Analysis of the Path for Wanzhou District to Empower Manufacturing Upgrades with ‘Artificial Intelligence’

Haozhou Yan; Shaolin Li; Zhengjie Peng; Gang Song; Bing Tu

doi:10.2991/978-94-6239-787-3_74

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Analysis of the Path for Wanzhou District to Empower Manufacturing Upgrades with ‘Artificial Intelligence’

Authors

Haozhou Yan¹^{, 2}, Shaolin Li¹^{, *}, Zhengjie Peng¹, Gang Song¹, Bing Tu¹

¹Chongqing Three Gorges Vocational College, City Chong Qing, 404100, China

²Xinxing Vocational and Technical College, City XinXing, 839000, China

^*Corresponding author. Email: 2022210726@cqsxzy.edu.cn

Corresponding Author

Shaolin Li

Available Online 29 September 2026.

DOI: 10.2991/978-94-6239-787-3_74 How to use a DOI?
Keywords: Artificial Intelligence; Manufacturing upgrade; Gray Relational Analysis Method
Abstract: This paper takes the manufacturing industry in Wanzhou District, Chongqing Municipality as the research object, and uses a combination of grey relational analysis and benchmark regression models to establish a two-stage method and build an empirical analysis model. Based on this, three paths are proposed: increasing investment in intelligent technological transformation, expanding industrial AI applications, increasing R&D investment and making good use of subsidies, while improving information infrastructure, narrowing the urban-rural gap, and coordinating multiple parties to build a local ‘artificial intelligence + manufacturing’ upgrade system. Peed of both single-loop and multi-loop routing problems while maintaining small errors.
Copyright: © 2026 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 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
Series: Advances in Economics, Business and Management Research
Publication Date: 29 September 2026
ISBN: 978-94-6239-787-3
ISSN: 2352-5428
DOI: 10.2991/978-94-6239-787-3_74 How to use a DOI?
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

ris enw bib

TY  - CONF
AU  - Haozhou Yan
AU  - Shaolin Li
AU  - Zhengjie Peng
AU  - Gang Song
AU  - Bing Tu
PY  - 2026
DA  - 2026/09/29
TI  - Analysis of the Path for Wanzhou District to Empower Manufacturing Upgrades with ‘Artificial Intelligence’
BT  - Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
PB  - Atlantis Press
SP  - 759
EP  - 773
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-787-3_74
DO  - 10.2991/978-94-6239-787-3_74
ID  - Yan2026
ER  -

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