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Optimize a Thru Flight Inspection of a Fighting Falcon using Routing Algorithms

机译:使用路由算法优化ATHU飞行检查战斗猎鹰的飞行检查

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The process of checking inspection points on combat aircraft after a mission, is critical for their operational readiness. Manufacturers include specific inspection procedures in their maintenance handbooks. These procedures consist of detailed instructions for each check, the minimum time required to complete each check as well as a suggested sequence. However, it has been observed, that technical crews can complete inspection in less time than suggested by the manual, without violation of the time prescribed for each inspection point. In this work we will try to apply routing algorithms, to improve the total inspection time, by finding the optimal inspection sequence. This will be achieved without violating any constraint set by the manufacturer, except for the small reduction of the service time on some points. The algorithms we will use is the algorithmic set usually applied for the well-known PDPTW (pickup and delivery problem with time windows). Every inspection area is considered as a network G(N,A) consisting of nodes N, and arcs A. Every node (Inspection Point) is characterized by the Time Window, defined as the time interval earliest-latest [e_i,l_i], during which the point should be inspected. It is also characterized by the Service Time s_i, defined as the time required to complete the check on this point. Every arc between two nodes describes the time c_(od), needed for the technician to move from the first node (Origin) to second node (Destination). These algorithms will be run to produce the optimal path (sequence) or the best attainable suboptimal path that minimizes the objective. The data set consists of real data from inspections logs.
机译:在使命之后检查战斗机检查点的过程对他们的操作准备至关重要。制造商包括其维护手册中的特定检查程序。这些程序包括每个检查的详细说明,完成每个检查所需的最短时间以及建议的序列所需的最短时间。然而,已经观察到,技术人员可以在更短的时间内完成检查,而不是手动建议,而无需违反每个检查点规定的时间。在这项工作中,我们将尝试应用路由算法,通过找到最佳检查序列来改善总检验时间。除了违反制造商组的任何约束之外,这将实现这一点,除了在某些点上的服务时间缩小。我们将使用的算法是通常应用于众所周知的PDPTW(带时间窗口的拾取和交货问题)的算法集。每个检查区域被认为是由节点n组成的网络g(n,a),弧形A.每个节点(检查点)都是在时间窗口的特征,定义为最新的最新[E_I,L_I],在此期间应检查该点。它的特点是服务时间S_I,定义为在此点完成检查所需的时间。两个节点之间的每个弧描述技术人员所需的时间C_(OD)从第一节点(原点)移动到第二节点(目的地)。将运行这些算法以产生最佳路径(序列)或最小化目标的最佳可靠的次优路径。数据集包括来自检查日志的实际数据。

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