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Development of a stochastic optimisation tool for solving the multiple container packing problems

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  • Thapatsuwan, Peeraya
  • Pongcharoen, Pupong
  • Hicks, Chris
  • Chainate, Warattapop

Abstract

Marine logistics has become increasingly important as the amount of global trade has increased. Products are usually packed in various sizes of boxes, which are then arranged into containers before shipping. Shipping companies aim to optimise the use of space when packing heterogeneous boxes into containers. The container packing problem (CPP) aims to optimise the packing of a number of rectangular boxes into a set of containers. The problems may be classified as being homogeneous (identical boxes), weakly heterogeneous (a few different sizes) or strongly heterogeneous (many different boxes). The CPP is categorised as an NP hard problem, which means that the amount of computation required to find solutions increases exponentially with problem size.

Suggested Citation

  • Thapatsuwan, Peeraya & Pongcharoen, Pupong & Hicks, Chris & Chainate, Warattapop, 2012. "Development of a stochastic optimisation tool for solving the multiple container packing problems," International Journal of Production Economics, Elsevier, vol. 140(2), pages 737-748.
    • Handle: RePEc:eee:proeco:v:140:y:2012:i:2:p:737-748
    DOI: 10.1016/j.ijpe.2011.05.012
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    References listed on IDEAS

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    Cited by:

    1. Liu, Weimiao & Deng, Tianhu & Li, Jianbin, 2019. "Product packing and stacking under uncertainty: A robust approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 903-917.
    2. Vélez-Gallego, Mario C. & Teran-Somohano, Alejandro & Smith, Alice E., 2020. "Minimizing late deliveries in a truck loading problem," European Journal of Operational Research, Elsevier, vol. 286(3), pages 919-928.
    3. Thepphakorn, Thatchai & Pongcharoen, Pupong & Hicks, Chris, 2014. "An ant colony based timetabling tool," International Journal of Production Economics, Elsevier, vol. 149(C), pages 131-144.

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