考虑维修效能的修理级别优化

修理级别分析(LORA)是在装备研制阶段为建立使用维修制度而进行产品维修决策的重要方法,而修理级别分析无法决策每级站点的备件配置数量.为此,相对于传统研究,提出了一种在装备保障系统中重点考虑维修时间的库存与修理级别分析联合优化方法,并对该方法作了系统的分析,确定了修理级别优化模型的目标函数和建模条件,解析了故障送修数量、备件需求、备件短缺等随机变量在多级多站点保障组织中的传递耦合关系,将维修时间参数引入到传统的只考虑维修费用的修理级别量化分析中,建立了联合修理级别和备件库存的单层三级优化模型;分析了优化问题的特点,设计了高效率的多变量凸优化算法,使得该模型能够高效地应用于多级多站点多类型备件的复杂保障系统;最后构建了优化方法应用案例,并利用仿真验证了该算法和模型的正确性,为修理级别分析工作的开展提供了一套可行的优化方法.

Optimization of repair level considering maintenance effectiveness

Level of repair analysis (LORA) is an important method of maintenance decision for establishing system of operation and maintenance in the equipment development period, but it can not decide the spares inventory at each location in repair network. To this end, compared with traditional research, a jointly optimization method of LORA and spares inventory considering maintenance time in equipment support system was proposed and systematically analyzed. Thus the objective function and modeling condition of LORA optimization model were decided, and then the transferring and coupling relations of random variables such as number of failures sent to repair, spares demand, spare backorders etc., in support organization of multi echelon and multi station, were resolved. Maintenance time parameter was introduced into traditional quantitative level of repair analysis and joint optimal model combining level of repair and spare stock was established. Meanwhile, efficient convex optimization algorithm with multi-variable was designed by analyzing the characteristic of optimization problem, which was highly effective when applied to complicated support system of multi-echelon, multi-station and multi-spare. Finally, an application case of optimization method was established and the correctness of algorithm and model were verified by simulation, which provides a feasible optimization method for carrying out LORA.