| Issue |
E3S Web Conf.
Volume 430, 2023
15th International Conference on Materials Processing and Characterization (ICMPC 2023)
|
|
|---|---|---|
| Article Number | 01226 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/e3sconf/202343001226 | |
| Published online | 06 October 2023 | |
Impact of Maintenance on Machine Reliability: A Review
1 Department of Mechanical Engineering, Covenant University, Ota, P.M.B 1023, Ogun State, Nigeria
2 Department of Mechanical Engineering Science, University of Johannesburg, South Africa
3 Department of Mechanical & Mechatronics Engineering, Afe Babalola, University P.M.B 5454, Ado-Ekiti, Nigeria
4 Department of Mechanical Engineering, Ogun State Institute of Technology, Igbesa, Ogun State. Nigeria.
* Corresponding author: enesi.salawu@covenantuniversity.edu.ng
This review investigates the impact of maintenance methods on machine reliability, focusing on their relationship with overall performance, durability, and availability. It emphasizes the importance of proactive maintenance, such as preventive maintenance, to identify and treat potential issues before they become significant failures. The review also examines the effectiveness of various maintenance procedures in enhancing machine reliability, examining the cost-benefit ratio of maintenance programs and the potential savings gained through improved reliability. The review highlights the role of maintenance methods in limiting risks and enhancing performance, emphasizing the importance of proper maintenance practices in ensuring smooth operations and reducing downtime.
Key words: Maintenance / Reliability / Preventive / Proactive / Predictive / Maintenance / Strategy / Cost-benefit
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.