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A caving degree approach for the single container loading problem

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  • Huang, Wenqi
  • He, Kun

Abstract

Inspired by an old adage "Gold corner, silver side and strawy void", and improved by a new observation "Maximum value in diamond cave", a new heuristic approach is proposed for solving the three-dimensional single container loading problem. Differing from several previous approaches, its key issue is to pack the outside item into a corner or even a cave in the container such that the item is as compactly and closely as possible with other packed items. Experiments are on two groups of public and difficult benchmarks. For the 47 without-orientation-constraint instances from the OR-Library, experiments indicate an average packing utilization of 94.9%, which improves current best result reported in the literature by 3.9%. For the 800 strongly heterogeneous instances among 1500 representative benchmarks proposed by Bischoff et al., (100 instances in a set), experiments show an average packing utilization of 87.97%, which improves current best record reported in the literature by 0.28%. Besides, new best records are achieved on the latter five sets among the eight sets of strongly heterogeneous benchmarks.

Suggested Citation

  • Huang, Wenqi & He, Kun, 2009. "A caving degree approach for the single container loading problem," European Journal of Operational Research, Elsevier, vol. 196(1), pages 93-101, July.
  • Handle: RePEc:eee:ejores:v:196:y:2009:i:1:p:93-101
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    References listed on IDEAS

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    Cited by:

    1. 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.
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    3. Carlos A. Vega-Mejía & Jairo R. Montoya-Torres & Sardar M. N. Islam, 2019. "Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: a systematic literature review," Annals of Operations Research, Springer, vol. 273(1), pages 311-375, February.
    4. Bortfeldt, Andreas & Wäscher, Gerhard, 2013. "Constraints in container loading – A state-of-the-art review," European Journal of Operational Research, Elsevier, vol. 229(1), pages 1-20.
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    6. Tian, Tian & Zhu, Wenbin & Lim, Andrew & Wei, Lijun, 2016. "The multiple container loading problem with preference," European Journal of Operational Research, Elsevier, vol. 248(1), pages 84-94.
    7. 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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