基于模糊群决策和多目标遗传算法的维修间隔确定方法  

Maintenance interval determination method based on fuzzy group decision and multi-objective genetic algorithm

作　　者：肖斌[1] 刘畅[1,2] 付静 蒋铁军[1] 苏凯 XIAO Bin;LIU Chang;FU Jing;JIANG Tie-jun;SU Kai(Dept. of Management Engineering and Equipment Economics, Naval Univ. of Engineering, Wuhan 430033, China;PAPF Second Mobile Corps, Fuzhou 350200, China)

机构地区：[1]海军工程大学管理工程与装备经济系,武汉430033 [2]武警第二机动总队,福州350200

出　　处：《海军工程大学学报》2021年第6期8-13,18,共7页Journal of Naval University of Engineering

基　　金：国家自然科学基金资助项目(61802425);国家社会科学基金资助项目(16GJ003-105)。

摘　　要：对于舰船装备周转性器材而言,如果维修间隔期过长,安全性和工作能力就会降低;如果经常维修,则会造成大量浪费。因此,设定恰当的修理间隔优化资源十分必要。首先,分析了影响舰船周转性器材维修资源优化的因素,依据维修理论和多目标决策方法,建立了装备器材维修时间资源优化模型;然后,为确保两种预防性维修模式下的满意度最大,采取模糊群决策和多目标遗传算法对满意度求解;最后,结合舰载机襟翼系统故障数据实例进行了仿真,验证了该算法的有效性。For ship equipment turnover materials,prolonged maintenance interval will reduce the safety and working ability,whereas frequent maintenance will cause a lot of waste.Therefore,it is necessary to set appropriate repair intervals to optimize resources.Firstly,the factors of ship turnover equipment maintenance resource optimization were anlayzed,and the equipment materials maintenance time resource optimization model was established based on the maintenance theory and multi-objective decision-making method.And then,fuzzy group decision and multi-objective genetic algorithms were used to ensure maximum satisfaction under the two preventive maintenance modes.Finally,the effectiveness of the algorithm was verified by simulating samples of the failure data from the flap system of a carrier-based aircraft.

关 键 词：模糊群决策 维修间隔 多目标遗传算法 周转性器材 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]