运筹与管理 ›› 2017, Vol. 26 ›› Issue (5): 119-124.DOI: 10.12005/orms.2017.0117

• 理论分析与方法探讨 • 上一篇    下一篇

基于历史故障数据的租赁设备预防维护策略优化

董克1,2, 吕文元1   

  1. 1.上海理工大学 管理学院,上海 200093;
    2.安徽广播电视大学 公共基础部,安徽 合肥 230022
  • 收稿日期:2015-07-09 出版日期:2017-05-25
  • 作者简介:董克(1982-),男,安徽蚌埠人,讲师,博士研究生,研究方向:设备维修管理;吕文元(1971-),男,浙江永康人,教授,博士,博士生导师,研究方向:设备维修管理、企业战略管理。
  • 基金资助:
    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)

Optimal Periodic Preventive Maintenance Policy for Leased Equipment Based on History Failure Data

DONG Ke1,2, LV Wen-yuan1   

  1. 1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2. Department of Foundation, Anhui Radio & TV University, Hefei 230022, China
  • Received:2015-07-09 Online:2017-05-25

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

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

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