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Towards the optimisation of the schedule reliability of aircraft rotations

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  • Wu, Cheng-Lung
  • Caves, Robert E.

Abstract

A cost minimisation model is developed to optimise the scheduling of aircraft rotation by balancing the use of schedule time, which is designed to control flight punctuality, and delay costs. A case study is conducted using schedule and punctuality data from a European airline. Optimisation shows that the operational performance of an aircraft rotation schedule is improved in terms of: schedule regularity, mean delays and expected delays of aircraft rotation. Although the total schedule time of the study rotation is increased by 5%, a system cost saving of some $9.3 million/1000 aircraft rotations is gained after schedule optimisation. Three schedule reliability surrogates—mean delay time of aircraft rotation, expected delay time of aircraft rotation and schedule regularity—are employed to evaluate the reliability of aircraft rotation schedules. It is found that the reliability and robustness of schedule implementation is significantly improved after optimisation.

Suggested Citation

  • Wu, Cheng-Lung & Caves, Robert E., 2002. "Towards the optimisation of the schedule reliability of aircraft rotations," Journal of Air Transport Management, Elsevier, vol. 8(6), pages 419-426.
    • Handle: RePEc:eee:jaitra:v:8:y:2002:i:6:p:419-426
    DOI: 10.1016/S0969-6997(02)00042-X
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    References listed on IDEAS

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    1. Wu, Cheng-Lung & Caves, Robert E, 2000. "Aircraft operational costs and turnaround efficiency at airports," Journal of Air Transport Management, Elsevier, vol. 6(4), pages 201-208.
    2. 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.
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    4. Carey, Malachy, 1998. "Optimizing scheduled times, allowing for behavioural response," Transportation Research Part B: Methodological, Elsevier, vol. 32(5), pages 329-342, June.
    5. Carey, Malachy, 1994. "Reliability of interconnected scheduled services," European Journal of Operational Research, Elsevier, vol. 79(1), pages 51-72, November.
    6. Carey, Malachy, 1999. "Ex ante heuristic measures of schedule reliability," Transportation Research Part B: Methodological, Elsevier, vol. 33(7), pages 473-494, September.
    7. Adamski, Andrzej & Turnau, Andrzej, 1998. "Simulation support tool for real-time dispatching control in public transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(2), pages 73-87, February.
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    Cited by:

    1. 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.
    2. Yimga, Jules & Gorjidooz, Javad, 2019. "Airline schedule padding and consumer choice behavior," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 71-79.
    3. Wu, Cheng-Lung, 2005. "Inherent delays and operational reliability of airline schedules," Journal of Air Transport Management, Elsevier, vol. 11(4), pages 273-282.
    4. Wong, Jinn-Tsai & Tsai, Shy-Chang, 2012. "A survival model for flight delay propagation," Journal of Air Transport Management, Elsevier, vol. 23(C), pages 5-11.
    5. 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.

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