摘要
在现实装备的维修中,针对发生故障的器材需选择经济与高效的维修级别进行维修,但往往这一问题受诸多因素的影响。为此,结合现有的成果,从定性和定量的角度,利用决策流图法给出了某型装备器材的多级维修流程,并分别构建了包含经济性和非经济性指标在内的多目标优化模型,利用TOPSIS和遗传算法的组合算法对模型进行求解,确定最优决策方案,最终通过实例仿真验证了方法的良好效果,为装备的维修保障提供了参考。
The economic and efficient level of repair is needed for the invalid parts in reality,which is often affected by many factors. Combined with the existing results,the decision-making flow chart is utilized for multi-level maintenance process of a certain equipment from the perspective of qualitative and quantitative. A multi-objective optimization model including economic and non-economic indicators is built. The optimal solution is determined by the combination of TOPSIS( technique for order preference by similarity to an ideal solution) and genetic algorithm which is illustrated effectively,and provides a reference for maintenance support of equipment.
出处
《现代防御技术》
2018年第1期162-170,共9页
Modern Defence Technology
基金
国家自然科学基金(51605487)
关键词
修理级别优化
决策流图
多目标优化
维修保障
组合算法
最优决策
optimization of LOR
decision-making flow chart
multi-objective optimization
maintenance support
combinational algorithm
optimal decision