Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/11422/13946
Especie: Artigo
Título : Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios
Autor(es)/Inventor(es): Marchetti, Dalmo dos Santos
Wanke, Peter Fernandes
Resumen: Indisponível.
Resumen: A railway system plays a significant role in countries with large territorial dimensions. The Brazilian rail cargo system (BRCS), however, is focused on solid bulk for export. This paper investigates the extreme performances of BRCS through a new hybrid model that combines TOPSIS with a genetic algorithm for estimating the weights in optimized scenarios. In a second stage, the significance of selected variables was assessed. The transport of any type of cargo, a centralized control of the operation, and sharing the railway track pushing competition, and the diversification of services are significant for high performance. Public strategies are discussed.
Materia: Genetic algorithms
Railroads
TOPSIS
Algorítmos genéticos
Ferrovias
Materia CNPq: CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE SETORES ESPECIFICOS
Unidade de producción: Instituto COPPEAD de Administração
Editor: Elsevier
Es parte de: Transportation Research Part E: Logistics and Transportation Review
Volumen: 135
Fecha de publicación: mar-2020
DOI: 10.1016/j.tre.2020.101858
País de edición : Brasil
Idioma de publicación: eng
Tipo de acceso : Acesso Aberto
ISSN: 1366-5545
Citación : MARCHETTI, D.S.; WANKE, P.F. Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios. Transportation Research Part E: Logistics and Transportation Review, v.135, Mar. 2020.
Aparece en las colecciones: Ciências Sociais Aplicadas

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