Abstract The study of airline irregular operations in the operations research community has been a very recent phenomenon, compared with other much-researched areas such as flight assignment and crew scheduling. Crew management during irregular operations is usually the bottleneck of the whole system-recovering process due to complicated crew schedules and restrictive crew legalities, as well as the size and scope of the hub-and-spoke networks adopted by major carriers. This chapter introduces and analyzes the crew management problem during irregular operations, also known as crew pairing repair problem. A system-wide, multi-commodity integer network flow model and a heuristic search algorithm are presented and discussed. The computational experiences show that the algorithm is efficient enough for real-time decision support.


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    Titel :

    A Decision Support Framework for Crew Management During Airline Irregular Operations


    Beteiligte:
    Song, Mark (Autor:in) / Wei, Guo (Autor:in) / Yu, Gang (Autor:in)


    Erscheinungsdatum :

    1998-01-01


    Format / Umfang :

    28 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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