In a recent article for Quality called, How Generative AI Could Revolutionize Manufacturing Quality Functions, Graney said, “AI - ranging from generative, predictive, and “simple” machine learning - is poised to address the manufacturing challenges by automating data analysis, integrating multiple data sources, and providing real-time insights.
An Industry 4.0 mindset and a “lights-out” style of operation is driving quality and manufacturing teams to integrate measurements and process controls more tightly. The hope is that localized, closed loops will provide great benefits, including lower manufacturing costs, lower labor costs, and improved product quality.
As developments in machine learning and the Internet of Things (IoT) impact how manufacturers run their businesses, automation can support these changes and boost productivity.
CAD simulation has become a standard at OEMs and large manufacturers. Conducting tolerance analysis, finite element analysis and other forms of simulation optimize designs and improve manufacturability.
There are major technology disruptions afoot in the world of conventional portable metrology. For the better part a decade, 6DoF laser tracking has been the standard go-to technology for metrologists in the large-scale manufacturing sectors.