From haul trucks to crushing mills, processing plants and conveyors, asset downtime can put workers safety, the environment, profitability, and productivity at risk and lead to costly missed schedules and production targets, plant shutdowns, or increased energy consumption and waste generation.
Mine maintenance departments need a solution that’s more efficient, insightful, and automated than conventional preventative and predictive maintenance practices. AspenTech’s prescriptive maintenance solution uses machine learning agents that monitor equipment in real time, empowering mine management to identify problematic performance trends well in advance of a failure, and prescribes adjustments to operations or maintenance schedules to prevent those failures from occurring in the first place.
As a result, mines experience fewer safety incidents, lower maintenance costs, increased equipment productivity, more sustainable operations, more predictable schedules, and less capital-intensive approaches to warehousing spares.
For example, when the AspenTech prescriptive maintenance solution was applied to a haul truck fleet, it saved the company 10% in annual maintenance costs. Another operation saw repair times reduced by 30% after implementing the solution. AspenTech’s AI-powered technology can be rapidly configured, deployed, and scaled with typical ROIs measured in months.
Transform your mining operations strategy with AspenTech’s prescriptive maintenance solution and put 40 years of innovation, leadership expertise work for you.
