Manufacturers looking at replacing paper-based quality processes are being presented with a much broader and more effective set of technologies than ever before.
The hard card, or traveler or build book, has many names. And while computerizing quality management is no longer news, that stack of papers always seems to be hanging around.
Integration of the latest artificial intelligence (AI) technologies enable even deeper insights. Users achieve more reliable interpretation of complex information in less time while boosting productivity and reproducibility.
In the quality management domain, AI undoubtedly has potential in different areas. It would be easy to think that AI could be a threat to less modern tools like statistical process control or render SPC obsolete.
Regression analysis helps quality teams improve their process standards. In simple terms, it helps these teams understand how variations in the manufacturing process affect the quality of the final product.
Industry leaders are now seeking ways to simplify processes, cut costs, and get more done with fewer people. Fortunately, the tools and technologies required to accomplish these goals are already here.
Manufacturing companies employ sophisticated 3D measurement hardware, each utilizing their own software solutions. A universal software platform mitigates challenges, optimizing metrology team performance, simplifying workflows, and enhancing operational efficiency.