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Improvements to a large neighborhood search heuristic for an integrated aircraft and passenger recovery problem

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  • Sinclair, Karine
  • Cordeau, Jean-François
  • Laporte, Gilbert

Abstract

Because most commercial passenger airlines operate on a hub-and-spoke network, small disturbances can cause major disruptions in their planned schedules and have a significant impact on their operational costs and performance. When a disturbance occurs, the airline often applies a recovery policy in order to quickly resume normal operations. We present in this paper a large neighborhood search heuristic to solve an integrated aircraft and passenger recovery problem. The problem consists of creating new aircraft routes and passenger itineraries to produce a feasible schedule during the recovery period. The method is based on an existing heuristic, developed in the context of the 2009 ROADEF Challenge, which alternates between three phases: construction, repair and improvement. We introduce a number of refinements in each phase so as to perform a more thorough search of the solution space. The resulting heuristic performs very well on the instances introduced for the challenge, obtaining the best known solution for 17 out of 22 instances within five minutes of computing time and 21 out of 22 instances within 10minutes of computing time.

Suggested Citation

  • Sinclair, Karine & Cordeau, Jean-François & Laporte, Gilbert, 2014. "Improvements to a large neighborhood search heuristic for an integrated aircraft and passenger recovery problem," European Journal of Operational Research, Elsevier, vol. 233(1), pages 234-245.
    • Handle: RePEc:eee:ejores:v:233:y:2014:i:1:p:234-245
    DOI: 10.1016/j.ejor.2013.08.034
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    1. Ladislav Lettovský & Ellis L. Johnson & George L. Nemhauser, 2000. "Airline Crew Recovery," Transportation Science, INFORMS, vol. 34(4), pages 337-348, November.
    2. Abdelghany, Khaled F. & Abdelghany, Ahmed F. & Ekollu, Goutham, 2008. "An integrated decision support tool for airlines schedule recovery during irregular operations," European Journal of Operational Research, Elsevier, vol. 185(2), pages 825-848, March.
    3. Songjun Luo & Gang Yu, 1997. "On the Airline Schedule Perturbation Problem Caused by the Ground Delay Program," Transportation Science, INFORMS, vol. 31(4), pages 298-311, November.
    4. Ahmed Abdelghany & Goutham Ekollu & Ram Narasimhan & Khaled Abdelghany, 2004. "A Proactive Crew Recovery Decision Support Tool for Commercial Airlines During Irregular Operations," Annals of Operations Research, Springer, vol. 127(1), pages 309-331, March.
    5. Raïd Mansi & Saïd Hanafi & Christophe Wilbaut & François Clautiaux, 2012. "Disruptions in the airline industry: math-heuristics for re-assigning aircraft and passengers simultaneously," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 6(6), pages 690-712.
    6. 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.
    7. Gang Yu & Michael Argüello & Gao Song & Sandra M. McCowan & Anna White, 2003. "A New Era for Crew Recovery at Continental Airlines," Interfaces, INFORMS, vol. 33(1), pages 5-22, February.
    8. Medard, Claude P. & Sawhney, Nidhi, 2007. "Airline crew scheduling from planning to operations," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1013-1027, December.
    9. Mirela Stojković & François Soumis & Jacques Desrosiers, 1998. "The Operational Airline Crew Scheduling Problem," Transportation Science, INFORMS, vol. 32(3), pages 232-245, August.
    10. Niloofar Jafari & Seyed Hessameddin Zegordi, 2010. "The airline perturbation problem: considering disrupted passengers," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(2), pages 203-220, January.
    11. Cynthia Barnhart & Peter Belobaba & Amedeo R. Odoni, 2003. "Applications of Operations Research in the Air Transport Industry," Transportation Science, INFORMS, vol. 37(4), pages 368-391, November.
    12. Michael F. Argüello & Jonathan F. Bard & Gang Yu, 1997. "A Grasp for Aircraft Routing in Response to Groundings and Delays," Journal of Combinatorial Optimization, Springer, vol. 1(3), pages 211-228, October.
    13. 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.
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    3. Zhang, Dong & Yu, Chuhang & Desai, Jitamitra & Lau, H.Y.K. Henry, 2016. "A math-heuristic algorithm for the integrated air service recovery," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 211-236.
    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.
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    6. Nianyi Wang & Huiling Wang & Shan Pei & Boyu Zhang, 2023. "A Data-Driven Heuristic Method for Irregular Flight Recovery," Mathematics, MDPI, vol. 11(11), pages 1-22, June.
    7. Naz Yeti̇moğlu, Yücel & Selim Aktürk, M., 2021. "Aircraft and passenger recovery during an aircraft’s unexpected unavailability," Journal of Air Transport Management, Elsevier, vol. 91(C).
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    9. Hu, Yuzhen & Song, Yan & Zhao, Kang & Xu, Baoguang, 2016. "Integrated recovery of aircraft and passengers after airline operation disruption based on a GRASP algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 97-112.
    10. Ng, K.K.H. & Lee, C.K.M. & Chan, Felix T.S. & Qin, Yichen, 2017. "Robust aircraft sequencing and scheduling problem with arrival/departure delay using the min-max regret approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 115-136.
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