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Bi-objective optimization for closed-loop food supply chain involving returnable transport items

  • Northwestern Polytechnical University Xian
  • Biologie Intégrative et Systèmes Complexes (IBISC)

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

This paper investigates a multi-period closed-loop food supply chain planning problem. Returnable transport items are used to ship food products from a single manufacturer to multiple retailers. Food quality deteriorates over periods. Both economic and environmental issues are taken into consideration. For the problem, we propose a bi-objective mixed integer linear program to simultaneously maximize the total profit and minimize the carbon emissions of the holistic supply chain. Aiming to obtain the Pareto front of the problem, we adapt an \varepsilon -constraint method to transform the bi-objective model into a series of single-objective ones which are optimally solved by CPLEX. Computational experiments conducted on randomly generated instances and an illustrative example demonstrate the validity and effectiveness of the proposed model.

源语言英语
主期刊名Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
编辑Feifeng Zheng, Feng Chu, Ming Liu
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728115665
DOI
出版状态已出版 - 9月 2019
活动2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 - Shanghai, 中国
期限: 25 9月 201927 9月 2019

出版系列

姓名Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

会议

会议2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
国家/地区中国
Shanghai
时期25/09/1927/09/19

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 2 - 零饥饿
    可持续发展目标 2 零饥饿
  2. 可持续发展目标 9 - 产业、创新和基础设施
    可持续发展目标 9 产业、创新和基础设施

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