Long-term planning for technical science research and production preparation in terms of digitalization

The article deals with the issues of strategic management and scientific, technological and technical production preparation processes planning. Presented machine learning models can be useful for modeling processes not only for the development of high and critical technologies, but also for mastering these technologies in production. It is shown how these models can be used for simulation and control of these processes. The article is relevant in view of the need not only for automation, but for the digitalization of these processes to increase not only the speed of response of the ASNI and ASTPP systems, but also to increase their flexibility and accuracy in conditions of uncertainty

Keywords: ASTPP, ASNI, high and critical technologies, production preparation, systems management, data analysis, regression models, machine learning, deep learning, simulation

References

  1. Yu. V. Belousov, O. I. Timofeeva. Methodology for defining the digital economy//Mir novoj ekonomiki [World of the New Economy]. 2019. Vol. 13. № 4. P. 79-89.
  2. N. Kurganova, М. Filin, D. Cherniaev et al. Digital twins’ introduction as one of the major directions of industrial digitalization//International Journal of Open Information Technologies. Vol. 7. № 5. 2019.
  3. M. Grieves. Digital twin: manufacturing excellence through virtual factory replication//White paper. 2014. Vol. 1. P. 1-7.
  4. V. N. Shvedenko, A. E. Mozokhin. Concept of digital twins at life cycle stages of production systems//Scientific and Technical Journal of Information Technologies, Mechanics and Optics. 2020. Vol. 20. № 6. P. 815-827. (in Russian)
  5. G. B. Evgenev. Russian Technologies for Creation of Industry 4.0 Systems. Part 2//Proceedings of Higher Educational Institutions. Маchine Building. 2018. № 9. P. 18-27.
  6. A. I. Borovkov, Ju. A. Rjabov. Cifrovye dvojniki: opredelenie, podhody i metody razrabotki/Pod. red. A. V. Babkina//Cifrovaja transformacija jekonomiki i promyshlennosti: sb. tr. konf. Inprom-2019. SPb.: SPbPU, 2019. P. 234-245.
  7. A. I. Borovkov, A. A. Gamzikova, K. V. Kukushkin, Yu. A. Ryabov. Cifrovye dvojniki v vysokotehnologichnoj promyshlennosti: kratkij doklad. SPb.: Politeh-press, 2019. S. 62.
  8. I. Kovacic, V. Zoller. Building life cycle optimization tools for early design phases//Energy. 2015. № 92. Р. 409-419.
  9. S. G. Selivanov, A. F. Shayhulova, S. N. Poezjalova. Regularities of high technologies involvement in production//Proc. of 17th International Workshop on Computer Science and Information Technologies (CSIT’2015). Vol. 2. 2015. P. 66-69.
  10. A. A. Kutin, N. N. Zakshevskaya, S. G. Selivanov, A. F. Shayhulova. Future Development of Digital Manufacturing in Russia//Proc. Of the 3rd International Conference on Manufacturing Engineering and Technology for Manufacturing Growth (METMG 2015). 2015. P. 31-35.
  11. S. G. Selivanov, A. F. Shayhulova. Usage of new technologies involvement regularities during project management in production technologic preparation//Proc. of the 16th International Workshop on Computer Science and Information Technologies (CSIT’2014). Vol. 2. 2014. P. 74-78.
  12. S. G. Selivanov, A. F. Shayhulova, S. N. Poezjalova. Principles and Regularities of Innovatics//International Journal «Innovations in life». № 1 (20), march 2017. P. 13-16.
  13. S. G. Selivanov, A. F. Shayhulova, G. F. Kamalova. Methods of innovative development in technic reconctruction. Lap Lambert Academic Publishing is a trademark of: AV Akademikerverlag GmbH & Co. KG, Saarbrucken, Germany, 2014. 316 p.
  14. P. E. D. Love, J. Matthews. The ‘how’ of benefits management for digital technology: From engineering to asset management//Automation in Construction. 2019. № 107.

Authors