10.14489/td.2026.10.pp.040-046

2026, 10 October

DOI: 10.14489/td.2026.10.pp.040-046

Antipov D. V., Naugolnova I. A., Volkodavova E. V.
A CYBER-PHYSICAL QUALITY MANAGEMENT SYSTEM: DIGITAL AND PHYSICAL COMPONENTS
(pp. 40-46)

Abstract. The paper substantiates the need to transition to a cyber-physical quality management system for industrial enterprises, in which quality management is implemented not through subsequent monitoring and corrective actions, but directly during technological operations through continuous data exchange between physical objects and their digital models. Based on an analysis of modern digital tools (CAD/CAE/CAM, PLM, MES, ERP, CAQ, SCADA, and IoT), the digital and physical components of a cyber-physical quality management system are identified and systematized. It is shown that the primary digital model of a product is generated in CAD/CAE/CAM systems and managed by PLM. A digital twin of equipment can be recreated using a SCADA hardware and software system, IoT technologies, and an MES system, with MES playing a key role in linking equipment status parameters with the operation being performed and quality requirements. The digital twin of processes is recreated using PLM, MES, ERP, and CAQ systems.Examples of the practical implementation of the proposed approach at PJSC UEC-Kuznetsov and JSC RCC Progress using domestic solutions (KOMPAS-3D, LOTSMAN:PLM, SCADA systems, and a software developer integration bus) are provided. It has been confirmed that the implementation of the described components reduces geometric deviations by 24.8 – 30.1 % and decreases nonconformance diagnostic time by approximately 40 %. The study's results can be used in the design of cyber-physical quality management systems at industrial enterprises, as well as in the selection of hardware and software platforms for their implementation.

Keywords: cyber-physical quality management system, digital components, physical components, digital twin of equipment, digital twin of processes, MES, SCADA, IoT, PLM, KOMPAS-3D, LOTSMAN:PLM.

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D. V. Antipov (Samara National Research University named after Academician S. P. Korolev (Samara University), Samara, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
I. A. Naugolnova (Samara State Medical University, Ministry of Health of the Russian Federation, Samara, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
E. V. Volkodavova (Institute of Management, Samara State University of Economics, Samara, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.

+ - References Click to collapse

1. Dubovitsky, R. M. (2023). Digitalization and automation of product quality control at the enterprise. Upravlenie kachestvom, (11), 6–9. [in Russian language]. https://doi.org/10.33920/pro-01-2311-01
2. Panchenko, K. E. (2023). How the implementation of an automatic product quality control system at the production of vibro pressed tiles helped reduce defects by 80%. Upravlenie kachestvom, (8), 55–60. [in Russian language]. https://doi.org/10.33920/pro-01-2308-10
3. Federal Agency on Technical Regulating and Metrology. (2015). Quality management systems. Requirements (GOST R ISO 9001 2015). Standartinform. Retrieved February 4, 2026, from https://rustestm.ru/wp-content/uploads/2021/10/gost-r-iso-9001-2015-sistemy-menedzhmenta-kachestva-trebovaniya.pdf [in Russian language].
4. Leonova, T. I., Burylov, V. S., & Mamedov, E. E. (2020). Economic problems of quality management. SPBGEU. [in Russian language].
5. Savich, E. K., Vasilyeva, I. P., & Luzik, A. D. (2025). Digitalization of the quality management process for procurement and supply of raw materials and components. Izvestiya Samarskogo nauchnogo tsentra Rossiiskoi akademii nauk, 27(1), 75–83. [in Russian language]. https://doi.org/10.37313/1990-5378-2025-27-1-75-83
6. Savich, E. K. (2025). Digital quality management tools at product lifecycle stages. Omskii nauchnyi vestnik, (3), 19–26. [in Russian language]. https://doi.org/10.25206/1813-8225-2025-195-19-26
7. Alkhader, W., Jayaraman, R., Salah, K., et al. (2025). Transformations in manufacturing quality in the Industry 4.0 era: A semi centennial review using latent Dirichlet allocation. Computers & Industrial Engineering, 208, Article 111340. https://doi.org/10.1016/j.cie.2025.111340
8. Baiochi, R., Lizot, M., & Portela Santos, E. A. (2025). A review of quality improvement framework for Industry 4.0. Procedia CIRP, 132, 13–18. https://doi.org/10.1016/j.procir.2025.01.003
9. Musaeva, D., Myratlyev, A., Annagulyeva, A., & Charyeva, L. (2023). Digital twin and IoT technology for safe production systems. Naukosfera, (3 1), 161–165. [in Russian language].
10. Derkachev, S. V., Sidorov, V. A., & Oshovskaya, E. V. (2024). Opportunities and problems of using digital twins in the practice of repair services of industrial enterprises. Vestnik Luganskogo gosudarstvennogo universiteta imeni Vladimira Dalya. Ser. Tekhnicheskie nauki, (1), 21–31. [in Russian language].
11. Antipov, D. V., & Naugolnova, I. A. (2026). Scientific and practical approaches to creating a cyber physical quality management system for an industrial enterprise. Tekhnologii tekstil'noi promyshlennosti, (2). [in Russian language].
12. Naugolnova, I. A. (2026). Cyber physical quality management system. Kontrol'. Diagnostika, (9), 40–51. [in Russian language].

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DOI: 10.14489/td.2026.10.pp.040-046

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