The mathematical model for the stainless steel lines assists the production by applying the optimal process settings for the furnace control, pickling dosing, scalebreaker and shotblaster treatment.
The model performs an accurate and efficient process control that reflects the real-time changes of the product mix.
End user
• Automation engineer
• Control engineer
• Maintenance engineer
• Maintenance manager
• Maintenance technician
• Operator (Control room)
• Operator (Field)
• Plant manager
• Process engineer
• Production manager
Benefits
Digital Capability• Analytic Modeling
• Data Integration
Operating Costs• Maximize energy production
• Maximize reuse of raw materials
• Minimize chemicals usage
• Minimize energy usage
• Minimize fuel usage
• Minimize raw materials
• Minimize total cost of ownership (TCO)
Production• Faster startup or setup/grade changes
• Maximize Maximum Sustainable Rate (MSR)
• Maximize process availability
• Maximize process stability
• Maximize production uptime
• Minimize production disturbances
• Set production closer to constraints
Productivity• Cross-functional collaboration
• Enable mobile worker efficiency
• Maintains technical expertise and knowledge
• Maximize engagement and productivity of personnel
• Maximize field visibility
• Maximize human effectiveness
• Maximize response and better decision-making
• Reliable remote startup
• Standardize enterprise best practices
Quality• Drive consistency in product manufacturing
• Maximize product quality
• Minimize cost with desired quality
• Minimize process variability
• Minimize quality losses
• Minimize start-up losses
Security
Cyber Security Product Expert - CSPE: Jason Wong -
Plant Lifecycle Management
• Commissioning
• Design
• Improve/Modify
• Install
• Learning curve
• Maintain
• Operate
• Shutdown
Group
Advanced Process Control
Industries
• Metals
