Abstract
In intermodal freight transportation, train load planners are confronted with complex practical considerations during the booking and planning process. In order to optimally utilize the available loading space, train capacity is monitored in terms of available length and weight while accounting for the urgency with which load units must be sent. Furthermore, the execution of the load plan by the terminal operator must be performed efficiently to minimize total handling costs. In this paper, a static model with multiple objectives is developed to introduce a number of practical constraints from the viewpoint of the network operator. Numerical experiments are performed using an exact \(\varepsilon \)-constraint method as well as a multi-directional local search heuristic. It is shown that the multi-objective approach provides train load planners with a set of train load plans, for which the trade-offs between the different objectives can be analyzed. Given this information, the most suitable plan can be determined based on the real-time operational environment.
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Acknowledgements
This work is supported by the Interuniversity Attraction Poles Programme initiated by the Belgian Science Policy Office (research project COMEX, Combinatorial Optimization: Metaheuristics and Exact Methods). The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation - Flanders (FWO) and the Flemish Government Department EWI.
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Heggen, H., Braekers, K. & Caris, A. A multi-objective approach for intermodal train load planning. OR Spectrum 40, 341–366 (2018). https://doi.org/10.1007/s00291-017-0503-1
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DOI: https://doi.org/10.1007/s00291-017-0503-1