2782-6333 3 17 2025 1-92

RAR RUS 7-21 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation Savchenko Natalia S-8637-2017 56023272600 0000-0003-1403-3447 Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Kudryavtseva Tatiana kudryavtseva_tyu@spbstu.ru

Polytechnicheskaya 29

0000-0002-6972-2082 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation Rodionova Maria THE INFLUENCE OF METEOROLOGICAL FACTORS ON THE SEVERITY OF ROAD ACCIDENTS The study is devoted to the analysis of the influence of various weather conditions (atmospheric pressure, air temperature and precipitation) on the severity of road accidents in the city of St. Petersburg. The purpose of the work is to identify patterns between meteorological factors and the severity of the consequences of an accident. The paper uses data analysis methods: descriptive statistics, data visualization, and calculation of the p-value to test hypotheses. The analysis showed that there were no statistically significant differences in the severity distribution of accidents in terms of precipitation. The differences between precipitation regimes and "dry" conditions do not reach significance. There are also no differences in atmospheric pressure (758 – 763 mmHg) (p ≈ 0.8); the high proportion of accidents at "non-normal" pressures reflects the distribution of observations, rather than an increase in severity. The temperature shows a statistically significant difference between the groups (p = 0.013). To clarify the role of weather, models with higher time details (precipitation intensity, transitions through 0 °C) are needed, taking into account traffic, visibility, road type, and seasonality. In general, an increased risk of severe and fatal accidents is observed at temperatures of 0 – 5 °C and precipitation, especially intense. The findings can be used to adapt urban infrastructure to adverse weather events and develop warning systems for drivers. 10.48554/SDEE.2025.3.1 51-7 traffic accidents weather conditions atmospheric pressure air temperature precipitation transport safety https://sustainable.spbstu.ru/article/2025.17.1/ sdee_2025_3__1.pdf

RAR RUS 22-40 Laboratory “Digital modeling of production systems” Faculty of Digital Engineering, SPbPU, St. Petersburg, Russia Malashenko Marina Laboratory “Digital modeling of production systems” Faculty of Digital Engineering, SPbPU, St. Petersburg, Russia Seredin Evgeny Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Tereshko Ekaterina

Polytechnicheskaya 29

DIGITALIZATION OF DESIGN IN THE OIL AND GAS INDUSTRY: CHALLENGES AND SOLUTIONS THROUGH A STRATEGIC APPROACH The article discusses the problem of digitalization of oil and gas field design, the purpose of which is to develop a strategic map for managing the process of digital transformation at the stage of field design. The relevance of the research is determined by the need to increase the efficiency and integration of new technologies in the context of increasing technological complexity. The object of the research is the process of designing oil and gas fields, and the methodology includes the analysis of modern problems of digital transformation and the study of implemented technologies such as BIM, digital twins, cloud platforms for collaboration, artificial intelligence, machine learning, AR/VR, Big Data. As a result of the analysis, key problems and directions of digitalization were identified, and the structure of the strategic map of the digital transformation of economic entities in the development of an oil and gas field (design process) was developed, which links digital initiatives with the goals of the company (economic entity). Targets, sub-targets in targets, and control indicators are defined for the strategic map. In conclusion, it is emphasized that the application of the strategic map will make it possible to combine disparate initiatives, increase the manageability of transformation and create a sustainable infrastructure for the design of oil and gas facilities, which is important for the competitiveness of companies in the industry. 10.48554/SDEE.2025.3.2 338.24 digitalization digital technologies design oil and gas industry oil and gas field strategic approach strategic map https://sustainable.spbstu.ru/article/2025.17.2/ sdee_2025_3__2.pdf

RAR RUS 41-65 0000-0002-5680-1937 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russian Federation Burlutskaya Zhanna Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Sharko Polina sgutman@spbstu.ru W-8013-2019 57203897426 0000-0002-9703-5079 Peter the Great St. Petersburg Polytechnic University, Russian Federation Gintciak Aleksei gintsyak_am@spbstu.ru Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation Pospelov Kapiton DEFINITION AND FORMALIZATION OF THE RELATIONSHIPS OF THE STRUCTURAL ELEMENTS OF DISTRIBUTED PRODUCTION SYSTEMS IN THE CONTEXT OF THE TASK OF FORMING A SCHEDULE This paper is devoted to formalizing the task of scheduling in distributed production systems. The paper examines the features of complex production systems, including the uncertainty characteristic of real production systems, the multi-agent nature of the interaction of elements and the multiplicity of target functions, as well as their impact on the parameters of the production schedule. The paper provides an analysis of scientific literature in the field of distributed production system modeling based on scientific publications presented in Scopus and RSCI. Based on the results of the analysis of international experience in modeling distributed production systems, the structural elements of distributed production systems are described in the context of the task of scheduling. The result of the work is an ontological model of the scheduling process in distributed production systems as a set of strategic interactions in the terminology of game theory and multi-agent systems. To describe game interactions, a set of formalized strategies and agent payoffs in a top-down pattern of game interaction is provided, and a description in terms of BDI models of agents of a multi-agent system involved in the production schedule is also provided. An ontological model of the communication network of the structural elements of distributed production systems is also given in the context of the task of scheduling. The results obtained are the basis for the development of a decision support system for scheduling in distributed production systems. 10.48554/SDEE.2025.3.3 519.876.2 production schedule complex systems distributed production systems multi-agent approach game theory https://sustainable.spbstu.ru/article/2025.17.3/ sdee_2025_3__3.pdf

RAR RUS 66-78 Peter the Great St. Petersburg Polytechnic University, Saint-Petersburg, Russia Stepanova Sofiia 0009-0009-6448-9486 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation Beketov Salbek A HYBRID APPROACH TO PROCESS MODELING AND INVENTORY MANAGEMENT OF BUILDING MATERIALS The article is devoted to the development of a hybrid approach to modeling inventory management processes. Typical features of inventory management in conditions of variable demand, seasonality and uncertainty of supplies typical for the construction industry are considered. As part of the study, the current state of warehouse and logistics processes was described and typical BPMN diagrams were constructed that reflect the full cycle of material movement: from demand generation and procurement to acceptance, storage and transfer of materials to construction sites. Based on this process approach, it is proposed to create a hybrid simulation model combining discrete event modeling and elements of system dynamics, which will allow taking into account seasonal fluctuations in demand, changes in supply conditions and other external factors. The results of the study are the basis for developing a model of the target state of processes aimed at reducing the risks of shortage and excessive accumulation of materials, as well as improving the efficiency of warehouse and logistics processes. The proposed approach is focused on the formation of a sustainable inventory management system that ensures the reduction of excessive accumulation of materials, reduction of losses and rational use of resources. The use of a hybrid simulation model will allow taking into account both long-term trends in demand and operating conditions of the system, as well as operational features of warehouse processes, which will increase the stability and adaptability of inventory management. 10.48554/SDEE.2025.3.4 519.876.2 inventory management inventory building materials management automation logistics processes material flow modeling https://sustainable.spbstu.ru/article/2025.17.4/ sdee_2025_3__4.pdf

RAR RUS 79-92 Economic Research Institute, Donetsk, Russia Ponomarenko Alla Economic Research Institute, Donetsk, Russia Shemiakina Natalia STIMULATING INDUSTRIAL DEVELOPMENT OF THE REGION IN THE CONTEXT OF TECHNOLOGICAL SOVEREIGNTY USING A LEASING PAYMENT OPTIMIZATION MODEL This article analyzes the incentives for industrial growth from the perspective of modern Russia's strategic priorities to create an environment conducive for scientific, technological, and engineering advances. The key national challenges lie in overcoming the technological gap in industry at the regional level, which requires systematic, high-quality upgrading of production facilities. Since the technological capacity of the industrial sector is the fundamental factor in achieving technological sovereignty, the role of leasing as one of the instruments of industrial policy in this process is substantiated. The goal of the work is to improve the scientific and methodological approach to the use of leasing in stimulating industrial development in the context of technological sovereignty. The study focuses on several complex issues, analyzing conceptual approaches to technological sovereignty and industrial policy. Furthermore, we constructed a model for optimizing leasing payments adapted to the conditions of post-conflict industrial recovery in a new region of the Russian Federation based on fostering industrial partnerships. The main result of the study is the calculation of leasing payments taking into account the risk premium and interest rate subsidies, allowing to justify measures for economic stimulation of leasing operations in the industry of a region with specific economic conditions, increasing their mutual benefit for the lessor and the lessee. 10.48554/SDEE.2025.3.5 338 stimulation industrial development technological sovereignty optimization model leasing https://sustainable.spbstu.ru/article/2025.17.5/ sdee_2025_3__5.pdf