<?xml version="1.0" encoding="utf-8"?>
<journal>
  <titleid/>
  <issn>2782-6333</issn>
  <journalInfo lang="ENG">
    <title>Sustainable Development and Engineering Economics</title>
  </journalInfo>
  <issue>
    <number>4</number>
    <altNumber>14</altNumber>
    <dateUni>2024</dateUni>
    <pages>1-104</pages>
    <articles>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>9-22</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia</orgName>
              <surname>Nikitin</surname>
              <initials>Nikolay</initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia</orgName>
              <surname>Ilin</surname>
              <initials>Igor</initials>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia</orgName>
              <surname>Dubgorn</surname>
              <initials>Alissa </initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">The Task of Allocating Operations to Work Centers: Modern Approaches to Cost Minimization and Efficiency Improvement under Resource Constraints</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Allocation of operations to work centers is a key management task in modern production systems. Its relevance stems from the need to optimize the use of limited resources to achieve high efficiency and productivity. However, the problem is complicated by the combinatorial complexity associated with the discrete nature of operations and the need to consider multiple factors, including resource constraints, time constraints, and process requirements. This requires specialized approaches to find efficient solutions. This paper is devoted to analyzing such approaches. The paper considers actual problems of optimization of operations distribution to work centers in modern production systems. Particular attention is paid to the problems of minimizing variable costs associated with the changeover of equipment and increasing the overall efficiency of production processes. The paper considers the limitations of classical optimization methods such as linear programming, a review of modern approaches, including combinatorial algorithms, methods of the theory of schedules. Special attention is paid to heuristic algorithms, such as genetic algorithms, simulated annealing, and ant algorithms, which allow us to find acceptable solutions in a short time. The paper also discusses the key factors affecting the scheduling, such as resource constraints, time constraints, and technological requirements. Considering the conditions of the production problem posed in the paper problem and based on analyzing the advantages and disadvantages of existing methods of its solution, as an alternative it is proposed and substantiated the use of multi-agent approach with the application of heuristic algorithms for the distribution of work operations at production enterprises.</abstract>
        </abstracts>
        <codes>
          <doi>10.48554/SDEE.2024.4.1</doi>
          <udk>338</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>NP-complete problems</keyword>
            <keyword>schedule theory</keyword>
            <keyword>agent</keyword>
            <keyword>system</keyword>
            <keyword>multi-agent approach</keyword>
            <keyword>efficiency</keyword>
            <keyword>business process</keyword>
            <keyword>heuristic algorithms</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://sustainable.spbstu.ru/article/2024.14.1/</furl>
          <file>SDEE-2024%2C-4_1.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>24-36</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia</orgName>
              <surname>Pishchalkin</surname>
              <initials>Denis </initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russian Federation</orgName>
              <surname>Pishchalkina</surname>
              <initials>Ilona</initials>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia</orgName>
              <surname>Suloeva</surname>
              <initials>Svetlana</initials>
              <address>Polytechnicheskaya 29</address>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Transformation of the Risk Management System of Mining and Metallurgical Enterprises under the Influence of Structural Crises</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">Mining and metallurgical companies (MMCs), as budget-forming and city-forming enterprises, have an impact on related sectors of the economy and are also affected by changes in other industries. In particular, MMCs are exposed to imbalances from structural crises. The article systematises the types of economic crises, substantiates their significance, and highlights relevant features. A pertinent observation is the increasing role of the risk management system as part of the effective management of the whole enterprise. To promptly respond to external challenges, MMCs must transform internal corporate risk management systems. We propose that such a transformation requires the implementation of a risk control system (RC) based on an integration approach. We present an RC system that involves step-by-step and coordinated risk management and business processes of the MMC. To this end, we formulate the requirements for developing a risk management system, considering the specifics of the MMC and the features of structural crises. We then develop the structural and logical schema of the RC system. This scheme is decomposed and divided into procedures to demonstrate the interaction between the enterprise management system and the risk management system. Some advantages of the proposed RC system include its integration approach and the underlying principles of balance, interconnection, and coordination, which provide connectivity with the company’s corporate management system and allow the consideration of the impact of structural crises and other factors through benchmarks comprising risk factors.</abstract>
        </abstracts>
        <codes>
          <doi>10.48554/SDEE.2024.4.2</doi>
          <udk>338.4</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>risk management</keyword>
            <keyword>risk control</keyword>
            <keyword>mining and metallurgical enterprise</keyword>
            <keyword>structural crisis</keyword>
            <keyword>risk factors</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://sustainable.spbstu.ru/article/2024.14.2/</furl>
          <file>SDEE-2024%2C-4_2.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>37-58</pages>
        <authors>
          <author num="001">
            <authorCodes>
              <researcherid>A-9693-2017</researcherid>
              <scopusid>56087793300</scopusid>
              <orcid>0000-0002-1254-0464</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia</orgName>
              <surname>Rodionov</surname>
              <initials>Dmitrii</initials>
              <email>drodionov@spbstu.ru</email>
              <address>Polytechnicheskaya 29</address>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University, Russia</orgName>
              <surname>Dmitriev</surname>
              <initials>Nikolay</initials>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Jiangsu Industrial Technology Research Institute (JITRI), National Innovation Center of Excellence – Yangtze Delta (NICE), Nanjing, People's Republic of China</orgName>
              <surname>Li</surname>
              <initials>Lianyin</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Role of Subsidies in Stimulating Economic Growth in China: Prospects for Expanding the Social Credit System</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">This study examines the role of government subsidies and private sector lending in stimulating China's economic growth while assessing the prospects for expanding the social credit system. This study covers the period from 1990 to 2023 and is based on data from the National Bureau of Statistics of China, the World Bank and the International Monetary Fund. The paper applies theoretical analysis, as well as correlation and regression methods, to assess the long-term impact of various types of subsidies on macroeconomic indicators. The article examines theoretical models describing the relationship between social subsidies and economic growth and analyzes government subsidy programs. Special attention is given to the analysis of the social credit system, which evaluates the behavior of citizens and organizations, encouraging compliance with laws and regulations to enhance social stability and predictability in economic agents' behavior. The findings demonstrate significant correlations between the volume of social subsidies and economic growth, indicating that social subsidies encourage household spending. However, the long-term effectiveness of subsidies in increasing productivity and innovation remains limited. In conclusion, it is noted that there is a need to improve the mechanisms for distributing subsidies and integrating the social credit system in order to achieve more effective economic growth, taking into account the need to maintain social stability in Chinese society.</abstract>
        </abstracts>
        <codes>
          <doi>10.48554/SDEE.2024.4.3</doi>
          <udk>330</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>economic growth</keyword>
            <keyword>government subsidies</keyword>
            <keyword>sustainability</keyword>
            <keyword>macroeconomic indicators</keyword>
            <keyword>social credit system</keyword>
            <keyword>correlation analysis</keyword>
            <keyword>regression analysis</keyword>
            <keyword>social subsidies</keyword>
            <keyword>private sector lending</keyword>
            <keyword>social stability</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://sustainable.spbstu.ru/article/2024.14.3/</furl>
          <file>SDEE-2024%2C-4_3.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>60-72</pages>
        <authors>
          <author num="001">
            <individInfo lang="ENG">
              <orgName>Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia</orgName>
              <surname>Gutman </surname>
              <initials>Svetlana </initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia</orgName>
              <surname>Rytova</surname>
              <initials>Elena </initials>
            </individInfo>
          </author>
          <author num="003">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia</orgName>
              <surname>Volobueva</surname>
              <initials>Anara</initials>
            </individInfo>
          </author>
          <author num="004">
            <individInfo lang="ENG">
              <orgName>Peter the Great St. Petersburg Polytechnic University, Saint Petersburg, Russia</orgName>
              <surname>Kozhina</surname>
              <initials>Kseniya</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Impact of Transport System Development on CO2 Emission Level</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The main objective of this study is to examine the influence of the transport system on CO2 emission levels. To achieve this goal, first, identify existing interrelationships between transport performance indicators and CO2 emissions was established, and the direction and degree of impact of significant performance indicators of the transport system on emissions were assessed. Next, based on analysis and synthesis of the literature – both domestic and foreign – factors that have the greatest influence on the level of CO2 emissions were identified and systematized. Assuming that there are causal relationships between the amount of CO2 emissions and the performance of the transport system, three hypotheses were put forward. To test the hypotheses, two models – end-to-end regression and regressions with effects – were considered to characterize the dependence of CO2 emissions on transport system performance. Model testing was conducted to choose the best model for analysis. It was found that the fixed-effects regression model is preferable to the random-effects and end-to-end regression models with regard to identifying and assessing the transport system indicators that can be managed to improve environmental conditions in various regions of the Russian Federation.</abstract>
        </abstracts>
        <codes>
          <doi>10.48554/SDEE.2024.4.4</doi>
          <udk>332.142.6</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>transport</keyword>
            <keyword>CO2 emissions</keyword>
            <keyword>transport system</keyword>
            <keyword>region</keyword>
            <keyword>ecological state</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://sustainable.spbstu.ru/article/2024.14.4/</furl>
          <file>SDEE-2024%2C-4_4.pdf</file>
        </files>
      </article>
      <article>
        <artType>RAR</artType>
        <langPubl>RUS</langPubl>
        <pages>74-104</pages>
        <authors>
          <author num="001">
            <authorCodes>
              <orcid>0000-0002-5417-6648</orcid>
            </authorCodes>
            <individInfo lang="ENG">
              <orgName>Russian-Armenian University, Yerevan, Armenia</orgName>
              <surname>Voskanyan</surname>
              <initials>Mariam</initials>
            </individInfo>
          </author>
          <author num="002">
            <individInfo lang="ENG">
              <orgName>Russian-Armenian University, Yerevan, Armenia</orgName>
              <surname>Galstyan</surname>
              <initials>Ani</initials>
            </individInfo>
          </author>
        </authors>
        <artTitles>
          <artTitle lang="ENG">Analysis and Evaluation of the Logistics of Armenia's Transport Routes in Foreign Trade</artTitle>
        </artTitles>
        <abstracts>
          <abstract lang="ENG">The current geopolitical picture of the world has become a serious challenge for many countries. In addition to many different turbulent phenomena, changes in logistics and transport routes between countries can also be observed in the global economy of the current period. Along with the changing roles and the struggle for various geopolitical interests, issues of transport communications and transit opportunities for countries are coming to the fore. The problem of developing transport and logistics routes has become even more urgent for Armenia and requires an immediate solution. The key objective of the study was to assess the possibilities of Armenia's transport logistics in terms of its interaction with both countries and third countries, including from the perspective of expanding re-exports over the past few years. The research methodology is based on the analysis of the impact of transport communications on the economic development and well-being of Armenia. Methods of qualitative and statistical analysis, as well as observation and synthesis are used. The information base includes statistics on cargo transportation and the commodity structure of Armenia's trade with the EAEU and third countries. As a result, it was revealed that the existing transport and logistics system of Armenia is poorly developed and significantly hinders the development of the country's economic potential. The main conclusion of the study was the thesis about the need to develop logistics transport systems in order to have a positive impact on Armenia's economic growth and development in the long term.</abstract>
        </abstracts>
        <codes>
          <doi>10.48554/SDEE.2024.4.5</doi>
          <udk>339.5</udk>
        </codes>
        <keywords>
          <kwdGroup lang="ENG">
            <keyword>transport logistics</keyword>
            <keyword>import</keyword>
            <keyword>export</keyword>
            <keyword>re-export</keyword>
            <keyword>Armenia</keyword>
            <keyword>EAEU</keyword>
          </kwdGroup>
        </keywords>
        <files>
          <furl>https://sustainable.spbstu.ru/article/2024.14.5/</furl>
          <file>SDEE-2024%2C-4_5.pdf</file>
        </files>
      </article>
    </articles>
  </issue>
</journal>
