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Use of the digital twin concept to optimize the production process of engine blocks manufacturing

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Języki publikacji
EN
Abstrakty
EN
The aim of the paper is to present the concept of a digital twin (DT) as part of the Industry 4.0 strategy. In the form of a case study, a digital twin of a production line for the processing of engine blocks is presented, which will serve as a starting point for further research in the field of digitization of production processes. The research part describes the simulation model of the production line with the representation of the material flow as a basis for the creation of a digital twin. The simulation model was used to optimize the production processes of the engine block and to verify the increase in its productivity. A case study implemented through a digital twin enables testing and analysis of changes before they are introduced into real production.
Rocznik
Strony
168--174
Opis fizyczny
Bibliogr. 35 poz., rys., tab.
Twórcy
  • Technical University in Zvolen, Faculty of Technology, Studentska 26, 960 01 Zvolen, Slovak Republic; Tel.: + 421 907 368 346
  • Asseco CEIT, a.s., Univerzitná 8661/6A, 010 08 Žilina
  • Jan Evangelista Purkyně University in Ústí nad Labem, Faculty of Mechanical Engineering, Pasteurova 3334/7, 400 96 Ústí nad Labem, Czech Republic
autor
  • 1 Technical University in Zvolen, Faculty of Technology, Studentska 26, 960 01 Zvolen, Slovak Republic
Bibliografia
  • 1. Ahmed, M., 2017. Top 10 Technology Trends for 2017, [online], [cit.2021-01-25]. Available: https://www.techradar.com/in/news/top-10-technology-trends-for-2017.
  • 2. Bambura, R., 2021. Optimization of production processes using digital enterprise tools: Dissertation thessis. Technical University in Zvolen, Faculty of Technology: Zvolen, Slovakia.
  • 3. Bambura, R., Šolc, M., Dado, M., Kotek, L. 2020. Implementation of digital twin for engine block manufacturing processes. Applied sciences 2020, 10(18), 6578; DOI: 10.3390/app10186578
  • 4. Biesinger, F., Meike, D., Kraß, B., Weyrich, M., 2018. A Case Study for a Digital Twin of Body-in-White Production Systems General Concept for Automated Updating of Planning Projects in the Digital Factory. Proceeding of the 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation, Turin, Institute of Electrical and Electronics Engineers, 19-26, DOI:10.1109/ETFA.2018.8502467.
  • 5. Bučková, M., Krajkovič, M., Jerman, B., 2017. Impact of digital factory tools on designing of warehouses. Journal of Applied Engineering Science, 15(2), 173-180, DOI: 10.5937/jaes15-13245.
  • 6. Cimino, C., Damiani, L., Demartini, M., Giribone, P., Maggiani, M., Revetria, R., Tonelli, F., 2018. Simulation and Digital Twin Based Design of a Production Line: A Case Study. The International MultiConference of Engineers and Computer Scientists. IMECS 2018, Hong Kong, Newswood Limited, International Association of Engineers, IAENG.
  • 8. Fuller, A., Fan, Z., Day, C., Barlow, C., 2020. Digital twin: Enabling technologies, challenges and open research. IEEE Access. 8, 108952-108971, DOI: 10.1109/ACCESS.2020.2998358.
  • 9. Furmann, R., 2010. Digital enterprise - innovative solutions for you, Produktivita a Inovácie. 11 (2/2010), ISSN 1335-5961.
  • 10. Furmann, R., 2017. Many want to "be Industry 4.0" however, it cannot be done without basic steps, Produktivita a Inovácie ProIn. 18 (1/2017), 8-9, ISSN 1339-2271.
  • 11. Fursko, M., Rakyta, M., Hnát, J., 2015. Maintenance and digital enterprise 18th International Scientific Conference, Trends and Innovative Approaches in Business Processes. TIABP 2015, Košice, Technická univerzita v Košiciach, 18.
  • 12. Gérer, A., 2018. A digital twin came to life in Embraco Slovakia, [online], 2018, [cit. 2021-01-28]. Available: https://www.atpjournal.sk/rubriky/aplikacie/v-embraco-slovakia-ozilo-digitalnedvojca.html?page_id=27802.
  • 13. Grieves, M., Vickers, J., 2017. Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems, Transdisciplinary perspectives on complex systems, 2017, 85-113. DOI: 10.1007/978-3-319-38756-7_4.
  • 14. Hajba, T., Horváth, Z., Kiss-Tóth, C., Jósvai, J., 2017. Production Line Optimization with Model Based Methods, Math for the Digital Factory, 163-182, DOI: 10.1007/978-3-319-63957-4.
  • 15. Kritzinger, W., Karner, M., Traar, G., Henjes, J., Sihn, W., 2018. Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine, 51(11), 1016-1022, DOI:10.1016/J.IFACOL.2018.08.474.
  • 16. Kühn, W., 2006. Digital Factory - Integration of simulation enhancing the product and production process towards operative control and optimization, International Journal of Simulation: Systems, Science and Technology, 7, ISSN 1473-8031.
  • 17. Leiva, C., Strategy, V. P., 2016. Demystifying the digital thread and digital twin concepts. In Industry Week. [online], [cit. 2022-06-25]. Available: https://www.industryweek.com/technology-and-iiot/systems-integration/article/22007865/demystifying-the-digital-thread-and-digital-twin-concepts.
  • 18. Leng, J., Zhang, H., Yan, D., Liu, Q., Chen, X., Zhang, D., 2019. Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop, Journal of ambient intelligence and humanized computing, 10(3), 1155-1166, DOI:10.1007/s12652-018-0881-5.
  • 19. Madni, A. M., Madni, C. C., Lucero, S. D., 2019. Leveraging digital twin technology in model-based systems engineering, Systems, 7(1), DOI: 10.3390/systems7010007.
  • 20. Mitana, R., 2018. Connecting the physical world of production and automation with digital technologies, [online], [cit. 2021-01-28]. Available: https://www.dsihk.sk/fileadmin/AHK_Slowakei/user_upload/
  • 21. Ondrejmiška, R., Šlosiar, F., Mitana, R., Lokšík, M., Šebek, Z., 2019. Project: digitization of the assembly line + Digital Twin, [online], [cit. 2021-01-28]. Available: https://industry4um.sk/wp-content/uploads/2019/09/secop_dd_2019.pdf.
  • 22. Palčič, I., Klančnik, S., Lehrer, T., Ficko, M., 2020. The use of digital factory technologies in slovenian manufacturing companies, International Conference “New Technologies, Development and Applications”, Sarajevo, Springer Cham, 227-237.
  • 23. Panetta, K., 2017. Gartner’s Top 10 Strategic Technology Trends for 2017, [online], [cit. 2021-01-25]. Available: https://www.gartner.com/smarter-withgartner/gartners-top-10-technology-trends-2017/.
  • 24. Panetta, K., 2018. Gartner’s Top 10 Strategic Technology Trends for 2018, [online], [cit. 2021-01-25]. Available: https://www.gartner.com/smarter-withgartner/gartner-top-10-strategic-technology-trends-for-2018/.
  • 25. Plinta, D., 2013. Production management with the use of digital factory tools, Pomiary Automatyka Robotyka, 17(2), 213-217, ISSN 2577-2899.
  • 26. Qi, Q., Tao, F., Hu, T., Anwer, N., Liu, A., Wei, Y., Nee, A. Y. C., 2019. Enabling technologies and tools for digital twin, Journal of Manufacturing Systems, 58, 3-21, DOI:10.1016/j.jmsy.2019.10.001.
  • 27. Shafto, M., Conroy, M., Doyle, R., Glaessgen, E., Kemp, C., Lemoigne, J., Wang, L., 2010. Draft modeling, simulation, information technology & processing roadmap, Technology Area, NASA, Washington, USA.
  • 28. Sira M. Cognitive Technology Applications For Smart Manufacturing. Management Systems in Production Engineering. 2022, Volume 30, Issue 2. pp. 187-191. doi: 10.2478/mspe-2022-0023
  • 29. Smutná, M. Dulina, Ľ. 2013. Advanced access to detailed workplaces design using the principles of ergonomics. In 5th International Ergonomics Conference - ERGONOMICS 2013, Croatian Ergonomics Society, Zagreb, Croatia. ISSN 1848-9699, 81-86
  • 30. Teymourian, K. Tretten, P. Seneviratne, D. Galar, D. Ergonomics Evaluation in Designed Maintainability: Case Study Using 3 DSSPP. Management Systems in Production Engineering. 2021, Volume 29, Issue 4. pp. 309-319. doi: 10.2478/mspe-2021-0039
  • 31. Trebuňa, P., Markovič, J., Kliment, M., Halčinová, J., 2015. Modeling in industrial engineering, first ed. Strojnícka fakulta TU, Košice, Slovakia.
  • 32. Tuegel, E. J., Ingraffea, A. R., Eason, T. G., Spottswood, S. M., 2011. Reengineering aircraft structural life prediction using a digital twin, International Journal of Aerospace Engineering, 2011, 14, DOI:10.1155/2011/154798.O
  • 33. Tuegel, E., 2012. The airframe digital twin: some challenges to realization, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Honolulu.
  • 34. Zhuang, C., Liu, J., Xiong, H., 2018. Digital twin-based smart production management and control framework for the complex product assembly shop-floor, The international journal of advanced manufacturing technology, 96(1-4), 1149-1163, DOI: 10.1007/s00170-018-1617-6.
  • 35. Židek, K., Modrák, V., Pitel, J., Šoltysová, Z., 2020. The Digitization of Quality Control Operations with Cloud Platform Computing Technologie, Industry 4.0 for SMEs, 305-334, DOI: 10.1007/978-3-030-25425-4_11.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-85c067d0-9745-45ff-a855-f3f9c4c6aa7f
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