The software assists process and quality engineers by correlating thousands of data points collected in real time from sensors, SCADA systems, historians, PLCs and more. It displays the information on a highly visualized dashboard, providing an accurate picture of the entire manufacturing operation and enabling floor personnel to more accurately and efficiently identify trends and patterns that affect output quality. Manufacturers will be able to leverage the data to better forecast demand, automate manual processes and perform preventive maintenance. The software uses advanced machine learning techniques to simplify predicting future operational performance. By reviewing historical data that has been collected, it learns the best statistical model to provide a reliable forecast of future behavior. Forecasts are automatically generated on easy-to-understand dashboards. Alerts can also be created, giving process and quality engineers early warning to problems. Behavioral alerts can also be generated if real time data does not conform to predictions, adding another layer of alerts to a system or process. The software also recognizes anomalies that could indicate that a machine is likely to break down in the near future, providing the user with an opportunity to perform the needed maintenance in non-emergency conditions without shutting down production, saving valuable production time and resources.
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