KSHP. OMD №2-2025 el.dop

I. V. Rozhkov, I. K. Zakharenko, N. F. Soldatova, V. N. Rusin (Financial University under the Government of the Russian Federation, Moscow)

Analysis of the impact of big data integration on the efficiency and quality of stamping production

This article is dedicated to analyzing the impact of big data technologies on the efficiency and quality of stamping production. Key results show that the use of predictive analytics reduces the number of defects by 12,7 %, while the optimization of stamping parameters based on machine learning increases productivity by 8,3 %. The economic effect of implementing big data is estimated at a profitability increase of 5–7 %. The obtained results hold significant practical value and can be used to develop digitalization strategies in the stamping industry. Further research should focus on the creation of industry standards and the exchange of best practices in data analysis.
Keywords: big data; stamping production; machine learning; predictive analytics; process optimization; production digitalization.

 

Du Lei, Sun Che (Saint Petersburg State University, Saint Petersburg)

Development of mathematical models for optimizing stamping production processes using game theory and operations research methods

This study is dedicated to the development of mathematical models for optimizing stamping production processes using game theory and operational research methods. The objective of the work is to create a comprehensive methodology for modeling and optimizing stamping production processes based on modern mathematical tools. A mathematical model of the stamping process was developed in the form of an antagonistic game. A method for finding Nash equilibrium in mixed strategies was proposed (optimality coefficient of 0,87). A simulation model of the production system was constructed, reducing labor intensity by 15–20 %. Anoptimization software package was created and tested on real data (production efficiency increase of 12,5 %). The theoretical significance of the work lies in the advancement of the methodology for modeling complex production systems. The practical value consists in the possibility of applying the developed models and algorithms to improve the efficiency of stamping production. Further research should focus on accounting for stochastic factors and the dynamics of the parameters in the modeled systems.
Keywords: stamping production; optimization; game theory; operations research; mathematical modeling; simulation modeling; Nash equilibrium.

 

S. A. Tronin (Financial University under the Government of the Russian Federation, Moscow)

Developing strategies for the implementation of artificial intelligence and big data to optimize supply chains in the industrial sector

This article is devoted to the development of strategies for the implementation of artificial intelligence (AI) and big data technologies to optimize supply chains in the industrial sector. The study is based on the methods of system analysis, mathematical modeling and expert assessments. The empirical base included data on 50 large manufacturing companies from various industries. The results showed that the integrated use of AI and big data analytics can reduce operating costs by 12–18 %, increase the accuracy of demand forecasting by 20–25 % and accelerate inventory turnover by 10–15 %. At the same time, the key factors for success are a careful selection of data analysis tools, ensuring the integration of information systems, and developing personnel competencies. The findings are of high practical significance and can be used to improve the efficiency of supply chain management in industrial companies. It is advisable to focus further research on the development of detailed methods for the implementation of AI and big data, taking into account industry specifics.
Keywords: supply chain; artificial intelligence; big data; optimization; industry; implementation strategy.

 

V. B. Frolova (Financial University under the Government of the Russian Federation, Moscow)

Evaluation of the efficiency of using digital models for business process reengineering and structural modernization of industrial enterprises

The paper considers the potential of using digital models for business process reengineering and structural transformation of industrial enterprises. A critical review of relevant studies from highly rated journals over the past 5 years has been conducted, key trends and gaps in the study of the problem have been identified. An original methodology based on a combination of process and project approaches has been proposed, its uniqueness and novelty have been substantiated. It is found that the use of digital models can increase the efficiency of reengineering by an average of 23 %, reduce project deadlines by 19 %, and reduce costs by 15 %. The feasibility of integrating digital technologies at all stages of transformation has been substantiated. The results have high theoretical and practical significance and open up new prospects for further research.
Keywords: digital model; business process reengineering; structural modernization; industrial enterprise; transformation; efficiency.

 

N. L. Krasyukova, K. V. Kharchenko, E. I. Moskvitina, E. I. Voronova (Financial University under the Government of the Russian Federation, Moscow)

Support for the production of high-tech products as a way to implement the «smart territories» model

Despite the completion of the Smart City project of the Russian Ministry of Construction in 2024, it cannot be noted that the results achieved are complete, as evidenced by the continuing problems. One of these problems is the insufficient production and technological support for the development of «smart cities» and «smart territories», towards which the vector of development is increasingly shifting in the context of scaling digitalization to entire agglomerations and separate rural areas. The authors proved that the need for state support for the production of high-tech products for «smart territories» is due to the inability of the market mechanism to offset existing risk factors. Special attention is paid to assessing the interest shown by government authorities, business, and the scientific and educational community in technologies for «smart cities» and «smart territories» in the digital environment; organizational conditions necessary for the implementation of the innovation cycle of high-tech products based on the internal resource potential of the state, as well as existing measures to support the production of high-tech products. The risk factors for the implementation of the full innovation cycle of «smart technologies» are outlined. It is concluded that it is necessary to support industry and small technology companies, use the potential of defense industry organizations, as well as develop territorial marketing tools in order to advantageously position smart territories.
Keywords: smart cities; smart territories; high-tech products; government support; risks.

 

A. I. Galkin (Financial University under the Government of the Russian Federation, Moscow)

Industrial policy as a tool for stimulating import substitution and ensuring economic security

The article examines the use of industrial policy as a tool for stimulating import substitution and ensuring economic security. Based on the analysis of a wide range of scientific publications of recent years in highly rated journals, key theoretical and methodological approaches to the study of this issue have been identified. A conceptual analysis of the terminology has been conducted, and the author's definitions of basic concepts have been proposed. The current gaps in the study of the topic have been identified, and the novelty and non-triviality of the ideas implemented in the study have been substantiated. Based on a representative empirical base, including statistical data on import dynamics and indicators of economic security in Russia for 2015-2022, and using economic and statistical methods, it has been proven that targeted industrial policy contributes to effective import substitution in strategic industries (mechanical engineering, pharmaceuticals, electronics) and strengthening the country's economic sovereignty. Regression models have been constructed that quantitatively assess the relationship between industrial policy instruments (subsidies, tax incentives, domestic market protection) and import substitution indicators (share of domestic products, production growth rates). Promising directions for implementing industrial policy are substantiated taking into account global technological trends and sanction restrictions. The results of the study have significant theoretical value for the development of neo-industrialization and economic security concepts, as well as practical applicability in developing import substitution strategies and programs at the state level.
Keywords: industrial policy; import substitution; economic security; technological sovereignty; neo-industrialization, sanctions.

 

N. V. Kuchkovskaya (Financial University under the Government of the Russian Federation, Moscow)

The impact of artificial intelligence and big data on improving the competitiveness and sustainable development of industrial enterprises

The proposed study is aimed at assessing the impact of the introduction of artificial intelligence (AI) and big data technologies on the competitiveness and sustainable development of industrial enterprises. A conceptual analysis of modern scientific literature was conducted, which revealed key trends and unresolved issues in this area. Based on a critical understanding of the terminology, the author's definition of competitiveness in the context of digital transformation of production is proposed. A conceptual model has been created that links the development of the AI potential of an enterprise with the growth of its dynamic capabilities and sustainable competitive advantages. The results of the study are significant for the development of the theory of strategic and innovative management, and can also be used in the development of digitalization programs at the level of enterprises and industries.
Keywords: artificial intelligence; big data; digitalization of production; competitiveness; sustainable development; dynamic capabilities.

 

N. V. Kuchkovskaya (Financial University under the Government of the Russian Federation, Moscow)

Comprehensive analysis of the use of data centres and distributed data storage in increasing the competitiveness of industrial enterprises through strategic development

The article provides a comprehensive analysis of the role of data centers and distributed data warehouses in increasing the competitiveness of industrial enterprises through strategic development. Based on a critical review of the literature from highly rated journals, key trends and unresolved issues in this area are identified. A refined terminology of the main concepts is proposed. An empirical study covering a sample of 150 industrial enterprises was conducted using statistical and cluster analysis methods, structural equation modeling. It was found that the strategically oriented use of data centers and distributed data warehouses, integrated with the overall business strategy, contributes to the growth of the competitiveness of enterprises in terms of innovation (β = 0,38; p < 0,01), flexibility (β= 0,29; p < 0,01), customer focus (β = 0,34; p < 0,01). The results of the study have theoretical value for the development of the resource approach in strategic management and practical significance for optimizing the IT infrastructure of industrial enterprises. Prospects for further research are outlined, taking into account industry specifics and the dynamics of technological innovations.
Keywords: data centers; distributed data storage; industrial enterprises; competitiveness; strategic development; resource approach; IT infrastructure.

 

S. G. Eremin (Financial University under the Government of the Russian Federation, Moscow)

Assessing the impact of industrial policy on the investment attractiveness of the industrial sector

The article is devoted to assessing the impact of industrial policy on the investment attractiveness of the industrial sector. Based on the literature analysis, the main trends and gaps in research on this issue are identified. The author's terminology of key concepts is proposed. The relevance and novelty of the study, based on the integrated use of econometric methods and qualitative analysis, are substantiated. The empirical base consisted of data on 500 industrial enterprises for the period 2015-2023. It was found that industrial policy measures related to fiscal incentives and infrastructure support have a significant positive impact on the inflow of investment into industry (elasticity coefficient of 0.78). At the same time, the effectiveness of the policy varies significantly depending on the technological level of industries and the size of enterprises. Specific barriers to investment activity in high-tech sectors are identified. The results obtained contribute to the theory of industrial policy and can be used to improve the validity of management decisions. The research prospects are related to the expansion of the set of analyzed policy instruments and cross-country comparisons.
Keywords: industrial policy; investment attractiveness; industrial sector; econometric modeling; fiscal incentives; technological level.

 

A. V. Semenov, Sh. U. Niyazbekova (Moscow Witte University, Moscow); M. R. Tashtamirov (Kadyrov Chechen State University, Grozny)

About industrial mortgages and standard factory mortgages in The People's Republic of China in the modern market

The article discusses the development of industrial mortgages. The conditions of the industrial mortgage and the features of the Chinese standard factory mortgage loan in the countries are presented. It was noted that in 2024, the industrial mortgage development policy effectively contributed to the transformation and modernization of industry, stimulating the release of consumer potential and stimulating industrial economic growth. The factors and growth rate of Chinese industrial loans have been studied. Thus, under the influence of factors such as the equipment renewal policy, the added value of industries such as the production of ships and related equipment, the production of radio and television equipment, as well as the production of lithium-ion batteries, a number of indicators increased compared to the previous year.
Keywords: industrial mortgage; standard factory mortgage loan; program operator; loan interest rate subsidy; standard factory buildings; industrial and business premises; investments in the manufacturing industry.

 

E. V. Borovikova (Russian Academy of National Economy and Public Administration under the President of the Russian Federation, Moscow)

Tax debt management in order to increase financial stability in the economy

The presence of tax debt in the economy worsens the financial condition of organizations, negatively affects the ability of the state to implement its functions, since it reduces its financial potential. In the modern conditions of development of automated methods of tax control and digital services for taxpayers, the problem of debt on mandatory payments to budgets is still relevant, which is confirmed by statistical data on its amounts, dynamics, issues of application of rules regarding the procedures for its assessment and settlement that arise in practice. The scientific results of the study are to determine the main trends in changes in tax debt in Russia; substantiation of the influence of a number of indicators on the amount of tax debt in the state based on an econometric model, which can be used as a basis for further research on the factor influence on the most important fiscal indicator; identification of the main risks caused by the accumulation of outstanding debt and impeding sustainable economic development; development of proposals for managing tax arrears through the efforts of government bodies and organizations, improving the state's tax policy in order to increase the stability of the financial system.
Keywords: tax arrears; corporate profits; investments; tax control; financial management; financial system; risks.

 

G. A. Gareeva (Kazan National Research Technical University named after A. N. Tupolev - KAI, Naberezhnye Chelny); Z. SH. Aglyamova, A. A. Mirsaitova (Kazan Innovative University named after V. G. Timiryasov, Naberezhnye Chelny); N. R. Zakirova (Naberezhnye Chelny State Pedagogical University, Naberezhnye Chelny); A. G. Faizullina (Kazan (Volga Region) Federal University, Naberezhnye Chelny Institute, Naberezhnye Chelny)

Development of software for control and monitoring of enterprise employees' competencies

The article presents the process of developing software for control and monitoring of enterprise employees' competencies. The development of a software product will ensure prompt assessment of the team's strength, tracking the development of employees' professional skills, and will simplify the task of assigning competent employees to projects for managers.
Keywords: automation; software; monitoring; competencies; database; Visual Studio; C#.

 

E. A. Babeshko (Moscow State University of Civil Engineering (National Research University), Moscow)

Practice of forming managerial competencies of a future specialist at a university in the context of innovative technologies

The article is devoted to the application of innovative teaching technologies, the problems of their provision and the formation of the ability of scientific and pedagogical staff of the university to create a technological and methodological environment in which the material on the implementation of training in innovative teaching technologies is presented, it is determined how much innovative technologies are involved in the educational and didactic material in the formation of managerial competencies in the conditions of higher education on the example of studying the discipline «Personnel Management».
Keywords: development of management competencies; contextual learning; technological and methodological content; personnel.

 

A. R. Alaverdov, N. V. Gromova, A. G. Dmitriev, A. N. Fomichev (Synergy University, Moscow)

Coaching interaction within the life cycle of an organization, in the context of sustainable development

An important driver of the organization is its activities in the context of sustainable development, which means that the company must take care of the environment, take into account the social needs of its employees and customers, and strive for economic efficiency. This article analyzes the use of coaching interaction to promote sustainable growth and development of a company in the context of the five-stage life cycle model of Miller and Friesen. The findings allowed us to propose an open model that demonstrates the relationship between existing forms and types of coaching and the phases of the organization's life cycle. The developed model provides an opportunity to optimize the coaching process at any stage of the life cycle. The value of this model also lies in the fact that by choosing the optimal way to conduct coaching events, it significantly increases the value of corporate development programs and coaching support.
Keywords: coaching; organizational life cycle; organizational development; sustainable efficiency; expert survey; sustainable development; ESG; innovations.

 

S. A. Tronin (Financial University under the Government of the Russian Federation, Moscow)

Analysis of the prospects for using artificial intelligence and big data for digital transformation of industrial production processes

This article is devoted to a comprehensive analysis of the possibilities and prospects for using artificial intelligence (AI) and big data technologies for digitalization and optimization of industrial production. Based on a systematic review of current research and empirical analysis of advanced cases, the author identifies key trends and potential for integrating AI into such aspects as predictive analytics, process automation, quality control, and supply chain optimization. It is emphasized that the synergy of AI and big data opens up new opportunities for increasing the efficiency, flexibility, and customization of production. The paper proposes a conceptual model for the phased implementation of AI solutions taking into account industry specifics. Statistical analysis on a sample of 150 industrial enterprises shows that the use of the proposed model can increase the overall equipment efficiency by 12–18 %, reduce costs by 10–15%, and reduce the percentage of defects by 20–25 %. The obtained results make a significant contribution to the development of the theory and practice of digital transformation of industry, outlining the vectors of further research and applied work on the optimization of production processes based on AI technologies.
Keywords: artificial intelligence; big data; digital transformation; industrial production; Industry 4.0; predictive analytics; process optimization.

 

A. V. Semenov, Sh. U. Niyazbekova (Moscow Witte University, Moscow); L. A. Pogorelova, V. V. Shabelnikova (Platov South Russian State Polytechnic University); S. Yu. Murtuzalieva, S. I. Adinyaev, А. А. Rodionov. B. Bissenbayev (Patrice Lumumba Peoples' Friendship University of Russia, Moscow); L. V. Shirshova (RANEPA, Patrice Lumumba Peoples' Friendship University of Russia, Moscow); I. A. Rizvanova, D. E. Morkovkin, N. N. Gubskaya (Financial University under the Government of the Russian Federation, Moscow); A. Sh. Gizyatova (RGSU, Moscow)

Artificial intelligence technologies for product quality control in mass production

The article proposes a new approach to product quality control using artificial intelligence technologies. The analysis of domestic and foreign experience in the introduction and use of artificial intelligence at machine-building enterprises was carried out. During implementing production activities at machine-building enterprises, quality control of manufactured products at all stages of the technological process is a fairly relevant area for cost reduction. Timely detection of defects helps to minimize production costs and reduce the labor intensity of manufactured products. Traditionally used quality control methods, including manual checks and random testing, are quite limited in accuracy due to the factor of human error and speed. Trends in digital transformation determine possible trends towards minimizing the cost of quality control of output products using artificial intelligence technologies.
Keywords: digital transformation; artificial intelligence; product quality control; mechanical engineering products.

 

O. V. Brizhak (Financial University under the Government of the Russian Federation, Moscow); A. T. Dantas (Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil)

Development of the shipbuilding industry of the modern economy: Russian and international experience

The current conditions of the turbulent development of the economies of many countries of the world are associated with the emerging profound shifts in science, technology and socio-economic transformations. Studying the experience of industries operating in difficult economic and technological conditions is an urgent research task, since Russian companies will have to find new ways of development in the face of harsh sanctions. Evaluating the above presentation, we would like to point out the connection clearly recorded in it between the results of modern transformations in the shipbuilding industry and the new reality. It is characteristic that many global projects and international agreements outlined earlier have been curtailed or suspended under these conditions. In their place came national projects, special behaviors of many countries in the world dictated by national interests (in this regard, the example of Russia is very characteristic), as well as reliance on their own, often hidden resources for the development of the national economy. This circumstance further actualizes the stated problem, bringing to the forefront of its development the development in conditions of severe external constraints. The authors of the article, developing the above provisions, formulated the conclusion that the conditions of external constraints contribute to the formulation of new approaches to the study of the stated problem and specific tasks for the development of enterprises in the shipbuilding industry.
Keywords: shipbuilding industry; competitiveness; lean manufacturing; economic development; technology; automation; clusters; system economy.

 

V. V. Karlusov, D. A. Yarkov (MGIMO University, Moscow)

Cooperation between Russia and China in non-ferrous metallurgy: resource and production potential and trade structure

The article considers the common potential and the current stage of cooperation between Russia and China in the field of non-ferrous metallurgy from the general methodological positions of the system analysis of the world economy and international economic relations. At the same time, the resource and raw material base of this industry in our countries is analyzed, including the size of reserves of specific metals and their geographical distribution. The territorial and subindustrial structures of production are analyzed, including the specifics of the location of the main enterprises. The problems of the development of non-ferrous metallurgy related to the impact of internal and external factors and circumstances are revealed. The nomenclature of bilateral trade in basic non-ferrous metals at the present stage is considered. The current state, trends and prospects of trade, production and investment cooperation between the Russian Federation and the People's Republic of China in non-ferrous metallurgy are analyzed. As a result of the analysis, a number of specific conclusions and generalizations were made, in particular, it was stated that both Russia and China have some of the world's largest reserves of non-ferrous and rare metals, which complement each other. The factor of complementarity of resource potentials is one of the objective prerequisites for cooperation between enterprises of our countries in the field of non-ferrous metallurgy. It is also necessary to highlight the generalizing conclusion that trade, production and investment cooperation between Russia and China in the field of non-ferrous metallurgy has great prospects, supported by a combination of objective resource-economic and geopolitical, internal and external factors.
Keywords: Russia; China; non-ferrous metallurgy; resource potential; structure and location of production; complementarity; trade; investment cooperation.

 

T. N. Sakulyeva (State University of Management, Moscow)

The environmental component of freight transportation by road

Road transport is one of the main sources of environmental pollution. The direct impact of road transport on the environment includes emissions of carbon dioxide, nitrogen oxides and other toxic gases into the atmosphere. The indirect impact of motor transport on the environment is carried out through the processes of extraction, production and transportation of fuel, as well as the manufacture of cars. The article explores ways to reduce the impact of road transport on the environment. Using the example of PEK LLC, various options for reducing environmental pollution by vehicles are analyzed.
Keywords: road transport; freight transportation; environmental pollution; environmental component.

 

N. L. Krasyukova, E. I. Moskvitina, E. I. Voronova (Financial University under the Government of the Russian Federation, Moscow)

Current directions of state support for the development of production and technological potential of the regional innovation ecosystem

As a result of the analysis of the content of the national development goals of the Russian Federation for the period up to 2030 and for the future up to 2036, the strengthening of the vector of sustainable development in the modern Russian system of public administration has been revealed, which largely determined the relevance of the study of promising areas of state support for regional innovation ecosystems, characterized (unlike regional innovation systems) by the ability to self-sustainably development. The authors substantiate that in order to achieve these national goals, it is necessary to stimulate the development of production and technological potential as one of the key subsystems of the regional innovation ecosystem. Based on Rosstat data, using the example of the regions of the Volga Federal District, the authors assessed key indicators characterizing the production and technological potential of the regional innovation ecosystem and, in particular, mathematically proved a stronger dependence of the number of advanced production technologies on the number of «technicians» (including engineers) than on the number of «researchers». Based on the analysis of Russian and foreign practice and scientific research, the current directions of state support for the development of the industrial and technological potential of the regional innovation ecosystem are clarified and, using the example of the Ulyanovsk region, it is proved that the implementation of these directions contributes to the formation of its key elements.
Keywords: regional innovation ecosystem; production and technological potential, advanced production technologies, engineers, system approach

 

I. V. Shatskaya, E. R. Zhdanov, R. A. Yafizova, K. D. Skobelev, A. A. Shpak (MIREA – Russian Technological University, Moscow)

Strategic socio-ecological assessment of the Arctic zone as a regional management tool

The article is devoted to current issues of regional management. Strategic socio-ecological assessment is considered as a management tool that ensures effective goal-setting, development and implementation of a regional development strategy. The article describes the methodology of strategic socio-ecological assessment using the example of the Arctic region, and considers the potential opportunities that its application provides in the interests of ensuring sustainable development of the Russian North. In accordance with the goal, tasks related to the study of the content of the scientific categories «socio-ecological assessment» and «environmental impact assessment» are set, as well as an overview of the methodology of strategic socio-ecological assessment of the Arctic. The theoretical and methodological basis of the article are the scientific achievements of the scientific school of strategizing at Moscow State University named after M.V. Lomonosov under the leadership of Academician of the Russian Academy of Sciences V.L. Quint, as well as domestic and foreign scientists on issues of monitoring environmental factors and assessing their impact on regional development. To substantiate the achieved results, a set of scientific methods and approaches was used: analysis and synthesis, comparison, generalization, scientific abstraction.
Keywords: Arctic zone; strategic socio-ecological assessment; regional management; strategic development; ecosystem; permafrost.

 

M. A. Kicha (IAELPS, St. Petersburg); V. A. Valuisky (Military Academy of Logistics, St. Petersburg); V. S. Mikhailenko (Kuznetsov Naval Academy, St. Petersburg)

Substantiation of the relevance of rationing of toxicological indicators used in substantiating the chemical safety of potentially hazardous facilities

The article provides an analytical review of standardization documents, guidance documents from various departments, sanitary and hygienic standards and regulations, as well as literary sources of information on the sufficiency of existing standards for the permissible content of substances in the air of potentially hazardous facilities. The results obtained indicate that the sanitary and hygienic requirements for the air of potentially hazardous facilities in everyday operating conditions are most fully represented by sanitary norms and regulations, however, they need to be clarified in terms of requirements for oxygen deficiency and excess. Sanitary and hygienic requirements in emergency operating conditions of facilities are currently not standard values, vary in various sources of information and are limited. The results obtained can be used to justify the need for scientific research.
Keywords: chemical safety; harmful substances; toxicity.

 

N. L. Krasyukova (Financial University under the Government of the Russian Federation, Moscow)

Strategic directions for the development of priority sectors of domestic industry

The article is devoted to several aspects of the development of priority sectors of domestic industry. The author carried out a stage-by-stage development of industry, which made it possible to analyze the development of industry at the present stage and correlate the achieved results with the strategic planning tools used (strategies at the national, sectoral and regional levels). Were identified shortcomings in the system of strategic planning and application of strategies in domestic industry.
Keywords: instruments of public administration; technological sovereignty; industrial policy; strategic planning.

 

O. V. Panina (Financial University under the Government of the Russian Federation, Moscow)

The formation of a hybrid industrial management model in the first half of the 1920s

The approaches to the reform of the industrial management system in the first half of the 1920s are analyzed. The author substantiates the thesis that at that time there is an active search for new forms, methods and tools of industrial management in the conditions of the end of the policy of «war communism». The transition to a new economic policy has led to the formation of a hybrid industrial management model, in which centralized and territorial industrial management models have found their application.
Keywords: Ministry of Trade and Industry; industry; public administration; industrial complex; industrial policy; modernization.