Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines
Preventive maintenance practices have been proven to reduce maintenance costs in many industries. In the mining industry, preventive maintenance is the main form of maintenance, especially for mobile equipment. With the increase of sensor data and the installation of wireless infrastructure within u...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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MDPI AG
2023-01-01
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Series: | Mining |
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Online Access: | https://www.mdpi.com/2673-6489/3/1/2 |
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author | Simon Robatto Simard Michel Gamache Philippe Doyon-Poulin |
author_facet | Simon Robatto Simard Michel Gamache Philippe Doyon-Poulin |
author_sort | Simon Robatto Simard |
collection | DOAJ |
description | Preventive maintenance practices have been proven to reduce maintenance costs in many industries. In the mining industry, preventive maintenance is the main form of maintenance, especially for mobile equipment. With the increase of sensor data and the installation of wireless infrastructure within underground mines, predictive maintenance practices are beginning to be applied to the mining equipment maintenance process. However, for the transition from preventive to predictive maintenance to succeed, researchers must first understand the maintenance process implemented in mines. In this paper, we conducted interviews with 15 maintenance experts from 7 mining sites (6 gold, 1 diamond) across East-Canada to investigate the maintenance planning process currently implemented in Canadian mines. We documented experts’ feedback on the process, their expectations regarding the introduction of predictive maintenance in mining, and the usability of existing computerized maintenance management software (CMMS). From our results, we compiled a summary of actual maintenance practices and showed how they differ from theoretical practices. Finally, we list the Key Performance Indicators (KPIs) relevant for maintenance planning and user requirements to improve the usability of CMMS. |
first_indexed | 2024-03-11T06:08:52Z |
format | Article |
id | doaj.art-fc5f1abe3ca9483690519aa116a41daa |
institution | Directory Open Access Journal |
issn | 2673-6489 |
language | English |
last_indexed | 2024-03-11T06:08:52Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Mining |
spelling | doaj.art-fc5f1abe3ca9483690519aa116a41daa2023-11-17T12:48:49ZengMDPI AGMining2673-64892023-01-0131265310.3390/mining3010002Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian MinesSimon Robatto Simard0Michel Gamache1Philippe Doyon-Poulin2Department of Mathematical and Industrial Engineering, Polytechnique Montreéal, Montreéal QC H3T 1J4, CanadaDepartment of Mathematical and Industrial Engineering, Polytechnique Montreéal, Montreéal QC H3T 1J4, CanadaDepartment of Mathematical and Industrial Engineering, Polytechnique Montreéal, Montreéal QC H3T 1J4, CanadaPreventive maintenance practices have been proven to reduce maintenance costs in many industries. In the mining industry, preventive maintenance is the main form of maintenance, especially for mobile equipment. With the increase of sensor data and the installation of wireless infrastructure within underground mines, predictive maintenance practices are beginning to be applied to the mining equipment maintenance process. However, for the transition from preventive to predictive maintenance to succeed, researchers must first understand the maintenance process implemented in mines. In this paper, we conducted interviews with 15 maintenance experts from 7 mining sites (6 gold, 1 diamond) across East-Canada to investigate the maintenance planning process currently implemented in Canadian mines. We documented experts’ feedback on the process, their expectations regarding the introduction of predictive maintenance in mining, and the usability of existing computerized maintenance management software (CMMS). From our results, we compiled a summary of actual maintenance practices and showed how they differ from theoretical practices. Finally, we list the Key Performance Indicators (KPIs) relevant for maintenance planning and user requirements to improve the usability of CMMS.https://www.mdpi.com/2673-6489/3/1/2maintenancepreventive maintenancepredictive maintenanceCMMSunderground miningusability |
spellingShingle | Simon Robatto Simard Michel Gamache Philippe Doyon-Poulin Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines Mining maintenance preventive maintenance predictive maintenance CMMS underground mining usability |
title | Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines |
title_full | Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines |
title_fullStr | Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines |
title_full_unstemmed | Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines |
title_short | Current Practices for Preventive Maintenance and Expectations for Predictive Maintenance in East-Canadian Mines |
title_sort | current practices for preventive maintenance and expectations for predictive maintenance in east canadian mines |
topic | maintenance preventive maintenance predictive maintenance CMMS underground mining usability |
url | https://www.mdpi.com/2673-6489/3/1/2 |
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