A cost-informed component maintenance index and its applications

Hongyan Dui; Tianzi Tian; Shaomin Wu; Min Xie

doi:10.1016/j.ress.2022.108904

A cost-informed component maintenance index and its applications

Hongyan Dui^*, Tianzi Tian, Shaomin Wu, Min Xie

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

17 Citations (Scopus)

12 Downloads (CityUHK Scholars)

Abstract

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.

Original language	English
Article number	108904
Journal	Reliability Engineering and System Safety
Volume	230
Online published	21 Oct 2022
DOIs	https://doi.org/10.1016/j.ress.2022.108904
Publication status	Published - Feb 2023

Funding

The authors gratefully acknowledge the financial support for this research from the National Natural Science Foundation of China (72071182, U1904211), the ministry of education's humanities and social sciences planning fund (20YJA630012), the Key Science and Technology Program of Henan Province (222102520019), the Program for Science & Technology Innovation Talents in Universities of Henan Province (22HASTIT022), the Program for young backbone teachers in Universities of Henan Province (2021GGJS007), and grant from University Grants Committee of Hong Kong (CityU 11203519).

Research Keywords

Cost
Importance measure
Maintenance
Opportunistic maintenance
Reliability

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COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.

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title = "A cost-informed component maintenance index and its applications",

abstract = "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.",

keywords = "Cost, Importance measure, Maintenance, Opportunistic maintenance, Reliability",

author = "Hongyan Dui and Tianzi Tian and Shaomin Wu and Min Xie",

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doi = "10.1016/j.ress.2022.108904",

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journal = "Reliability Engineering and System Safety",

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T1 - A cost-informed component maintenance index and its applications

AU - Dui, Hongyan

AU - Tian, Tianzi

AU - Wu, Shaomin

AU - Xie, Min

PY - 2023/2

Y1 - 2023/2

N2 - 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.

AB - 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.

KW - Cost

KW - Importance measure

KW - Maintenance

KW - Opportunistic maintenance

KW - Reliability

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U2 - 10.1016/j.ress.2022.108904

DO - 10.1016/j.ress.2022.108904

M3 - RGC 21 - Publication in refereed journal

SN - 0951-8320

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JO - Reliability Engineering and System Safety

JF - Reliability Engineering and System Safety

M1 - 108904

ER -

A cost-informed component maintenance index and its applications

Abstract

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Research Keywords

Publisher's Copyright Statement

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GRF: Importance Analysis and Maintenance Decisions of Complex Systems with Dependent Components

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A cost-informed component maintenance index and its applications

Abstract

Funding

Research Keywords

Publisher's Copyright Statement

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GRF: Importance Analysis and Maintenance Decisions of Complex Systems with Dependent Components

Cite this