BHC3™ Process Optimization applies advanced analytic techniques on operational data to improve production yield, quality, and process efficiency by proactively identifying emerging process risks and opportunities.
Reduction in off-spec product
Accuracy in detecting low-yield batches
Increase in energy production
Increase in process throughput
Product yields and quality forecasted through advanced AI techniques to reduce waste and maximize production
AI predictions enable operators to act before a product issue emerges
Unified data from process simulators, operational systems, ERP systems, and asset management systems provide a holistic view of production process
Support for discrete, bath, semi-batch, and continuous production processes
Integration of process simulators and optimization frameworks to evaluate what-if scenarios
Enable operators to focus on high-priority issues and leverage AI-based prescriptive insights to support intervention
Production Optimization for near real-time visibility into product quality
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