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错误的假设导致新的六西格玛模型偏离轨道。

Mistaken assumptions drive new Six Sigma model off the road.

机构信息

Westgard QC, Madison, USA.

Immunogenetics Research Center, Mazandaran University of Medical Sciences, Sari, Iran.

出版信息

Biochem Med (Zagreb). 2019 Feb 15;29(1):010903. doi: 10.11613/BM.2019.010903. Epub 2018 Dec 15.

Abstract

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 CV/CV, where CV is individual biological variation and CV 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.

摘要

奥斯特豪斯和科斯昆最近提出了一个将六西格玛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,作者错误地解释了六西格玛的工业基础,并将六西格玛的“计数方法”与“变化方法”混淆,因此许多后来的归因、结论和建议也是错误的。尽管作者试图基于工业原理为新模型辩护,但他们忽略了六西格玛与过程能力指数之间的基本关系。所提出的模型,西格玛度量是通过 CV/CV 计算得出的,其中 CV 是个体生物学变异,CV 是观察到的分析不精密度。这个新的度量没有考虑偏差,这是应用于实验室测试过程的一个主要限制。因此,新模型不能对方法性能进行有效评估,也不能为选择或设计统计质量控制程序提供实用的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9b6/6294151/ce98ac084212/bm-29-1-010903-f1.jpg

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