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Sustainable Queuing-Network Design for Airport Security Based on the Monte Carlo Method

Author

Listed:
  • Xiangqian Xu

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, Hunan, China)

  • Zhexuan Zhou

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, Hunan, China)

  • Yajie Dou

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, Hunan, China)

  • Yuejin Tan

    (College of Systems Engineering, National University of Defense Technology, Changsha 410073, Hunan, China)

  • Tianjun Liao

    (State Key Laboratory of Complex System Simulation, Beijing Institute of System Engineering, 10 An Xiang Bei Li Road, Beijing 100101, China)

Abstract

The design of airport queuing networks is a significant research field currently for researchers. Many factors must to be considered in order to achieve the optimized strategies, including the passenger flow volume, boarding time, and boarding order of passengers. Optimizing these factors lead to the sustainable development of the queuing network, which currently faces a few difficulties. In particular, the high variance in checkpoint lines can be extremely costly to passengers as they arrive unduly early or possibly miss their scheduled flights. In this article, the Monte Carlo method is used to design the queuing network so as to achieve sustainable development. Thereafter, a network diagram is used to determine the critical working point, and design a structurally and functionally sustainable network. Finally, a case study for a sustainable queuing-network design in the airport is conducted to verify the efficiency of the proposed model. Specifically, three sustainable queuing-network design solutions are proposed, all of which not only maintain the same standards of security, but also increase checkpoint throughput and reduce passenger waiting time variance.

Suggested Citation

  • Xiangqian Xu & Zhexuan Zhou & Yajie Dou & Yuejin Tan & Tianjun Liao, 2018. "Sustainable Queuing-Network Design for Airport Security Based on the Monte Carlo Method," Sustainability, MDPI, vol. 10(2), pages 1-19, January.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:2:p:1-:d:128180
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    References listed on IDEAS

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    4. Mahmut Parlar & Moosa Sharafali, 2008. "Dynamic Allocation of Airline Check-In Counters: A Queueing Optimization Approach," Management Science, INFORMS, vol. 54(8), pages 1410-1424, August.
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    Cited by:

    1. Isaac Levi Henderson & Mark Avis & Wai Hong Kan Tsui & Thanh Ngo & Andrew Gilbey, 2023. "Compound Brands and the Multi-Creation of Brand Associations: Evidence from Airports and Shopping Malls," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    2. Cheong Kim & Francis Joseph Costello & Kun Chang Lee, 2019. "Integrating Qualitative Comparative Analysis and Support Vector Machine Methods to Reduce Passengers’ Resistance to Biometric E-Gates for Sustainable Airport Operations," Sustainability, MDPI, vol. 11(19), pages 1-22, September.

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