Abstract
Measurement system capability analysis is important to quality management. Much research in this field focuses on univariate and multivariate measurement systems. However, the existing methods are not suitable when the quality of a product is characterized by a profile. This paper proposed an approach where the measured results of objects can be characterized by simple linear profiles. Since the measurement error affects the estimation of the slope and intercept, the measurement system capability analysis for simple linear profiles can be treated as a two-response problem. MANOVA is applied to estimate the variance-component matrices of measurement error and other sources of variation. Then two criteria which are the development of multivariate criteria precision to tolerance ratio and percent R&R % are introduced to assess the simple linear profile measurement system capability.
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