Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/13946
Full metadata record
DC FieldValueLanguage
dc.contributor.authorMarchetti, Dalmo dos Santos-
dc.contributor.authorWanke, Peter Fernandes-
dc.date.accessioned2021-03-24T21:32:35Z-
dc.date.available2023-12-21T03:00:42Z-
dc.date.issued2020-03-
dc.identifier.citationMARCHETTI, 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.issn1366-5545pt_BR
dc.identifier.urihttp://hdl.handle.net/11422/13946-
dc.description.abstractA 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.languageengpt_BR
dc.publisherElsevierpt_BR
dc.relation.ispartofTransportation Research Part E: Logistics and Transportation Reviewpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectGenetic algorithmsen
dc.subjectRailroadsen
dc.subjectTOPSISen
dc.subjectAlgorítmos genéticospt_BR
dc.subjectFerroviaspt_BR
dc.titleEfficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenariosen
dc.typeArtigopt_BR
dc.identifier.doi10.1016/j.tre.2020.101858pt_BR
dc.description.resumoIndisponível.pt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentInstituto COPPEAD de Administraçãopt_BR
dc.subject.cnpqCNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO::ADMINISTRACAO DE SETORES ESPECIFICOSpt_BR
dc.citation.volume135pt_BR
dc.embargo.termsabertopt_BR
Appears in Collections:Ciências Sociais Aplicadas

Files in This Item:
File Description SizeFormat 
DMarchetti-min.pdf722.41 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.