摘要
备件是装备保障中重要的保障资源之一,是保证装备系统良好战备状态和恢复战斗力的重要因素。针对预防性维修中k/N系统备件配置模型不合理导致保障效益低下的问题,提出一种新的备件配置优化模型。模型考虑不同的故障类型对备件配置的影响,以配置备件数目最小为目标函数,以新构建的使用可用度模型和保障费用模型为约束条件,利用惯性权重递减的改进粒子群算法来提高模型求解效率。最后给出一个算例,结果表明模型能够合理的进行备件配置,给出最优备件配置方案,获取最佳的经济效益,提高装备系统保障效能。
Spare parts are important parts of equipment support resources,and they play key roles to ensure that equipment system can be in a good state of combat readiness to recover effectiveness. In view of the problem that unreasonable allocation of spare parts in k/N system leads to the low support benefit in preventive maintenance,we propose a new optimization model spare parts allocation. In the model,considering the impact of different failure types on the configuration of the spare parts,we regard the original number of spare parts allocation as the objective function and the availability and maintenance support costs as constraints. The settlement efficiency can be increased by using particle swarm optimization algorithm which is improved by the strategy of decreasing inertia weight to make a reasonable optimal allocation for spare parts. At last,an example is given and the result shows that the model can be reasonable to allocate the spare parts and find the optimal allocation program of spare parts to improve the effectiveness of equipment system security.
作者
付冰
刘福胜
闫旭
FU Bing LIU Fu-sheng YAN Xu(Academy of Armored Force Engineering, Department of Technical Support Engineering,Beijing 100072,China)
出处
《现代防御技术》
北大核心
2017年第5期155-161,共7页
Modern Defence Technology
关键词
k/N系统
保障备件
使用可用度
保障费用
配置优化
改进粒子群算法
k/N system
spare parts
operational availability
support cost
allocation optimizing
improved particle swarm optimization
