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中文摘要：
修理级别分析（LORA）是飞机保障性分析的一个重要内容,是在设计阶段评估维修对飞机成本影响的一种系统分析方法。现有的LORA经济性分析模型对于系统寿命周期的维修费用考虑不够,且不适合民用飞机维修特点,基于此,提出了一个适合民用飞机维修规划三层三级的LORA经济性分析的数学模型,在此基础上,以最小化维修成本为目标建立了维修级别优化模型,并利用免疫粒子群算法超强的多变量、非线性及全局优化能力,对所提出的民机维修级别优化模型进行了求解。最后通过算例的比较分析,说明了本文LORA经济性分析模型的合理性以及模型求解算法的高效性。
英文摘要：
Level of repair analysis （LORA） plays a significant role in support analysis of equipment. It is used during the design stage of equipment for analysis of the cost effectiveness of maintenance strategies. But the rescarch and the application on the life cycle maintenance cost of LOAR problem are still insufficient at present. And LORA economic evaluation models do not fit the characteristic of civil aircraft maintenance. In this article, a three-echelon-three-indenture mathematical model for economic evaluation aircraft maintenance programming is presented. Further, the optimization model is provided to minimize the life cycle maintenance cost. And the solution methodology based on immunity-particle swarm is given out. Particle swarm optimization （PSO） is advanced in its code, pace and robustness to tackle complex problems with a larger number parameters. And artificial immunity algorithm is used to help limit the tendency for premature convergence of particle swarm and to help escape from local optima. Finally, examples are analyzed in detail for the method mentioned above. The results show that the economic evaluation model for LORA is correct and reasonable. And the solution methodology is also accurate and efficient.
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