Chapter

Six Sigma with R

Volume 36 of the series Use R! pp 79-90

Date:

Measurement System Analysis with R

  • Emilio L. CanoAffiliated withDepartment of Statistics and Operations Research, Rey Juan Carlos University
  • , Javier M. MoguerzaAffiliated withDepartment of Statistics and Operations Research, Rey Juan Carlos University
  • , Andrés RedchukAffiliated withDepartment of Statistics and Operations Research, Rey Juan Carlos University

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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.