Using existing and historical data, mining operations and associated plant processes can be modelled by advanced analysis software. Based on Prenscia’s extensive experience, this allows for the review and implementation of more efficient processes and the more reliable prediction of maintenance requirements. Challenge To investigate and reduce high maintenance costs at a mineral mine processing plant. Solution A detailed software model was set up by Prenscia to analyse existing processes, then historical performance data was used to investigate maintenance scenarios. Results Data-driven inspection schedules were created based on predictive maintenance forecasts to reduce the frequency of maintenance and associated costs. Case study Case study: Prenscia | More efficient predictiv

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