基于历史故障数据的租赁设备预防维护策略优化

发布时间：2018-04-20 13:23

本文选题：租赁设备 + 最大似然估计　；参考：《运筹与管理》2017年05期

【摘要】：针对租赁设备的特殊性,提出了一种周期预防维护策略模型。该策略综合考虑设备的当前维护周期、预防维护、小修以及惩罚机制等因素对维护成本的影响,从设备的当前维护周期出发,构造出故障率分布的平滑函数,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有效估计,建立以租赁企业维护成本最小化为目标的周期预防维护策略模型。最后是算例分析,研究表明,该策略符合租赁设备维护的实际情况,可为租赁企业提供有效的维护解决方案。
[Abstract]:According to the particularity of leasing equipment, a preventive maintenance strategy model is proposed. The strategy synthetically considers the influence of the current maintenance period, preventive maintenance, minor repair and punishment mechanism on the maintenance cost. Based on the current maintenance period of the equipment, the smooth function of the failure rate distribution is constructed. Based on the historical fault data of the equipment, the failure rate distribution function parameters of the equipment are estimated effectively by using the maximum likelihood estimation analytical method, and the periodic preventive maintenance strategy model is established with the aim of minimizing the maintenance cost of the leasing enterprise. Finally, an example is given. The research shows that the strategy is in line with the actual situation of rental equipment maintenance, and can provide an effective maintenance solution for the leasing enterprise.
【作者单位】：上海理工大学管理学院;安徽广播电视大学公共基础部;
【基金】：国家自然科学基金项目(71471116) 上海市浦江人才计划项目(14PJC077) 安徽省教育厅自然科学重点项目(KJ2017A941)
【分类号】：O212.1

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