Become Data-Driven in Manufacturing
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Problem
In industrial manufacturing, plant data are generated from multiple sources, like sensors, PLC, management software and paper survey. This represents a wealth of data that can be used to streamline the production process, better plan maintenance intervention, spot anomalies in energy consumption or in the functioning of machinery. However, as data are kept in different silos and in a different format, both engineers and managers have rarely access to all the updated data they need to help them in making decisions. |
Solution
Quick Algorithm team takes care of the set-up of Scops at the production plant. All data coming from different sources like machinery PLC, sensors, spreadsheet generated by management software are now processed automatically. Engineers and managers do not need to waste hours of data-manipulation and charts creation to have the analytics they need. They just access from anywhere Scops and look at the real-time updated analytics they need. In addition, our robo-analyst Victoria sends notifications and alerts about anomalies and new trends that are spotted by Machine Learning algorithms. |
Benefits
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