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Scheduling airline reserve crew using a probabilistic crew absence and recovery model

Author

Listed:
  • Christopher Bayliss
  • Geert De Maere
  • Jason A. D. Atkin
  • Marc Paelinck

Abstract

Airlines require reserve crew to replace delayed or absent crew, with the aim of preventing consequent flight cancellations. A reserve crew schedule specifies the duty periods for which different reserve crew will be on standby to replace any absent crew. Due to dependencies between flights the timing of a duty period of a reserve crew member influences the probabilities of flight cancellations and also the probabilities that other reserve crew are required to replace absent. These interactions make the exercise of scheduling reserve crew duties a combinatorial optimisation problem. This work develops an enhanced mathematical model for assessing the impact of any given reserve crew schedule, in terms of expected cancellations and reserve induced delays. The proposed model produces results that match a simulation model, in a much shorter time. The model is then used as a fitness function in metaheuristic algorithms and the results are analysed in detail.

Suggested Citation

  • Christopher Bayliss & Geert De Maere & Jason A. D. Atkin & Marc Paelinck, 2020. "Scheduling airline reserve crew using a probabilistic crew absence and recovery model," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(4), pages 543-565, April.
    • Handle: RePEc:taf:tjorxx:v:71:y:2020:i:4:p:543-565
    DOI: 10.1080/01605682.2019.1567649
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    Cited by:

    1. Borgonjon, Tessa & Maenhout, Broos, 2022. "An exact approach for the personnel task rescheduling problem with task retiming," European Journal of Operational Research, Elsevier, vol. 296(2), pages 465-484.
    2. Vojtech Graf & Dusan Teichmann & Michal Dorda & Lenka Kontrikova, 2021. "Dynamic Model of Contingency Flight Crew Planning Extending to Crew Formation," Mathematics, MDPI, vol. 9(17), pages 1-28, September.

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