Case Study: ZF Group reduces end-of-line testing by 95% with KNIME

How the ZF Group improved end-of-line testing using KNIME

ZF Group, a global technology company, needed to reduce the high cost, time, and energy use of end-of-line testing for electronic components. Working with KNIME, they looked for a way to optimize 100% physical testing across their production process while maintaining quality and traceability.

KNIME provided a data analytics and machine learning solution that uses in-circuit test data to virtually screen parts and send only likely failures to extreme-temperature stress tests. The result was a 95% reduction in physical testing, 7-digit savings in test equipment investment and expected annual energy savings, plus a scalable browser-based app that lets quality engineers review model decisions and add comments.

ZF Group

Gert Jeckel

Senior Manager Data Analytics