关键词: 民机维修, 维修规划, 维修费用, 寿命周期费用, 修理级别, 免疫粒子群算法

Abstract:

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 research 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.

Key words: aircraft maintenance, maintenance programming, maintenance cost, life cycle cost, level of repair analysis, immunityparticle swarm