The fleet assignment problem: solving a large-scale integer program
Mathematical Programming: Series A and B
Daily aircraft routing and scheduling
Management Science
Flight String Models for Aircraft Fleeting and Routing
Transportation Science
Airline Fleet Assignment with Time Windows
Transportation Science
Benders Decomposition for Simultaneous Aircraft Routing and Crew Scheduling
Transportation Science
Simultaneous Assignment of Locomotives and Cars to Passenger Trains
Operations Research
Airline Crew Scheduling with Time Windows and Plane-Count Constraints
Transportation Science
Improving Crew Scheduling by Incorporating Key Maintenance Routing Decisions
Operations Research
Applications of Operations Research in the Air Transport Industry
Transportation Science
An integrated aircraft routing, crew scheduling and flight retiming model
Computers and Operations Research
Computers and Operations Research
A hybrid algorithm for a class of resource constrained scheduling problems
CPAIOR'05 Proceedings of the Second international conference on Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
Integrated Airline Fleet and Crew Robust Planning
Transportation Science
INFORMS Journal on Computing
Exact approaches for integrated aircraft fleeting and routing at TunisAir
Computational Optimization and Applications
Practical enhancements to the Magnanti-Wong method
Operations Research Letters
Integrated staffing and scheduling for an aircraft line maintenance problem
Computers and Operations Research
An integrated scenario-based approach for robust aircraft routing, crew pairing and re-timing
Computers and Operations Research
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Airline scheduling is composed of fleet assignment, aircraft maintenance routing, and crew scheduling optimization subproblems. It is believed that the full optimization problem is computationally intractable, and hence the constituent subproblems are optimized sequentially so that the output of one is the input of the next. The sequential approach, however, provides an overall suboptimal solution and can also fail to satisfy the maintenance constraints of an otherwise feasible full problem. In this paper several integrated models for the optimization of airline scheduling are presented for the first time, and solved by applying an enhanced Benders decomposition method combined with accelerated column generation. Solutions of several realistic data sets are computed using the integrated models, which are compared with solutions of the best known approaches from the literature. As a result, the integrated approach significantly reduces airline costs. Finally, a comparison of alternative formulations has shown that keeping the crew scheduling problem alone in the Benders subproblem is much more efficient than keeping the aircraft routing problem.