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Modeling and analyzing multiple station baggage screening security system performance

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  • Sheldon H. Jacobson
  • Laura A. McLay
  • John E. Kobza
  • Jon M. Bowman

Abstract

In the aftermath of the tragic events of 11 September 2001, numerous changes have been made to aviation security policy and operations throughout the nation's airports. The allocation and utilization of checked baggage screening devices is a critical component in aviation security systems. This paper formulates problems that model multiple sets of flights originating from multiple stations (e.g., airports, terminals), where the objective is to optimize a baggage screening performance measure subject to a finite amount of resources. These measures include uncovered flight segments (UFS) and uncovered passenger segments (UPS). Three types of multiple station security problems are identified and their computational complexity is established. The problems are illustrated on two examples that use data extracted from the Official Airline Guide. The examples indicate that the problems can provide widely varying solutions based on the type of performance measure used and the restrictions imposed by the security device allocations. Moreover, the examples suggest that the allocations based on the UFS measure also provide reasonable solutions with respect to the UPS measure; however, the reverse may not be the case. This suggests that the UFS measure may provide more robust screening device allocations. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2005.

Suggested Citation

  • Sheldon H. Jacobson & Laura A. McLay & John E. Kobza & Jon M. Bowman, 2005. "Modeling and analyzing multiple station baggage screening security system performance," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(1), pages 30-45, February.
  • Handle: RePEc:wly:navres:v:52:y:2005:i:1:p:30-45
    DOI: 10.1002/nav.20052
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    Citations

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    Cited by:

    1. Aniruddha Bagchi & Jomon Aliyas Paul, 2014. "Optimal Allocation of Resources in Airport Security: Profiling vs. Screening," Operations Research, INFORMS, vol. 62(2), pages 219-233, April.
    2. P. Daniel Wright & Matthew J. Liberatore & Robert L. Nydick, 2006. "A Survey of Operations Research Models and Applications in Homeland Security," Interfaces, INFORMS, vol. 36(6), pages 514-529, December.
    3. Kyle Y. Lin & Moshe Kress & Roberto Szechtman, 2009. "Scheduling policies for an antiterrorist surveillance system," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(2), pages 113-126, March.
    4. Nie, Xiaofeng, 2019. "The impact of conditional dependence on checked baggage screening," European Journal of Operational Research, Elsevier, vol. 278(3), pages 883-893.
    5. Laura A. McLay & Sheldon H. Jacobson & John E. Kobza, 2006. "A multilevel passenger screening problem for aviation security," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(3), pages 183-197, April.
    6. Laura A. McLay & Adrian J. Lee & Sheldon H. Jacobson, 2010. "Risk-Based Policies for Airport Security Checkpoint Screening," Transportation Science, INFORMS, vol. 44(3), pages 333-349, August.
    7. Alexander G. Nikolaev & Sheldon H. Jacobson & Laura A. McLay, 2007. "A Sequential Stochastic Security System Design Problem for Aviation Security," Transportation Science, INFORMS, vol. 41(2), pages 182-194, May.

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