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Simulation modelling of Vitória-Minas closed-loop rail network

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Warianty tytułu
PT
Modelagem de simulação do circuito fechado da ferrovia Vitória Á Minas
Języki publikacji
EN
Abstrakty
EN
This paper presents a closed loop simulation model that represents the mining logistics chain of the Vitória Minas Railway (VMR), Brazil. The simulator includes the loading process, circulation of loaded trains, unloading of ores for external and internal markets and the distribution of empty trains for new loads. General cargo and passengers trains are also included in the model, which, along with the queues formed in the circulation and the preventive and corrective maintenance of rolling stock, tracks and equipment, interfere with the transportation of iron ore. The primary objective of the iron ore transport is to meet the daily loading and unloading schedules and minimize queues by maximizing the operations at the loading and unloading points. The VMR simulator developed uses macro-mesoscopic approach with Monte Carlo simulation. To validate the simulator, we used actual data of the railway and compared with reality. We obtained a very good adhesion to the value of 2.9% for the validation scenario (Scenario 1) and 3.4% for the scenario with reducing the number of lots of wagons (Scenario 2). We concluded with this simulation that it is possible to reduce the number of GDE wagons without reducing the current level of productivity of the rail system.
PT
Este artigo apresenta o modelo de simulação do circuito fechado da rede logística de minério de ferro da ferrovia Vitória Á Minas (VMR), Brasil. O simulador inclui o processo de carregamento, circulação dos trens carregados, descarregamento para os mercados externos e internos e a distribuição dos trens vazios para novos carregamentos. Os trens de carga geral e de passageiros também foram incluídos no modelo, bem como suas filas de formação e as manutenções preventivas e corretivas do material rodante, que interferem no transporte do minério de ferro. O principal objetivo do transporte de minério de ferro é atender as programações de carregamento e descarregamento e minimizar as filas maximizando as operações nos pontos de carregamento e descarregamento. O simulador VMR desenvolvido utiliza uma abordagem macro-mesoscópica de simulação de Monte Carlo. Para validar o simulador, foi utilizado dados da ferrovia e comparado com a realidade. Obtivemos uma aderência muito de 2,9% para o cenário de validação (cenário 1) e 3,4% para o cenário com a redução do número de lotes de vagão (cenário 2). Concluímos que com esta simulação é possível reduz o número de lotes de vagões GDE sem reduzir a produtividade da ferrovia.
Czasopismo
Rocznik
Strony
125--139
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
  • Federal University of Espirito Santo, Av. Fernando Ferrari, 514 - Goiabeiras, Vitória - ES, 29075-910, Espírito Santo, Brazil
  • Federal University of Espirito Santo, Av. Fernando Ferrari, 514 - Goiabeiras, Vitória - ES, 29075-910, Espírito Santo, Brazil
Bibliografia
  • 1. Abbott, D. & Marinov, M. An Event Based Simulation Model to evaluate the Design of a Rail Interchange Yard, which provides Service to High Speed and Conventional Railways. Simulation Modelling Practice and Theory. 2015. Vol. 52. P. 15-39.
  • 2. Anand, N. & Anayi, M. Improving punctuality of train traffic on western main line of Swedish railway network: simulation approach. Fort Worth: s.n. 2010. ASME Rail Transportation Division Fall Conference.
  • 3. Banks, J. Introduction to Simulation. Atlanta: s.n. 2000. Proceedings of the 2000 Winter Simulation Conference.
  • 4. Bontenkoning, Y. Hub exchange operations in intermodal hub and spoke networks. Delft: Delft University Press. 2006.
  • 5. Breitnecker, F. & Kralicek, P. Planning of Railroad Management by Means of Discrete Simulation. EUROSIM – Simulation News Europe. 1997. Vol. 1. No. 19. P. 32.
  • 6. Cordeau, J. & Toth, P. & Vigo, D. A survey of optimization models for traisn routing and scheduling. Transportation Science. 1990. Vol. 32. No. 4. P. 380-404.
  • 7. Corman, F. & Quaglietta, E. Closing the loop in real-time railway control: Framework design and impact on operations. Transportation Research Part C. 2015. Vol. 54. P. 15-39.
  • 8. Crainic, T. & Laporte, G. Planning models for freight transportation. European Journal of Operational Research. 1997. Vol. 1. No. 97. P. 409-438.
  • 9. Fioroni, M., et al. Estudo Estratégico da Infra-estrutura do PátioFerroviário de Tubarão através de Simulação. Florianópolis: s.n. 2004. Proceedings of the XVIII Anpet, Florianópolis.
  • 10. Fioroni, M., et al. Concurrent simulation and optimization models for mining planning. Miami, FL: s.n. 2008. Proceedings of Winter Simulation Conference.
  • 11. Hooghiemstra, J. & Teunisse, M. The use of Simulation in the Planning of the Dutch Railway Services. Washington DC, EUA.: s.n. Proceedings of the 1998 Winter Simulation Conference. Vol. 1. P. 1139-1145.
  • 12. Krueger, P., et al. Simulation within the railroad environment. Orlando: s.n. 2000. Proceedings of the 2000 Winter Simulation Conference. P. 1191-1200.
  • 13. Lewellen, M. & Tumay, K. Network Simulation of a Major Railroad. Washington: s.n. 1998. Proceedings of the 1998 Winter Simulation Conference. Vol. 1. P. 1135-1138.
  • 14. Marinov, M. & Viegas, J. A mesoscopic simulation modelling methodology for analyzing and evaluating freight train operations in a rail network. Simulation Modelling Practice and Theory. 2009. Vol. 17. No. 6. P. 1106-1129.
  • 15. Meireles, R. Simulation modelling of Vitória-Minas closed-loop Rail Network. Vitória, ES.: UFES. 2010.
  • 16. Middelkoop, D. & Bouwman, M. SIMONE: large Scale Train Network Simulations. Arlington – VA, E.U.A.: s.n. 2011. Proceedings of 2011 Winter Simulation Conference. P. 9-12.
  • 17. Nash, A. & Huerlimann, D. Railroad simulation using OpenTrack. 9th International conference on computer aided design, manufacture and operation in the railway and other advanced transit systems. Dreden. 2004.
  • 18. Pater, J. & Teunisse, J. The use of a template-based methodology in the simulation of a new cargo track from Rotterdam Harbor to Germany. s.l .: ed. Andradbttir, S. & Healy, K.J. & Withers, D.H. & Nelson, B.L. 1997. Proceedings of the 1997 Winter Simulation conference. P. 1176-1180.
  • 19. Sinay, M. & Ferreira Filho, A. & Oliveira, G. Railroad yard logistic to improve capacity. Tel Aviv: s.n. 2008. International Conference on Industrial Logistics.
  • 20. Zhuan, X. & Xia, X. Speed regulation with measured output feedback in the control of heavy haul trains. Automatica. 2008. Vol. 44. P. 6.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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