Citation
Container Stowage and Short Sea Ship Routing Problem Optimization. In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium, pages 111-124, 2013.
Paper
Abstract
Short sea shipping has several advantages over other means of transportation, recognized by EU members. The maritime transportation could be dealt like a combination of two well-known problems: the container stowage problem and routing planning problem. The integration of these two well-known problems results in a new problem CSSRP (Container stowage and ship routing problem) that is also an hard combinatorial optimization problem. In this work we prove that regardless of the complexity of this problem a mixed integer mathematical programming model (MIP) could be used to generate optimal solutions in a reduced computational time. The main goal is to solve the container stowage problem and also to plan the vessels routes in an integrated way. In dealing with this integrated problem it is expected that the management of small fleets of containerships of short sea distribution will be optimized and the transportation costs are reduced. For testing the mathematical model some problems based in real data were used and the optimality was always achieved in a very short computational time.
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Bibtex
@INPROCEEDINGS{2013-111-124-P, author = {A. Moura and J. Oliveira},
title = {Container Stowage and Short Sea Ship Routing Problem Optimization },
booktitle = {In proceedings of the 6th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2013), 27 - 30 Aug 2013, Ghent, Belgium},
year = {2013},
editor = {G. Kendall and B. McCollum and G. {Venden Berghe}},
pages = {111--124},
note = {Paper},
abstract = {Short sea shipping has several advantages over other means of transportation, recognized by EU members. The maritime transportation could be dealt like a combination of two well-known problems: the container stowage problem and routing planning problem. The integration of these two well-known problems results in a new problem CSSRP (Container stowage and ship routing problem) that is also an hard combinatorial optimization problem. In this work we prove that regardless of the complexity of this problem a mixed integer mathematical programming model (MIP) could be used to generate optimal solutions in a reduced computational time. The main goal is to solve the container stowage problem and also to plan the vessels routes in an integrated way. In dealing with this integrated problem it is expected that the management of small fleets of containerships of short sea distribution will be optimized and the transportation costs are reduced. For testing the mathematical model some problems based in real data were used and the optimality was always achieved in a very short computational time. },
owner = {Graham},
timestamp = {2017.01.16},
webpdf = {2013-111-124-P.pdf} }