北京航空航天大学学报 ›› 2016, Vol. 42 ›› Issue (10): 2189-2197.doi: 10.13700/j.bh.1001-5965.2015.0622

• 论文 • 上一篇    下一篇

k/N系统维修时机与备件携行量联合优化

张永强1,2, 徐宗昌1, 呼凯凯1, 胡春阳1   

  1. 1. 装甲兵工程学院 技术保障工程系, 北京 10007;
    2. 海军航空兵学院 兴城场站, 葫芦岛 125000
  • 收稿日期:2015-09-23 出版日期:2016-10-20 发布日期:2016-02-18
  • 通讯作者: 徐宗昌,Tel.:18613886550,E-mail:wying40852@163.com E-mail:wying40852@163.com
  • 作者简介:张永强,男,博士研究生。主要研究方向:舰船携行备件优化、装备保障特性与综合保障。Tel.:15501002723,E-mail:zqy1983@163.com;徐宗昌,男,教授,博士生导师。主要研究方向:装备保障特性与综合保障、装备IETM。Tel.:18613886550,E-mail:wying40852@163.com;呼凯凯,男,博士研究生。主要研究方向:装备保障特性与综合保障。Tel.:15210684955,E-mail:hkk1987@163.com;胡春阳,男,硕士研究生。主要研究方向:装备保障特性与综合保障。Tel.:18511339100,E-mail:hcy1992@163.com

Joint optimization of maintenance time and carrying spare parts for k-out-of-N system

ZHANG Yongqiang1,2, XU Zongchang1, HU Kaikai1, HU Chunyang1   

  1. 1. Department of Technical Support Engineering, Academy of Armored Force Engineering, Beijing 10007;
    2. Xingcheng Station, Naval Air Force Institute, Huludao 125000, China
  • Received:2015-09-23 Online:2016-10-20 Published:2016-02-18

摘要: 针对任务期间舰载k/N系统的维修保障问题,以出航准备阶段维修与携行备件的配置为背景展开研究。结合k/N系统的使用及维修过程,以部件可修为前提建立了维修与携行备件的联合优化模型。模型以装备使用可用度为约束条件,以保障费用最低为目标函数,决策变量包括维修启动条件、备件携行量和维修人员数量3个参数。采用边际分析法对模型进行求解,分析了传统算法存在的问题,并提出了对应的改进措施。算例包括3部分:一是用仿真对比验证了所建模型,结果表明本文模型具有较小的误差;二是以枚举法得出的最优解为基准,对传统算法与改进后算法的性能进行了比较,结果表明改进后的算法可明显减小与枚举法最优解的相对误差,提高寻优概率;三是对各项改进措施的贡献做了相应测试。

关键词: k/N系统, 携行备件, 联合优化, 可修件, 边际分析法

Abstract: Maintenance support of repairable warship k-out-of-N system during a task was researched. A method of how to trade off maintenance frequency, carrying spare parts and repair capacity was given. Taking the three parameters as decision variables and combined with the using and maintenance processes of k-out-of-N system, a joint optimization model of maintenance and carrying spare parts was established, in which operational availability was taken as a constraint condition and minimal maintenance costs as objective function, and repair initial condition, numbers of carrying spare parts and numbers of repair men were taken as decision variables. A modified marginal analysis algorithm was applied to solve the model through improving some drawbacks of the traditional one, and the drawbacks and corresponding improvements were also listed. Three tests were done: firstly, in order to verify the proposed model, a simulation for k-out-of-N system was implemented, and the results show that the absolute error of the proposed model is very small; second, using the optimal solution of enumeration as benchmark, performances of traditional marginal analysis algorithm and its modified algorithm were compared, and the results show that the modified algorithm has lower error and can enhance optimizing probability; third, the contribution of each modified item to marginal analysis algorithm was respectively tested.

Key words: k-out-of-N system, carrying spare parts, joint optimization, repairable components, marginal analysis algorithm

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