The efficiency of railways specialized in transporting iron ore and pellets

Detalhes bibliográficos
Autor(a) principal: Fontan, Renata
Data de Publicação: 2021
Outros Autores: Rosa, Rodrigo, Lacruz, Adonai
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1941
Resumo: Objective: The objective is to compare the relative efficiency of the railways specialized in transporting iron ore (MFe) and pellets (PLMFe), which are part of the assets of mining companies and pellet plants considering the 2016 scenario. Methods: The Data Envelopment Analysis (DEA) technique was used, with the application of the output-oriented Constant Returns Scale (CRS) model; the initial combinatorial multicriteria method for choosing the input variables; and Tobit regression as a validation strategy for the DEA model. Results: Of the twelve railways evaluated, three railways were identified as efficient: Estrada de Ferro Carajás, Fortescue and Mount Newman. Conclusions: The applied model was considered as a good method to evaluate the efficiency of railways specialized in transporting MFe and PLMFe, as it determined the efficiency of each railway, suggesting the necessary increase in the output variable or adjustments in the input variables so that the railways reach the efficiency frontier. With that, companies can use the results of this study to guide future improvements to make their railway more efficient or maintain on the frontier of efficiency.
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spelling The efficiency of railways specialized in transporting iron ore and pelletsEficiência das ferrovias especializadas em transporte de minério de ferro e pelotasferrovias especializadas em minério de ferro e pelotasanálise envoltória de dadoseficiência do transporte ferroviário de cargarailways specialized in iron ore and pelletsdata envelopment analysisrail freight transport efficiencyObjective: The objective is to compare the relative efficiency of the railways specialized in transporting iron ore (MFe) and pellets (PLMFe), which are part of the assets of mining companies and pellet plants considering the 2016 scenario. Methods: The Data Envelopment Analysis (DEA) technique was used, with the application of the output-oriented Constant Returns Scale (CRS) model; the initial combinatorial multicriteria method for choosing the input variables; and Tobit regression as a validation strategy for the DEA model. Results: Of the twelve railways evaluated, three railways were identified as efficient: Estrada de Ferro Carajás, Fortescue and Mount Newman. Conclusions: The applied model was considered as a good method to evaluate the efficiency of railways specialized in transporting MFe and PLMFe, as it determined the efficiency of each railway, suggesting the necessary increase in the output variable or adjustments in the input variables so that the railways reach the efficiency frontier. With that, companies can use the results of this study to guide future improvements to make their railway more efficient or maintain on the frontier of efficiency.Objetivo: Objetiva-se comparar a eficiência relativa das ferrovias especializadas em transporte de minério de ferro (MFe) e pelota (PLMFe), que fazem parte do patrimônio das empresas de mineração e usinas de pelotização considerando o cenário de 2016. Métodos: Foi utilizada a técnica Análise Envoltória de Dados (DEA), com aplicação do modelo de retornos constantes de escala (CCR) e orientação a saída (output); o método multicritério combinatório inicial para escolha das variáveis de entrada e a regressão Tobit como estratégia de validação do modelo DEA. Resultados: Das doze ferrovias avaliadas, três ferrovias foram identificadas como eficientes: Estrada de Ferro Carajás, Fortescue e Mount Newman. Conclusões: O modelo aplicado foi considerado como um bom método para avaliar a eficiência das ferrovias especializadas em transporte de MFe e PLMFe, pois determinou a eficiência de cada ferrovia, sugerindo o aumento necessário na variável de saída ou ajustes nas variáveis de entrada para que as ferrovias atinjam a fronteira de eficiência. Com isso, as empresas podem utilizar os resultados deste estudo para guiar melhorias futuras para tornar sua ferrovia mais eficiente ou se manter na fronteira de eficiência.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-04-09info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/194110.1590/SciELOPreprints.1941porhttps://preprints.scielo.org/index.php/scielo/article/view/1941/3469Copyright (c) 2021 Renata Fontan, Rodrigo Rosa, Adonai Lacruzhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessFontan, RenataRosa, RodrigoLacruz, Adonaireponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-03-02T00:41:07Zoai:ops.preprints.scielo.org:preprint/1941Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-03-02T00:41:07SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv The efficiency of railways specialized in transporting iron ore and pellets
Eficiência das ferrovias especializadas em transporte de minério de ferro e pelotas
title The efficiency of railways specialized in transporting iron ore and pellets
spellingShingle The efficiency of railways specialized in transporting iron ore and pellets
Fontan, Renata
ferrovias especializadas em minério de ferro e pelotas
análise envoltória de dados
eficiência do transporte ferroviário de carga
railways specialized in iron ore and pellets
data envelopment analysis
rail freight transport efficiency
title_short The efficiency of railways specialized in transporting iron ore and pellets
title_full The efficiency of railways specialized in transporting iron ore and pellets
title_fullStr The efficiency of railways specialized in transporting iron ore and pellets
title_full_unstemmed The efficiency of railways specialized in transporting iron ore and pellets
title_sort The efficiency of railways specialized in transporting iron ore and pellets
author Fontan, Renata
author_facet Fontan, Renata
Rosa, Rodrigo
Lacruz, Adonai
author_role author
author2 Rosa, Rodrigo
Lacruz, Adonai
author2_role author
author
dc.contributor.author.fl_str_mv Fontan, Renata
Rosa, Rodrigo
Lacruz, Adonai
dc.subject.por.fl_str_mv ferrovias especializadas em minério de ferro e pelotas
análise envoltória de dados
eficiência do transporte ferroviário de carga
railways specialized in iron ore and pellets
data envelopment analysis
rail freight transport efficiency
topic ferrovias especializadas em minério de ferro e pelotas
análise envoltória de dados
eficiência do transporte ferroviário de carga
railways specialized in iron ore and pellets
data envelopment analysis
rail freight transport efficiency
description Objective: The objective is to compare the relative efficiency of the railways specialized in transporting iron ore (MFe) and pellets (PLMFe), which are part of the assets of mining companies and pellet plants considering the 2016 scenario. Methods: The Data Envelopment Analysis (DEA) technique was used, with the application of the output-oriented Constant Returns Scale (CRS) model; the initial combinatorial multicriteria method for choosing the input variables; and Tobit regression as a validation strategy for the DEA model. Results: Of the twelve railways evaluated, three railways were identified as efficient: Estrada de Ferro Carajás, Fortescue and Mount Newman. Conclusions: The applied model was considered as a good method to evaluate the efficiency of railways specialized in transporting MFe and PLMFe, as it determined the efficiency of each railway, suggesting the necessary increase in the output variable or adjustments in the input variables so that the railways reach the efficiency frontier. With that, companies can use the results of this study to guide future improvements to make their railway more efficient or maintain on the frontier of efficiency.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1941
10.1590/SciELOPreprints.1941
url https://preprints.scielo.org/index.php/scielo/preprint/view/1941
identifier_str_mv 10.1590/SciELOPreprints.1941
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1941/3469
dc.rights.driver.fl_str_mv Copyright (c) 2021 Renata Fontan, Rodrigo Rosa, Adonai Lacruz
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Renata Fontan, Rodrigo Rosa, Adonai Lacruz
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
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