Anthony D. Burns
The control chart is at the heart of the very definition of quality. It is central to building, maintaining, and predicting quality into the future. However, control charts today, more often than not...
David Currie
This is part three of a three-part series. Read about good metrics in part one and bad metrics in part two.
Have you ever had occasion to dread a metric reviewed month after month, where the metric...
Quality Digest
Annalise Suzuki, director of technology and engagement at software provider Elysium Inc., spoke to Quality Digest about the importance of model-based definitions (MBD) for data quality, validation,...
Anthony Chirico
Everybody wants to design and conduct a great experiment! To find enlightenment by the discovery of the big red X and perhaps a few smaller pink x’s along the way. Thoughtful selection of the best...
Jody Muelaner
In this article I will show that the conventional method for calculating uncertainty is not always reliable. In fact, it is generally only exact when the measurement can be represented by a simple...
Scott A. Hindle
Walter Shewhart, father of statistical process control and creator of the control chart, put a premium on the time order sequence of data. Since many statistics and graphs are unaffected by this, you...
Minitab LLC
Machine learning as a tool in your analytical toolkit can help accelerate the discovery of insights in data that can create a more efficient manufacturing process and drive innovation.
Machine...
Donald J. Wheeler
Process behavior charts are the interface between your data and your brain. But you have to begin by making a choice about which type of chart to use. You can either plot the individual values...
Minitab LLC
Process validation is vital to the success of companies that manufacture pharmaceutical drugs, vaccines, test kits, and a variety of other biological products for people and animals. According to FDA...
David Currie
This is the second article in a three-part series to help readers distinguish good metrics from bad. In part one we discussed good metrics. Here, we will look at a bad metric and...
Donald J. Wheeler
In Part One and Part Two of this series we discovered some caveats of data snooping. In Part Three we discovered how listening to the voice of the process differs from the model-based approach...
Anthony Chirico
Perhaps the reader recognizes d2 as slang for “designated driver,” but quality professionals will recognize it as a control chart constant used to estimate short-term variation of a process. The...
Minitab LLC
Choosing the correct linear regression model can be difficult. Trying to model it with only a sample doesn’t make it any easier. Let’s review some common statistical methods for selecting models,...
Dirk Dusharme @ Quality Digest
In this episode we look at a history of quality, how you serve your customer in the housing industry, and what makes a good review.
“Young couples ‘trapped in car dependency’”
Building entry-level...
David Currie
Metrics are an important part of an effective quality management system (QMS). They are necessary to understand, validate, and course-correct the QMS. They should be used to verify that it is...
Dirk Dusharme @ Quality Digest
In this episode we look at data, data, more data, and then... engineering the perfect human?
“Your Data Are Your Most Valuable Assets”
Just what the heck is Quality 4.0? Remember this acronym: CIA...
Anthony Chirico
In my first article, the merits and cautions of AS9138 c=0 sampling plans were discussed and a simple formula was provided to determine the required sample size to detect nonconforming units. In the...
Anthony Chirico
In my previous article, I discussed the merits and cautions of the “acceptance number” equal zero (c=0) sampling plans contained within AS9138. A simple formula was provided to determine appropriate...
Anthony Chirico
Aerospace standard AS9138—“Quality management systems statistical product acceptance requirements” was issued this year (2018), a few years after its accompanying guidance materials in section 3.7 of...
Dirk Dusharme @ Quality Digest
In this all-manufacturing episode, we look at the STEM pipeline into manufacturing, supplier development, how to make sense of manufacturing data and, no, manufacturing is not dead.
“Strengthening...
