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Optimization of preventive maintenance for a multi-state degraded system by monitoring component performance

Author

Listed:
  • Chao-Hui Huang

    (National Defense University)

  • Chun-Ho Wang

    (National Defense University)

Abstract

This study aims to construct an optimal preventive maintenance model for a multi-state degraded system under the condition that individual components or sub-systems can be monitored in real time. Given the requirement of minimum system availability, the total maintenance cost is minimized by determining the maintenance activities of components in degraded states. The general non-homogeneous continuous-time Markov model (NHCTMM) and its analogous Markov reward model (NHCTMRM) are used to quantify the intensity of state transitions during the degradation process, allowing the determination of various performance indicators. The bound approximation approach is applied to solve the established NHCTMMs and NHCTMRMs, thus obtaining instantaneous system state probabilities to overcome their inherent computational difficulties. Furthermore, this study utilizes a genetic algorithm to optimize the proposed model. A simulation illustrates the feasibility and practicability of the proposed approach.

Suggested Citation

  • Chao-Hui Huang & Chun-Ho Wang, 2016. "Optimization of preventive maintenance for a multi-state degraded system by monitoring component performance," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1151-1170, December.
    • Handle: RePEc:spr:joinma:v:27:y:2016:i:6:d:10.1007_s10845-014-0940-5
    DOI: 10.1007/s10845-014-0940-5
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    References listed on IDEAS

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    1. Soro, Isaac W. & Nourelfath, Mustapha & Aït-Kadi, Daoud, 2010. "Performance evaluation of multi-state degraded systems with minimal repairs and imperfect preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 65-69.
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    3. Nahas, Nabil & Khatab, Abdelhakim & Ait-Kadi, Daoud & Nourelfath, Mustapha, 2008. "Extended great deluge algorithm for the imperfect preventive maintenance optimization of multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 93(11), pages 1658-1672.
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    5. Gregory Levitin, 2005. "The Universal Generating Function in Reliability Analysis and Optimization," Springer Series in Reliability Engineering, Springer, number 978-1-84628-245-4, January.
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    7. Ming Tan, Cher & Raghavan, Nagarajan, 2008. "A framework to practical predictive maintenance modeling for multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 93(8), pages 1138-1150.
    8. Can Huang & Luc Soete, 2008. "Policy forum," Science and Public Policy, Oxford University Press, vol. 35(10), pages 771-781, December.
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    Cited by:

    1. Skutlaberg, Kristina & Huseby, Arne Bang & Natvig, Bent, 2018. "Partial monitoring of multistate systems," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 434-452.

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