PWOA-ProcessOptimization

Machine learning - Neural networks, decision trees, linear classifiers
Optimization - Finding the best available values of an objective function, given a set of constraints
Workflow - Build and automate sequential process made of data analytics, learning, clustering, and modelling
Graphical Environment - Microsoft look and feel, no scripting or programming
Modelling - Perform descriptive and predictive models based on actual data
Pattern Recognition - Discovering recurrent sequences in alarms and events database
Exploration - Tools to clean, sample, smooth and correlate
Time Series - Behavior analysis
Visualization - Present data in charts or plots
Sensor Validation - Identify faulty sensors and validate values
KPI Dynamic Targeting - Set dynamic targets that consider process behavior
Asset Performance Modelling - Model the performance of an asset as a function of key process inputs
Alarm Analytics - Correlate alarm data and process data for better troubleshooting and root cause analysis
Batch Analytics - Key insights into process variability issues

Differentiators

Simple and intuitive - Drag and drop single interface
Single Solution - Build complex rules, predictive models, fault propagation and workflow
Automated creation of root cause analysis models
Platform independent
Robust data analytic tools not requiring domain expertise
Ability to combine models and business logic to detect unknown conditions in real time
PlantWeb Optics consumes both sensor and process variables
PlantWeb Optics offers third-party software integration out-of-the-box