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Must a Process Be in Statistical Control before Conducting Designed Experiments

Summary: [This abstract is based on the author’s abstract.] Seventy-five years ago it was demonstrated that the key concepts of randomization, blocking, and replication make it possible to conduct experiments on processes that may not be in a state of statistical control. Yet even today confusion remains about the need for statistical control as a prerequisite for conducting valid industrial experiments. This article reviews and extends the original argument, reusing the original examples to discount the need for statistical control as a prerequisite in industrial experiments. Clarifying this issue may encourage quality practitioners to find wider use for designed experiments.

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  • Topics: Engineering
  • Keywords: Analysis of variance (ANOVA), Blocking, Design of experiments (DOE), Randomization tests, Replication
  • Author: Bisgaard, Bjorn
  • Journal: Quality Engineering