装备修理级别与备件库存联合优化模型研究
Research on Joint Optimizing Model of Equipment LORA and Spare Parts Inventory

在进行装备修理级别（level of repair analysis，LORA）及备件库存求解时，普遍采用二者单独优化得到各自费用最小值，而二者和不一定最小。针对该问题，以装备可用度为约束条件，装备LORA与备件库存费用之和最低为优化目标，结合多等级多层级备件库存分配建模理论（VARI-METRIC），构建了一个三层两级的非线性联合优化模型。在此基础上，分析了备件库存费用与LORA中可变费用的关系，设计了一种迭代-贪婪启发式算法对模型进行求解。相比对修理级别及备件库存单独进行优化，所提出的联合优化方法可节约维修费用。
The traditional method is that LORA (Level of Repair Analysis) and spare parts inventory are solved respectively, and then each minimum value is obtained, but the sum of them will not be the necessarily smallest. Aiming at this problem, we treat the equipment availability as the constraint condition, serve the smallest sum of cost of equipment LORA and spare parts inventory as the optimization objective, and present a nonlinear integer programming joint optimizing model based on the multi-echelon-multi-indenture, theory for recoverable item control (VARI-METRIC). On this basis, the relation between spare parts inventory's costs and variable costs of LORA is analyzed, further, an iterative-greedy heuristic algorithm is presented and the problem is solved by the algorithm. Compared with the respective optimization of LORA and spare parts inventory, the joint optimizing method of equipment LORA and spare parts inventory can save maintenance cost