KSHP. OMD №7-2025 el.dop

M. A. Petrov, Muchineripi Wilfred Mukora (Moscow Polytechnic University, Moscow)

Mathematical modeling of high-temperature corrosion and die wear during hot metal stamping using the Lua programming language

High-temperature corrosion is a significant issue in metal processing, particularly during the hot stamping of aluminum alloys. This article presents a mathematical model implemented in the Lua programming language to describe corrosion processes and their impact on metal surfaces under elevated temperatures. The model includes equations for reaction kinetics, diffusion, and corrosion rates, enabling a more accurate analysis of degradation mechanisms. The developed subroutine integrates with QForm software and can be used during postprocessing. The results demonstrate the dependence of corrosion rate on temperature and the concentration of aggressive media, offering valuable data for improving the efficiency of hot stamping processes. The model also serves as a tool for selecting corrosion-resistant materials and optimizing process parameters.
Keywords: corrosion at high temperatures; hot metal stamping; mathematical modelling; programming in Lua; QForm.

 

L. V. Desnitskaya, I. A. Matveev, V. V. Desnitsky (Peter the Great St. Petersburg Polytechnic University, St. Petersburg)

Improving the directionality of solidification of thin-walled castings

The possibility of a more rational distribution of mechanical properties in GTU blades is investigated, which will allow to increase the service life of the installation somewhat. At the beginning, the distribution of mechanical properties in the blade is determined under the usual technology. The analysis of this distribution will allow to outline small changes in individual parameters of standard technological modes. More accurate implementation of technological processes of casting and heat treatment allows to change the distribution of mechanical properties, approaching the optimal one.
Keywords: gradient of directional solidification; thin-walled steel castings; dense structure of castings; chromium-nickel steel.

 

A. A. Shkileva, E. V. Vasiliev (Tyumen Industrial University, Tyumen)

Non-destructive testing of metal products and structures: methods and characteristics

The methods of non-destructive testing of materials, their advantages and application features are presented. Particular attention is paid to the characteristics of the methods that allow assessing the strength, integrity and reliability of metal structures. The authors emphasize the need to implement non-destructive testing as a key tool for ensuring the quality and durability of constructed objects.
Keywords: control; non-destructive testing methods; metal structures; quality.

 

A. G. Sokolova (National Research Moscow State University of Civil Engineering, Moscow)

Synthetic wollastonite based on rice husk ash as an effective filler

This article is devoted to the study of the influence of mineral modifier synthetic wollastonite based on rice husk ash and limestone as the source of calcium oxide on the technological properties of ceramic mixes based on the clay of the Yaushskoye deposit. The optimal content of the modifier in the charge composition, which allows to obtain ceramic products with improved strength and thermal insulation properties, has been determined experimentally. Improvement of properties of ceramic materials with additives of synthetic wollastonite is due to the reduction of cracking, which also reduces the number of defects of ceramic products during drying.
Keywords: rice husk ash; synthetic wollastonite; modification; ceramic materials; clay of Yaushskoye deposit; composite materials. 

 

V. V. Sakhnov (Russian Presidential Academy of National Economy and Public Administration, Moscow)

Transformation of energy equipment supply chains under multipolar conditions: the experience of PAO «Energotehkom»

The study is devoted to the analysis of the transformation of international supply chains for energy equipment in the context of forming a multipolar economic system. The paper examines the structural changes in global supply chains using the example of the Russian company PAO «Energotehkom» which specializes in the production and supply of high-tech energy equipment. The research methodology is based on a combined approach, including time series analysis, multivariate modeling, expert surveys of logistics department heads, and econometric analysis of the efficiency of alternative routes. The empirical base consisted of data on 128 logistics routes of the company over 2018–2023, materials from expert interviews with 42 industry representatives, and statistical datasets characterizing the dynamics of international logistics indicators in the Eurasian region. The results of the study demonstrate that sanction pressure initiated a five-stage transformation of the company’s logistics strategies, leading to the diversification of suppliers, geographical reconfiguration of routes, and the implementation of innovative logistics solutions. Econometric analysis revealed an 18,7 % improvement in the efficiency of the new logistics architecture along with a simultaneous reduction in delivery time volatility by 23,5 %. The study makes a theoretical contribution to the development of the concept of adaptive logistics under conditions of geo-economic turbulence and offers a practical toolkit for optimizing international supply chains in the energy sector in a multipolar world.
Keywords: international logistics; supply chains; energy equipment; multipolarity; sanctions pressure; logistic resilience; structural adaptation.

 

G. A. Gareeva (KNITU-KAI, Naberezhnye Chelny); A. G. Faizullina (Naberezhnye Chelny Institute of KFU, Naberezhnye Chelny); Z. Sh. Aglyamova, A. A. Mirsaitova, A. A. Zagitov (V. G. Timiryasov State University of Economics, Naberezhnye Chelny))

Automation of the process of setting up workstations for new users

The article presents the process of developing a software product designed to automate and control the work of technical support and maintenance specialists to ensure the provision of IT services. This development solves the problem associated with the process of providing a service for setting up equipment for a new user, in which there is no mechanism for monitoring the verification of this process. The implementation of the program can lead to a significant reduction in time and resource costs, as well as to an increase in the efficiency of the technical support department and the creation of more comfortable conditions for starting work at the enterprise.
Keywords: automation; setting up workstations; software; control; technical support; Visual Studio; C#.

 

I. V. Trifonov, G. I. Gumerova, E. R. Mukharramova, E. N. Belozorova, Yu. A. Pakhomova (Financial University under the Government of the Russian Federation, Moscow); E. Sh. Shaimieva (Kazan Innovative University named after V.G. Timiryasov (IEPU), Kazan)

Integration of industry 4.0 technologies into production ecosystems: a multifactor analysis of the impact on R&D efficiency

Modern manufacturing enterprises face the need to integrate Industry 4.0 technologies to maintain competitiveness in the era of global digitization. This study aims to develop and test a comprehensive methodology for assessing the impact of digital technologies on the effectiveness of research and innovation activities in the industrial sector. The paper utilizes a multi-level methodological approach that combines quantitative and qualitative methods: structured interviews with R&D unit managers (n = 42), multifactor statistical analysis of production and innovation performance indicators of enterprises (n = 128), and a longitudinal analysis of digital solution implementations at production facilities across three industries. The results demonstrate a statistically significant correlation (r = 0,78; p < 0,001) between the degree of integration of Industry 4.0 technologies and key indicators of innovation performance. It is found that the implementation of intelligent production systems reduces the new product development cycle by 27,3 % while simultaneously increasing quality characteristics by 18,5 %. The proposed methodology allows forecasting the efficiency of investments in digital transformation with an accuracy of up to 82,6 %. The study makes a significant contribution to the theoretical understanding of transformational processes in modern industrial production and forms a practical toolkit for strategic planning of enterprises' innovation activities in a digital economy.
Keywords: Industry 4.0; innovation efficiency; digital transformation; research and development; industrial automation; predictive analytics; multifactor analysis.

 

O. B. Skripnik (Financial University under the Government of the Russian Federation, Moscow)

Integration of a risk-oriented approach into the investment strategy of industrial enterprises in the conditions of technological transformation

Modern industrial enterprises operate in conditions of heightened uncertainty driven by rapid technological transformation and the volatility of global markets. This study aims to develop an integrated model for assessing and mitigating risks in the formation of the investment portfolio of industrial enterprises, taking into account sectoral specifics and the technological intensity of production. The methodological foundation of the work is a combined approach, including multifactor statistical analysis, simulation modeling using the Monte Carlo method, and expert evaluation. The empirical basis of the research covers data from 147 industrial enterprises in Russia and the EEU countries for the period 2018–2023. The research results demonstrate significant differentiation in the effectiveness of various methods for assessing investment risks depending on the sectoral characteristics of the enterprises. It was found that integrating technological, market, and operational components when assessing the overall investment risk increases predictive accuracy by 27,4 % compared to traditional single-factor models. The developed composite index of investment sustainability enables a 18,6 % increase in the efficiency of investment resource allocation while simultaneously reducing the probability of critical risks by 23,9 %. The theoretical significance of the study lies in the development of a methodological framework for risk management applicable to the specifics of industrial investments, and its practical value lies in the potential for implementing the proposed model within the investment decision-making systems of industrial enterprises of various profiles.
Keywords: investment risks; industrial enterprises; risk-oriented approach; technological transformation; investment sustainability; multifactor risk assessment.

 

A. M. Laffakh (Financial University under the Government of the Russian Federation, Moscow)

Prospects for the development of the automotive industry in the Russian Federation: does the passenger car manufacturing sector have a future?

The article analyzes the current state of the Russian automotive industry, which is experiencing a deep crisis. It considers the factors that influenced a significant drop in passenger car production in 2022 (more than 70 % compared to 2021), including economic sanctions, the departure of foreign automakers and the disruption of supply chains. It is emphasized that the crisis has exceeded the negative consequences of the COVID-19 pandemic. The article analyzes government support measures for systemically important enterprises that made it possible to maintain production despite the difficult conditions. The article raises the question of the prospects for the development of the industry in the passenger car manufacturing sector and the need to take into account economic, political and technological factors to determine the further strategy. Statistical data are provided illustrating the dynamics of industrial production of passenger cars for the period from 2019 to 2025. Particular emphasis is placed on the adaptation of the industry to the new global realities.
Keywords: automotive industry; passenger cars; sanctions; localization; government support; import substitution; electric vehicles; market; prospects.

 

L. K. Babayan (Financial University under the Government of the Russian Federation, Moscow)

Development of proposals to eliminate barriers to the development of the electronics industry

The article examines the key barriers hindering the development of the Russian electronics industry in the context of sanctions pressure and global technological challenges. The author analyzes the strategic problems of the industry, including technological lag in the civilian sector, dependence on imported components (up to 90 %), low efficiency of state programs and imbalance between the defense and civilian segments. Based on the SWOT analysis, the author identifies strengths (advanced technologies of the military-industrial complex, scientific potential) and weaknesses (staff shortage, equipment depreciation), as well as opportunities (cooperation with Asia, breakthrough technologies) and threats (sanctions, competition). Particular attention is paid to regional imbalances: concentration of resources in Moscow, St. Petersburg and individual industrial clusters with stagnation of peripheral regions. The author criticizes the declarative nature of strategic documents, noting the lack of mechanisms for creating closed production cycles and radiation-resistant electronics for the defense industry. The author emphasizes the need for a differentiated approach to the regions, strengthening the role of the private sector and revising the industry management system. The key risks to the implementation of strategies are identified as bureaucratic barriers, dependence on Chinese technologies and lack of funding.
Keywords: radio-electronic industry; import substitution; technological sovereignty; SWOT analysis; cluster development.

 

I. N. Makarov, O. U. Smyslova (Financial University under the Government of the Russian Federation, Lipetsk branch, Lipetsk); E. A. Ryazantseva (Lipetsk State Pedagogical University named after P. P. Semenov-Tyan-Shansky, Lipetsk)

The need to ensure the formation of an optimal policy for the spatial-industrial development of the country

In the modern political and economic discourse, the issues of territorial integrity of our country have been considered for quite a long time through the prism of a «parade of sovereignties» and the principle of very free self-determination. Formally, changes in this policy occur at the turn of the 20th and 21st centuries with the arrival of V.V. Putin. However, the actual absence of a clear spatial policy has led to the formation of extreme unevenness of spatial development, in which most of the country's territories are below the average level, which is proven by our calculations based on open statistical data. Accordingly, the objective of our work is to identify the main opportunities and tools, as well as to develop an approach to the formation of an ideological concept that allows for an effective spatial policy as an asymmetric response to the ideology of Trumpism, which claims global dominance, but is aimed at the most effective exploitation of not so much external as internal resources. As a result of the study, the authors constructed a conceptual model combining the value basis of the developed spatial policy aimed at the efficient use of regional resources, with the tools that allow for such development.
Keywords: space; ideology; values; politics; resources; efficiency.

 

I. V. Trifonov, G. I. Gumerova, E. R. Mukharramova, E. N. Belozorova, Yu. A. Pakhomova (Financial University under the Government of the Russian Federation, Moscow); E. Sh. Shaimieva (Kazan Innovative University named after V. G. Timiryasov (IEPU), Kazan)

The impact of organizational flexibility on the relationship between digital transformation and the innovative capabilities of enterprises: a strategic analysis

The current economic environment is characterized by the rapid development of digital technologies, which are radically transforming business models and the competitive strategies of enterprises. This study is aimed at examining the role of organizational flexibility as a key mediator in the relationship between digital transformation and the innovative capabilities of enterprises. The methodological foundation of the research includes Structural Equation Modeling (SEM) on a sample of 476 manufacturing enterprises from various industries, supplemented by a time series analysis of digitalization indicators over the period 2020–2024. The results demonstrate a statistically significant positive relationship between the level of digital transformation and innovative capabilities (β = 0,347, p < 0,001), with organizational flexibility providing a mediating effect of 0,284. It was found that enterprises with a high level of organizational flexibility exhibit 42 % higher indicators of innovative activity when implementing digital technologies. Factor analysis identified four key dimensions of organizational flexibility: adaptability of business processes (loading 0,821), speed of decision-making (0,787), flexibility of the organizational structure (0,756), and the ability to quickly respond to market changes (0,743). The discussion part reveals the theoretical significance of the obtained results for the development of the dynamic capabilities concept and substantiates practical recommendations for the formation of flexible organizational structures in the conditions of a digital economy. The study makes a significant contribution to understanding the mechanisms of transforming traditional business models and defines promising directions for the development of strategic management in the digital era.
Keywords: digital transformation; organizational flexibility; innovative capabilities; strategic management; dynamic capabilities; business models; digital technologies.

 

N. V. Borowskikh (Omsk State Technical University, Omsk)

Enterprise websites as a tool for digital marketing communications

The study analyzes the content of the websites of domestic enterprises and substantiate the prospects for its development as a tool for digital marketing communications. The paper shows the level of informatization of the population and the attendance of Internet resources in Russia. The types of websites are characterized, the cost and methods of creating websites are given. The trends in the development of web development of commercial enterprises' websites are highlighted. The conclusion is formulated that the basis for the success of working with consumers in a digital environment through websites is the constant work with consumer requests online.
Keywords: digital marketing communications; websites; corporate website; online resources; online stores; digital platforms; media services.

 

O. A. Sagina (Financial University under the Government of the Russian Federation, Moscow)

Analysis of the effectiveness of government support measures for high-tech industries: a comparative study of international experience and national practices

The study is devoted to a comparative analysis of the mechanisms of state support for high-tech industries in Russia and the leading economic powers (USA, China, Germany, Japan) based on statistical data for the period 2019-2024. The analysis reveals significant differences in national approaches and demonstrates the insufficient effectiveness of the Russian system in comparison with international practices. The results of the study substantiate the need for systemic reform of the Russian model of state support for high-tech industries.
Keywords: government support; high-tech industries; innovation policy; venture investments; R&D; technological development.

 

Yu. V. Gnezdova (Smolensk State University, Smolensk; MTUCI, Moscow); T. Yu. Salyutina, G. P. Platunina (MTUCI, Moscow)

Assessment of the implementation of digital technologies at the enterprises of the rocket and space industry

The article examines the methodology for assessing the digital transformation of enterprises in the rocket and space complex, a high-tech industry with special requirements for reliability and technological sovereignty. The author proposes an original approach to measuring digital maturity that takes into account the unique parameters of the industry: the critical importance of fault tolerance, the duration of product life cycles, and the need to maintain full control over key technologies. Based on the analysis of the practices of leading enterprises in the industry, industry standards for digital transformation are formulated to ensure a balance between innovative capabilities and national security requirements.
Keywords: digital maturity; rocket and space industry; digitalization assessment; digital twins; end-to-end technologies; CAD/CAE systems; predictive analytics; cybersecurity; technological sovereignty; digital transformation of production.

 

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

Enhancing energy efficiency of industrial enterprises in the context of digital transformation: a comprehensive analysis of methodologies and implementation practices

The digital transformation of industry opens up unprecedented opportunities for optimizing energy consumption; however, methodological approaches to integrating energy-efficient solutions within the scope of production process digitalization remain insufficiently explored. This study aims to develop a comprehensive methodology for implementing energy-efficient technologies in the context of the digital transformation of industrial enterprises. The methodological basis of the work consisted of systemic and process approaches, multifactorial data analysis, comparative case analysis, expert assessments, and semi-structured interviews with industrial enterprise managers. The empirical basis of the study was formed by data from 217 industrial enterprises from various industries, implementing digital energy efficiency technologies during the period 2019–2023. The study results indicate an uneven dynamic of energy-efficient technology adaptation: enterprises with a high level of digital maturity demonstrate 2,7 times higher energy consumption reduction indicators. The developed multi-level integration model of energy-efficient solutions into the enterprise’s digital ecosystem allows for forecasting the economic effect with an accuracy of up to 87,3 %. Critical barriers to implementation have been identified: technological incompatibility of existing infrastructure (42,7 %), insufficient personnel competencies (37,9 %), inadequacy of efficiency assessment methods (34,1 %). The obtained results expand the theoretical basis of research on digital transformation and energy efficiency, forming a methodological foundation for further study of synergistic effects at the intersection of these areas.
Keywords: industrial energy efficiency; digital transformation; Industry 4.0; industrial Internet of Things; digital twins; energy management; sustainable development.

 

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

State policy for the development of the ICT sector

The article discusses the key aspects of state policy aimed at the development of the domestic sector of information and communication technologies (ICT); the problems that hinder the development of the ICT sector and determine the main content of the state policy for the development of the sector are highlighted. The applied measures to support enterprises and organizations in the ICT sector are analyzed, the need to increase attention to import substitution plans is emphasized, the importance of support through the effective use of economic tools and financial assistance to companies developing new technologies and software is noted; solutions are proposed for the formation of an effective system of incentives and benefits for organizations in the ICT sector.
Keywords: ICT sector; state support measures; state policy.

 

I. Yu. Vaslavskaya, D. M. Lysanov (Naberezhnye Chelny Institute the branch of Kazan Federal University, Naberezhnye Chelny)

Concept of rational use of production base of car service enterprises

The article considers options for the development of structural elements of production and technical base of car service enterprises. The methods of formation of PTB are given, including the design of rational structure of production processes, optimisation of technological and organisational models, as well as determination of the necessary production capacity for maintenance and repair.
Keywords: car service enterprise; production base; technological equipment; maintenance; repair.

 

A. Zh. Zubets (Financial University under the Government of the Russian Federation, Moscow)

Assessing the Impact of the National Project «Labor Productivity and Employment Support» on Industrial Development in the Regions of the Russian Federation

The key aspects of the implementation of the national project «Labor Productivity and Employment Support» (NP) are analyzed. Thanks to the analysis using the industrial production index, cartogram analysis, and case studies of individual regions, it becomes possible to assess the results, the scale of the impact of the implemented national project, and to imagine the further possible potential for implementing its instruments and their impact on regional industry. In conclusion, certain measures and recommendations are formed that can be applied in the implementation of the following National Projects aimed at developing industry in the Russian Federation. As a result, an assessment of the potential impact on the effectiveness of the region's industrial policy of this national project and its instruments is formed.
Keywords: labor productivity; industry regional project; national project; employment.

 

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

Strategic personnel management based on AI talent analytics: an integrative model for the digital transformation of HR management

Digital transformation is radically changing human resource management, especially in the field of talent analytics. This study proposes an integrative AI-based talent analytics model for strategic personnel management in the digital economy. The methodological framework of the research includes a systematic review of empirical data on the application of AI in HR management during the period 2020–2023, a multi-level analysis of 48 case studies from international companies using predictive analytics, and a quantitative study of a sample of 1,240 HR specialists across 15 industries. The results demonstrate that the implementation of AI talent analytics reduces hiring time by 50 %, improves the accuracy of personnel selection by 40 %, and lowers recruitment costs by up to 30%, while 67 % of organizations that have implemented such systems observe a positive ROI within the first year. Our developed five-component model of strategic AI analytics includes modules for predicting employee turnover, competency profiling, career path planning, engagement analytics, and strategic workforce planning. The analysis shows that integrating these components into a single ecosystem creates a synergistic effect, increasing organizational efficiency by 23–28 % compared to the fragmented application of AI solutions. The study also identified key barriers to implementation: data confidentiality issues, algorithmic biases, and the need to develop the digital competencies of HR specialists. The research lays the theoretical and methodological foundation for the strategic use of AI analytics in human resource management, offering specific tools and metrics for the effective transformation of HR management in the digital era.
Keywords: artificial intelligence; talent analytics; strategic personnel management; digital transformation of HR; predictive analytics; HR management; strategic workforce planning; machine learning.

 

I. A. Volkova (Nizhnevartovsk State University, Nizhnevartovsk)

Knowledge economy and unemployment: impact, consequences, prospects

The interdependence of the unemployment rate and the process of knowledge economy development is obvious, which is confirmed by the research. Unemployment plays an important role in the development of the knowledge economy, on the one hand, it has a negative impact caused by a reduction in investment in the development of human capital, and on the other hand, it stimulates the acquisition of new knowledge, the development of competencies in order to ensure competitiveness. To reduce the negative consequences of unemployment, a systematic approach to supporting education and innovation is needed.
Keywords: unemployment; knowledge economy; labor market; additional vocational education; vocational training.

 

S. G. Gutova, N. N. Samohina (Nizhnevartovsk State University, Nizhnevartovsk)

Youth and migration processes in the northern region: using the Khanty-Mansiysk Autonomous Okrug – Yugra as an example

The article analyzes current trends related to the main youth migration processes using a specific Russian region as an example. It examines factors that directly influence the migration sentiments of young people. It focuses on the negative and positive consequences of migration processes among the youth of the northern region. It presents an analysis of the current situation among the youth using the economic and socio-cultural spheres as an example. It identifies the main problems and trends in the field of youth migration processes using a specific northern region as an example. It is concluded that the sustainable development of the region is largely determined by the labor market that is already being formed by the youth today, so it is necessary to create appropriate conditions and opportunities for the educational, professional and creative development of young specialists in remote areas.
Keywords: northern region; youth migration; youth environment; socio-cultural situation; youth labor market; regional youth policy.

 

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

Digital transformation of talent management systems: the impact of artificial intelligence on the efficiency of HR processes in high-tech companies

The modern paradigm of human resource management is undergoing profound transformations due to the integration of artificial intelligence technologies in HR processes. This study aims to analyze the impact of digital transformation on the talent management system in high-tech companies, where the implementation of AI solutions has become a critical factor for competitiveness. The methodological approach includes mixed research methods: structured interviews with 314 HR specialists from tech companies, quantitative analysis of HR process efficiency data for the period 2022–2024, as well as case studies on the implementation of AI platforms in ten organizations. The results demonstrate that the integration of artificial intelligence in talent acquisition processes increases efficiency by 67 %, reduces the time taken to make HR decisions by 43%, and cuts operational costs by 30 %. It was found that AI systems provide an increase in the accuracy of forecasting personnel needs by up to 87 %, which significantly surpasses traditional planning methods. The personalization of employee experience through AI tools correlates with a 35 % increase in the engagement index and a 28 % reduction in staff turnover. Critical factors for the success of digital transformation have been identified: the readiness of organizational culture, the competence of HR personnel in digital technologies, and the presence of an integrated data management strategy. This study contributes to the development of strategic talent management theory and provides practical recommendations for optimizing the implementation of AI technologies in the HR departments of high-tech enterprises.
Keywords: digital transformation; talent management; artificial intelligence; HR processes; high-tech companies; HR analytics; organizational efficiency

 

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

Industrial management in the period of industrialization: foreign aid, the first results and the beginning of a new management reform (part 2)

The approaches to industrial management in the context of industrialization are analyzed. The author substantiates the thesis that at that time there was another active search for new forms, methods and tools of industrial management in the context of the transition of all industrial enterprises to state ownership. The foreign aid received at the first stage and its rather rapid reduction in conditions when domestic industrial enterprises were able to provide import substitution of basic industrial products and the first results of industrialization required the search for new forms of industrial management.
Keywords: Ministry of Trade and Industry; industry; public administration; industrial complex; industrial policy.

 

L. I. Alibalaeva, V. M. Savinova (Plekhanov Russian University of Economics, Moscow)

Forecasting the sustainability of economic growth in the Krasnoyarsk Territory in the context of implementing climate-oriented tax mechanisms and their impact on the structure of industrial production

This study is devoted to a comprehensive analysis of the prospects for sustainable economic growth in the Krasnoyarsk Territory under the conditions of implementing climate-oriented tax mechanisms, as well as to assessing their potential impact on the region’s industrial production structure. The research is based on the integration of economic and mathematical modeling methods with a systems analysis of the structural transformations occurring in the regional economy. The paper identifies the key factors of vulnerability in the industrial complex of the Krasnoyarsk Territory when various carbon regulation scenarios are implemented, conducts a quantitative assessment of the risks of reducing the competitiveness of the region’s basic industrial sectors, and develops a model for forecasting economic dynamics accounting for the transformation of the sectoral structure. The results of the study demonstrate significant short-term risks for the sustainability of the regional economy with the introduction of a carbon tax; however, they also substantiate the possibility of long-term structural transformations that can provide recovery and subsequent growth in the competitiveness of the region’s industry. Based on the obtained results, recommendations for adjusting regional economic policy have been formulated, including measures to stimulate the decarbonization of energy-intensive productions, the development of low-carbon sectors of the economy, and the formation of mechanisms for adapting to the new conditions of foreign economic activity. The proposed approaches ensure a balance between economic development and environmental sustainability in the Krasnoyarsk Territory in the long term.
Keywords: sustainable economic growth; carbon regulation; climate tax mechanisms; structure of industrial production; regional economy; decarbonisation; Krasnoyarsk Territory.

 

Shvartsburg L. E., Addas Safouh (MSUT «STANKIN», Moscow) 

Characteristic of a multi-input cyclone as a control object of a closed air purification system for a three-dimensional printing site

The article considers an approach to building a simulation model of a multi-input cyclone as an object of regulation. A model with multiple inputs and one output is proposed. The non-linearity of regulating the performance of a multi-inlet cyclone depending on the diameter of the inputs and the air injection rate is shown. Accordingly, a dialectical contradiction has been established that requires further resolution – non-linearity, according to the Pontryagin maximum principle, is necessary to build optimal performance management, but, on the other hand, limits the possibility of applying the superposition principle for further analysis. Mathematical models of valve actuators and a pressure pump are obtained and their relationship is described in terms of linear object control theory. The prospects of constructing closed-loop control systems for air purification of the working area of a three-dimensional printing site using the concentration of volatile organic compounds as an adjustable parameter are considered. Based on the results obtained, a list of tasks for further research has been developed.
Keywords: volatile organic compounds; cyclone separator; automatic regulation; control object; mathematical model.

 

O. A. Petrova, E. P. Kochetkov (Financial University under the Government of the Russian Federation, Moscow); I. Yu. Vaslavskaya (Kazan (Volga Region) Federal University, Kazan)

Regional «smart specializations» as a tool for regional industry development

When defining the most important directions of regional industry development, it is necessary to indicate those due to which the region has an opportunity to accelerate its socio-economic development. The opportunities for this can be seen, first of all, in the activities related to the use and development of the endogenous potential of the region, primarily in the industrial sector of the economy. The article defines the essence, purpose, prerequisites, selection and preparation of regional «smart specializations» in the industrial sector, reveals their role in the development of regional industry.
Keywords: policy; strategy; development; region; specialization; management.

 

Ya. I. Nikonova, I. N. Spitsyna, A. V. Serova (Siberian Transport University, Novosibirsk)

Assessment of the impact of Big Data on the railway industry using the method of multiple regression analysis

The work is devoted to the study of factors influencing the use of Big Data in the railway industry using the method of multiple regression analysis. The paper evaluates the importance of big data in the railway industry, predicts indicators, and develops an optimal model of the factors influencing the introduction of Big Data technologies. Using the results of this analysis will simplify the selection of data that affects the use of Big Data. The optimal regression model is determined.
Keywords: regression; big data; analysis; forecast; correlation.