@inproceedings{923a672178c542e88b581d4ccb4eb62a,
title = "Stowage Planning with Optimal Ballast Water",
abstract = "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. ",
keywords = "Ballast water, Environmental impact, Maritime transportation, Stowage optimisation",
author = "Beizhen Jia and Kjetil Fagerholt and Line Reinhardt and Rytter, {Niels Gorm}",
note = "Imortant note from the Publisher regarding the attached version of the article: “This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-59747-4_6”.",
year = "2020",
month = sep,
day = "30",
doi = "10.1007/978-3-030-59747-4_6",
language = "English",
isbn = "978-3-030-59746-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "84--100",
editor = "Eduardo Lalla-Ruiz and Martijn Mes and Stefan Vo{\ss}",
booktitle = "Computational Logistics - 11th International Conference, ICCL 2020, Proceedings",
}