Mike Richman’s picture

By: Mike Richman

QDL from Fri., Sept. 15, 2017, demonstrated that everywhere you look, you’ll find the positive effect of better quality. Here’s what we chatted about:

“U.S. Business Sectors Gain or Hold Steady in Public Esteem”

Anthony D. Burns’s picture

By: Anthony D. Burns

I had humble, that is, poor, beginnings. I didn’t even know the taste of real ice cream until later in life. One of the first impacts I felt of the luxury that technology brings was the diode my father bought for me to replace the cat’s whisker on my crystal radio. My high school was lovingly called “shack town.” I spoke as much English as a European refugee, because I had a stammer worse that King George VI.

Dirk Dusharme @ Quality Digest’s picture

By: Dirk Dusharme @ Quality Digest


Our August 11, 2017, episode of QDL looked at the role of technology in after-market service, stairs that help you up, Fidget Cubes, and more.

“Climbing Stairs Just Got Easier With Energy-Recycling Steps”

These stairs actually help you go up.

Mike Richman’s picture

By: Mike Richman

The June 30, 2017, episode of QDL offered a wrinkle in time, of sorts: not only orbiting debris and medieval medicine, but moments in the here and now such as our interview with Keith Bevan of the Coordinate Metrology Society and the UK’s National Physical Laboratory, and an on-the-go version of the Ohno Circle. Here’s a closer look:

Douglas C. Fair’s picture

By: Douglas C. Fair

Plant-floor quality issues tend to focus on a company’s technical resources. When products fall out of spec, alarms sound and all hands are immediately on deck to fix things. Despite large technology investments to monitor and adjust production processes, manufacturers are still bedeviled by quality problems. The issue is not a lack of technology. It is a lack of quality intelligence.

Steve Daum’s picture

By: Steve Daum

I have daily conversations with manufacturer plant managers, quality managers, engineers, supervisors, and plant production workers about challenges when using statistical process control (SPC). Of the mistakes I witness in the application of SPC, I’d like to share the five most prevalent; they can be costly.

Matthew Barsalou’s picture

By: Matthew Barsalou

I

n part one of this two-part series, I described the need for empiricism in root cause analysis (RCA). Now, I’ll explain how to achieve empiricism when performing a RCA by combining the scientific method and graphical explorations of data.

Matthew Barsalou’s picture

By: Matthew Barsalou

There are many reasons for performing a root cause analysis (RCA). These reasons include determining the cause of a failure in a product or a process as well for determining the root cause of the current level of performance when a product or process has been selected for improvement.

Multiple Authors
By: Stefan H. Steiner, R. Jock MacKay

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