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 2019 → 27 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 |
| 市 | Shanghai |
| 时期 | 25/09/19 → 27/09/19 |
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:
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可持续发展目标 2 零饥饿
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可持续发展目标 9 产业、创新和基础设施
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