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新加坡管理大学李光前商学院运营管理系博士后酒松学术讲座
作者:陈丹    发布时间:2018-09-21    访问次数:  
 

讲座时间:10月8日 15:00

讲座地点:0411

讲座主题: Matching Supply with Demand for Online Retailing

讲座摘要: We consider an online retailer selling multiple products over a multi-period horizon. At the start of each period, the retailer replenishes the products from multiple suppliers, and allocates the received inventory to multiple fulfillment centers. At the end of each period, the retailer fulfills the realized demands of different zones from different fulfillment centers. This joint replenishment, allocation, and fulfillment problem is generally intractable due to stochastic demand, which motivates us to develop a two-stage approach based on robust optimization to solve it. The first stage determines whether a product should be replenished from each supplier in each period (a binary decision). We pass these binary decisions to the second stage, where we determine the replenishment, allocation, and fulfillment quantities. A case study with a major fashion online retailer in Asia suggests that our approach outperforms the retailer’s current practice by 36%. Other numerical studies suggest that our approach outperforms existing approaches that handle binary recourse decisions, and performs very close to a benchmark with perfect information.

个人简介: Song JIU is currently a postdoctoral research fellow at the Lee Kong Chian School of Business, Singapore Management University. He received his Ph.D. in Operations Research from the School of Management, Xi’an Jiaotong University. After that, he worked as a postdoctoral research fellow at the Nanyang Business School, Nanyang Technology University from January 2015 to March 2016, and at the Lee Kong Chian School of Business, Singapore Management University from 2016 to present. His research interests include production and logistic optimization, e-commerce and omni-channel retailing, and robust optimization. His work has appeared in journals such as International Journal of Production Research, etc..

 

 

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