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.