组合算法综合决策的装备修理级别优化模型

doi:10.3969/j.issn.1009-086x.2018.01.026

现代防御技术 ›› 2018, Vol. 46 ›› Issue (1): 162-170.DOI: 10.3969/j.issn.1009-086x.2018.01.026

组合算法综合决策的装备修理级别优化模型

曾翔, 徐廷学, 董琪, 安进

海军航空大学,山东烟台 264001

收稿日期:2017-03-29 修回日期:2017-06-25 出版日期:2018-02-28 发布日期:2020-11-25
作者简介:曾翔(1988-),男,湖北襄阳人。博士生,主要从事备件配置与库存优化方面研究。通信地址:264001 山东省烟台市芝罘区二马路188号206教研室
基金资助:
国家自然科学基金(51605487)

Repair Optimization Model for Equipment Based on Optimal Decision

ZENG Xiang, XU Ting-xue, DONG Qi, AN Jin

Naval Aeronautical University,Shandong Yantai 264001,China

Received:2017-03-29 Revised:2017-06-25 Online:2018-02-28 Published:2020-11-25

摘要/Abstract

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。

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

Abstract: 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.

Key words: optimization of LOR, decision-making flow chart, multi-objective optimization, maintenance support, combinational algorithm, optimal decision

中图分类号:

E92
F253.4

曾翔, 徐廷学, 董琪, 安进. 组合算法综合决策的装备修理级别优化模型[J]. 现代防御技术, 2018, 46(1): 162-170.

ZENG Xiang, XU Ting-xue, DONG Qi, AN Jin. Repair Optimization Model for Equipment Based on Optimal Decision[J]. Modern Defense Technology, 2018, 46(1): 162-170.

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组合算法综合决策的装备修理级别优化模型

Repair Optimization Model for Equipment Based on Optimal Decision

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