Statistical Gage Repeatability Verification Standards for Relocated Production Fixtures
Relocating production fixtures mandates statistical gage re-verification via ANOVA Gage R&R and Type I studies to prove repeatability under new plant dynamics.
ANOVA Variance Components
Meaning
Statistical parameters used to identify the specific sources of error in a multi-factor measurement system analysis. Engineers employ anova variance components to assign proportions of total observed spread to hardware repeatability and operator reproducibility during the qualification of an end-of-line test station. This statistical breakdown clarifies exactly where the measurement error originates.
Variation Allocation
Mathematical partitioning separates the fluctuations in test results into categories corresponding to the product itself and the gauge equipment. By using anova variance components, a team determines if a low yield results from loose part tolerances or from drift in the radio frequency probe setup. High repeatability errors often point to probe fatigue.
Process Qualification
Verification of a production gauge relies on the comparison between these components and the allowable tolerance range specified in the design document. Calculation of anova variance components allows for the assessment of whether a measurement system is precise enough to distinguish between acceptable and failing wireless modules. This determination is the base requirement for starting full scale manufacturing.
Gage Error
Measurement error represents the distance between a reading and the true value of the object under test. Identification of anova variance components highlights the difference between a gauge that simply fails and one that introduces unacceptable levels of random noise.