Skip to main content

A VRP Model to Support Last Mile Maritime Containers

  • Conference paper
  • First Online:
Innovations in Industrial Engineering (icieng 2021)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Included in the following conference series:

  • 1260 Accesses

Abstract

Due to the constant and hasty development of the process of economic globalization, the transport network has become increasingly complex. This causes significative changes in the manner of cargo transport, which leads to satisfy the costumer’s needs first and only then try to achieve an effective and efficient low-cost distribution. The decision support system developed allows to allocate the closest truck, with capacity, and give the respective quotes automatically, based on predefined criteria and optimization. The result will have a high impact on the parties’ performance: better management of infrastructures used, on the footprint, time of service, customer’ level service, reduction of empty kilometres, less cost and reduction of the receipt period.

This investigation has the main goal of developing an online Inland Container Transport (ICT) Decision Support System (DSS). Maritime container distribution and collecting processes is a routing problem, in regions which are oriented to container seaports or inland terminals. Therefore, the problem to be investigated is closely related to the vehicle routing problem with backhauls (VRPB) that finds an optimal set of orders (or routes) with deliveries (linehauls) and pickups (backhauls).

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Crainic, T.G., Kim, K.H.: Intermodal transportation. In: Handbooks in Operations Research and Management Science, vol. 14, pp. 467–537 (2007)

    Google Scholar 

  2. Bontekoning, Y., Macharis, C., Trip, J.: Is a new applied transportation research field emerging? A review of intermodal rail–truck freight transport literature. Transp. Res. Part A Policy Pract. 38(1), 1–34 (2004)

    Article  Google Scholar 

  3. Riessen, B., Negenborn, R.R., Dekker, R.: Real-time container transport planning with decision trees based on offline obtained optimal solutions. Decis. Support Syst. 89, 1–16 (2016)

    Article  Google Scholar 

  4. Pereira, T., Rocha, J., Telhada, J., Carvalho, M.S.: Characterization of the Portuguese SSS into the Europe: a contribution. In: Corman, F., Voß, S., Negenborn, R.R. (eds.) ICCL 2015. LNCS, vol. 9335, pp. 252–266. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24264-4_18

    Chapter  Google Scholar 

  5. Wang, W.F., Yun, W.Y.: Scheduling for inland container truck and train transportation. Int. J. Prod. Econ. 143(2), 349–356 (2013)

    Article  Google Scholar 

  6. Funke, J., Kopfer, H.: A model for a multi-size inland container transportation problem. Transp. Res. Part E Logist. Transp. Rev. 89, 70–85 (2016)

    Article  Google Scholar 

  7. Macharis, C., Bontekoning, Y.: Opportunities for OR in intermodal freight transport research: a review. Eur. J. Oper. Res. 153(2), 400–416 (2004)

    Article  Google Scholar 

  8. Notteboom, T.E., Rodrigue, J.P.: Port regionalization: towards a new phase in port development. Marit. Policy Manag. 32(3), 297–313 (2005)

    Article  Google Scholar 

  9. Phan, M.H., Kim, K.H.: Negotiating truck arrival times among trucking companies and a container terminal. Transp. Res. Part E Logist. Transp. Rev. 75, 132–144 (2015)

    Article  Google Scholar 

  10. Zehendner, E., Feillet, D.: Benefits of a truck appointment system on the service quality of inland transport modes at a multimodal container terminal. Eur. J. Oper. Res. 235(2), 461–469 (2014)

    Article  MathSciNet  Google Scholar 

  11. Androutsopoulos, K.N., Zografos, K.G.: Solving the multi-criteria time-dependent routing and scheduling problem in a multimodal fixed scheduled network. Eur. J. Oper. Res. 192(1), 18–28 (2009)

    Article  MathSciNet  Google Scholar 

  12. Zhang, R., Yun, W.Y., Kopfer, H.: Heuristic-based truck scheduling for inland container transportation. OR Spectr. 32(3), 787–808 (2010). https://doi.org/10.1007/s00291-010-0193-4

    Article  MATH  Google Scholar 

  13. Vidović, M., Radivojević, G., Raković, B.: Vehicle routing in containers pickup up and delivery processes. Procedia Soc. Behav. Sci. 20, 335–343 (2011)

    Article  Google Scholar 

  14. Wang, S., Liu, Z., Meng, Q.: Segment-based alteration for container liner shipping network design. Transp. Res. Part B Methodol. 72, 128–145 (2015)

    Article  Google Scholar 

  15. Dantzig, G.B., Ramser, J.H.: The truck dispatching problem. Manag. Sci. 6(1), 80–91 (1959)

    Article  MathSciNet  Google Scholar 

  16. Monekosso, N., Remagnino, P.: The analysis and performance evaluation of the pheromone-Q-learning algorithm. Expert Syst. 21(2), 80–91 (2004)

    Article  Google Scholar 

  17. Santos, A.S., Madureira, A.M., Varela, M.L.R.: Study on the impact of the NS in the performance of meta-heuristics in the TSP. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), Budapest, Hungary, pp. 1110–1115 (2016)

    Google Scholar 

  18. Soysal, M., Çimen, M.: A simulation based restricted dynamic programming approach for the green time dependent vehicle routing problem. Comput. Oper. Res. 88, 297–305 (2017)

    Article  MathSciNet  Google Scholar 

  19. Pillac, V., Gendreau, M., Guéret, C., Medaglia, A.L.: A review of dynamic vehicle routing problems. Eur. J. Oper. Res. 225(1), 1–11 (2013)

    Article  MathSciNet  Google Scholar 

  20. Lin, C., Choy, K.L., Ho, G.T.S., Chung, S.H., Lam, H.Y.: survey of green vehicle routing problem: past and future trends. Expert Syst. Appl. 41(4), 1118–1138 (2014)

    Article  Google Scholar 

  21. Eksioglu, B., Vural, A.V., Reisman, A.: The vehicle routing problem: a taxonomic review. Comput. Ind. Eng. 57(4), 1472–1483 (2009)

    Article  Google Scholar 

  22. Laporte, G.: The vehicle routing problem: an overview of exact and approximate algorithms. Eur. J. Oper. Res. 59(3), 345–358 (1992)

    Article  MathSciNet  Google Scholar 

  23. Lin, C., Choy, K.L., Ho, G.T.S., Lam, H.Y., Pang, G.K.H., Chin, K.S.: A decision support system for optimizing dynamic courier routing operations. Expert Syst. Appl. 41(15), 6917–6933 (2014)

    Article  Google Scholar 

  24. Çimen, M., Soysal, M.: Time-dependent green vehicle routing problem with stochastic vehicle speeds: an approximate dynamic programming algorithm. Transp. Res. Part D Transp. Environ. 54, 82–98 (2017)

    Article  Google Scholar 

  25. Gendreau, M., Guertin, M., Potvin, J.Y., Séguin, R.: Neighborhood search heuristics for a dynamic vehicle dispatching problem with pick-ups and deliveries. Transp. Res. Part C Emerg. Technol. 14(3), 157–174 (2006)

    Article  Google Scholar 

Download references

Acknowledgments

Fernanda A. Ferreira acknowledges the financial support of UNIAG, R&D unit funded by the FCT - Portuguese Foundation for the Development of Science and Technology, Ministry of Science, Technology and Higher Education, under the Project UIDB/04752/2020.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Teresa Pereira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pereira, M.T., Ferreirinha, L., Ferreira, F.A., Oliveira, M. (2022). A VRP Model to Support Last Mile Maritime Containers. In: Machado, J., Soares, F., Trojanowska, J., Ivanov, V. (eds) Innovations in Industrial Engineering. icieng 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-78170-5_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-78170-5_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78169-9

  • Online ISBN: 978-3-030-78170-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics