Quality infrastructure development level evaluation method

Abstract

The invention provides a quality infrastructure development level assessment method. The method comprises the following steps that S1, defining the development level of a quality infrastructure as a first-level index, dividing the first-level index into four second-level indexes, wherein the four second-level indexes comprise the first second-level index, the second second-level index, the third second-level index and the fourth second-level index, and each second-level index is divided into a plurality of third-level indexes; s2, defining one or more observation variables for each three-levelindex, and distributing a corresponding weight for each observation variable; s3, defining each observation variable, obtaining a calculation formula according to the definition of each observation variable, and calculating the score of each observation variable in the current year; and S4, according to the weight setting in the step S2, multiplying the value calculated by each observation variable in the step S3 by the weight to obtain a product, and adding the products of the plurality of observation variables to obtain a value which is the annual quality infrastructure development level.

Description

technical field [0001] The invention relates to the field of quality management, in particular to a method for assessing the development level of quality infrastructure. Background technique [0002] Quality Infrastructure (Quality Infrastructure, QI) is a concept first proposed by Physikalisch-Technische Bundesanstalt (PTB) in 2002. . [0003] my country introduced this concept into China in 2014 and innovated a new idea of ​​macro-quality management. It believes that the integration effect of QI is an important direction to improve quality, and invested 1.783 billion in research from 2016 to 2019. Local Quality Supervision Bureaus have also explored the practical application of QI from their own perspectives and achieved some breakthroughs in the model. [0004] At the same time, the fundamental problem that QI is difficult to quantify has not yet been resolved. At present, there are three international and domestic comparative studies. The first is the Trade Standard ...

AI Technical Summary

Problems solved by technology

The shortcoming is that it is constrained by the availability of international data. At the level of observation variables of the evaluation index system, it cannot be completely composed of statistical data. Some observation variables use the scoring data of international authoritative organizations, which weakens the objectivity.

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