Enterprise AI to improve availability, efficiency, quality, and throughput of downstream operations
Our approach
Visualize, analyze, and optimize plant and manufacturing systems
Manage production schedules of plants & facilities
Use AI to generate accurate demand forecasts and optimal schedules for complex downstream operations, minimize production costs and maximize On-Time-In-Full (OTIF) performance
Increase yield, improve quality, and boost efficiency
Use AI-based predictive models to identify product quality and manufacturing yield issues before they occur, enabling rapid triage and mitigation
Reduce unscheduled downtime by predicting assets at highest risk of failure
Use machine learning and codified domain expertise to monitor assets at high risk of failure, form early interventions, prevent disruptive failures, and ensure continued operations
Featured case study
Optimize Production Schedules and Decrease Manufacturing Costs
A large hydrocarbon processing company configured the BHC3™ Production Schedule Optimization application on a large polypropylene plant to optimize production schedules and minimize manufacturing costs.
Our expertise
Enterprise AI applications for optimal production and process manufacturing
AI-Driven Management of Dynamic Manufacturing Environments
An AI-based application for industrial demand planning and manufacturing production scheduling to reduce operational inefficiencies by leveraging historical data.
Improve production yield for Downstream facilities
An AI-driven application that applies advanced analytic techniques on operational and historical data to improve product yield, quality, and efficiency at various steps of a manufacturing process.
Proven results in weeks, not years
