基于PSO的方案阶段修理级别优化方法  

Optimal approach for level of repair analysis in concept phase based on PSO algorithm

作　　者：郭霖瀚[1] 卞洁辉[1] 王乃超[1] 康锐[1] 

机构地区：[1]北京航空航天大学可靠性与系统工程学院,北京100191

出　　处：《系统工程与电子技术》2013年第1期97-101,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金(70901004;71171008;61104132)资助课题

摘　　要：提出一种方案阶段装备修理级别的优化方法,在缺少系统外场可更换单元构型信息的情况下,对基层级和基地级多个保障站点的送修比进行优化设计。首先分析方案设计阶段修理级别优化建模影响因素,包括装备可用度和维修费用;然后建立可用度和期望备件短缺数的转化关系,以系统库存短缺期望为目标函数,以维修费用为约束,构建修理级别的优化模型,用粒子群算法求解优化模型,并设计算法;最后以某装备的修理级别分析为例,验证模型的正确性和算法的有效性,充分证明了在方案阶段实施修理级别的优化设计,对后续阶段装备及其保障系统的设计和分析都具有重要的指导作用。An approach to optimize level of repair for materiel during concept phase is presented. The opti mal percentage of sending a fault to operating site and central depot respectively without configuration informa- tion of line replaceable unit are designed. First, the factor which consists of availability and maintenance cost which influences modeling the optimization problem of level of repair during concept phase is analyzed. Then the transposition relationship of availability and expect backorder （EBO） is confirmed. The optimization model is established, which is solved by the particle swarm optimization and the objective function is EBO while the con- straint is maintenance cost. The swarm algorithm is developed to resolve the optimal problem. Finally, the cor- rectness of the model and the effectiveness of the algorithm are validated through a case for level of repair analy- sis. It proves that the implement optimal design for the determining level of repair during concept phase has an important role in guiding design and analysis for materiel and support system in the following stages.

关 键 词：保障性分析 修理级别优化 粒子群优化算法 方案阶段 费效比 

分 类 号：TB114.3[理学—概率论与数理统计]