Abstract: To effectively recover irregular flights, and reduce flight cancellation rate and recovery costs, on the basis of the separate aircraft recovery and passenger flow recovery, an integrated recovery optimization model is built. By this model, it combines the two recoveries, adds aircrew recovery, and minimizes the costs of aircraft, crew and passenger flow. In the model, aircraft assignment, passengers' itinerary assignment, time limits of flight, the assignment and time limits of aircrew, reserved crew are considered and the costs of the passenger flow are subdivided, including passenger delay cost, the cost of changing routes, and the cost of changing transportation. A domestic airline example with two kinds of aircraft disrupted conditions is presented to verify the correctness and validity of the integrated model. It is solved by using LINGO10.0 and it turns out that the recovery costs of the two scenarios are reduced by 33.462% and 2-103%, respectively, compared with the postponing solution in the small case. The recovery time of 100 flights is 5-13 min, the flight cancellation rate is 6%, and the passenger transportation changing rate is 3-17% in the medium case.

Key words: irregular flights, aircraft recovery, passenger flow recovery, integrated recovery, optimization model