Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Research on intelligent scheduling method of power material supply chain based on entropy fuzzy matter-element model

Authors
Honghong Hu1, *, Yang Li2, Xin Zhao3
1Tianjin Puxun Power Information Technology Co., Tianjin, 300300, China
2State Grid Ningbo Electric Power Supply Company, Ningbo, 315000, China
3State Grid Zhejiang Electric Power Company, Hangzhou, 310000, China
*Corresponding author. Email: hbsihhh@163.com
Corresponding Author
Honghong Hu
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_5How to use a DOI?
Keywords
Direct fuzzy element model; material supply chain; and scheduling method
Abstract

Under the new situation of the vigorous development of power Internet of Things, the information blockage exposed by the traditional power grid material supply can be solved by digital technology. Firstly, the profit function of the participants in the direct electricity trading supply chain is constructed, and then the profit distribution model of the direct electricity trading supply chain is constructed by using the blockchain intelligent contract, and the interests are automatically matched and settled according to the distribution factors, so as to realize the optimization of the interests of each enterprise in the direct electricity trading supply chain and ensure the optimization of the interests of the whole supply chain, and a power material supplier evaluation model based on entropy weight analysis model and fuzzy matter-element model is proposed. It is verified that the model can effectively optimize and provide a new method for the selection of power material suppliers.

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 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_5
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_5How 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

risenwbib
TY  - CONF
AU  - Honghong Hu
AU  - Yang Li
AU  - Xin Zhao
PY  - 2023
DA  - 2023/12/04
TI  - Research on intelligent scheduling method of power material supply chain based on entropy fuzzy matter-element model
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 36
EP  - 45
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_5
DO  - 10.2991/978-94-6463-304-7_5
ID  - Hu2023
ER  -