Stowage Planning with Optimal Ballast Water

Beizhen Jia, Kjetil Fagerholt, Line Blander Reinhardt, Niels Gorm Maly Rytter

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Abstrakt

Stowage planning is at the essence of a maritime supply chain, especially for short sea Ro-Ro ships. This paper studies stowage optimisation of Ro-Ro ships with a focus on stability constraints and the applicability of models. The paper contributes to short sea Ro-Ro ship stowage in two ways. First, we propose an integrated approach of designing stowage models with the consideration of loading computers. Second, we present a mathematical formulation of the Ro-Ro Ship Stowage Problem with Ballast Water with a discretisation method, to generate an optimal stowage plan which meets stability requirements by means of the weight of cargoes instead of excess ballast water, i.e. excess fuel consumption. Computational tests based on empirical data indicate significant savings and potential of model application in the real world. Preliminary results show 57.69% ballast water reduction, equivalent to 6.7% fuel savings and CO2 reduction. Additional tests on instances with various cargo weight distribution and discretisation levels are conducted, and finally, improvements are suggested for further research considerations.
OriginalsprogEngelsk
TitelComputational Logistics. ICCL 2020
RedaktørerEduardo Lalla-Ruiz, Martijn Mes, Stefan Voß
ForlagSpringer
Publikationsdato2020
Sider84-100
ISBN (Trykt)978-3-030-59746-7
ISBN (Elektronisk)978-3-030-59747-4
DOI
StatusUdgivet - 2020
Begivenhed11th International Conference on Computational Logistics - Enschede, Holland
Varighed: 28. sep. 202030. sep. 2020

Konference

Konference11th International Conference on Computational Logistics
Land/OmrådeHolland
ByEnschede
Periode28/09/202030/09/2020
NavnLecture Notes in Computer Science
Vol/bind12433
ISSN0302-9743

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