Leading Mining Company Increases Operational Efficiency
About the Client:
The client is a US-based leading mining company supplying copper, gold, and silver ore for the world market. In the mining domain, the client is one of the largest copper producers in the world.
The client was faced with the following challenges that they wished to overcome:
Reclassification of alarms to ensure prompt and effective priority-based response
Minimizing sudden engine failures to reduce associated unscheduled downtime and loss of productivity
Reduce the cycle time of haul trucks
Alarms were re-classified based on clusters into classes
In sites where the model was piloted, unplanned downtime was reduced by 50%
The analysis identified an optimal time interval for oil replacement
It uncovered variances in operational practices across different sites leading to standardization of the same
USD 10 million savings through run-rate reductions on current expenditure and reduction of CAPEX
Grab this case study to understand how we helped the mining company achieve operational excellence through valuable, real-time insights by leveraging our Internet of Things (IoT) capabilities, and thereby reduced unplanned downtime by 50% and saved USD10 Million.
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