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航空公司工作中的一个重要部分就是不正常机组排班恢复,为减少机组排班不正常对航班运行计划的影响,以航空公司资源浪费最小为优化目标,在分析不正常机组排班要满足的客观约束条件下,建立了多机型不正常机组排班恢复的时空网络数学模型,并针对国内某航空公司的实际运营数据运用该模型进行实例分析,利用最小顶点覆盖(MDS)和BP方程法求解。结果表明:用MDS和BP方程法不仅加速了机组排班恢复的时间,更增加了机组排班恢复的鲁棒性。该方法利用完全相关结构,当遇到某些突发情况时,机组排班能自动随之调整,操作起来方法简便,适用面广,并且系统性强,便于普及和推广。
An important part of the airline’s work is the recovery of irregular crew scheduling. In order to reduce the impact of abnormal crew scheduling on the flight operation plan, and to minimize the airline’s waste of resources, the objective of analyzing irregular ship schedule to be met Objectively constrained, a mathematical model of spatio-temporal network for scheduling recovery of abnormal units with multiple aircraft models was established. Based on the actual operational data of an airline in China, the model was used to carry out an example analysis. By means of the minimum vertex coverage (MDS) and BP equation Solve. The results show that using MDS and BP equation method not only speeds up the schedule recovery but also increases the robustness of schedule recovery. The method utilizes the completely relevant structure. When encountering some unexpected situations, the flight scheduling of the flight crew can be automatically adjusted accordingly. The method is easy to operate, has a wide range of applications, and has a strong system and is convenient for popularization and promotion.