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'Optimization of aircraft maintenance/support infrastructure using genetic algorithms—level of repair analysis'

机译:“使用遗传算法优化飞机维护/支持基础设施-维修分析水平”

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摘要

Level of repair analysis (LORA) is an approach used during the design stage of complex equipment for analysis of the cost effectiveness of competing maintenance strategies. LORA is carried as a part of the life cycle cost and cost of ownership analysis and plays a significant role in minimizing the life cycle cost and cost of ownership of the capital equipment. Since many purchasing decisions of complex equipment are based on cost of ownership, it has become essential to carry out LORA to compete in the market. In this paper, we develop a mathematical model for LORA and propose a solution methodology based on genetic algorithms. The concept is illustrated using a hypothetical aircraft engine.
机译:维修水平分析(LORA)是在复杂设备的设计阶段使用的一种方法,用于分析竞争性维护策略的成本效益。 LORA是生命周期成本和拥有成本分析的一部分,在最小化生命周期成本和固定设备拥有成本方面发挥着重要作用。由于许多复杂设备的购买决策均基于拥有成本,因此开展LORA竞争市场已变得至关重要。在本文中,我们为LORA建立了数学模型,并提出了一种基于遗传算法的求解方法。使用假设的飞机发动机来说明该概念。

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