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Anonymous International Cement Company Subsidiary

International Cement Company Increases Throughput 5.7% and Reduces Power 4% with Advanced Process Control

5.7%Throughput increase (mill #11)
3.5 KWh/tonPower consumption reduction
38%Reduction in cement quality standard deviation

The Challenge

A subsidiary of an international cement company with revenues over $500 million sought an advanced process control system to maximize efficiency, enhance quality, minimize process upsets, and decrease energy costs on two finish mills at its headquarters facility.

The Solution

Rockwell Automation deployed FactoryTalk Analytics with closed-loop multivariable predictive control on two cement finish mills. The solution combined steady-state optimization with model predictive control and dynamic process modeling, managing setpoints and transitions in real-time.

Results

Throughput increased 4.8% and 5.7% on the two mills respectively, with finish mill production increasing 5% overall. Power consumption was reduced by 3.5 KWh/ton of cement produced and 4% of total mill motor power. Product quality improved with standard deviation in cement reduced from 130 to 80 — a 38% reduction — achieved in just four months.

Key Takeaways

• Model predictive control delivers simultaneous improvements in throughput, energy, and product quality • Phased ROI validation programs reduce financial risk for manufacturers evaluating advanced process control • Dynamic process models outperform static expert system solutions for complex non-linear processes like cement milling

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Details

AI Technology
Predictive ML
Company Size
Enterprise
Quality
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