Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

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A BITM Based Operation Performance Evaluation Approach for Regional Electric Power Material Supply Chain

Authors
Bin Li1, *, Xiaohan Wu1, Muzi Che1, Ziyi Li1, Qin Wang1
1State Grid Hubei Electric Power Co., Ltd. Material Company (State Grid Hubei Tendering Co., Ltd.), Wuhan, Hubei, 43014, China
*Corresponding author. Email: 472318985@qq.com
Corresponding Author
Bin Li
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_31How to use a DOI?
Keywords
TOPSIS; Power Material Supply Chain; Entropy Weight; Performance Evaluation
Abstract

The traditional subjective weighting method used in the comprehensive evaluation of electric power material supply chain usually requires experts to carry out multiple evaluations. The evaluation standard is vague and subjective. Aiming at the above problems, taking 14 cities in Hubei Province as the research object, we firstly constructed an evaluation framework including five major capabilities, and then calculated the weights by using entropy weight method and ordering relation method respectively. Then we evaluated the operational performance of the power material supply chain based on the Business Information TOPSIS Model (BITM) with 20 dynamic indicators and proved the feasibility and validity of the method through empirical evidence and comparative analysis. Finally, based on the results of the study, we proposed that the operational performance of the electric power material supply chain can be improved by improving the supply chain basic capability and risk prevention & control capability.

Copyright
© 2024 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 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_31How to use a DOI?
Copyright
© 2024 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  - Bin Li
AU  - Xiaohan Wu
AU  - Muzi Che
AU  - Ziyi Li
AU  - Qin Wang
PY  - 2024
DA  - 2024/11/22
TI  - A BITM Based Operation Performance Evaluation Approach for Regional Electric Power Material Supply Chain
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 297
EP  - 305
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_31
DO  - 10.2991/978-94-6463-570-6_31
ID  - Li2024
ER  -