New indicators for measurement error detection in GR&R studies.

• Traditional GR&R studies are limited to determine the source of measuring error. • Proposed new indicators detect both repeatability and reproducibility errors. • A stainless steel cladding process on surfaces of carbon steel were assessed. • Empirical results showed that the proposal outperformed literature method. Measurement system analysis has a pivotal role in assessing the measuring error when conducting empirical studies. Gage Repeatability and Reproducibility (GR&R) studies are classic methods applied to evaluate measurement system adequacy for a particular application. However, previous published studies are limited to determine the source of measuring error related to not only reproducibility but also repeatability. Hence, the objective of this research is to propose new indicators for measurement error detection due to both repeatability and reproducibility variation in GR&R studies. These indicators were calculated using standardized scores from the analysis of variance. The proposed procedure has been applied not only to literature data but also to a stainless steel cladding process on surfaces of carbon steel. While literature method has detected only reproducibility error, the proposed procedure were able to detect both reproducibility and repeatability sources of measuring error. [ABSTRACT FROM AUTHOR]