时间🚣🏿‍♀️🔓：12月9日（星期二）下午4🔬：00 - 5：00

地点：系北510会议室

报告人：Nan Liu，Department of Statistics and Operations Research，University of North Carolina at Chapel Hill

报告题目：Dynamic Scheduling of Outpatient Appointments under Patient No-shows and Cancellations

报告摘要：

In this talk we develop a framework and propose heuristic dynamic policies for scheduling outpatient appointments taking into account the fact that patients may cancel or not show up for their appointments. The heuristic is obtained by applying a single step of the policy-improvement algorithm on a “good” initial policy. In a simulation study that considers a “model clinic,” which is created using data obtained from the University of North Carolina Department of Family Medicine, we find that the proposed heuristics outperform all the other benchmark policies, particularly when the patient load is high compared with the regular capacity. We find that the Open Access policy, a popular scheduling paradigm proposed recently which calls for “meeting today’s demand today,” can be a reasonable choice when the patient load is relatively low, supporting earlier findings in the literature.

报告人简历：

Mr. Nan Liu received his Bachelor degree in Civil Engineering from Tsinghua University in 2002, and a Master degree in Transportation Engineering from National University of Singapore in 2004. He is currently a PhD candidate in the Department of Statistics and Operations Research, University of North Carolina at Chapel Hill. His research interests are stochastic modeling and analysis, and their applications in health care, inventory control and workforce management. He has published papers in scholarly journals such as Probability in the Engineering and Informational Sciences, ASCE Journal of Computing in Civil Engineering, Decision Support Systems and Transportation Research Record.

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