飞机和旅客流一体化恢复模型

An Integrated Recovery Model for Aircraft and Passenger Flow

为了有效恢复非正常航班,降低航班取消率,减少恢复成本,在独立飞机恢复和旅客流恢复基础上,将2种恢复有效结合,加入机组约束,使飞机、机组和旅客3种资源成本达到最小,建立飞机和旅客流一体化恢复优化模型。该模型考虑飞机指派、旅客行程指派、航班时间约束、机组指派和时间约束、备用机组等,将旅客成本分为旅客延误成本、旅客改换航线成本、旅客改换运输方式成本。引用国内某航空公司算例,设置两种飞机干扰情景,并应用优化求解器Lingo 10.0来验证模型的正确性和有效性。结果表明,对于小规模算例,2种情景恢复成本比顺延方案降低33.462%和2.103%;对于中规模算例,100个航班恢复时间为5.13 min,航班取消率为6%,改换运输方式的旅客率为3.17%。

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 assign- ment, 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.