Abstract
Design of experiments (DOE) is an area that has been developed to save resources with efficient techniques and procedures. DOE can be used to screen multiple factors to determine which are important and which can be safely ignored and which should be considered as interacting with other factors. Projects can be designed in stages to first identify and then concentrate resources on important factors and areas of interest. Numbers of observations at each level of a regression don’t have to be balanced. Duplicates can be used more efficiently than triplicates. Factorial designs are analyzed with ANOVA and fractions of the original design can be used to gather the same information more efficiently.
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