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报告题目:Matching Supply with Demand for Online Retailing
报告时间:2018年9月27日 14:30-18:00
地点:南校区信远2区324报告厅
报告摘要:
      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 fulfillmentcenters. At the end of each period, the retailer fulfills the realized demands of different zones from different fulfillmentcenters. 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. Numerical studies suggest that our approach outperforms existing approaches that handle binary recourse decisions, and performs very close to a benchmark with perfect information.A case study with a major fashion online retailer in Asia suggests that our approach outperforms the retailer’s current practice by 36%.
本人简介:
     酒松,男,博士。现任新加坡管理大学李光前商学院博士后研究员。2014年博士毕业于西安交通大学管理学院工业工程系。2015年至今先后在南洋理工大学南洋商学院信息系统与运营管理系和新加坡管理大学李光前商学院运营管理系从事博士后研究工作。主要研究方向包括生产运作管理、网络和全渠道零售商物流管理、鲁棒优化等。研究成果发表在International Journal of Production Research等国内外知名学术期刊上。工作论文投稿至UTD24期刊Manufacturing and Service Operations Management,现处于修改阶段。美国运筹学和管理学研究协会(INFORMS)会员,并多次在INFORMS以及POMS-HK年度会议上做学术报告。先后参与多项研究课题,包括新加坡政府Academic Research Fund Tier 1、陕西省自然科学基金等。
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