Applying Machine Learning to Manufacturing

How to drive digital quality control with big data and advanced analytics.

If manufacturers want to sustain and grow their customer base in a competitive environment, their products need to fulfill increasingly high quality and reliability standards.

Automakers, for example, now have a target defect rate for the integrated systems of less than 1 percent. That’s putting pressure on the original equipment makers (OEMs) and their suppliers who have to meet these targets – at the same time as products and manufacturing processes are becoming increasingly complex, featuring numerous activities that impact quality, performance, and yield. To prevent failures of components, systems, and ultimately products, manufacturers need reliable methods to find defects.

Machine Learning Boosts Quality Control

Digital quality control tools can make manufacturing more efficient

Applying Machine Learning to Manufacturing