Meaning
Statistical tools analyze the variation in a measurement system by separating the variance into components caused by the equipment and those caused by the operators. Conducting a gage repeatability and reproducibility study ensures that the testing equipment on the production line is capable of consistently separating good parts from bad parts. This analysis is performed before the testing station is approved for mass production.
It provides the baseline data required for process capability indices and ensures that test tolerances are realistic.
Measurement Analysis
Data collection involves multiple operators measuring the same set of parts several times. In a gage repeatability and reproducibility trial, the collected values are processed using analysis of variance to identify the primary sources of error. This mathematical approach helps locate where the test setup needs improvement.
Equipment Consistency
Internal variations within the test instrument must be kept as low as possible. A low gage repeatability and reproducibility percentage indicates that the testing fixture is stable and reliable. This stability minimizes the risk of false failures during automated board testing.
Operator Influence
Human error can skew measurement results if the test procedure is not standard. Running a gage repeatability and reproducibility analysis highlights the differences in how operators load parts into the fixture. This feedback is used to design more ergonomic or automated clamping systems.
