Predix Operations Performance Management (Predix OPM) is a complete control-to-cloud optimization solution. Predix OPM optimizes the performance of plants, sites, and enterprises by stabilizing operations and optimizing yield, quality, and efficiency.
Predix OPM supports operational decision making, so industrial organizations can rapidly respond to changing conditions. It provides accurate, clear, and complete situational awareness to help maximize outcomes.
Predix OPM is deployed where needed, on-premises and in the cloud, powered by Predix Platform—enabling industrial-scale analytics and bringing the right data to bear, at the right time, to drive better operating decisions.
Drive operational intelligence with Predix Operations Performance Management
Maximize plant production and margins through an efficient and flexible operating planning process
Utilize real-time financial projections for revenue and profit for plant or fleet
Leverage output projection and price curves to project cost, revenue, and margin to ensure targets are met
Faster time-to-value through an out-of-the box key performance indicator (KPI) catalog of complex performance and financial KPI calculations, including revenue, process efficiency, and process performance
Efficient analysis of loss events (production loss or generation availability), including the impact, root cause, and remediation approach to ensure continuous improvement
Confidence that the operating plan will not exceed business constraints, including emissions and production plan
Lonmin increases smelter throughput by 10% while improving recovery
Lonmin, a platinum group metals (PGM) producer, was looking to maximize efficiency and unlock hidden capacity in its process. GE previously helped the Lonmin concentrating section to solve some tough challenges, so GE was called on again to help with a bottleneck in the smelter area. This would prove to be the start of a new partnership in which GE would help Lonmin with its continuous improvement journey through Predix OPM
Power & Utilities
PSEG improves performance and lowers costs
PSEG is utilizing software and analytics to help generate more competitive power in its market by increasing reliability and improving operations.
E.ON partners with GE to produce more energy and stay competitive
The Operational Intelligence solution helps customers increase operating efficiencies and proactively address deviations in business KPIs.
Throughput and margin KPIs
Accelerate time-to-value for plant managers and process engineers through a KPI catalog giving complex performance and financial KPI calculations including revenue, process efficiency, and process performance. The Spark runtime and streaming analytics allow for near real-time enterprise level visibility into key KPIs for the enterprise.
The loss analysis capability allows for tracking production events as well as the actual production achieved.
With the benchmarking capability easily compare KPIs between multiple sites and the ability to drill-down on contributing factors.
Forecasting & What-if Analysis
The Forecasting & What-if Analysis solution uses scenario analysis and planning to help ensure customers are executing towards the best outcomes for their businesses. This solution utilizes sophisticated digital twin models to drive planning scenarios that reflect plant and site actual performance.
The process troubleshooter capability enables visualization of the process data, calculation of operating regimes, and detailed analysis. Users can analyze detailed process information to derive insight including, contributor to golden batch versus bad batch.
Process & Production Optimization
The Process & Production Optimization solution provides real-time analytics and process controls for site-level process optimization across people, revenue, costs, and emissions to maximize profitability within the fixed constraints of a business.
The process optimization capability enables customers to run the optimization routines on-site and coordinate with the cloud to ensure the models utilized are the most current.