Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

Research on Synergy Effect of Enterprise Architecture Integration in Power Grid Industry from the Perspective of Value Stream

Authors
Qiugen Pei1, Li Zhang2, Zewu Peng3, Yunzhi Chen4, Yukun Huang5, *
1Guangdong Power Grid Co., Ltd, CSG, Guangzhou, Guangdong, 510180, China
2Jiangmen Power Supply Bureau, Guangdong Power Grid Co., Ltd, CSG, Jiangmen, Guangdong, 529030, China
3Information Center, Guangdong Power Grid Co., Ltd, CSG, Guangzhou, Guangdong, 510600, China
4Dongguan Power Supply Bureau, Guangdong Power Grid Co., Ltd, CSG, Dongguan, Guangdong, 523008, China
5Huizhou Power Supply Bureau, Guangdong Power Grid Co., Ltd, CSG, Huizhou, Guangdong, 510180, China
*Corresponding author. Email: 2971000743@qq.com
Corresponding Author
Yukun Huang
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_24How to use a DOI?
Keywords
Value stream perspective; Power grid industry; Enterprise architecture integration; Synergistic effect; multi-agent technology; Business structure; Data architecture; Application architecture; Technical architecture
Abstract

Influenced by the independent relationship between different organizational structures of enterprises, it is difficult to further improve the economic benefits from the perspective of value stream in the process of operation. Therefore, this paper puts forward a study on the synergistic effect of enterprise structure integration in power grid industry from the perspective of value stream. Fully considering the correlation between different components of power grid industry enterprises, a multi-level power grid industry enterprise architecture model is constructed by using multi-Agent technology. The problem of building an integrated collaborative mechanism of enterprise architecture in power grid industry is transformed into an optimization problem of enterprise architecture model in power grid industry. From the perspectives of business architecture, data architecture, application architecture and technical architecture, the mechanism of business interaction and data flow among enterprises in power grid industry is established to realize the integrated collaboration of enterprise architecture in power grid industry. In the test results, the economic benefits of the value stream of the tested power enterprises have been significantly improved.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 December 2023
ISBN
978-94-6463-326-9
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_24How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Qiugen Pei
AU  - Li Zhang
AU  - Zewu Peng
AU  - Yunzhi Chen
AU  - Yukun Huang
PY  - 2023
DA  - 2023/12/30
TI  - Research on Synergy Effect of Enterprise Architecture Integration in Power Grid Industry from the Perspective of Value Stream
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 224
EP  - 231
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_24
DO  - 10.2991/978-94-6463-326-9_24
ID  - Pei2023
ER  -