LAPSE:2023.1509
Published Article
LAPSE:2023.1509
Optimization of Two-Dimensional Extended Warranty Scheme for Failure Dependence of a Multi-Component System with Improved PSO−BAS Algorithm
Enzhi Dong, Zhonghua Cheng, Rongcai Wang, Jianmin Zhao
February 21, 2023
Abstract
Human society is entering the era of Industry 4.0; engineering systems are becoming more complex, which increases the difficulties of maintenance support work. Failure dependence exists widely in multi-component systems. In this work, a model of two-dimensional (2D) warranty decision making was constructed by using a failure-dependence analysis for multi-component systems and by considering the extended warranty cost and the system availability. The decision was to cut the warranty cost as much as possible for manufacturers, while the constraint condition was the minimum acceptable availability for the customer. The model combined preventive maintenance as well as corrective maintenance strategies. Under the condition that the multi-component system is replaced upon the expiration of the extended warranty (EW), the optimal 2D EW duration and preventive maintenance interval could be obtained through the model. In a case analysis, the optimal EW scheme for the gearbox of an electric multiple unit (EMU) system was obtained by using a grid search algorithm, a PSO algorithm, and a PSO−BAS algorithm. Through comparison, the PSO−BAS algorithm obtained a better scheme with lower warranty costs and higher system availability. A comparative analysis and a sensitivity analysis showed that the model provides a theoretical basis for manufacturers to optimize their 2D extended gearbox warranties.
Keywords
evolutionary algorithms, extended warranty decision, failure dependence, multi-component systems, preventive maintenance, two-dimensional warranty
Suggested Citation
Dong E, Cheng Z, Wang R, Zhao J. Optimization of Two-Dimensional Extended Warranty Scheme for Failure Dependence of a Multi-Component System with Improved PSO−BAS Algorithm. (2023). LAPSE:2023.1509
Author Affiliations
Dong E: Shijiazhuang Campus of Army Engineering University of PLA, 97 Heping West Road, Ning’an Street, Xinhua District, Shijiazhuang 050003, China; Hebei Key Laboratory of Condition Monitoring and Assessment of Mechanical Equipment, Shijiazhuang 050003, China
Cheng Z: Shijiazhuang Campus of Army Engineering University of PLA, 97 Heping West Road, Ning’an Street, Xinhua District, Shijiazhuang 050003, China [ORCID]
Wang R: Shijiazhuang Campus of Army Engineering University of PLA, 97 Heping West Road, Ning’an Street, Xinhua District, Shijiazhuang 050003, China
Zhao J: Shijiazhuang Campus of Army Engineering University of PLA, 97 Heping West Road, Ning’an Street, Xinhua District, Shijiazhuang 050003, China; Hebei Key Laboratory of Condition Monitoring and Assessment of Mechanical Equipment, Shijiazhuang 050003, China
Journal Name
Processes
Volume
10
Issue
8
First Page
1479
Year
2022
Publication Date
2022-07-28
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr10081479, Publication Type: Journal Article
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LAPSE:2023.1509
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https://doi.org/10.3390/pr10081479
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