40th International Conference on Production Engineering of Serbia
ICPES 2025
Nis, Serbia, 18-19th september 2025
THE CONCEPT OF SMART INFORMATION SYSTEMS IN PRODUCTION ENGINEERING: THE METAVERSE APPROACH
Nikola Vitkovic, Miodrag Manic, Milan Mitkovic, Sven Maricic, Marek Chodnicki, George Vosniakos, Panorios Benardos, Manolis Stathatos
DOI: 10.46793/ICPES25.314V
The evolution of Industry 4.0 and Industry 5.0 has opened new pathways for integrating advanced digital ecosystems in production engineering. Among these, the Metaverse—a convergence of immersive XR technologies, real-time data, and collaborative virtual spaces—enables the development of Smart Information Systems (SIS) that enhance intelligence, adaptability, and interconnectivity. This paper explores how immersive, persistent digital layers support data-driven decision-making, digital twins, and human-machine interaction. By integrating XR, IoT, AI, and ERP systems, the Metaverse enables virtual prototyping, planning, and human-centered education. It also introduces an atomic knowledge approach, transforming tacit expertise into reusable, structured units embedded within SIS and Metaverse workflows. Technical architecture elements, including XR interfaces and cloud-edge integration, are outlined. Key challenges such as interoperability, privacy, latency, and scalability are addressed, alongside potential solutions and implementation pathways. This work proposes a foundational roadmap for resilient, human-centric, and intelligent production systems
Smart Information Systems, AI, ERP, Metaverse, XR, Virtual simulations, Workflow
[1] Asad, U., Khan, M., Khalid, A., & Lughmani, W. A. (2023). Human-centric digital twins in industry: A comprehensive review of enabling technologies and implementation strategies. Sensors, 23(8), 3938. https://doi.org/10.3390/s23083938
[2] Fernández-Caramés, T. M., & Fraga-Lamas, P. (2024). Forging the industrial metaverse: Where Industry 5.0, XR, IIoT, edge computing and digital twins meet. IEEE Access, 12, 95778–95819. https://doi.org/10.1109/ACCESS.2024.3422109
[3] Zhang, S., Li, J., Shi, L., Ding, M., Nguyen, D. C., Chen, W., & Han, Z. (2024). Industrial metaverse: Enabling technologies, open problems, and future trends. arXiv preprint arXiv:2405.08542. https://arxiv.org/abs/2405.08542
[4] Nleya, S. M., Mahlatji, M. L., Chuma, J. M., & Adeola, S. O. (2024). Industrial metaverse: A comprehensive review, environmental impact and challenges. Applied Sciences, 14(13), 5736. https://doi.org/10.3390/app14135736
[5] Doolani, S. M., Wessels, C., Kanal, V., Sevastopoulos, C., Jaiswal, A., Nambiappan, H., & Makedon, F. (2020). A review of extended reality (XR) technologies for manufacturing training. Technologies, 8(4), 77. https://doi.org/10.3390/technologies8040077
[6] Cao, H., Söderlund, H., Derspeisse, M., & Johansson, B. (2023). Exploring the current applications and potential of extended reality for environmental sustainability in manufacturing. arXiv preprint arXiv:2312.17595. https://arxiv.org/abs/2312.17595
[7] Kour, R., Soni, A. K., Sharma, M., & Verma, R. (2025). Metaverse in industrial contexts – a comprehensive review. Frontiers in Virtual Reality. https://doi.org/10.3389/frvir.2025.1488926
[8] Siemens & NVIDIA. (2022). Siemens and NVIDIA partner to enable the industrial metaverse. Siemens Press Release. https://press.siemens.com/global/en/pressrelease/siemens-and-nvidia-announce-partnership-enable-industrial-metaverse
[9] Li, K., Cui, Y., Li, W., Lv, T., Yuan, X., Li, S., Ni, W., Simsek, M., & Dressler, F. (2022). When Internet of Things meets metaverse: Convergence of physical and cyber worlds. arXiv preprint arXiv:2208.13501. https://arxiv.org/abs/2208.13501
[10] Production digital twin: A systematic literature review of challenges. (2023). Computers in Industry, 149, 103850. https://doi.org/10.1016/j.compind.2023.103850
[11] Egbengwu, V., Garn, W., & Turner, C. J. (2025). Metaverse for manufacturing: Leveraging extended reality technology for human-centric production systems. Sustainability, 17(1), 280. https://doi.org/10.3390/su17010280
[12] Oppermann, L., Buchholz, F., & Uzun, Y. (2024). Industrial Metaverse? Human Centred Design for Collaborative Remote Maintenance and Training Using XR Technologies. In M. C. tom Dieck, T. Jung & Y.-S. Kim (Eds.), XR and Metaverse (pp. 195–209). Springer. DOI: 10.1007/978 3 031 50559 1_15.
[13] Chen, B., Macdonald, S., Attallah, M., Chapman, P., & Ghannam, R. (2025). A review of prototyping in XR: Linking Extended Reality to Digital Fabrication. arXiv preprint arXiv:2504.02998. https://arxiv.org/abs/2504.02998
[14] Pietschmann, L., Zuercher, P.-D., Bubík, E., Chen, Z., Pfister, H., & Bohné, T. (2023). Quantifying the impact of XR visual guidance on user performance using a large-scale virtual assembly experiment. arXiv preprint arXiv:2308.03390. https://doi.org/10.48550/arXiv.2308.03390
[15] Miura, T., & Okabe, H. (2024). Leveraging the industrial metaverse for digital transformation: Realizing next-generation factories through simulation and immersive XR. EY Japan Insights. https://www.ey.com/en_jp/insights/technology/industrial-metaverse-unlocks-the-future-realizing-next-generation-factories-through-digital-transformation
[16] Tomaszewska, K. (2025). XR technology in manufacturing – Exploring practical applications, drivers, and barriers. Scientific Papers of Silesian University of Technology, Organization & Management Series, (217), 221–234. https://managementpapers.polsl.pl/wp-content/uploads/2025/04/217-TOMASZEWSKA.pdf
[17] Vitkovic, N., Mišic, D., Simonovic, M., Banic, M., Miltenovic, A., Mitic, J., & Milovanovic, J. (2020). Novel educational methodology for personalized Massive Open Online Courses. In Proceedings of the 10th International Conference on Information Society and Technology (ICIST 2020) (Vol. 1, pp. 5–9). Kopaonik, Serbia. ISBN: 978-86-85525-24-7.
[18] Vitkovic, N., Trajanovic, M., Barac, M., Trifunovic, M., Stojkovic, J., Stan, S. D., & Pacurar, R. (2024). Novel approach for education in biomedical engineering based on atomic learning. In M. Trajanovic, N. Filipovic, & M. Zdravkovic (Eds.), Disruptive Information Technologies for a Smart Society: Proceedings of ICIST 2023 (Lecture Notes in Networks and Systems, Vol. 872, pp. 279–287). Cham: Springer Nature. https://doi.org/10.1007/978-3-031-50755-7_26