Abstract
As mining operations age, there is increasing pressure to enhance efficiency, reduce costs, and extend asset lifecycles. This study investigates the relationship between maintenance tactics and asset performance in a mining operation using a case study that applies quantitative reliability techniques. Focusing on downtime patterns, asset failure rates and lifecycle stages, the research applies Weibull analysis and downtime data analysis to evaluate how maintenance frequency and lifecycle phase affect equipment reliability and uptime.
Key findings reveal a strong correlation between maintenance strategies and asset performance. Significant downtime was linked to specific circuits and night shifts, while a high incidence of early-life failures pointed to gaps in commissioning or preventive measures. Failure data analysis further indicated lifecycle-related patterns consistent with the bathtub curve, confirming that aligning maintenance strategies with lifecycle phases can enhance reliability and reduce unplanned downtime.
The research supports the adoption of a lifecycle-based asset management approach, integrating Reliability-Centered Maintenance and Risk-Based Maintenance principles. The findings offer a practical framework for improving maintenance planning and asset performance at Company A, contributing to more sustainable and efficient asset management practices.