Predix Operations Performance Management
Delivers continuous process optimization either guided or completely automated, assuring product quality, reduced waste and process improvementRequest a Demo
OPM Production and Process Optimization, part of Predix Operations Performance Management (Predix OPM), enables Process Engineers to be more efficient and effective by deploying cloud to edge optimizers for either closed loop, automated edge process setpoint optimization, or open loop guided operations decision support and action recommendations to operations personnel. OPM Production and Process Optimization uses Prescriptive Analytics to enable operations personnel to ensure consistent, optimal operations performance.
Deployed both on-premises and in the cloud enables real-time monitoring and optimization of processing units avoiding network delays
Leveraging the insights provided by process digital twins, variability of process materials and processing units can be proactively optimized increasing yields
Enable Process Engineers to develop and centralize an enterprise operational knowledge base of process optimizations that can be shared across lines and sites.
Using insights from OPM Operational Intelligence and Process Digital Twins, the Production & Process Optimization module provides in-depth analysis and recommendations to Process Engineers and process unit operators to adjust material formulas and process unit settings to adapt to changing material and environmental conditions to ensure product quality to achieve production targets, while reducing waste and cost.
Building upon the capabilities of Guided Decision Support, the Production and Process Optimization module is also able, given the appropriate integrations, to automatically make formula and process unit adjustments in real-time to adapt to changing material and environmental conditions, delivering the highest, consistent quality and yields.
The Production & Process Optimization module operationalizes and scales the capabilities and benefits of machine learning, artificial intelligence and prescriptive analytics across the enterprise value chain providing the foundation for sustained and continuous operational optimization increasing throughput, yields and operational efficiency and profitability.
Reduce waste, improve yields and increase revenue and margins by optimizing the performance and throughput of your lines, plants and enterprise
Increase operational efficiencies by monitoring and identifying anomalies and deviations in process material and process unit KPIs
Use scenario analysis and predictive Process Digital Twin models of operations and production processes to reduce waste and increase yields