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Supplier selection method

A technology of suppliers and populations, applied in data processing applications, instruments, biological neural network models, etc., can solve problems such as ignorance and singularity abnormal data processing, so as to improve the degree of objectivity, reduce the influence of human subjective factors, and avoid artificial The effect of factors

Inactive Publication Date: 2015-05-06
WUHU YANGYU ELECTROMECHANICAL TECH DEV
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Problems solved by technology

[0005] In order to overcome the singleness of the supplier selection method in the prior art and the problem of ignoring abnormal data processing, the present invention provides a supplier selection method

Method used

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Embodiment Construction

[0031] Referring to the accompanying drawings, through the description of the embodiments, the specific embodiments of the present invention include the shape, structure, mutual position and connection relationship of each part, the function and working principle of each part, and the manufacturing process of the various components involved. And the method of operation and use, etc., are described in further detail to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concepts and technical solutions of the present invention.

[0032] A supplier selection method such as figure 1 As shown, the method steps include:

[0033] Step 1: Establish a supplier selection evaluation index system, which includes quality, cost, finance, service, delivery and flexibility, supplier development potential, communication and environmental protection level.

[0034] The evaluation index system is specifically: quality indicators include prod...

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Abstract

The invention relates to a supplier selection method and belongs to the field of selection directions of suppliers. The supplier selection method comprises the steps of 1 establishing a supplier selection evaluation index system 2 establishing a data correction model and deleting or correcting bad values or non-correlated values in index data in the step, 3 establishing a multi-population neural network model, conducting continuous iteration on a neural network till the error between an output value and an expected value is smaller than a threshold value and completing establishment of a supplier selection model and 4 inputting corrected data output by the a supplier selection model in the step 2 to the multi-population neural network model and outputting an optimally selected supplier. By means of the supplier selection method, the bad values can be directly deleted by correcting data of multiple supplier indexes, redundant information is effectively processed, and the problems of simplicity and neglected abnormal data processing of a supplier selection method in the prior art are solved.

Description

technical field [0001] The invention relates to the direction of supplier selection, in particular to a supplier selection method. Background technique [0002] JIT green procurement, which comprehensively considers sustainable development and lean thinking, can take into account the current economic development and long-term social development requirements. The selection of suppliers is the first and most critical step to realize JIT green procurement. Because the supplier is in the upstream of the green supply chain, its protection of the environment and realization of leanness can be transmitted to all links of the company through the supply chain. Therefore, in green supply chain management, establishing a scientific and effective supplier evaluation and selection system and model has important theoretical and practical value. [0003] Regarding the selection method of suppliers, in recent decades, many scholars have carried out beneficial explorations from various asp...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/00G06N3/02
CPCG06Q10/08G06N3/02
Inventor 李杨宇李贵
Owner WUHU YANGYU ELECTROMECHANICAL TECH DEV
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