@article{907cc97750f4438ca0d20119f716a210,
title = "Integer programming models and analysis for a multilevel passenger screening problem",
abstract = "Designing effective aviation security systems has become a problem of national interest and concern. Passenger prescreening is an important component of aviation security. Effectively using passenger prescreening information to develop screening strategies can be quite challenging. Moreover, it can be difficult to measure the effectiveness of such systems after they are in place. To address these issues, this paper introduces the Multilevel Passenger Screening Problem (MPSP). In MPSP, a set of classes are available for screening passengers, each of which corresponds to several device types for passenger screening, where each device type has an associated capacity and passengers are differentiated by their perceived risk levels. The objective of MPSP is to use prescreening information to determine the passenger assignments that maximize the total security subject to capacity and assignment constraints. MPSP is illustrated with examples that incorporate flight schedule and passenger volume data extracted from the Official Airline Guide.",
keywords = "Aviation security, Discrete optimization, Homelands, Integer programming",
author = "McLay, \{Laura A.\} and Jacobson, \{Sheldon H.\} and Kobza, \{John E.\}",
note = "Sheldon H. Jacobson is a Professor, Willett Faculty Scholar, and Director of the Simulation and Optimization Laboratory in the Department of Computer Science at the University of Illinois. He has a B.Sc. and M.Sc. (both in Mathematics) from McGill University, and a M.S. and Ph.D. (both in Operations Research and Industrial Engineering) from Cornell University. In 2002, he was awarded the Aviation Security Research Award by Aviation Security International, the International Air Transport Association, and the Airports Council International. In 2003, he received the Best Paper Award in IIE Transactions Focused Issue on Operations Engineering and was named a Guggenheim Fellow by the John Simon Guggenheim Memorial Foundation. His research has been published in a wide spectrum of journals, including Operations Research, Mathematical Programming, INFORMS Journal on Computing, and IIE Transactions. He has received research funding from several government agencies and industrial partners, including the National Science Foundation, the Air Force Office of Scientific Research, and the Federal Aviation Administration. This research was supported in part by the National Science Foundation (DMI-0114046, DMI-0114499) and the Air Force Office of Scientific Research (FA9550-04-1-0110). The authors would like to thank Dr. Lyle Malotky and Dr. John J. Nestor of the Transportation Security Adminstration, Department of Homeland Security, for their guidance and feedback on the research results reported in this paper. The author would also like to thank Dr. Candace Yano and an anonymous referee for their comments and feedback on this work. The computational work was done in the Simulation and Optimization Laboratory at the University of Illinois.",
year = "2007",
month = jan,
doi = "10.1080/07408170600729200",
language = "English (US)",
volume = "39",
pages = "73--81",
journal = "IIE Transactions (Institute of Industrial Engineers)",
issn = "0740-817X",
publisher = "Taylor and Francis Ltd.",
number = "1",
}