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All issues Volume 264 (2021) E3S Web Conf., 264 (2021) 05025 References
Open Access
Issue
E3S Web Conf.
Volume 264, 2021
International Scientific Conference “Construction Mechanics, Hydraulics and Water Resources Engineering” (CONMECHYDRO - 2021)
Article Number 05025
Number of page(s) 12
Section Engineering Materials Science, Intelligent Transport Systems and Transport Logistics
DOI https://doi.org/10.1051/e3sconf/202126405025
Published online 02 June 2021
  1. Voynov K. Stability of the laws for the distribution of the cumulative failures in railway transport, Transport problems, 3. (1). pp. 35–40. (2008) [Google Scholar]
  2. Bakirov A.R. Investigation of operating modes of rolling stock by statistical methods, Science and technology of transport, (1). pp. 82–89. (2007). [Google Scholar]
  3. Bakirov A.R. Research of operating modes of rolling stock by methods of the theory of probabilities and mathematical statistics, Transport of the Urals, 4 (15). pp. 20–24. (2007). [Google Scholar]
  4. Bakirov A.R. Research of operating modes of rolling stock by methods of the theory of probabilities and mathematical statistics, Bulletin of the Moscow Automobile and Road Institute (State Technical University), 3 (10). pp. 27–32. (2007). [Google Scholar]
  5. Ilesaliev D.I. Determination of the optimal values of the parameters of the loading and unloading area of packaged cargo, Bulletin of the Petersburg University of Railways, 3 (44). pp. 55–63. (2015) [Google Scholar]
  6. Ilesaliev D.I. Determination of the optimal parameters of the loading and unloading area using mathematical methods, Transport: problems, ideas, prospects: Sat. tr. LXXV All-Russian. scientific and technical conf. students, graduate students and young scientists. - SPb .: FGBOU VPO PGUPS, p. 227–233. (2015). [Google Scholar]
  7. Korovyakovsky E.K. Regularities of transport service of cotton fiber cargo traffic, Intelligent systems in transport: a collection of abstracts of the VI international scientific and practical conference dedicated to the 85th anniversary of the Faculty of Transportation Management. - SPb .: FGBOU VO PGUPS, pp. 47–48. (2014). [Google Scholar]
  8. Kochneva D.I. Modeling of streaming processes at a container terminal, Bulletin of the Ural State University of Railways, 2. (22). pp. 53–60. (2014) [Google Scholar]
  9. Kudryavtsev V.A., Zhukovskiy E.M., Efimenko Yu.I., Romanov A.P., Semyonov V.M., Application of mathematical methods in operational calculations on railway transport, 1.L LIIZHT p. 65. (1977). [Google Scholar]
  10. Malykhin M.O. Justification of the initial data when modeling the export of containers from the port to the rear terminal using the Block-Train technology, M.O. Malykhin, A.V. Kirichenko, Bulletin of the State University of Marine and River Fleet named after Admiral S.O. Makarova. 4. (32). pp. 22–30. (2015). [Google Scholar]
  11. Mironyuk V.P. Processing of the distribution of time for servicing vehicles when handling containers, Engineering Bulletin of the Don, 4. (18). pp. 568–572. (2011). [Google Scholar]
  12. Malikov O.B. Increase in processing capacity of the container terminal. Vestnik gosudarstvennogo morskogo universiteta im. admirala F.F. Ushakova, 3, (8), pp. 36–41. (2014). [Google Scholar]
  13. Daurenbek I. Ilesaliev, Shahboz R. Abduvakhitov, Azizbek F. Ismatullaev, Shakhobiddin G. Makhmatkulov. Research of the main storage area of the container terminal. International Journal of Engineering and Advanced Technology (IJEAT), 9 (1), p. 4625–4630. (2019). [Google Scholar]
  14. Ilesaliev, I.I., Makhmatkulov, S.G., Abduvakhitov, S.R. Peculiarities of container terminal functioning in delivery chains. IOP ConferenceSeries: Materials Science and Engineering, 918 (1), 012043. (2020). [Google Scholar]
  15. D.I. Ilesaliev, Sh.R. Abduvakhitov, G.R. Ibragimova, F.K. Azimov Razrabotka klassifikatsii konteynernykh terminalov po urovnyu razvitiya. Transport sholkovogo puti, 3, (2020) [Google Scholar]
  16. Luo J., Wu Y., Halldorsson A., Song X., Storage and stacking logistics problems in container terminals. OR Insight (24): pp 256–275. (2011) [Google Scholar]
  17. Stahlbock, R. and Voss, S. Operations research at container terminals: a literature update. OR Spectrum, 30 (1) pp 1–52. (2008). [Google Scholar]
  18. Steenken D, Voß S, Stahlbock R, Container terminal operations and operations research - a classification and literature review. OR Spectrum 26: pp 3–49. (2004). [CrossRef] [Google Scholar]
  19. Chen, L., Lu Z. The storage location assignment problem for outbound containers in a maritime terminal, International Journal of Production Economics, 135, pp 73–80, (2012) [Google Scholar]
  20. Cristina Serban, Doina Carp A Genetic Algorithm for Solving a Container Storage Problem Using a Residence Time Strategy. Studies in Informatics and Control, 26, (1), March 2017. (2017). [Google Scholar]
  21. Dekker R., Voogd P., Van Asperen E. Advanced methods for container stacking. OR Spectrum 2006; 28 (4), 563—86. (2006) [Google Scholar]
  22. Galle, V., Barnhart, C., and Jaillet, P. A new binary formulation of the restricted container relocation problem based on a binary encoding of configurations. European Journal of Operational Research, 267 pp 467–477. (2018). [Google Scholar]
  23. Khadjimukhametova М.А., Merganov A.M. Method for calculating the injection effect to create air circulation inside containers. International Journal of Innovative Technology and Exploring Engineering, 9 (1), 3222–3224. doi:10.35940/ijitee.A9160.119119. (2019). [Google Scholar]
  24. Ilesaliev, D., & Avaz, M. Research package efficiency general cargo. International Journal of Engineering and Advanced Technology, 9 (1), p. 6880–6884. doi:10.35940/ijeat.A2992.109119. (2019). [Google Scholar]

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