In the past two months we have looked at how three-sigma limits work with skewed data.

If you remember the woodworking, metalworking, and auto shop classes that used to be taught in high school, you already have an idea of what a makerspace is.

One of the key ideas in lean manufacturing is that defects should be detected as early as possible.

This story was originally published by Knowable Magazine.

When my kids, ages 11 and 8, bang through the back door after school, often the first thing out of their mouths is: “Mom! Can we play Prodigy?”

How can industrial and manufacturing enterprises achieve better new product introduction (NPI), a critical element of operational excellence?

In 2006 I was at a presentation by a world leader in quality (WLQ) who has been singing W. Edwards Deming’s praises since the late 1980s and even does the famous red bead experiment as part of some of his plenaries.

A few years ago, I was asked to conduct a workshop, deliver a keynote, and chair a three-day conference on manufacturing process excellence in Europe, produced by the Process Excellence Network (PEX

(NVision: Southlake, TX) -- NVision Inc., in cooperation with the Nasher Sculpture Center in Dallas, is making it possible for those with vision-impairment to interactively engage with some of the great works by modern sculptors.

As a quality professional, you’ve probably heard the famous quote from W. Edwards Deming, “In God we trust; all others bring data.” Thanks to technological advancements in our industry, data exist more abundantly than ever.