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[PAST EVENT] Mathematics Colloquium: Ana Moura, University of Aveiro, Portugal
April 4, 2014
2pm - 3pm
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 a hard combinatorial optimization problem. In this work we prove that, regardless of the complexity of this problem, a mixed integer programming model for the short sea shipping distribution 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 container-ships routes in an integrated way. In dealing with this integrated problem it is expected that the management of small fleets of container-ships of short sea distribution will be optimized and the transportation costs are reduced. For testing the mathematical model some problems based on real data were generated and a sensibility analysis was performed.
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 a hard combinatorial optimization problem. In this work we prove that, regardless of the complexity of this problem, a mixed integer programming model for the short sea shipping distribution 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 container-ships routes in an integrated way. In dealing with this integrated problem it is expected that the management of small fleets of container-ships of short sea distribution will be optimized and the transportation costs are reduced. For testing the mathematical model some problems based on real data were generated and a sensibility analysis was performed.
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Rex Kincaid