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Closed-loop food supply chain design and optimization with reusable and shareable transport items under uncertainty
- 来源：
- 学校官网
- 收录时间：
- 2026-03-17 19:20:24
- 时间：
- 2026-01-07 10:00:00
- 地点：
- 延安路校区旭日楼310室
- 报告人：
- 储凤
- 学校：
- 东华大学
- 关键词：
- closed-loop supply chain, food supply chain, reusable transport items, shared RTI, uncertainty, optimization, circular economy
- 简介：
- Resource scarcity has driven growing interest in the circular economy (CE). Closed-loop supply chain (CLSC) with returnable transport items (RTIs) in the food industry is an important domain of CE. Based on the literature review on the food CLSC with RTIs, several research gaps are identified as follows: 1) no study explores a shared RTI strategy, despite its widespread application in many companies and its ability to improve supply chain (SC) performance; 2) no study addresses integrated CLSC problems with RTIs under uncertainty, even though facility location and uncertainty can directly impact SC efficiency; and 3) while some research investigates operational risks, SC management under disruption remains unexplored. To address these gaps, this study examines three novel food CLSC management problems with RTIs.
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报告介绍：
Resource scarcity has driven growing interest in the circular economy (CE). Closed-loop supply chain (CLSC) with returnable transport items (RTIs) in the food industry is an important domain of CE. Based on the literature review on the food CLSC with RTIs, several research gaps are identified as follows: 1) no study explores a shared RTI strategy, despite its widespread application in many companies and its ability to improve supply chain (SC) performance; 2) no study addresses integrated CLSC problems with RTIs under uncertainty, even though facility location and uncertainty can directly impact SC efficiency; and 3) while some research investigates operational risks, SC management under disruption remains unexplored. To address these gaps, this study examines three novel food CLSC management problems with RTIs.
报告人介绍：
Chu Feng(储凤)是法国国家特级教授，巴黎萨克雷大学Evry Campus, QLIO Department系主任。法国教育部科技精英奖(PES)获得者、法国教育部优秀博导奖(PEDR) 连续20年获得者。主要研究领域为运筹学、多目标优化、随机优化。应用领域为智能交通系统管理，可持续物流供应链设计、优化、及风险管理,循环经济下生产系统计划、调度优化等。在国际高水平期刊上发表论文200余篇，在国际知名学术出版机构(IEEE/Wiley、Springer、IGI Global等)出版多部专著。主持承担了多项国际合作研究项目、法国中央、地方政府资助项目、中国国家自然科学基金项目。
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