Preventive maintenance plan of equipment based on three-stage time delay model

被引：0

作者：

Liu Q.-M. ^{[1
]}

Li Y.-P. ^{[1
]}

Ye C.-M. ^{[1
]}

机构：

[1] Business School, University of Shanghai for Science and Technology, Shanghai

来源：

Kongzhi yu Juece/Control and Decision | 2020年 / 35卷 / 07期

关键词：

Failure rate; Genetic algorithm; Health status; Preventive maintenance; Three-stage time delay; Weibull distribution;

D O I：

10.13195/j.kzyjc.2018.1692

中图分类号：

学科分类号：

摘要：

Aiming at the problem of that many abnormal conditions may occur in the process of equipment deterioration, a maintenance model based on the three-stage time delay theory is proposed. Firstly, because the process from equipment defect to failure does not obey the same distribution, based on the three-stage time delay model, the health status of the equipment can be classified to original defect, serious defect and failure. Different distribution functions are defined at different stages to simulate the deterioration process of the equipment. Then, the relationship between the time of equipment defect and failure and the threshold time point is analyzed, and the maintenance situation is classified. The model with the lowest maintenance cost per unit time is established to find out the best preventive maintenance cycle time and the optimal threshold time. Finally, the genetic algorithm is used to solve the proposed model. The effectiveness of the model is verified by a case. It is helpful for enterprises to carry out preventive maintenance inspection regularly according to the maintenance plan, and to prevent and repair the initial defect state and serious defect state of the equipment according to different conditions. © 2020, Editorial Office of Control and Decision. All right reserved.

引用

页码：1780 / 1786

页数：6

共 15 条

[1]

Barlow R E, Hunter L C., Optimum preventive maintenance policies[J], Operations Research, 8, 1, pp. 90-100, (1960)

[2]

Barlow R E, Hunter L C., Optimum checking procedures[J], Journal of the Society for Industrial & Applied Mathematics, 11, 4, pp. 1078-1095, (1963)

[3]

Jia X S., The decision models for reliability centered maintenance, pp. 1-5, (2007)

[4]

Blischke W R, Murthy N P., Case studies in reliability and maintenance, pp. 623-656, (2003)

[5]

Pei H, Hu C H, Si X S, Et al., Remaining life prediction information-based maintenance decision model for equipment under imperfect maintenance, Acta Automatica Sinica, 44, 4, pp. 719-729, (2018)

[6]

Zuo H F, Zhang H J, Xiang R., Condition based aero-engine maintenance decision method using proportional hazards model, Journal of Aerospace Power, 21, 4, pp. 716-721, (2006)

[7]

Dong K, Lv W Y., Optimal periodic preventive maintenance policy for leased equipment based on history failure data, Operations Research and Management Science, 26, 5, pp. 119-124, (2017)

[8]

Dong K, Lv W Y., Second-hand equipment maintenance strategy optimization based on historical fault data, Journal of Systems & Management, 27, 3, pp. 478-483, (2018)

[9]

Liu Q M, Lv W Y, Ye C M., Study on preventive maintenance strategy for equipment imperfection considering intermediate inventory buffer, Application Research of Computer, 35, 9, pp. 2614-2616, (2018)

[10]

Christer A H, Waller W M., Delay time models of industrial inspection maintenance problems[J], The Journal of the Operational Research Society, 35, 5, pp. 401-406, (1984)

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