Abstract: Aiming at particularity of leased equipment, we present a period preventive maintenance strategy. This policy considers the influence of the equipment's current maintenance period, preventive maintenance, minimal repairs and punishment mechanism on maintenance cost. From the current maintenance cycle of equipment, we construct the distribution of the failure rate function. By utilizing history failure data, and using maximum likelihood estimation analytical method to estimate the failure rate distribution function parameters, we aim to establish a model to minimize the leasing company's expected cost. Finally, numerical examples illustrate that the proposed maintenance strategy is practical and it can provide effective decision support for leasing companies.

Key words: leased equipment, maximum likelihood estimation, preventive maintenance, minimal repair, penalty cost

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。

关键词: 租赁设备, 最大似然估计, 预防维护, 小修, 惩罚成本