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The distributor's three-dimensional pallet-packing problem: a human intelligence-based heuristic approach

Author

Listed:
  • Erhan Baltacioglu
  • James T. Moore
  • Raymond R. Hill Jr.

Abstract

The distributor's pallet-packing problem requires the loading of a pallet or container that has a fixed length, width and height with the objective to maximise utilisation of the pallet's volume. We develop a new heuristic algorithm using novel heuristic rules and a dynamic data structure to mimic human intelligence, thus providing a new solution approach to 3-D pallet packing. Comprehensive empirical testing, to include new methods for generating problems with known optimal solutions, demonstrate that our algorithm achieves pallet volume utilisations comparable or better than the best-known solutions, while finding these solutions very quickly. Computer-independent complexity results are provided.

Suggested Citation

  • Erhan Baltacioglu & James T. Moore & Raymond R. Hill Jr., 2006. "The distributor's three-dimensional pallet-packing problem: a human intelligence-based heuristic approach," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 1(3), pages 249-266.
    • Handle: RePEc:ids:ijores:v:1:y:2006:i:3:p:249-266
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    Citations

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    Cited by:

    1. Andreas Bortfeldt & Gerhard Wäscher, 2012. "Container Loading Problems - A State-of-the-Art Review," FEMM Working Papers 120007, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    2. Hakim Akeb & Mhand Hifi, 2010. "A hybrid beam search looking-ahead algorithm for the circular packing problem," Journal of Combinatorial Optimization, Springer, vol. 20(2), pages 101-130, August.
    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. Wu, Yong & Li, Wenkai & Goh, Mark & de Souza, Robert, 2010. "Three-dimensional bin packing problem with variable bin height," European Journal of Operational Research, Elsevier, vol. 202(2), pages 347-355, April.

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