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Three dimensional stacking of containers

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  • Sculli, D
  • Hui, CF

Abstract

This paper reports the results of a simulation study into the stacking and handling of containers with the same dimensions. The measures of performance include volumetric utilisation, wasteful handling ratios, shortage ratio, and rejection ratio. The decision variables include the maximum dimensions of the store, stacking policies, and the different number of types of containers and their relative frequencies. The results indicate that the number of different types of containers has the largest impact on the measures of performance. The effects of the stacking policy and maximum store dimensions are also significant.

Suggested Citation

  • Sculli, D & Hui, CF, 1988. "Three dimensional stacking of containers," Omega, Elsevier, vol. 16(6), pages 585-594.
  • Handle: RePEc:eee:jomega:v:16:y:1988:i:6:p:585-594
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    Cited by:

    1. Kuzmicz, Katarzyna Anna & Pesch, Erwin, 2019. "Approaches to empty container repositioning problems in the context of Eurasian intermodal transportation," Omega, Elsevier, vol. 85(C), pages 194-213.
    2. Maniezzo, Vittorio & Boschetti, Marco A. & Gutjahr, Walter J., 2021. "Stochastic premarshalling of block stacking warehouses," Omega, Elsevier, vol. 102(C).
    3. Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.
    4. Wang, Ning & Jin, Bo & Lim, Andrew, 2015. "Target-guided algorithms for the container pre-marshalling problem," Omega, Elsevier, vol. 53(C), pages 67-77.
    5. Petering, Matthew E.H. & Hussein, Mazen I., 2013. "A new mixed integer program and extended look-ahead heuristic algorithm for the block relocation problem," European Journal of Operational Research, Elsevier, vol. 231(1), pages 120-130.
    6. Lorenzo Brunetta & Philippe Grégoire, 2005. "A General Purpose Algorithm for Three-Dimensional Packing," INFORMS Journal on Computing, INFORMS, vol. 17(3), pages 328-338, August.
    7. Terno, Johannes & Scheithauer, Guntram & Sommerwei[ss], Uta & Riehme, Jan, 2000. "An efficient approach for the multi-pallet loading problem," European Journal of Operational Research, Elsevier, vol. 123(2), pages 372-381, June.
    8. Saurí, S. & Martín, E., 2011. "Space allocating strategies for improving import yard performance at marine terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1038-1057.

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