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

A documented Process Optimization in Industrial Machinery deployment at Anonymous International Cement Company Subsidiary, with source-attributed results and missing evidence labelled explicitly.

Maintained by Peter Korpak, Founder & Chief AnalystHow evidence is checked

Evidence at a glance

Evidence status:
Automated evidence gate passed
Deployment timeframe:
Not reported by source
Reported outcome metrics:
3 cited below
Directory entry published:

The source-link check confirms reachability, not independent re-verification of every claim.

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

Source-reported figures — cited source: rockwellautomation.com

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 on both mills — one by a notable margin and the other by 5.7% — with finish mill production increasing 5% overall. Power consumption was reduced by 3.5 KWh/ton of cement produced, with total mill motor power also meaningfully reduced. 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
Company
Anonymous International Cement Company Subsidiary
Evidence status
Automated evidence gate passed
Deployment timeframe
Not reported by source
Directory entry published

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