Measurement System Analysis Using Repeatability and Reproducibility Techniques

Abstract

To monitor and improve any manufacturing process in quality control, it is important to measure the
cause of the attribute for that process. The quality of measurement data depends on the repeated
measurements obtained through measurement systems which will operate at a given condition. This
study uses a type of statistical quality control technique called Repeatability and Reproducibility
(R&R) to determine how much of the process variation is caused by the variation of the measurement
system that is being used. The two types of charts that were used for this study were the ANOVA
chart and the Mean & Average chart.