Manufacturing intelligence simplified
The only solution for multivariate process monitoring
Do you want to be able to spot a process deviation when it happens and to be able to correct it? SIMCA-online is a real-time prediction system that provides you and your production team with a complete set of interactive and visual monitoring tools to ensure that batch and continuous operations run smoothly.
Predict the product quality
SIMCA-online Control Advisor condenses vital information from complex operations into intuitive control charts on a single dashboard, helping your operators to monitor runs and identify deviations early. Forecast mode enables predictive monitoring, and Advised future mode enables process optimization with model predictive control. This real-time visibility and prediction enables your team to take immediate action directly at the point of deviation. SIMCA-online recommends process adjustments that can be implemented either manually or automatically.
Real-time operational reliability
When you have a clear view of critical parameters in your manufacturing processes and early warning of deviations, you can ensure that your complex manufacturing processes perform according to specifications, time after time. With this level of control, you can minimize the risk of batch discards, maximize resource efficiency, minimize operational costs, and save money.
With SIMCA-online, you get:
- Early fault detection
- Product quality improvement and assurance
- Interpretation and analysis
- Process visibility
- End point prediction
- Batch to batch comparison
- Improved process efficiency
- Warning of process deviations
Inspirational videos where you can learn more about SIMCA-online and how you can benefit from the solution.
Batch Process Modelling using MVDA
Using the latest multivariate techniques, participants will learn how to interpret complex data quickly and confidently. Discover the secrets of overviewing data tables and also learn how to build robust predictive models that turn data into decisions.
The course is composed of lectures, demonstrations and computer exercises in software SIMCA, based on real-life datasets.
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