A model-based Decision Support System for multiple container terminals hub management

Detalhes bibliográficos
Autor(a) principal: Facchini,Francesco
Data de Publicação: 2018
Outros Autores: Boenzi,Francesco, Digiesi,Salvatore, Mummolo,Giovanni
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132018000100213
Resumo: Abstract Paper aims To develop a model-based Decision Support System (DSS) that allows identifying the best strategy of the inter-/intra-terminal flows of the containers in order to increasing the performance of the hub under economic and environmental perspective. Originality The adoption of a dry port can effectively solve the congestion problem of a terminal only if an integrated sustainable solution (dry port location and container strategy storage) is identified. Research method The model is based on a heuristic computational algorithm for non-linear programming. Main findings The application of DSS to a full-scale numerical case show the model capabilities in identifying the optimal logistic strategies ensuring a low CF and in optimizing the cost due to transport activities. Implications for theory and practice It is possible to identify different strategies allowing to obtain an eco-friendly solution reducing, at same time, the costs for a given number of containers to be handled.
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spelling A model-based Decision Support System for multiple container terminals hub managementSustainable logisticsContainer terminalDry portCarbon footprintMaterial handlingAbstract Paper aims To develop a model-based Decision Support System (DSS) that allows identifying the best strategy of the inter-/intra-terminal flows of the containers in order to increasing the performance of the hub under economic and environmental perspective. Originality The adoption of a dry port can effectively solve the congestion problem of a terminal only if an integrated sustainable solution (dry port location and container strategy storage) is identified. Research method The model is based on a heuristic computational algorithm for non-linear programming. Main findings The application of DSS to a full-scale numerical case show the model capabilities in identifying the optimal logistic strategies ensuring a low CF and in optimizing the cost due to transport activities. Implications for theory and practice It is possible to identify different strategies allowing to obtain an eco-friendly solution reducing, at same time, the costs for a given number of containers to be handled.Associação Brasileira de Engenharia de Produção2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132018000100213Production v.28 2018reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20170074info:eu-repo/semantics/openAccessFacchini,FrancescoBoenzi,FrancescoDigiesi,SalvatoreMummolo,Giovannieng2018-08-17T00:00:00Zoai:scielo:S0103-65132018000100213Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2018-08-17T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv A model-based Decision Support System for multiple container terminals hub management
title A model-based Decision Support System for multiple container terminals hub management
spellingShingle A model-based Decision Support System for multiple container terminals hub management
Facchini,Francesco
Sustainable logistics
Container terminal
Dry port
Carbon footprint
Material handling
title_short A model-based Decision Support System for multiple container terminals hub management
title_full A model-based Decision Support System for multiple container terminals hub management
title_fullStr A model-based Decision Support System for multiple container terminals hub management
title_full_unstemmed A model-based Decision Support System for multiple container terminals hub management
title_sort A model-based Decision Support System for multiple container terminals hub management
author Facchini,Francesco
author_facet Facchini,Francesco
Boenzi,Francesco
Digiesi,Salvatore
Mummolo,Giovanni
author_role author
author2 Boenzi,Francesco
Digiesi,Salvatore
Mummolo,Giovanni
author2_role author
author
author
dc.contributor.author.fl_str_mv Facchini,Francesco
Boenzi,Francesco
Digiesi,Salvatore
Mummolo,Giovanni
dc.subject.por.fl_str_mv Sustainable logistics
Container terminal
Dry port
Carbon footprint
Material handling
topic Sustainable logistics
Container terminal
Dry port
Carbon footprint
Material handling
description Abstract Paper aims To develop a model-based Decision Support System (DSS) that allows identifying the best strategy of the inter-/intra-terminal flows of the containers in order to increasing the performance of the hub under economic and environmental perspective. Originality The adoption of a dry port can effectively solve the congestion problem of a terminal only if an integrated sustainable solution (dry port location and container strategy storage) is identified. Research method The model is based on a heuristic computational algorithm for non-linear programming. Main findings The application of DSS to a full-scale numerical case show the model capabilities in identifying the optimal logistic strategies ensuring a low CF and in optimizing the cost due to transport activities. Implications for theory and practice It is possible to identify different strategies allowing to obtain an eco-friendly solution reducing, at same time, the costs for a given number of containers to be handled.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132018000100213
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132018000100213
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6513.20170074
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.28 2018
reponame:Production
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Production
collection Production
repository.name.fl_str_mv Production - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv ||production@editoracubo.com.br
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