A cost-informed component maintenance index and its applications

被引:17
作者
Dui, Hongyan [1 ,2 ]
Tian, Tianzi [3 ]
Wu, Shaomin [4 ]
Xie, Min [5 ]
机构
[1] Luoyang Polytech, Coll Business, Luoyang 471000, Peoples R China
[2] Zhengzhou Univ, Sch Management, Zhengzhou 450001, Peoples R China
[3] Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China
[4] Univ Kent, Kent Business Sch, Canterbury CT2 7FS, Kent, England
[5] City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Maintenance; Cost; Reliability; Opportunistic maintenance; Importance measure; PREDICTIVE MAINTENANCE; SYSTEM; RELIABILITY; DECISION; POLICY;
D O I
10.1016/j.ress.2022.108904
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
All systems and components are unreliable in the sense that they will fail. While a failed component in a system is being repaired (i.e., corrective maintenance), preventive maintenance (PM) may be conducted on the other components to improve the reliability of the system. The selection of different components for PM may result in a variety of maintenance policies with different cost implications. It is therefore necessary to develop appropriate tools such as importance measures to guide engineers in selecting components for PM in order to minimize relevant costs. There is little research, nevertheless, that jointly minimizes the total expected cost of maintenance and maximizes the number of components for PM. To fill in this gap, this paper proposes an importance index, Cost-Informed Component Maintenance Index (CICMI). It then derives some propositions of the proposed index and different maintenance policies, respectively. A method to optimize the number of components for PM subject to cost constraints is then proposed. A case study on a reactor coolant system is performed to illustrate the applicability of the proposed methods.
引用
收藏
页数:18
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