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Machine Learning

This is Where Your Steel Mill Is Bleeding >$1.5M Annually

Steel mills are losing millions annually through inefficient alloy optimization systems that over-alloy by 15-20%. Although most plants have existing alloy optimization initiatives, traditional statistical methods and internal machine learning projects fail due to data complexity, model degradation, and lack of transparency. Advanced white-box ML systems with real-time adaptation have proven to reduce alloy costs by $3+ per ton while improving quality consistency by 15% and reducing environmental impact. Successful implementation requires gradual deployment, operator training, and change management strategies documented in an award-winning technical research paper by Gerdau and their partner Fero Labs, showing sustained results across thousands of production heats. Key Benefits: $3/ton alloy cost reduction • 15% quality improvement • 66% process capability enhancement • 500K+ lbs material waste elimination • Real-time mechanical property prediction • Automated model maintenance • White-box transparency for operator trust

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Cost Reduction

Minimize Costs, Maximize Production Volume With Live Optimization

Explore how Fero Labs' live machine learning optimizes manufacturing, minimizing costs and maximizing production. Learn about Live Predictions and Live Optimization features that reduce testing, optimize materials, and boost throughput. Discover real-world examples of cost savings and efficiency gains across steel, chemicals, and consumer goods industries.

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Steel

How Gerdau Saved $3/Ton of Steel With White-Box Machine Learning

Discover how Gerdau saved $3 per ton of steel using Fero Labs' white-box machine learning. Learn how this innovative approach optimized alloy usage, reduced quality variation by 15%, and conserved over 500,000 pounds of raw materials. Explore the benefits of explainable AI in steel manufacturing, including real-time optimization, improved sustainability, and streamlined production processes. Ideal for steel industry professionals seeking to leverage AI for cost savings and efficiency gains.

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Sustainability

How Your Factory Can Use Less Energy

Last year, everyone was talking about optimizing processes. Today, it’s energy optimization.

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