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Framework of Synchromodal Transportation Problems

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Computational Logistics (ICCL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10572))

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Abstract

Problem statements and solution methods in mathematical synchromodal transportation problems depend greatly on a set of model choices for which no rule of thumb exists. In this paper, a framework is introduced with which the model choices in synchromodal transportation problems can be classified, based on literature. This framework should help researchers and developers to find solution methodologies that are commonly used in their problem instance and to grasp characteristics of the models and cases in a compact way, enabling easy classification, comparison and insight in complexity. It is shown that this classification can help steer a modeller towards appropriate solution methods.

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Author information

Authors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    M. A. M. De Juncker

  2. Delft University of Technology, Delft, The Netherlands

    D. Huizing & M. R. Ortega del Vecchyo

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

    M. A. M. De Juncker, D. Huizing, M. R. Ortega del Vecchyo, F. Phillipson & A. Sangers

Authors
  1. M. A. M. De Juncker
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  2. D. Huizing
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  3. M. R. Ortega del Vecchyo
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  4. F. Phillipson
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  5. A. Sangers
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Corresponding author

Correspondence to F. Phillipson .

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Editors and Affiliations

  1. University of Southampton , Southampton, United Kingdom

    Tolga BektaÅŸ

  2. University of Southampton , Southampton, United Kingdom

    Stefano Coniglio

  3. University of Southampton , Southampton, United Kingdom

    Antonio Martinez-Sykora

  4. University of Hamburg , Hamburg, Germany

    Stefan Voß

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De Juncker, M.A.M., Huizing, D., del Vecchyo, M.R.O., Phillipson, F., Sangers, A. (2017). Framework of Synchromodal Transportation Problems. In: Bektaş, T., Coniglio, S., Martinez-Sykora, A., Voß, S. (eds) Computational Logistics. ICCL 2017. Lecture Notes in Computer Science(), vol 10572. Springer, Cham. https://doi.org/10.1007/978-3-319-68496-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-68496-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68495-6

  • Online ISBN: 978-3-319-68496-3

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