Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas

Detalhes bibliográficos
Autor(a) principal: Sobral, Marcos Felipe
Data de Publicação: 2010
Outros Autores: Costa, Ana Paula Cabral Seixas, Almeida Filho, Adiel Teixeira de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/V7N1A3
Resumo: Liquefied Petroleum Gas (LPG) is a fossil fuel that has been attracting a lot of attention in national and global markets because of its logistical versatility, its calorific power, and because it emits a low level of pollutants. The history of its exploitation in the sharply competitive Brazilian market has been marked by various crises which made the exploitation of LPG an activity that has been subject to a number of uncertainties. The product is in the production chain of different market segments and is an important component in the national energy matrix. As a result of this, the process of classifying consumers by LPG distributors is a strategic task and subject to a set of criteria that need to be observed. In this context, this article concentrates on multi-criteria modeling in order to resolve the problematic of classifying clients in a LPG distribution company. A model is proposed based on the ELECTRE TRI method and the aim is to allocate the portfolio of clients to a set of ranked classes.  
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spelling Multi-criteria model for classifying clients of companies distributing liquefied petroleum gasMulti-criteria Decision AidLiquefied Petroleum GasELECTRE TRIClassification of Clientsdistributor of Liquefied Petroleum Gas.Liquefied Petroleum Gas (LPG) is a fossil fuel that has been attracting a lot of attention in national and global markets because of its logistical versatility, its calorific power, and because it emits a low level of pollutants. The history of its exploitation in the sharply competitive Brazilian market has been marked by various crises which made the exploitation of LPG an activity that has been subject to a number of uncertainties. The product is in the production chain of different market segments and is an important component in the national energy matrix. As a result of this, the process of classifying consumers by LPG distributors is a strategic task and subject to a set of criteria that need to be observed. In this context, this article concentrates on multi-criteria modeling in order to resolve the problematic of classifying clients in a LPG distribution company. A model is proposed based on the ELECTRE TRI method and the aim is to allocate the portfolio of clients to a set of ranked classes.  Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2010-08-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://bjopm.org.br/bjopm/article/view/V7N1A3Brazilian Journal of Operations & Production Management; Vol. 7 No. 1 (2010): July, 2010; 53-752237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/V7N1A3/82Copyright (c) 2010 Marcos Felipe Sobral, Ana Paula Cabral Seixas Costa, Adiel Teixeira de Almeida Filhohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSobral, Marcos FelipeCosta, Ana Paula Cabral SeixasAlmeida Filho, Adiel Teixeira de2022-11-24T17:42:34Zoai:ojs.bjopm.org.br:article/89Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:03.897269Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
title Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
spellingShingle Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
Sobral, Marcos Felipe
Multi-criteria Decision Aid
Liquefied Petroleum Gas
ELECTRE TRI
Classification of Clients
distributor of Liquefied Petroleum Gas.
title_short Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
title_full Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
title_fullStr Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
title_full_unstemmed Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
title_sort Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
author Sobral, Marcos Felipe
author_facet Sobral, Marcos Felipe
Costa, Ana Paula Cabral Seixas
Almeida Filho, Adiel Teixeira de
author_role author
author2 Costa, Ana Paula Cabral Seixas
Almeida Filho, Adiel Teixeira de
author2_role author
author
dc.contributor.author.fl_str_mv Sobral, Marcos Felipe
Costa, Ana Paula Cabral Seixas
Almeida Filho, Adiel Teixeira de
dc.subject.por.fl_str_mv Multi-criteria Decision Aid
Liquefied Petroleum Gas
ELECTRE TRI
Classification of Clients
distributor of Liquefied Petroleum Gas.
topic Multi-criteria Decision Aid
Liquefied Petroleum Gas
ELECTRE TRI
Classification of Clients
distributor of Liquefied Petroleum Gas.
description Liquefied Petroleum Gas (LPG) is a fossil fuel that has been attracting a lot of attention in national and global markets because of its logistical versatility, its calorific power, and because it emits a low level of pollutants. The history of its exploitation in the sharply competitive Brazilian market has been marked by various crises which made the exploitation of LPG an activity that has been subject to a number of uncertainties. The product is in the production chain of different market segments and is an important component in the national energy matrix. As a result of this, the process of classifying consumers by LPG distributors is a strategic task and subject to a set of criteria that need to be observed. In this context, this article concentrates on multi-criteria modeling in order to resolve the problematic of classifying clients in a LPG distribution company. A model is proposed based on the ELECTRE TRI method and the aim is to allocate the portfolio of clients to a set of ranked classes.  
publishDate 2010
dc.date.none.fl_str_mv 2010-08-08
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/V7N1A3
url https://bjopm.org.br/bjopm/article/view/V7N1A3
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/V7N1A3/82
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://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 Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 7 No. 1 (2010): July, 2010; 53-75
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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