Framework of synchromodal transportation problems

conference paper
2017
Juncker, M.A.M. de

Huizing, D.

Vecchyo, M.R.O. del

Phillipson, F.

Sangers, A.
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.
Topics
Computation modelsLogisticsArtificial intelligenceClassification (of information)Computer scienceProblem instancesProblem statementRule of thumbSolution methodologySynchromodalTransportation problems
TNO Identifier
782385
Repository link
https://resolver.tno.nl/uuid:65f17b79-b10f-47df-a8f1-e7cfb9633545
ISSN
03029743
ISBN
9783319684956
Publisher
Springer
Source title
8th International Conference on Computational Logistics, ICCL 2017, 18-20 October 2017, Stockholm, Sweden
Editor(s)
Vob, S.
Bektas, T.
Coniglio, S.
Martinez-Sykora, A.
Collation
21 p.
Pages
383-403
Files
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