KSHP. OMD №11-2025 el.dop

Published on 19 April 2026

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E. V. Artamonov, A. S. Shtin, Т. Е. Kostiv, V. Y. Nazarova (Industrial University of Tyumen, Tyumen)

Investigation of the influence of sintering modes of hard alloys on tool serviceability during blade machining

Within the framework of this research, a hypothesis has been put forward (scientific assumption) that the temperature of maximum workability of an alloy is approximately equal to half of its sintering temperature. Verification of this hypothesis will make it possible to optimise machining modes and expand the understanding of the thermal behaviour of alloys, which is essential for improving cutting efficiency and tool life. The aim of the work is to investigate the thermal behaviour of alloys, the influence of sintering temperature on the performance of the alloy in blade machining. The relationship between the influence of the sintering temperature of tool hard alloys and the temperature of maximum workability of the alloy at blade machining has been established. The conducted research has shown that the temperature of maximum workability of the alloy is reliably equal to half of its sintering temperature.
Keywords: cutting of materials; turning; physical and technical characteristics of materials; hard alloys; mechanical characteristics of cutting process.

S. S. Yukhnevich, A. Yu. Ryazantsev, D. A. Levchenko (JSC KBKhA; Voronezh State Technical University, Voronezh)

Changing the forming technology of hemispherical blanks using the superplastic properties of titanium alloy

This article analyzes existing methods for producing hemispherical blanks. One of the most promising methods for forming hemispherical blanks from titanium alloys for high-pressure vessels in rocket and space technology is demonstrated. The advantages and disadvantages of the presented hemisphere manufacturing technologies are presented. The application areas and prospects for using modern methods for producing hemispherical blanks from titanium alloys are discussed.
Keywords: stamping; container; hemisphere; superplasticity; superplastic forming; forming; titanium alloy.

V. A. Popov (NUST «MISIS», Moscow)

Composite materials with a metal matrix and reinforcing carbon particles in the form of nanodiamonds

Currently, a wide variety of composite materials are used in engineering. Of particular interest are composite materials with a metal matrix and carbon reinforcing particles, including nanosized particles such as nanodiamonds and fullerenes. Nanodiamond particles range in size from 4–6 nm, sometimes reaching up to 10 nm, but they are combined into agglomerates, which are quite strong at sizes up to 100 µm, and can aggregate to sizes of 300–800 µm (the strength of larger agglomerates is not significant). The presence of nanodiamond agglomerates in metal will reduce the strength of the material, so it is necessary to break up the nanodiamond agglomerates in metals. Mechanical alloying is an effective method for breaking up the agglomerates.
Keywords: composite materials; mechanical alloying; nanodiamonds; niobium; chromium.

A. G. Batukhtin, S. G. Batukhtin, M. V. Kobylkin, I. Y. Batukhtina (Transbaikal State University, Chita)

Study of the possibility of optimizing the design of a flow preparation device for plasma fuel systems

The article describes the results of an experiment aimed at studying the aerodynamic characteristics of a mixture of coal and air inside a plasma-fuel installation pipeline, as well as changing these parameters when using standard and advanced flow pretreatment devices. A study of the upgraded samples of dusty flow stabilizers obtained by 3D printing has shown that their use makes it possible to achieve acceptable stabilization of the dispersed flow velocity profile. An optimized version of the device with a central concentration recess and a guide ring makes it possible to better stabilize the dusty flow by 23 % and has a lower coefficient of local resistance compared to the initial standard industrial design.
Keywords: plasma; aerodynamic parameters; coal; thermochemical preparation; modeling; 3D printing.

M. V. Shakursky, M. E. Kozlov, A. S. Popov, D. M. Makhmudov, V. V. Borisov (Povolzhsky State University of Telecommunications and Informatics, Samara)

MEthod of dos-type attacks and command fraud detection in robotics systems based on network traffic analysis in the ROS environment

The article is devoted to the development and experimental verification of a method for detecting cyberattacks in robotic systems operating in the Robot Operating System (ROS) environment. Special attention is paid to the analysis of communication channel vulnerabilities and the development of a lightweight network traffic monitoring system for detecting denial-of-service (DoS) attacks and command fraud. The proposed intrusion detection system is based on the analysis of anomalies in the frequency of messages (threshold 50 Hz) and the data structure using CRC32 hashing. Experiments conducted on the Gazebo simulator with the TurtleBot3 Waffle robot confirm the high efficiency of the solution: the detection accuracy of DoS attacks is 98,5 %, and the detection of command forgery is 95 % with a processing delay of ≤ 10 ms and a computational load of ≤ 10 % CPU. The system does not require complex cryptography and can be easily integrated into resource-constrained robots (e. g., TurtleBot3 on Raspberry Pi), making it suitable for protecting commercial robotic platforms and related industrial applications. The study demonstrates that analyzing network traffic in ROS can provide reliable protection without modifying existing architectures, which is particularly important for robotic systems with limited computational resources.
Keywords: robotic systems; reliability of technological processes; integration of software solutions; monitoring of operational processes; analysis of network interaction; ensuring safety of robotic complexes; experimental validation of control systems; optimization of computational costs; Gazebo simulation; lightweight control methods.

M. V. Masaleva, P. S. Balitsky, A. V. Tseluiko, I. V. Krovyakov (Financial University under the Government of the Russian Federation, Moscow)

Comprehensive life safety management system at industrial enterprises using digital twins and predictive analytics to prevent injuries and emergency situations

The article substantiates the need to shift from reactive occupational safety practices to a proactive, risk-based «Safety 4.0» paradigm and sets the goal of developing and validating a comprehensive safety management system at industrial enterprises based on the integration of digital twins and predictive analytics to prevent injuries and emergencies; methodologically, the work relies on systems analysis, a review of more than 150 sources, the design of a three-layer architecture (an IIoT data acquisition layer; a modeling layer with a continuously synchronized digital twin; an analytics layer with machine learning algorithms), and simulation of deployment at a heavy engineering enterprise with a comparison of indicators across two 24-month periods before and after system rollout, where vibroacoustic sensors, thermal imaging and ultrasonic inspection, lubricant analysis, and cybersecurity tools are employed; as metrics, the study selects injury frequency and severity rates, the number of severe cases and emergency shutdowns, the performance of analytical models (Precision, Recall, F1), and operational-economic indicators (downtime, emergency repair costs, labor productivity, payback period); the results show a 66,14 % reduction in injury frequency and 31,32 % in severity, a 78,57 % decrease in severe incidents, and an 86.52 % reduction in equipment emergency shutdowns, while for the critical «Alarm» class Recall reached 0,981, Precision 0,942, and F1-score 0,961 (overall F1 = 0,98), which minimizes Type II errors and prevents alarm fatigue; the economic effect is expressed in a 14,3 % decrease in unplanned downtime, a 21,8 % reduction in emergency repair costs, an 8,7 % increase in labor productivity, and a payback period of 28,5 months, confirming the feasibility of transitioning to condition-based maintenance; the discussion records the synergistic effect of the three layers and outlines a practical roadmap (phased pilot integration on critical assets, risk threshold tuning, personnel training, and ensuring cyber-resilience), with limitations arising from the simulation design, industry-specific data, and the need for validation standardization; the conclusions confirm that integrating the digital twin and AI not only reduces injuries but also increases operational reliability and production efficiency.
Keywords: digital twin; predictive analytics; industrial safety; Industrial Internet of Things; condition-based maintenance.

S. V. Kurovsky, D. A. Mishin (Higher School of Education LLC, Odintsovo)

Automation of processes for oil pipelines

Digital and innovative solutions are being developed to automate process flows for oil pipelines. This article describes an automated system for monitoring the temperature of petroleum products in oil pipelines and a digital service for detecting hydrate formations in oil and gas pipelines. The advantages of these digital and innovative solutions, implemented using oil and gas pipelines, include the ability to automatically assess the current condition of pipeline sections in the oil industry and account for hidden hydrate formations during the transportation of oil and gas resources.
Keywords: automation; process flows; pipeline use; oil industry; innovative and digital solutions.

A. Yu. Spiridonov (Federal Scientific Agroengineering Center VIM, Moscow)

Development of AI-based adaptive inter-vehicular communication networks for autonomous vehicles

The article addresses the performance degradation of static inter-vehicular communication protocols under high density and mobility of autonomous traffic and aims to develop and empirically validate an adaptive AI V2X architecture based on deep reinforcement learning and federated learning to ensure reliable, low-latency connectivity in cooperative driving scenarios; the study formalises radio resource management as a Markov decision process (MDP) in which an on-board agent controls transmit power, modulation and coding schemes (MCS), and bandwidth allocation across traffic classes, while the methodology relies on NS-3 and SUMO co-simulation with a congested urban intersection and a highway model, KPI evaluation (PDR, end-to-end latency, throughput), a mixed URLLC/eMBB traffic test, and analysis of FL convergence and communication overheads; results show that at 500 vehicles/km2 AI V2X achieves a PDR of 98,71 % with 38,23 ms latency and 16,91 Mbit/s throughput versus 75,41 % and 83,25 ms for C-V2X Mode 4 and 59,18 % and 155,60 ms for DSRC; as speed increases from 30 to 120 km/h, the PDR drop for AI V2X does not exceed 1 %, compared with over 10 % for C-V2X and 16 % for DSRC; under mixed traffic it provides URLLC PDR of 99,97 % and 15,72 ms latency while maintaining eMBB throughput of 4,81 Mbit/s; federated learning exhibits a quality plateau around the 100th round with update sizes on the order of 256.7 kB per vehicle per round, confirming network efficiency and privacy; the discussion attributes the superiority to a learned policy of proactive power back-off, selection of robust MCS, and opportunistic multiplexing, underscores the approach’s scalability and feasibility, and notes limitations of the simulation design, domain specificity, and unaddressed aspects of cybersecurity and energy efficiency; the conclusions argue for a shift from deterministic protocols to self-learning adaptive networks as a precondition for safe and efficient cooperative autonomous driving.
Keywords: V2X; reinforcement learning; federated learning; URLLC; autonomous vehicles.

V. E. Kosarev, O. Yu. Gorodetskaya, Ya. L. Gobareva, M. E. Rychago (Financial University under the Government of the Russian Federation, Moscow)

Integration of distributed cloud computing and modular information systems to improve the efficiency of industrial production management

The study substantiates the integration of distributed cloud computing with modular information systems of the MES and ERP classes to achieve a radical improvement in the efficiency of industrial production management within the Industry 4.0 paradigm amid infrastructural and personnel constraints, as well as heightened demands for operational flexibility and cyber-resilience; the aim is to develop and verify a hybrid edge–fog–cloud architecture that forms a unified adaptive loop of planning and dispatching from the shop-floor level to strategic decision-making. Methodologically, the work relies on an interdisciplinary review of 70 sources with 15 key publications identified, the development of a theoretical model of ERP–MES–APCS information flows, and simulation modeling of a discrete manufacturing enterprise in two scenarios: isolated systems and full-featured integration with distributed processing; evaluation employed operational metrics (OEE and its components, production cycle time), economic indicators (TCO, ROI, cost structure), and technical–network characteristics (latency, bandwidth utilization). The results show a substantial increase in OEE from 72,36 to 88,63 %, a 16,41 % reduction in cycle time, and a 72,03 % decrease in scrap rate due to the transition from reactive to predictive maintenance, dynamic job reallocation, and embedded edge quality control; the technological basis of the effect is a decrease in average latency to < 5,3 ms (versus 185,5 ms in a centralized cloud), a reduction of cloud traffic to 12,6 %, increased fault tolerance, and data localization. Economically, the integration is accompanied by a 34,74 % increase in TCO over a three-year horizon, but this is offset by an 18,45 % reduction in production costs, a 14.68% reduction in logistics costs, a 21,33 % reduction in quality management costs, and additional revenue of 94,57 million rubles, yielding an ROI of 248,71 %; the discussion establishes the causal chain «technical advantages → operational efficiency → financial result».
Keywords: distributed cloud computing; edge and fog computing; information systems; MES; ERP; overall equipment effectiveness.

O. V. Fokina (Vyatka State University, Kirov); V. O. Kozhina, S. A. Ryabichenko (Moscow International University, Moscow); O. V. Suzeva (State University of Education; Moscow International University, Moscow)

Key risks of investment project activities in the metallurgical industry

The article discusses the key risks of investment project activities in the metallurgical industry of Russia. It provides a description of the risks, their consequences, and government initiatives and measures taken by participants in the metallurgical industry to mitigate the risks. This article will be of interest to researchers, educators, and practitioners.
Keywords: metallurgical production; project activities; investments; risks; sanctions; costs; market; competition; ecology.

Yu. A. Krupnov (Financial University under the Government of the Russian Federation, Moscow); I. V. Svirin (RUDN University)

Industry 4.0 in the oil and gas sector: the impact of an economic entity's innovation activity on business value

The purpose of the research is to develop and test a methodological approach to assessing the impact of digital and innovative transformation on the market value of companies in the Russian oil and gas sector, as well as to identify factors determining the growth of their investment attractiveness and competitiveness. The results of the study show that there is a stable positive correlation between the level of digitalization and innovation activity of companies in the oil and gas sector and their market capitalization, profitability and investment assessment. An econometric model has been developed that makes it possible to quantify the impact of innovative factors on business value, including indicators of technological renewal, R&D intensity, digital maturity and management efficiency. The practical significance of the work lies in the formation of recommendations for industry enterprises on the integration of digital and innovative strategies into the value management system, as well as for government authorities and development institutions on stimulating digital transformation and innovation activity of fuel and energy companies. The results obtained can be used in shaping strategies for sustainable development and digital modernization of the Russian oil and gas complex.
Keywords: digital transformation; innovation activity; oil and gas complex; business value; market capitalization; digital maturity; investment attractiveness; R&D; cost management; competitiveness; sustainable development; digital economy.

M. R. Safiullin (Kazan (Volga Region) Federal University; Academy of Sciences of the Republic of Tatarstan; Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan); L. A. Elshin (Kazan (Volga Region) Federal University; Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan; TISBI University of Management, Kazan); D. R. Abdrakhmanova (Volga Region State University of Physical Culture, Sports and Tourism, Kazan); A. D. Gatin (Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan)

The impact of critical imports on the sustainable development of the regional industrial sector

This study develops a methodological tool for identifying critical regional imports within the Commodity Classification of Foreign Economic Activity (CN VED) and, based on this, constructing economic and mathematical models that assess their impact on the prospects and sustainability of industrial development in the constituent entities of the Russian Federation. The main results of the study are the identification of critically important product categories imported from abroad for the industrial sector, which pose the main threats to the sustainable development of the regional economy.
Keywords: import dependence; critical imports; industrial development; region; sanctions pressure; reconfiguration of international supply chains; transformation of foreign markets; spatial analysis of panel data; modeling of macroeconomic relationships

Scenario modeling of regional industrial development in the context of transformation of critical import supplies

A methodological toolkit for identifying critical regional imports within the TN VED framework is being developed. The methodological framework comprises tools for statistical data analysis, grouping, and systematization, as well as methods for spatial analysis of panel data. The main results of the study are the identification of critically important product categories for the industrial sector, imported from abroad, which pose the main threats to the sustainable development of the regional economy.
Keywords: import dependence; critical imports; industrial development; region; sanctions pressure; reconfiguration of international supply chains; transformation of foreign markets; spatial analysis of panel data; modeling of macroeconomic relationships.

N. Sh. Kremer, L. V. Lipagina, I. E. Guryanova, S. V. Savina (Financial University under the Government of the Russian Federation, Moscow); T. B. Turishcheva (Plekhanov Russian University of Economics; Financial University under the Government of the Russian Federation, Moscow)

Innovative digital technologies in industrial enterprise management: challenges and prospects

This article analyzes the transformation of industrial enterprise management through the implementation of digital technologies. It describes the most important technologies influencing the transformation of industrial enterprise management, such as artificial intelligence, industrial process automation technologies, blockchain, the Internet of Things (IoT), augmented reality (AR), virtual reality (VR), cloud computing, big data, cybersecurity technologies, and robotics. It also examines challenges associated with the implementation of digital technologies at industrial enterprises, including the level of costs associated with the implementation of digital technologies; employee training; changes in work organization; data protection and security; and employee acceptance of digital technologies. The article presents the advantages and disadvantages associated with the implementation of digital technologies at enterprises and proposes strategies for the development of industrial enterprises based on digital technologies.
Keywords: industrial enterprise; management; digital technologies (DT); development strategies; automation.

R. M. Magomedov, L. V. Lipagina, A. A. Rylov, T. L. Fomicheva (Financial University under the Government of the Russian Federation, Moscow); T. B. Turishcheva (Plekhanov Russian University of Economics; Financial University under the Government of the Russian Federation, Moscow)

Formation of a digital organizational culture in the process of transformation of industrial enterprises

This article analyzes the impact of organizational culture on the digital transformation of industrial enterprises. In today's world, the implementation of digital technologies has a significant impact on all aspects of business, including internal processes, management approaches, and organizational culture. Organizational culture, as a set of values and attitudes, plays a key role in a company's successful adaptation to digital change. The article emphasizes the importance of aligning organizational culture with technological innovations, which minimizes resistance to change and accelerates the implementation of digital technologies.
Keywords: organizational culture; digital organizational culture; digitalization; industrial enterprises; adaptation strategy; digital transformation.

G. G. Derzayeva (Kazan Federal University, Kazan); G. G. Akhmadieva (Center of Advanced Economic Research in the Academy of Sciences of the Republic of Tatarstan, Kazan)

Sukuk as an alternative way to attract investment in industrial production

The article presents a study of the possibilities of financing industrial enterprises using an investment financial instrument formed according to the principles of partnership (Islamic) financing sukuk in light of the federal law on partnership financing. The purpose of the study is to identify the possibilities of using sukuk to finance industrial enterprises in the Russian economy in light of the federal law on partnership financing. As a result of studying the current state of the scientific problem of using sukuk as an alternative instrument for attracting investment within the framework of the Islamic accounting model, it was concluded that the main debatable issue is the possibility of issuing sukuk in countries with a traditional economic system. The promotion of this discussion is significantly complicated by the lack of current publications in Russian on a comparative assessment of the issue of sukuk in the world and the use of sukuk as an alternative source of attracting investment in the context of global instability.
Keywords: Islamic principles; sukuk; industrial enterprises; partnership financing; federal law.

An. B. Mottaeva (Financial University under the Government of the Russian Federation, Moscow)

Smart Grid and digital energy: impact on the efficiency of the Russian regions' economies

This article is devoted to the study of the impact of the introduction of Smart Grid technologies and digital solutions in the energy sector on improving the efficiency of the regional economy. The purpose of the article is to substantiate the role of Smart Grid as a tool for improving the energy and economic efficiency of regions, as well as to identify areas for improving digital infrastructure for the sustainable development of territories. The relevance of the research is determined by the need to modernize regional energy systems in the context of rising energy consumption, climate change and accelerated digitalization of the economy. The implementation of Smart Grid principles allows not only to increase the reliability of energy supply and reduce the carbon footprint, but also to stimulate the development of new industries related to digital services and green technologies. The scientific novelty of the study is to develop a conceptual model of the impact of digital energy networks on the macro- and mesoeconomic indicators of the region, as well as to identify the mechanisms through which digitalization of the energy sector contributes to increasing its competitiveness and energy sustainability.
Keywords: Smart Grid; digital energy; intelligent energy systems; regional economy; energy efficiency; digital transformation; sustainable development; innovative technologies; big Data; Internet of Things; energy resource management; energy sustainability.

N. V. Kravchenko (HSE University, Moscow)

The last mile delivery market in Russian e-commerce: actual status and development trends

This article presents an analysis of the current status of the Russian last-mile delivery market in e-commerce and its key trends. It examines key market participants and infrastructure, digitalization and automation of logistics operations, trends toward accelerated delivery, rising costs and their impact on profitability, and the consolidation and vertical integration of marketplaces. Attention is paid to the marketing component of last-mile delivery as a tool for developing competitive advantages and enhancing the value of customer experience. Based on industry reports and research, current market indicators and trends are systematized. The results of this review provide an overview of the state of the Russian last-mile delivery market in e-commerce.
Keywords: e-commerce; last-mile delivery; logistics; customer experience; digitalization; marketplaces.

V. R. Iksanov (Plekhanov Russian University of Economics, Moscow)

Analysis of an industrial automation system (IAS) for forecasting industrial performance in the Russian Federation

The development of the industrial economy is a key factor in the stable operation of the entire Russian economy. Today, industrial production indicators depend on many factors, both external and internal to the economic system. The ability to predict future trends influences the accuracy and reliability of management decisions. Each industrial production indicator plays a significant role in economic development. To enable trend forecasting, a hybrid IAS for forecasting is described, based on artificial intelligence and statistical methods. To ensure the completeness of the study, an LLM model based on TimeGPT technology is implemented to ensure forecast accuracy and interpretability of results. This paper provides a comparative analysis of machine learning, statistical, and LLM methods.
Keywords: LLM; regression decision tree; forecasting; industrial performance; TimeGPT; IAS.

M. M. Makhmudova (Industrial University of Tyumen, Tyumen)

Demography and assessment of small business viability in the Ural federal district

The object of research in this article is a small business in the Ural Federal District. Based on official statistical information, the indicators characterizing the viability of small business structures of the regional economy were calculated.
Keywords: small business; entrepreneurship; Ural Federal District; viability coefficient.

L. A. Ezhova (Financial University under the Government of the Russian Federation, Moscow)

Developing a digital enterprise maturity model based on business informatics indicators

The purpose of this study is to develop and test a model for assessing an enterprise's digital maturity based on business informatics metrics. The relevance of this topic stems from the need for systemic digital transformation of organizations in the context of a dynamically developing data economy and the growing role of information and communication technologies in strategic management. Key assessment criteria are identified based on business informatics metrics: process automation, use of analytical platforms, employee competency development, cybersecurity, and management decision maturity. The developed model enables a quantitative assessment of an enterprise's digital maturity, identification of bottlenecks in the digital infrastructure, and determination of areas for further development.
Keywords: digital maturity; business informatics; digital transformation; assessment model.

D. E. Morkovkin, A. V. Kozharinov, N. A. Nazarova, S. A. Sergeev (Financial University under the Government of the Russian Federation, Moscow); E. N. Pyatsheva (Russian State University for the Humanities, Moscow); Sh. Niyazbekova (Moscow Witte University, Moscow)

Methodological foundations of the formation and development of industrial product markets in the context of the transformation of global value chains

The development of methodological tools for analyzing and forecasting the development of industrial markets, integrating resource, institutional and dynamic approaches, is of particular importance. The proposed concept of the author makes it possible to systematize the key factors of competitiveness of industrial enterprises in the context of modern trends in the development of the global economy, including digital transformation, greening of production and technological innovations.
Keywords: industrial markets; global value chains; industrial policy; technological innovations; digitalization; greening; resource approach; dynamic abilities.

E. V. Shirinkina, E. V. Zavedeev, O. G. Kolosova (Surgut State University, Surgut); A. V. Semenov, Sh. Niyazbekova (Moscow Witte University, Moscow); Z. K. Smagulova (Astana International University, Astana, Republic of Kazakhstan); M. S. Pestova, I. O. Ryzhova; S. N. Kievskaya (Russian University of Cooperation, Mytishchi); V. V. Varzin (Russian State University named after A. N. Kosygin (Technologies. Design. Art), Moscow); L. S. Shepeleva, B. Bissenbayev (RSSU, Moscow); M. A. Tleuzhanova (International University of Engineering and Technology, Almaty, Republic of Kazakhstan)

Establishment of a production cluster for the development of the high-tech oilfield services sector in the Khanty-Mansi Autonomous Okrug – Yugra

The purpose of this study is to conduct a comprehensive analysis of the oil and gas production industry in the Khanty-Mansi Autonomous Okrug – Yugra and formulate proposals for improving the infrastructure supporting the oilfield services sector and related industries. The key problems and threats to the functioning and development identified during the analysis of the current state of the autonomous okrug's oil and gas complex (OGC) indicate that, to ensure the further sustainable development of the OGC in Yugra, fundamental changes in the forms of interaction between the government, the oil and gas industry, and oilfield services companies are necessary, involving research organizations and educational institutions. The study developed a general concept for an oilfield services cluster in the autonomous okrug as the most effective form of such interaction. It outlined the cluster's goals and objectives, potential participants, operational mechanisms, and the competitive advantages of potential enterprises. This study also developed specific proposals for improving the support infrastructure for the oilfield services sector and related industries in the autonomous okrug. An original concept and specific operational mechanisms for the Yugra oilfield services cluster were proposed, potential development areas were identified, and the advantages of its participants were identified. The results obtained are of interest to developers of regional development strategies, executives of oil and gas production and oilfield services companies, executive authorities, and stakeholders involved in the economic transformation of the Khanty-Mansi Autonomous Okrug – Yugra.
Keywords: oilfield services companies; oil and gas industry; regional monospecialization; production cluster; region; high-tech services; development trends; efficiency.

E. S. Manashirov (Moscow Scientific and Practical Center «Higher League», Moscow)

IIS as a new composite measure of innovativeness: extending traditional GDP models

This paper presents the development and empirical validation of the Index of Innovative Sustainability (IIS) as a composite indicator for assessing countries' economic potential in the face of contemporary global challenges. The study is based on an analysis of panel data for 30 countries over the period 1977–2024, encompassing advanced economies (G7), newly industrialized economies and developing countries. Econometric analysis using panel regression with fixed effects reveals a statistically significant positive relationship between the IIS and economic growth rates. It is shown that a 0,1-point increase in the index is associated with a 0.28 percentage-point rise in annual GDP growth. Granger causality tests confirm that the IIS Granger-causes economic growth rather than being its consequence. Comprehensive robustness checks – including alternative model specifications, application of the generalized method of moments (GMM), exclusion of outlier countries, and temporal decomposition of the sample – support the stability of the main findings. In all alternative specifications, the positive and statistically significant link between innovative sustainability and economic growth is preserved.
Keywords: innovative sustainability; economic growth; panel data; econometric analysis; national innovation systems; composite index modeling.

M. V. Polevaya, E. V. Kamneva, N. N. Shurakova (Financial University under the Government of the Russian Federation, Moscow)

Personality traits of young people as a factor in attitudes toward pension reform

Pension reforms in various countries are a pressing need in the modern world. The success of these reforms depends on many factors, including public attitudes. Young people's attitudes toward pension reform significantly influence their perceptions of their future retirement. Relationships were identified between the personality traits of young people and their attitudes toward the 2019–2024 pension reform. The level of young people's attitudes toward changing the retirement age was also determined. An analysis of personality traits and locus of control revealed factors that influence negative and indifferent attitudes. These factors included a high level of external locus of control and a low level of internal locus of control. Two factors that contribute to a positive attitude toward changing the retirement age were also identified: variables reflecting locus of control (internality and externality), personality traits (neuroticism and openness to experience), and the personality trait "agreeableness." The study confirms hypotheses about the factors influencing young people's attitudes toward changes in the retirement age. It will also help shape young people's positive attitudes toward changes in the retirement age, taking into account the development of the identified personality characteristics.
Keywords: attitude toward reform; locus of control; readiness for innovation; changes in the retirement age.

L. F. Shaybakova, K.S. Erokhina (Ural State University of Economics, Yekaterinburg)

Optimizing recruitment in copper production

In the modern economy, the successful functioning of an enterprise largely depends on the state of macroeconomic and industry indicators, as well as on the effectiveness of building internal business processes. At the same time, one of the most important components of an effective organizational strategy is the recruitment process: the staffing of the enterprise serves as a driver of its economic development. The relevance of this study lies in its practical focus on the development of recommendations for the selection of personnel in an organization working in the field of copper production, thereby increasing the economic efficiency of its activities.
Keywords: personnel selection; copper production; production organization; personnel policy; and strategic guidelines.

M. A. Zenkin (Academy of Talents, St. Petersburg); V. N. Pronkin, N. V. Nemirova (A. I. Herzen State Pedagogical University, St. Petersburg)

Industry and corporate practices for career guidance for schoolchildren: effective models of interaction between regional industry and educational institutions

This article examines the results of a comprehensive study aimed at identifying mechanisms for incorporating regional specifics into the system of technological education for schoolchildren, including in supplementary education programs for children in the natural sciences and technology. Based on an analysis of cases from various constituent entities of the Russian Federation, it is shown that regional economic characteristics, employment structure, and investment policy directly influence the content and organization of educational programs. Particular attention is paid to the interactions between educational organizations and employers, colleges, and universities in the context of developing ecosystems for students' professional self-determination. It has been established that in most regions, general and supplementary education institutions are the initiators of integrating the regional component, while the participation of industrial partners remains fragmented. At the same time, the development of an effective regional HR policy is directly linked to the transition from local practices to sustainable models of networked interaction between education and employers, which can ensure the continuity of students' educational and career trajectories.
Keywords: technological education for schoolchildren; career guidance; cluster analysis; regional HR policy.

E. L. Kruglova, S. A. Yushkova (Financial University under the Government of the Russian Federation, Moscow)

Comprehensive approach to human capital development through mechanisms of long-term investment and social support for the population

The article examines the interrelationship between long-term investments in human capital development and social support mechanisms, demonstrating that maximum returns are achieved through their synergy rather than by increasing expenditures in isolated areas. The aim is to empirically test the hypothesis that combining targeted investments in education, healthcare, and R&D with a developed social protection system enhances innovation potential, raises productivity, and reduces inequality, thereby fostering sustainable growth. The research stages include data collection and harmonization, construction of analytical tables, correlation and comparative analysis with attention to nonlinearities and outliers (for example, the United States’ high medical spending alongside a relatively lower level of human capital, or high index values with moderate spending in Japan and the Republic of Korea); the results show a stable positive relationship between investments in education and healthcare and the Human Capital Index, the complementarity of high R&D and social guarantees for innovation leadership, as well as an inverse correlation between the scale of social protection and inequality and a direct association with a high Human Development Index; the discussion proposes the policy concept of a «golden triangle»: «future capital» (education and R&D), «present capital» (healthcare), and «capital sustainability» (social protection), where underinvestment in any vertex reduces overall effectiveness.
Keywords: human capital; social investments; social protection; R&D; Human Development Index.

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

Scenario modeling of the transformation of the labor market in Krasnoyarsk Krai under the influence of ESG standard requirements and the downsizing of carbon-intensive sectors of the economy

The study aims to provide a quantitative assessment of the transformation of the labor market in Krasnoyarsk Krai under the influence of ESG standard requirements and the contraction of carbon-intensive sectors, taking into account the high concentration of employment and earnings in non-ferrous metallurgy, coal mining, thermal power generation, and related activities; the initial imbalances are corroborated by current indicators: a labor force of about 1,42 million people amid low unemployment of 1,3 % and a high share of registered unemployed with higher and secondary vocational education, pointing to a growing structural skills mismatch. The aim of the study is to develop and compare scenarios through 2035 to assess the scale of displacement, the potential for «green» jobs, and the need for reskilling. The methodology includes scenario modeling along three trajectories (inertial, target, stress), a decomposition of employment across carbon-intensive industries, calculation of the net jobs balance, and the investment requirement for retraining based on official statistics, strategic documents, and corporate ESG programs. Practical recommendations include establishing a regional just transition fund, proactive retraining programs aligned with the demands of the «green» economy, and special measures for single-industry towns; retraining expenditures are construed as strategic investments that minimize social shock and support competitiveness.
Keywords: ESG; decarbonization; labor market; Krasnoyarsk Krai; reskilling.

S. S. Muchkaeva, A. B. Mantusov, E. V. Sumyanova, E. V. Petrovich, T. B. Goldvarg (Kalmyk State University named after B. B. Gorodovikov, Elista)

Integration of fundamental mathematical training and practice-oriented modules in continuing education to develop cross-cutting engineering competencies in high-technology industries

The study aims to empirically test the effectiveness of integrating fundamental mathematical training with practice-oriented project modules in continuing professional education programs for engineers in high-technology sectors, given the deficit of cross-cutting competencies and the need to accelerate technological sovereignty. The objective is to compare a traditional sequential model with an integrated PBL/STEM-based model in terms of developing systems thinking, innovative design, and interdisciplinary communication, as well as the impact on companies’ business metrics. The methodology adopts a competency-based approach and an adaptation of the Kirkpatrick model (Levels 1–4), analysis of more than 45 sources, expert evaluation of capstone projects from two cohorts of graduates (150 each), correlation analysis across 12 programs with varying shares of project work, and assessment of KPIs in 10 companies before and after training, using descriptive statistics and econometric modeling. The results demonstrate statistically significant outperformance of the integrated model: mean scores for systems thinking 8,47 vs 5,83, for innovative design 7,91 vs 4,92, and for communication 8,82 vs 6,15, with lower variance in scores; a strong positive association was recorded between the share of project work and mathematical proficiency (final scores increase as the share of practice rises to 65,7 %). At the business level, improvements were observed: Time-to-Market reduced by 18,56 %, the number of improvement proposals increased by 75,22 %, and internal customer satisfaction rose by 23,07 %, indicating a multiplicative effect from developing cross-cutting competencies. The findings confirm that the integration of theory and practice does not diminish but deepens fundamental preparation, converting into operational efficiency; recommended actions include redesigning curricula around project tasks, updating corporate terms of reference for training, and establishing mechanisms of state support for scaling, amid limitations in the standardization of assessment and the need for longitudinal studies and digital simulators.
Keywords: engineering education, project-based learning, cross-cutting competencies, continuing professional education, integration of mathematics

S. V. Kurovsky, D. A. Mishin (Higher School of Education LLC, Odintsovo)

Ensuring environmental safety in the construction of pipeline systems in the oil and gas sector

The relevance of this issue is due to a complex set of interrelated global and industry-specific factors affecting environmental safety in the construction of pipeline systems in the oil and gas sector. These factors include the extensive development of urban infrastructure, the global greening of territories, the improvement of the regulatory framework for ensuring environmental safety in the construction of pipeline systems in the oil and gas sector, the technological development and digitalization of the pipeline transport sector, and the need for social responsibility and economic efficiency in the transportation of fuel and energy resources. This article identifies the specifics of ensuring environmental safety in the construction of pipeline systems in the oil and gas sector. It also discusses the design features of pipeline systems in the oil and gas sector, identifies the potential for the practical application of green technologies in pipeline construction, and presents the results of a comparative analysis of the advantages and disadvantages of traditional and green approaches to pipeline system construction in the oil and gas sector. The practical significance of the study lies in the fact that the results obtained can be used by Russian oil and gas companies to improve the methodological framework for managing pipeline networks and to enhance the implementation of work processes for transporting fuel and energy resources in the context of the need to minimize environmental risks and increase the environmental safety of pipeline operations.
Keywords: oil and gas pipelines; environmental safety; pipeline system construction; oil and gas transportation; production and technological processes; domestic oil and gas companies; natural ecosystems; green technologies; traditional approaches to construction; comparative analysis.

N. S. Sergienko (Financial University under the Government of the Russian Federation, Moscow)

Program-oriented approach in the organization of industrial MSW processing: Russian experience and foreign practice

The article considers a program-oriented approach to the organization of the municipal solid waste (MSW) management system in Russia and abroad. The Russian experience in the implementation of national programs and projects in the field of MSW processing, including regulatory initiatives and implementation at the regional level, is analyzed. A comparative review of government waste management programs in Germany, Japan, the Republic of Korea, Sweden, and the Netherlands was conducted, focusing on government regulatory mechanisms, economic incentives for business, public participation, infrastructure development, and achieved performance indicators. The key success factors and main barriers in the implementation of a program-oriented approach to waste recycling are highlighted. Recommendations are formulated for improving the hjccbqcrjq state waste management policy, taking into account national specifics.
Keywords: program-oriented approach; municipal solid waste; waste recycling; government programs; national project "Ecology"; separate collection; closed-loop economics.

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

Classification and typology of supply chains

The article highlights the features of supply chain classification. Based on these features, the supply chains have been classified. The principles of supply chain management have been analyzed. A comprehensive approach allows for the creation of flexible and sustainable supply chains. The fundamental difference between the types of supply chains lies in the number of parties involved and the complexity of managing material and information flows. This difference directly affects the efficiency of the entire supply system in a dynamic market environment.
Keywords: supply chains; product distribution; logistics chain; structure; and distribution centers.

Liu Yousha (Baku State University, Baku, Azerbaijan)

Development of the middle corridor infrastructure and its impact on cross-border cooperation between China and Azerbaijan in Eurasia

This article examines the strategic role of the Middle Corridor in transforming Eurasian transport logistics and strengthening China–Azerbaijan cooperation. Based on the analysis of infrastructure projects, statistical data, and World Bank forecasts, the study identifies the economic, political, and regional effects of the corridor’s development. Special attention is given to Azerbaijan's role as a transport hub, China's participation in investment initiatives, and the challenges related to infrastructure and geopolitical competition.
Keywords: Middle Corridor; Azerbaijan; China; transit; transport diplomacy; Eurasian integration.

As. B. Mottaeva (Financial University under the Government of the Russian Federation, Moscow)

Modernization of the Russian nuclear energy infrastructure in the context of technological sovereignty

The purpose of the article is to comprehensively analyze the infrastructure elements that determine the development of Russia's nuclear energy industry, identify barriers to modernization, and formulate strategic directions for strengthening the technological and production independence of the industry. The paper examines the institutional, research, production, and human resource aspects of the nuclear energy infrastructure. It assesses the impact of innovation and government policy on modernization processes. It justifies the need to integrate research centers, industrial enterprises, and educational institutions into a unified industry infrastructure system. Proposals are formulated to improve management efficiency, stimulate the introduction of domestic technologies, and develop mechanisms for public-private partnerships. The results of the study can be used in the development of strategic programs for the development of nuclear energy, the improvement of industry regulation, and the implementation of state policy in the field of technological sovereignty.
Keywords: nuclear energy; infrastructure; technological sovereignty; energy security; modernization; innovation; import independence; industrial policy; sustainable development; public-private partnership.

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

Assessing the benefits and risks of using Artificial Intelligence applications in scientific research from the perspective of faculty at Damascus university

This study identifies the benefits and risks of using artificial intelligence applications in scientific research from the perspective of faculty. The study involved 162 faculty members from the College of Economics at the University of Jordan. The use of artificial intelligence applications offers a number of advantages in scientific research, including analyzing large volumes and diverse data, saving time and effort, and accelerating research and writing. In addition to security risks, using artificial intelligence applications in scientific research also poses risks associated with data manipulation.
Keywords: artificial intelligence application; scientific research; faculty.

D. E. Morkovkin, Ya. O. Zubov, L. Yu. Arkhangelskaya, T. A. Belousova, N. P. Brozgunova, G. I. Alekseeva (Financial University under the Government of the Russian Federation, Moscow); L. N. Krapchina (Penza State University, Penza)

Methodological approach to the development and implementation of management decision support systems in industry based on artificial intelligence technologies

Modern industry operates under conditions of unprecedented technological transformation, characterized by intensive integration of artificial intelligence technologies into production management and strategic decision-making processes. The research is aimed at developing a comprehensive methodology for creating and implementing intelligent management decision support systems in industrial organizations. The subject of the study comprises theoretical foundations, methodological approaches, and practical tools for developing DSS based on artificial intelligence technologies. The evolution of concepts from Herbert Simon's classical decision theory to modern machine learning approaches and neural network technologies is examined. An analysis of the current state of AI solution implementation in Russian and global industry is conducted. Key factors for successful implementation of intelligent DSS are identified, including technological readiness of enterprises, availability of quality data, organizational culture, and personnel competencies. The scientific novelty lies in creating an integrated approach to DSS development that combines machine learning methods, expert systems, and traditional analytical tools.
Keywords: decision support systems; artificial intelligence; machine learning; industry; digital transformation; management decisions; predictive analytics; production automation.

A. V. Semenov, Sh. U. Niyazbekova (Moscow Witte University; Research and Education Center «Sustainable development», Moscow); G. I. Shepelin (Academy of Water Transport RUT MIIT, Moscow); V. V. Varzin (Russian State University named after A.N. Kosygin (Technologies. Design. Art), Moscow); S. P. Anzorova (St. Petersburg Institute of Special Pedagogy and Psychology, St. Petersburg); I. A. Zborovsky (Financial University under the Government of the Russian Federation, Moscow); Sh. K. Nurbekova (International University of Engineering and Technology, Almaty, Republic of Kazakhstan)

Coal industry: strategic support for the country's energy and raw materials security, technological restrictions, and regional disbalances

The coal industry remains a key element of the countries' fuel and energy complex, having a strategic importance and influencing the socio-economic development of the regions. The main goal of development is to ensure the country's energy and raw materials security, maintain jobs and economic stability in the regions, and expand exports to new markets. The key objectives of coal industry development have been studied. The subject of the study is the coal industry. The article presents data on coal production in North America, a list of coal-producing countries, the benefits of coal supply, and data on the volume of coal imports.
Keywords: coal industry; coal industry waste; strategic potential; regional economic development; regional economic sustainability; industrial waste dumps; government subsidies; costly logistics.