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On The Three-Dimensional Container Packing Problem Under Home Delivery Service

Author

Listed:
  • WAN-YU LIU

    (Department of Applied Natural Resources, Aletheia University, Tainan 721, Taiwan)

  • CHUN-CHENG LIN

    (Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu 300, Taiwan)

  • CHANG-SUNG YU

    (Department of Business Administration, National Taiwan University, Taipei 106, Taiwan)

Abstract

Home delivery service is one of the most important cost drivers in e-commerce industry. We consider the three-dimensional container packing problem under home delivery service, where each rectangular item with its specific destination is loaded orthogonally onto a rectangular container so that the utilization rate of the container space is maximized. In our framework, we assume the routing of a consignment to be given, which turns out that there is an order of unloading items with respect to the consignment. If we load items without considering the order of unloading items, we may unload and reload other unconcerned items drastically while unloading the required item. Therefore, in this paper, the unloading costs for a consignment are precisely defined according to theinvisible and untouchable rule, and a subvolume scheme based algorithm is proposed. Our experimental results suggest our approach to be promising.

Suggested Citation

  • Wan-Yu Liu & Chun-Cheng Lin & Chang-Sung Yu, 2011. "On The Three-Dimensional Container Packing Problem Under Home Delivery Service," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(05), pages 601-621.
    • Handle: RePEc:wsi:apjorx:v:28:y:2011:i:05:n:s0217595911003466
    DOI: 10.1142/S0217595911003466
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    Cited by:

    1. Bonet Filella, Guillem & Trivella, Alessio & Corman, Francesco, 2023. "Modeling soft unloading constraints in the multi-drop container loading problem," European Journal of Operational Research, Elsevier, vol. 308(1), pages 336-352.
    2. Silva, Elsa & Ramos, António G. & Oliveira, José F., 2018. "Load balance recovery for multi-drop distribution problems: A mixed integer linear programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 116(C), pages 62-75.
    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.

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