Acta Mechanica Slovaca 2024, 28(1):46-51 | DOI: 10.21496/ams.2024.009

Unlocking Industry Potential: The Evolution and Impact of Digital Twins

Laura Lachvajderová1, *, Martin Trebuňa1, Jaroslava Kádárová1
Technical University of Kosice, Faculty of Mechanical Engineering, Department of Business Management and Environmental Engineering, Park Komenskeho 5, 040 01 Kosice

Digital twins have emerged as integral components of modern industrial operations, owing to their ability to create virtual replicas of physical assets, processes, or systems. This article thoroughly explores the manifold applications of digital twins within the industry, emphasizing their role in enabling data-driven decision-making. These virtual counterparts facilitate real-time monitoring, analysis, and optimization, thereby enhancing operational efficiency. Additionally, they play a crucial role in predictive maintenance by minimizing downtime and prolonging the lifespan of machinery. By expediting testing and simulation procedures, digital twins promote innovation and efficiency gains even before real-world implementation. Moreover, they foster interdisciplinary collaboration and mutual understanding, particularly through collaborative digital twin platforms. These platforms act as catalysts for Industry 4.0, integrating various technologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML). As the influence of digital twins continues to grow within industrial processes, they serve as conduits for innovation, driving the trajectory of industrial advancement forward.

Keywords: digital twins; industry 4.0; predictive maintenance; IoT,

Received: February 26, 2024; Revised: March 10, 2024; Accepted: March 12, 2024; Published: March 15, 2024  Show citation

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Lachvajderová, L., Trebuňa, M., & Kádárová, J. (2024). Unlocking Industry Potential: The Evolution and Impact of Digital Twins. Acta Mechanica Slovaca, 28(1), 46-51. doi: 10.21496/ams.2024.009
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    References

    1. Kopec, J, Pekarčíková, M, Lachvajderová, L, Trebuňa, M. (2021). Digital twin, virtual reality and augmented reality and their use. InvEnt 2021: Industrial engineering - Invention for enterprise: proceedings. - Bielsko-Biała (Poµsko) : Wydawnictwo Akademii Techniczno-Humnistycznej p. 72-75 [online, print]. - ISBN 978-83-66249-78-3.
    2. Lachvajderová, L, Kádárová, J, Kliment, M, Trebuňa, M. (2021). Digitizácia, digitalizácia a digitálna transformácia v priemysle - systematický prehµad literatúry. In: PRŮMYSLOVÉ IN®ENÝRSTVÍ 2021 : Mezinárodní studentská vědecká konference : Sborník příspěvků. - Plzeň (Česko) : Západočeská univerzita v Plzni s. 122-132 [online]. - ISBN 978-80-261-0792-7. Go to original source...
    3. Trebuna, P, Pekarcikova, M, Dic, M, Kopec, J. (2022). Optimization of Production Schedule Using Advanced Scheduling Tools for Green Production. Acta Mechanica Slovaca 26 (2): 18 - 23, June 2022. https://doi.org/10.21496/ams.2022.006 Go to original source...
    4. Lachvajderová, L, Kádárová, J. (2022). Industry 4.0 Implementation and Industry 5.0 Readiness in Industrial Enterprises. Management and Production Engineering Review = MPER. - Warszawa (Poµsko) : Polska Akademia Nauk Roč. 13, č. 3 (2022), s. 102-109 [online]. - ISSN 2080-8208. Available at: https://journals.pan.pl/dlibra/publication/142387/edition/124600/content Go to original source...
    5. Bharadwaj, A., El Sawy, O.A., Pavlou, P.A., Venkatraman, N., 2013. Digital Business Strategy: Toward a Next Generation of Insights. MIS Quarterly, [e-journal] 37, pp. 471-482. Available through the website: https://eur-lex.europa.eu/legal-content/SK/TXT/PDF/?uri=CELEX:32020R2094&from=EN Go to original source...
    6. Vial, G. 2019. Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, [e journal] 28(2), pp. 118-144. https://doi.org/10.1016/j.jsis.2019.01.003 Go to original source...
    7. Legner, C., Eymann, T., Hess, T., Matt, C., Böhmann, T., Drews,P., Mädche, A., Urbach, N., Ahlemann, F. 2017. Digitalization: Opportunity and Challenge for the Business and Information Systems Engineering Community. Business Information System Engineering, [e-journal] 59, pp. 301- 308. https://link.springer.com/article/10.1007/s12599-017-0484-2. Go to original source...
    8. Trebuna, P., Markovic, J., Kliment, M., Halcinová, J. (2015). Modeling in Industrial Engineering. TU Kosice, 1st edition, Kosice.
    9. Sukopová, D, Kádárová, J, Výrostková, L, Lachvajderová, L. (2023). Business Intelligence and its Development From the Perspective of Publication in Scientific Journals. Acta Mechanica Slovaca 2023, 27(4):52-61. https://doi.org/10.21496/ams.2023.038 Go to original source...
    10. Gibson, M, Arnott, D, Jagielska, I & Melbourne, A 2004, 'Evaluating the Intangible Benefits of Business Intelligence: Review & Research Agenda', Proceedings of the 2004 IFIP International Conference on Decision Support Systems (DSS2004): Decision Support in an Uncertain and Complex World, pp. 295-305.
    11. Trebuňa, P, Duda, R, ©vantner, T. (2023). Digital engineering elements application in innovation and optimization of production flows. Trends and Innovative Approaches in Business Processes 2023 = Trendy a inovatívne prístupy v podnikových procesoch 2023 : Proceedings of the XXVI. International Scientific Conference. - Koąice (Slovensko) : Technická univerzita v Koąiciach s. 21-25. ISBN 978-80-553-4433-1.
    12. The Journal of Management Information Systems, from https://www.tandfonline.com/journals/mmis20, 28.8.2023.
    13. Lachvajderová, L, Kádárová, J. (2022). The Level of Sustainability and Digitalization of Small and Medium-sized Enterprises in Slovakia. Acta Mechanica Slovaca 26 (3): 54 - 63. https://doi.org/10.21496/ams.2022.011 Go to original source...
    14. Trojan, J, Trebuňa, P, Mizerák, M. (2023). Application of Digital Engineering Methods in Order to Improve Processes in Heterogeneous Companies. Applied Sciences. 2023; 13(13):7681. https://doi.org/10.3390/app13137681 Go to original source...
    15. Straka, M.; Malindzak, D. (2009). Algorithms of capacity balancing of printing machineries for Alfa Foils, a.s. planning system. Acta Montanistica Slovaca, Vol. 14, No. 1, 98-102.
    16. Julio, C., Serrano-Ruiz, J. C., Mula, J., Poler, R. (2021) Smart manufacturing scheduling: A literature review. Journal of Manufacturing Systems, Vol. 61, pp. 265-287. https://doi.org/10.1016/j.jmsy.2021.09.011 Go to original source...
    17. Kliment, M., Pekarcikova, M., Trebuna, P., Trebuna, M. Application of TestBed 4.0 Technology within the Implementation of Industry 4.0 in Teaching Methods of Industrial Engineering as Well as Industrial Practice. Sustainability. 2021; 13(16):8963. https://doi.org/10.3390/su13168963 Go to original source...
    18. Grznár, P, Gregor, M, Krajčovič, M, Mozol, ©, Schickerle, M, Vavrík, V, Ďurica, L, Marschall, M, Bielik, T. Modeling and Simulation of Processes in a Factory of the Future. Applied Sciences. 2020; 10(13):4503. https://doi.org/10.3390/app10134503 Go to original source...
    19. Trebuňa, P., Pekarčíková, M., Kronová, J. (2018) Automation of the casting process by the use of simulation software. Management and Production Engineering Review. Vol. 9, No. 1 82-89, ISSN 2082-1344.

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