| 报告题目 | Balancing Congestion and Security in the Presence of Strategic Applicants with Private Information | ||
| 报告人（单位） | Zhuang Jun (University at Buffalo, The State University of New York) | ||
| 点评人（单位） | 舒嘉 | 点评人（单位） | 刘新旺 |
| 时间地点 | 时间： 2013年6月17日（周一）上午10点 地点：九龙湖经管楼B-201 | ||
| 报告内容摘要 | | ||
| 报告内容： Abstract: Concerns on security and congestion appear in security screening which is used to identify and deter potential threats (e.g., attackers, terrorists, smugglers, spies) among normal applicants wishing to enter an organization, location, or facility. Generally, in-depth screening reduces the risk of being attacked, but creates delays that may deter normal applicants and thus, decrease the welfare of the approver (authority, manager, screener). In this research, we develop a model to determine the optimal screening policy to maximize the reward from admitting normal applicants net of the penalty from admitting bad applicants. We use an M/M/n queueing system to capture the impact of security screening policies on system congestion and use game theory to model strategic behavior, in which potential applicants with private information can decide whether to apply based on the observed approver's screening policy and the submission behavior of other potential applicants. We provide analytical solutions for the optimal non-discriminatory screening policy and numerical illustrations for both the discriminatory and non-discriminatory policies. In addition, we discuss more complex scenarios including robust screening, imperfect screening, abandonment behavior, and complex server networks. 报告人简介： Dr. Jun Zhuang has been an Assistant Professor of Industrial and Systems Engineering at the University at Buffalo, the State University of New York (UB, or SUNY-Buffalo), since he obtained his Ph.D. in Industrial Engineering in 2008 from the University of Wisconsin-Madison. Dr. Zhuang has a M.S. in Agricultural Economics in 2004 from the University of Kentucky, and a bachelor's degree in Industrial Engineering in 2002 from Southeast University, China. Dr. Zhuang's long-term research goal is to integrate operations research, game theory, and decision analysis to improve mitigation, preparedness, response, and recovery for natural and man-made disasters. Dr. Zhuang has published 30+ peer-reviewed journal articles in Operations Research, among others. | |||
