Hub location under hub congestion and demand uncertainty: the Brazilian case study
In this work, a mixed integer nonlinear programming model combining direct service links, demand uncertainty and congestion effects is proposed. This model is efficiently solved by Generalized Benders Decomposition, for instances of moderate sizes and reasonable number of scenarios. The deployed alg...
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| Veröffentlicht in: | Pesquisa Operacional 2011-08, Vol.31 (2), p.319-349 |
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| container_title | Pesquisa Operacional |
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| creator | Miranda Junior, Gilberto de Camargo, Ricardo Saraiva de Pinto, Luiz Ricardo Conceição, Samuel Vieira Ferreira, Ricardo Poley Martins |
| description | In this work, a mixed integer nonlinear programming model combining direct service links, demand uncertainty and congestion effects is proposed. This model is efficiently solved by Generalized Benders Decomposition, for instances of moderate sizes and reasonable number of scenarios. The deployed algorithms are further used for re-designing the Brazilian air transportation network, enabling the analysis of future demand scenarios and providing decision support about the optimal investment policy for Brazil. |
| doi_str_mv | 10.1590/S0101-74382011000200007 |
| format | Article |
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| ispartof | Pesquisa Operacional, 2011-08, Vol.31 (2), p.319-349 |
| issn | 0101-7438 1678-5142 0101-7438 |
| language | eng |
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| source | EZB-FREE-00999 freely available EZB journals |
| subjects | OPERATIONS RESEARCH & MANAGEMENT SCIENCE |
| title | Hub location under hub congestion and demand uncertainty: the Brazilian case study |
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