Abstract
Reducing emissions from the Roll-on/Roll-off (RORO) ship** industry has seen an increase in focus in the past years. Reducing the turnaround time in ports through stowage planning will increase slow-steaming use. Stowage planning assigns cargo to positions on board the vessel. This paper studies how the dynamic arrival of cargo affects stowage planning by considering revenue from ship** cargo vs. fuel costs incurred from time spent waiting and stowing cargo. A mixed-integer program formulation and a heuristic approach are presented to solve the problem. The computational study shows how the heuristic can find stowage plans for the dynamic arrival of cargo. A sensitivity analysis is conducted to investigate algorithm sensitivity in relation to revenue, fuel costs, and cargo handling time. The results indicate a high sensitivity in the number of units of cargo stowed when these parameters fluctuate.
This work is partly funded by the Innovation Fund Denmark (IFD) under File No. 0177-00022B.
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Main, A.R., Rodrigues, F., Pacino, D. (2023). The Dynamic RORO Stowage Planning Problem. In: Daduna, J.R., Liedtke, G., Shi, X., Voß, S. (eds) Computational Logistics. ICCL 2023. Lecture Notes in Computer Science, vol 14239. Springer, Cham. https://doi.org/10.1007/978-3-031-43612-3_7
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