The concept of spatial-temporal optimization of transport and logistics processes of industrial enterprises
https://doi.org/10.46973/0201-727X_2025_2_219
Abstract
The concept of spatial-temporal optimization of transport and logistics processes of industrial enterprises is proposed based on a combination of methods of multicriterial analysis, routing on specialized graphs of transport infrastructure, dynamic optimization on spatial temporal graphs, simulation modeling and graph neural network. The combination of methods is necessary for forecasting and optimizing the parameters of transport and logistics processes in real time. The possibility of using the proposed combination of methods in the formation of optimal sequences of transport and logistics processes and synchronization of operational management of elements of the transport and logistics system of an industrial enterprise is shown. The developed approach will improve the efficiency of transport and logistics processes of industrial enterprises as a result of the integrated implementation of spatial-temporal optimization methods.
About the Author
P. N. MishkurovRussian Federation
Mishkurov Pavel Nikolaevich, Chair “Logistics and Transport Systems Management”, Candidate of Engineering Sciences, Associate Professor
References
1. Kozlov, P. A. Automated process control of processes in a transport hub / P. A. Kozlov, O. V. Osokin, V. Yu. Permikin // Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. – 2013. – No. 2 (50). – P. 118-122. – ISSN 0201-727X.
2. Rakhmangulov, A. N. Railway transport and technological systems : organization of functioning / A. N. Rakhmangulov, O. A. Kopylova, P. N. Mishkurov. – Magnitogorsk : Nosov Magnitogorsk State Technical University, 2014. – 300 p. – ISBN 978-5-9967-0458-0.
3. Methods of hybrid simulation technology in the selection of options for reconstructive measures for the development of railway routes and large junctions / A. F. Borodin, A. A. Kravchenko, K. Yu. Nikolaev [et al.] // Management of the development of large-scale systems (MLSD'2021) : Proceedings of the Fourteenth International Conference. – Moscow, 2021. – P. 963–971. – DOI 10.25728/4783.2021.67.10.001.
4. Transport and logistics systems in the context of systemic changes in the economy / E. A. Mamaev, A. N. Guda, V. A. Finochenko, K. A. Godovany // Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. – 2022. – No. 2 (86). – P. 145–154. – DOI 10.46973/0201-727X_2022_2_145.
5. Keita, K. A three-step Benders decomposition for the real-time Railway Traffic Management Problem / K. Keita, P. Pellegrini, J. Rodriguez // Journal of Rail Transport Planning & Management. – 2020. – Vol. 13. – Article no. 100170. – ISSN 2210-9706.
6. Design of an ITS for Industrial Enterprises / A. Rakhmangulov, A. Sładkowski, N. Osintsev // Studies in Systems, Decision and Control. – 2016. – Vol. 32. – P. 161–215. – DOI 10.1007/978-3-319-19150-8_6.
7. Industry 4.0 technologies applied to the rail transportation industry : A systematic review / C. Laiton-Bonadiez, J. W. Branch-Bedoya, J. Zapata-Cortes [et al.] // Sensors (Basel, Switzerland). – 2022. – Vol. 22, No. 7. – P. 2491. – ISSN 1424-8220.
8. An overview of current challenges and emerging technologies to facilitate increased energy efficiency, safety, and sustainability of railway transport / Z. Kljaić, D. Pavković, M. Cipek [et al.] // Future Internet. – 2023. – Vol. 15, No. 11. – P. 347. – ISSN 1999-5903.
9. Spatio-temporal graph neural networks for predictive learning in urban computing : A survey / G. Jin, Y. Liang, Y. Fang [et al.] // IEEE Transactions on Knowledge and Data Engineering. – 2023. – Vol. 36,No. 10. – P. 5388–5408. – ISSN 1041–4347.
10. The application of Industry 4.0 technologies in sustainable logistics : a systematic literature review (2012-2020) to explore future research opportunities / X. Sun, H. Yu, W. D. Solvang [et al.] // Environmental science and pollution research international. – 2022. – Vol. 29, No. 7. – P. 9560-9591. – ISSN 0944-1344.
11. Anda, C. Transport modelling in the age of big data / Cuauhtemoc Anda, Alexander Erath, Pieter Jacobus Fourie // International Journal of Urban Sciences. – 2017. – Vol. 21, No. S1. – P. 19–42. DOI 10.1080/12265934.2017.1281150.
12. Innovative processes of logistics management in intelligent transport systems : monograph. In 4 vols. Vol. 4 / L. A. Andreeva, V. V. Baginova, A. S. Balalaev [et al.]. – Moscow : Educational and Methodological Center for Education in Railway Transport, 2015. – 499 p. – ISBN 978-5-89035-870-7.
13. Adamko, N. Agent based simulation of transportation logistic systems / N. Adamko, A. Kavicka, V. Klima // DAAAM International Scientific Book 2007, chapter 36 / B. Katalinic (ed.). – Vienna, Austria : DAAAM International Publishing, 2007. – P. 407–422. DOI 10.2507/daaam.scibook.2007.36. –
14. Simulation models in digital twins of railway junctions / A. N. Rakhmangulov, S. N. Kornilov, P. N. Mishkurov, D. V. Alexandrin // Herald of the Ural State University of Railway Transport. – 2022. – No. 3 (55). – P. 43–59. – DOI 10.20291/2079-0392-2022-3-43-59.
15. Yerofeev, A. A. Forecasting the duration of technological operations in an intelligent transportation process management system / A. A. Yerofeyev, S. Yu. Chapsky // Bulletin of the Belarusian State University of Transport : Science and Transport. – 2022. – No. 1 (44). – P. 52-56. – ISSN 2227-1120.
16. Osokin, O. V. Intellectual support of production processes in railway transport / O. V. Osokin // Transport of the Urals. – 2013. – No. 4. – P. 37. – ISSN 1815-9400.
17. Kozlov, P. A. On the construction of intelligent control systems for railway stations / P. A. Kozlov, S. P. Vakulenko, V. S. Kolokolnikov // Science and Technology of Transport. – 2019. – No. 2. – P. 70–76. – ISSN 2074-9325.
18. Performance evaluation of a parallel ant colony optimization for the real-time train routing selection problem in large instances / B. Pascariu, M. Samà, P. Pellegrini [et al.] // European Conference on Evolutionary Computation in Combinatorial Optimization (Part of EvoStar). – Cham : Springer International Publishing, 2022. – P. 46-61. – DOI 10.1007/978-3-031-04148-8_4.
19. Osminin, A. T. On the development of an intelligent transportation process management system / A. T. Osminin // Railway Transport. – 2021. – No. 3. – P. 17–27. – ISSN 0044-4448.
20. Intellectualization of transport services for metallurgical enterprises / A. N. Rakhmangulov, N. A. Osintsev, P. N. Mishkurov, O. A. Kopylova // Stal. – 2014. – No. 4. – P. 115–118. – DOI 10.6084/m9.figshare.14134226.v1.
21. Karelin, V. P. Models and methods of graph theory in decision support systems / V. P. Karelin // Bulletin of the Taganrog Institute of Management and Economics. – 2014. – No. 2 (20). – P. 69–73. – ISSN 2071-9604.
22. Rakhmangulov, A. Spatio-temporal graphs in transportation : challenges, optimization, and prospects / A. Rakhmangulov, N. Osintsev, P. Mishkurov // Systems. – 2025. – Vol. 13, No. 4. – P. 263. – DOI 10.3390/systems13040263.
23. Ahuja, R. Network flows : theory, algorithms, and applications / R. Ahuja, T. Magnanti, J. Orlin // Prentice-Hall, Upper Saddle River, 1993. – 840 p. – ISBN 0-13-617549-X.
24. El-Sherbeny, N. A. The algorithm of the timedependent shortest path problem with time windows / N. A. El-Sherbeny // Applied Mathematics. – 2014. – No. 5 (17). – P. 2764–2770. – DOI 10.4236/am.2014.517264.
25. Mishkurov, P. N. Methodology of forming a transport network of railway stations / P. N. Mishkurov, A. N. Rakhmangulov, O. V. Fridrikhson // Bulletin of the Ural State University of Railway Transport. – 2021. – No. 3 (51). – P. 50–64. – DOI 10.20291/2079-0392-2021-3-50-64.
26. Völz, W. D. Ermittlung der Leistungsfähigkeit von Knotenpunkten spurgeführter Verkehrssysteme mittels Graphentheorie / W. D. Völz // Vorträge der Jahrestagung 1977 / Papers of the Annual Meeting 1977 DGOR. Physica-Verlag HD, 1978. – P. 440–449.
27. Montigel, M. Formal representation of track topologies by double vertex graphs / M. Montigel // Computers in Railways III : Proceedings of the Third International Conference on Computer Aided Design, Manufacture, and Operation in the Railway and Other Advanced Mass Transit Systems (Comprail 92) / edited by T. K. Murthy. – Washington, DC, U.S.A. : WIT Press, 1992. – P. 359–370.
28. A multi scalable model based on a connexity graph representation / L. Gély, G. Dessagne, P. Pesneau, F. Vanderbeck // COMPRAIL 2010 / edited by B. Ning, C. A. Brebbia : WIT Transactions on The Built Environment. – Beijing, China : WIT Press Southampton, UK, 2010. – P. 193–204. – DOI 10.2495/CR100191.
29. An improved multi-objective quantum-behaved particle swarm optimization for railway freight transportation routing design / Q. Zhang, S. Liu, D. Gong, H. Zhang // IEEE Access. – 2019. – Vol. 7. – P. 157353–157362. – DOI 10.1109/ACCESS.2019.2948197.
30. Osintsev, N. A. Multicriteria methods of deci
31. sion-making in transport and logistics / N. A. Osintsev // Transport of the Urals. – 2021. – No. 4 (71). – P. 3–17. – DOI 10.20291/1815-2021-4-3-17.
32. Kozlov, P. A. A Method of dynamic coordination of production and transport / P. A. Kozlov, S. P. Milovidov // collection of works of the Institute of complex transport problems. Iss. 105. – Moscow, 1985. – P. 156–163.
33. Mishkurov, P. N. Dynamic optimization of carriage flows / P. N. Mishkurov, A. N. Rakhmangulov. – Moscow : Rusains, 2017. – 110 p. – ISBN 978-5-4365-1820-6.
34. Neuro-fuzzy modeling of transport and logistics processes / O. N. Chislov, N. N. Lyabakh, M. V. Bakalov [et al.] // Transport : Science, Technology, Management. Scientific information collection. – 2022. – No. 10. – P. 23–27. – DOI 10.36535/0236-1914-2022-10-4.
35. Zhao, S. An attention and wavelet based spatial-temporal graph neural network for traffic flow and speed prediction / S. Zhao, S. Xing, G. Mao // Mathematics. – 2022. – No. 19 (10). – P. 3507. – DOI 10.3390/math10193507.
36. Jiang, W. Graph Neural Network for traffic forecasting : A survey / W. Jiang, J. Luo // Expert Systems with Applications. – 2022. – No. 207. – P. 117921. – ISSN 0957-4174.
37. Mishkurov, P. N. Method of presentation of management decisions in simulation models of railway stations / P. N. Mishkurov, A. N. Rakhmangulov // Research and development of rail and road transport : collection of works of the International scientific and practical conference, Yekaterinburg, May 22–23, 2024. – Yekaterinburg : Ural State University of Railway Transport, 2024. – P. 197–201.
38. Tominac, P. A. Spatio-temporal economic properties of multi-product supply chains / P. A. Tominac, W. Zhang, V. M. Zavala // Computers & Chemical Engineering. – 2022. – Vol. 159. – Article no. DOI 10.48550/arXiv.2106.13836. 107666.
39. Jiang, W. Graph neural network for traffic forecasting : A survey / W. Jiang, J. Luo // Expert Systems with Applications. – 2022. – No. 207. – Article no. DOI 10.48550/arXiv.2101.11174. – 117921
40. Multi-View Multi-Attention Graph Neural Network for Traffic Flow Forecasting / F. Wu, C. Zheng, C. Zhang [et al.] // Applied Sciences. – 2023. – No. 2 (13). – P. 711. – DOI 10.3390/app13020711.
41. Trofimov, S. V. Scientific and methodological foundations of the functioning and development of industrial transport systems : dissertation for the degree of Doctor of Technical Sciences : 05.22.01 / Trofimov Sergey Vladimirovich. – Moscow, 2004. – 245 p.
Review
For citations:
Mishkurov P.N. The concept of spatial-temporal optimization of transport and logistics processes of industrial enterprises. Vestnik Rostovskogo Gosudarstvennogo Universiteta Putej Soobshcheniya. 2025;(2):219-230. (In Russ.) https://doi.org/10.46973/0201-727X_2025_2_219
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