Prevent 20k Tonnes of Ore Deviation

Major Copper Mine in Chile

A case study about improving dispatch procedures and FMS administration to reduced loading and dumping errors

Customer Challenge

FMS Data Accuracy in Material Handling

Mining operations management was compromised due to actual material location and FMS labels in data were not corresponding.

How We Helped

In-app dumps/loads Map Developed

Dump and load events mapped to identify deviations, including location, material type, and tonnage.

The Outcome

Prevented 20,000t of ore from not being processed

The opportunity cost was set to be >USD$1 million of ore (0,2-0,4% Cu).

Corrective actions are taken to recover the ore-grade material (dumped in pit area) and the site has now a new initiative to improve dispatch procedures and FMS administration to reduce dumping errors.

Discover how Stockpile & Inventory Optimization can be applied to your operation

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Mine to Market: Value Chain Optimization

The Stockpile & Inventory Optimization Application is one of a suite of real-time decision-making applications that use Scientific AI to optimize each process; from mine to market.

Our Material Handling model connects these applications to drive even greater efficiency.

Our process optimization apps can be deployed on a specific process bottleneck or expanded across the entire value chain.

They are powered by our Scientific AI Decision Intelligence Platform, brains.app.