ABSTRACT. This research considers the impact of generative Artificial Intelligence (AI) technologies on complex industrial process workflows within intelligent manufacturing ecosystems. The research particularly looks at new technologies and the globalization of these technologies in different manufacturing industries, taking cognizance of both advantages and disadvantages. By extensive literature review and data mining, the authors demonstrate that those who have implemented AI solutions for their manufacturing processes are getting many benefits. The paper also emphasizes the opportunities of generative AI convergence with existing and new manufacturing technologies. The results describe how generative AI might eventually improve the systems and what issues they would face in the adoption phase. Understanding integration can be achieved if both organizational preparedness and available technological assets are harmonized, thus laying out the groundwork for future advancements in intelligent manufacturing ecosystems.
JEL codes: O18; P25; Q01; Q56

Keywords: generative artificial intelligence; intelligent manufacturing ecosystems; industrial process optimization; digital twin technology; smart manufacturing; Industry 4.0 integration

How to cite: Popescu, G. H., Bogdan, A., Erokhin, V., Subić, J. (2023). “Intelligent Manufacturing Ecosystems: Generative Artificial Intelligence’s Role in Optimizing Complex Industrial Process Workflows,” Journal of Self-Governance and Management Economics 11(4): 26–43. doi: 10.22381/jsme11420232.

Received 24 June 2023 • Received in revised form 19 December 2023
Accepted 28 December 2023 • Available online 29 December 2023