基于灰色关联TOPSIS法的舰船装备维修方案决策  

Decision-making of Ship Equipment Maintenance Plan Based on Gray Correlation TOPSIS Method

作　　者：刘凌刚 耿俊豹[1,2] 魏曙寰[1,2] 徐孙庆 LIU Linggang;GENG Junbao;WEI Shuhuan;XU Sunqing(School of Power Engineering,Military Key Laboratory for Naval Ship Power Engineering,Wuhan 430033,China;College of Power Engineering,Naval University of Engineering,Wuhan 430033,China)

机构地区：[1]海军工程大学舰船动力工程军队重点实验室,武汉430033 [2]海军工程大学动力工程学院,武汉430033

出　　处：《火力与指挥控制》2018年第5期54-57,62,共5页Fire Control & Command Control

基　　金：中国博士后科学基金(2013T60921);国家部委基金资助项目(51319060103)

摘　　要：针对舰船装备维修方案优选问题,提出基于灰色关联TOPSIS法的舰船装备维修方案决策。该决策选取维修间隔时间、维修费用、维修时间和维修风险4个量化指标,利用灰色关联度减少不确定信息和小样本数据影响,并引入TOPSIS法处理多属性问题。通过对各维修方案相对贴近度排序优选,得出最佳维修方案。案例分析可知,该方法有效可行,值得在工程实践中借鉴。In order to optimize the maintenance plan of ship equipment,the decision-making ofthe ship equipment maintenance plan based on the gray correlation TOPSIS method is proposed. Themean time between maintenance,maintenance cost,maintenance time and maintenance risk are selected as the four quantitative indexes,the use of gray correlation degree to reduce the influence ofuncertain information and small sample data,and the introduction of TOPSIS method to deal withmulti -attribute problem. The best maintenance plan is gained by sorting the index to the relative proximity. According to the case analysis,the method is effective and feasible,and worth learning in engineering practice.

关 键 词：维修方案 决策 灰色关联度 TOPSIS法 

分 类 号：TJ83[兵器科学与技术—武器系统与运用工程] TJ07