任意寿命分布的多部件系统备件配置优化算法

针对部件服从任意寿命分布的多部件系统,提出了基于蒙特卡罗仿真-边际效益分析的备件配置优化算法,采用蒙特卡罗仿真方法计算备件供应效能值,在此基础上引入边际效益分析法确定备件的优化配置.算例中以供应延误时间为供应效能目标值,以费用为约束条件,得到了由若干指数寿命件、正态寿命件和威布尔寿命件组成的多部件系统的备件优化配置清单,并对算法进行了比较验证,结果表明该算法对于解决复杂系统的备件优化配置问题具有良好的适用性.

Algorithm for spares optimization of system with multi-items with different life distributions

Focusing on the system with multi-items with different life distributions, the Monte Carlo simulation-marginal analysis based algorithm for spares optimization was presented. The Monte Carlo simulation was used in calculating spares supply performance. Based on the spares supply performance, the marginal analysis was introduced in identifying the optimum spares configuration. In the case of spares optimization of system with multi-items whose life respectively submit to exponential, normal and weibull distribution, the optimum spares list was acquired with mean supply down time being as spare supply performance measure and cost being as constraint. The algorithm was validated by comparison. The result shows the algorithm′s applicability in spares optimization of complex system.