Skip to main content

Solving an Urban Goods Distribution Problem as the 2E-CVRP Model Using a MILP-based Decomposition Approach

  • Conference paper
  • First Online:
Applied Computer Sciences in Engineering (WEA 2020)

Abstract

Distribution of goods in urban areas are complex logistics problems. To avoid the negative impacts of trucks within cities, Urban Distribution Centers (UDC) located at the periphery allows goods delivery by smaller vehicles. The problem can be modeled as a two-echelon vehicle routing problem. Since the problem is known to be NP-hard, metaheuristics have mainly been proposed in the literature. In this paper instead a solution approach based on mathematical programming is proposed. Experiments are carried out using real data from the distribution network of a convenience store company in Bogota, Colombia. Results show the impact of analyzing different network structures.

Work supported by Universidad de La Sabana under a master by research scholarship awarded to the first author, and by grant INGPHD-10-2019.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alcaldía Mayor de Bogotá. Programa de gestión de la velocidad para Bogotá - Documento base (2019). Alcaldí de Bogotá, Colombia

    Google Scholar 

  2. Antun, J.P.: Distribución Urbana de Mercancías: Estrategias con Centros Logísticos. Nota técnica IDB-TN-167, Banco Interamericano de Desarrollo (2013)

    Google Scholar 

  3. Baldacci, R., Mingozzi, A., Roberti, R., Wolfler Calvo, R.: An exact algorithm for the two-echelon capacitated vehicle routing problem. Oper. Res. 2, 298–314 (2013)

    Article  MathSciNet  Google Scholar 

  4. Belgin, O., Karaoglan, I., Altiparmak, F.: Two-echelon vehicle routing problem with simultaneous pickup and delivery: mathematical model and heuristic approach. Comput. Ind. Eng. 115, 1–16 (2017)

    Article  Google Scholar 

  5. Benjelloun, A., Crainic, T.G., Bigras, Y.: Towards a taxonomy of City Logistics projects. Procedia Soc. Behav. Sci. 2(3), 6217–6228 (2010)

    Article  Google Scholar 

  6. Browne, M., Sweet, M., Woodburn, A., Allen, J.: Urban Freight Consolidation Centres: Final Report. Transport Studies Group, University of Westminster (2005)

    Google Scholar 

  7. Chopra, S., Meindl, P.: Supply Chain Management: Strategy, Planning, and Operation. Prentice Hall, Upper Saddle River (2009)

    Google Scholar 

  8. Crainic, T.G., Mancini, S., Perboli, G., Tadei, R.: Clustering-based heuristics for the two-echelon vehicle routing problem. Technical report CIRRELT-2008-46 (2008)

    Google Scholar 

  9. Crainic, T.G., Ricciardi, N., Storchi, G.: Models for evaluating and planning city logistics systems. Transp. Sci. 43, 432–54 (2009)

    Article  Google Scholar 

  10. Crainic, T.G., Mancini, S., Perboli, G., Tadei, R.: Multi-start heuristics for the two-echelon vehicle routing problem. In: Merz, P., Hao, J.-K. (eds.) EvoCOP 2011. LNCS, vol. 6622, pp. 179–190. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20364-0_16

    Chapter  Google Scholar 

  11. Crainic, T.G., Mancini, S., Perboli, G., Tadei, R.: GRASP with path relinking for the two-echelon vehicle routing problem. In: Di Gaspero, L., Schaerf, A., Stutzle, T. (eds.) Advances in Metaheuristics. Operations Research/Computer Science Interfaces Series, vol. 53, pp. 113–25. Springer, Heidelberg (2013). https://doi.org/10.1007/978-1-4614-6322-1_7

    Chapter  Google Scholar 

  12. Cuda, R., Guastaroba, G., Speranza, M.G.: A survey on two-echelon routing problems. Comput. Oper. Res. 55, 185–199 (2015)

    Article  MathSciNet  Google Scholar 

  13. Dellaert, N., Dashty, F., Van Woensel, T., Crainic, T.G.: Branch & price based algorithms for the two-echelon vehicle routing problem with time windows. Transp. Sci. 53(2), 463–479 (2016)

    Article  Google Scholar 

  14. Departamento Administrativo Nacional de Estadistica. ‘Cuantos somos’ Censo Nacional de Colombia (2018). https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion/censo-nacional-de-poblacion-y-vivenda-2018/cuantos-somos. Accessed 1 April 2020

  15. Gonzalez-Feliu, J.: Two-echelon freight transport optimization: unifying concepts via a systematic review. Working Papers on Operations Management, vol. 2, pp. 18–30 (2011)

    Google Scholar 

  16. Gonzalez-Feliu, J., Perboli, G., Tadei, R., Vigo, D.: The two-echelon capacitated vehicle routing problem. Technical report OR/02/08, Politecnico di Torino (2008)

    Google Scholar 

  17. Grangier, P., Gendreau, M., Lehuédé, F., Rousseau, L.M.: An adaptive large neighborhood search for the two-echelon multiple-trip vehicle routing problem with satellite synchronization. Eur. J. Oper. Res. 254(1), 80–91 (2016)

    Article  MathSciNet  Google Scholar 

  18. Guastaroba, G., Speranza, M.G., Vigo, D.: Designing service networks with intermediate facilities: an overview. Technical report, Department of Quantitative Methods, University of Brescia, Italy (2014)

    Google Scholar 

  19. Hemmelmayr, V.C., Cordeau, J.F., Crainic, T.G.: An adaptive large neighborhood search heuristic for two-echelon vehicle routing problems arising in city logistics. Comput. Oper. Res. 39, 3215–3228 (2012)

    Article  MathSciNet  Google Scholar 

  20. Jepsen, M., Ropke, S., Spoorendonk, S.: A branch-and-cut algorithm for the symmetric two-echelon capacitated vehicle routing problem. Transp. Sci. 47, 23–37 (2013)

    Article  Google Scholar 

  21. Mancini, S.: Multi-echelon distribution systems in city logistics. Eur. Transp. - Trasporti Europei 54, 1–24 (2013). Paper 2

    Google Scholar 

  22. Meza-Peralta, K., Gonzalez-Feliu, J., Montoya-Torres, J.R., Khodadad-Saryazdi, A.: A unified typology of Urban Logistics Spaces as interfaces for freight transport - a systematic literature review. Supply Chain Forum Int. J. (to appear)

    Google Scholar 

  23. Muñoz-Villamizar, A., Montoya-Torres, J.R., Vega-Mejía, C.A.: Non-collaborative versus collaborative last-mile delivery in urban systems with stochastic demands. Procedia CIRP 30, 263–268 (2015)

    Article  Google Scholar 

  24. Muñuzuri, J., Larrañeta, J., Onieva, L., Cortés, P.: Solutions applicable by local administrations for urban logistics improvement. Cities 22(1), 15–28 (2005)

    Article  Google Scholar 

  25. Perboli, G., Masoero, F., Tadei, R.: New families of valid inequalities for the two-echelon vehicle routing problem. Electron. Notes Discrete Math. 36, 639–646 (2010)

    Article  Google Scholar 

  26. Perboli, G., Tadei, R., Vigo, D.: The two-echelon capacitated vehicle routing problem: models and math-based heuristics. Transp. Sci. 45(3), 364–380 (2011)

    Article  Google Scholar 

  27. Pirkul, H., Jayaraman, V.: Production, transportation, and distribution planning in a multi-commodity tri-echelon system. Transp. Sci. 30, 291–302 (1996)

    Article  Google Scholar 

  28. Quintero-Araujo, C.L., Juan, A.A., Montoya-Torres, J.R., Muñoz-Villamizar, A.: A simheuristic algorithm for horizontal cooperation in urban distribution: application to a case study in Colombia. In: Proceedings of the 2016 Winter Simulation Conference, pp. 2193–2204 (2016)

    Google Scholar 

  29. Renault Kangoo van vehicle specifications. https://www.renault.com.co/gama/vehiculos-utilitarios/kangoo.html. Accessed 1 April 2020

  30. Russo, F., Comi, A.: A classification of city logistics measures and connected impacts. Procedia Soc. Behav. Sci. 2(3), 6355–6365 (2010)

    Article  Google Scholar 

  31. Savelsbergh, M., Van Woensel, T.: City logistics: challenges and opportunities. Transp. Sci. 50(2), 579–590 (2016)

    Article  Google Scholar 

  32. Yin, R.K.: Case Study Research and Applications: Design and Methods. SAGE Publications Inc., Thousand Oaks (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jairo R. Montoya-Torres .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ramirez-Villamil, A., Montoya-Torres, J.R., Jaegler, A. (2020). Solving an Urban Goods Distribution Problem as the 2E-CVRP Model Using a MILP-based Decomposition Approach. In: Figueroa-García, J.C., Garay-Rairán, F.S., Hernández-Pérez, G.J., Díaz-Gutierrez, Y. (eds) Applied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274. Springer, Cham. https://doi.org/10.1007/978-3-030-61834-6_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-61834-6_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61833-9

  • Online ISBN: 978-3-030-61834-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics