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With the digital transformation of traditional enterprises and the acceleration of modern supply chain construction, for power enterprises, the selection of high-quality suppliers is related to the safe and stable operation of the power grid. However, with the large number of suppliers of power enterprises and the large types of materials involved, there are various challenges in information and intelligent construction. This paper uses the portrait technology to extract the label information from the massive data for data analysis. It innovatively combines the portrait technology with the supplier management theory, designs the portrait system for power suppliers, and provides the path of label database construction and supplier evaluation system construction for the supplier evaluation of power enterprises.
Shen et al. (Tue,) studied this question.
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