“管理科學(xué)前沿論壇”2019年第2期：Hospital inpatient operations: modeling, analysis, and optimization 2019-05-21

講座題目：Hospital inpatient operations: modeling, analysis, and optimization

報告人：Jim Dai，Institute for Data and Decision Analytics (iDDA) The Chinese University of Hong Kong, Shenzhen & School of Operations Research and Information Engineering, Cornell University

時間：2019年5月24日（周五）上午8:30開始

地點：313會議室

摘要： Prolonged waiting time for admission from emergency department (ED) to inpatient beds is a leading cause of ED overcrowding and can negatively impact patient safety. In this talk, (a) I will review and compare two service time models that attempt to capture time-of-day effect of the waiting time; they are the two-time-scale service time model of Shi et al (2016) and the inspection-delay service time model of Chan, Dong and Green (2016). (b) I will demonstrate the role of Stein method to generate approximations for waiting time performance that is accurate in a variety of parameter regimes. (c) I will discuss the recent effort in developing approximate dynamic programming algorithms to optimize the trade-off between waiting time and the fraction of patients who are assigned to non-primary beds. This is a joint work with Pengyi Shi at Purdue University.

報告人簡介：

Jim Dai holds a Presidential Chair at The Chinese University of Hong Kong, Shenzhen,  co-directing the Institute for Data and Decision Analytics (iDDA). He is currently on leave from Cornell University, where he is the Leon C. Welch Professor of Engineering in the School of Operations Research and Information Engineering (ORIE).  Prior joining Cornell in 2012, he held the Chandler Family Chair of Industrial and Systems Engineering at Georgia Institute of Technology, where he was a faculty member from 1990 to 2012.

Dai studies applied probability models for efficient resource allocations in processing networks that model service systems such as customer contact centers, data centers, hospital patient flow management, airline yield management, and ridesharing networks.

Dai received his BA and MA in mathematics from Nanjing University and his PhD in mathematics from Stanford. He is an elected fellow of Institute of Mathematical Statistics and an elected fellow of Institute for Operations Research and the Management Sciences (INFORMS). He received the Erlang Prize in 1998 from the Applied Probability Society (APS) of INFORMS. He also received two Best Publication Awards from APS, one in 1997 and one in 2017. In 2018, he received The Achievement Award from ACM SIGMETRICS. Dai has served as the Editor-In-Chief of Mathematics of Operations Research from 2012 to 2018.