E-commerce product quality safety risk monitoring and early warning method

A technology of product quality and e-commerce, applied in commerce, instruments, data processing applications, etc., can solve the problems of lack of early warning calculation research, product quality early warning, and inability to product quality early warning

Inactive Publication Date: 2019-07-05
杭州国家电子商务产品质量监测处置中心
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, the quality and safety risk monitoring of e-commerce products is mainly through the detection of online shopping products, and the data obtained from the detection cannot directly and effectively reflect the risk; and the early warning of e-commerce products mainly focuses on information retrieval, aiming to help users Found valuabl

Method used

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  • E-commerce product quality safety risk monitoring and early warning method
  • E-commerce product quality safety risk monitoring and early warning method
  • E-commerce product quality safety risk monitoring and early warning method

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Embodiment Construction

[0078] The present invention will be further described below in conjunction with the accompanying drawings and embodiments, but not as a basis for limiting the present invention.

[0079] Example. E-commerce product quality and safety risk monitoring and early warning methods, the composition is as follows: Figure 1 to Figure 5 As shown, first determine the product to be sampled, and then regularly draw samples with a quantity of n, and test the quality of the sample to obtain the various data of the sample; according to the data obtained from the test, use the control chart to monitor the risk of the sample , use the formula to calculate the risk coefficient to give early warning to the sample; the risk monitoring of the sample includes the risk monitoring of the rate of non-conforming products and the risk monitoring of key quality characteristics;

[0080] The formula for calculating the risk coefficient for early warning of samples is:

[0081] Among them, R i is the...

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Abstract

The invention discloses an e-commerce product quality safety risk monitoring and early warning method, which comprises the following steps: firstly determining a product to be sampled, then regularlyextracting n samples, and detecting the quality of the extracted samples to obtain each piece of data of the sample; carrying out risk monitoring on the sample by utilizing the control chart accordingto the detected data, and calculating a risk coefficient by utilizing a formula to carry out early warning on the sample; risk monitoring of the sample includes risk monitoring of unqualified productrate and risk monitoring of key quality characteristics. The method has the characteristics that the safety risk can be visually reflected, and the product quality can be early warned timely and accurately.

Description

technical field [0001] The invention relates to an e-commerce product quality monitoring method, in particular to an e-commerce product quality safety risk monitoring and early warning method. Background technique [0002] With the rapid development of e-commerce, the quality of e-commerce products has attracted more and more attention from consumers. It is necessary to monitor the quality of e-commerce products and give early warning to the corresponding product quality so that law enforcement officers can grasp the information in time , to protect the rights and interests of consumers. However, at present, the quality and safety risk monitoring of e-commerce products is mainly through the detection of online shopping products, and the data obtained from the detection cannot directly and effectively reflect the risk; and the early warning of e-commerce products mainly focuses on information retrieval, aiming to help users Valuable information is found, but there is a lack ...

Claims

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Application Information

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IPC IPC(8): G06Q30/00
CPCG06Q30/018
Inventor 陈兆波蒋宏刘洋孙聪卞贤科安丽娜蒋奕平吕博文
Owner 杭州国家电子商务产品质量监测处置中心
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