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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 |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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DMarchetti-min.pdf | 722.41 kB | Adobe PDF | Visualizar/Abrir |
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