State of Industry 5.0—Analysis and Identification of Current Research Trends

Aditya Akundi; Daniel Euresti; Sergio Luna; Wilma Ankobiah; Amit Lopes; Immanuel Edinbarough

doi:10.3390/asi5010027

Applied System Innovation (Feb 2022)

State of Industry 5.0—Analysis and Identification of Current Research Trends

Aditya Akundi,
Daniel Euresti,
Sergio Luna,
Wilma Ankobiah,
Amit Lopes,
Immanuel Edinbarough

Affiliations

Aditya Akundi: Complex Engineering Systems Laboratory, Department of Informatics and Engineering Systems, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
Daniel Euresti: Complex Engineering Systems Laboratory, Department of Informatics and Engineering Systems, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
Sergio Luna: Industrial Manufacturing and Systems Engineering Department, The University of Texas at El Paso, El Paso, TX 79968, USA
Wilma Ankobiah: Complex Engineering Systems Laboratory, Department of Manufacturing and Industrial Engineering, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
Amit Lopes: Industrial Manufacturing and Systems Engineering Department, The University of Texas at El Paso, El Paso, TX 79968, USA
Immanuel Edinbarough: Complex Engineering Systems Laboratory, Department of Informatics and Engineering Systems, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA

DOI: https://doi.org/10.3390/asi5010027
Journal volume & issue: Vol. 5, no. 1
p. 27

Abstract

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The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of automation for operational productivity and efficiency by connecting virtual and physical worlds in an industry. With Industry 4.0 being unable to address and meet increased drive of personalization, the term Industry 5.0 was coined for addressing personalized manufacturing and empowering humans in manufacturing processes. The onset of the term Industry 5.0 is observed to have various views of how it is defined and what constitutes the reconciliation between humans and machines. This serves as the motivation of this paper in identifying and analyzing the various themes and research trends of what Industry 5.0 is using text mining tools and techniques. Toward this, the abstracts of 196 published papers based on the keyword “Industry 5.0” search in IEEE, science direct and MDPI data bases were extracted. Data cleaning and preprocessing were performed for further analysis to apply text mining techniques of key terms extraction and frequency analysis. Further topic mining i.e., unsupervised machine learning method was used for exploring the data. It is observed that the terms artificial intelligence (AI), big data, supply chain, digital transformation, machine learning, internet of things (IoT), are among the most often used and among several enablers that have been identified by researchers to drive Industry 5.0. Five major themes of Industry 5.0 addressing, supply chain evaluation and optimization, enterprise innovation and digitization, smart and sustainable manufacturing, transformation driven by IoT, AI, and Big Data, and Human-machine connectivity were classified among the published literature, highlighting the research themes that can be further explored. It is observed that the theme of Industry 5.0 as a gateway towards human machine connectivity and co-existence is gaining more interest among the research community in the recent years.

Published in Applied System Innovation

ISSN: 2571-5577 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
Website: https://www.mdpi.com/journal/asi

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