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Airline Scheduling for the Temporary Closure of Airports

Author

Listed:
  • Shangyao Yan

    (National Central University, Chungli 320, Taiwan)

  • Chung-Gee Lin

    (National Central University, Chungli 320, Taiwan)

Abstract

The poor scheduling of flights or a fleet resulting from temporary closure of airports may cause a substantial loss of profit and decreased levels of service for airline carriers. This research develops a framework in order to help carriers handle schedule perturbations resulting from the temporary closure of airports. The framework is based on a basic model constructed as a time-space network from which several strategic network models are developed for scheduling. These network models are formulated as pure network flow problems or network flow problems with side constraints. The former are solved using the network simplex method whereas the latter are solved using a Lagrangian relaxation-based algorithm. To test how well the model may be applied in the real world, a case study regarding the international operations of a major Taiwan airline was performed. The results show that the framework could be useful in actual operations.

Suggested Citation

  • Shangyao Yan & Chung-Gee Lin, 1997. "Airline Scheduling for the Temporary Closure of Airports," Transportation Science, INFORMS, vol. 31(1), pages 72-82, February.
    • Handle: RePEc:inm:ortrsc:v:31:y:1997:i:1:p:72-82
    DOI: 10.1287/trsc.31.1.72
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    Citations

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    Cited by:

    1. Yan, Shangyao & Chi, Chin-Jen & Tang, Ching-Hui, 2006. "Inter-city bus routing and timetable setting under stochastic demands," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 572-586, August.
    2. Obrad Babić & Milica Kalić & Goran Pavković & Slavica Dožić & Mirjana Čangalović, 2010. "Heuristic approach to the airline schedule disturbances problem," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(3), pages 257-280, February.
    3. Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere, 2017. "Vulnerability of the European air transport network to major airport closures from the perspective of passenger delays: Ranking the most critical airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 119-145.
    4. Joyce W. Yen & John R. Birge, 2006. "A Stochastic Programming Approach to the Airline Crew Scheduling Problem," Transportation Science, INFORMS, vol. 40(1), pages 3-14, February.
    5. Yan, Shangyao & Tang, Ching-Hui, 2009. "Inter-city bus scheduling under variable market share and uncertain market demands," Omega, Elsevier, vol. 37(1), pages 178-192, February.
    6. Thengvall, Benjamin G. & Yu, Gang & Bard, Jonathan F., 2001. "Multiple fleet aircraft schedule recovery following hub closures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 289-308, May.
    7. Wenkai Li & Mark Wallace, 2012. "Disruption Management for Commercial Aviation," Working Papers EMS_2012_18, Research Institute, International University of Japan.
    8. Bard, Jonathan F. & Mohan, Dinesh Natarajan, 2008. "Reallocating arrival slots during a ground delay program," Transportation Research Part B: Methodological, Elsevier, vol. 42(2), pages 113-134, February.
    9. Shangyao Yan & Chun-Ying Chen & Chuan-Che Wu, 2012. "Solution methods for the taxi pooling problem," Transportation, Springer, vol. 39(3), pages 723-748, May.
    10. Nissen, Rüdiger & Haase, Knut, 2004. "Duty-period-based network model for airline crew rescheduling," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 581, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    11. Janić, Milan, 2015. "Reprint of “Modelling the resilience, friability and costs of an air transport network affected by a large-scale disruptive event”," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 77-92.
    12. Voltes-Dorta, Augusto & Rodríguez-Déniz, Héctor & Suau-Sanchez, Pere, 2017. "Passenger recovery after an airport closure at tourist destinations: A case study of Palma de Mallorca airport," Tourism Management, Elsevier, vol. 59(C), pages 449-466.
    13. Yan, Shangyao & Chen, Hao-Lei, 2002. "A scheduling model and a solution algorithm for inter-city bus carriers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(9), pages 805-825, November.
    14. 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.
    15. Philippe Wendt & Augusto Voltes-Dorta & Pere Suau-Sanchez, 2020. "Estimating the costs for the airport operator and airlines of a drone-related shutdown: an application to Frankfurt international airport," Journal of Transportation Security, Springer, vol. 13(1), pages 93-116, June.
    16. Stojkovic, Goran & Soumis, François & Desrosiers, Jacques & Solomon, Marius M., 2002. "An optimization model for a real-time flight scheduling problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(9), pages 779-788, November.
    17. Janić, Milan, 2015. "Modelling the resilience, friability and costs of an air transport network affected by a large-scale disruptive event," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 1-16.
    18. Jay M. Rosenberger & Ellis L. Johnson & George L. Nemhauser, 2003. "Rerouting Aircraft for Airline Recovery," Transportation Science, INFORMS, vol. 37(4), pages 408-421, November.
    19. Jeffery L. Kennington & Charles D. Nicholson, 2010. "The Uncapacitated Time-Space Fixed-Charge Network Flow Problem: An Empirical Investigation of Procedures for Arc Capacity Assignment," INFORMS Journal on Computing, INFORMS, vol. 22(2), pages 326-337, May.
    20. Shangyao Yan & Chin-Hui Tang & Chong-Lan Shieh, 2005. "A Simulation Framework for Evaluating Airline Temporary Schedule Adjustments Following Incidents," Transportation Planning and Technology, Taylor & Francis Journals, vol. 28(3), pages 189-211, March.
    21. Yan, Shangyao & Tang, Ching-Hui & Fu, Tseng-Chih, 2008. "An airline scheduling model and solution algorithms under stochastic demands," European Journal of Operational Research, Elsevier, vol. 190(1), pages 22-39, October.
    22. 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.
    23. T. Andersson * & P. Värbrand, 2004. "The flight perturbation problem," Transportation Planning and Technology, Taylor & Francis Journals, vol. 27(2), pages 91-117, March.
    24. Zhao, Ai & Bard, Jonathan F. & Bickel, J. Eric, 2023. "A two-stage approach to aircraft recovery under uncertainty," Journal of Air Transport Management, Elsevier, vol. 111(C).

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