题 目：Multi-Sourcing Supply Network Design: Two-Stage Chance-Constrained Model, Tractable Approximations, and Computational Results （多源供应链网络设计）

　　演 讲 人：舒 嘉，东南大学经济管理学院教授

　　主 持 人：镇 璐，上海大学管理学院教授

　　时 间：2016年12月8日（周四）下午3:00

　　地 点：管理学院420室

　　主办单位：上海大学管理学院、上海大学管理学院青年教师联谊会

　　演讲人简介：

　　东南大学经济管理学院教授、博导、副院长。国家杰青、优青。1999年本科毕业于东南大学动力工程专业，2003年博士毕业于新加坡国立大学-麻省理工联合博士生项目。研究领域集中于：物流管理、供应链管理、交通运输管理。相关研究成果刊登于Operations Research、Transportation Science、Naval Research Logistics等。

　　演讲内容简介：

　　In this paper, we study a multi-sourcing supply network design problem, in which each retailer faces uncertain demand and can source products from more than one distribution center (DC). The decisions to be simultaneously optimized include DC locations and inventory levels, which set of DCs serves each retailer, and the amount of shipments from DCs to retailers. We propose a nonlinear mixed integer programming model with a joint chance constraint describing a certain service level. Two approaches --- a set-wise approximation and a Linear Decision Rule based approximation --- are constructed to robustly approximate the service level chance constraint with incomplete demand information. Both approaches yield sparse multi-sourcing distribution networks that effectively match uncertain demand using on-hand inventory, and hence successfully reach a high service level. We show through extensive numerical experiments that our approaches outperform other commonly adopted approximations of the chance constraint.