Application of AI technology in the current Chinese manufacturing industry
DOI:
https://doi.org/10.61173/dd32vz05Keywords:
Artificial intelligence, Manufacturing, Rhino factory, Flexible production, Digital transformationAbstract
Under rapid development of artificial intelligence technology, AI increasingly enters China’s manufacturing and is a powerful driving force to drive transformation and upgrading of industries. In consideration of this, taking Alibaba Rhino Factory for an example, in this article, specific use of AI technology in manufacturing and effectiveness will be discussed and analyzed and practice of demand forecasting, smart scheduling, flexible production and testing of quality in Rhino factory, and a conclusion will be drawn with a summary of AI technology’s important role in enhancing efficiency in manufacturing, cutting cost and model innovation, and explore current challenge and future development direction.
References
[1] Abdelaal, A. (2024) Machine learning in manufacturing: A comprehensive review. Journal of Advanced Manufacturing Systems, 15(2): 45–60.
[2] China Internet Network Information Center. (2023) Annual report on China’s manufacturing industry. CINIC Press, Beijing.
[3] China Smart Manufacturing Network. (2021) AI-driven transformation in Chinese manufacturing. CSMN Publications, Shanghai.
[4] Deloitte. (2018) The role of AI in modern manufacturing. Deloitte Insights.
[5] Nelson, R., Biddle, J. and Shapira, P. (2023) Artificial intelligence in global manufacturing: Trends and applications. International Journal of Production Research, 61(4): 789–805.
[6] New Economic Guide Journal. (2023) Challenges and opportunities in China’s manufacturing sector. New Economic Guide Journal, 12(3): 22–30.
[7] Shanghai Jiao Tong University. (2024) The evolution of smart manufacturing in China. SJTU Press, Shanghai.
[8] State Council of China. (2015) Made in China 2025: Strategic plan for manufacturing power. State Council of the People’s Republic of China, Beijing.
[9] Wang, L. (2019) AI platforms in global manufacturing: Case studies of GE and Siemens. Industrial Management & Data Systems, 119(8): 1675–1690.
[10] Abdelaal, M. (2024) AI in manufacturing: Market analysis and opportunities. Retrieved from https://arxiv.org/ abs/2407.05426
[11] China Smart Manufacturing Network. (2021) 2021 China AI application research report in industrial fields. Retrieved from https://pdf.dfcfw.com
[12] China Internet Network Information Center. (2023) China’s smart manufacturing industry development report (2023-2024). Retrieved from https://www.cnwsk.com
[13] Deloitte. (2018) The role of AI in modern manufacturing: Deloitte Artificial Intelligence Manufacturing Application Survey. Retrieved from https://www2.deloitte.com
[14] Nelson, J.P., Biddle, J.B. and Shapira, P. (2023) Applications and societal implications of artificial intelligence in manufacturing: A systematic review. Retrieved from https:// arxiv.org/abs/2308.02025
[15] Shanghai Jiao Tong University. (2024) The development of artificial intelligence in the manufacturing industry. Retrieved from https://www.acem.sjtu.edu.cn
[16] Wang, Y. (2019) Artificial intelligence in mechanical manufacturing industry. Retrieved from https://www.x-mol.com/ paper/1529424349434064902
[17] Chinese Academy of Social Sciences. (2023) Artificial intelligence and manufacturing servitization. Retrieved from https://niis.cssn.cn
[18] China Network Library. (2023) China’s smart manufacturing industry development report (2023-2024): AI empowers manufacturing transformation and upgrading. Retrieved from https://www.cnwsk.com
[19] New Economic Guide Journal. (2023) Scenario innovationdriven integration mechanism of artificial intelligence and manufacturing. Retrieved from https://nefi.develpress.com
[20] Alibaba Group. (2022) Xunxi Intelligent Manufacturing: A New Paradigm for Smart Manufacturing. China Manufacturing Journal.
[21] Wang, X. (2023) Research on the application of artificial intelligence in manufacturing. Industrial Economics Journal.
[22] Li, X. (2021) Development path of intelligent manufacturing under the background of “Made in China 2025”. Journal of Management Studies.
[23] Zhang, X. (2022) Flexible manufacturing models driven by big data and AI. Science and Technology Management Research.
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