A bivariate attribute measurement model for six sigma project

Many quality improvement programs employ measurement system analysis (MSA) to ensure the reliability of measurement results in measure phase, which are the basis for decisions regarding the behavior of critical quality characteristics. Gauge repeatability and reproducibility (R&R) study is an important approach for evaluating the precision of MSA. Although many gauge capability studies exist and are common in industry, few have discussed cases with attribute data, especially on the case related to two or more related quality characteristics simultaneously. This study presents a novel model for evaluating gauge R&R for bivariate attribute data. An example is utilized to illustrate the application process of the proposed model. The proposed model is illustrated to be capable to assess and to improve measurement systems with bivariate attribute data.