Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/13946
Type: Artigo
Title: Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios
Author(s)/Inventor(s): Marchetti, Dalmo dos Santos
Wanke, Peter Fernandes
Abstract: Indisponível.
Abstract: 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.
Keywords: Genetic algorithms
Railroads
TOPSIS
Algorítmos genéticos
Ferrovias
Subject CNPq: CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE SETORES ESPECIFICOS
Production unit: Instituto COPPEAD de Administração
Publisher: Elsevier
In: Transportation Research Part E: Logistics and Transportation Review
Volume: 135
Issue Date: Mar-2020
DOI: 10.1016/j.tre.2020.101858
Publisher country: Brasil
Language: eng
Right access: Acesso Aberto
ISSN: 1366-5545
Citation: 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.
Appears in Collections:Ciências Sociais Aplicadas

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