Early Warning Systems in Industry 4.0: A Bibliometric and Topic Analysis

Tine Bertoncel and Maja Meško
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Tine Bertoncel: University of Primorska, Koper, Slovenia
Maja Meško: University of Primorska, Koper, Slovenia

International Journal of E-Services and Mobile Applications (IJESMA), 2019, vol. 11, issue 2, 56-70

Abstract: This article is based on a literature search, using the keywords: Industry 4.0, smart manufacturing, smart factory, early warning systems and decision making in the Web-of-Science (WoS) database. The authors conducted a bibliometric and topic analysis that covered the year of publication, country of publication and the frequency with which authors, institutions/organizations, journals and phrases appeared in the literature. Based on the research, it was found that research on EWS in Industry 4.0 mainly focused on predictive maintenance. Security threats, workplace safety and managerial early warning systems (MEWS) were also present in the literature on EWS, however to a much lesser degree. The article concludes by discussing the importance of this bibliometric study within the context of MEWS in Industry 4.0 and Industry 4.0 in general.

Date: 2019
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