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Generating Optimal Stowage Plans for Container Vessel Bays

  • Alberto Delgado
  • Rune Møller Jensen
  • Christian Schulte
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5732)

Abstract

Millions of containers are stowed every week with goods worth billions of dollars, but container vessel stowage is an all but neglected combinatorial optimization problem. In this paper, we introduce a model for stowing containers in a vessel bay which is the result of probably the longest collaboration to date with a liner shipping company on automated stowage planning. We then show how to solve this model efficiently in - to our knowledge - the first application of CP to stowage planning using state-of-the-art techniques such as extensive use of global constraints, viewpoints, static and dynamic symmetry breaking, decomposed branching strategies, and early failure detection. Our CP approach outperforms an integer programming and column generation approach in a preliminary study. Since a complete model of this problem includes even more logical constraints, we believe that stowage planning is a new application area for CP with a high impact potential.

Keywords

Column Generation Constraint Programming Master Problem Global Constraint Empty Container 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Alberto Delgado
    • 1
  • Rune Møller Jensen
    • 1
  • Christian Schulte
    • 2
  1. 1.IT University of CopenhagenDenmark
  2. 2.KTH - Royal Institute of TechnologySweden

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