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)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。现任International Journal of Production Research、IEEE Transactions Intelligent Transportation Systems、IEEE 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。在国际高水平期刊上发表论文 200 余篇(包括 IEEE Transactions on ITS、SMC 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/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。