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Solving the Robust Container Pre-Marshalling Problem

  • Kevin TierneyEmail author
  • Stefan Voß
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9855)

Abstract

Container terminals across the world sort the containers in the stacks in their yard in a process called pre-marshalling to ensure their efficient retrieval for onward transport. The container pre-marshalling problem (CPMP) has mainly been considered from a deterministic perspective, with containers being assigned an exact exit time from the yard. However, exact exit times are rarely known, and most containers can at best be assigned a time interval in which they are expected to leave. We propose a method for solving the robust CPMP (RCPMP) to optimality that computes a relaxation of the robust problem and leverages this within a solution procedure for the deterministic CPMP. Our method outperforms the state-of-the-art approach on a dataset of 900 RCPMP instances, finding solutions in many cases in under a second.

Keywords

Objective Function Constraint Programming Exit Time Container Terminal Constraint Programming Model 
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.

Notes

Acknowledgements

We thank the Paderborn Center for Parallel Computing (PC\(^2\)) for the use of their high-throughput cluster. We also thank the anonymous referees for their valuable comments.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Decision Support and Operations Research LabUniversity of PaderbornPaderbornGermany
  2. 2.Institute of Information SystemsUniversity of HamburgHamburgGermany

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