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以具有隐蔽功能故障的舰载装备为研究对象,系统保障总成本最低为目标函数,系统使用可用度与备件储存空间为约束条件,建立了机会维修策略下检修间隔与备件携行量的联合优化模型。采用蒙特卡洛仿真方法和粒子群优化算法对定期补给间隔下的最优保障方案进行了优化,并通过算例验证了该方法的可行性,分析了不同约束条件下保障方案的灵敏度。
Taking the shipboard equipment with concealed malfunction as the research object and the lowest total cost of system protection as the objective function, the system uses the availability and the spare parts storage space as the constraints, and establishes the joint optimization model of the maintenance interval and spare parts carrying capacity under the opportunistic maintenance strategy . The Monte Carlo simulation method and Particle Swarm Optimization (PSO) algorithm are used to optimize the optimal guarantee scheme under periodic replenishment interval. The feasibility of this method is verified by an example. The sensitivity of the scheme under different constraints is analyzed.