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Tutorial: Using DOE to Identify Main Effects and Interactions

Abstract: Design of experiments (DOE) is a powerful statistical tool that allows maximum learning with minimum experimentation. The traditional approach to experimental design—varying one factor at a time and observing the results—can produce a large number of experimental runs while failing to reveal important interactions. As this discussion illustrates, interactions are best found by varying more than one input at a time in an experiment. A companion template is available at www.asq.org/sixsigma/tools-exchange/docs/3-factor-doe-template.xls.

Keywords: Interactions; Main Effects; Balanced Design; Quality Tools;

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--miansalimuddin, 02-03-2014


--miansalimuddin, 02-03-2014

Excelllent article. Very Illustrative and simple to understand
--Angelica Astrain, 01-21-2010
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