Journal of the Chinese Institute of Industrial Engineers · 2007 · 20 citations · 9 references
EngineeringManufacturing EngineeringQuality ManagementMetrologyQuality AssuranceQuality EngineeringMeasurement PrecisionMeasurement System AnalysisMeasurement TheoryMechanical MeasurementPrincipal Component AnalysisVariance ComponentsGauge MetrologyIndustrial Measurement SystemsManufacturing RepeatabilityMeasurementMeasurement ReproducibilityMultivariate Normal DistributionProcess MeasurementRepeatability
ABSTRACT The gauge repeatability and reproducibility (GR&R) study is typically conducted on a single quality characteristic. However, manufacturing tests in a GR&R study usually have multiple characteristics with a multivariate normal distribution. Principal component analysis (PCA) method can transform the multiple characteristics into one or a few irrelevant variables and provide sufficient information. Then, these irrelevant variables were analyzed using analysis of variance. Two composite indices such as precision to tolerance (P/T) ratio and measurement variation to total variation of measurement system ratio (σ2 gauge /σ2 Total ) combining from all variables were used to evaluate the adequacy for the measurement process. A real example was used to demonstrate the application of the proposed methodology. Keywords: gauge repeatability and reproducibilitymultiple characteristicsprincipal component analysis
9