Introduction to the OPTEX Procedure

Overview

The OPTEX procedure searches for optimal experimental designs. You specify a set of candidate design points and a linear model, and the procedure chooses points so that the terms in the model can be estimated as efficiently as possible.

Most experimental situations call for standard designs, such as fractional factorials, orthogonal arrays, or central composites. Standard designs have assured degrees of precision and orthogonality that are important for the exploratory nature of experimentation. In some situations, however, standard designs are not available, such as when

not all combinations of the factor levels are feasible
the region of experimentation is irregularly shaped
resource limitations restrict the number of experiments that can be performed
there is a nonstandard linear or a nonlinear model

The OPTEX procedure can generate an efficient experimental design for any of these situations.

Note: Instead of using OPTEX directly, a more appropriate tool for you may be the ADX Interface. The ADX Interface, which has been completely revised in Version 7, is designed primarily for engineers and researchers who require a point-and-click solution for the entire experimental process, from building the designs through determining significant effects to optimization and reporting. In addition to offering standard designs as mentioned above, ADX makes it easy to use OPTEX to find optimal designs for non-standard factorial, response surface, and mixture experiments, with and without blocking. Information about the ADX Interface can be found at http://www.sas.com/rnd/app/qc/newadx/newadx.html .

Features

Learning about the OPTEX Procedure

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