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

Author

Listed:
  • Omar Ezzinbi

    (ENSIAS, Mohammed V University, Rabat, Morocco)

  • Malek Sarhani

    (ENSIAS, Mohammed V University, Rabat, Morocco)

  • Abdellatif El Afia

    (ENSIAS, Mohammed V University, Rabat, Morocco)

  • Youssef Benadada

    (ENSIAS, Mohammed V University, Rabat, Morocco)

Abstract

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.

Suggested Citation

  • Omar Ezzinbi & Malek Sarhani & Abdellatif El Afia & Youssef Benadada, 2014. "Preventive Maintenance with Aircraft on Ground Case Consideration, and Airline Crew Scheduling Problem: A Meta-Heuristics Approaches," International Journal of Applied Logistics (IJAL), IGI Global, vol. 5(2), pages 62-73, April.
    • Handle: RePEc:igg:jal000:v:5:y:2014:i:2:p:62-73
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