Industry 5.0 Vision Through Model-Based Systems Engineering and Artificial Intelligence
Hölsä, Aapo; Banagar, Isa; Khadim, Qasim; Frondelius, Tero; Konnö, Juho; Mahmoudzadeh Andwari, Amin; Kurvinen, Emil (2025-01-18)
Palgrave Macmillan
18.01.2025
Hölsä, A. et al. (2025). Industry 5.0 Vision Through Model-Based Systems Engineering and Artificial Intelligence. In: Aaltonen, P., Kurvinen, E. (eds) Contemporary Issues in Industry 5.0. Technology, Work and Globalization. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-031-74779-3_4
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© The Author(s) 2025. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
https://creativecommons.org/licenses/by/4.0/
© The Author(s) 2025. This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202502101547
https://urn.fi/URN:NBN:fi:oulu-202502101547
Tiivistelmä
Abstract
Industry 4.0, characterized by its heavy reliance on automation and data-driven technologies, poses risks of social inequalities and reduces human oversight, potentially leading to ethical dilemmas and decreased job satisfaction among workers. The extensive integration of cyber-physical systems (CPS) and cyber-physical production systems (CPPS) in Industry 4.0 also amplifies cyber security threats to individual privacy and industrial security, prompting a regulatory shift toward ethical artificial intelligence (AI) practices in Industry 5.0. This chapter outlines the vision of Industry 5.0 from the model-based systems engineering (MBSE) perspective, emphasizing the prioritization of technological advances alongside human-centric values. MBSE in Industry 5.0 is further elucidated using the marine engine crank train example. The results demonstrate how AI and MBSE can facilitate the decentralization of knowledge by eliminating technical barriers between personnel and information captured in the system model, how the system model can serve as a platform for digital twins (DTs), and how enhanced optimization algorithms and system patterns can be employed to allocate human resources more efficiently in development processes.
Industry 4.0, characterized by its heavy reliance on automation and data-driven technologies, poses risks of social inequalities and reduces human oversight, potentially leading to ethical dilemmas and decreased job satisfaction among workers. The extensive integration of cyber-physical systems (CPS) and cyber-physical production systems (CPPS) in Industry 4.0 also amplifies cyber security threats to individual privacy and industrial security, prompting a regulatory shift toward ethical artificial intelligence (AI) practices in Industry 5.0. This chapter outlines the vision of Industry 5.0 from the model-based systems engineering (MBSE) perspective, emphasizing the prioritization of technological advances alongside human-centric values. MBSE in Industry 5.0 is further elucidated using the marine engine crank train example. The results demonstrate how AI and MBSE can facilitate the decentralization of knowledge by eliminating technical barriers between personnel and information captured in the system model, how the system model can serve as a platform for digital twins (DTs), and how enhanced optimization algorithms and system patterns can be employed to allocate human resources more efficiently in development processes.
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