【讲座预告】管理科学前沿论坛第30期暨Job Talk第1期:Optimal Policies for a Dual-Sourcing Inventory Problem with Endogenous Stochastic Lead Times

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讲座题目:Optimal Policies for a Dual-Sourcing Inventory Problem with Endogenous Stochastic Lead Times
主讲人:肖皪 博士 (新加坡国立大学博士,香港中文大学博士后)                           
时间: 2016年12月20日(周二)10:00-12:00
地点: 文科楼1400会议室
主持人:马利军 副教授 管理科学系副主任
 
讲座摘要

     We consider a single-product, two-source inventory system with Poisson demand and backlogging. Inventory can be replenished through a normal supply source, which consists of a two-stage tandem queue with exponential production time at each stage. We can also place an emergency order by skipping the first stage, for a fee. There is no fixed order cost. There are linear order, holding and backorder costs. Through a new approach, we obtain optimal ordering policies for the discounted or long-run average cost, and also characterize near-optimal heuristic policies. The approach consists of four steps. The first step is to establish an equivalent system, in the sense that it has the same optimal policy as the original system. The second step is to construct a tandem queueing system, where costs are charged in accord with the equivalent system’s cost structure. The third step derives an optimal control of the service rate at each server so as to minimize the tandem queue’s system-wide cost. The fourth and final step is to translate the queue’s optimal policy to an optimal policy for the equivalent system and hence the original system.
 
主讲人简介 
             
    肖皪,现为香港中文大学商学院的博士后研究员。她先后于2008年获得武汉大学信息与计算科学学士学位,2010年获得中国科学院运筹学和控制论硕士学位,并于2015年在新加坡国立大学获得决策科学博士学位。她于2015年8月至2016年8月在香港中文大学商学院担任助理研究教授,随后成为香港中文大学商学院的博士后研究员,她的研究兴趣主要集中在随机模型的领域,重点分析和控制服务系统和供应链。以第一作者发表多篇SCI或SSCI国际期刊论文,期刊涵盖Operations Research等。
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深圳大学 管理学院
管理科学系
                    2016年12月14日
 
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