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A multi-objective approach for intermodal train load planning

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Listed:
  • Hilde Heggen

    (Research Group Logistics
    Department of Quantitative Economics)

  • Kris Braekers

    (Research Group Logistics)

  • An Caris

    (Research Group Logistics)

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 $$\varepsilon $$ ε -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.

Suggested Citation

  • Hilde Heggen & Kris Braekers & An Caris, 2018. "A multi-objective approach for intermodal train load planning," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(2), pages 341-366, March.
    • Handle: RePEc:spr:orspec:v:40:y:2018:i:2:d:10.1007_s00291-017-0503-1
    DOI: 10.1007/s00291-017-0503-1
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    References listed on IDEAS

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    Cited by:

    1. Basallo-Triana, Mario José & Bravo-Bastidas, Juan José & Vidal-Holguín, Carlos Julio, 2022. "A rail-road transshipment yard picture," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    2. Majid Eskandarpour & Pierre Dejax & Olivier Péton, 2019. "Multi-Directional Local Search for Sustainable Supply Chain Network Design," Post-Print hal-02407741, HAL.
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    4. Hilde Heggen & Yves Molenbruch & An Caris & Kris Braekers, 2019. "Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions," Sustainability, MDPI, vol. 11(6), pages 1-36, March.

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