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A multi-round partial beam search approach for the single container loading problem with shipment priority

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  • Wang, Ning
  • Lim, Andrew
  • Zhu, Wenbin

Abstract

We consider shipping priority in the single container loading problem, where all boxes with high priority must be loaded into the container before those with low priority. Shipping priority is a very common consideration in real applications, but it has received very little attention from the research community. We propose a multi-round partial beam search method that explicitly considers shipping priority when evaluating the potential of partial solutions to solve this problem. Experiments on existing benchmarks suggest that our approach is more effective than current methods. The average utilization is improved by almost 1% while the running time is shorter than the state of the art method. Since existing benchmark data covers only weakly heterogeneous instances, we extend the benchmark data to strongly heterogeneous instances and also generate instances with various proportions of high priority boxes to cover a wider spectrum of applications.

Suggested Citation

  • Wang, Ning & Lim, Andrew & Zhu, Wenbin, 2013. "A multi-round partial beam search approach for the single container loading problem with shipment priority," International Journal of Production Economics, Elsevier, vol. 145(2), pages 531-540.
  • Handle: RePEc:eee:proeco:v:145:y:2013:i:2:p:531-540
    DOI: 10.1016/j.ijpe.2013.04.028
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    References listed on IDEAS

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    1. Zhu, Wenbin & Lim, Andrew, 2012. "A new iterative-doubling Greedy–Lookahead algorithm for the single container loading problem," European Journal of Operational Research, Elsevier, vol. 222(3), pages 408-417.
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    9. Tobias Fanslau & Andreas Bortfeldt, 2010. "A Tree Search Algorithm for Solving the Container Loading Problem," INFORMS Journal on Computing, INFORMS, vol. 22(2), pages 222-235, May.
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    Cited by:

    1. Wei, Lijun & Zhu, Wenbin & Lim, Andrew, 2015. "A goal-driven prototype column generation strategy for the multiple container loading cost minimization problem," European Journal of Operational Research, Elsevier, vol. 241(1), pages 39-49.
    2. Araya, Ignacio & Moyano, Mauricio & Sanchez, Cristobal, 2020. "A beam search algorithm for the biobjective container loading problem," European Journal of Operational Research, Elsevier, vol. 286(2), pages 417-431.
    3. I. Gimenez-Palacios & M. T. Alonso & R. Alvarez-Valdes & F. Parreño, 2021. "Logistic constraints in container loading problems: the impact of complete shipment conditions," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(1), pages 177-203, April.
    4. Sheng, Liu & Hongxia, Zhao & Xisong, Dong & Changjian, Cheng, 2016. "A heuristic algorithm for container loading of pallets with infill boxes," European Journal of Operational Research, Elsevier, vol. 252(3), pages 728-736.

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