The Model of Flight Recovery Problem with Decision Factors and Its Optimization

For different scenarios of flight recovery problems, a mathematical model for flight recovery is constructed while considering the factors of decision variables and scenarios. The model deals with the problem of optimized objective functions and the constraints based on actual requirements. The mathematical optimization model M1 with determining recovery time is established to minimize the objective function of aircraft swapping, flight cancellation and flight delay cost. For the case of uncertain recovery time, or uncertain opening and closing time of the airport due to weather conditions, the mathematical optimization model M2 is used to make simple adjustments to the results obtained by the model M1, including flight rearrangements, flight delays or cancellations when curfew is encountered, and to minimize the total cost. For actual flight recovery time, the stochastic model M of the flight recovery problem is established by the combination of the constructed model M1 and M2. Finally, the lingo9 is applied to solve the optimization problem. The computational results indicate that the proposed model can handle actual target requirements of the flight recovery problem, and has the characteristics of good flexibility and scalability.