Quality assurance (QA) meets artificial intelligence (AI). How can they coexist safely? Integrating AI into QA brings opportunities and risks, especially in safety-critical environments. Balancing rigorous standards and human oversight is crucial.

Manufacturers are increasingly turning to digital color management tools to set their products up for success — achieving greater precision, improving formulations, and streamlining production.

Force measurement devices like load cells, torque transducers and data acquisition devices are used across industries to design and test hardware. 

Industry expert Robin Swain joins the North American management team of Jenoptik.

Those familiar with the animated comedy The Simpsons may recall that Homer has a once long-lost brother named Herb. While making a valiant effort to pull himself from the gutter, Herb invents a device that will translate a baby’s cries into intelligible language that will tell parents exactly what the baby wants or needs. 

While process improvement initiatives, including SPC and its use of control charts, sometimes get the greatest attention in manufacturing environments, the backbone of a quality improvement effort is often the quiet, unnoticed measurement devices that represent an organization’s commitment to consistency and accuracy.

Barry Schaffer seemed to trash talk Six Sigma in a recent blog. In May, he wrote a post on CMS Wire titled “Six Sigma Letting You Down?