For managers seeking to boost employee engagement, this is something that can only be earned, not enforced. If the past two years have shown us anything, it’s that genuine employee enthusiasm, motivation, and drive at work come from a passion for the work.

There are three key things cobot developers and employers using cobots must remember when considering implementation: 1) human life takes precedence, 2) human life takes precedence, and 3) human life takes precedence.

For manufacturers, artificial intelligence (AI) can be a game changer. Greater efficiencies, lower costs, improved quality, and reduced downtime are just some of the potential benefits. This technology isn’t just for large manufacturers.

A manufacturer of the fabric used to reinforce car tires might not seem an obvious source of innovation inspiration.

Three years’ worth of new graduates have entered the workforce entirely remote due to the changing atmosphere of the work world, and more companies than ever are fully remote.

If you’re looking for information on medical-device design controls and product development, you can find a practically endless number of articles, videos, and podcasts with a few quick online searches.

The manufacturing industry was thrown into the spotlight early in the pandemic as consumers rushed to stores, panic-buying everything from canned goods to water bottles.

With membership in ASQ down, ISO 9000 series certifications down, and an unnerving reduction in quality management staff in many companies during the pandemic, today’s quality professionals are justifiably concerned about their future and career choice.

It’s hard to fathom that Quality Digest, a little Northern California media company respected by all and beloved by many, turned 40 in November 2021. For a human being, 40 may be the new 30, but it’s still just creeping up on middle age.

No matter which quality management methodology, technique, or fad du jour you chose during the past 40 years, from quality circles to TQM to Six Sigma, all had one thing in common: data. In manufacturing this eventually meant measurement data.