Mario Lefebvre and Roozbeh Yaghoubi
Article (2024)
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Open Access to the full text of this document Published Version Terms of Use: Creative Commons Attribution Download (838kB) |
Abstract
The state of a machine is modeled as a controlled continuous-time Markov chain. Moreover, the machine is being serviced at random times. The aim is to maximize the time until the machine must be repaired, while taking the maintenance costs into account. The dynamic programming equation satisfied by the value function is derived, enabling optimal decision-making regarding inspection rates, and special problems are solved explicitly. This approach minimizes direct maintenance costs along with potential failure expenses, establishing a robust methodology for determining inspection frequencies in reliability-centered maintenance. The results contribute to the advancement of maintenance strategies and provide explicit solutions for particular cases, offering ideas for application in reliability engineering.
Uncontrolled Keywords
Subjects: | 2950 Applied mathematics > 2950 Applied mathematics |
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Department: | Department of Mathematics and Industrial Engineering |
Funders: | NSERC / CRSNG |
PolyPublie URL: | https://publications.polymtl.ca/59879/ |
Journal Title: | Machines (vol. 12, no. 11) |
Publisher: | MDPI |
DOI: | 10.3390/machines12110795 |
Official URL: | https://doi.org/10.3390/machines12110795 |
Date Deposited: | 19 Nov 2024 11:21 |
Last Modified: | 15 Feb 2025 08:48 |
Cite in APA 7: | Lefebvre, M., & Yaghoubi, R. (2024). Optimal inspection and maintenance policy: integrating a continuous-time Markov Chain into a homing problem. Machines, 12(11), 795 (13 pages). https://doi.org/10.3390/machines12110795 |
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