Improve availability, efficiency, quality, and throughput of industrial
manufacturing and downstream operations with enterprise AI software
manufacturing and downstream operations with enterprise AI software
BakerHughesC3.ai (BHC3) technology for plant and facility optimization helps engineers and operators optimize manufacturing schedules, improve throughput and yield, and minimize production costs. This set of AI-based solutions aggregates and analyzes operational data from any source to generate real-time, actionable insights.
Plant and facility optimization challenges
Plant and facility managers balance a complex set of variables to ensure product quality while meeting demand for manufactured goods. In the completion of manufacturing processes, plant managers and operations teams must optimize production transition times and calibration of manufacturing settings between batches while ensuring product quality. Production scheduling requires accurate demand forecasting, resourcing for tasks needed to meet On-Time-In-Full (OTIF) performance, ability to change orders without disrupting schedules, and more flexible solutions with team collaboration across the plant and facility.
A new and innovative enterprise AI solution
The BHC3 alliance brings together years of AI experience with expert domain knowledge to offer an AI-enabled asset and system reliability capability for the oil and gas industry BHC3 technology applies AI and machine learning to help plant and facility managers optimize production manufacturing schedules, improve throughput, and enhance plant solutions for any industrial oil and gas plant. Our solutions aggregate data from disparate software systems to produce a unified data image and predictive insights for the reliable prioritization of actions to improve production schedules and increase yield, quality, and efficiency.
BHC3 Benefits
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 efficiency
Use AI-based predictive models to identify product quality and manufacturing yield issues before they occur, enabling rapid triage and mitigation
Reduced unscheduled downtime
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
BHC3’s Enterprise AI Solutions
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.
Optimize Production Schedules and Decrease Manufacturing Costs
Proven results in weeks, not years
