主讲人：Maged Dessouky 教授 University of Southern California
报告时间：6月16日15:00-16:30
报告地点：A928
主讲人简介：
Dr. Dessouky received his B.S. and M.S. degrees in Industrial Engineering from Purdue University in 1984 and 1987, respectively. He obtained his Ph.D. degree in Industrial Engineering and Operations Research from the University of California at Berkeley in 1992. His research has been funded by the National Science Foundation, Society of Manufacturing Engineers, PATH, Caltrans, FTA, and Department of Defense. He was recipient of the 2007 Transportation Science & Logistics Best Paper Prize ("Optimal Slack Time for Schedule-Based Transit Operations"). He is a Fellow of the Institute of Industrial Engineers. Dr. Dessouky was a recipient of IIE Operations Research Division Excellence in Teaching Award, the USC Associates Award in Teaching (Top University Award for Teaching), Alpha Pi Mu/Omega Rho Outstanding Teacher of the Year in Industrial Systems Engineering, the USC Award for Excellence in Teaching, and the TRW School of Engineering Teacher Award. He is area/associate editor of Computers & Industrial Engineering, IEEE Transactions on Intelligent Transportation Systems, and IIE Transactions, on the Editorial Board of Transportation Research Part B: Methodological and Transportation Research Part E: Logistics and Transportation Review, previously served as Area Editor of ACM Transactions of Modelling and Computer Simulation, and is listed in Who’s Who in Science and Engineering.
报告摘要：
Research on facility location is abundant. However, this research does not typically address the particular conditions that arise when locating facilities to service large-scale emergencies, such as earthquakes, terrorist attacks, etc. In this work we first survey general facility location problems and identify models used to address common emergency situations, such as house fires and regular health care needs. We then analyze the characteristics of large-scale emergencies and propose a general facility location model that is suited for large-scale emergencies. This general facility location model can be cast as a covering model, a P-median model or a P-center model, each suited for different needs in a large-scale emergency. Illustrative Examples are given to show how the proposed model can be used to optimize the locations of facilities for medical supplies to address large-scale emergencies in the Los Angeles area. Furthermore, comparison of the solutions obtained by respectively using the proposed model and the traditional model is given to show the benefits of the proposed model in reducing life-loss and economic loss.
