Solving the flight perturbation problem with meta heuristics
Journal of Heuristics
Duty-period-based network model for crew rescheduling in European airlines
Journal of Scheduling
Flight operations recovery: New approaches considering passenger recovery
Journal of Scheduling
Disruption management in the airline industry-Concepts, models and methods
Computers and Operations Research
Expert Systems with Applications: An International Journal
An Optimization Approach to Airline Integrated Recovery
Transportation Science
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Disruptions in airline transportation systems can prevent airlines from executing their schedules as planned. Adverse weather conditions, congestion at airports, and mechanical failures often hinder a flight schedule. During such events, decision makers must reschedule flight legs, and reroute aircraft, pilots, and passengers. We present an optimization model that reschedules legs and reroutes aircraft by minimizing an objective function involving rerouting and cancellation costs. We develop a heuristic for selecting which aircraft are rerouted, and we provide proof of concept by evaluating our model using a simulation of airline operations. Finally, we revise the model to minimize crew and passenger disruptions.