Robust
Airline Crew Scheduling
Due
to the flight disruptions in operations, the crew scheduling cost at the end of a
month is substantially higher than the projected cost in planning. We present a
model that yields more robust crew schedules in planning. Besides the objective
of minimizing the cost, we introduce the objective of maximizing the number of
crew that can be swapping in operations. We present a solution methodology for solving
the resulting model. The produced crew schedules are evaluated with a
simulation. Several possible extensions and directions will be discussed.