考虑多类维修优先权的多级维修供应系统库存控制

备件筹措与保障站点的维修能力和故障件维修机制密切相关。在经典VARI-METRIC模型上,拓宽了模型中"无限维修总体"和"先到先修"的假设条件,基于排队理论,考虑维修优先权对维修过程的影响,对故障件的维修周转时间进行了修正,建立了具有多类维修优先权的备件初始库存优化模型。构造了多站点优先权分配的目标函数,采用智能优化算法对优先权分配方案进行了优化;根据所得方案,采用边际优化算法进行了备件库存优化,提出了采用智能优化算法和边际优化算法对优先权分配方案和备件库存进行分步优化的方法,并开展了算法复杂度分析。算例分析表明,考虑优先权的备件配置方案在满足各项保障效能指标的同时,显著降低了备件购置费用;分步优化的方法在有效降低运算时间提高计算效率的同时保持了一定的计算精度。提出的模型和优化方法能够为装备保障人员制定合理的保障方案提供决策支持。

Inventory control of multi-echelon maintenance supply system with multiple repair priorities

The preparation of spare parts is closely related to the maintenance mechanism during the process of maintenance and support. Based on the traditional VARI-METRIC model, the assumption for infinite repair channel and first-come first-served service is relaxed. Considering the influence of multiple repair priorities for failure parts during the maintenance process, the computational model for average time is modified according to queuing system theory and the multi-echelon multi-indenture initial stock distribution model under repair priorities is established. The goal function for priority assignment is proposed and then the priority assignment project for each support site is optimized by intelligent optimization algorithm. Based on this, the spare parts'' inventory is optimized by marginal analysis algorithm. Consequently, the method of sequential priority assignment and stock optimization is proposed and then algorithm complexity is carried out. In a given example, a proper priority setting may lead to a significant reduction in the inventory investment required to attain the system support efficiency; the proposed sequential optimization method can significantly reduce the computation time when the accuracy is achieved. The proposed model and optimization method have a strong sense for equipment support staff to develop rational support programs.