20240419法国巴黎萨克雷大学Chu Feng教授学术报告

发布时间:2024-04-09 


报告主题:Stochastic and multi-criteria optimization forremanufacturing industry

报告人:Chu Feng教授

报告时间:419日上午1000

报告地点:旭日楼306教室

主持人:郑斐峰 教授



报告简介

End-of-Life (EOL)products disassembly in remanufacturing, such as automobile, mobile phone, etc, has received extensive attention in recent years owing to their advantages in saving non-renewable resources,protecting the environment and promoting economic growth. In the existing literature, 1) most of stochastic disassembly line balancing problems assume that the probability distributions of uncertain parameters are known; 2) majority of disassembly line balancing problems focus on single product; 3) few works study the disassembly line balancing related reverse supply chain (RSC) design problems. To reduce these research gaps, three new disassembly line balancing related problems are investigated. Firstly, a single product disassembly line balancing problem(DLBP) with partial information of task processing times is studied. Secondly, a new stochastic multi-product DLBP with uncertain task processing time is addressed. Finally, a novel multi-product disassembly line balancing related RSC design problem is investigated, where EOL products supply, components demand and task processing times are assumed to be uncertain.

报告人简介

Chu Feng(储凤)教授是法国国家特II级教授,巴黎萨克雷大学IBISC实验室AROBAS研究团队负责人,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) 获得者。入选2017年福建省闽江学者、2016年四川省千人计划、2013年安徽省首批外专百人计划、合肥工业大学黄山学者。 现任International Journal of Production ResearchIEEE Transactions Intelligent Transportation SystemsIEEE Transactions on Automation Science and Engineering 副主编。

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。尤其在国际上率先提出并领导其研究团队研究了智能交通系统专道设计和优化,可持续食品供应链设计、运行和优化,time of use tariffs背景下生产调度系统模拟和优化。其众多前沿性研究成果被国际同行广泛引用。围绕上述研究领域,在国际高水平期刊上发表论文200 余篇(包括IEEE Transactions on ITSSMC and TASE 30 余篇、IJPR 30 余 篇、EJOR 10 余篇、CIE 10 余篇、COR 9篇、TR C&E 5 篇、OMEGA4 篇等)。在国际知名学术出版机构(IEEE/WileySpringerIGI Global )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。