Evaluating the precision of bivariate attribute measurements

Jung Lyu, Ming Nan Chen

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)


Many quality improvement programs employ measurement system analysis (MSA) to ensure the reliability of measurement results, which are the basis for conclusions regarding the behaviour of critical quality characteristics. Gauge repeatability and reproducibility (R&R) study is an important approach for evaluating the precision of MSA. Although many gauge capability studies exist and are common in industry, few have discussed cases with attribute data. Modern manufacturing processes must monitor two or more related quality characteristics simultaneously to enhance the quality management effectiveness. This study presents a novel model for evaluating gauge R&R for bivariate attribute data. An alloy manufacturing case is utilized to illustrate the process and potential of the proposed model. Findings are employed to assess and improve measurement systems with bivariate attribute data.

頁(從 - 到)99-110
期刊Journal of Statistical Computation and Simulation
出版狀態Published - 2010 1月

All Science Journal Classification (ASJC) codes

  • 統計與概率
  • 建模與模擬
  • 統計、概率和不確定性
  • 應用數學


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