Abstract
In China, the rapid development of the digital economy has brought transformation opportunities to innovative manufacturing enterprises. New-generation information technologies such as big data, 5G, and artificial intelligence provide powerful tools for transforming digital intelligence and upgrading innovative manufacturing enterprises. In this paper, the concept and characteristics of innovative manufacturing enterprises are introduced, and the economic transformation process of innovative manufacturing enterprises is divided into five main stages. Secondly, from the data-driven perspective, starting from the development needs of innovative manufacturing enterprises, a digital intelligence platform and data mining framework are built for them. Finally, the transformation countermeasures of innovative manufacturing enterprises are given. This paper helps the innovative manufacturing enterprises scientifically complete the transformation and upgrading from digitization to digital intelligence. It provides a new perspective and ideas for the deep integration of the digital economy and real economies’ deep integration.
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References
Chinese government network: The 14th five year plan for national economic and social development of the People’s Republic of China and the outline of long-term objectives for 2035 (2021). http://www.gov.cn/xinwen/2021-03/13/content_5592681.htm
CCID think tank. Research on digital transformation of traditional enterprises in the development of new business formats and models of digital economy. China Information Weekly (2020)
Cao, Y., Jiang, H.: Comparative analysis of China’s equipment manufacturing enterprises and world-class enterprises based on case study. In: 2021 2nd International Conference on E-Commerce and Internet Technology (ECIT) (03), pp. 79–82 (2021)
Dumitrache, I., Caramihai, S., Stanescu, A.: From mass production to intelligent cyber-enterprise. In: 19th International Conference on Control Systems and Computer Science (CSCS) (05), pp. 399–404 (2013)
MejĂa, G., Lefebvre, D.: Robust scheduling of flexible manufacturing systems with unreliable operations and resources. Int. J. Prod. Res. 58(21), 6474–6492 (2020)
Serrasqueiro, M., Martins, R., Ferreira, H.: Modeling system based on machine learning approaches for predictive maintenance applications. KnE Eng. 06, 857–871 (2020)
Wang, W.: Digital intelligence drives business innovation. Manager 5(322), 10–12 (2021)
Wang, J.: Analysis on the regular characteristics and development path of digital transformation. In: Huawei Ecological Conference, Shenzhen, 17–18 May 2021
Chen, J.: Big data and China’s economic transformation and upgrading. Econ. Forum 3(584), 26–32 (2019)
Zhang, L.: Seizing the opportunity of industrial technological change and accelerating the digital transformation of manufacturing industry. China electronic news, 18 May 2021
Jiang, J.: Intelligent development mode and countermeasures of intelligent manufacturing industry. Light Ind. Sci. Technol. 35(9), 149–150+152 (2019)
Li, L., Shi, A., Liu, J.: 40 years of China’s manufacturing industry: intelligent process and prospect. China Soft Sci. (01), 1–9+30 (2019)
Pan, Y., Li, M., Li, X.: Analysis on association rules of influencing factors of shipbuilding cost. J. Wuhan Univ. Technol. (Inf. Manage. Eng. Edn.) 39(03), 353–358 (2017)
Wei, W., Chen, Z., Yuan, J.: A product process adaptive design method based on manufacturing big data. China Eng. Sci. 22(04), 42–49 (2020)
Guo, H., Zhang, R., Zhu, Y., et al.: Sustainable quality control mechanism of heavy truck production process for Plant-wide production process. Int. J. Prod. Res. 58(24), 7548–7564 (2020)
Zhou, Y., Wu, K., Sun, Y., et al.: Fault diagnosis of refrigeration equipment based on data mining and information fusion. Vib. Test Diagn. 41(02), 392–398+418 (2021)
Ma, M., Pan, S.: Overview of supplier portrait research based on data mining. Wirel. Commun. Technol. 29(04), 55–60 (2020)
Xi, J.: Encyclopedia Dictionary of Scientific Outlook on Development. Shanghai Dictionary Publishing House, Shanghai (2007)
Acknowledgment
This work was supported by the grants of the Heilongjiang Social Science (Evolution path and development countermeasures of big data industry ecosystem in Heilongjiang Province: 20JYB037).
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Li, Y., Zhai, L., Yang, C., Liu, K. (2022). Research on the Countermeasures of Digital Intelligence Transformation and Upgrading of Innovative Manufacturing Enterprises. In: Hassanien, A.E., Xu, Y., Zhao, Z., Mohammed, S., Fan, Z. (eds) Business Intelligence and Information Technology. BIIT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-030-92632-8_11
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DOI: https://doi.org/10.1007/978-3-030-92632-8_11
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