报告人：Professor Mabel Chou (National University of Singapore, School of Business)； 郑欢教授(上海交通大学，安泰经济管理学院)
时 间：2012-5-25周五下午2:00
地 点：九龙湖经管楼B-201会议室
主持人：舒嘉 (管理科学与工程系) ， 张玉林(管理科学与工程系)，
Title: Hospital Inpatient Operations: Analysis and Insights
Abstract: We study the patient flow management in an inpatient department of a Singaporean hospital and report an empirical study on the patient flow management in this hospital. We report the statistics of bed-request waiting times from emergency department patients who need to be admitted into a ward, bed-occupancy-rate of each ward, and overflow rate from each ward. We also report probability distributions and parameters that are related to arrival, discharge, length-of-stay (LOS), and pre- and post-allocation delays. Our analysis generates a number of operational insights for managing an inpatient department.
Short Bio: Mabel Chou is an Associate Professor in Department of Decision Sciences, National University of Singapore. She obtained Ph. D. from Northwestern University in 2001. Her research interests include Scheduling, Logistics and Supply Chain, and Operations/Manufacturing Flexibility Design and Analysis.
Title: Multi-Sourcing Location-Inventory Network Design using Chance Constraint Approximations
Abstract: We study a multi-sourcing distribution network design problem with uncertain demand in which each retailer can source a single item from more than one DC. The problem takes into account the complex trade-off among location cost, inventory holding cost, and transportation cost. We propose a nonlinear mixed integer programming model with a chance constraint (which imposes a certain service level on the network) to determine the locations and the inventory levels of DCs, and each retailer should be served by which set of DCs. Several approximations to the service level chance constraint are analyzed. We show that, under a mild assumption, the set-wise approximation could get a 1-expander structure which means the performance of a sparse distribution network can be as good as its fully connected counter-part in terms of matching uncertain demand using the on-hand inventory. We also conduct a set of numerical experiments to discuss the additional findings and insights from the computational results.
Short Bio: Zheng Huan is an Associate Professor in Management Science Department at Antai College of Economics and Management, Shanghai Jiao Tong University. She obtained Ph. D. from National University of Singapore in 2007, and Bachelor in Economics from Shanghai Jiao Tong University in 2001. Her research interests include Process Flexibility, Two-sided Market and Supply Chain Management.