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SAS/QC Software

Design of Experiments

Many quality-conscious manufacturers are taking advantage of experimentation to systematically improve a product or process. With the SAS System, you can generate factorial, fractional factorial, and mixed-level designs -- with or without blocking. When standard designs are not appropriate, you can generate designs based on A- or D- optimality.

The SAS System provides software in which you specify a set of candidate design points and a linear model, and the design points are chosen so that the terms in the model can be estimated as efficiently as possible.

The ADX Interface for Design and Analysis of Experiments

The ADX Interface 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. The ADX Interface does not require SAS programming.

SAS Procedures for Experimental Design

For users who are familiar with SAS programming, SAS/QC provides two procedures for expermiental design.

The FACTEX procedure constructs factorial designs. Factorial experimental designs are useful for studying the effects of various factors on a response.

The OPTEX procedure constructs optimal designs when factorial designs are not available. The standard designs described in the previous section have assured degrees of precision and orthogonality that are important for the exploratory nature of experimentation. Sometimes, however, standard designs are not available.

SAS Macros for Experimental Design

You can also use a collection of macros that are provided as a programming interface to common experimental design tasks. The macros in this collection are an alternative to using the underlying procedures directly. The macros act as a programming interface to common experimental design tasks such as design construction and design management.