On evaluating the measurement capability of high-quality processes

Measurement systems analysis (MSA) ensures that the required data can reliably perform quality improvement initiatives. The common program to assess the precision of a measurement system is the gauge repeatability and reproducibility (R&R) study. Few investigations relate to the gauge R&R study for attribute data despite a need for industrial applications. Industries with near zero-defect manufacturing environments often experience occasional nonconformities in some samples when random shocks arise. The standard MSA may fail to identify defective data from high-quality processes. This study proposes an attribute gauge system to enhance the capability of the measurement system. The process and potential of the proposed system is illustrated using a manufacturing case.