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An Efficient Approach For The Three-Dimensional Container Packing Problem With Practical Constraints

Author

Listed:
  • ZHIHONG JIN

    (Dalian Maritime University, 1 Linghai Road, Dalian 116026, China)

  • KATSUHISA OHNO

    (Nagoya Institute of Technology, Gokiso-cho, Nagoya 466855, Japan)

  • JIALI DU

    (Dalian Maritime University, 1 Linghai Road, Dalian 116026, China)

Abstract

This paper deals with the three-dimensional container packing problem (3DCPP), which is to pack a number of items orthogonally onto a rectangular container so that the utilization rate of the container space or the total value of loaded items is maximized. Besides the above objectives, some other practical constraints, such as loading stability, the rotation of items around the height axis, and the fixed loading (unloading) orders, must be considered for the real-life 3DCPP. In this paper, a sub-volume based simulated annealing meta-heuristic algorithm is proposed, which aims at generating flexible and efficient packing patterns and providing a high degree of inherent stability at the same time. Computational experiments on benchmark problems show its efficiency.

Suggested Citation

  • Zhihong Jin & Katsuhisa Ohno & Jiali Du, 2004. "An Efficient Approach For The Three-Dimensional Container Packing Problem With Practical Constraints," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 279-295.
    • Handle: RePEc:wsi:apjorx:v:21:y:2004:i:03:n:s0217595904000254
    DOI: 10.1142/S0217595904000254
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    Citations

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    Cited by:

    1. Leonardo Junqueira & Reinaldo Morabito & Denise Sato Yamashita, 2012. "MIP-based approaches for the container loading problem with multi-drop constraints," Annals of Operations Research, Springer, vol. 199(1), pages 51-75, October.
    2. 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.
    3. 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.
    4. 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.
    5. Alonso, M.T. & Alvarez-Valdes, R. & Iori, M. & Parreño, F. & Tamarit, J.M., 2017. "Mathematical models for multicontainer loading problems," Omega, Elsevier, vol. 66(PA), pages 106-117.
    6. Wang, Zhoujing & Li, Kevin W. & Levy, Jason K., 2008. "A heuristic for the container loading problem: A tertiary-tree-based dynamic space decomposition approach," European Journal of Operational Research, Elsevier, vol. 191(1), pages 86-99, November.
    7. Ren, Jidong & Tian, Yajie & Sawaragi, Tetsuo, 2011. "A tree search method for the container loading problem with shipment priority," European Journal of Operational Research, Elsevier, vol. 214(3), pages 526-535, November.

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