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Airline delay management problem with airport capacity constraints and priority decisions

Author

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  • Santos, Bruno F.
  • Wormer, Maarten M.E.C.
  • Achola, Thomas A.O.
  • Curran, Richard

Abstract

This paper deals with the Airline Delay Management Problem (ADMP), which can be described as the task of dealing with daily airline operational delays and deciding whether to delay subsequent flights at a hub airport or to have them departing on time. An innovative integer linear programming approach is presented to the capacitated case of the ADMP and airport limitations in terms of bay availability, taxiway capacity and runway separation are incorporated to represent capacity constraints. Fuel cost, passenger compensation, and passenger inconvenience costs are included in the objective function. The decision variables include the re-timing of flight departures and arrivals, the use of the airport capacity over time and the rebooking of passengers in case of missed connections. To guarantee the linearity of the optimization model and fast computational times, a receding horizon modeling framework is adopted. The approach is applied to a case study using real operational and passenger data from an international hub-and-spoke carrier. The case study shows the capability of the linear model to deal with a complete day of operations within a few minutes. The results suggest that the proposed approach can lead to cost reductions of almost 30% during recovery, when compared with the solution from the airline. In addition, a sensitivity analysis is provided to investigate the impact of not including passenger inconvenience costs and of reducing runway capacity.

Suggested Citation

  • Santos, Bruno F. & Wormer, Maarten M.E.C. & Achola, Thomas A.O. & Curran, Richard, 2017. "Airline delay management problem with airport capacity constraints and priority decisions," Journal of Air Transport Management, Elsevier, vol. 63(C), pages 34-44.
  • Handle: RePEc:eee:jaitra:v:63:y:2017:i:c:p:34-44
    DOI: 10.1016/j.jairtraman.2017.05.003
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Pternea, Moschoula & Haghani, Ali, 2019. "An aircraft-to-gate reassignment framework for dealing with schedule disruptions," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 116-132.
    2. Bouarfa, Soufiane & Müller, Jasper & Blom, Henk, 2018. "Evaluation of a Multi-Agent System approach to airline disruption management," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 108-118.
    3. Kim, Myeonghyeon & Choi, Yuri & Song, Ki Han, 2019. "Identification model development for proactive response on irregular operations (IROPs)," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 1-8.
    4. Derui Wang & Yanfeng Wu & Jian-Qiang Hu & Miaomiao Liu & Peiwen Yu & Cheng Zhang & Yan Wu, 2019. "Flight Schedule Recovery: A Simulation-Based Approach," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(06), pages 1-19, December.
    5. Eva König, 2020. "A review on railway delay management," Public Transport, Springer, vol. 12(2), pages 335-361, June.
    6. Pedro Jose Gudiel Pineda & Chao-Che Hsu & James J. H. Liou & Huai-Wei Lo, 2018. "A Hybrid Model for Aircraft Type Determination Following Flight Cancellation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1147-1172, July.
    7. Dhanisetty, V.S. Viswanath & Verhagen, W.J.C. & Curran, Richard, 2018. "Multi-criteria weighted decision making for operational maintenance processes," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 152-164.

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