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A new aircrew-scheduling model for short-haul routes

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  • Chang, Shaw Ching

Abstract

The aircrew-scheduling model proposed here considers not only the performance of the crew scheduling process but also the flexibility of an irregular operation. A genetic algorithm is applied to solve this problem efficiently. In case of airline operations, with many scattered skeleton activities and frequently unexpected irregular events especially for the short-haul airlines, the method is more effective than the traditional aircrew-scheduling model.

Suggested Citation

  • Chang, Shaw Ching, 2002. "A new aircrew-scheduling model for short-haul routes," Journal of Air Transport Management, Elsevier, vol. 8(4), pages 249-260.
    • Handle: RePEc:eee:jaitra:v:8:y:2002:i:4:p:249-260
    DOI: 10.1016/S0969-6997(02)00006-6
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    References listed on IDEAS

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    1. Bernardo Nicoletti, 1975. "Automatic Crew Rostering," Transportation Science, INFORMS, vol. 9(1), pages 33-42, February.
    2. Michel Gamache & François Soumis & Gérald Marquis & Jacques Desrosiers, 1999. "A Column Generation Approach for Large-Scale Aircrew Rostering Problems," Operations Research, INFORMS, vol. 47(2), pages 247-263, April.
    3. Paul R. Day & David M. Ryan, 1997. "Flight Attendant Rostering for Short-Haul Airline Operations," Operations Research, INFORMS, vol. 45(5), pages 649-661, October.
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    Cited by:

    1. Souai, Nadia & Teghem, Jacques, 2009. "Genetic algorithm based approach for the integrated airline crew-pairing and rostering problem," European Journal of Operational Research, Elsevier, vol. 199(3), pages 674-683, December.
    2. Chang, Shaw-Ching, 2012. "A duty based approach in solving the aircrew recovery problem," Journal of Air Transport Management, Elsevier, vol. 19(C), pages 16-20.
    3. Kang, Liujiang & Wu, Jianjun & Sun, Huijun & Zhu, Xiaoning & Wang, Bo, 2015. "A practical model for last train rescheduling with train delay in urban railway transit networks," Omega, Elsevier, vol. 50(C), pages 29-42.

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