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RESEARCH PAPER
Random renewable replacements to manage product reliability through a random renewable repair warranty
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1
School of Quality Management and Standardization, Foshan University, China
 
2
Department of Mathematics and Physics, Shijiazhuang Tiedao University, China
 
3
Gao Tou Yao Coal Mine, North Union Electric Power Limited Liability Company, China
 
4
School of Mechanical Engineering, Northwestern Polytechnical University, China
 
These authors had equal contribution to this work
 
 
Submission date: 2024-05-10
 
 
Final revision date: 2024-06-22
 
 
Acceptance date: 2024-08-08
 
 
Online publication date: 2024-08-30
 
 
Publication date: 2024-08-30
 
 
Corresponding author
Zhiqiang Cai   

School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, China
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2025;27(1):192166
 
HIGHLIGHTS
  • Random renewable repair back and front repair warranties are proposed earlier.
  • Two random renewable replacements are offered to manage the post-warranty reliability.
  • The approaches developed are innovative solutions to overcome the existing limitations.
  • The introduced solutions can advance random maintenance theory.
KEYWORDS
TOPICS
ABSTRACT
Advanced digital technologies facilitate real-time and seamless monitoring of diverse data types throughout the operational lifespan of a product. Consequently, utilizing monitored mission data to devise and model novel approaches for managing the product's reliability over its operational lifespan represents an innovative topic. This paper proposes two random warranties from the fresh perspectives, namely random repair back warranty with renewable coverage (RRBW-RC) and random repair front warranty with renewable coverage (RRFW-RC). Extending the concepts from RRBW-RC, this study presents two random renewable replacements based on the RRBW-RC framework for managing product reliability during the post-warranty coverage: bivariate random renewable back replacement (BRRBR) and univariate random renewable back replacement (URRBR). Finally, the numerical results reveals that as mission cycles statistically elongate, the warranty-service cost increases and the related time lengthens for RRFW-RC, while it shows opposite trends for RRBW-RC; the proposed URRFR is unique and feasible.
ACKNOWLEDGEMENTS
This paper is financially supported by the National Natural Science Foundation of China (Nos., 72161025, 72101010, 72271200, 72231008), and the Distinguished Young Scholar Program of Shaanxi Province [2023-JQ-JC-10]. The authors would like to express our sincere gratitude to the reviewers for their invaluable recommendations aimed at enhancing the scholarly rigor of this manuscript.
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