Issue |
E3S Web Conf.
Volume 257, 2021
5th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|
|
---|---|---|
Article Number | 02007 | |
Number of page(s) | 4 | |
Section | Research on Energy Consumption and Energy Industry Benefit | |
DOI | https://doi.org/10.1051/e3sconf/202125702007 | |
Published online | 12 May 2021 |
Research on Power Enterprise Supplier Management System Based on Supplier Deep Portrait
1
Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University Beijing, China
2
College of Transportation, Beijing Jiaotong University Beijing, China
3
College of Transportation, Beijing Jiaotong University Beijing, China
4
College of Transportation, Beijing Jiaotong University Beijing, China
5
College of Transportation, Beijing Jiaotong University Beijing, China
a* mrshen@bjtu.edu.cn
b 20120987@bjtu.edu.cn
c 18251238@bjtu.edu.cn
d 18271077@bjtu.edu.cn
e 18251072@bjtu.edu.cn
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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