考虑旅客满意度的鲁棒性航班恢复模型

Flight recovery model based on consideration of passenger satisfaction robustness

不正常航班给航空公司造成了一定损失,但很少有人从旅客的角度考虑由此带来的巨大潜在损失。一旦发生不正常航班,如何在可接受的时间内减少受影响的航班以使航空公司的损失最小是航班恢复问题的难点。针对此问题,建立离散时空网络,设计旅客满意度多级模糊综合评价体系并给出了计算过程,提出总损失最小和鲁棒性最大的双目标航班恢复优化模型。通过求解模型能够得到合适的航班恢复方案,进而验证了所提模型的实用性和有效性。

Irregular flights cause a certain losses to airlines,but huge potential losses are not usually considered from the perspective of passengers.Once irregular flights occur,how to reduce affected flights within acceptable time to minimize the loss of airlines becomes a difficulty in resolving the flight recovery problem.Aiming at the above problems,a discrete time-space net-work is established,a multi-level fuzzy comprehensive evaluation system based on passenger satisfaction is designed with its cal-culation process presented,and a two-objective flight recovery optimization model aiming for minimum total loss and maximum robustness is proposed.An appropriate flight recovery schedule is obtained by solving the model,and the practicability and effec-tiveness of the proposed model are verified.