国产自拍视频

时间Time:2025年6月9日上午9:00 (09:00 AM, 9 June, 2025)

地点Venue:东校区财科馆317会议室(Room 317, E&F Hall, East Campus)

题目Title: Adaptive Behaviour of Service Providers to Schedule Deviations and Its Consequences: Evidence from Operating Rooms

摘要Abstract:We study how clinical teams adaptively respond to real-time deviations from the planned operating room (OR) schedules and the associated consequences of these responses. Specifically, we explore whether clinical personnel adjust their service speed when they are ahead of or behind the original schedule and whether this affects patient reoperation rates. We then analyze the complicated relationships between OR schedules, patient wait times, and reoperations to offer recommendations for achieving the best speed-quality tradeoff. Our empirical investigation utilizes a unique dataset that includes both actual and scheduled surgery timestamps. We construct a dynamic panel  model and apply the Arellano-Bond estimator to identify adaptive behaviour. We use an instrumental variable (IV) approach to address potential endogeneity in estimating the effects of surgical speed and patient wait times on reoperations. The empirical study reveals that surgical and cleaning teams tend to speed up when falling behind schedule and slow down when ahead, with the slowdown effect being more pronounced. Furthermore, the findings indicate that the reoperation rate increases with patient waiting time but decreases with surgical duration. Building on these insights, we model the surgical waitlist as an M/M/1 queue, where the patient returning rate depends on both waiting time and service rate. We use this model to identify how surgery job allowance affects tradeoffs between patient wait time and surgery quality. The queuing model demonstrates that increasing the average time allowance for surgeries, despite prolonging patient wait times, ultimately decreases reoperation rates under mild assumptions. By varying the time allowance, we derive Pareto curves that illustrate the tradeoffs between reoperation rates and average patient wait times. This provides actionable guidance for surgical departments to schedule their procedures. (Authors: Yiwen Jin, Yichuan Ding, Steven M. Shechter, Jugpal Arneja)

主讲人简介Bio of Speaker：

Dr.Yichuan Ding (丁弋川) is an Associate Professor at the Desautels Faculty of Management, McGill University, where he holds the title of Desautels Faculty Scholar and serves as the Academic Director of the Global Manufacturing and Supply Chain Management (GMSCM) Master's Program. He earned his Ph.D. in Management Science and Engineering from Stanford University in 2012. Dr. Ding's research focuses on applying operations research and data analytics to enhance the efficiency and equity of healthcare delivery systems. His research has been published in leading journals such asOperations Research, Mathematics of Operations Research, Manufacturing & Service Operations Management (M&SOM), andProduction and Operations Management (POM). His work has been recognized with several honors, including winning the 2023 POMS College of Healthcare Operations Management Best Paper Competition and being named a finalist for the 2019 Pierskalla Best Paper Competition and the 2017 INFORMS Behavioral Operations Management Best Working Paper Competition. Dr. Ding currently serves as an Associate Editor forM&SOM, Service Science, andOperations Research Letters. He co-chaired the 2023 INFORMS MSOM Conference in Montreal. Dr. Ding served as President of the Canadian Operational Research Society (CORS) Queueing and Applied Probability SIG from 2022 to 2024 and currently serves as Vice-President and President-Elect of the CORS Health Care Operational Research SIG.