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How can we help you?
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Marija Mijic
HR & Office Allrounder
T +43 660 383 95 46
office@craftworks.at
craftworks GmbH
Schottenfeldgasse 20/6a
1070 Vienna
Sensor Data for an Efficient
Coverings' Production
A use case for the efficient use of sensor data with a scalable optimization potential.
:quality(80))
Success Story
reading time: 2 min
Manufacturing
Material Industries
Anomaly Detection
Industrial Software
50%
Less errors during production
Faster
Time-to-market
Real-time
Feedback on quality data
Context
Our customer produces surfaces and coverings. As a manufacturer, the enterprise had multiple sensors generating data from machines and other systems, but no means of storing or calling off the data from a centralized channel.
Challenge
The challenge was to set up the necessary data infrastructure as well as to make it scalable in order to potentially expand it. This was crucial, since the “end result” was not clearly defined by the client yet.
Assignment
Our task was to process the data in Azure, pre-process it and store the final result in a database while making it accessible via a dashboard.
Solution
The infrastructure was created in Azure (Data Factory functions, Data Lake Storage Gen2) and Timescale DB was also used.
Our scalable approach minimizes waste, fosters improvement, and enhances product quality using sensor data.
:quality(80))