The benefits of predictive maintenance in manufacturing excellence: a case study to establish reliable methods for predicting failures
In the course of manufacturing excellence, decision makers are consistently confronted with the task of making choices that will enhance and meet industrial plant’s requirements. To this end, it is essential to maintain machines and equipment in a timely manner, which can prove to be one of the prim...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2023-10, Vol.128 (7-8), p.3685-3690 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Meddaoui, Anwar Hain, Mustapha Hachmoud, Adil |
| description | In the course of manufacturing excellence, decision makers are consistently confronted with the task of making choices that will enhance and meet industrial plant’s requirements. To this end, it is essential to maintain machines and equipment in a timely manner, which can prove to be one of the primary challenges. Predictive maintenance (PdM) strategy can enable real-time maintenance, providing numerous benefits such as reduced downtime, lower costs, and improved production quality. This article tries to demonstrate efficient physical parameters used in PdM field. The paper presents a case study operated in industrial production process to compare between the most used algorithm in predicting equipment failures. Future research can improve prediction accuracy with other artificial intelligence tools. |
| doi_str_mv | 10.1007/s00170-023-12086-6 |
| format | Article |
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| subjects | Advanced manufacturing technologies Algorithms Application Artificial intelligence Brain Breakdowns CAE) and Design Case studies Computer-Aided Engineering (CAD Cost control Cost reduction Data analysis Decision making Deep learning Engineering Failure Industrial and Production Engineering Industrial plants Literature reviews Machine learning Maintenance management Manufacturing Manufacturing excellence Mechanical Engineering Media Management Monitoring systems Neural networks Physical properties Predictive maintenance Preventive maintenance |
| title | The benefits of predictive maintenance in manufacturing excellence: a case study to establish reliable methods for predicting failures |
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