Application of Statistical Methods in 1940

By deming / March 13, 2017 / 0 Comments

Dave Nave found an interesting forward from a set of 1985 standards on Control Charts. It describes how those standards were created as part of the World War II war effort, with Dr. Deming on the committee. Subsequently the standards were transfer to ASQ/ANSI. From the forward Upon request by the War Department, the American […]

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Stratify Data to Hone in on Special Causes of Problems

By deming / February 6, 2017 / 0 Comments

We have a tendency to focus on special causes even when poor results are due to common causes within the system. To improve results that are due to the system trying to determine the specific problem with any bad result and fix that problem is an inefficient strategy. But there are times when seeking the […]

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Eric Budd Presentation on Data and Operational Definitions

By deming / January 23, 2017 / 0 Comments

Eric Budd’s presentation at the 2016 Annual Deming Institute Conference: An Exercise in Operational Definition. The exercise Eric uses in the presentation shows how much variation can show up in data – just from how the data is collected. And in this example the data even has an operational definition used in collecting the data. […]

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Deadly Disease of Management: Emphasis on Short-term Profits

By deming / January 9, 2017 / 0 Comments

One of Dr. Deming’s 7 deadly diseases is: Emphasis on short-term profits: short-term thinking It is easy to focus on short term goals and use a somewhat simple short term figure to measure success. But just because it is easier to look at the quarterly profit figure than determine progress without such a clear measure, […]

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Applying Understanding of Variation to Large Datasets

By deming / November 10, 2016 / 0 Comments

Understanding Variation by Thomas Nolan, Rocco J. Perla and Lloyd Provost. There have been large changes in the use of data since the publication of Understanding Variation, by Thomas Nolan and Lloyd Provost. The new article discusses how to use an understanding of variation when working with large datasets (for example, government data). From the […]

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Deming Lecture by Dr. Jeff Wu on Quality Improvement from Autos to Nanotechnology

By deming / October 24, 2016 / 0 Comments

Deming Lecture at the 2012 ASA Joint – Quality Improvement: From Autos and Chips to Nano and Bio” by Jeff Wu, Georgia Institute of Technology. One of the points Dr. Wu mentioned is Shewhart called common causes, chance causes, and special causes, assignable causes. I must say I have always thought assignable causes seems like […]

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Understanding Data is Often Challenging

By deming / October 10, 2016 / 0 Comments

Using data to understand the system and validate our theories and successful improvements is an important part managing well. In some cases it is fairly easy to understand and collect data that provides a clear and accurate measure of what we care about. But getting data that helps can also be very challenging. Creating a […]

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W. Edwards Deming Discussing the Leadership We Need in Our Organizations

By deming / September 26, 2016 / 0 Comments

This is a very interesting interview with W. Edwards Deming by Bill Scherkenbach (recording in February 1984, during this time Bill Scherkenbach worked at Ford and Deming was consulting with Ford). In this post I continue to explore this powerful video; it is part two of: Bill Scherkenbach’s Interview with Dr. Deming. Dr. Deming discusses […]

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Using Outdated Management Practices Can Be Very Costly

By deming / September 8, 2016 / 0 Comments

Readers of this blog are aware of the problems created by using quotas: Achieved the goal by not the aim (2013) – The Futility of a Numerical Goal (2014), Distorting the System, Distorting the Data or Improving the System (2013), Dr. Deming on the problems with targets or goals. Wells Fargo to pay $150 million-plus […]

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Deming Regression

By deming / August 22, 2016 / 0 Comments

Most of Dr. Deming’s management work requires no understanding of advanced statistical methods. He was also a statistician and this post takes a look at one of his contributions to the field of statistics: the Deming Regression. In his book, Statistical Adjustment of Data (1943), W. Edwards Deming discussed, among other things, various methods to […]

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