多约束下舰船装备携行备件保障方案优化方法  

Optimization Method of Carrying Spare Parts Support Project for Warship Equipment under Multi-constraints

作　　者：阮旻智[1] 李庆民[1] 张光宇[2] 姚刚[3] 

机构地区：[1]海军工程大学科研部,湖北武汉430033 [2]海军工程大学兵器工程系,湖北武汉430033 [3]海军大连舰艇学院军体教研室,辽宁大连116018

出　　处：《兵工学报》2013年第9期1144-1149,共6页Acta Armamentarii

基　　金：总装备部"十二五"预先研究项目(51304010206;51327020105)

摘　　要：针对装备携行备件方案的确定需要综合考虑多项约束指标,以出航任务准备阶段的随舰携行备件方案配置规划为研究背景,在备件质量、体积、费用以及装备可用度4项指标约束下,建立携行备件方案的配置优化模型。通过引入拉格朗日约束因子将各项指标转化为资源规模约束,采用边际算法对模型进行求解,并提出了初始约束因子的确定方法及其动态更新策略。通过对算例结果进行分析,验证了该研究方法的可行性。Due to the restriction of carrying ability and storage space for support resources, the multi-con- straints targets must be considered for the optimization of a carrying spare parts project. As to this prob- lem, the optimization of warship carrying spare parts project at mission preparation phase before sailing is taken as a research background. A carrying spare parts optimization model is established on the basis of the muhi-target constraints, such as mass, volume and cost of spare parts and equipment availability. The different constraint targets are transformed to the scale of spare parts resource constraint by introdu- cing Lagrange constraint factors. Marginal algorithm is applied to solve the optimization model, and the determination method of initial factors and its dynamic adjustment policy is presented. In the given exam- ple, the calculated result is analyzed, and the feasibility of the proposed method is verified.

关 键 词：运筹学 舰船装备 备件 多约束 配置优化 边际算法 可用度 

分 类 号：E917[军事] N945.17[自然科学总论—系统科学]