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

Jiajing Zhang (), Ning Cui and Jiaming Zhang
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Jiajing Zhang: Liaoning Technical University, School of Business Administration
Ning Cui: Liaoning Technical University, School of Public Administration and Law
Jiaming Zhang: Hohai University, College of Water Conservancy and Hydropower Engineering

A chapter in Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), 2024, pp 87-101 from Springer

Abstract: 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.

Keywords: manufacturing; intelligent manufacturing; entropy weight-POSET theory (search for similar items in EconPapers)
Date: 2024
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DOI: 10.2991/978-94-6463-256-9_10

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