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Testing Policies and Key Influences on Long-Term Aircraft Fleet Management Using Designed Simulation Experiments

机译:使用设计的模拟实验测试策略和对飞机机队长期管理的关键影响

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We apply a designed simulation experiment approach to a model of a fleet of military aircraft. The model represents a fleet of naval combat helicopters over its life and includes flying rates, all types of maintenance, and embarked and ashore components. The fleet aims to achieve ongoing flying requirements embarked and ashore while also achieving a balanced load of flying hours across the fleet and for each aircraft. We test six types of fleet management policies within the model, relating to the allocation of flying rates and maintenance effort, cross-training of maintainers, sharing resources between colocated squadrons, and two policy heuristics for achieving fleet management goals and requirements. We also include a number of input variables (i.e., factors) regarding flying rates and the unknown failure rates and repair times associated with unscheduled maintenance. The simulation experiment thus incorporates continuous and discrete factors, as well as categorical factors for the six fleet management policy types. We demonstrate the power of the simulation experimental design approach in revealing not just the key factors and policies, but the extent of their relative influence. This allows us to advise fleet managers where to direct their focus to obtain best performance over a fleet life.
机译:我们将设计的模拟实验方法应用于军机机队的模型。该模型代表了其生命周期中的海军战斗直升机机队,包括飞行率,所有类型的维护以及登船和岸上部件。机队的目的是实现不断上飞机和上岸​​的飞行要求,同时还实现整个机队和每架飞机的飞行小时均衡负载。我们在模型中测试了六种类型的机队管理政策,涉及飞行率的分配和维护工作量,维护人员的交叉培训,并列中队之间的资源共享以及用于实现机队管理目标和要求的两种策略试探法。我们还包括许多有关飞行率和未知故障率以及与计划外维护相关的维修时间的输入变量(即因素)。因此,模拟实验结合了六种车队管理策略类型的连续因素和离散因素以及分类因素。我们展示了模拟实验设计方法的力量,它不仅揭示了关键因素和策略,而且还揭示了它们的相对影响程度。这使我们可以为车队经理提供建议,指导他们将精力集中在车队的整个生命周期内,以获得最佳性能。

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