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

journal article Open Access Feb 17, 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

Applied System Innovation Vol. 5 No. 1 pp. 27 · MDPI AG

View at Publisher Save 10.3390/asi5010027

Abstract

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.

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References

71

[1]

Nahavandi, S. (2019). Industry 5.0—A human-centric solution. Sustainability, 11. 10.3390/su11164371

[2]

Vinitha "Review on industrial mathematics and materials at Industry 1.0 to Industry 4.0" Mater. Today Proc. (2020) 10.1016/j.matpr.2020.06.331

[3]

Madsen, E.S., Bilberg, A., and Hansen, D.G. (2016, January 6–10). Industry 4.0 and digitalization call for vocational skills, applied industrial engineering, and less for pure academics. Proceedings of the 5th P&OM World Conference, Production and Operations Management, P&OM, Havana, Cuba.

[4]

Rada, M. (2022, February 03). Industry 5.0-from Virtual to Physical. Available online: https://www.linkedin.com/pulse/industry-50-from-virtual-physical-michael-rada.

[5]

Skobelev "On the way from Industry 4.0 to Industry 5.0: From digital manufacturing to digital society" Industry 4.0 (2017)

[6]

Müller, J. (2020). Enabling Technologies for Industry 5.0: Results of a Workshop with Europe’s Technology Leaders, European Commission.

[7]

Østergaard, E.H. (2022, February 03). Welcome to Industry 5.0. Available online: https://info.universal-robots.com/hubfs/Enablers/White%20papers/Welcome%20to%20Industry%205.0_Esben%20%C3%98stergaard.pdf?submissionGuid=00c4d11f-80f2-4683-a12a-e821221793e3.

[8]

Industry 4.0 – A Glimpse

Saurabh Vaidya, Prashant Ambad, Santosh Bhosle

Procedia Manufacturing 2018 10.1016/j.promfg.2018.02.034

[9]

Madsen Øivind, D., and Berg, T. (2021). An Exploratory Bibliometric Analysis of the Birth and Emergence of Industry 5. Appl. Syst. Innov., 4. 10.3390/asi4040087

[10]

Text Analysis in R

Kasper Welbers, Wouter Van Atteveldt, Kenneth Benoit

Communication Methods and Measures 2017 10.1080/19312458.2017.1387238

[11]

Hearst "What is text mining" SpringerPlus (2016)

[12]

Feng, L., Chiam, Y.K., and Lo, S.K. (2017, January 4–8). Text-Mining Techniques and Tools for Systematic Literature Reviews: A Systematic Literature Review. Proceedings of the 2017 24th Asia-Pacific Software Engineering Conference (APSEC), Nanjing, China. 10.1109/apsec.2017.10

[13]

Bach, M.P., Krstić, Ž., Seljan, S., and Turulja, L. (2019). Text Mining for Big Data Analysis in Financial Sector: A Literature Review. Sustainability, 11. 10.3390/su11051277

[14]

Aureli "A comparison of content analysis usage and text mining in CSR corporate disclosure" Int. J. Digit. Account. Res. (2017) 10.4192/1577-8517-v17_1

[15]

Namugera "Text mining and determinants of sentiments: Twitter social media usage by tradi-tional media houses in Uganda" Comput. Soc. Netw. (2019) 10.1186/s40649-019-0063-4

[16]

Akundi "Model based systems engineering—A text mining based structured comprehensive overview" Syst. Eng. (2021) 10.1002/sys.21601

[17]

Wiedemann, G., and Niekler, A. (2021, November 10). Hands-On: A Five Day Text Mining Course for Humanists and Social Scientists in R. Available online: http://ceur-ws.org/Vol-1918/wiedemann.pdf.

[18]

Christian "Single document automatic text summarization using term frequency-inverse document frequency (TF-IDF)" ComTech Comput. Math. Eng. Appl. (2016)

[19]

Neto, J.L., Santos, A.D., Kaestner, C.A.A., Alexandre, N., Santos, D., Celso, A.A., Alex, K., Freitas, A.A., and Parana, C. (2021, November 10). Document Clustering and Text Summarization. Available online: https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.43.4634.

[20]

Melnyk "The effect of industrial revolutions on the transformation of social and economic systems" Probl. Perspect. Manag. (2019)

[21]

Haleem "Industry 5.0 and its applications in orthopedics" J. Clin. Orthop. Trauma (2019) 10.1016/j.jcot.2018.12.010

[22]

Frederico, G.F. (2021). From supply chain 4.0 to supply chain 5.0: Findings from a systematic literature review and research direc-tions. Logistics, 5. 10.3390/logistics5030049

[23]

Aslam, F., Aimin, W., Li, M., and Rehman, K.U. (2020). Innovation in the Era of IoT and Industry 5.0: Absolute Innovation Management (AIM) Framework. Information, 11. 10.3390/info11020124

[24]

Gorodetsky "Conceptual Model of Digital Platform for Enterprises of Industry 5.0." Proceedings of the Foundations of Computational Intelligence (2020)

[25]

Liu "An overview of topic modeling and its current applications in bioinformatics" SpringerPlus (2016) 10.1186/s40064-016-3252-8

[26]

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

Hamed Jelodar, Yongli Wang, Chi Yuan et al.

Multimedia Tools and Applications 2019 10.1007/s11042-018-6894-4

[27]

Sazvar "A capacity planning approach for sustainable-resilient supply chain network design under uncertainty: A case study of vaccine supply chain" Comput. Ind. Eng. (2021) 10.1016/j.cie.2021.107406

[28]

Guo, Q., Yu, H., Dan, Z., and Li, S. (2021). Mining Method Optimization of Gently Inclined and Soft Broken Complex Ore Body Based on AHP and TOPSIS: Taking Miao-Ling Gold Mine of China as an Example. Sustainability, 13. 10.3390/su132212503

[29]

Mizrahi, D., Zuckerman, I., and Laufer, I. (2020). Using a Stochastic Agent Model to Optimize Performance in Divergent Interest Tacit Coordination Games. Sensors, 20. 10.3390/s20247026

[30]

Barata "The fourth industrial revolution of supply chains: A tertiary study" J. Eng. Technol. Manag. (2021) 10.1016/j.jengtecman.2021.101624

[31]

Digital transformation of industrial businesses: A dynamic capability approach

Swapan Ghosh, Mat Hughes, Ian Hodgkinson et al.

Technovation 10.1016/j.technovation.2021.102414

[32]

Anguelov, K. (2021, January 27–28). Indicators for the Effectiveness and Efficiency of the Implementation of an Enterprise Resource Planning System. Proceedings of the 2021 12th National Conference with International Participation (ELECTRONICA), Sofia, Bulgaria. 10.1109/electronica52725.2021.9513729

[33]

Khurana "Now is the time to press the reset button: Helping India’s companies to become more resilient and effective in overcoming the impacts of COVID-19, climate changes and other crises" J. Clean. Prod. (2021) 10.1016/j.jclepro.2020.124466

[34]

Industry 5.0: A survey on enabling technologies and potential applications

Praveen Kumar Reddy Maddikunta, Quoc-Viet Pham, Prabadevi B et al.

Journal of Industrial Information Integration 10.1016/j.jii.2021.100257

[35]

Deepu "A conceptual framework for supply chain digitalization using integrated systems model approach and DIKW hierarchy" Intell. Syst. Appl. (2021)

[36]

Critical Success Factors of the Project Management in Relation to Industry 4.0 for Sustainability of Projects

Jaroslav Vrchota, Petr Řehoř, Monika Maříková et al.

Sustainability 10.3390/su13010281

[37]

Impact of Entrepreneurial Leadership on Product Innovation Performance: Intervening Effect of Absorptive Capacity, Intra-Firm Networks, and Design Thinking

Khaliq Ur Rehman, Farhan Aslam, Mário Nuno Mata et al.

Sustainability 10.3390/su13137054

[38]

Petersen, J.A., Paulich, J.B., Khodakarami, F., Spyropoulou, S., and Kumar, V. Customer-based Execution Strategy in a Global Digital Economy. Int. J. Res. Mark., 2021. in press.

[39]

"What kind of innovation policy does the bioeconomy need?" New Biotechnol. (2018) 10.1016/j.nbt.2017.04.003

[40]

Cricelli, L., and Strazzullo, S. (2021). The Economic Aspect of Digital Sustainability: A Systematic Review. Sustainability, 13. 10.3390/su13158241

[41]

Ghobakhloo "Industry 4.0 ten years on: A bibliometric and systematic review of concepts, sustainability value drivers, and success determinants" J. Clean. Prod. (2021) 10.1016/j.jclepro.2021.127052

[42]

Narula "Applicability of industry 4.0 technologies in the adoption of global reporting initiative standards for achieving sustainability" J. Clean. Prod. (2021) 10.1016/j.jclepro.2021.127141

[43]

Kalsoom, T., Ahmed, S., Rafi-Ul-Shan, P.M., Azmat, M., Akhtar, P., Pervez, Z., Imran, M.A., and Ur-Rehman, M. (2021). Impact of IoT on Manufacturing Industry 4.0: A New Triangular Systematic Review. Sustainability, 13. 10.3390/su132212506

[44]

Potocan, V. (2021). Technology and Corporate Social Responsibility. Sustainability, 13. 10.3390/su13158658

[45]

Bellandi, M., and De Propris, L. (2021). Local Productive Systems’ Transitions to Industry 4.0+. Sustainability, 13. 10.3390/su132313052

[46]

Sustainable and Smart Manufacturing: An Integrated Approach

Mohamed Abubakr, Adel T. Abbas, Italo Tomaz et al.

Sustainability 10.3390/su12062280

[47]

Massaro, A. (2021). Information Technology Infrastructures Supporting Industry 5.0 Facilities. Electronics in Advanced Research Industries, Wiley-IEEE Press. 10.1002/9781119716907.ch2

[48]

Coito "Intelligent Sensors for Real-Time Decision-Making" Automation (2021) 10.3390/automation2020004

[49]

Shariati "Enabling intelligent Mg-sheet processing utilizing efficient machine-learning algorithm" Mater. Sci. Eng. A (2020) 10.1016/j.msea.2020.139846

[50]

Yin "A review of machine learning for new generation smart dispatch in power systems" Eng. Appl. Artif. Intell. (2020) 10.1016/j.engappai.2019.103372

Showing 50 of 71 references

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Details

Published: Feb 17, 2022
Vol/Issue: 5(1)
Pages: 27
License: View

Authors

A

Aditya Akundi

Complex Engineering Systems Laboratory, Department of Informatics and Engineering Systems, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA

D

Daniel Euresti

Complex Engineering Systems Laboratory, Department of Informatics and Engineering Systems, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA

S

Sergio Luna

Industrial Manufacturing and Systems Engineering Department, The University of Texas at El Paso, El Paso, TX 79968, USA

W

Wilma Ankobiah

Complex Engineering Systems Laboratory, Department of Manufacturing and Industrial Engineering, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA

A

Amit Lopes

Industrial Manufacturing and Systems Engineering Department, The University of Texas at El Paso, El Paso, TX 79968, USA

I

Immanuel Edinbarough

Complex Engineering Systems Laboratory, Department of Informatics and Engineering Systems, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA

Cite This Article

Aditya Akundi, Daniel Euresti, Sergio Luna, et al. (2022). State of Industry 5.0—Analysis and Identification of Current Research Trends. Applied System Innovation, 5(1), 27. https://doi.org/10.3390/asi5010027

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

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