
Smart Factory Operation Management System and Innovation in the Era of Smart Manufacturing
- 1 Sinocanada, Wujiang, China, 215211
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Abstract
This study is dedicated to the innovative research of smart factory operation management systems in the era of smart manufacturing. Against the backdrop of the rapid evolution of the information revolution, smart manufacturing, represented by a new generation of information technologies such as mobile Internet, big data, and artificial intelligence, is rapidly emerging. As an information-physical fusion system, smart factories interpenetrate physical and virtual resources by interweaving multi-scale production systems, forming an open, complex giant system with multiple levels and dimensions. It is found that smart factories face a complex and variable structure, and their production and operations involve a large number of cross-domain, cross-industry, and cross-region manufacturing resources, requiring the establishment of a new operation management system framework and breakthroughs in key theories and methods. This study provides comprehensive and in-depth theoretical and technical support for constructing a smart factory operation management system. It lays the foundation for the smart upgrading of the manufacturing industry.
Keywords
Smart Manufacturing, Smart Factory, Operations Management System, Knowledge Innovation
[1]. Adams, R. (2010) Asking directors about their dual roles. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id¼1362339.
[2]. Ahern, K. R. (2017) Information networks: Evidence from illegal insider trading tips. Journal of Financial Economics, 125(1), 26–47.
[3]. Ajinkya, B., Bhojraj, S., & Sengupta, P. (2005) The association between outside directors, institutional investors and the properties of management earnings forecasts. Journal of Accounting Research, 43(3), 343–376.
[4]. Akbas, F., Meschke, F., & Wintoki, M. B. (2016) Director networks and informed traders. Journal of Accounting and Economics, 62(1), 1–23.
[5]. Akbas, F., Hann, R., Polat, F., & Subasi, M. (2018). Director networks and managerial response to non-fundamental price shocks. Retrieved from https://ssrn.com/abstract¼3016106.
[6]. Baik, B., Farber, D. B., & Lee, S. S. (2011). CEO ability and management earnings forecasts. Contemporary Accounting Research, 28(5), 1645–1668.
[7]. Baum, C. F. (2006). An Introduction to Modern Econometrics using Stata. College Station, TX: Stata Press.
[8]. Berkman, H., Koch, P., & Westerholm, P. J. (2020). Inside the director network: When directors trade or hold inside, interlock, and unconnected stocks. Journal of Banking and Finance, 118, 105892.
[9]. Beyer, A., Cohen, D. A., Lys, T. Z., & Walther, B. R. (2010). The financial reporting environment: Review of the recent literature. Journal of Accounting and Economics, 50(2-3), 296–343.
[10]. Bizjak, J., Lemmon, M., & Whitby, R. (2009). Option backdating and board interlocks. Review of Financial Studies, 22(11), 4821–4847.
Cite this article
Zhao,S. (2024). Smart Factory Operation Management System and Innovation in the Era of Smart Manufacturing. Advances in Economics, Management and Political Sciences,121,7-13.
Data availability
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Volume title: Proceedings of the 8th International Conference on Economic Management and Green Development
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