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Assigning arriving flights at an airport to the available gates

Author

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  • A Bolat

    (King Saud University)

Abstract

Unexpected changes in the flight schedules may disrupt the initial aircraft-gate assignments, and result in congestions and delays in getting aircraft onto gates. A mathematical model is developed to assign the flights with the minimum range of unutilised time periods of gates, subject to the level of service offered to passengers and other physical and managerial considerations. (The assignments are expected to be flexible enough to absorb the minor modifications in the flight schedules.) Interactive optimum and heuristic procedures, both utilising lower bounds on the ranges of future solutions, are proposed to cope with the major changes in disrupting the initial gate-assignments. Over randomly generated schedules, 74 flights can be optimally assigned to seven gates within 17 seconds when the gates are re-utilised within 30 minutes after each departure. The heuristic reaches the optimal solution after evaluating at most 20 partial solutions at one level. Over data obtained from Riyadh’s International Airport, the heuristic outperforms the existing practice: On average, 72.03% and 54.28% improvements are obtained on the number of remote served aircraft and towed aircraft, respectively.

Suggested Citation

  • A Bolat, 1999. "Assigning arriving flights at an airport to the available gates," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(1), pages 23-34, January.
    • Handle: RePEc:pal:jorsoc:v:50:y:1999:i:1:d:10.1057_palgrave.jors.2600655
    DOI: 10.1057/palgrave.jors.2600655
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    Citations

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    Cited by:

    1. Daş, Gülesin Sena & Gzara, Fatma & Stützle, Thomas, 2020. "A review on airport gate assignment problems: Single versus multi objective approaches," Omega, Elsevier, vol. 92(C).
    2. Tang, Ching-Hui & Wang, Wei-Chung, 2013. "Airport gate assignments for airline-specific gates," Journal of Air Transport Management, Elsevier, vol. 30(C), pages 10-16.
    3. Li, Mingjie & Hao, Jin-Kao & Wu, Qinghua, 2022. "Learning-driven feasible and infeasible tabu search for airport gate assignment," European Journal of Operational Research, Elsevier, vol. 302(1), pages 172-186.
    4. M. Arslan Ornek & Cemalettin Ozturk & Ipek Sugut, 2022. "Integer and constraint programming model formulations for flight-gate assignment problem," Operational Research, Springer, vol. 22(1), pages 135-163, March.
    5. Amadeo Ascó, 2016. "An Analysis of Robustness Approaches for the Airport Baggage Sorting Station Assignment Problem," Journal of Optimization, Hindawi, vol. 2016, pages 1-19, September.
    6. Yan, Shangyao & Shieh, Chi-Yuan & Chen, Miawjane, 2002. "A simulation framework for evaluating airport gate assignments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(10), pages 885-898, December.
    7. Dorndorf, Ulrich & Drexl, Andreas & Nikulin, Yury & Pesch, Erwin, 2007. "Flight gate scheduling: State-of-the-art and recent developments," Omega, Elsevier, vol. 35(3), pages 326-334, June.
    8. S Yan & C-H Tang & C-H Chen, 2008. "Reassignments of common-use check-in counters following airport incidents," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(8), pages 1100-1108, August.
    9. Dorndorf, Ulrich & Drexl, Andreas & Nikulin, Yury & Pesch, Erwin, 2005. "Flight gate scheduling: State-of-the-art and recent developments," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 584, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    10. Abdelghany, Ahmed & Abdelghany, Khaled & Narasimhan, Ram, 2006. "Scheduling baggage-handling facilities in congested airports," Journal of Air Transport Management, Elsevier, vol. 12(2), pages 76-81.
    11. Zhang, Dong & Klabjan, Diego, 2017. "Optimization for gate re-assignment," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 260-284.
    12. Karsu, Özlem & Azizoğlu, Meral & Alanlı, Kerem, 2021. "Exact and heuristic solution approaches for the airport gate assignment problem," Omega, Elsevier, vol. 103(C).
    13. Hu, Rong & Wang, Deyun & Feng, Huilin & Zhang, Junfeng & Pan, Xiaoran & Deng, Songwu, 2024. "Joint gate-runway scheduling considering carbon emissions, airport noise and ground-air coordination," Journal of Air Transport Management, Elsevier, vol. 116(C).
    14. Yan, Shangyao & Tang, Ching-Hui, 2007. "A heuristic approach for airport gate assignments for stochastic flight delays," European Journal of Operational Research, Elsevier, vol. 180(2), pages 547-567, July.
    15. Şeker, Merve & Noyan, Nilay, 2012. "Stochastic optimization models for the airport gate assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 438-459.

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