Title
Framework of synchromodal transportation problems
Author
de Juncker, M.A.M.
Huizing, D.
del Vecchyo, M.R.O.
Phillipson, F.
Sangers, A.
Contributor
Vob, S. (editor)
Bektas, T. (editor)
Coniglio, S. (editor)
Martinez-Sykora, A. (editor)
Publication year
2017
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.
Subject
2016 ICT
CSR - Cyber Security & Robustness
TS - Technical Sciences
Computation models
Logistics
Artificial intelligence
Classification (of information)
Computer science
Problem instances
Problem statement
Rule of thumb
Solution methodology
Synchromodal
Transportation problems
To reference this document use:
http://resolver.tudelft.nl/uuid:65f17b79-b10f-47df-a8f1-e7cfb9633545
TNO identifier
782385
Publisher
Springer
ISBN
9783319684956
ISSN
0302-9743
Source
8th International Conference on Computational Logistics, ICCL 2017, 18-20 October 2017, Stockholm, Sweden, 10572 LNCS, 383-403
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Document type
conference paper