A mixed-integer model for aircraft fleet assignment and manpower planning problems under uncertainty

To optimize flight planning is an essentialpoint for every airline company must consider such as maximizing profits. Several stages involved in flight planning optimization, for example, the scheduling of the aircraft fleet, which should be planned optimally how to schedule the aircraft to different multi-leg flights. Howeverin reality the demand is uncertain at this early stage due to a variety of factors. We formulate a mixed integer stochastic programming model for solving the planning problem.