CITISE
ISSN 2409-7616
CITISE № 4(30) 2021
Economic sciences
Downloads

Savin G.V.

FORMATION OF STREAMING MODEL OF TRANSPORTATION AND LOGISTICS SYSTEM

DOI: http://doi.org/10.15350/2409-7616.2021.4.41

УДК 330.3

Savin G.V.1 (Yekaterinburg, Russian Federation) – E-mail: glebsavin@ya.ru

1Ural State University of Economics

Abstract. Today, the research of streaming processes in the digital-type transport and logistics system (TLS) is being built with the aim of developing the formation of a new integrated management system with streaming processes in the digital economy, which today is being transformed under the influence of cumulative factors. Note that today there is a progressive transition of transactions to the information space with a trend towards decentralization of economic resources, but there are no clear rules for building new types of economic relations. We emphasize that the patterns of behavior of economic agents are limited by existing institutions and infrastructure, and when making managerial decisions, limited human rationality forces us not to fully engage in economic agents, but to give priority to the terms of their behavior, introducing intellectual decisions and ensuring the evolutionary nature of the economic system. The author’s scientific idea is that, using a new rational-evolutionary approach in logistics, which, with the current development of digital technologies and an orientation towards economic growth and the quality of human life, a digital-type transport and logistics system allows you to get rid of routine operations, ensuring a higher level of coordinated interaction of economic agents, without abolishing rivalry and cooperation as a stage of their joint and dynamic development. At the same time, more rapid decision making is implemented using automated algorithms in real time, agreed with consumers in the framework of network and shared interaction, a digital-type TLS ecosystem is formed. As a result, the construction of a streaming model of digital-type TLS is formed under the influence of the representation of idealized structures, which today it is possible to realise at the current level of digitalization, as well as taking into account the prediction of basic processes, without replacing traditional approaches to evolutionary development.

Keywords: digital-type transport and logistics system, ecosystem, new rational-evolutionary approach, intelligent transport system, streaming model, digital logistics.

References:

  1. Dmitriev A.V. Digital logistics in the conditions of sustainable development. Bulletin of the Faculty of Management of St. Petersburg State Economic University, 2018, no 3, pp. 302-308. (In Russian). URL: https://elibrary.ru/item.asp?id=35288402
  2. Levin B., Mirotin L. Institute of Logistics and Supply Chains (or Logistics and Supply Systems). Logistics, 2016, no. 7 (116), pp. 34-36. (In Russian). URL: https://elibrary.ru/item.asp?id=27521316
  3. Kukareka S.Ya., Bashimova O.M., Turaev TC, Tashpulatov A.S. Evolutionary economics, innovation and creative economics. Science through the lens of time, 2019, no. 6 (27), pp. 86-88. (In Russian). URL: https://elibrary.ru/item.asp?id=38190572
  4. Lempert A.A., Stolbov A.B. Approach to the development of knowledge bases to support integrated research in infrastructure logistics. Information and mathematical technologies in science and management, 2018, no. 3 (11), pp. 45-54. (In Russian). URL: https://elibrary.ru/item.asp?id=36322159
  5. Popov E.V. Modeling of economic institutions. Monograph. Moscow, Yurite Publ., 2019. 643 p. URL: https://elibrary.ru/item.asp?id=41246113
  6. Sokolov I.A.  Robots, autonomous robotics systems, artificial intelligence and the transformation of the transport and logistics services market in the conditions of digitalization of the economy. International Journal of Open Information Technologies, 2018, no. 6(4), pp. 92-108. (In Russian). URL: https://elibrary.ru/item.asp?id=32794820
  7. Rozhko O.N. Creating a single information space for digital logistics using databases of intelligent transport systems. Bulletin of Economics, Law and Sociology, 2020, no.1, pp. 37-40. (In Russian). URL: https://elibrary.ru/item.asp?id=42729573
  8. Savin G. Quality indicator of the meso-level transport and logistics systemю Economic analysis: theory and practice, 2020, vol. 19, no. 11 (506), pp. 2116-2135. (In Russian) DOI: https://doi.org/10.24891/ea.19.11.2116
  9. Frolov D.P. Evolutionary economics at its peak and in crisis: the prospect of a new paradigm. Journal of Institutional Research, 2020, no. 12(1), pp. 19-37. (In Russian) DOI: 10.17835/2076-6297.2020.12.1.019-037
  10. Avtonomov V., Avtonomov Y. Four Methodenstreits between behavioral and mainstream economics. Journal of Economic Methodology, 2019, vol. 26, pp. 179-194.  DOI:  https://doi.org/10.1080/1350178X.2019.1625206
  11. Acheampong R.A., Cugurullo F., Dusparic I., Gueriau M. The transition to autonomous cars, the redesign of cities and the future of urban sustainability. Urban Geography. – 2020. – Vol. 42, 2021, Issue 6. – P. 833-859.  DOI: https://doi.org/10.1080/02723638.2020.1746096
  12. Attaran M. Digital technology enablers and their implications for supply chain management. Supply Chain Forum: An International Journal, 2020, vol. 21, pp.158-172. DOI: https://doi.org/10.1080/16258312.2020.1751568
  13. Barns S., Cosgrave E., Acuto M., Mcneill D. Digital Infrastructures and Urban Governance. Urban Policy and Research, 2016, vol. 35, pp. 20-31. DOI: https://doi.org/10.1080/08111146.2016.1235032
  14. Balasubramaniam А., Gul M.J., Menon V.G., Paul A., Blockchain for Intelligent Transport System. IETE Technical Review, 2021, vol. 38, issue 4, pp. 1-12. DOI: https://doi.org/10.1080/02564602.2020.1766385
  15. Benner M.  Smart specialization and institutional context: the role of institutional discovery, change and leapfrogging. European Planning Studies, 2019, vol. 27, no 9, pp. 1791-1810. DOI: https://doi.org/10.1080/09654313.2019.1643826
  16. Clayton W., Paddeu D., Parkhurst G., Parkin J. Autonomous vehicles: who will use them, and will they share? Transportation Planning and Technology, 2020, vol. 43, pp. 343-364. DOI: https://doi.org/10.1080/03081060.2020.1747200
  17. Collado A., Kakderi C., Komninos N., Panori A., Papadaki I. Digital Transformation of City Ecosystems: Platforms Shaping Engagement and Externalities across Vertical Markets. Journal of Urban Technology, 2020, vol. 28, pp. 93-114. DOI: https://doi.org/10.1080/10630732.2020.1805712
  18. George B., Paul J., Shahriar S. Digital transformation in business and society: theory and cases. Asia Pacific Business Review, 2020, vol. 26, issue 4, pp. 523-525.  DOI: https://doi.org/10.1080/13602381.2020.1738074  
  19. Jiang X. Digital economy in the post-pandemic era. Journal of Chinese Economic and Business Studies, 2020, vol. 18, pp. 333-339. DOI: https://doi.org/10.1080/14765284.2020.1855846
  20. Koh L., Dolgui A., Sarkis J. Blockchain in transport and logistics – paradigms and transitions. International Journal of Production Research, 2020, vol. 58, pp. 2054-2062. DOI: https://doi.org/10.1080/00207543.2020.1736428
  21. Lagorio A., Zenezini G., Mangano G., Pinto R. A systematic literature review of innovative technologies adopted in logistics management. International Journal of Logistics Research and Applications, 2020, vol. 11, pp. 1-24. DOI: https://doi.org/10.1080/13675567.2020.1850661
  22. Maalsen S., Perng S.-Y. Civic Infrastructure and the Appropriation of the Corporate Smart City. Annals of the American Association of Geographers, 2020, vol.110, no 2, pp. 507-515. DOI: https://doi.org/10.1080/24694452.2019.1674629
  23. Malone K., Silla A., Johanssen C., Bell D. Safety, mobility and comfort assessment methodologies of intelligent transport systems for vulnerable road users. European Transport Research Review, 2019, vol. 9 (2). DOI: https://doi.org/10.1007/s12544-017-0235-y
  24. Nixa A., Deckerb S. Using digital sources: the future of business history? Business History, 2021, vol. 04, pp. 1-23. DOI:  https://doi.org/10.1080/00076791.2021.1909572
  25. Pournader M., Shi Y., Seuring S., Koh L. Blockchain applications in supply chains, transport and logistics: a systematic review of the literature. International Journal of Production Research, 2020, vol. 58, pp. 2063-2081. DOI: https://doi.org/10.1080/00207543.2019.1650976
  26. Qu T., Thürer M., Wang J., Wang Z., Fu H., Li C., Huang G., System dynamics analysis for an Internet-of-Things-enabled production logistics system. International Journal of Production Research, 2017, vol. 55, pp. 2622-2649.  DOI: https://doi.org/10.1080/00207543.2016.1173738
  27. Shermukhamedov A.T., Kabulov A.A., Abdullaeva D.K. Digital logistics: innovative complex of transport services. Journal of Applied Research, 2020, vol. 2, pp. 22-26. URL: https://elibrary.ru/item.asp?id=43081427
  28. Truca A. Is ‘new’ behavioral economics ‘mainstream’? Journal of Economic Methodology, 2018, vol. 25, pp. 83-104. DOI: https://doi.org/10.1080/1350178X.2017.1407436
  29. Wang H., Quan W., Ochieng W.Y. Smart road stud based two-lane traffic surveillance. Journal of Intelligent Transportation Systems, 2020, vol. 24, pp. 480-493. DOI: https://doi.org/10.1080/15472450.2019.1610405
  30. Winkelhaus S., Grosse E. Logistics 4.0: a systematic review towards a new logistics system International. Journal of Production Research, 2020, vol. 58, pp. 18-43. DOI: https://doi.org/10.1080/00207543.2019.1612964

For citation:

Savin G.V. Formation of streaming model of transportation and logistics system. CITISE, 2021, no. 4, pp.441-454. DOI: http://doi.org/10.15350/2409-7616.2021.4.41

ЦИТИСЭ © 2024
ЭЛ № ФС 77 - 59069 / ISSN 2409-7616