Integrated Airline Fleet and Crew Robust Planning
Transportation Science
An iterative approach to robust and integrated aircraft routing and crew scheduling
Computers and Operations Research
INFORMS Journal on Computing
Truck Driver Scheduling in the European Union
Transportation Science
On a New Rotation Tour Network Model for Aircraft Maintenance Routing Problem
Transportation Science
On a New Rotation Tour Network Model for Aircraft Maintenance Routing Problem
Transportation Science
Exact approaches for integrated aircraft fleeting and routing at TunisAir
Computational Optimization and Applications
Integrated Airline Crew Pairing and Crew Assignment by Dynamic Constraint Aggregation
Transportation Science
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The tactical planning process of an airline is typically decomposed into several stages among which fleeting, aircraft routing, and crew pairing form the core. In such a decomposed and sequential approach, the output of fleeting forms the input to aircraft routing and crew pairing. In turn, the output to aircraft routing is part of the input to crew pairing. Due to this decomposition, the resulting solution is often suboptimal. We propose a model that completely integrates the fleeting and crew-pairing stages and guarantees feasibility of plane-count feasible aircraft routings, but neglects aircraft maintenance constraints. We design two solution methodologies to solve the model. One is based on a combination of Lagrangian relaxation and column generation, while the other one is a Benders decomposition approach. We conduct computational experiments for a variety of instances obtained from a major carrier.