摘要
为了减少不正常航班给航空公司生产计划的实际运行带来的影响,在经典飞机排班模型的基础上,考虑航班的期望恢复成本和航班计划的鲁棒性2个因素,对飞机排班模型作了改进.从延误、取消、飞机交换和调机4种恢复措施讨论了航班期望恢复成本的构成,以总运行成本最小和总鲁棒性最大建立了双目标的鲁棒性飞机排班模型.在AIMMS软件中实现了该模型的求解,算例结果表明,在总运行成本增加不多的情况下,该模型能有效提高飞机排班计划的鲁棒性.
In order to reduce the impact of disrupted flights on the actual operations of airlines,the traditional aircraft scheduling model is improved by considering the estimated recovery cost of flights and robustness of the schedule.The constituents of the recovery cost are discussed based on four recovery strategies：delay,cancellation,swap and ferrying.A two-objective robust aircraft scheduling model is presented,which aims to minimize the total actual operation cost and maximize the total robustness of the scheduling model.AIMMS software is applied to solve the model.The results show that the model could effectively enhance the robustness of schedule without much increase on cost.
出处
《武汉理工大学学报（交通科学与工程版）》
2016年第6期1111-1115,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
