Simulation optimization in security screening systems subject to budget and waiting time constraints
Motivated by the NEXUS program between the US‐Canada border, we consider a security screening process where travelers such as cars and trucks are assigned to a selectee or nonselectee lane depending on whether their threat values exceed a threshold level. The goal is to design a two‐tier system to m...
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| Published in | Naval research logistics Vol. 68; no. 7; pp. 920 - 936 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Hoboken, USA
John Wiley & Sons, Inc
01.10.2021
Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0894-069X 1520-6750 |
| DOI | 10.1002/nav.21976 |
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| Abstract | Motivated by the NEXUS program between the US‐Canada border, we consider a security screening process where travelers such as cars and trucks are assigned to a selectee or nonselectee lane depending on whether their threat values exceed a threshold level. The goal is to design a two‐tier system to maximize the probability of detecting a threat subject to the waiting time and operating cost constraints. We formulate the problem as an optimization program, in which the objective function and some variables can be estimated only by simulation. We then develop algorithms to compute the global optimum, within a proposed bounding region, for the Markovian and non‐Markovian systems, respectively. The convergence analysis and extensive numerical results are provided to demonstrate the algorithms' promising performance. |
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| AbstractList | Motivated by the NEXUS program between the US‐Canada border, we consider a security screening process where travelers such as cars and trucks are assigned to a selectee or nonselectee lane depending on whether their threat values exceed a threshold level. The goal is to design a two‐tier system to maximize the probability of detecting a threat subject to the waiting time and operating cost constraints. We formulate the problem as an optimization program, in which the objective function and some variables can be estimated only by simulation. We then develop algorithms to compute the global optimum, within a proposed bounding region, for the Markovian and non‐Markovian systems, respectively. The convergence analysis and extensive numerical results are provided to demonstrate the algorithms' promising performance. |
| Author | Zhang, Zhe George Tsai, Shing Chih Wang, Honggang Chen, Huifen |
| Author_xml | – sequence: 1 givenname: Shing Chih orcidid: 0000-0003-0802-8764 surname: Tsai fullname: Tsai, Shing Chih organization: National Cheng Kung University – sequence: 2 givenname: Huifen orcidid: 0000-0001-5778-2603 surname: Chen fullname: Chen, Huifen email: huifen@cycu.edu.tw organization: Chung‐Yuan University – sequence: 3 givenname: Honggang surname: Wang fullname: Wang, Honggang organization: College of Business Administration, California State Polytechnic University – sequence: 4 givenname: Zhe George orcidid: 0000-0001-8058-3522 surname: Zhang fullname: Zhang, Zhe George organization: Beedie School of Business, Simon Fraser University |
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| Cites_doi | 10.1007/s11721-016-0125-2 10.1016/j.ejor.2017.06.039 10.1002/nav.20131 10.1145/1502787.1502788 10.1145/1667072.1667075 10.1109/WSC.1991.185703 10.1007/978-3-642-20859-1_4 10.1016/j.tra.2016.06.006 10.1007/s12198-013-0106-2 10.1287/opre.1050.0237 10.1016/j.tra.2014.03.013 10.1080/07408170108936827 10.1109/WSC.2006.323048 10.1287/mnsc.1090.1105 10.1287/mnsc.1110.1399 10.1002/nav.20408 10.1145/2499913.2499916 10.1002/nav.21491 10.1007/s10479-015-2043-x 10.1016/j.tre.2011.07.008 10.1287/mnsc.1080.0914 10.1287/ijoc.2014.0628 10.1287/trsc.1090.0308 10.1007/978-1-4419-6132-7_16 10.1109/TAC.2012.2195931 10.1137/1.9781611970241 10.1002/nav.21747 10.1002/nav.21770 10.1145/1842713.1842716 10.1080/07408170903116360 10.1016/j.ejor.2017.08.038 |
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| Notes | Funding information Ministry of Science and Technology, Taiwan, MOST 104‐2410‐H‐006‐056; MOST 105‐2221‐E‐033‐050‐MY3; Natural Sciences and Engineering Research Council of Canada, RGPIN197319 History Accepted by Michael Atkinson, military and security applications ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| SubjectTerms | Algorithms border crossings Objective function Operating costs Optimization Probability theory retrospective optimization R‐SPLINE Screening Security security screening Simulation simulation optimization Trucks waiting‐time constraint |
| Title | Simulation optimization in security screening systems subject to budget and waiting time constraints |
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