Abstract
Based on the irregularity structure of the containership’s bay and the characteristics of the container stowage problem with multiconstraint and multiobjective, the container stowage problem is divided into the master bay plan problem (MBPP) and the slot plan problem (SPP) by using the principle of hierarchical batch decomposition algorithm. For MBPP, the matching model between bay collection and container collection is developed, aiming to minimize the rehandles rate and trim moment. For SPP, it is major to confirm the specific stowage sequence with the aim of minimizing the expected rehandles rate and the specific stowage position in view of heeling moment in one bay. Then, a case of Port A terminal is testified via simulation. The result demonstrates that the simulation-driven model can follow the relevant strategy of shipment and achieve the goal of zero rehandles rate with satisfying related constraints of stowage.
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Acknowledgments
This research has been partially funded by NSFC (No. 71372202).
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Wang, D., Zhang, Y., Wu, L., Tian, G. (2015). Stowage Plan Research Based on Hierarchical Decomposition. In: Deng, Z., Li, H. (eds) Proceedings of the 2015 Chinese Intelligent Automation Conference. Lecture Notes in Electrical Engineering, vol 337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46463-2_34
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DOI: https://doi.org/10.1007/978-3-662-46463-2_34
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