Decrease Plant Feed Variability by 5-8%

Major Copper Mine in Chile

Improvements in the accuracy of mineralogical and geometallurgical information enabled better plant setup ($1,4M)

Stockpile Optimization App snippet 3

Customer Challenge

High Ore Grade Variability in Plant

High Variability of Material: Managing the diverse quality and characteristics of materials from different stockpiles being fed into the plant.

Short-Term Planning Goals: Ensuring the ability to meet specific short-term planning objectives amidst fluctuating material inputs.

 

How We Helped

3D Block Model of Stockpiles

Use of 3D Block Model of the Stockpile calibrated with topographical scans.

Real-Time Material Tracking with dashboards for monitoring material movement in nearly real-time as changes occur, ensuring up-to-date information on stockpile status.

The Outcome

Decreased Plant Feed Variability by 8%

Gains in plant are expected to be around $1.4M/year.

Return on investment of 3.3 months.

Better planning and reclaim strategy.

Improved plant setup for next incoming shift.

Discover how the Stockpile and Inventory Optimization can be applied to your operation

Mine to Market: Value Chain Optimization

The Stockpile & Inventory Optimization Application is one of a suite of real-time decision-making applications that uses 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 Industrial AI Decision Intelligence Platform, brains.app.

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