BHC3 Yield Optimization
Improving production yield of offshore platforms
BHC3 Yield Optimization
Improving production yield of refineries
BHC3 Yield Optimization
Improving production yield of petrochemical plants
BHC3 Yield Optimization
Improving production yield of LNG manufacturing
Increase Process Efficiency with Machine Learning
BHC3 Yield Optimization is an AI-driven application that applies advanced analytic techniques on operational and historical data to predict production yield and provides root cause analysis at various steps of a manufacturing process.
BHC3 Yield Optimization is operator-centric and action oriented, providing contextualized insights for real-time intervention. The application delivers insights in near real time and supports operator intervention to prevent waste, reduce safety issues, and optimize production yield.
Features
Executive dashboard
Provide an overview of product yield performance and top addressable issues.
Operator-centric view
Focus on high-priority issues and deliver insights to support intervention.
Advanced machine learning
Forecast emergent product yield issues at key process steps.
Unified process modeling
Develop process models for discrete and continuous processes, including product-level data aggregation.
Ad-hoc analysis capabilities
Enable process troubleshooting and root cause analyses across time horizons.
Case Study
AI for Yield Optimization of Plastics Manufacturing
Optimizing yield by predicting product quality in real time
Learn more
Benefits
Identify
Identify key process risk areas by forecasting specific product yield issues based on actual operational parameters.
Create
Create a unified data image by integrating with operational systems like SCADA and DCS, enterprise systems like Asset Management systems, and external sources.
Ensure
Ensure the use of actual process unit configurations in machine learning algorithm development.
Pinpoint
Pinpoint trouble areas with comprehensible machine learning-based product yield risk drivers that focus operators on trouble areas and support intervention.
Receive
Receive real-time insights and use robust prediction algorithms on streaming data to reduce or eliminate wait times for sample testing.
Update
Update process model optimizations and configure new analytics to identify and track new issue.
BHC3 Yield Optimization Data Sources
BHC3 Yield Optimization unifies data in the BHC3 AI Suite from operational systems like DCS, SCADA, PI, and enterprise software systems including SAP, Oracle, and custom-developed solutions to enable time-varying views of actual process conditions and configurations. With a holistic view of the manufacturing process, BHC3 Yield Optimization applies machine learning techniques to predict yield parameters, identify quality problems, and optimize operational settings.
Proven results in weeks, not years
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Understand BHC3 AI Suite's capabilities, its model-driven architecture, and test it against your company's sample data set.
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