 2. Edge boundary variable neighborhood
strategy adaptive search for a vegetable crop land allocation problem 3.
Multi-criteria decision-making methods for the evaluating of a real green
supply chain in companies with fast-moving consumer goods 4.
Multi-objective grouping genetic algorithm for the joint order batching,
batch assignment, and sequencing problem 5. Green supply chain management
framework for supplier selection: an integrated multi-criteria
decision-making approach 6. A dynamic multi-objective green supply chain
network design for perishable products in uncertain environments, the
coffee industry case study 7. Robust and resilient supply chain network
design considering risks in food industry: flavour industry in Iran 8.
Modeling resilient supplier selection criteria in desalination supply chain
based on fuzzy DEMATEL and ISM 9. Designing a data-driven leagile
sustainable closed-loop supply chain network 10. Designing an integrated
decision support system to link supply chain processes performance with
time to market 11. Application of expected value and chance constraint on
uncertain supply chain model with cost, risk and visibility for COVID-19
pandemic 12. Optimal storage and shipment management of perishable
agri-products with a hybrid priority policy: a case study
Introduction - Sustainable Logistics Systems using AI-based Meta-Heuristics
Approaches 1. Applying GA-VNS approach to supply chain network model with
facility and route disruptions 2. Edge boundary variable neighborhood
strategy adaptive search for a vegetable crop land allocation problem 3.
Multi-criteria decision-making methods for the evaluating of a real green
supply chain in companies with fast-moving consumer goods 4.
Multi-objective grouping genetic algorithm for the joint order batching,
batch assignment, and sequencing problem 5. Green supply chain management
framework for supplier selection: an integrated multi-criteria
decision-making approach 6. A dynamic multi-objective green supply chain
network design for perishable products in uncertain environments, the
coffee industry case study 7. Robust and resilient supply chain network
design considering risks in food industry: flavour industry in Iran 8.
Modeling resilient supplier selection criteria in desalination supply chain
based on fuzzy DEMATEL and ISM 9. Designing a data-driven leagile
sustainable closed-loop supply chain network 10. Designing an integrated
decision support system to link supply chain processes performance with
time to market 11. Application of expected value and chance constraint on
uncertain supply chain model with cost, risk and visibility for COVID-19
pandemic 12. Optimal storage and shipment management of perishable
agri-products with a hybrid priority policy: a case study
Approaches 1. Applying GA-VNS approach to supply chain network model with
facility and route disruptions 2. Edge boundary variable neighborhood
strategy adaptive search for a vegetable crop land allocation problem 3.
Multi-criteria decision-making methods for the evaluating of a real green
supply chain in companies with fast-moving consumer goods 4.
Multi-objective grouping genetic algorithm for the joint order batching,
batch assignment, and sequencing problem 5. Green supply chain management
framework for supplier selection: an integrated multi-criteria
decision-making approach 6. A dynamic multi-objective green supply chain
network design for perishable products in uncertain environments, the
coffee industry case study 7. Robust and resilient supply chain network
design considering risks in food industry: flavour industry in Iran 8.
Modeling resilient supplier selection criteria in desalination supply chain
based on fuzzy DEMATEL and ISM 9. Designing a data-driven leagile
sustainable closed-loop supply chain network 10. Designing an integrated
decision support system to link supply chain processes performance with
time to market 11. Application of expected value and chance constraint on
uncertain supply chain model with cost, risk and visibility for COVID-19
pandemic 12. Optimal storage and shipment management of perishable
agri-products with a hybrid priority policy: a case study