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Abstract
We review methods for conducting and analyzing measurement systems capability studies, focusing on the analysis of variance approach. These studies are designed experiments involving crossed and possibly nested factors. The analysis of variance is an attractive method for analyzing the results of these experiments because it permits efficient point and interval estimation of the variance components associated with the sources of variability in the experiment. In this paper we demonstrate computations for the standard two-factor design, describe aspects of designing the experiment, and provide references for situations where the standard two-factor design is not applicable.
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Notes on contributors
Richard K. Burdick
Dr. Burdick is a Professor in the W. P. Carey School of Business. He is a Member of ASQ. His email address is [email protected].
Connie M. Borror
Dr. Borror is a Senior Lecturer in the Department of Industrial Engineering. She is a Senior Member of ASQ.
Douglas C. Montgomery
Dr. Montgomery is a Professor in the Department of Industrial Engineering. He is a Fellow of ASQ.
