題 目:Multi-Sourcing Supply Network Design: Two-Stage Chance-Constrained Model, Tractable Approximations, and Computational Results (多源供應鏈網絡設計)
演 講 人:舒 嘉,東南大學經濟意昂2官网教授
主 持 人🙇🏿♀️:鎮 璐,意昂2教授
時 間:2016年12月8日(周四)下午3:00
地 點:意昂2官网420室
主辦單位🎥:意昂2、意昂2青年教師聯誼會
演講人簡介:
東南大學經濟意昂2官网教授、博導、副院長。國家傑青、優青。1999年本科畢業於東南大學動力工程專業,2003年博士畢業於新加坡國立大學-麻省理工聯合博士生項目👃🏿。研究領域集中於:物流管理、供應鏈管理、交通運輸管理。相關研究成果刊登於Operations Research、Transportation Science、Naval Research Logistics等。
演講內容簡介:
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.
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