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

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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Main Authors: Novaes,Antonio G.N., Scholz-Reiter,Bernd, Silva,Vanina M. Durski, Rosa,Hobed
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Pesquisa Operacional 2012
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100005
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spelling oai:scielo:S0101-743820120001000052012-05-02Long-term planning of a container terminal under demand uncertainty and economies of scaleNovaes,Antonio G.N.Scholz-Reiter,BerndSilva,Vanina M. DurskiRosa,Hobed container terminals capacity expansion dynamic programming abandon option 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.info:eu-repo/semantics/openAccessSociedade Brasileira de Pesquisa OperacionalPesquisa Operacional v.32 n.1 20122012-04-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100005en10.1590/S0101-74382012005000009
institution SCIELO
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country Brasil
countrycode BR
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Novaes,Antonio G.N.
Scholz-Reiter,Bernd
Silva,Vanina M. Durski
Rosa,Hobed
spellingShingle Novaes,Antonio G.N.
Scholz-Reiter,Bernd
Silva,Vanina M. Durski
Rosa,Hobed
Long-term planning of a container terminal under demand uncertainty and economies of scale
author_facet Novaes,Antonio G.N.
Scholz-Reiter,Bernd
Silva,Vanina M. Durski
Rosa,Hobed
author_sort Novaes,Antonio G.N.
title Long-term planning of a container terminal under demand uncertainty and economies of scale
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
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.
publisher Sociedade Brasileira de Pesquisa Operacional
publishDate 2012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382012000100005
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