Bibliometric study with statistical patterns of industry 4.0 applied to process control

• Published in: Journal of physics. Conference series 2024-03, Vol.2726 (1), p.12008
• Main Authors: Cruzado-Yesquén, K, Torres-Salazar, E, Alvarez-Vasquez, H, Saavedra-Ruíz, J, Castañeda-Hipólito, M, Gastiaburú-Morales, S, Barandiarán-Gamarra, J, Vásquez-Coronado, M, Alviz-Meza, A
• Format: Article
• Language: English
• Subjects: Bibliometrics; Data mining; Industry 4.0; Process controls; Statistical models
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2726/1/012008

Industries are interested in offering their products or services to the consumer using high standards in process control. Industry 4.0 has emerged as a series of technological tools that can be incorporated into various processes. This research aims to perform a bibliometric analysis of the application of Industry 4.0 in process control in different sectors from 2013 to 2022 through the Scopus and Web of Science databases. The data studied were extracted from the bibliographic information of citations, abstracts, and keywords published by the articles collected. These data were processed in RStudio. As a result, it was found that the most cited articles are deep and automatic learning. Both technologies aim to reduce anomalies, increasing product efficiency, reliability, and quality. The contribution of physics in this work is shown in data mining tools, such as Bibliometrix, whose foundation is given by mathematical and statistical models, to extract data useful for future scientific studies.