PLM environment and digital innovation management in an aircraft manufacturing holding
https://doi.org/10.37493/2307-907X.2026.3.9
Abstract
Introduction. The article examines the PLM environment as a managerial infrastructure for digital innovation in an aircraft manufacturing holding. It is argued that under technological sovereignty, innovation management in civil aircraft manufacturing cannot be limited to project control of R&D budgets and schedules.
Goal. The study aims to reveal the PLM environment as an infrastructure for managing digital innovations in an aircraft manufacturing holding and to determine its importance for technological sovereignty of the industry.
Materials and methods. The research is carried out as a conceptual and analytical article on the management of high-tech industrial systems. The methodological basis consists of a systematic approach, institutional analysis, innovation management theory, the concept of digital assets and the product lifecycle approach.
The results and their discussion. The key object of management becomes the digital product lifecycle, including requirements, configurations, engineering changes, digital models, production data, certification artifacts, and operational feedback. The paper shows that the PLM environment is transformed from an engineering information system into the institutional core of the innovation architecture of a holding, ensuring end-to-end traceability, reuse of engineering knowledge, reduction of duplicated R&D, and integration of participants in aircraft manufacturing cooperation. Based on the international experience of Airbus, Dassault Systèmes, Rolls-Royce, GE Aerospace, and the Russian experience of UAC and Rostec, the article identifies PLM managerial functions in the digital transformation of aircraft manufacturing. Special attention is paid to the relationship between PLM, digital twins, predictive maintenance, generative artificial intelligence, and technological sovereignty.
Conclusion. The article concludes that PLM maturity is becoming one of the key factors in the innovation performance of an aircraft manufacturing holding.
About the Authors
N. Y. KoninaRussian Federation
Natalia Y. Konina – Dr. Sci. (Econ.), Professor, Head of the Department of Management, Marketing, and Foreign
Economic Activity
Scopus ID 57202468228
76, Vernadsky Ave., Moscow, 119454, Russian Federation
A. A. Dvoynikov
Russian Federation
Alexander A. Dvoynikov – Director General
Scopus ID 57197809633
19/1, Presnensky Val Str., Moscow, 123557, Russian Federation
References
1. Bazylev YaS, Fayzulin RV. Digital transformation of aircraft industry: assessment of information systems and application of digital technologies. Regional problems of economic transformation. 2023;5(151):78-83. https://doi.org/10.26726/1812-7096-2023-5-78-83. – ED. NDWXOK. (In Russ.).
2. Volchik VV, Fursa EV, Maslyukova EV. Public administration and the development of the Russian innovation system. Manager. 2021;12(5):32-49. https://doi.org/10.29141/2218-5003-2021-12-5-3. (In Russ.).
3. Eremin SG. Analysis of the economic effectiveness of industrial policy measures in the context of digital transformation. Forging and stamping production. Pressure treatment of materials. 2025;(1):122-132. (In Russ.).
4. Klimenko AV. Public administration in the digital age: trends and risks. Issues of state and municipal management. 2024;(1):8-32. (In Russ.).
5. Konina NYu, Dvoynikov AA. The use of digital technologies to improve the management of civil aircraft companies. Newsletter of North-Caucasus Federal University. 2026;1(112):60-68. https://doi.org/10.37493/2307-907X.2026.1.7. (In Russ.).
6. Konina NYu, Dvoynikov AA. Strategic innovation management in aircraft engineering: foreign experience and application possibilities in the Russian Federation. Bulletin of Tver State University. Series: Economics and Management. 2026;1(73):41-51. https://doi.org/10.26456/2219-1453/2026.1.041-051 ED. GRKDUN. (In Russ.).
7. Mammadova, LE, Gogolyukhina ME. The use of distributed production principles in the innovative development of industry in the Russian Federation. Shipbuilding. 2024;3(874):66-72. – EDN LMVXNX. (In Russ.).
8. Manturov DV. On Russia's industrial policy for the future 2018-2030. Bulletin of MGIMO University. 2018;4(61):7-22. https://doi.org/10.24833/2071-8160-2018-4-61-7-22. E-mail: YMZUXR. (In Russ.).
9. Simachev YuV, Fedyunina AA, Kuzyk MG. Russian industrial policy in the context of the transformation of the global production system and severe restrictions. Economic issues. 2022;(6):5-25. https://doi.org/10.32609/0042-8736-2022-6-5-25. (In Russ.).
10. Adu-Gyamfi BA. The role of digital twin technology in enhancing sustainable aviation transition: A state-of-the-art review and future direction. Journal of Open Innovation: Technology, Market, and Complexity. 2026;12(1):100693. https://doi.org/10.1016/j.joitmc.2025.100693.
11. Aydemir H, Zengin U, Pinon Fischer OJ, Durak U, Hartmann S. From iron birds to digital twins with engineering simulators: toward virtual certification. Journal of Aerospace Information Systems. 2025;22(7):583-593. https://doi.org/10.2514/1.I011569.
12. Cantamessa M, Montagna F, Neirotti P. An empirical analysis of the PLM implementation effects in the aerospace industry. Computers in industry. 2012;63(3):243-251.
13. Ceken S, Tuncal A. Artificial intelligence for sustainable aviation: a review on operational implementations and future perspectives. The Aeronautical Journal. 2026:1-46. https://doi.org/10.1017/aer.2026.10138.
14. Costa J, Farinha JT, Raposo H, Marques Cardoso AJ, Carmo A, Gonçalves P, Farto J. A systematic literature review on AI-driven predictive maintenance and fault detection in aircraft systems. Applied Sciences. 2026;16(7):3381. https://doi.org/10.3390/app16073381.
15. Göksidan HT, Solakoğlu E. How Product Lifecycle Management (PLM) Creates Value: An Evidence-Based Look at the Aerospace and Defence Industry. International Journal of Applied Industrial Engineering (IJAIE). 2025;10(1):1-18.
16. Du Y, Xu J, Yuan X. How public digital governance system affects firms digital technology innovation performance: base on open innovation perspective. Technology in Society. 2025;(83):103001. https://doi.org/10.1016/j.techsoc.2025.103001.
17. Kulkarni VN, Gaitonde VN, Kotturshettar BB. Product lifecycle management (PLM): a key enabler in implementation of industry 4.0: a key enabler in implementation of industry 4.0. Handbook of Smart Materials, Technologies, and Devices: Applications of Industry 4.0. Cham: Springer International Publishing; 2022. P. 349-380.
18. Lopes NM, Aparicio M, Neves FT. Challenges and prospects of artificial intelligence in aviation: a bibliometric study. Data Science and Management. 2025;8(2):207-223. https://doi.org/10.1016/j.dsm.2024.11.001.
19. Mas F. et al. A review of PLM impact on US and EU aerospace industry. Procedia engineering. 2015;(132):1053-1060.
20. Mulla FM. et al. PLM as a tool for collaboration in aerospace industries-A review. AIP Conference Proceedings. AIP Publishing LLC. 2021;2316(1):020004.
21. Pourzarei H. et al. Engineering change management: comparing theory to a case study from aerospace. International Journal of Product Lifecycle Management. 2024;15(4):318-342.
Review
For citations:
Konina N.Y., Dvoynikov A.A. PLM environment and digital innovation management in an aircraft manufacturing holding. Newsletter of North-Caucasus Federal University. 2026;(3):81–93. (In Russ.) https://doi.org/10.37493/2307-907X.2026.3.9
JATS XML






















