Hub location under hub congestion and demand uncertainty: the Brazilian case study

Pesquisa Operacional

Gilberto De Miranda Junior²  Ricardo Saraiva De Camargo¹  Luiz Ricardo Pinto¹  Samuel Vieira Conceição¹  Ricardo Poley Martins Ferreira¹ 

[1] ,Universidade Federal de Minas Gerais Departamento de Engenharia de Produção Belo Horizonte MG ,Brasil

关键词: hub-and-spoke networks;    Benders Decomposition;    large scale optimization;    mixed integernon-linear programming;    demand uncertainty;   

DOI  :  10.1590/S0101-74382011000200007

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
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