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.
Number of Distinct Categories
Meaning
Statistical metric that quantifies how many separate groups of information a measurement gauge can identify within the actual spread of a production process. Calculating the number of distinct categories involves comparing the total variance of the parts to the variation inherent in the gauge system itself. It shows if the tool is sensitive enough for use.
Resolution Capability
Capability of the quality check relies on have enough sensitivity to spot small shifts in frequency or power before they cross a limit line. When the number of distinct categories is below five, the system is considered too crude to monitor the manufacturing trends effectively. High precision sensors aim for values well above ten to allow for analytical data mapping.
Production Sensitivity
Decisions regarding yield optimization depend on data that reflects real changes in build quality rather than sensor noise. An insufficient number of distinct categories results in data that looks stepped or flat, masking the subtle indicators of tooling wear or module degradation. Improving the probe contact often boosts this value.
Measurement Precision
Confidence in the reported pass rate is only possible when the resolution of the test is high relative to the variance of the products.