Abstract
We introduce a decision support tool for liner shipping companies to optimally determine the sailing speed and needed fleet for a global network. We incorporate cargo routing decisions with tight transit time restrictions on each container such that we get a realistic picture of the utilization of the network. Furthermore, we show that it is possible to extend the model to include optimal time scheduling decisions such that the time associated with transshipments is also reflected accurately. To solve the speed optimization problem, we propose an exact algorithm based on Benders decomposition and column generation that exploits the separability of the problem. Computational results show that the method is applicable to liner shipping networks of realistic size and that it is important to incorporate cargo routing decisions when optimizing speed.
Original language | English |
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Journal | Transportation Science |
Volume | 52 |
Issue number | 4 |
Pages (from-to) | 739-1034 |
ISSN | 0041-1655 |
DOIs | |
Publication status | Published - 2018 |
Keywords
- Large-scale optimization
- Network optimization
- Container shipping