報告題目：Patient Scheduling: Empirical Evidence and Analytical Insights

報告所屬學科：管理科學與工程

報告人：Hossein Abouee Mehrizi（加拿大滑鐵盧大學）

報告時間：2020年12月9日 09:00

報告地點：ZOOM：763 086 2328

報告摘要：

Using large scale data of MRI services, we measure service duration and show that a number of covariates, including the shift during which the procedure is performed, case mix of the proceeding patients, congestion, and batching of similar procedures affect service duration. We observe that the magnitude of the effect of various mechanisms on service duration may depend on the server type (teaching or community hospital), and customer type (high priority versus low priority patient). For instance, in general, service duration during the night shift is significantly shorter than the day shift, and the decrease is higher for low-priority patients or in community hospital settings. We also show that the inverted-U-shaped relationship observed between the service duration and workload in the literature depends on the priority level. Surprisingly, while this mechanism holds for high priority patients, it is completely vice-versa for low priority patients. We then provide a discrete-time data-driven model of the problem in a finite horizon setting. We analyze the proposed model and provide an analytical gap between the wait cost of different priority levels under the optimal offline policy and a class of online scheduling polices. We validate the results using real world data.

報告人簡介：

Hossein Abouee Mehrizi，是加拿大滑鐵盧大學管理科學系副教授，現任NRL和HCMS期刊的Associate Editor。他研究方向為服務系統（包括衛生服務系統）的實證分析研究、復雜隨機系統的數據驅動建模、隨機過程、統計學習。他先后在OR、POM、NRL、EJOR、MSOM、DS等國際著名期刊上發表了20多篇論文。他受邀在INFORMS年會等30余場會議上作專題報告，并擔任OR、MS、MSOM、POM、NRL、EJOR等15個著名期刊的審稿人。