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Discussion Two of "Statistical Engineering and Variation Reduction"

Summary: In this discussion of the article "Statistical Engineering and Variation Reduction" by Stefan H. Steiner and R. Jock MacKay (Quality Engineering, Volume 26, Issue 1, pp. 44-60), statistical engineering expert David Steinberg adds some of his own thoughts and experiences in addressing the problem of reducing variation. This discussion covers the areas of sequential learning; baseline data; assessing measurement; identifying dominant causes; robust parameter design; and verification study.

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  • Topics: Statistics, Six Sigma
  • Keywords: Statistical engineering, Baseline study, Common causes, Variation, Measurement system, Process improvement, Sequential methods, Sequential experimentation, Six Sigma, Prior knowledge, Robust design
  • Author: Steinberg, David M.;
  • Journal: Quality Engineering