Abstract
Measurement system analysis (also known as gage R&R study) identifies and quantifies the sources of variation that influence the measurement system. R&R stands for repeatability and reproducibility. It is a very important matter in Six Sigma, because if the variability of the measurement system is not controlled, then the process cannot be improved. To perform a gage R&R study, several of the individual tools described in other chapters of the book may be used, such as control charts, analysis of variance (ANOVA), and plots. The principal types of studies are crossed studies and nested studies. This chapter shows how to use these tools individually with R and provides an interpretation of the outputs from the SixSigma package for crossed studies.
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Notes
- 1.
It is supposed to be done randomly.
- 2.
The study var is defined as the standard deviation of each source of variation, multiplied by 5.15 (5.15 standard deviations cover 99% of data).
- 3.
It is available in the SixSigma package as a data object called ss.data.pastries. You can save the data in a data frame yourself.
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Cano, E.L., Moguerza, J.M., Redchuk, A. (2012). Measurement System Analysis with R. In: Six Sigma with R. Use R!, vol 36. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3652-2_5
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DOI: https://doi.org/10.1007/978-1-4614-3652-2_5
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