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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。
Aiming at the problem of maintenance and repair of carrier-based k / N system during mission period, this paper studies the background of the maintenance during the preparation phase and the configuration of spare parts. Combined with the use and maintenance of k / N system, a joint optimization model of maintenance and carrying of spare parts is established on the premise of repairable components. The model takes the availability of equipment as the constraint condition and the lowest guarantee cost as the objective function. The decision variables include maintenance start-up conditions, spare parts carrying capacity and maintenance personnel quantity. The marginal analysis method is used to solve the model, the problems existing in the traditional algorithm are analyzed, and the corresponding improvement measures are put forward. The example includes three parts: one is to validate the model by comparison with the simulation results show that the model has less error; the other is based on the optimal solution obtained by the enumeration method as a benchmark, the traditional algorithm and the improved algorithm The results show that the improved algorithm can significantly reduce the relative error of the optimal solution with the enumeration method and improve the probability of finding the optimal solution. Thirdly, the contribution of each improvement measure is tested accordingly.