Digital twins in production management: creation principles, implementation problems and development prospects
Abstract
Importance: the article discusses the theoretical and practical principles of creation, economic benefits, implementation problems and prospects for the development of digital twins in the context of increasing the efficiency of production management. The digital twin is a comprehensive solution and an effective tool for increasing the efficiency of companies in an era of rapid change and uncertainty. Purpose: analysis of the role of digital twins in the field of production management, study of the principles of creation, implementation problems and development prospects. Research design: with businesses on the cusp of a new technological evolution, the adoption of digital twins becomes not just a choice, but a strategic imperative for those seeking to succeed in the dynamic and competitive environment of modern manufacturing management. Key aspects related to the creation, implementation and use of digital twins are considered. Results: the principles that should be followed when developing the creation of digital twins are presented, practical examples of the successful use of digital twins and the problems of their implementation in production are considered.
Downloads
References
2. Абрамов В.И., Головин О.Л., Столяров А.Д. Методика поиска Паретооптимальных решений по развитию умных городов на базе их цифровых двойников // Современная экономика: проблемы и решения, 2021, no. 9 (141), с. 8-15.
3. Боровков А.И., Рябов Ю.А., Кукушкин К.В., Марусева В.М., Кулемин В.Ю. Цифровые двойники и цифровая трансформация предприятий ОПК // Оборонная техника. Научно-технический сборник, 2018.
4. Михайленко Н.Н. Цифровые платформы и развитие бизнеса: исследование влияния и практические примеры // Современная экономика: проблемы и решения, 2023, no. 8 (164), с. 33-48.
5. Пургаева И.А., Некрасова Т.А., Наролина Т.С., Смотрова Т.И. Цифровая трансформация промышленности: проблемы и перспективы // Современная экономика: проблемы и решения, 2023, no. 1 (157), с. 34-49.
6. Столяров А.Д., Гордеев В.В., Абрамов В.И. Методика поиска многокритериальных решений на основе цифровых двойников // Экономика и управление, 2023, т. 29, no. 7, с. 851-858.
7. Щеголева Т.В. Обеспечение надежности бизнес-процессов высокотехнологичных промышленных предприятий в условиях цифровой трансформации // Современная экономика: проблемы и решения, 2022, no. 2(146), с. 69-78.
8. Ali M.I., Patel P., Breslin J. G., Harik R., Sheth A. Cognitive digital twins for smart manufacturing // IEEE Intelligent Systems, 2021, vol. 36, pp. 96-100.
9. Erol T., Mendi A. F., Doğan D. Digital Transformation Revolution with Digital Twin Technology. In Proceedings of the 2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), Istanbul, Turkey, 22–24 October 2020, pp. 1–7.
10. Grieves M., Vickers J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior. in Springer International Publishing Switzerland, F.- J. Kahlen et al. (eds.), Transdisciplinary Perspectives on Complex Systems, 2017.
11. Grieves M. Virtually Intelligent Product Systems: Digital and Physical Twins. In book: Complex Systems Engineering: Theory and Practice Publisher: American Institute of Aeronautics and Astronautics, 2019, pp. 175-200.
12. Ito D., Ishida H. Digital twin technology for continuous improvement at manufacturing sites // Benefits, 2020, vol. 2, pp. 2-11.
13. Khajavi S.H., Motlagh N.H., Jaribion A. et al.: Digital twin: vision, benefits, boundaries, and creation for buildings // IEEE access, 2019, vol. 7, pp. 147406-147419.
14. Krotov V., The Internet of Things and new business opportunities // Bus. Horiz, 2017, vol. 60(6), pp. 831-841.
15. Liu Q., Leng J., Yan D., Zhang D., Wei L., Yu A., Chen X. Digital twin-based designing of the configuration, motion, control, and optimization model of a flow-type smart manufacturing system // Journal of Manufacturing Systems, 2021, vol. 58, pp. 52-64.
16. Morkunas V.J., Paschen J., Boon E. How blockchain technologies impact your business model // Bus. Horiz, 2019, no. 62 (3), рр. 295-306.
17. Mylonas G., Kalogeras A., Kalogeras G., Anagnostopoulos C., Alexakos C., Muñoz L. Digital twins from smart manufacturing to smart cities: a survey // IEEE Access, 2021, vol. 9, рр. 143222-143249.
18. Shao G., Jain S., Laroque C., Lee L. H., Lendermann P., Rose O. Digital twin for smart manufacturing: the simulation aspect // Winter Simulation Conference (WSC), IEEE, 2019, pp. 2085-2098.
19. Tabrizi B., Lam E., Girard K., Irvin V., Digital transformation is not about technology. // Harv. Bus. Rev, 2019.
20. Tuegel E.J., Ingraffea A.R., Eason T.G., Spottswood S.M.. Reengineering aircraft structural life prediction using a digital twin // Int. J. Aerosp. Eng., 2011, vol. 2011, pp. 1-14.
21. Van der Valk H., Haße H., Möller F., Arbter M., Henning J-L., Otto B. A Taxonomy of Digital Twins // In AMCIS 2018 Template, 2020, рp. 1-10.
22. Zheng P., Sivabalan A. S. A generic tri-model-based approach for productlevel digital twin development in a smart manufacturing environment // Robotics and Computer-Integrated Manufacturing, 2020, vol. 64, Article 101958.
