To all of you out there who are fans of our live video programming, note that in lieu of our regularly scheduled episode of Quality Digest Live this Friday, we’re instead bringing you a two-hour special broadcast, our second annual Virtual Test and Measurement

Parts One and Two of this series illustrated four problems with using a model-building ap

The fourth industrial revolution is upon us.

Is innovation critical for your business survival and success? Are you dissatisfied with your ability to bring new products and services to market? Surveys show that most business leaders would answer both questions with a yes.

During the early 1990s, I was president of the Twin Cities Deming Forum. I had a wonderful board whose members were full of great ideas. One member, Doug Augustine, was a 71-year-old retired Lutheran minister and our respected, self-appointed provocateur.

Historically, quality in a process was something that was done at the end of the line. You inspected your widget once it was made, and if it had flaws, you fixed it or threw it out.

I recently sat down with Doug Fair, the chief operating officer of InfinityQS, for a discussion about the uses (and sometimes, the misuses) of industrial statistical analysis. Ours was a lengthy conversation, so we’re splitting the account into two parts.

Science, technology, engineering and math (STEM) career outreach programs play a pivotal role in shaping the capabilities and makeup of the future workforce.

Team leaders often focus on product details. Founders obsess over fonts. Sales managers fixate on tough-to-wrangle customers and shop owners on the minutia of shelf displays.