A fuzzy set theory approach to the aircrew rostering problem
Fuzzy Sets and Systems
Flight graph based genetic algorithm for crew scheduling in airlines
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on evolutionary algorithms
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Crew scheduling is a crux of running a regional airline. The regional airline is characterized as a crew dependant airline due to the fact that the flight operation of the airline is rather strictly constrained by crew availability and qualifications. Furthermore, the airline must accommodate frequent changes in flight crew requirements due to seasonal or monthly flight demand fluctuation. In this paper, a heuristic approach is proposed to schedule the airline's crew members. Additionally, an integer linear programming formulation is suggested to verify the feasibility of the heuristic approach. Evaluation purposes, the crew schedules of the operation of the regional airline were generated to check the computational advantages of the approach. The proposed heuristic approach finds a good crew schedule with computational efficiency for the airline.