I'm doing Six Sigma or Lean
Design of experiments (DOE) is a very important element in Six Sigma or Lean methodology. Stat-Ease offers a structured statistical approach to help you understand the factors that affect a process and then create meaningful and effective tests to verify possible improvement ideas or theories. We focus on making DOE as easy as possible with relevant articles, top-notch training, consulting services, books, newsletters, FAQs and DOE Resources, and user-friendly software.
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Stat-Ease offers a several articles on DOE and Six Sigma. If you would like to learn more about this subject, we recommend you begin with the articles below.
2. Cost-Effective and Information-Efficient Robust Design for Optimizing Processes and Accomplishing Six Sigma Objectives—Standard factorial designs (one array) offer a cost-effective and information-efficient robust design alternative to parameter designs (two -array) made popular by Taguchi. This paper compares these two methods (one-array versus two-array) in depth via an industrial case study. It then discusses advanced tools for robust design that involve application of response surface methods (RSM) and measurement of propagation of error (POE).
Also see this postscript to the article. (ps_re_Taguchi.pdf—120KB)
3. Six Sigma for the Road—Read this Stat-Teaser newsletter article from Mark Anderson on using propagation of error (POE) and multiple response optimization to analyze a DOE on driving time.
Click here to go the Articles page and see all available DOE articles and case studies.
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