报告内容摘要：

We analyze a tiered airport security checkpoint at an international airport. In such a system, passengers can be classified into three categories based on the security intelligence. A two-dimensional Markov process and a Markov modulated Poisson process (MMPP) are utilized to model these type inspection systems. We first develop the formulas for the performance evaluation under a given passenger allocation policy with conditional capacity sharing in the tiered security-check system. Due to the complexity of the system and the multiple decision variables, a near-optimum inspection policy is determined by the simulated annealing method.  By comparing the proposed system with the two conventional security-check systems (non-tiered and tiered without capacity sharing), we find that the tiered system with conditional capacity sharing could improve the customer service without compromising the security quality.This is a joint on-going research project with Paul Hsing Luh and P.K. Huang of National Chengchi University.
 
报告人简介：

Zhe George Zhang is a professor of Management Science in the Department of Decision Sciences at Western Washington University and a professor of Operations Management in Beedie School of Business at Simon Fraser University. He is also visiting professor of Sauder School of Business at the University of British Columbia. Dr. Zhang received his BS in Computer Science and MA in Economics from Nankai University, China; his MBA from the Schulich School of Business at York University; and his PhD in Operations research from the University of Waterloo. Professor Zhang has published over 80 papers in prestigious journals such as Management Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, IIE Transactions, IEEE Transactions, Queueing Systems, Journal of Applied Probability.
Professor Zhang's research interests include queueing theory and applications and stochastic models for manufacturing and service systems. The main theme of his research is to bridge the gap between theory and application, obtaining unobservable and sometimes counter-intuitive but significant/practical management insights via modelling and quantitative analysis. Currently, he is particularly interested in the quantitative and economic analysis of the congestion problems in urban/mass transportation networks, health/medical care systems, and public service systems with both customer service quality and security concerns.
Co-authored with N. Tian, his research monograph entitled Vacation Queueing Models-Theory and Applications has been published in 2006 by Springer Science. This is the first book that discusses both single and multiple server queueing systems with vacations. Professor Zhang is an associate editor of INFOR and is on the editorial board of several international journals
 
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