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July 15, 2026

Running Closer to Capacity in Mining

Webinar recap: Why mining operations are rethinking fixed production targets with AI-driven Real-Time Process Optimization.
Open-pit mining operation with haul trucks transporting ore as Real-Time Process Optimization helps keep production aligned with changing operating conditions.

Every mining operation has production standards, including target throughput, target recovery, and acceptable process ranges.

They’re built on engineering expertise, operational experience, and extensive testing. The challenge is that production conditions don’t stay the same.

The result is a hidden performance gap. Operations can continue meeting internal targets while quietly giving away throughput, recovery, and margin because yesterday’s targets no longer reflect today’s operating conditions.

That’s the focus of Braincube’s latest webinar with InSource Solutions Group: why mining operations leave value behind despite running exactly as planned—and how Real-Time Process Optimization helps recover it.

Margin is rarely lost all at once

As ore characteristics, feed variability, and operating conditions change, production targets that once maximized throughput and recovery can gradually become less effective, creating a hidden performance gap.

The challenge is knowing when those targets should change and by how much.

Real-Time Process Optimization continuously recalculates operating targets based on current process conditions, helping operations improve throughput, recovery, energy efficiency, or whichever objective matters most.

Production standards shouldn't become permanent assumptions

Watch the webinar to learn how mining operations are using Real-Time Process Optimization to keep operating targets aligned with changing conditions, recover hidden margin, and run closer to true process potential.

 

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