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基于故障状态演化的租赁设备定周期多维护策略研究
引用本文:彭苑茹,刘勤明,吕文元,叶春明. 基于故障状态演化的租赁设备定周期多维护策略研究[J]. 工业工程, 2018, 21(5): 57-63. DOI: 10.3969/j.issn.1007-7375.2018.05.008
作者姓名:彭苑茹  刘勤明  吕文元  叶春明
作者单位:上海理工大学 管理学院 上海 200093
基金项目:国家自然科学基金资助项目(71471116,71271138);教育部人文社会科学研究青年基金项目(15YJCZH096)
摘    要:
为同时保证设备承租方对租赁设备的可用度,以及优化设备出租方的设备维护成本,提出了基于故障状态的定周期检测的多维护方式策略。首先,对租赁设备进行定周期检测,基于设备故障率来选择相应的维护策略,采取役龄回退的方式描述采取不同的维护策略后设备状态的恢复情况。其次,综合考虑周期维护成本、小修成本、惩罚成本和租赁延迟成本,建立了以出租方成本最低为目标的多维护策略优化模型。通过数学建模和数理统计方法,利用MATLAB仿真进行算例分析,将其与定周期单一预防性维护策略进行对比,证明了对租赁设备进行定周期多策略维护,其维护效果较单一预防性维护有较大的提升。

关 键 词:租赁设备  预防性维护  故障状态  多维护  租赁延迟  
收稿时间:2018-03-06

A Research on Periodic Multi-Maintenance Strategy of Leased Equipment Based on Failure State Evolution
PENG Yuanru,LIU Qinming,LYU Wenyuan,YE Chunming. A Research on Periodic Multi-Maintenance Strategy of Leased Equipment Based on Failure State Evolution[J]. Industrial Engineering Journal, 2018, 21(5): 57-63. DOI: 10.3969/j.issn.1007-7375.2018.05.008
Authors:PENG Yuanru  LIU Qinming  LYU Wenyuan  YE Chunming
Affiliation:Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:
In order to ensure the availability of leased equipment, and optimize equipment maintenance costs, a periodic multi-maintenance strategy based on failure state evolution is proposed. In this strategy, the equipment selects the corresponding maintenance mode based on the periodical detection of the equipment status. Service life rollback is used to describe the recovery of equipment status after various maintenance operations. Considering the periodic maintenance cost, minor repair cost, penalty cost and lease delay cost, a multi-maintenance optimization model, which is aimed at the lowest cost of the lessor, is established. Based on mathematical modeling and statistical method, MATLAB simulation is used to analyze the example. Compared with the single preventive maintenance strategy, it is proved that the effect of the leased equipment under multi-maintenance for a fixed period has been greatly improved.
Keywords:leased equipment  lreventive maintenance  failure state  multi-maintenance  delay  
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