Quality Management of High-Tech Products Using ISI Technologies

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Abstract

In conditions of global competition and rapid technological progress, high-tech products are becoming an important element of economic growth and innovative development. Managing the quality of such products is a critical factor that directly affects their competitiveness. Modern ISI technologies, including automated control systems, big data analysis, digital twins and machine learning, play a key role in optimizing quality management processes. However, the implementation of these technologies is accompanied by a number of difficulties that require detailed analysis and development of recommendations.

In the course of this study, an analysis of existing scientific papers has been conducted on the problems of quality management of high-tech products using intelligent manufacturing and information technologies.

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About the authors

E. V. Ryzhkova

Siberian State University of Geosystems and Technologies

Author for correspondence.
Email: alena.tarasova.2014@mail.ru

Assistant

Russian Federation, Novosibirsk

A. V. Shaburova

Siberian State University of Geosystems and Technologies

Email: aelita_shaburova@mail.ru

Dr. (Ec.), Assoc. Prof., Director of the Institute of Optics and Information Security Technologies

Russian Federation, Novosibirsk

References

  1. Chesalin A.N., Grodzenskiy S.Y., Nilov M.Y., and Pham V.T. Cybernetics, Economics and Organization of Mechanical Engineering Production, IOP Conference Series: Materials Science and Engineering, 2020, vol. 862; https://iopscience.iop.org/article/10.1088/1757-899X/862/4/042032.
  2. Kuznetsova S.V., Semenov A.S., Trudy MAI, 2023, no. 131.
  3. Ibragimova Z.M., Dzhamaldinova M.A., Colloquium-journal, 2022, no. 31(154); https://cyberleninka.ru/article/n/analiz-bolshih-dannyh-upravleniya-tsepochkami-postavok-na-osnove-iot-pri-uchastii-promyshlennyh-otrasley.
  4. Larionova O.A., Larionov A.I. Actual problems of modern science and production, III All-Russian sc. and tech. conf., 2018, pp. 134–138.
  5. Borgardt E.A., Bobel’ D.N., International Journal of Humanities and Natural Sciences, vol. 8-1(59), 2021, pp.178–180.
  6. Borovkov A.I., Ryabov Yu.A., Shcherbina L.A., etc. Digital twins in high-tech industry: monograph, ed. by A.I. Borovkov, St. Petersburg, Politekh-Press, 2022, 492 P.
  7. Kokorev D.S., Posmakov N.P., Colloquium-journal, 2019, no. 26(50); https://cyberleninka.ru/article/n/primenenie-tsifrovyh-dvoynikov-v-proizvodstvennyh-protsessah.
  8. Tret’yakova T.I., Plyusnina E.V. Efficiency of information systems for organizing and managing high-tech enterprise; https://cyberleninka.ru/article/n/effektivnost-informatsionnyh-sistem-organizatsii-i-upravleniya-naukoemkim-predpriyatiem.
  9. Kaznacheeva A.A., Zakharkina S.V., Vlasenko O.M., Ryzhkova E.A., Inzhenernyy vestnik Dona, 2021, no. 12.
  10. Sosfenov D.A., Innovatsii i investitsii, 2023, no. 5, pp. 149–152.
  11. Mentsiev A.U., Aygumov T.G., Emirova G.A., Inzhenernyy vestnik Dona, 2023, no. 2.
  12. Abramova А.А., Ekonomika i kachestvo sistem svyazi, 2023, no. 3.
  13. Kuzin E.G., Gornoe oborudovanie i elektromekhanika, 2023, no. 1(165), pp. 41–49.
  14. Lyapuntsova E.V., Izvestiya TulGU. Tekhnicheskie nauki, 2023, is. 7, pp. 263–266.
  15. Tarasova A., Glavnyy inzhener. Upravlenie promyshlennym proizvodstvom, 2019, no. 2; https://panor.ru/articles/problematika-vnedreniya-innovatsionnykh-tekhnologiy-na-proizvodstvennykh-predpriyatiyakh/6814.html#.
  16. Tsytsarova N., Fedyukova G., Ekonomika i upravlenie, 2022, no. 1(163).
  17. Dzhafari M.S., Drygin A.A., Nauchno-metodicheskiy elektronnyy zhurnal Kontsept, 2017, vol. 39, pp. 536–540; http://e-koncept.ru/2017/970434.htm.
  18. Kudukhova A.R., Skif. Voprosy studencheskoy nauki, 2019, no. 8(36).
  19. Shtarev V., Lazarev A., Komissarov K., CADmaster. Kompleksnaya avtomatizatsiya, 2007, no. 5(40).

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