Strategic Planning in the Face of Digital Transformation Challenges

DOI: 10.33917/es-1.193.2024.54-61

High dynamics of geopolitical changes, enhanced by expansion of the range of challenges facing the country, have exposed new requirements for government and economic management. The speed with which these requirements should be realized raises the issue of the need for a technological breakthrough in the field of management. And the scale of shifts in the global economy requires special attention to strategic planning, raising its role in the public administration system to a level that will ensure all government bodies’ orientation towards achieving the goals of social development that are being formed right now.

The article dwells on the issues of strategic planning technologization, the challenges to which a new strategic planning system should respond, some risks of digital transformation of the public administration sector and possible directions for overcoming them.


1. Aver’yanov M.A., Evtushenko S.N., Kochetova E.Yu. Tsifrovoe obshchestvo: novye vyzovy [Strategic Planning — Necessary Condition for Developing the Vital Activity of Modern Society]. Ekonomicheskie strategii, 2017, no 6, pp. 166–175.

2. Ukaz Prezidenta Rossiyskoy Federatsii ot 8 noyabrya 2021 g. N 633 “Ob utverzhdenii Osnov gosudarstvennoy politiki v sfere strategicheskogo planirovaniya v Rossiyskoy Federatsii” [Decree of the President of the Russian Federation of November 8, 2021 No. 633 “On approval of theFundamentals of State Policy in the Sphere of Strategic Planning in the Russian Federation”]. Garant, available at:

3. Putin prizval rasshirit’ natsional’nye tseli razvitiya [Putin called for expanding national development goals]. RIA Novosti, 2023, 21 dekabrya, available at:

Architectural Engineering of Hybrid Models Incorporating Digital Twins and Machine Learning

DOI: 10.33917/es-5.191.2023.94-99

In modern engineering of complex technical systems [1] digital twins and artificial intelligence systems started to be applied, while these subsystems have their own methods and tools for systemic, mathematical and computer modeling. Lack of a normalized approach to combining data from disparate sub-systems into a single system results in a “one-off” assembly methodology or in creation of unique digital models and intelligent systems, which impedes their further transformation into more complex both technical and intelligent systems. In this regard, the search for a standard form of representing such subsystems into a single system becomes relevant, along with the task of developing a methodology for the unified design and production of intelligent systems based on the use of model-oriented system engineering [2, 3, 4]. The work names and systematizes methods and techniques for such developments, demonstrates a standard approach to a normalized platform representation of models of various subsystems, which initially have their own methods and presentation tools; results of a normalized policy for constructing a platform of models from various subsystems for an anthropomorphic robot and spacecraft are described. Within the framework of the presented example, complementary methods of digital multiphysics modeling, digital twins and machine learning are positioned.


1. Romanov A.A. Prikladnoi sistemnyi inzhiniring [Applied Systems Engineering]. Moscow, FIZMATLIT, 2015.

2. Kondrat’ev V.V. Model’no-orientirovannyi sistemnyi inzhiniring 2.0 [Model-Based Systems Engineering 2.0]. Moscow, MFTI, 2021.

3. Garichev S.N., Gorbachev R.A., Davydenko E.V., Dzhaparov B.A., Kondrat’ev V.V. Model’no-orientirovannyi inzhiniring fiziko-tekhnicheskikh, informatsionnykh i intellektual’nykh system [Model-based Engineering of Physical, Technical, Information and Intelligent Systems]. Trudy MFTI, 2022, vol.

14, no 2.

4. Aleshchenko A.S., Klishev O.P., Kondrat’ev V.V., Rasskazov A.A. Sovmeshchenie arkhitekturnykh i matematicheskikh modelei v sistemnom inzhiniringe tekhnicheskikh system [Combination of Architectural and Mathematical Models in System Engineering of Technical Systems]. Kosmonavtika i raketostroenie, 2021, no 5.

5. Potyupkin A.Yu., Chechkin A.V. Iskusstvennyi intellekt. Na baze informatsionno-sistemnoi izbytochnosti [Artificial Intelligence. Based on InformationSystem Redundancy]. Mosc ow, Kurs, 2022.

6. GOST R 57700-37–2021. Komp’yuternye modeli i modelirovanie. Tsifrovye dvoiniki izdeliya. Obshchie polozheniya [GOST R 57700-37–2021. Computer

models and simulation. Digital twins of products. General provisions]. Kodeks. URL:

7. Borovkov A.I., Burdakov S.F., Klyavin O.I., et al. Komp’yuternyi inzhiniring [Computer Engineering]. Ucheb. posobie. Saint Petersburg, Izd-vo Politekhn.

un-ta, 2012.

8. Peredovye proizvodstvennye tekhnologii: vozmozhnosti dlya Rossii. Ekspertno-analiticheskii doklad: Monografiya [Advanced Manufacturing Technologies: Opportunities for Russia. Expert Analytical Report: Monograph]. Pod red. A.I. Borovkova. Saint Petersburg, Politekh-Press, 2020.

Theoretical concepts and methodological approaches to understanding production theory and cost analysis in the context of digitalization in microeconomics

DOI: 10.33917/mic-5.106.2022.62-68

The article examines the effectiveness of using digital doubles in the main sectors of the Russian economy. It is shown how the use of digital doubles affects the structure of production costs. The authors of the article attempt to argue the fact that the use of digital doubles and digital databases will make exponential economic growth possible. This trend is explained by the consequence of the increase in the performance of digital doubles, due to the action of Gordon Moore’s law of technological progress (the first law of 1965) and Arthur Rock’s law (Moore’s second law of 1998). In this regard, the authors adopt a new approach to substantiating the specific manifestation of the law of diminishing returns. It is concluded that in the short term, the simultaneous use of advanced digital technologies and a digital analogue of live labor pushes the boundaries of the law of diminishing returns, ensuring an increase in returns from the scale of production at a new round of microeconomic development.


1. Digital doubles will help earn billions of dollars. URL:

2. What are digital doubles and where are they used? URL:

3. Tsarev M.V., Andreev Yu.S. Digital twins of industry: history of development, classification, technologies, usage scenarios. URL:

4. Kuntsman M.V. Activity of cartels as a threat of economic security. / M.V. Kuntsman, A.A. Sultygova. Modern fundamental and applied research. 2015;4(19):142-144.

5. Digital doubles will help the Russian agro-industrial complex. URL:

6. The digital twin of the building is a new stage in the development of construction technologies. URL:

7. Security and IT in transport and transport infrastructure facilities. URL:

8. Shvyreva A.S. Investment support of transport infrastructure for ensuring transport security in the Russian Federation / Shvyreva A.S., Kuntsman M.V., Sultygova A.A. Automobile. Road. Infrastructure. 2016;4(10):14.

9. Starodubtsev G.V. On the issue of using budget funds in road construction (on the example of European countries and the USA) / G. Starodubtsev, S. Atonyazov, M. Kuntsman, A. Sultygova. Automobile. Doroga. Infrastructure. 2016;3(9):7.

10. Digital twins in retail – who are they and why do you urgently need to get acquainted with them? URL:

11. What is Moore’s Law and how does it work now? URL: /

12. If cars developed like computers. URL: 

13. Viber R. Empirical laws of the network economy. URL:

14. Arutyunova G.I. Microeconomics in questions, tests, tasks and case problems, situations, Internet tasks / G.I. Arutyunova, A.A. Sultygova. Moscow, 2014.

The structure of an adapted industry-specific architectural framework for insurance companies

DOI: 10.33917/mic-3.92.2020.36-43

The active development of digital twin technologies will lead to the appearance of digital copies for organizations, which works in the service sector. This also applies to insurance companies. Over time, new research and development in the field of dynamic management of enterprise architecture will be required. However, there are a low maturity level of both key business processes and enterprise architecture management processes in most Russian and companies that is an obstacle for development in the field of EA dynamic management. Analysis of existing foreign architectural and process frameworks (including industry ones) shows that they are poorly adapted for Russian realities. Russian architectural frameworks have not been developed yet. Cross-industry frameworks and approaches are too abstract, and foreign industry frameworks are based on reference models of business processes that are not relevant for Russian companies. The emergence of a relevant industry framework could help accelerate the development of digital twin technology for Russian insurance companies. Based on the analysis of several cases and existing architectural frameworks, the article proposed the structure of an adaptive architectural framework and built a map of top-level industrial business processes for Russian insurance companies.