Screening experiments for dispersion effects

Dizza Bursztyn, David M. Steinberg

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

9 Scopus citations

Abstract

Reduction of the variability in performance of products and manufacturing processes is crucial to the achievement of high levels of quality. Designed experiments can play an important role in this effort by identifying factors with dispersion effects, that is, factors that affect performance variability. Methods are presented for the design and analysis of experiments whose goal is the rapid screening of a list of candidate factors to find those with large dispersion effects. Several types of experiments are considered, including robust design experiments with noise factors, and both replicated and unreplicated fractional factorial experiments. We conclude that the effective use of noise factors is the most successful way to screen for dispersion effects. Problems are identified that arise in the various analyses proposed for unreplicated factorial experiments. Although these methods can be successful in screening for dispersion effects, they should be used with caution.

Original languageAmerican English
Title of host publicationScreening
Subtitle of host publicationMethods for Experimentation in Industry, Drug Discovery, and Genetics
PublisherSpringer New York
Pages21-47
Number of pages27
ISBN (Print)0387280138, 9780387280134
DOIs
StatePublished - 2006
Externally publishedYes

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