Optimal replacement policies with repair numbers for mission-oriented systems
Jiajia Cai and
Xufeng Zhao
Reliability Engineering and System Safety, 2025, vol. 262, issue C
Abstract:
In this study, we take mission durations into account and propose optimal replacement policies with repair numbers for mission-oriented systems. These systems generally undertake missions without opportunities for planned replacements. As the mission duration increases, replacement should be carried out earlier to maintain the system’s reliability. However, if such a system adopts a traditional maintenance policy that neglects mission durations, the optimal number of repairs may be overestimated. This indicates that the planned replacement is not conducted in a timely manner, which leads to a lower reliability of the system. To tackle this issue, we develop replacement policies that are implemented after the Kth repair or at the mission end time, whichever occurs first. To balance cost and maintainability, replacement last policy is also considered. Optimal parameters are determined both analytically and numerically. Finally, the effectiveness of the proposed policies is verified by comparing them with traditional maintenance policies.
Keywords: Replacement; Repair; Mission duration; Maintenance optimization; Mission-oriented systems (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832025003552
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:262:y:2025:i:c:s0951832025003552
DOI: 10.1016/j.ress.2025.111154
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().