Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

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Evaluation of Intelligent Level of Regional Manufacturing Industry Based on Entropy Weight-Partial Ordered Set Theory

Authors
Jiajing Zhang1, *, Ning Cui2, Jiaming Zhang3
1School of Business Administration, Liaoning Technical University, Fuxin, China
2School of Public Administration and Law, Liaoning Technical University, Fuxin, China
3College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China
*Corresponding author. Email: 2672319729@qq.com
Corresponding Author
Jiajing Zhang
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_10How to use a DOI?
Keywords
manufacturing; intelligent manufacturing; entropy weight-POSET theory
Abstract

Aiming at the problem that the evaluation results are not robust and credibility is low due to the disputes over the weights of evaluation indexes in the existing intelligent evaluation of manufacturing industry, a regional intelligent manufacturing level evaluation model based on entropy weight and POSET theory was proposed. Firstly, the evaluation model is constructed based on POSET theory, and the entropy weight method is adopted to determine the importance degree of evaluation indicators. Secondly, using the data of 30 provinces from 2015 to 2019, Hasse graph is constructed. The results show that the eastern region has the highest level of intelligent manufacturing and the most stable development. The intelligence level of the central region is in a medium position and its development is relatively stable. The intelligence level of the western region is at the bottom and its development is relatively unstable. The intelligence level of northeast China is in the middle and lower position, and its development is the most unstable. Finally, in view of the large gap among the four regions in the intelligent level of manufacturing industry, put forward to strengthen the strategic overall planning, optimize the distribution of resources, narrow the regional intelligent gap.

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 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-256-9_10
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_10How 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  - Jiajing Zhang
AU  - Ning Cui
AU  - Jiaming Zhang
PY  - 2023
DA  - 2023/10/09
TI  - Evaluation of Intelligent Level of Regional Manufacturing Industry Based on Entropy Weight-Partial Ordered Set Theory
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 87
EP  - 101
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_10
DO  - 10.2991/978-94-6463-256-9_10
ID  - Zhang2023
ER  -