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Risk assessment method for unqualified products

A technology for risk assessment and qualified products, applied in data processing applications, instruments, complex mathematical operations, etc., to achieve the effect of improving comprehensive performance evaluation, high accuracy, and good adaptability

Inactive Publication Date: 2022-06-10
GUANGDONG TESTING INST OF PROD QUALITY SUPERVISION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] At present, a considerable part of the large-scale product quality sampling plans in the market circulation field or production field do not make sufficient use of past inspection data, which is reflected in the fact that after the sampling inspection of related products, only Simply summarize the proportion of unqualified items in the overall sampling quantity, focus more on the analysis of several reasons that lead to the unqualified items, and have less systematic direction on how to better discover potential unqualified and defective products in the future product sampling plan big data analysis
The progressive characteristics of the detection data are not obvious
Over time, a large amount of detection data accumulation is not easy to show the corresponding value

Method used

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  • Risk assessment method for unqualified products
  • Risk assessment method for unqualified products
  • Risk assessment method for unqualified products

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] The risk assessment method of the unqualified product provided by this embodiment includes the following steps:

[0037] The construction of the unqualified product prediction model in this embodiment is based on the results of the 2015-2021 sampling inspection:

[0038] (1) Data preprocessing:

[0039] 1.1 Data description and data integration

[0040] 1.2 Inclusion of variables

[0041] 1.3 Data cleaning

[0042] 1.1 Data description and data integration

[0043] First change the file type to xlsx to get:

[0044] (1) Clothing, shoes and hats and household textiles.xlsx

[0045] (2) Furniture and building decoration materials.xlsx

[0046] (3) Daily chemicals and hygiene products.xlsx

[0047] (4) Stationery and type products, children and infant products.xlsx

[0048] The data information contained in the above files are:

[0049] (1) 16754 rows*51 columns

[0050] (2) 6197 rows * 51 columns

[0051] (3) 2627 rows*51 columns

[0052] (4) 14426 rows*51 col...

Embodiment 2

[0116] Example 3

Embodiment 3

[0118] Example 4

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Abstract

The invention discloses a risk assessment method for unqualified products, and the method comprises the following steps: (1) carrying out the data preprocessing, data screening and feature extraction of pre-collected product large-class sample data, and obtaining feature parameters corresponding to the unqualified products; (2) randomly segmenting data of all samples into a training set and a verification set according to a proportion of 7: 3; (3) establishing a Logistic regression model according to the characteristic parameters, evaluating the Logistic regression model by adopting an ROC curve and an AUC value, and calculating an optimal truncation value of an unqualified product probability according to a Youden index; and (4) inputting the characteristic parameters of the to-be-tested product into the Logistic regression model to obtain the disqualification condition of the to-be-tested product. The method is accurate in prediction result, high in speed and good in adaptability to a large amount of detection data.

Description

technical field [0001] The invention belongs to the field of big data prediction of product quality, and in particular relates to a risk assessment method for unqualified products. Background technique [0002] At present, a considerable number of large-scale product quality sampling plans in the market circulation field or production field do not make sufficient use of past testing data. This is reflected in the fact that after the sampling test of related products is completed, the proportion of unqualified items in the overall sampling quantity is simply summarized, and more emphasis is placed on analysis. There are several reasons why relevant items are unqualified, and there is less systematic big data analysis on how to better discover potential unqualified and defective products in the future product sampling plan. The progressive characteristics of the detection data are not obvious. Over time, the accumulation of a large amount of detection data is not easy to show...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06K9/62G06F17/18
CPCG06Q10/0635G06Q10/06395G06F17/18G06F18/24323G06F18/214
Inventor 康瀚匀刘毅黄锐洲萧文恭孙世英
Owner GUANGDONG TESTING INST OF PROD QUALITY SUPERVISION
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