Application of Artificial Intelligence and Machine Learning in Manufacturing Industry : A Bibliometric Study

Abstract

Purpose: The use of machine learning (ML) and artificial intelligence (AI) in the manufacturing industries is covered in-depth in this paper's bibliometric examination of the literature. Methodology: The authors of this study analyzed a dataset of 3,597 papers published between 2003 and 2023 using bibliometric techniques. Using Vosviewer, they primarily focused on performance analysis and scientific mapping of articles. In order to narrow down the scope of the study, authors performed a keyword search on the official publisher websites and in academic databases like Scopus, ACM etc. Findings: This study gave a quick overview of AI and ML in the manufacturing industry and the trends in publications over the last twenty years. It revealed that “Artificial Intelligence” was the highly used keyword amongst all the papers, with a total occurrence of 2342 and a total link strength of “19448”. The analysis observed that country “China” has done the most publications in the field and stood at first rank with 594 publications to its credit. Research results also concluded that the National Natural Science Foundation of China has sponsored maximum publications. Additionally, the analysis revealed that highest number of publications, i.e., 2290, are undertaken in engineering domain. Practical implications: A new type of intelligent manufacturing and sustainable manufacturing will be powered by artificial intelligence and machine learning, or AI/ML. Sustainable manufacturing encompasses all aspects of a sustainable process, from supply chain management to quality control, predictive maintenance, and energy consumption. This study will help scientists and researchers in the field of AI and ML with future research. Originality/value: AI and ML have been used to make a lot of different things happen, like optimizing processes, making things in factories, and predicting how things will turn out. This analysis would provide a comprehensive overview of the major developments in AI and ML over the years. It is a more comprehensive and thorough process due to the techniques employed.