The W. Edwards Deming Institute Blog

Archive for the ‘understanding variation’ Category

Using Data to Seek Continual Improvement, Not Just Process Monitoring

Dr. Donald Wheeler and Dr. Henry Neave wrote an interesting article in Quality Digest recently: Shewhart and the Probability Approach Shewhart’s use of three-sigma limits, as opposed to any other multiple of sigma, did not stem from any specific mathematical computation. Rather, Shewhart found that the use of three-sigma limits “seems to be an acceptable […]

Standardization Doesn’t Stamp Out Creativity

I understand some of the ideas Dr. Deming expressed challenge people’s beliefs and are difficult to accept. I can accept that. Certain exclamations I have more trouble accepting. One of the things I find annoying, in this way, is that reducing variation and using standardization is said to mean everyone has to be the same […]

Lessons From the Red Bead Experiment with Dr. Deming

The lessons that can be illustrated using the Red Bead experiment are too many to include in this post. But we can touch on a few of the ideas. The value of the Red Bead Experiment is to provide focus to your thinking. It is hard to believe what the full Red Bead Experiment is […]

The Red Bead Experiment with Dr. W. Edwards Deming

The Red Bead Experiment is an activity Dr. Deming included in his 4 day seminars. The webcast shows excerpts of Dr. Deming carry out the Red Bead Experiment with participants from the audience. Dr. Deming used the Red Bead Experiment to clearly and dramatically illustrate several points about poor management practices. This includes the fallacy […]

Knowledge About Variation

Plot data over time In this segment of Ian Bradbury’s talk at the 2013 W. Edwards Deming Institute conference he discusses variation and using the control chart to aid improvement efforts. This last point went outside the control limits so it is a signal of special cause. For that particular point it makes sense to […]

Ron Moen Webcast: Prediction is the Problem

Prediction is the Problem, Ron Moen’s presentation at the 2012 Annual Deming Conference. “Planning requires prediction. Prediction requires a theory.” In the video Ron Moen talks about the Associates for Process Improvement model for improvement. The enhanced PDSA cycle includes an explicit focus on prediction in the planing phase and then evaluation of that prediction […]