As mining operations age, they face increasing pressure to enhance efficiency, reduce costs and extend asset lifecycles. Effective maintenance management becomes essential for sustaining operational performance, as equipment failures and unplanned downtime can significantly impact productivity and profitability. This study investigates how aligning maintenance strategies with asset lifecycle stages can improve operational performance in aging mining assets. The research utilised real operational data from a mining operation and applied Weibull analysis to evaluate asset reliability behaviour across lifecycle stages. A quantitative approach was used, analysing downtime records, shift-based performance patterns and asset failure rates. The analysis identified trends in downtime behaviour and variations in failure patterns as assets progressed through different lifecycle phases. The findings demonstrate that maintenance strategies guided by asset lifecycle stages significantly enhance equipment reliability and operational efficiency, particularly for critical assets prone to failure. The study establishes a strong relationship between tactical maintenance decisions and overall operational performance. The results indicate that aligning maintenance strategies with asset lifecycle stages resulted in an estimated 30% reduction in downtime, demonstrating the effectiveness of lifecycle-informed maintenance planning. The study supports the transition from reactive maintenance practices toward proactive, data-driven maintenance strategies that integrate preventive and predictive approaches. When effectively implemented, these strategies can reduce unplanned downtime, extend asset lifespans and improve operational sustainability and cost-effectiveness.

Keywords

Asset Lifecycle Analysis, Weibull analysis, Condition Based Monitoring, Preventive and Predictive Maintenance Strategies, Downtime Analysis