Joint optimization of condition-based maintenance and component reallocation for phased-mission balanced systems with flexible structure considering imperfect substitution

Siqi Wang, Shuyun Li and Lipo Mo

Reliability Engineering and System Safety, 2025, vol. 264, issue PB

Abstract: In many practical situations, many balanced systems need to operate in multiple phases. Such systems usually have a different system structure for each phase. The system is balanced when the maximum state difference between all working components is less than a predetermined value. Component degradation is described by a Markov process and the state can be checked periodically. We propose a joint policy of condition-based component reallocation and maintenance for this balanced system. Non-working components can be used to replace working components for operation. Components can be repaired to an arbitrarily better state. The operation process of the balanced system is described as a Markov decision process and the optimal joint policy is obtained by a finite stage backward recursive iterative algorithm. In addition, two contrasting policies are proposed to compare with the proposed policy. Based on flexible manufacturing systems, a numerical study shows that the proposed joint policy is significantly better than the other two policies.

Keywords: Phased-mission balanced system; Flexible structure; Imperfect component reallocation; Condition-based maintenance; Markov decision process (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:264:y:2025:i:pb:s0951832025006003

DOI: 10.1016/j.ress.2025.111399

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