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.
DOE - Design of Experiments software
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