Multimodal movement planning: logistics network and analysis of transportation alternatives. study case

  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract

    One of the most relevant problems in transport engineering is the planning of multimodal movements where it is necessary to define the logistics network. To analyze the logistics of a foreign trade operator in Colombia, a mathematical model has been designed for the choice of ports, considering multimodal transport and the state of the art. Initially, a multimodal network was built considering modes of maritime, river, rail and road transport, taking advantage of the main river of Colombia (Magdalena river) and the railway infrastructure. Port operating costs, transshipment, port fees, sea freight, operational and variable costs were included in the analysis. It was found that the most suitable ports in Colombia for export are Cartagena and Buenaventura, with the current infrastructure and demand. It has been found that multimodal arcs are more used than those with a single mode, in addition to exports to Ecuador being made by Buenaventura, while to America and Europe is Cartagena. Additionally, there is sensitivity in the choice of ports concerning the level of prices of road transport since in the Colombian context it is vital to change transfers due to the lack of connectivity between modes such as rail and river.




  • Keywords

    Logistics; Multimodal Network; Port Choice; Transport Alternatives

  • References

      [1] G. Liotta, G. Stecca y T. Kaihara, «Optimization of freight flows and sourcing in sustainable production and transportation networks, » Int. J. Production Economics, pp. 351-365, 2015.

      [2] Ministerio de transporte, «Transporte en cifras. Estadisticas 2014.» Bogotá, 2014. Available online:

      [3] Colprensa, «Los retos del Gobierno en transporte multimodal» 2013. Available online:

      [4] T. Liansheng y H. Jiazhen, «Multimodal Transport Distribution Network Design with Time Window, » Management and Service Science. pp. 1-4, 2011.

      [5] T. Zeng, D. Hu y G. Huang, «The Transportation Mode Distribution of Multimodal Transportation in Automotive Logistics, » Social and Behavioral Sciences, pp. 405-417, 2013.

      [6] Y. Kazemi y J. Szmerekovsky, «Modeling downstream petroleum supply chain: The importance of multi-mode transportation to strategic planning, » Transportation Research, pp. 111-125, 2015.

      [7] P. Sitek y J. Wikarek, «Cost optimization of supply chain with multimodal transport » Computer Science and Information Systems, p. 1111–1118, 2012.

      [8] SICETAC, «Sistema de información de costos eficientes para el transporte automotor de carga,» 2016. [Online]. Available:

      [9] Ministerio de transporte, «INVIAS» 2016. Available online:

      [10] Ministerio de transporte, «Resolución 00289 de 2012» Bogota, Colombia. 2012.

      [11] PROCOLOMBIA, «PROCOLOMBIA Exportaciones y turismo,» 2016. Available online:

      [12] Ministerio de transporte, «Diagnostico del transporte,» 2011. Available online:

      [13] PROCOLOMBIA, «Rutas y tarifas del transporte,» 2015. Available online:

      [14] J. Gutierrez, «Infraestructura Territorial, Economía y Negocios Internacionales en Colombia» 2009. Available online:

      [15] DANE, «Indice de costos del transporte de carga por carretera ICTC» 2016. Available online:




Article ID: 29975
DOI: 10.14419/ijet.v8i4.29975

Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.