Skip to main content
SpringerLink
Log in

Alternative Performance Indicators for Optimizing Container Assignment in a Synchromodal Transportation Network

  • Conference paper
  • First Online:
Computational Logistics (ICCL 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11184))

Included in the following conference series:

Abstract

Several different attributes are deemed important in the con-tainer-to-mode assignment on a synchromodal transportation network. This paper proposes a way to quantify several of this different attributes: Robustness, Flexibility and Customer Satisfaction. These attributes are used as alternative objectives when optimizing the container assignment in a Synchromodal Transportation Network, modelling it as a Minimum Cost Multi-Commodity Flow on a Space-Time Network.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Ahluwalia, P.K., Nema, A.K.: Multi-objective reverse logistics model for integrated computer waste management. Waste Manage. Res. 24(6), 514–527 (2006)

    Article  Google Scholar 

  2. Andersen, J., Crainic, T., Christiansen, M.: Service network design with asset management: Formulations and comparative analyses. Transp. Res. Part C Emerg. Technol. 17(2), 197–207 (2009)

    Article  Google Scholar 

  3. Baykasoğlu, A., Subulan, K.: A multi-objective sustainable load planning model for intermodal transportation networks with a real-life application. Transp. Res. Part E Logistics Transp. Rev. 95, 207–247 (2016)

    Article  Google Scholar 

  4. Beuthe, M., Bouffioux, C.: Analysing qualitative attributes of freight transport from stated orders of preference experiment. J. Transp. Econ. Policy (JTEP) 42(1), 105–128 (2008)

    Google Scholar 

  5. Caplice, C., Jauffred, F.: Balancing robustness and flexibility in transportation networks (2014). http://ctl.mit.edu/sites/ctl.mit.edu/files/caplice-SCB-MarApr2014.pdf

  6. Caramia, M., Dell’Olmo, P.: Multi-objective Management in Freight Logistics. Increasing Capacity, Service Level and Safety with Optimization Algorithms. Springer, London (2008). https://doi.org/10.1007/978-1-84800-382-8

    Book  MATH  Google Scholar 

  7. Crainic, T.: Service network design in freight transportation. Eur. J. Oper. Res. 122(2), 272–288 (2000)

    Article  Google Scholar 

  8. Govindan, K., Paam, P., Abtahi, A.R.: A fuzzy multi-objective optimization model for sustainable reverse logistics network design. Ecol. Ind. 67, 753–768 (2016)

    Article  Google Scholar 

  9. Husdal, J.: A conceptual framework for risk and vulnerability in virtual enterprise networks. In: Managing Risk in Virtual Enterprise Networks: Implementing Supply Chain Principles, p. 1 (2010)

    Google Scholar 

  10. Ishfaq, R., Sox, C.R.: Intermodal logistics: the interplay of financial, operational and service issues. Transp. Res. Part E Logistics Transp. Rev. 46(6), 926–949 (2010)

    Article  Google Scholar 

  11. Miller-Hooks, E., Zhang, X., Faturechi, R.: Measuring and maximizing resilience of freight transportation networks. Comput. Oper. Res. 39(7), 1633–1643 (2012)

    Article  MathSciNet  Google Scholar 

  12. Ramezani, M., Bashiri, M., Tavakkoli-Moghaddam, R.: A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level. Appl. Math. Model. 37(1), 328–344 (2013)

    Article  MathSciNet  Google Scholar 

  13. Riessen, B.v., Negenborn, R., Dekker, R.: Synchromodal container transportation: an overview of current topics and research opportunities. In: Computational Logistics (2015)

    Google Scholar 

  14. SteadieSeifi, M., Dellaert, N.P., Nuijten, W., Van Woensel, T., Raoufi, R.: Multimodal freight transportation planning: a literature review. Eur. J. Oper. Res. 233(1), 1–15 (2014)

    Article  Google Scholar 

  15. Tuzkaya, G., Kilic, H.S., Aglan, C.: A multi-objective supplier selection and order allocation model for green supply chains. J. Mil. Inf. Sci. 4(3), 87–96 (2016)

    Google Scholar 

  16. Xifeng, T., Ji, Z., Peng, X.: A multi-objective optimization model for sustainable logistics facility location. Transp. Res. Part D Transp. Environ. 22, 45–48 (2013)

    Article  Google Scholar 

Download references

Acknowledgement

This work has been carried out within the project ‘Complexity Methods for Predictive Synchromodality’ (Comet-PS), supported by NWO (the Netherlands Organisation for Scientific Research), TKI-Dinalog (Top Consortium Knowledge and Innovation) and the Early Research Program ‘Grip on Complexity’ of TNO (The Netherlands Organisation for Applied Scientific Research).

Author information

Authors and Affiliations

  1. TNO, PO Box 96800, 2509 JE, The Hague, The Netherlands

    M. R. Ortega del Vecchyo, F. Phillipson & A. Sangers

  2. Delft University of Technology, Delft, The Netherlands

    M. R. Ortega del Vecchyo

Authors
  1. M. R. Ortega del Vecchyo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. F. Phillipson
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A. Sangers
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to F. Phillipson .

Editor information

Editors and Affiliations

  1. University of Salerno, Fisciano, Italy

    Raffaele Cerulli

  2. University of Salerno, Fisciano, Italy

    Andrea Raiconi

  3. Institute of Information Systems, University of Hamburg, Hamburg, Germany

    Stefan Voß

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ortega del Vecchyo, M.R., Phillipson, F., Sangers, A. (2018). Alternative Performance Indicators for Optimizing Container Assignment in a Synchromodal Transportation Network. In: Cerulli, R., Raiconi, A., Voß, S. (eds) Computational Logistics. ICCL 2018. Lecture Notes in Computer Science(), vol 11184. Springer, Cham. https://doi.org/10.1007/978-3-030-00898-7_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00898-7_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00897-0

  • Online ISBN: 978-3-030-00898-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation