Quality control charts for short or long runs without a training phase. Final part. Performances in the presence of a gradual increase in the mean and slightly autocorrelated data

IF 1 4区 工程技术 Q4 CHEMISTRY, ANALYTICAL
Manuel Alvarez-Prieto, Ricardo Páez-Montero
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引用次数: 0

Abstract

Sometimes analytical laboratories receive requests with a small number of determinations and/or samples, or outside the typical scope of analytical services offered. As a result, they may not have previous data on performance of analytical processes and/or appropriate reference materials. Under these conditions, it is difficult or uneconomical to use classic quality control charts. This is the so-called start-up problem of these control charts. The Quesenberry’s Q charts are appropriated in these situations because they do not require a prior training. This experimental study of Q charts for individual measurements was performed on quality control data for the evaluation of mass fraction of Cr2O3 and Fe in a serpentinite CRM by ICP-OES. The performance of Q charts is discussed when the analytical process presented a gradual increase in the process mean and in the presence of a slight autocorrelation in the raw data. In the first situation, the performances of Q charts for the mean were consistent with the performance of the classical chart for individual measurements, and their sensitivities were comparable. In the second situation, Q charts for the mean also showed a similar response when compared with the chart for individual measurements. They were able to detect the unusual pattern due to autocorrelation in both the short and the long runs. Recommendations on the application of classic and Q charts in the presence of autocorrelation are given. Some other general conclusions about the advantages and disadvantages of Q charts are offered.

Abstract Image

Abstract Image

没有训练阶段的短跑或长跑的质量控制图。最后一部分。表现在平均值逐渐增加和数据略有自相关的情况下
有时,分析实验室会收到少量检测和/或样品的请求,或超出所提供分析服务的典型范围。因此,他们可能没有分析过程的性能数据和/或合适的参考材料。在这种情况下,使用经典的质量控制图是困难的或不经济的。这就是控制图中所谓的启动问题。Quesenberry的Q图适用于这些情况,因为它不需要事先的培训。利用ICP-OES对某蛇纹石CRM中Cr2O3和Fe质量分数的质量控制数据进行了Q图的实验研究。当分析过程呈现过程均值逐渐增加和原始数据中存在轻微的自相关时,讨论了Q图的性能。在第一种情况下,Q图对均值的表现与经典图对单个测量的表现一致,并且它们的灵敏度具有可比性。在第二种情况下,与单个测量值的图表相比,平均值的Q图也显示出类似的反应。由于短期和长期的自相关,他们能够检测到不寻常的模式。给出了经典图和Q图在存在自相关情况下的应用建议。本文还就Q图的优缺点给出了一些一般性的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Accreditation and Quality Assurance
Accreditation and Quality Assurance 工程技术-分析化学
CiteScore
1.80
自引率
22.20%
发文量
39
审稿时长
6-12 weeks
期刊介绍: Accreditation and Quality Assurance has established itself as the leading information and discussion forum for all aspects relevant to quality, transparency and reliability of measurement results in chemical and biological sciences. The journal serves the information needs of researchers, practitioners and decision makers dealing with quality assurance and quality management, including the development and application of metrological principles and concepts such as traceability or measurement uncertainty in the following fields: environment, nutrition, consumer protection, geology, metallurgy, pharmacy, forensics, clinical chemistry and laboratory medicine, and microbiology.
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