Tag Archives: experiments

Interview of Bill Hunter: Statistical Variability and Interactions

Posted on July 25, 2022 by John Hunter

Interview of Bill Hunter on Statistical Variability and Interactions by Peter Scholtes, 1986: In this interview Bill Hunter describes how results are made up of the impact and interactions of many variables. Many of those variables we don’t know about or account for. What we normally do is try to figure out the most important variables for processes and then experiment with those variables to find the best options given what we are trying to achieve. Often the description of … Continue reading →

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Understanding Design of Experiments (DoE) in Protein Purification

Posted on August 4, 2016 by John Hunter

This webcast, from GE Life Sciences, seeks to provide an understanding Design of Experiments (DoE) using an example of protein purification. It begins with a good overview of the reason why multi-factorial experiments must be used while changing multiple factors at the same time in order to see interactions between factors. These interactions are completely missed by one-factor-at-a-time experiments. While it is a good introduction it might be a bit confusing if you are not familiar with multi-factorial designed experiments. … Continue reading →

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Transform the Management System by Experimenting, Iterating and Adopting Standard Work

Posted on January 19, 2016 by John Hunter

In this short video, Dr. John Toussaint describes how ThedaCare applied leadership standard work to create a successful management transformation. The changes to the management system were tested by applying standard work for all positions in 2 parts of the organization (including all senior management positions) and learning and adapting and then spreading the new methods to the rest of the organization. Changes to the management system require the same testing and piloting of changes on a small scale as … Continue reading →

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George Box Webcast on Statistical Design in Quality Improvement

Posted on June 11, 2014 by John Hunter

George Box lecture on Statistical Design in Quality Improvement at the Second International Tampere Conference in Statistics, University of Tampere, Finland (1987). Early on he shows a graph showing the problems with American cars steady over a 10 years period. Then he overlays the results for Japanese cars which show a steady and significant decline of the same period. Those who didn’t get to see presentations before power point also get a chance to see old school, hand drawn, overhead … Continue reading →

Posted in Creativity, Data, Innovation, Management, Process improvement, Psychology, Quality tools, Science, Statistics | Tagged , , , , , , , , , , , ,

Interview on PDSA, Deming, Strategy and More

Posted on May 8, 2014 by John Hunter

Bill Fox interviewed me and has posted part one of the interview on his web site: Predicting Results in the Planning Stage (sorry, the link has been hijacked to forward to an unrelated page [so obviously I removed the link], I have posted the interview which can now be reached here): Bill: John, what is your best process improvement strategy or tactic that has worked well for you or your clients? John: I would say the PDSA improvement cycle and … Continue reading →

Posted in Deming, Management, Process improvement, Quality tools | Tagged , , , , , , , , , , , | 5 Comments

Taking Risks Based on Evidence

Posted on November 14, 2013 by John Hunter

My opinion has long been that football teams are too scared to take an action that is smart but opens the coach to criticism. So instead of attempting to make it on 4th down (if you don’t understand American football, just skip this post) they punt because that is the decision that is accepted as reasonable. So instead of doing what is wise they do what avoids criticism. Fear drives them to take the less advantageous action. Now I have … Continue reading →

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Resources for Using the PDSA Cycle to Improve Results

Posted on October 28, 2013 by John Hunter

Using the PDSA cycle (plan-do-study-act) well is critical to building a effective management system. This post provides some resources to help use the improvement cycle well. I have several posts on this blog about using the PDSA cycle to improve results including: keys to the effective use of the PDSA cycle Richard Feynman Explains the PDSA Cycle Tom Nolan on the PDSA cycle The authors and consultants with Associates for Process Improvement have the greatest collection of useful writing on … Continue reading →

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Jeff Bezos: Innovation, Experiments and Long Term Thinking

Posted on September 4, 2013 by John Hunter

Jeff Bezos, bought the Washington Post. He has long showed a willingness to take a long term view at Amazon. He is taking that same thinking to the Washington Post: In my experience, the way invention, innovation and change happen is [through] team effort. There’s no lone genius who figures it all out and sends down the magic formula. You study, you debate, you brainstorm and the answers start to emerge. It takes time. Nothing happens quickly in this mode. … Continue reading →

Posted in Creativity, Customer focus, Innovation, Process improvement | Tagged , , , , , , , | 2 Comments

Design of Experiments: The Process of Discovery is Iterative

Posted on July 30, 2013 by John Hunter

This video is another excerpt on the design of experiments videos by George Box, see previous posts: Introduction to Fractional Factorial Designed Experiments and The Art of Discovery. This video looks at learning about experimental design using paper helicopters (the paper linked there may be of interest to you also). [the video is no longer available online] In this example a screening experiment was done first to find those factors that have the largest impact on results. Once the most … Continue reading →

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What is the Explanation Going to be if This Attempt Fails?

Posted on June 25, 2013 by John Hunter

Occasionally during my career I have been surprised by new insights. One of the things I found remarkable was how quickly I thought up a new explanation for what could have caused a problem when the previously expressed explanation was proven wrong. After awhile I stopped finding it remarkable and found it remarkable how long it took me to figure out that this happened. I discovered this as I programmed software applications. You constantly have code fail to run as … Continue reading →

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The Art of Discovery

Posted on April 18, 2013 by John Hunter

Quality and The Art of Discovery by Professor George Box (1990): Quotes by George Box in the video: “I think of statistical methods as the use of science to make sense of numbers” “The scientific method is how we increase the rate at which we find things out.” “I think the quality revolution is nothing more, or less, than the dramatic expansion of the of scientific problem solving using informed observation and directed experimentation to find out more about the … Continue reading →

Posted in Creativity, Data, Innovation, Management, Process improvement, Quality tools, Science, Statistics | Tagged , , , , , , , , , , , , , | 4 Comments

Accept Taking Risks, Don’t Blithely Accept Failure Though

Posted on February 13, 2013 by John Hunter

For discussion by ASQ’s Influential Voices this month, Paul Borawski looks at Risk, Failure & Careers in Quality. There is a bias toward avoiding the possibility of failure by avoiding actions which may lead to failure or even any action at all. This is a problem. The need in so many organizations to avoid failure means wise actions are avoided because there is a risk of failure. Many times the criticism of such cultures however gets a bit sloppy, in … Continue reading →

Posted in Innovation, Management, Systems thinking | Tagged , , , | 4 Comments

Introductory Videos on Using Design of Experiments to Improve Results

Posted on June 18, 2012 by John Hunter

The video shows Stu Hunter discussing design of experiments in 1966. It might be a bit slow going at first but the full set of videos really does give you a quick overview of the many important aspects of design of experiments including factorial designed experiments, fractional factorial design, blocking and response surface design. It really is quite good, if you find the start too slow for you skip down to the second video and watch it. My guess is, … Continue reading →

Posted in Data, Design of Experiments, Science, Six sigma, Statistics | Tagged , , , , , , , , , | 6 Comments

Richard Feynman Explains the PDSA Cycle

Posted on May 17, 2012 by John Hunter

Ok, really Richard Feynman Explains the scientific method. But his thoughts make the similarity between the PDSA cycle and the scientific method obvious. 1) Plan, hypothesis. You make a guess about a theory (in using the PDSA cycle this step is often missed, while in the scientific method this is of the highest priority). You make a prediction based on that theory. 2) Do the experiment 3) Study the results If the results disprove the theory you were wrong. If … Continue reading →

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Keys to the Effective Use of the PDSA Improvement Cycle

Posted on March 6, 2012 by John Hunter

The PDSA improvement cycle was created by Walter Shewhart where Dr. Deming learned about it. An improvement process is now part of many management improvement methods (A3 for lean manufacturing, DMAIC for six sigma and many other modifications). They are fairly similar in many ways. The PDSA cycle (Plan, Do, Study, Act) has a few key pieces that are either absent in most others processes of greatly de-emphasized which is why I prefer it (A3 is my second favorite). The … Continue reading →

Posted in Data, Deming, Management, Popular, Process improvement, Quality tools, quote, Systems thinking | Tagged , , , , , , , , , , | 15 Comments

Factorial Designed Experiment Aim

Posted on April 25, 2011 by John Hunter

Multivariate experiments are a very powerful management tool to learn and improve performance. Experiments in general, and designed factorial experiments in particular, are dramatically underused by managers. A question on LinkedIn asks? When doing a DOE we select factors with levels to induce purposely changes in the response variable. Do we want the response variable to move within the specs of the customers? Or it doesn’t matter since we are learning about the process? The aim needs to consider what … Continue reading →

Posted in Design of Experiments, Management, Manufacturing, Process improvement, Quality tools, quote, Science, Six sigma, Statistics | Tagged , , , , , , , , , | 4 Comments