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DC Field | Value | Language |
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dc.contributor.author | Marchetti, Dalmo dos Santos | - |
dc.contributor.author | Wanke, Peter Fernandes | - |
dc.date.accessioned | 2021-03-24T21:32:35Z | - |
dc.date.available | 2023-12-21T03:00:42Z | - |
dc.date.issued | 2020-03 | - |
dc.identifier.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. | pt_BR |
dc.identifier.issn | 1366-5545 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/11422/13946 | - |
dc.description.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. | en |
dc.language | eng | pt_BR |
dc.publisher | Elsevier | pt_BR |
dc.relation.ispartof | Transportation Research Part E: Logistics and Transportation Review | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.subject | Genetic algorithms | en |
dc.subject | Railroads | en |
dc.subject | TOPSIS | en |
dc.subject | Algorítmos genéticos | pt_BR |
dc.subject | Ferrovias | pt_BR |
dc.title | Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios | en |
dc.type | Artigo | pt_BR |
dc.identifier.doi | 10.1016/j.tre.2020.101858 | pt_BR |
dc.description.resumo | Indisponível. | pt_BR |
dc.publisher.country | Brasil | pt_BR |
dc.publisher.department | Instituto COPPEAD de Administração | pt_BR |
dc.subject.cnpq | CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE SETORES ESPECIFICOS | pt_BR |
dc.citation.volume | 135 | pt_BR |
dc.embargo.terms | aberto | pt_BR |
Appears in Collections: | Ciências Sociais Aplicadas |
Files in This Item:
File | Description | Size | Format | |
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DMarchetti-min.pdf | 722.41 kB | Adobe PDF | View/Open |
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