交通装备售后绩效保障系统控制策略研究

Control Polices on After-sale Performance-based Support System for Transportation Equipment

针对装备售后保障逐渐向绩效保障模式转变的趋势.文章研究绩效模式下的交通装备售后保障系统控制策略,分析部件损耗特征并给出不同模拟情境下的最优控制策略;首先,从仓库备件库存出发推导出备件库存水平状态概率分布,并获得如可用度等系统绩效性能指标,然后,建立绩效约束的保障系统优化模型并设计出有效的遗传算法;最后,进行数值实验;结果表明,平均故障间隔时间对保障系统控制策略的影响大,而备件可修复率对保障系统控制策略的影响较小。

After-sales support of equipments has the trend of shifting to the performance-based support pattern gradually. This paper studies control polices on transportation equipment support system under performance-based contract, analyzes the spare parts loss characteristics and presents the optimal control polices in different simulation situations. Firstly, the steady-state probability distributions of inventory level at spare parts warehouse are derived and several important performance measures are obtained, such as system availability. Then an optimization model with performance constrained is setup and an efficient genetic algorithm is proposed. Finally, several numerical experiments are performed. The results shown that the average time between failures has much more effect on the optimal control strategy than the repair rate of the spare parts.