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Mistaken assumptions drive new Six Sigma model off the road

机译:错误的假设使新的6西格玛模型脱颖而出

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摘要

Oosterhuis and Coskun recently proposed a new model for applying the Six Sigma concept to laboratory measurement processes. In criticizing the conventional Six Sigma model, the authors misinterpret the industrial basis for Six Sigma and mixup the Six Sigma “counting methodology” with the “variation methodology”, thus many later attributions, conclusions, and recommendations are also mistaken. Although the authors attempt to justify the new model based on industrial principles, they ignore the fundamental relationship between Six Sigma and the process capability indices. The proposed model, the Sigma Metric is calculated as the ratio CVI/CVA, where CVI is individual biological variation and CVA is the observed analytical imprecision. This new metric does not take bias into account, which is a major limitation for application to laboratory testing processes. Thus, the new model does not provide a valid assessment of method performance, nor a practical methodology for selecting or designing statistical quality control procedures.
机译:Oosterhuis和Coskun最近提出了一种将“六西格码”概念应用于实验室测量过程的新模型。在批评传统的六西格玛模型时,作者误解了六西格玛的工业基础,并将六西格玛的“计数方法”与“变异方法”混为一谈,因此许多后来的属性,结论和建议也被误认为是错误的。尽管作者试图根据工业原理证明新模型的合理性,但他们忽略了6 Sigma与过程能力指数之间的基本关系。所提出的模型Sigma Metric以CVI / CVA之比计算,其中CVI是个体生物学变异,CVA是观察到的分析不精确度。此新指标未考虑偏差,这是应用于实验室测试过程的主要限制。因此,新模型没有提供对方法性能的有效评估,也没有提供选择或设计统计质量控制程序的实用方法。

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