Long-term planning of a container terminal under demand uncertainty and economies of scale

Detalhes bibliográficos
Autor(a) principal: Novaes,Antonio G.N.
Data de Publicação: 2012
Outros Autores: Scholz-Reiter,Bernd, Silva,Vanina M. Durski, Rosa,Hobed
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100005
Resumo: Governments of many developing countries are presently granting concessions to private organizations to operate container terminals. A key element in this process is the technical and economic evaluation of the project. In practice, the demand levels over time are volatile. The first part of the paper deals with a capacity expansion problem with stochastic demand. Next, an optimization model employs a dynamic programming routine to find the best epochs to install new berths. Ship waiting times are computed with queuing models and are introduced into the main model as upper restrictions based on international practice. Finally, a real options analysis is performed with the objective of evaluating the effects of an eventual abandonment of the project at a pre-defined time horizon. The model is then applied to the container terminal of the Port of Rio Grande, Brazil.
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spelling Long-term planning of a container terminal under demand uncertainty and economies of scalecontainer terminalscapacity expansiondynamic programmingabandon optionGovernments of many developing countries are presently granting concessions to private organizations to operate container terminals. A key element in this process is the technical and economic evaluation of the project. In practice, the demand levels over time are volatile. The first part of the paper deals with a capacity expansion problem with stochastic demand. Next, an optimization model employs a dynamic programming routine to find the best epochs to install new berths. Ship waiting times are computed with queuing models and are introduced into the main model as upper restrictions based on international practice. Finally, a real options analysis is performed with the objective of evaluating the effects of an eventual abandonment of the project at a pre-defined time horizon. The model is then applied to the container terminal of the Port of Rio Grande, Brazil.Sociedade Brasileira de Pesquisa Operacional2012-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100005Pesquisa Operacional v.32 n.1 2012reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382012005000009info:eu-repo/semantics/openAccessNovaes,Antonio G.N.Scholz-Reiter,BerndSilva,Vanina M. DurskiRosa,Hobedeng2012-05-02T00:00:00Zoai:scielo:S0101-74382012000100005Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2012-05-02T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv Long-term planning of a container terminal under demand uncertainty and economies of scale
title Long-term planning of a container terminal under demand uncertainty and economies of scale
spellingShingle Long-term planning of a container terminal under demand uncertainty and economies of scale
Novaes,Antonio G.N.
container terminals
capacity expansion
dynamic programming
abandon option
title_short Long-term planning of a container terminal under demand uncertainty and economies of scale
title_full Long-term planning of a container terminal under demand uncertainty and economies of scale
title_fullStr Long-term planning of a container terminal under demand uncertainty and economies of scale
title_full_unstemmed Long-term planning of a container terminal under demand uncertainty and economies of scale
title_sort Long-term planning of a container terminal under demand uncertainty and economies of scale
author Novaes,Antonio G.N.
author_facet Novaes,Antonio G.N.
Scholz-Reiter,Bernd
Silva,Vanina M. Durski
Rosa,Hobed
author_role author
author2 Scholz-Reiter,Bernd
Silva,Vanina M. Durski
Rosa,Hobed
author2_role author
author
author
dc.contributor.author.fl_str_mv Novaes,Antonio G.N.
Scholz-Reiter,Bernd
Silva,Vanina M. Durski
Rosa,Hobed
dc.subject.por.fl_str_mv container terminals
capacity expansion
dynamic programming
abandon option
topic container terminals
capacity expansion
dynamic programming
abandon option
description Governments of many developing countries are presently granting concessions to private organizations to operate container terminals. A key element in this process is the technical and economic evaluation of the project. In practice, the demand levels over time are volatile. The first part of the paper deals with a capacity expansion problem with stochastic demand. Next, an optimization model employs a dynamic programming routine to find the best epochs to install new berths. Ship waiting times are computed with queuing models and are introduced into the main model as upper restrictions based on international practice. Finally, a real options analysis is performed with the objective of evaluating the effects of an eventual abandonment of the project at a pre-defined time horizon. The model is then applied to the container terminal of the Port of Rio Grande, Brazil.
publishDate 2012
dc.date.none.fl_str_mv 2012-04-01
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=S0101-74382012000100005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382012005000009
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 Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.32 n.1 2012
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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