Artículo

Challenges and Opportunities in the Implementation of AI in Manufacturing: A Bibliometric Analysis

Resumen

This study explores the evolution and impact of research on the challenges and opportunities in the implementation of artificial intelligence (AI) in manufacturing between 2019 and August 2024. By addressing the growing integration of AI technologies in the manufacturing sector, the research seeks to provide a comprehensive view of how AI applications are transforming production processes, improving efficiency, and opening new business opportunities. A bibliometric analysis was conducted, examining global scientific production, influential authors, key sources, and thematic trends. Data were collected from Scopus, and a detailed review of key publications was carried out to identify knowledge gaps and unresolved research questions. The results reveal a steady increase in research related to AI in manufacturing, with a strong focus on automation, predictive maintenance, and supply chain optimization. The study also highlights the dominance of certain institutions and key authors driving this field of research. Despite the progress, significant challenges remain, particularly regarding the scalability of AI solutions and ethical considerations. The findings suggest that while AI holds considerable potential for the manufacturing industry, more interdisciplinary research is needed to address existing gaps and maximize its benefits.
Yang, XiaoJu (57718684600); Wu, FaSi (35796375200); Li, Long (59156458300); Guo, QingLin (59156066300); Yu, ZongRen (57191979536); Chen, SongCong (59156328500); Zhao, XueYong (7407575784)
Bibliometric analysis of the status and trend of biological soil crusts research from 1912 to 2023
2024
10.1016/j.rcar.2024.05.001
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195180300&doi=10.1016%2fj.rcar.2024.05.001&partnerID=40&md5=8a76cb7e7c025a40ff586f37e554f9a4
Naiman Desertification Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Gansu, Lanzhou, 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China; National Research Center for Conservation of Ancient Wall Paintings and Earthen Sites, Dunhuang Academy, Gansu, Dunhuang, 736200, China; Gansu Provincial Research Center for Conservation of Dunhuang Cultural Heritage, Gansu, Dunhuang, 736200, China; Cultural Heritage Conservation and Design Consulting Co., Ltd. of Mogao Grottoes, Gansu, Dunhuang, 736200, China
All Open Access; Hybrid Gold Open Access
Scopus
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