The topic of predictive quality analytics is playing an increasingly important role in the planning of many companies. When it comes to the concrete implementation of a solution in the customer environment, not only the technology but also a deep understanding of the processes by all those involved is required.
We present a typical use case as an example white predictive quality analysis in body-in-white production in the automobil sector:
In the past, individual inspection orders were generated on the basis of predefined static inspection plans. In SPC data acquisition, either parts are acknowledged as “OK” or “NOK” in relation to the respective inspection order. In order to obtain an overview of the reported defects, all defect information including images is recorded and displayed. In the specific customer case, more than 10 employees are permanently involved in ultrasonic testing.
In a joint project from 2019, the basis for the implementation of an AI-based process optimization was set up. One of the aims was to support anomaly detection with a defined algorithm and reduce the scope of inspections. The process data is compared with other welding information already in the system for this purpose. This makes it possible to decide in real time whether the welded spot that has been classified as “n.I.O.” is relevant for a manual re-inspection and needs to be re-inspected by an inspector. In this case, the body is directed to a designated inspection station and the inspector can use an overview to check all the anomaly points collected.
The number and effort of manual ultrasonic inspections has been reduced by more than half thanks to the “Predictive Quality Analytics” approach.
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Ludmila Lebedev
Sales Team Germanedge