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Faculty of Technical Sciences, University of Novi Sad , Novi Sad , Serbia
Faculty of Technical Sciences, University of Novi Sad , Novi Sad , Serbia
The digital transformation of businesses is currently experiencing significant improvements, supported by the use of artificial intelligence. The manufacturing sector is being substantially transformed using emerging technologies. Consequently, the manufacturing environment has become more dynamic and complex, causing more interdependencies, uncertainties, and large amounts of data that should be processed and analysed. In this sense, artificial intelligence plays a crucial role in supporting data-driven decision-making, which is beneficial for the digitalization of manufacturing processes. The aim of this paper is to present a bibliometric analysis that comprehensively describes who the main contributors are and what the main streams of research are in the field of developing and implementing decision support systems based on artificial intelligence in manufacturing. The research findings should be a valuable resource for other academics interested in learning more about the most recent developments in the field. Furthermore, it opens possibilities for further research related to the development of intelligent decision support systems in manufacturing.
Manufacturing, Industry 4.0, Decision support systems, Artificial intelligence, Bibliometric Analysis
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