IDEAS home Printed from https://ideas.repec.org/a/wsi/apjorx/v36y2019i06ns0217595919400104.html
   My bibliography  Save this article

Flight Schedule Recovery: A Simulation-Based Approach

Author

Listed:
  • Derui Wang

    (School of Management, Fudan University, Shanghai, 200433, P. R. China)

  • Yanfeng Wu

    (Institute of Finance, Jiangxi University of Finance and Economics, Jiangxi 330013, P. R. China)

  • Jian-Qiang Hu

    (School of Management, Fudan University, Shanghai, 200433, P. R. China)

  • Miaomiao Liu

    (School of Management, Fudan University, Shanghai, 200433, P. R. China)

  • Peiwen Yu

    (School of Management, Fudan University, Shanghai, 200433, P. R. China)

  • Cheng Zhang

    (School of Management, Fudan University, Shanghai, 200433, P. R. China)

  • Yan Wu

    (China Eastern Technology Application Research and Development Center Co., Ltd., Shanghai, 201700, P. R. China)

Abstract

In this paper, we report our work on the flight recovery problem for China Eastern Airlines. Traditionally, the flight recovery problem is often modeled as an integer or mixed integer linear programming problem. However, such a model cannot take many complex constraints and uncertainties in real applications. Furthermore, we have found solutions obtained based on such a model difficult to implement in their existing operations, as in the case of CEA. Therefore, we propose a simulation-based approach, which works well with their existing operations. Our work demonstrates the potentials of simulation based methods in the study of the flight recovery problem, and possibly other similar problems.

Suggested Citation

  • 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.
  • Handle: RePEc:wsi:apjorx:v:36:y:2019:i:06:n:s0217595919400104
    DOI: 10.1142/S0217595919400104
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0217595919400104
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0217595919400104?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Brunner, Jens O., 2014. "Rescheduling of flights during ground delay programs with consideration of passenger and crew connections," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 236-252.
    2. 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.
    3. Deyi Mou & Wanlin Zhao, 2013. "An Irregular Flight Scheduling Model and Algorithm under the Uncertainty Theory," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-8, September.
    4. 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.
    5. 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.
    6. Yan, Shangyao & Tu, Yu-ping, 1997. "Multifleet routing and multistop flight scheduling for schedule perturbation," European Journal of Operational Research, Elsevier, vol. 103(1), pages 155-169, November.
    7. Jerzy Filar & Prabhu Manyem & Kevin White, 2001. "How Airlines and Airports Recover from Schedule Perturbations: A Survey," Annals of Operations Research, Springer, vol. 108(1), pages 315-333, November.
    8. Liang, Zhe & Xiao, Fan & Qian, Xiongwen & Zhou, Lei & Jin, Xianfei & Lu, Xuehua & Karichery, Sureshan, 2018. "A column generation-based heuristic for aircraft recovery problem with airport capacity constraints and maintenance flexibility," Transportation Research Part B: Methodological, Elsevier, vol. 113(C), pages 70-90.
    9. 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.
    10. Shangyao Yan & Chung-Gee Lin, 1997. "Airline Scheduling for the Temporary Closure of Airports," Transportation Science, INFORMS, vol. 31(1), pages 72-82, February.
    11. 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.
    12. Ahmad I. Z. Jarrah & Gang Yu & Nirup Krishnamurthy & Ananda Rakshit, 1993. "A Decision Support Framework for Airline Flight Cancellations and Delays," Transportation Science, INFORMS, vol. 27(3), pages 266-280, August.
    13. Khaled, Oumaima & Minoux, Michel & Mousseau, Vincent & Michel, Stéphane & Ceugniet, Xavier, 2018. "A multi-criteria repair/recovery framework for the tail assignment problem in airlines," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 137-151.
    14. 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.
    15. 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.
    16. Jon D. Petersen & Gustaf Sölveling & John-Paul Clarke & Ellis L. Johnson & Sergey Shebalov, 2012. "An Optimization Approach to Airline Integrated Recovery," Transportation Science, INFORMS, vol. 46(4), pages 482-500, November.
    17. Jay M. Rosenberger & Andrew J. Schaefer & David Goldsman & Ellis L. Johnson & Anton J. Kleywegt & George L. Nemhauser, 2002. "A Stochastic Model of Airline Operations," Transportation Science, INFORMS, vol. 36(4), pages 357-377, November.
    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. Lee, Loo Hay & Lee, Chul Ung & Tan, Yen Ping, 2007. "A multi-objective genetic algorithm for robust flight scheduling using simulation," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1948-1968, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huang, Zhouchun & Luo, Xiaodong & Jin, Xianfei & Karichery, Sureshan, 2022. "An iterative cost-driven copy generation approach for aircraft recovery problem," European Journal of Operational Research, Elsevier, vol. 301(1), pages 334-348.
    2. Jane Lee & Lavanya Marla & Alexandre Jacquillat, 2020. "Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty," Transportation Science, INFORMS, vol. 54(4), pages 973-997, July.
    3. Vieira, Thiago & De La Vega, Jonathan & Tavares, Roberto & Munari, Pedro & Morabito, Reinaldo & Bastos, Yan & Ribas, Paulo César, 2021. "Exact and heuristic approaches to reschedule helicopter flights for personnel transportation in the oil industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    4. 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).
    5. 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).
    6. Jon D. Petersen & Gustaf Sölveling & John-Paul Clarke & Ellis L. Johnson & Sergey Shebalov, 2012. "An Optimization Approach to Airline Integrated Recovery," Transportation Science, INFORMS, vol. 46(4), pages 482-500, November.
    7. Delgado, Felipe & Sirhan, Cristóbal & Katscher, Mathias & Larrain, Homero, 2020. "Recovering from demand disruptions on an air cargo network," Journal of Air Transport Management, Elsevier, vol. 85(C).
    8. Schrotenboer, Albert H. & Wenneker, Rob & Ursavas, Evrim & Zhu, Stuart X., 2023. "Reliable reserve-crew scheduling for airlines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    9. Huang, Lei & Xiao, Fan & Zhou, Jing & Duan, Zhenya & Zhang, Hua & Liang, Zhe, 2023. "A machine learning based column-and-row generation approach for integrated air cargo recovery problem," Transportation Research Part B: Methodological, Elsevier, vol. 178(C).
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Sato, Keisuke & Fukumura, Naoto, 2012. "Real-time freight locomotive rescheduling and uncovered train detection during disruption," European Journal of Operational Research, Elsevier, vol. 221(3), pages 636-648.
    18. Ding, Yida & Wandelt, Sebastian & Wu, Guohua & Xu, Yifan & Sun, Xiaoqian, 2023. "Towards efficient airline disruption recovery with reinforcement learning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    19. 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.
    20. Uğur Arıkan & Sinan Gürel & M. Aktürk, 2016. "Integrated aircraft and passenger recovery with cruise time controllability," Annals of Operations Research, Springer, vol. 236(2), pages 295-317, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:apjorx:v:36:y:2019:i:06:n:s0217595919400104. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/apjor/apjor.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.