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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CITATIONS (1):
1.
Modeling of warranty decisions based on optimal preventive replacement considering the structural correlation of multi-component parallel systems
Xinjian Gao, Liang Wen, Enzhi Dong, Tielu Gao, Kexin Jiang, Bo Zhu, Yu Wang, Zhonghua Cheng
AIP Advances
Xinjian Gao, Liang Wen, Enzhi Dong, Tielu Gao, Kexin Jiang, Bo Zhu, Yu Wang, Zhonghua Cheng
AIP Advances
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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