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Multi-objective optimal maintenance strategy considering imperfect preventive maintenance: A case study on railway VOBC

Author

Listed:
  • Cong Peng
  • Wei Shangguan
  • Baigen Cai
  • Bin Chen

Abstract

Preventive maintenance procedures for systems are designed to improve long-term operating performance and reduce maintenance costs. This paper attempts to seek a trade-off between system reliability and maintenance costs and explores the optimal multi-objective maintenance strategy applicable to different field situations. We first provide an overview of the problem and analyze the impacts of varying different maintenance activities on reliability. Then, a mathematical model of reliability losses and maintenance costs is defined and derived, which will be used to construct a multi-objective maintenance strategy. In this research, the PSO-SA stochastic optimization algorithm is proposed to discover the Pareto frontier to find the optimal preventive maintenance threshold and inspection interval that minimizes reliability loss and maintenance costs. Finally, a case study is performed with railway VOBC as an illustration. The analysis results illustrate that the proposed multi-objective maintenance strategy can satisfy the preferences of various decision-makers. It is suitable for different maintenance needs and can support the development of on-site maintenance strategies.

Suggested Citation

  • Cong Peng & Wei Shangguan & Baigen Cai & Bin Chen, 2024. "Multi-objective optimal maintenance strategy considering imperfect preventive maintenance: A case study on railway VOBC," Journal of Risk and Reliability, , vol. 238(4), pages 740-753, August.
    • Handle: RePEc:sae:risrel:v:238:y:2024:i:4:p:740-753
    DOI: 10.1177/1748006X231175708
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