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A Bivariate Attribute Measurement Model For Six Sigma Project

机译：六西格玛项目的双变量属性测量模型

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摘要

Many quality improvement programs employ measurement system analysis (MSA) to ensure the reliability of measurement results in measure phase, which are the basis for decisions regarding the behavior 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, especially on the case related to two or more related quality characteristics simultaneously. This study presents a novel model for evaluating gauge R&R for bivariate attribute data. An example is utilized to illustrate the application process of the proposed model. The proposed model is illustrated to be capable to assess and to improve measurement systems with bivariate attribute data.
机译：许多质量改进计划采用测量系统分析（MSA），以确保测量阶段测量结果的可靠性，这是关于临界质量特征行为的决策的基础。仪表重复性和再现性（R＆R）研究是评估MSA精度的重要方法。虽然存在许多仪表能力研究并且在工业中常见，但很少有讨论具有属性数据的案例，特别是在与两个或多个相关质量特征相关的情况上同时进行的情况。本研究提出了一种用于评估仪表R＆R的新型模型，用于双变量属性数据。利用示例来说明所提出的模型的应用程序。示出所提出的模型能够评估和改进具有Bivariate属性数据的测量系统。

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