Operational Performance Management | Wabtec Corporation

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OPM Operational Intelligence: Increase operational efficiency by monitoring and identifying anomalies and anomalies in process material and process unit KPI.

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Operational intelligence

OPM operational intelligence
Operational Intelligence, one of three OPM applications, helps miners increase operational efficiency by automatically identifying and discovering causes of anomalies and anomalies in business KPIs.

This is made possible by access to real-time time series data, process performance indicators and the latest descriptive and diagnostic analytics. Real-time visibility of operational issues, such as out-of-spec control loop performance, enables process engineers to quickly identify and address issues early, maximizing production and profits.

Main benefits:

  • Visualize process performance
  • Automated insights
  • Cooperation in the field of process engineering

Most important features:

  • Benchmarked operational KPIs
  • Process troubleshooter
  • Case collaboration

Operations Performance Management Forecasting and What-If Analysis

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Predict what if

OPM forecasts and what-if analysis: Use scenario analysis and prescriptive Process Digital Twins of mining operations and production processes to reduce waste and increase revenue.

OPM forecast and what-if analysis

OPM Forecasting & What-if analysis enables process engineers to understand and proactively resolve mining process problems, helping to plan for better business outcomes. Predictive digital twins and process analytics coupled with what-if scenario analysis predict business outcomes to predict process issues before they happen. By quickly addressing process variances, OPM Forecasting & What-if Analysis provides the information and tools to predict and optimize product quality to increase yield.

Main benefits:

  • Operationalize process digital twins
  • Prediction of operational KPI performance
  • Proactive decision-making

Most important features:

  • Process digital twins
  • Forecast KPI performance
  • Scenario analysis

Operations Performance Management Production and process optimization

OPM Production and Process Optimization: Delivers continuous process optimization, guided or fully automated, ensuring product quality, reduced waste and process improvement

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Process optimization

OPM Production and Process Optimization

OPM Production and Process Optimization enables Process Engineers to be more efficient and effective by deploying cloud-to-edge optimizers for closed loop, automated edge process set point optimization or open loop guided operational decision support and action recommendations to operations personnel. OPM Production and Process Optimization uses Prescriptive Analytics to enable operations personnel to ensure consistent, optimal operational performance.

Main benefits:

  • Cloud-to-edge optimization
  • Continuous process optimization
  • Implement best practices in the mining fleet

Most important features:

  • Guided decision support KPI optimizers
  • Closed Loop Automated Edge KPI Optimizers
  • Operationalize and scale analytics

Skill CSENSE

Skill CSense: On Prem industrial analysis software that optimizes asset and process performance

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Skill CSENSE

Congratulations CSense

Proficy CSense leverages AI and machine learning to enable process engineers to combine data from industrial data sources and quickly identify problems, discover root causes, and automate actions to continuously improve the quality, utilization, productivity, and delivery of manufacturing operations. improve.

As a proven analytics software, Proficy CSense has helped mining organizations around the world reduce costs by turning raw data into rapid business value. Engineers and data scientists can analyze, troubleshoot, predict and optimize asset and process performance in real time.

In addition, Proficy CSense provides the ability to extract insights from historical data and quickly develop, test, and deploy simple calculations, predictive analytics, and optimization and control solutions to reduce and optimize variability.

Main benefits:

  • Reduce process variability
  • Solve speed issues
  • Increase technical productivity
  • Reduce downtime
  • Optimize with a process twin
  • Improve data integrity

Most important features:

  • Get new insights from data
  • Quickly develop analytical solutions
  • Speed ​​up implementation through greater efficiency
  • Improve technical productivity

Sources

1/ https://Google.com/

2/ https://www.wabteccorp.com/digital-intelligence/digital-mine/operations-performance-management

The mention sources can contact us to remove/changing this article

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