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Tag Archives: Design of Experiments
Understanding Design of Experiments (DoE) in Protein Purification
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 … Continue reading
Posted in Design of Experiments
Tagged Data, Design of Experiments, experiments, Health care, robust, Six sigma
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Using Technology to Improve The Sharing of Knowledge
This month the ASQ is asking Influential Voices to discuss methods to aid in sharing knowledge. Manu Vora kicked the discussion off with his post on The Gift of Knowledge Transfer Through Technology. My career has been largely shaped by … Continue reading
Posted in Management
Tagged ASQ Influential Voices, Design of Experiments, internet, IT, learning, technology
3 Comments
George Box Webcast on Statistical Design in Quality Improvement
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. … Continue reading
Posted in Creativity, Data, Innovation, Management, Process improvement, Psychology, Quality tools, Science, Statistics
Tagged control chart, Design of Experiments, Europe, experiments, George Box, interactions, learning, management history, Process improvement, Quality tools, Science, Statistics, webcast
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Stu Hunter Discussing Bill Hunter, Statistics for Experimenters and EVOP
In this clip, Stu Hunter talks about Bill Hunter (my father, and no relation to Stu Hunter), Statistics for Experimenters and EVolutionary OPerations (EVOP). Stu mentions Bill Hunter’s work with the City of Madison, which started with the First Street … Continue reading
Posted in Data, Statistics
Tagged Bill Hunter, Design of Experiments, evop, George Box, Madison, Public Sector, Six sigma, Statistics, Statistics for Experimenters, webcasts
1 Comment
Design of Experiments: The Process of Discovery is Iterative
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 … Continue reading
George Box
I would most likely not exist if it were not for George Box. My father took a course from George while my father was a student at Princeton. George agreed to start the Statistics Department at the University of Wisconsin … Continue reading
Posted in Data, Deming, Design of Experiments, Management, Manufacturing, Process improvement, Quality tools, quote, Respect, Six sigma, Statistics, Systems thinking, UK
Tagged curiouscat, Data, Deming, Design of Experiments, George Box, John Hunter, Madison, management, Process improvement, quote, respect for people, Six sigma, Statistics, UK, William Hunter
15 Comments
Introductory Videos on Using Design of Experiments to Improve Results
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 … Continue reading
Posted in Data, Design of Experiments, Science, Six sigma, Statistics
Tagged Data, Design of Experiments, engineering, experiments, Process improvement, Science, Six sigma, Statistics, variation, webcast
6 Comments
One factor at a time (OFAT) Versus Factorial Designs
Guest post by Bradley Jones Almost a hundred years ago R. A. Fisher‘s boss published an article espousing OFAT (one factor at a time). Fisher responded with an article of his own laying out his justification for factorial design. I … Continue reading
Posted in Data, Design of Experiments, Popular, Quality tools, Science, Six sigma, Statistics
Tagged Design of Experiments, guest post, Popular, Quality tools, Science, Six sigma, Statistics
6 Comments
Factorial Designed Experiment Aim
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 … Continue reading
Combinatorial Testing – The Quadrant of Massive Efficiency Gains
My brother, Justin Hunter, gives a lightning talk on Combinatorial Testing – The Quadrant of Doom and The Quadrant of Massive Efficiency Gains in the video above. The following text is largely directly quoted from the talk – with a … Continue reading