TY - GEN
T1 - EVALUATING THE MAINTENANCE PRACTICES ON MINING EQUIPMENT
T2 - ASME 2024 International Mechanical Engineering Congress and Exposition, IMECE 2024
AU - Mokoena, Kamogelo
AU - Kruger, Sunita
AU - Pretorius, Leon
N1 - Publisher Copyright:
Copyright © 2024 by ASME.
PY - 2024
Y1 - 2024
N2 - This research study assesses the maintenance practices on mining machinery as a case study in a surface platinum mine. The current literature commonly tends to highlight the significance of maintenance in respect to mining, yet it rarely provides specific analysis of various maintenance strategies and their effect on equipment performance in some specialized settings such as surface platinum mines. This research utilizes a robust, data-driven approach and reliability analysis to evaluate impact of maintenance strategies on some key performance indicators for maximizing platinum production. The research investigates historical maintenance records and key equipment performance metrics to identify connections between monitored maintenance practices such as planned and unplanned maintenance activities and important equipment performance indicators such as availability, mean time between failure and mean time to repair. The research outlined in this paper aims at providing a sound and evidence-based solution to evaluate maintenance regimes that are created for a surface platinum mine. By determining the most suitable maintenance strategy among the ones that are revealed through data analysis, the study aims at providing the decision-makers the recommendations on the equipment performance and effectiveness of maintenance practices.
AB - This research study assesses the maintenance practices on mining machinery as a case study in a surface platinum mine. The current literature commonly tends to highlight the significance of maintenance in respect to mining, yet it rarely provides specific analysis of various maintenance strategies and their effect on equipment performance in some specialized settings such as surface platinum mines. This research utilizes a robust, data-driven approach and reliability analysis to evaluate impact of maintenance strategies on some key performance indicators for maximizing platinum production. The research investigates historical maintenance records and key equipment performance metrics to identify connections between monitored maintenance practices such as planned and unplanned maintenance activities and important equipment performance indicators such as availability, mean time between failure and mean time to repair. The research outlined in this paper aims at providing a sound and evidence-based solution to evaluate maintenance regimes that are created for a surface platinum mine. By determining the most suitable maintenance strategy among the ones that are revealed through data analysis, the study aims at providing the decision-makers the recommendations on the equipment performance and effectiveness of maintenance practices.
KW - Availability
KW - Condition Based Maintenance (CBM)
KW - Key Performance Indicator (KPI)
KW - Mean Time Between Failure (MTBF)
KW - Mean Time To Repairs (MTTR)
KW - Reliability
UR - http://www.scopus.com/inward/record.url?scp=85216617772&partnerID=8YFLogxK
U2 - 10.1115/IMECE2024-145388
DO - 10.1115/IMECE2024-145388
M3 - Conference contribution
AN - SCOPUS:85216617772
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Safety Engineering, Risk and Reliability Analysis; Research Posters
PB - American Society of Mechanical Engineers (ASME)
Y2 - 17 November 2024 through 21 November 2024
ER -