Airline operations are subject to a number of stochastic influences which result into variable ground and block times for same flights on different days. Our research explores how airline operations control centers may benefit from an integrated decision support system for schedule recovery during aircraft ground operations. In this paper, we study the sensitivity of an optimal set of schedule recovery options towards uncertain arrival times. The calculation of recovery options is based upon an integrated and iterative scheduling and optimization algorithm, which incorporates uncertainties for arrival flights as a function of a given look-ahead time. Potential recovery options include stand re-allocation, quick-turnaround, quick passenger transfer, waiting for transfer passengers, cancellation of passenger or crew connections, and arrival prioritization. Within a case study setting at Frankfurt Airport, 20 aircraft turnarounds are analysed during a morning peak with their respective estimated arrival times (including potential arrival delays). The analysis of simulation results reveals an almost identical set of selected recovery options under high uncertainty circumstances and from post-operational point-of-view, which indicates high solution stability.

航空公司的运营会受到多种随机影响，导致不同日期的同一航班的起降时间和起降时间不同。我们的研究探索了航空公司运营控制中心如何从集成的决策支持系统中受益，以便在飞机地面运营期间恢复时间表。在本文中，我们研究了最佳的计划恢复选项对不确定的到达时间的敏感性。恢复选项的计算基于集成的迭代计划和优化算法，该算法将到达航班的不确定性作为给定超前时间的函数。可能的恢复选项包括展位重新分配，快速周转，快速乘客转移，等待转移乘客，取消乘客或机组连接，和到达优先顺序 在法兰克福机场的一个案例研究环境中，分析了早晨高峰期间20架飞机的周转情况及其各自的预计到达时间（包括潜在的到达延迟）。对模拟结果的分析揭示了在高度不确定性情况下以及从操作后的角度来看，几乎相同的选定恢复方案集，这表明解决方案具有很高的稳定性。