International Cement Company Increases Throughput 5.7% and Reduces Power 4% with Advanced Process Control
An international cement company subsidiary deployed Predictive ML for Process Optimization in Industrial Machinery. As reported by rockwellautomation.com: 3.5 KWh/ton power consumption reduction.
Source-reported figures — cited source: rockwellautomation.com
What the international cement company subsidiary was trying to fix
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.
What the international cement company subsidiary deployed
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
Evidence for the international cement company subsidiary's Process Optimization deployment
- Reported outcome metrics
- 2 cited below
- Cited source
- rockwellautomation.com
- Last updated
Limitation: The cited source does not identify the company.
Explore Related
Vendor
Details
- Industry
- Industrial Machinery
- Use Case
- Process Optimization
- AI Technology
- Predictive ML
- Company Size
- Enterprise
- Company
- International Cement Company Subsidiary
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