Article
Article name The Opportunities for Using Digital Twins in Industry
Authors Korovin G.. ,
Bibliographic description
Category Economics
DOI 338.45
DOI 10.21209/2227-9245-2021-27-8-124-133
Article type
Annotation The digital twin is one of the most important technological concepts in the framework of Industry 4.0. This term is often used in research and practical works devoted to the prospects of industrial development. The object of this study is the process of digital twin using in industry, and the subject of the study is the economic relations in the process of digital twin use in industry. The purpose of the article is to determine the value of the digital twin in industry, its main characteristics, possibilities of its application and effects for industrial enterprises. The complexity of this object determines the need to use a methodology for collecting fragmented data, systematizing the opinions of scientists and analyzing practical experience. The result of the research is identification of approaches to the definition of the digital twin concept and its complementary concepts. The key features of a digital twin, including a virtual dynamic representation of a physical object, automatic and bidirectional data exchange, the ability to observe, optimize work, simulate behaviour are formulated, and the state of a physical object is predicted in the article. The structure of the digital twin in the form of basic elements and information and management links is presented. The classification of digital twins, related important technological directions is proposed. The analysis of the practice of creating and using a digital double in industry allowed the author to determine the scope of its application and the main effects of use. The results of the study can be useful for researchers, specialists of industrial enterprises, representatives of government authorities to form a strategy for the industrial complex development in the process of digitalization. The obtained results can become the basis for the further development of the digital twin concept using methodology in the domestic industry.
Key words Key words: digital twin; industry 4.0; digitalization; industry; digital economy; technological development; industrial policy; digital shadow; technology; industrial production
Article information Korovin G. The Opportunities for Using Digital Twins in Industry // Transbaikal State University Journal, 2021, vol. 27, no. 8, pp. 124-133. DOI: 10.21209/2227-9245-2021-27-8-124-133.
References 1.Borovkov A. I., Ryabov Yu. A., Metreveli I. S., Alikina Ye. A. Innovatsii (Innovations), 2019, no. 11, рp. 50–72. 2. Borovkov A. I., Gamzikova A. A., Kukushkin K. V., Ryabov YU. A. Tsifrovye dvoyniki v vysokotekhnologichnoy promyshlennosti: kratkiy doklad (Digital twins in high-tech industry: a short report). SPb.: POLYTEKHPRESS, 2019, pp. 1–38. 3. Goncharov A. S., Saklakov V. M. Informatsionno-telekommunikatsionnye sistemy i tekhnologi (Information and telecommunication systems and technologies: materials of the All-Russian. scientific-practical conf.) (Kemerovo, October 11–13, 2018). Kemerovo: KSTU, 2018. P. 24–26. 4. Prokhorov A., Lysachev M. Tsifrovoy dvoynik. Analiz, trendy, mirovoy opyt (Digital twin. Analysis, trends, world experience). Moscow: Alliance Print, 2020. 401 p. 5. Alam K. M., Saddik A. IEEE Access (IEEE Access), 2017, vol. 5, pp. 2050–2062. 6. Bajaj M., Cole B., Zwemer, D. Architecture To Geometry – Integrating System Models With Mechanical Design (Architecture To Geometry – Integrating System Models With Mechanical Design). SPACE Conferences and Exposition: AIAA SPACE, 2016. 7. Erikstad S.O. Merging Physics, Big Data Analytics and Simulation for the Next-Generation Digital Twins, HIPER’17 (Merging Physics, Big Data Analytics and Simulation for the Next-Generation Digital Twins, HIPER’17). Harburg: Technical University Hamburg, 2017, pp. 140–150. 8. Glaessgen Ed., Stargel D. The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference (The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles, 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. 2012). Available at: https://doi.org/10.2514/6.2012-1818 (Date access: 19.09.2021). Text: electronic. 9. Graessler I., Poehler A. International Conference on Industrial Engineering and Engineering Management (IEEM) (International Conference on Industrial Engineering and Engineering Management (IEEM)), 2017, pp. 289–293. 10. Grieves M., Vickers J. Transdisciplinary Perspectives on Complex Systems (Transdisciplinary Perspectives on Complex Systems), 2016, pp. 85–113. 11. Hribernik K. A., Rabe L., Thoben K-D., Schumacher J. Journal of Applied Physics (Journal of Applied Physics). 2006. 12. Kritzinger W., Karner M., Traar G., Henjes J., Sihn W. IFAC-Papers OnLine (IFAC-Papers OnLine), vol. 51, no 11, pp. 1016–1022. 13. Lubell J. et al. Model Based Enterprise Summit (Model Based Enterprise Summit), 2012. 14. Madni A. M., Madni C., Lucero S. Systems (Systems), 2019, № 7. 15. Negri E., Fumagalli L., Macchi M. Procedia Manufacturing (Procedia Manufacturing), 2017, vol. 11, pp. 939–948. 16. Saddik A. E. IEEE MultiMedia (IEEE MultiMedia), 2018, vol. 25, no. 2, pp. 87–92. 17. Schuh G., Blum M. Portland International Conference on Management of Engineering and Technology (Portland International Conference on Management of Engineering and Technology), 2016, pp. 2164–2169. 18. Siedlak D. J. L. et al. Research in Engineering Design (Research in Engineering Design), 2018, vol. 29, no. 2, pp. 285–308. 19. Stark R. Damerau T. Encyclopedia of Production Engineering, Springer Berlin Heidelberg (Encyclopedia of Production Engineering, Springer Berlin Heidelberg), 2019, vol. 66, pp. 1–8. 20. Trauer J., Schweigert-Recksiek S., Engel C., Spreitzer K., Zimmermann M. DESIGN Conference (DESIGN Conference), 2020, vol. 1, pp. 757–766. 21. Zhuang С., Liu J., Xiong H. International journal of advanced manufacturing technology (International journal of advanced manufacturing technology), 2018, vol. 96, pp. 1149–1163. 22. Wong C.Y., Mcfarlane D., Ahmad Z., Agarwal V. IEEE International Conference (IEEE International Conference), 2002, vol. 4.
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