eBook: End-of-line testing is good... but predictive quality analytics is better

This eBook walks you through:

End-of-line testing is good but predictive quality analytics is better

End-of-line (EOL) testing is commonplace in automotive manufacturing as an effective method of ensuring quality conformance. However, EOL testing presents some significant limitations including cost, increased cycle time, and a lack of ability to prevent quality issues and defects from occurring in the first place.

This eBook offers an alternative quality control methodology for automotive manufacturers and suppliers to enable predictive and proactive quality improvements in production. By performing advanced analytics on production data in real time, automotive manufacturers can avoid subjecting every unit to end-of- line testing and simultaneously reduce warranty claims, lower costs, improve first time through (FTT) and overall throughput.

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Automate root cause analysis and predict defects in real time

How is that possible?