摘要
针对二手设备租赁维护的实际情况,提出一种周期预防维护策略模型。该策略综合考虑设备的年龄、预防维护和小修等因素对维护费用的影响,以设备的历史故障数据信息为依据,使用最大似然估计解析方法对设备的故障率分布函数参数进行估计,建立以出租方维护成本最小化为目标的周期预防维护策略模型。最后,给出算例分析。研究表明,该策略符合租赁设备维护的实际情况,可为出租方提供有效的个性化维护解决方案。
In this paper,aperiodic preventive maintenance strategy was proposed for the leasing of second-hand equipment based on the actual maintenance situation.Considering various factors influencing the expenses of maintenance,such as age,preventive maintenance,and minimal repair of equipment,and based on historical failure data of equipment,this paper effectively estimated the parameters of failure distribution function of equipment by using maximum likelihood estimation and developed a model of periodic preventive maintenance policy which minimized the maintenance expenses of the lessors.Numerical examples illustrate that the proposed maintenance strategy is practical which can provide effective and individual decision support for lessors.
作者
董克
吕文元
DONG Ke;LU Wenyuan(Department of Foundation, Anhui Radio and TV University, Hefei 230022;Business School, University of Shanghai for Science and Technology, Shanghai 200 China , 093, China)
出处
《系统管理学报》
CSSCI
CSCD
北大核心
2018年第3期478-483,共6页
Journal of Systems & Management
基金
安徽省高校自然科学重点项目(KJ2017A941)
安徽省高校优秀青年人才计划资助项目(gxyq2017165)
关键词
设备租赁
最大似然估计
预防维护
小修
equipment leasing
maximum likelihood estimation
preventive maintenance
minimal repair
