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Aircraft routing under different business processes

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  • Lacasse-Guay, Eve
  • Desaulniers, Guy
  • Soumis, François

Abstract

Given a set of scheduled flights that must be operated by the same aircraft type, the aircraft routing problem consists of building anonymous aircraft routes that respect maintenance requirements and cover each flight exactly once. This paper looks at the nature of the problem and introduces a classification according to three business processes that are used to assign the anonymous routes to the specific aircraft tail numbers. Furthermore, we compare the aircraft routing problem variants resulting from these three processes with regard to their adaptability to different contexts, the difficulty of solving them, the cost of the computed solutions, and the robustness of these solutions.

Suggested Citation

  • Lacasse-Guay, Eve & Desaulniers, Guy & Soumis, François, 2010. "Aircraft routing under different business processes," Journal of Air Transport Management, Elsevier, vol. 16(5), pages 258-263.
  • Handle: RePEc:eee:jaitra:v:16:y:2010:i:5:p:258-263
    DOI: 10.1016/j.jairtraman.2010.02.001
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    References listed on IDEAS

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    1. Ram Gopalan & Kalyan T. Talluri, 1998. "The Aircraft Maintenance Routing Problem," Operations Research, INFORMS, vol. 46(2), pages 260-271, April.
    2. Kalyan T. Talluri, 1998. "The Four-Day Aircraft Maintenance Routing Problem," Transportation Science, INFORMS, vol. 32(1), pages 43-53, February.
    3. Haouari, Mohamed & Aissaoui, Najla & Mansour, Farah Zeghal, 2009. "Network flow-based approaches for integrated aircraft fleeting and routing," European Journal of Operational Research, Elsevier, vol. 193(2), pages 591-599, March.
    4. Cynthia Barnhart & Ellis L. Johnson & George L. Nemhauser & Martin W. P. Savelsbergh & Pamela H. Vance, 1998. "Branch-and-Price: Column Generation for Solving Huge Integer Programs," Operations Research, INFORMS, vol. 46(3), pages 316-329, June.
    5. Thomas A. Feo & Jonathan F. Bard, 1989. "Flight Scheduling and Maintenance Base Planning," Management Science, INFORMS, vol. 35(12), pages 1415-1432, December.
    6. Marco E. Lübbecke & Jacques Desrosiers, 2005. "Selected Topics in Column Generation," Operations Research, INFORMS, vol. 53(6), pages 1007-1023, December.
    7. Lloyd Clarke & Ellis Johnson & George Nemhauser & Zhongxi Zhu, 1997. "The aircraft rotation problem," Annals of Operations Research, Springer, vol. 69(0), pages 33-46, January.
    8. Shan Lan & John-Paul Clarke & Cynthia Barnhart, 2006. "Planning for Robust Airline Operations: Optimizing Aircraft Routings and Flight Departure Times to Minimize Passenger Disruptions," Transportation Science, INFORMS, vol. 40(1), pages 15-28, February.
    9. Stefan Irnich & Guy Desaulniers, 2005. "Shortest Path Problems with Resource Constraints," Springer Books, in: Guy Desaulniers & Jacques Desrosiers & Marius M. Solomon (ed.), Column Generation, chapter 0, pages 33-65, Springer.
    10. Cynthia Barnhart & Natashia L. Boland & Lloyd W. Clarke & Ellis L. Johnson & George L. Nemhauser & Rajesh G. Shenoi, 1998. "Flight String Models for Aircraft Fleeting and Routing," Transportation Science, INFORMS, vol. 32(3), pages 208-220, August.
    11. Sriram, Chellappan & Haghani, Ali, 2003. "An optimization model for aircraft maintenance scheduling and re-assignment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 29-48, January.
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    Cited by:

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    2. 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.
    3. Ben Ahmed, Mohamed & Zeghal Mansour, Farah & Haouari, Mohamed, 2018. "Robust integrated maintenance aircraft routing and crew pairing," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 15-31.
    4. Munari, Pedro & Alvarez, Aldair, 2019. "Aircraft routing for on-demand air transportation with service upgrade and maintenance events: Compact model and case study," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 75-84.
    5. Khaled, Oumaima & Minoux, Michel & Mousseau, Vincent & Michel, Stéphane & Ceugniet, Xavier, 2018. "A compact optimization model for the tail assignment problem," European Journal of Operational Research, Elsevier, vol. 264(2), pages 548-557.
    6. Saltzman, Robert M. & Stern, Helman I., 2022. "The multi-day aircraft maintenance routing problem," Journal of Air Transport Management, Elsevier, vol. 102(C).
    7. Maher, Stephen J. & Desaulniers, Guy & Soumis, François, 2018. "The daily tail assignment problem under operational uncertainty using look-ahead maintenance constraints," European Journal of Operational Research, Elsevier, vol. 264(2), pages 534-547.
    8. Stern, Helman I. & Gertsbakh, Ilya B., 2019. "Using deficit functions for aircraft fleet routing," Operations Research Perspectives, Elsevier, vol. 6(C).

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