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Archive for the ‘Design of Experiments’ Category

Webinar on Design of Experiments Analysis

Icon Written by Rick Haynes on August 15, 2011 – 8:20 am

I am providing a paid webinar Wednesday 8/17/2011.  Here is its summary. This webinar will focus on the analysis of fractional factorial Design  Experiments (DOE). We will follow a method published in Forrest Breyfogle’s book, “Integrated Enterprise Excellence Volume III – Improvement Project Execution.” This method involves a methodical analysis of a DOE that provides [...]

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d-optimal Design of Experiments

Icon Written by Rick Haynes on August 6, 2011 – 6:39 pm

Have you ever heard of this method? I have hear people talk about using this method for years, but have never used it myself.  I called my two most experienced DOE mentors and one had seen someone else use it the other had never seen it. What is d-optimal design?  In short it is a [...]

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Design for Six Sigma: Do you need it?

Icon Written by Rick Haynes on May 31, 2011 – 5:00 pm

We had a potential client call about getting Design for Six Sigma (DFSS) training for their Black and Master Black Belts.  This client said the right thing, that they were looking to “sharpen the saw” for their belts.  Think about it, most of us went to training and then nothing more.  We run a few [...]

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Webinar on Design of Experiments with cookies

Icon Written by Rick Haynes on May 24, 2011 – 7:55 pm

I heard today that I am going to provide a webinar covering my DOE making chocolate cookies.    It is coming on June 8th.  This is the link to register. I posted about making the cookies about a week ago so you may remember, but I wanted to come up with a practical example of running [...]

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Using a catapult in lean six sigma training (optimization)

Icon Written by Rick Haynes on January 18, 2011 – 9:45 pm

Nearly every good course in Lean Six Sigma uses a catapult in their training.  A catapult provides a tool/process that the students understand that will provide data for analysis.  The data has random variation and non-random variation.  It can be used for statistical process control (SPC), hypothesis testing (t and f tests), ANOVA, Regression, design [...]

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EVOP as an optimization technique

Icon Written by Rick Haynes on November 11, 2010 – 10:54 pm

One of my peers shared with me his understanding of EVOP (Evolutionary Operations).  If you do not know of EVOP, it is an optimization method based on simple little DOE (design of experiments) tests.  He told me that the original Box book on this technique discussed chemical plants that continuously adjust their settings according to [...]

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WEBINAR: Design of Experiments in Multi-Industry Processes: Reducing Lead Times and Defective Rates.

Icon Written by abrown on May 4, 2010 – 6:02 am

Design of Experiments (DOE) provides a structured approach where a small number of test trials can efficiently and effectively determine the response effects from multiple factors.