Reliability-Centered Preventive Maintenance Optimization for a Single-Component Mechanical Equipment
Due to the high failure rates of mechanical equipment with complex structures and numerous moving parts, devising an effective preventive maintenance (PM) plan and avoiding the influence brought by failure is crucial. However, some PM efforts are disorganized, unpractical, and unscientific, leading...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Symmetry |
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| Online Access: | https://www.mdpi.com/2073-8994/16/1/16 |
| _version_ | 1797342529825275904 |
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| author | Yaojun Liu Yuhua Tang Ping Wang Xiaolin Song Meilin Wen |
| author_facet | Yaojun Liu Yuhua Tang Ping Wang Xiaolin Song Meilin Wen |
| author_sort | Yaojun Liu |
| collection | DOAJ |
| description | Due to the high failure rates of mechanical equipment with complex structures and numerous moving parts, devising an effective preventive maintenance (PM) plan and avoiding the influence brought by failure is crucial. However, some PM efforts are disorganized, unpractical, and unscientific, leading to prolonged downtime and significant cost losses. The challenge in creating PM plans is exacerbated by the asymmetry between maintenance and failure data. Therefore, focusing on single-unit mechanical equipment, the reliability-centered maintenance (RCM) idea is put forward to find out the key parts to implement preventive maintenance, and PM models are built to draw up a more reasonable PM plan. Such strategies aim to lower maintenance costs and enhance economic performance. Data on past maintenance and failures are analyzed to determine the life distribution and maintenance effect functions, helping to quantify the uncertainty caused by data asymmetry. Two PM optimization models considering time-varying failure rates are proposed: one focuses on minimizing costs, while the other aims to maximize availability. A PM plan example is demonstrated using a component from a tire-building machine including six parts, which proves the validity of the models. The availability results of two parts corresponding to the maintenance strategy obtained by the availability maximization model are above 0.99, and the results of total costs per unit time of the remaining four parts obtained by the cost minimization model are under 5.69. |
| first_indexed | 2024-03-08T10:34:14Z |
| format | Article |
| id | doaj.art-3fe0523b6ad143a28dedae7e71f0bf13 |
| institution | Directory Open Access Journal |
| issn | 2073-8994 |
| language | English |
| last_indexed | 2024-03-08T10:34:14Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Symmetry |
| spelling | doaj.art-3fe0523b6ad143a28dedae7e71f0bf132024-01-26T18:38:31ZengMDPI AGSymmetry2073-89942023-12-011611610.3390/sym16010016Reliability-Centered Preventive Maintenance Optimization for a Single-Component Mechanical EquipmentYaojun Liu0Yuhua Tang1Ping Wang2Xiaolin Song3Meilin Wen4Wuhu State-Owned Factory of Machining, Wuhu 241000, ChinaLunar Exploration and Space Engineering Center (LESEC), Beijing 100097, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210002, ChinaWuhu State-Owned Factory of Machining, Wuhu 241000, ChinaSchool of Reliability and Systems Engineering, Beihang University, Beijing 100191, ChinaDue to the high failure rates of mechanical equipment with complex structures and numerous moving parts, devising an effective preventive maintenance (PM) plan and avoiding the influence brought by failure is crucial. However, some PM efforts are disorganized, unpractical, and unscientific, leading to prolonged downtime and significant cost losses. The challenge in creating PM plans is exacerbated by the asymmetry between maintenance and failure data. Therefore, focusing on single-unit mechanical equipment, the reliability-centered maintenance (RCM) idea is put forward to find out the key parts to implement preventive maintenance, and PM models are built to draw up a more reasonable PM plan. Such strategies aim to lower maintenance costs and enhance economic performance. Data on past maintenance and failures are analyzed to determine the life distribution and maintenance effect functions, helping to quantify the uncertainty caused by data asymmetry. Two PM optimization models considering time-varying failure rates are proposed: one focuses on minimizing costs, while the other aims to maximize availability. A PM plan example is demonstrated using a component from a tire-building machine including six parts, which proves the validity of the models. The availability results of two parts corresponding to the maintenance strategy obtained by the availability maximization model are above 0.99, and the results of total costs per unit time of the remaining four parts obtained by the cost minimization model are under 5.69.https://www.mdpi.com/2073-8994/16/1/16reliability-centered maintenancepreventive maintenance optimization modelmechanical equipmentfailure ratereliability |
| spellingShingle | Yaojun Liu Yuhua Tang Ping Wang Xiaolin Song Meilin Wen Reliability-Centered Preventive Maintenance Optimization for a Single-Component Mechanical Equipment Symmetry reliability-centered maintenance preventive maintenance optimization model mechanical equipment failure rate reliability |
| title | Reliability-Centered Preventive Maintenance Optimization for a Single-Component Mechanical Equipment |
| title_full | Reliability-Centered Preventive Maintenance Optimization for a Single-Component Mechanical Equipment |
| title_fullStr | Reliability-Centered Preventive Maintenance Optimization for a Single-Component Mechanical Equipment |
| title_full_unstemmed | Reliability-Centered Preventive Maintenance Optimization for a Single-Component Mechanical Equipment |
| title_short | Reliability-Centered Preventive Maintenance Optimization for a Single-Component Mechanical Equipment |
| title_sort | reliability centered preventive maintenance optimization for a single component mechanical equipment |
| topic | reliability-centered maintenance preventive maintenance optimization model mechanical equipment failure rate reliability |
| url | https://www.mdpi.com/2073-8994/16/1/16 |
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