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Measurement System Assessment Via Generalized Inference

Summary: [This abstract is based on the author's abstract.] A successful quality improvement or statistical process control (SPC) program needs good measurement systems. A measurement system is evaluated by performing a designed experiment known as a gauge repeatability and reproducibility (R&R) study. Confidence intervals for the parameters that describe the quality of the measurement system represent a critical part of analyzing the data from a gauge R&R study. Confidence intervals can be obtained easily by using the recently developed generalized inference methodology, which can be calculated by exact numerical integration or approximated to any desired accuracy by the use of simulation. The methodology is demonstrated on data from two gauge R&R studies based on two-way layouts. This approach is sufficiently simple and general to extend the results to higher-way layouts.

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  • Topics: Statistical Process Control (SPC)
  • Keywords: Gauges,Statistical process control (SPC),Confidence intervals,Repeatability and reproducibility studies (R&R),Assessment,Gage Repeatability and reproducibility studies (GR&R),Measurement and control
  • Author: Hamada, Michael; Weerahandi, Sam
  • Journal: Journal of Quality Technology