ABSTRACT. Industry 4.0 and the resulting smart manufacturing are the nodes for the more efficient and productive production paradigms. In particular, within the realm of transformative technologies has evolved generative Artificial Intelligence (AI), which plays an essential role in the manufacturing industries, namely in predictive maintenance and production efficiency. This research aims to investigate how generative AI transforms predictive maintenance and production efficiency in smart factories, focusing on its implementation strategies, performance metrics, and impact on manufacturing outcomes. The study will examine both theoretical frameworks and practical applications, contributing to the growing body of knowledge in smart manufacturing and Industry 4.0 technologies.
JEL codes: O18; P25; Q01; Q56

Keywords: generative artificial intelligence; smart manufacturing; predictive maintenance; digital twin technology; Industrial Internet of Things; Industry 5.0

How to cite: Nica, E., Tufaner, M. B., Poliakova, A., Manole, C. (2023). “Revolutionizing Smart Factories: How Generative Artificial Intelligence Transforms Predictive Maintenance and Production Efficiency,” Journal of Self-Governance and Management Economics 11(4): 9–25. doi: 10.22381/jsme11420231.

Received 18 June 2023 • Received in revised form 17 December 2023
Accepted 27 December 2023 • Available online 29 December 2023