Robust Airline Fleet Assignment: Imposing Station Purity Using Station Decomposition
Transportation Science
Robust Airline Fleet Assignment: Imposing Station Purity Using Station Decomposition
Transportation Science
Robust Airline Crew Pairing: Move-up Crews
Transportation Science
Integrated Airline Fleet and Crew Robust Planning
Transportation Science
Disruption management in the airline industry-Concepts, models and methods
Computers and Operations Research
A multi-objective approach for robust airline scheduling
Computers and Operations Research
Robust Airline Scheduling Under Block-Time Uncertainty
Transportation Science
Solving a robust airline crew pairing problem with column generation
Computers and Operations Research
An Optimization Approach to Airline Integrated Recovery
Transportation Science
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Airline decision makers cancel flights in operations because of disruptions. When canceling a flight, they usually cancel a cycle, a sequence of flights that begins and ends at the same airport. Consequently, a fleet assignment and aircraft rotation with many short cycles is frequently less sensitive to a flight cancellation than one with only a few short cycles. In this paper, we determine a lower bound for the number of short cycles using the hub connectivity of a fleet assignment, and we present fleet-assignment models (FAMs) that embed many short cycles and reduce hub connectivity within a solution. We show that solutions to such models perform better in operations than those of traditional FAMs that minimize planned operating cost and passenger spill.