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A quality control method based on a multivariate z-score quality control chart for laboratory diagnostics or industrial production

A technology for laboratory diagnosis and industrial production, which is applied in the field of quality control based on multivariate Z-score quality control charts, and can solve problems such as multivariate Z-score control charts that have not yet been seen.

Active Publication Date: 2018-03-23
上海脉联科技有限公司
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AI Technical Summary

Problems solved by technology

At present, there are many kinds of multivariate control charts, such as multivariate mean control charts (multivariate X2 control charts, multivariate T2 control charts), multivariate dispersion control charts (multivariate ISI control charts, multivariate W control charts) , multivariate cumulative sum control chart, multivariate weighted moving average control chart, etc., but there is no multivariate Z-score control chart

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  • A quality control method based on a multivariate z-score quality control chart for laboratory diagnostics or industrial production
  • A quality control method based on a multivariate z-score quality control chart for laboratory diagnostics or industrial production
  • A quality control method based on a multivariate z-score quality control chart for laboratory diagnostics or industrial production

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Embodiment Construction

[0045] Hereinafter, the present invention will be described in detail with reference to the drawings and embodiments. The following examples do not limit the invention. Without departing from the spirit and scope of the inventive concept, changes and advantages that can be imagined by those skilled in the art are all included in the present invention.

[0046] image 3 It is a flowchart of a quality control method based on a multivariate Z-score quality control chart according to an embodiment of the present invention. Such as image 3 As shown, the quality control method includes the following steps.

[0047] Step a: Obtain the Z scores of multiple detection items detected by the detection equipment, that is, multiple detection variables.

[0048] Here, the detection device may be a detection analysis system that generates various detection variables. For example, in the field of laboratory diagnosis in clinical medicine, it may be a biochemical analyzer. It can detect ...

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Abstract

The present invention proposes a quality control method based on a multivariate Z-score quality control chart, comprising: step a: obtaining multiple detection items detected by the detection equipment, that is, the Z-scores of multiple detection variables; step b: establishing concentric circles Multivariate Z score quality control chart; step c: mark the Z scores of the multiple detection variables on the multivariate Z score quality control chart respectively; and step d: mark by the Z score of the multiple detection variables The location obtains the quality control status of each of the detected variables. Through the present invention, the controlled or out-of-controlled state of multiple detected variables can be visually observed by using a multivariate Z score quality control chart. In addition, the control of system stability can be realized through the Zs variable Z score quality control chart.

Description

technical field [0001] The invention relates to the field of quality control, in particular to a quality control method based on a multivariate Z-score quality control chart. Background technique [0002] The development of statistical quality control theory benefits from the demand for product quality in industrial production. In 1924, American scholar Shewhart (Shewhart W.A.) applied the principles and methods of mathematical statistics to industrial production and established the famous Shewhart quality control chart to predict changes in the production process and prevent fluctuations in product quality. In 1951, Levey-Jennings introduced the Shewhart quality control chart into the clinical laboratory to control the quality of the inspection process of the clinical laboratory. The Levey-Jennings (LJ) quality control chart is a mean-range control chart, which requires double parallel measurements of patient samples in each experiment, calculates the mean and range of the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B19/418
CPCY02P90/02
Inventor 王磊谢泽航汤琳
Owner 上海脉联科技有限公司
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