Logistics Management in Maritime Transportation Systems

Autores
Coccola, Mariana Evangelina; Mendez, Carlos Alberto
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The efficient routing and scheduling of multi-parcel chemical tankers is a challenging problem for both chemical and shipping industry. To optimally manage complex logistics problem, a novel continuous time precedence-based MILP mathematical formulation is developed to determine the optimal solution to the ship routing and scheduling. The approach aims to determine the assignment of cargos to ships and define the optimal route that each ship should follow to maximize its profit. The MILP-based model is then combined with an iterative algorithm in order to tackle large-scale problems involving a large numbers of ships, ports, and cargos. To illustrate the applicability and importance of the proposed method, a real industrial case study taken from literature is solved with modest CPU times.
Fil: Coccola, Mariana Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Materia
Ship Routing And Scheduling
Milp-Based Strategies
Heuristic Techniques
Maritime Transportation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/8788
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Logistics Management in Maritime Transportation SystemsCoccola, Mariana EvangelinaMendez, Carlos AlbertoShip Routing And SchedulingMilp-Based StrategiesHeuristic TechniquesMaritime Transportationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The efficient routing and scheduling of multi-parcel chemical tankers is a challenging problem for both chemical and shipping industry. To optimally manage complex logistics problem, a novel continuous time precedence-based MILP mathematical formulation is developed to determine the optimal solution to the ship routing and scheduling. The approach aims to determine the assignment of cargos to ships and define the optimal route that each ship should follow to maximize its profit. The MILP-based model is then combined with an iterative algorithm in order to tackle large-scale problems involving a large numbers of ships, ports, and cargos. To illustrate the applicability and importance of the proposed method, a real industrial case study taken from literature is solved with modest CPU times.Fil: Coccola, Mariana Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); ArgentinaFil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); ArgentinaAIDIC2013-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8788Coccola, Mariana Evangelina; Mendez, Carlos Alberto; Logistics Management in Maritime Transportation Systems; AIDIC; Chemical Engineering Transactions; 32; 6-2013; 1291-12961974-9791enginfo:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.3303/cet1332216info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:14:11Zoai:ri.conicet.gov.ar:11336/8788instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:14:11.847CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Logistics Management in Maritime Transportation Systems
title Logistics Management in Maritime Transportation Systems
spellingShingle Logistics Management in Maritime Transportation Systems
Coccola, Mariana Evangelina
Ship Routing And Scheduling
Milp-Based Strategies
Heuristic Techniques
Maritime Transportation
title_short Logistics Management in Maritime Transportation Systems
title_full Logistics Management in Maritime Transportation Systems
title_fullStr Logistics Management in Maritime Transportation Systems
title_full_unstemmed Logistics Management in Maritime Transportation Systems
title_sort Logistics Management in Maritime Transportation Systems
dc.creator.none.fl_str_mv Coccola, Mariana Evangelina
Mendez, Carlos Alberto
author Coccola, Mariana Evangelina
author_facet Coccola, Mariana Evangelina
Mendez, Carlos Alberto
author_role author
author2 Mendez, Carlos Alberto
author2_role author
dc.subject.none.fl_str_mv Ship Routing And Scheduling
Milp-Based Strategies
Heuristic Techniques
Maritime Transportation
topic Ship Routing And Scheduling
Milp-Based Strategies
Heuristic Techniques
Maritime Transportation
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv The efficient routing and scheduling of multi-parcel chemical tankers is a challenging problem for both chemical and shipping industry. To optimally manage complex logistics problem, a novel continuous time precedence-based MILP mathematical formulation is developed to determine the optimal solution to the ship routing and scheduling. The approach aims to determine the assignment of cargos to ships and define the optimal route that each ship should follow to maximize its profit. The MILP-based model is then combined with an iterative algorithm in order to tackle large-scale problems involving a large numbers of ships, ports, and cargos. To illustrate the applicability and importance of the proposed method, a real industrial case study taken from literature is solved with modest CPU times.
Fil: Coccola, Mariana Evangelina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
Fil: Mendez, Carlos Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Santa Fe. Instituto de Desarrollo Tecnológico Para la Industria Química (i); Argentina
description The efficient routing and scheduling of multi-parcel chemical tankers is a challenging problem for both chemical and shipping industry. To optimally manage complex logistics problem, a novel continuous time precedence-based MILP mathematical formulation is developed to determine the optimal solution to the ship routing and scheduling. The approach aims to determine the assignment of cargos to ships and define the optimal route that each ship should follow to maximize its profit. The MILP-based model is then combined with an iterative algorithm in order to tackle large-scale problems involving a large numbers of ships, ports, and cargos. To illustrate the applicability and importance of the proposed method, a real industrial case study taken from literature is solved with modest CPU times.
publishDate 2013
dc.date.none.fl_str_mv 2013-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/8788
Coccola, Mariana Evangelina; Mendez, Carlos Alberto; Logistics Management in Maritime Transportation Systems; AIDIC; Chemical Engineering Transactions; 32; 6-2013; 1291-1296
1974-9791
url http://hdl.handle.net/11336/8788
identifier_str_mv Coccola, Mariana Evangelina; Mendez, Carlos Alberto; Logistics Management in Maritime Transportation Systems; AIDIC; Chemical Engineering Transactions; 32; 6-2013; 1291-1296
1974-9791
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.3303/cet1332216
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv AIDIC
publisher.none.fl_str_mv AIDIC
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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