Supplier quality evaluation early warning method, device and electronic equipment

A quality evaluation and supplier technology, applied in business, data processing applications, instruments, etc., can solve the problems of abnormal data integration and analysis, high analysis cost, difficult analysis, etc., and achieve the effect of reasonable evaluation results

Pending Publication Date: 2021-06-22
GREE ELECTRIC APPLIANCES INC +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

All enterprises hope to improve the data analysis capability of the information system and obtain the additional business value hidden in the data, but the data storage of each production management information system is scattered and the format is diverse, which is difficult to analyze and the analysis cost is high. For example, in the production process of suppliers The inspection data, after-sales data, and return data are usually difficult to integrate together, so it is not easy to carry out risk assessment on suppliers
[0003] At present, the risk assessment of suppliers largely depends on empirical judgment. Even if there is specific data support, the process of collecting data is cumbersome and the cycle is long. Therefore, many quality problems can only be compensated after the fact. At present, many independent systems Only a single quality evaluation index can be formed, and there may be unreasonable situations in the evaluation, so it is impossible to integrate and analyze the abnormal data of suppliers in the entire production chain

Method used

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  • Supplier quality evaluation early warning method, device and electronic equipment
  • Supplier quality evaluation early warning method, device and electronic equipment
  • Supplier quality evaluation early warning method, device and electronic equipment

Examples

Experimental program
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Effect test

Embodiment 1

[0048] see figure 1, the present application provides a supplier quality evaluation early warning method that can be applied to electronic equipment, and when the method is applied to electronic equipment, step S110-step S144 is performed.

[0049] Step S110: Obtain product evaluation information of the supplier within a preset time period from the database, wherein the product evaluation information includes evaluation information of multiple evaluation dimensions of the product.

[0050] Step S120: Perform statistics on the unqualified information in the evaluation information of each evaluation dimension to obtain the unqualified rate of the evaluation dimension.

[0051] Step S130: Determine whether the unqualified rate of each evaluation dimension is greater than the preset unqualified rate threshold corresponding to the evaluation dimension.

[0052] When the unqualified rate of each evaluation dimension is not greater than the corresponding preset unqualified rate thre...

Embodiment 2

[0088] The embodiment of the present application also provides a supplier quality evaluation early warning device, the supplier quality evaluation early warning device includes a processor, wherein the processor is used to execute the following program modules stored in the memory:

[0089] The obtaining module is used to obtain the product evaluation information of the supplier within a preset period of time from the database, wherein the product evaluation information includes evaluation information of multiple evaluation dimensions of the product.

[0090] Due to fetching modules and figure 1 The implementation principle of step S110 is similar, so no further description is given here. It should be noted that, in this embodiment, the product data in the database can be obtained according to steps S210-S230, which will not be described in detail here.

[0091] The statistics module is used to make statistics on the unqualified information in the evaluation information of ea...

Embodiment 3

[0103] This embodiment also provides a computer-readable storage medium, such as flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), only Read memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, server, App application store, etc., on which computer programs are stored, When the computer program is executed by the processor, the method steps in the first embodiment above can be implemented.

[0104] For the specific implementation process of the steps of the above method, refer to Embodiment 1, and this embodiment will not be repeated here.

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Abstract

The invention relates to the technical field of detection and alarm, in particular to a supplier quality evaluation early warning method, a device and electronic equipment. The method comprises the steps: carrying out the statistics of unqualified information in the evaluation information of each evaluation dimension in obtained product information, so as to obtain the unqualified rate of the evaluation dimension; when the reject ratio of each evaluation dimension is not greater than the corresponding preset reject ratio threshold value, obtaining the historical reject ratio corresponding to each evaluation dimension from the database, and adjusting the corresponding preset reject ratio threshold value according to each historical reject ratio; and returning to the execution database to obtain the product evaluation information of the supplier in the preset time length, and when the reject ratio of the evaluation dimension is greater than the corresponding preset reject ratio threshold, generating a quality early warning prompt signal to perform early warning. According to the invention, the quality of the product of the supplier is evaluated in multiple dimensions, and the preset reject ratio threshold is adjusted according to the historical reject ratio, so that the accuracy of early warning is improved.

Description

technical field [0001] The invention relates to the technical field of detection and alarm, in particular to a supplier quality evaluation and early warning method, device and electronic equipment. Background technique [0002] With the advent of the industrial Internet era, all walks of life have begun to analyze the commercial value brought by big data. All enterprises hope to improve the data analysis capability of the information system and obtain the additional business value hidden in the data, but the data storage of each production management information system is scattered and the format is diverse, which is difficult to analyze and the analysis cost is high. For example, in the production process of suppliers It is usually difficult to integrate testing data, after-sales data, and return data, so it is not convenient to conduct risk assessment on suppliers. [0003] At present, the risk assessment of suppliers largely depends on empirical judgment. Even if there i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00
CPCG06Q30/018
Inventor 刘旭王博林浩生张康龙邹建伟吕沙沙王肖尹雪枫袁香宇韦佳琪聂双燕
Owner GREE ELECTRIC APPLIANCES INC
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