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Robotic automation of inland container terminals

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents the analysis of options for a transshipment terminal system with consideration of Russian transport system development. The aim is to determine the premises and possible problems, considering human absence, in the technological process at an inland container terminal. Statistical methods are used to analyze the market of robotic automation and the perspective for unmanned technology introduction. Simulation modeling of inland container terminal operation with various types of equipment, to study the applicability of robotic automation. The choice of modeling equipment results from the impossibility of completing an experiment on the real object, difficulties of analytical modeling (the system contains casual relations, nonlinear logic, stochastic variables), and the necessity to analyze the system’s time behavior. Consideration of robotic automation in a terminal warehouse complex is of particular importance due to technological progress followed by the freight terminal to be an area with highly organized technological processes and the need for highly paid specialists.
Rocznik
Strony
69--76
Opis fizyczny
Bibliogr. 33 poz., rys.
Twórcy
  • Emperor Alexander I Petersburg State Transport University 9, Moskovsky pr., Saint Petersburg, Russian Federation
  • Emperor Alexander I Petersburg State Transport University 9, Moskovsky pr., Saint Petersburg, Russian Federation
  • Emperor Alexander I Petersburg State Transport University 9, Moskovsky pr., Saint Petersburg, Russian Federation
Bibliografia
  • 1. Arefev, I.B. & Korovyakovsky, E.K. (2018) Analysis and modelling of transport nodes: monograph. Moscow (in Russian).
  • 2. Briskorn, D. & Hartmann, S. (2006) Simulating dispatching strategies for automated container terminals. In: Haasis H.D., Kopfer H., Schönberger J. (eds) Operations Research Proceedings, 2005. Berlin, Heidelberg, German: Springer, pp. 97–102.
  • 3. Briskorn, D., Jaehn, F. & Wiehl, A. (2019) A generator for test instances of scheduling problems concerning cranes in transshipment terminals. OR Spectrum 41, pp. 45–69.
  • 4. Carlo, H., Vis, I. & Roodbergen, K. (2014) Transport operations in container terminals: Literature overview, trends, research directions and classification scheme. European Journal of Operational Research 236, pp. 1–13.
  • 5. Dekker, R., Voogd, P. & van Asperen, E. (2006) Advanced methods for container stacking. OR Spectrum 28, pp. 563–586
  • 6. Froyland, G., Koch, T., Megow, N., Duane, E. & Wren, H. (2008) Optimizing the landside operation of a container terminal. OR Spectrum 30, pp. 53–75.
  • 7. Gharehgozli, A.H., Vernooij, F.G. & Zaerpour, N. (2017) A simulation study of the performance of twin automated stacking cranes at a seaport container terminal. European Journal of Operational Research 261, 1, pp. 108–128.
  • 8. Grunow, M., Günther, H. & Lehmann, M. (2006) Strategies for dispatching AGVs at automated seaport container terminals. OR Spectrum 28, pp. 587–610.
  • 9. Hu, Z.H., Sheu, J.B. & Luo, J.X. (2016) Sequencing twin automated stacking cranes in a block at automated container terminal. Transportation Research Part C 69, pp. 208–227.
  • 10. Hutchison Ports ECT (2018) Hutchison Ports ECT Delta. [Online] Available from: https://www.ect.nl/en/terminals/ hutchison-ports-ect-delta [Accessed: December 15, 2019].
  • 11. International Federation of Robotics (2018) Representing the global robotics industry. Frankfurt.
  • 12. Kovalyov, M., Pesch, E. & Ryzhikov, A. (2018) A note on scheduling container storage operations of two Non-passing stacking cranes. Networks 71.
  • 13. Lee, T., Park, N. & Lee, D.A. (2003) Simulation study for the logistics planning of a container terminal in view of SCM. Maritime Policy & Management 30, pp. 243–254.
  • 14. Liu, C.I., Jula, H. & Ioannou, P.A. (2002) Design, simulation, and evaluation of automated container terminals. IEEE Transactions on Intelligent Transportation Systems 3, 1, pp. 12–26.
  • 15. Luo, J., Wu, Y. & Mendes, A. (2016) Modelling of integrated vehicle scheduling and container storage problems in unloading process at an automated container terminal. Computers & Industrial Engineering 94, pp. 32–44.
  • 16. McKinsey (2018) The future of automated ports. [Online]. Available from: https://www.mckinsey.com/industries/travel-transport-and-logistics/our-insights/the-future-of-automated-ports [Accessed: December 15, 2019].
  • 17. Moorebank Logistics Park (2018) Moorebank Logistics Park (MLP) is Australia’s largest freight infrastructure project and will link Port Botany direct to rail terminals and warehousing on a 243 hectare site. [Online] Available from: http:// qubemlp.com.au/about [Accessed: December 15, 2019].
  • 18. Nam, K., Kwak, K. & Yu, M. (2002) Simulation study of container terminal performance. Journal of Waterway, Port, Coastal and Ocean Engeenering 128, pp. 126–132.
  • 19. Ottjes, J.A., Hengst, S. & Tutuarima, W.H. (1994) A simulation model of a sailing container terminal service in the port of Rotterdam. In Proceedings of the European Conference on Modelling and Simulation ESM-94, Barcelona, Spain.
  • 20. President of The Russian Federation (2018) Decree of The President of The Russian Federation No. 204. Moscow.
  • 21. Rizzoli, A.E., Fornara, N. & Gambardella, L.M. (2002) A simulation tool for combined rail/road transport in intermodal terminals. Mathematics and Computer in Simulation 59, pp. 57–71.
  • 22. ROSSTAT (2017) Labor and employment in Russia. Moscow (in Russian).
  • 23. Russian Railways (2012a) The concept of complex development of container business in JSC Russian Railways Holding. Moscow (in Russian).
  • 24. Russian Railways (2012b) The concept of designing terminal and logistics centers on the territory of the Russian Federation. Moscow (in Russian).
  • 25. Russian Railways (2013) The concept of development of transport and logistics business JSC Russian Railways. Moscow (in Russian).
  • 26. Stahlbock, R. & Voss, S. (2008) Operations research at container terminals: A literature update. Operations Research-Spektrum 30, pp. 1–52.
  • 27. Stavrou, D., Timotheou, S., Panayiotou, C.G. & Polycarpou, M.M. (2017) Assignment and Coordination of Autonomous Robots in Container Loading Terminals. IFACPapersOnLine 50, 1, pp. 9712–9717.
  • 28. Stavrou, D., Timotheou, S., Panayiotou, C.G. & Polycarpou, M.M. (2018) Optimizing Container Loading With Autonomous Robots. IEEE Transactions on Automation Science and Engineering 15, 2, pp. 1–15.
  • 29. Steenken, D., Voss, S. & Stahlbock, R. (2004) Container terminal operation and operations research – A classification and literature review. OR Spectrum 26, pp. 3–49.
  • 30. TransContainer (2019) Annual report of PJSC TransContainer for 2018. Annual report. TransContainer – container transportation. [Online]. Available from: https://ar2018. trcont.com/download/full-reports/ar_ru_annual-report_pages.pdf [Accessed: December 15, 2019] (in Russian).
  • 31. United Nations Economic Commission for Europe (2018) Railway role in intermodality and the digitalization of transport documents. Geneva.
  • 32. Vis, I. (2006) Survey of research in the design and control of automated guided vehicle systems. European Journal of Operational Research 170, pp. 677–709.
  • 33. Yang, Y., Zhong, M. & Dessouky, Y. (2018) An Integrated Scheduling Method for AGV Routing in Automated Container Terminals. Computers & Industrial Engineering 126, pp. 482–493.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-986ed8e3-c5df-45f7-b672-002225214e8c
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