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DOE - Design of Experiments software

DOE - Design of Experiments software is an advanced statistical tool to identify optimum parameter settings for improved quality and productivity.

DOE - Design of Experiments - Roadmap for Six Sigma, APQP and TQM projects

This software module consists of the following templatized tools and techniques:

  • QLF & Experiment Variable This application allows the user to conduct simple orthogonal array experiment. The user is guided step-by-step throughout the experiment.iCT-M thus provides a very simple
  • QLF & Experiment Attribute Design of Experiments (Attribute) is a structured statistical approach to improve a product and process performance with an attribute response. An examples of attribute response includes Accept/Reject
  • Quality Loss Function Quality Loss Function is an important method of measuring improvement particularly as a “Before – After” comparison.
  • Experiment This application allows the user to conduct simple orthogonal array experiments. The user is guided step-by-step throughout the experiment. Anova calculations are conducted and optimum conditions determined.

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Materials available free for members only:
  • DOE - Learning Material (Word Document)
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