Research on Power Enterprise Supplier Management System Based on Supplier Deep Portrait

In current supplier management business status of power enterprises, exists many common pain points, such as weak supplier data management, weak risk management awareness. With the intention of solving these problems, this research proposes a deep portrait system of suppliers of power enterprises by...

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Main Authors: Shen Mengru, Pang Xiaoran, Chen Tong, Tang Lei, Wan Hui
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_02007.pdf
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author Shen Mengru
Pang Xiaoran
Chen Tong
Tang Lei
Wan Hui
author_facet Shen Mengru
Pang Xiaoran
Chen Tong
Tang Lei
Wan Hui
author_sort Shen Mengru
collection DOAJ
description In current supplier management business status of power enterprises, exists many common pain points, such as weak supplier data management, weak risk management awareness. With the intention of solving these problems, this research proposes a deep portrait system of suppliers of power enterprises by constructing full information database of suppliers, establishing a comprehensive evaluation index system of suppliers, and building a supplier label library. With the application of this system, this paper designs the business mechanism optimization scheme of the whole life cycle auxiliary management, which includes supplier qualification and performance verification, professional performance evaluation, market performance insight and risk control. This system proposed is of great significance to improve the lean level and informatization process of supplier management in power enterprises.
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spelling doaj.art-30beceb503194557910b7370999453b62022-12-21T19:45:38ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012570200710.1051/e3sconf/202125702007e3sconf_aesee2021_02007Research on Power Enterprise Supplier Management System Based on Supplier Deep PortraitShen Mengru0Pang Xiaoran1Chen Tong2Tang Lei3Wan Hui4Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong UniversityCollege of Transportation, Beijing Jiaotong UniversityCollege of Transportation, Beijing Jiaotong UniversityCollege of Transportation, Beijing Jiaotong UniversityCollege of Transportation, Beijing Jiaotong UniversityIn current supplier management business status of power enterprises, exists many common pain points, such as weak supplier data management, weak risk management awareness. With the intention of solving these problems, this research proposes a deep portrait system of suppliers of power enterprises by constructing full information database of suppliers, establishing a comprehensive evaluation index system of suppliers, and building a supplier label library. With the application of this system, this paper designs the business mechanism optimization scheme of the whole life cycle auxiliary management, which includes supplier qualification and performance verification, professional performance evaluation, market performance insight and risk control. This system proposed is of great significance to improve the lean level and informatization process of supplier management in power enterprises.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_02007.pdf
spellingShingle Shen Mengru
Pang Xiaoran
Chen Tong
Tang Lei
Wan Hui
Research on Power Enterprise Supplier Management System Based on Supplier Deep Portrait
E3S Web of Conferences
title Research on Power Enterprise Supplier Management System Based on Supplier Deep Portrait
title_full Research on Power Enterprise Supplier Management System Based on Supplier Deep Portrait
title_fullStr Research on Power Enterprise Supplier Management System Based on Supplier Deep Portrait
title_full_unstemmed Research on Power Enterprise Supplier Management System Based on Supplier Deep Portrait
title_short Research on Power Enterprise Supplier Management System Based on Supplier Deep Portrait
title_sort research on power enterprise supplier management system based on supplier deep portrait
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/33/e3sconf_aesee2021_02007.pdf
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