RESEARCH PAPER
The optimal joint preventive maintenance strategy for the equipment under two-dimensional extended warranty
1
Shijiazhuang Campus of Army Engineering University, China
2
No. 32181 Unit of PLA, Xian 610100, China, China
Submission date: 2025-02-01
Final revision date: 2025-03-09
Acceptance date: 2025-04-06
Online publication date: 2025-04-17
Publication date: 2025-04-17
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(4):203763
HIGHLIGHTS
- Propose a J-PM strategy performed by manufacturers and users within TEW period.
- A product's maintenance cost-availability ratio model within TEW period is established.
- Combine genetic algorithms and pattern-seeking methods to solve the model.
- Sensitivity analysis was conducted on the model in terms of usage rate distribution.
- Derive a product's two-dimensional failure rate function under the J-PM strategy.
KEYWORDS
two-dimensional extended warranty (TEW)joint preventive maintenance (J-PM)cost-availability ratio modelgenetic algorithms and pattern-seeking methods
TOPICS
ABSTRACT
In pursuit of the optimal maintenance cost-availability ratio for large engineering equipment during a two-dimensional extended warranty (TEW) period, this paper puts forward a joint preventive maintenance (J-PM) strategy executed by both users and manufacturers. By deriving the dynamic evolution of the product's two-dimensional failure rate function, a maintenance cost-availability ratio model is established. Subsequently, pattern-seeking methods and genetic algorithms are utilized to solve the cost-availability ratio model, yielding the optimal combination of decision variables. A comparison is made between the proposed J-PM strategy and preventive maintenance (PM) strategy executed solely by users or manufacturers. The results prove that the J-PM strategy can reduce the maintenance cost-availability ratio more effectively and achieve better maintenance outcomes, thereby validating the superiority of the J-PM strategy.
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| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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