Model Predictive Control & Optimization
Model predictive control (MPC) technology plays a critical role in a demand-driven manufacturing environment. MPC is a proven technology that reduces process variability and inefficiency, improves product consistency, and allows operations to push constraints to the limits.
- Predictive Quality- SoftSensors
Rockwell Software's Quality Management application provides a comprehensive solution for your manufacturing facility that helps improve your first time through quality and compliance.
- Grinding or Crushing
Using library-based content, this application can be easily configured to meet individual and specific operational objectives. This application predicts and controls multiple process parameters in real-time.
- Grinding or Crushing- Raw Mill
The application is designed for the cement industry and provides control and optimization of the crushing or grinding raw mill processes through patented, industry leading technology.
- Grinding or Crushing- Finish Mill
The application is designed for the cement industry and provides control and optimization of the crushing or grinding cement mill processes through patented, industry-leading technology.
- Pyro or Drying- Cement Kiln
Monitoring and controlling production can significantly reduce process variability, increase overall production rate, and reduce material losses as well as energy costs per ton of final product. Furthermore, real-time visibility of production and energy metrics compared to a baseline promotes a performance-driven culture.
The application provides optimization and control of the process through patented, industry-leading technology.
- Material Blending
The application is designed for the cement industry and provides control and optimization of the blending process through patented, industry-leading technology.
- Material Blending- Raw Mix Application
This Rockwell Software Model Predictive Control (MPC) application for the cement industry Provides real-time control and optimization of the process to improve efficiencies and reduce costs.