Measurement system analysis is a vital component of many continuous improvement initiatives. In the manufacturing industry, variation in a measurement system is a key characteristic to be assessed and improved upon. Measurement systems are commonly evaluated by performing a gauge repeatability and reproducibility (gauge R & R) study, which analyses any variations between measurements by a gauge (repeatability) and between results obtained by different appraisers (reproducibility). To determine the preferred method for gauge R & R analysis; average and range, and two-way analysis of variance were applied to data taken from four real case studies from the automotive industry (a stabilizer clamp bracket, a coated steel sheet, a steel sheet body panel, and a brake disc). Possible differences in gauge R & R characteristics were compared, and residual diagnosis was used to discern violations in two-way ANOVA. To develop a robust road map for gauge R & R analysis, interactions between gauge R & R parameters, residual diagnosis, and number of distinct categories were analysed.
An assessment of the robustness of gauge repeatability and reproducibility analysis in automotive components
Bewertung der Stabilität der Messwerte-Reproduzierbarkeit bei Fahrzeugbauteilen
2011
18 Seiten, 12 Bilder, 13 Tabellen, 62 Quellen
Article (Journal)
English
Automotive engineering | 2011
|SAGE Publications | 2011
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