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