来源：管理科学与工程系
主 题: Preparedness with a System Integrating Inventory, Capacity, and Capability for Future Pandemics and Other Disasters
主讲人：李木森(上海大学管理学院讲师)
时 间：2022年11月2日 (周三) 上午10:00
地 点：线上会议室
语 言：中/英文
讲座摘要：
The chaotic response of the Strategic National Stockpile to COVID-19 during 2020 highlighted the inadequacy of the inventory-based approaches to disaster response. This paper examines the integration of stockpile inventory, backup capacity, and standby capability to meet the disaster-related surge in demand in the future. We present a two-period model of such an integrated system for consumable items with uncertain demand that follows a general probability distribution. Our model incorporates standby capability in period 1 that can be converted to additional capacity for use in period 2, with the conversion yield being deterministic or stochastic. Our main results are: (1) Adding capacity in addition to inventory is beneficial only when the capacity reservation-related costs are relatively lower than the inventory-related costs. In this case, adding capacity will decrease the inventory needed in both periods, the shortfall probability, and the total expected cost. (2) Adding capability in period 1 is cost-effective only when the ratio of capability-development cost to conversion yield is lower than the capacity reservation cost. In this case, investing in capability results in less inventory and less reserved capacity in period 2. (3) Higher uncertainty in capability conversion yield reduces the attraction of developing capability in period 1. Consequently, less capability would be developed in period 1, while more inventory and capacity would be needed in period 2 in the face of a higher shortfall probability.
主讲人简介：
Dr. Musen Li is currently an Assistant Professor at School of Management, Shanghai University. He received his PhD degree in management science and engineering and B.E. degree in industrial engineering from Tsinghua University. His current research interests include socially responsible operations and data-driven decision making. He has published two research papers in Production and Operations Management.
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