This study formulates an innovative aircraft preventive maintenance model by taking into account the aircraft on ground (AOG) problem. The proposed model is solved by using binary particle swarm optimization (BPSO) and Genetic Algorithm (GA). It also proposes a methodology solution based on BPSO and GA to solve the airline crew scheduling problem. Additionally, a study of computational results is given to improve the quality of the solutions and the performance of the proposed algorithms.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Preventive Maintenance with Aircraft on Ground Case Consideration, and Airline Crew Scheduling Problem: A Meta-Heuristics Approaches


    Beteiligte:


    Erscheinungsdatum :

    2014


    Format / Umfang :

    12 Seiten, 35 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Aircraft Scheduling with Maintenance and Crew Consideration

    Yao, Yufeng / Zhao, Wei / Ergun, Ozlem et al. | AIAA | 2005


    The Operational Airline Crew Scheduling Problem

    Stojkovic, M. / Soumis, F. / Desrosiers, J. | British Library Online Contents | 1998


    The Operational Airline Crew Scheduling Problem

    Stojkovic, Mirela | Online Contents | 1998


    Airline Crew Scheduling With Regularity

    Klabjan, D. / Nemhauser, G. / Johnson, E. et al. | British Library Conference Proceedings | 1999


    Airline Crew Scheduling with Regularity

    Klabjan, Diego | Online Contents | 2001