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Maintenance policies considering degradation and cost processes for a multi-component system

Jiaqi Yin (Kent Business School, University of Kent, Canterbury, UK)
Shaomin Wu (Kent Business School, University of Kent, Canterbury, UK)
Virginia Spiegler (Kent Business School, University of Kent, Canterbury, UK)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 14 March 2023

Issue publication date: 14 November 2024

118

Abstract

Purpose

This paper models the deterioration process of a multi-component system. Each deterioration process is modelled by the Wiener process. The purposes of this paper are to address these issues and consider the cost process based on the multi-component system.

Design/methodology/approach

Condition-based Maintenance is a method for reducing the probability of system failures as well as the operating cost. Nowadays, a system is composed of multiple components. If the deteriorating process of each component can be monitored and then modelled by a stochastic process, the deteriorating process of the system is a stochastic process. The cost of repairing failures of the components in the system forms a stochastic process as well and is known as a cost process.

Findings

When a linear combination of the processes, which can be the deterioration processes and the cost processes, exceeds a pre-specified threshold, a replacement policy will be carried out to preventively maintain the system.

Originality/value

Under this setting, this paper investigates maintenance policies based on the deterioration process and the cost process. Numerical examples are given to illustrate the optimisation process.

Keywords

Citation

Yin, J., Wu, S. and Spiegler, V. (2024), "Maintenance policies considering degradation and cost processes for a multi-component system", International Journal of Quality & Reliability Management, Vol. 41 No. 9, pp. 2249-2268. https://doi.org/10.1108/IJQRM-06-2022-0168

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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