【主题】Inventory Management of Platelets in Hospitals: Optimal Inventory Policy for Perishable Products with Regular and Optional Expedited Replenishments
【时间】2011-3-2113:30 - 15:00
【地点】ROOM 453, Weilun Building, Tsinghua SEM
【语言】中文
【内容摘要】
Platelets are short-life blood components used in hospital blood transfusion centers. Excluding time for transportation, testing, and arrangement, clinically transfusable platelets have a mere three-day life-span. This paper analyzes a periodic review inventory system for such a perishable product under two replenishment modes. Regular orders are placed at the beginning of a cycle. Within the cycle, the manager has an option of placing an additional order, referred to as an expedited order, characterized by an order-up-to level policy. For this platelet inventory problem, we prove the existence and uniqueness of an optimal policy that minimizes the expected cost. We then derive the necessary and sufficient conditions for the policy, based on which an algorithm is developed. Using real-life data, we provide a numerical illustration and a sensitivity analysis, followed by extensive simulation experiments to examine the dynamics of platelet inventory management. It is shown that the optimal cost is significantly affected by demand uncertainty, lead times, seasonality, and vintage of expedited orders. Given a hospital’s demand profile and the cost parameters, we are able to determine whether the hospital should order daily, or every other day (i.e., adopting a combined use of regular and optional expedited orders). This inventory research problem can be classified as a fixed lifetime perishable problem with dual modes of replenishments.
【主讲人简介】
Dr. Deming Zhou is an Assistant Professor at The Chinese University of Hong Kong (CUHK). He holds a Bachelor of Engineering and Master of Management Science and Engineering from Tsinghua University and a Ph.D. in Management from the Anderson School of Management at UCLA. Deming Zhou's research interests are in supply chain contract design, supply chain competitions, logistics, and health care related operation management issues.
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