DOE: The Jewel of Quality Engineering

Abstract

Design of experiments (DOE) methods are among the most complicated and useful of statistical quality control techniques. DOE methods can be an important part of a thorough system optimization, yielding definitive system design or redesign recommendations. These methods all involve the activities of experimental planning, conducting experiments, and fitting models to the outputs. An essential ingredient in applying DOE methods is the use of procedure called “randomization” which is defined at the end of this chapter. To preview, randomization involves making many experimental planning decisions using a random or unpatterned approach.