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Berth allocation planning in Seville inland port by simulation and optimisation

 

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dc.creator Arango Pastrana, Carlos Alberto es
dc.creator Cortés, Pablo es
dc.creator Muñuzuri, Jesús es
dc.creator Onieva, Luis es
dc.date.accessioned 2016-04-26T15:05:32Z
dc.date.available 2016-04-26T15:05:32Z
dc.date.issued 2011
dc.identifier.citation Arango Pastrana, C.A., Cortés, P., Muñuzuri Sanz, J. y Onieva Giménez, L.G. (2011). Berth allocation planning in Seville inland port by simulation and optimisation. Advanced Engineering Informatics, 25 (3), 452-461.
dc.identifier.issn 1474-0346 es
dc.identifier.uri http://hdl.handle.net/11441/40487
dc.description.abstract We study the problems associated with allocating berths for containerships in the port of Seville. It is the only inland port in Spain and it is located on the Guadalquivir River. This paper addresses the berth allocation planning problems using simulation and optimisation with Arena software. We propose a mathematical model and develop a heuristic procedure based on genetic algorithm to solve non-linear problems. Allocation planning aims to minimise the total service time for each ship and considers a first-come-first-served allocation strategy. We conduct a large amount of computational experiments which show that the proposed model improves the current berth management strategy. es
dc.format application/pdf es
dc.language.iso eng es
dc.publisher Elsevier es
dc.relation.ispartof Advanced Engineering Informatics, 25 (3), 452-461.
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 Internacional *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Berth allocation es
dc.subject Genetic algorithms es
dc.subject Port operations es
dc.subject Container transportation es
dc.title Berth allocation planning in Seville inland port by simulation and optimisation es
dc.type info:eu-repo/semantics/article es
dc.type.version info:eu-repo/semantics/submittedVersion es
dc.rights.accessrights info:eu-repo/semantics/openAccess es
dc.contributor.affiliation Universidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas II es
dc.relation.publisherversion http://dx.doi.org/10.1016/j.aei.2011.05.001 es
dc.identifier.doi 10.1016/j.aei.2011.05.001 es
idus.format.extent 15 p. es
dc.journaltitle Advanced Engineering Informatics es
dc.publication.volumen 25 es
dc.publication.issue 3 es
dc.publication.initialPage 452 es
dc.publication.endPage 461 es
dc.identifier.idus https://idus.us.es/xmlui/handle/11441/40487
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