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

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...

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Bibliographic Details
Published in:International journal of applied logistics 2014-04, Vol.5 (2), p.62-73
Main Authors: Ezzinbi, Omar, Sarhani, Malek, El Afia, Abdellatif, Benadada, Youssef
Format: Article
Language:English
Subjects:
Aircraft
Aircraft maintenance
Airline operations
Airlines
Algorithms
Commercial aircraft
Commercial planes
Computer software industry
Crews
Genetic algorithms
Grounds
Mathematical models
Mathematical optimization
Methods
Particle swarm optimization
Preventive maintenance
Scheduling
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Description
Summary: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.
ISSN:1947-9573
1947-9581
DOI:10.4018/ijal.2014040105