Ключевые слова:

realization method, digital twins of industrial production enterprises


the realization method for digital twins of industrial production enterprises


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Библиографические ссылки

Lim, K.Y.H., Zheng, P., Chen CH. A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives // Journal of Intelligent Manufacturing. 2020 Vol. 31. P. 1313–1337.

Top 10 Strategic Technology Trends for 2019 / Gartner  Stamford. 2018.  46 p. [Электронный ресурс].  URL: https://www.gartner.com/en/doc/3891569-top-10-strategic-technology-trends-for-2019 (дата обращения 15.11.2021).

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Luca Lattanzi, Roberto Rafaeli, Margherita Peruzzini and Marcello Pellicciari Digital twin for smart manufacturing: a review of concepts towards a practical industrial implementation // Inteernational Journal of Computer Integrated Manufacturing 2021, Vol. 34, NO. 6, P. 567–597

Grieves, M. Virtually Perfect: Driving Innovative and Lean Products through Product Lifecycle Management.  Space Coast Press, 2011. 370 p.

Fei Tao, He Zhang, Ang Liu, and A. Y. C. Nee Digital Twin in Industry: State-of-the-Art // IEEE Transactions on Industrial Informatics, Vol. 15, № 4, 2019. P. 2405-2415

Fei T., Jiangfeng C., Qinglin Q., Meng Z., He Z., Fangyuan S. Digital twin-driven product design, manufacturing and service with big data // International Journal Advanced Manufacturing Technoljgies. 2018. Vol. 94. P. 35633567

Elisa N., Luca F., Marco M. A Review of the Roles of Digital Twin in CPS-based Production Systems // Procedia Manufacturing. 2017. Vol. 11. P. 939–948.

N. Demkovich, E. Yablochnikov, and G. Abaev. Multiscale Modeling and Simulation for Industrial Cyber-Physical Systems // 2018 IEEE Industrial Cyber-Physical Systems (ICPS), 2018 P. 291–296.

Digital Twin: Analytic Engine for the Digital Power Plant / General Electric Company. 2016.  30 p. [Электронный ресурс].  URL: https://www.ge.com/digital/sites/default/files/download_assets/Digital-Twin-for-the-digital-power-plant-.pdf (дата обращения: 16.11.2021).

Industry 4.0 and the digital twin: Manufacturing meets its match / Deloitte University Press. 2017.  18 p. [Электронный ресурс].  URL: https://www2.deloitte.com/content/dam/Deloitte/kr/Documents/insights/deloitte-newsletter/2017/26_201706/kr_insights_deloitte-newsletter-26_report_02_en.pdf (дата обращения: 17.11.2021).

Demystifying the Digital Thread and Digital Twin Concepts / IndustryWeek [Электронный ресурс].  URL: https://www.industryweek.com/technology-and-iiot/systems-integration/article/22007865/demystifying-the-digital-thread-and-digital-twin-concepts (дата обращения 15.11.2021).

Kunath M., Winkler H. Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process. 51st CIRP Conference on Manufacturing Systems 2018. [Электронный ресурс].  URL: https://www.researchgate.net/publication/326032091_Integrating_the_Digital_Twin_of_the_manufacturing_system_into_a_decision_support_system_for_improving_the_order_management_process (дата обращения 16.11.2021).

Wang J., Zhang W., Shi Y., Duan S. Industrial Big Data Analytics: Challenges, Methodologies, and Applications. [Электронный ресурс].  URL: https://arxiv.org/ftp/arxiv/papers/1807/1807.01016.pdf (дата обращения 15.11.2021).



Как цитировать

Сухомлинов, А. (2022). МЕТОД РЕАЛИЗАЦИИ ЦИФРОВЫХ ДВОЙНИКОВ ПРОМЫШЛЕННЫХ ПРОИЗВОДСТВЕННЫХ ПРЕДПРИЯТИЙ. European Science, 2(sge08-02), 60–72. https://doi.org/10.30890/2709-2313.2022-08-02-001