Joint optimization of condition-based maintenance policy and buffer capacity for a two-unit series system

Ning Zhang, Faqun Qi, Chengjie Zhang and Hongming Zhou

Reliability Engineering and System Safety, 2022, vol. 219, issue C

Abstract: The purpose of this paper is to address a joint optimization problem of condition-based maintenance policy and buffer capacity for a two-unit series system. The system consists of two machines and an intermediate buffer, both upstream and downstream machines suffer from soft failure, and maintenance actions are taken according to the deterioration state of the system. Different from previous studies that the maintenance strategy and buffer capacity were always be optimized separately, this paper optimizes the maintenance strategy as well as the buffer capacity. All system states and transition probabilities between them are analyzed based on semi-Markov process, and then the expected cost and sojourn time of the system are constructed. By minimizing the average operation and maintenance cost per unit time of the system, joint optimization decision (i.e., optimal maintenance thresholds of upstream and downstream machines and buffer size) were determined. A practical simulation example of production-buffer-assembly system is used to illustrate the superiority of the proposed joint optimization strategy.

Keywords: Maintenance policy; Buffer capacity; Condition-based maintenance; Semi-Markov process (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:219:y:2022:i:c:s0951832021007109

DOI: 10.1016/j.ress.2021.108232

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