Mining productivity hinges on several factors: operations performance, labour output, geological conditions, overall equipment effectiveness (OEE), energy efficiency, and so on. To measure these parameters in a way that allows operators to track progress and identify areas of optimisation, companies are embracing digitisation.
The widespread implementations of AI-powered technology, from digital twins and sensor-based analytics to automation and predictive maintenance, allow mining companies to unlock value at every stage of operation. Digitisation is crucial to enhancing visibility and improving data quality so operators know exactly how to optimise productivity.
Key fact: Advanced analytics systems can boost mining productivity by 5-10%
Another way to measure mining productivity is with multifactor productivity (MFP), which assesses economic performance based on the amount of output and how that compares to the amount of capital inputs (equipment, energy, labour, etc.) during production. Technology can be used alongside MFP to provide a clearer view of how productivity can be improved.
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