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 Rockwell Software’s model-based software drives profitability for leading cement manufacturers around the globe. Based on the most powerful predictive modeling software in the industry, Rockwell Software’s solutions improve production processes to facilitate quick response to market demands, continuous reduction of costs, consistent achievement of quality targets, and enhanced sustainability. With a commitment to delivering the highest ROI in the industry, Rockwell Software is uniquely positioned to deliver leading-edge technology to the cement industry.
Rockwell Software’s composite application framework for control, optimization and visualization sets the standard for producers to maximize performance across the entire operation. The solutions available allow for the correlation of multiple process units performance information and other various disparate systems (control, LIMS, historians, SPC, ERP, maintenance etc.) with predictive horizon capabilities to drive proactive decision making in real-time, and with greater efficiency.
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| Enhance Profitability |
Reduce Costs |
Environmental Compliance |
- Maximize throughput
- Increase efficiency
- Improve product quality
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- Reduce product variation by 30%
- Minimize off-spec product
- Reduce energy costs by 3-5%
- Reduce fuel costs and increase use of alternative materials
- Reduce maintenance costs
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- Reduce environmental compliance costs
- Achieve regulatory compliance goals every production day
- Minimize reporting data entry burden and total cost by as much as 50%
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The Operations & Manufacturing Intelligence applications help manufacturers improve their financial performance of production operations, increase operational flexibility to meet changing market demands, and identify opportunities for improved decisions more quickly and accurately.
The Real-time Compliance & Sustainability applications help organizations comply with sustainability initiatives by reducing environmental and product compliance risks and associated costs. Additionally, these applications assist in improving energy, raw material or human resources efficiencies and reduce waste.
The Model Predictive Control & Optimization applications help improves product quality, reduces raw material consumption and costs, increases first-pass yields, and economically optimizes the production rate.
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