Abstract

The typical voyage of a barge transporting maritime containers inland, consists of visiting a set of terminals where loading/unloading operations occur. The required stowage plans must meet stability requirements during all transport phases and avoid costly re-handling operations. In this paper, we formalize this problem and consider a typical dry-port transport system. We propose a comprehensive mathematical model that seeks to maximize stowed containers. To solve it, we develop a hybrid metaheuristic approach, based on local search and an industrial solver. Numerical experiments, based on real-world data, provide insights into the performances of the proposed framework and current stowage practices.


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The different versions of the original document can be found in:

https://api.elsevier.com/content/article/PII:S1366554519301723?httpAccept=text/plain,
http://dx.doi.org/10.1016/j.tre.2019.09.008 under the license https://www.elsevier.com/tdm/userlicense/1.0/
https://ideas.repec.org/a/eee/transe/v131y2019icp1-23.html,
https://www.rug.nl/research/portal/publications/a-decisionsupport-framework-for-the-stowage-of-maritime-containers-in-inland-shipping(1c5404cc-d859-4148-b0f3-dbb1efa559f1).html,
http://www.sciencedirect.com/science/article/pii/S1366554519301723,
https://academic.microsoft.com/#/detail/2976713828
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Document information

Published on 01/01/2019

Volume 2019, 2019
DOI: 10.1016/j.tre.2019.09.008
Licence: Other

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