Multi-criteria model for classifying clients of companies distributing liquefied petroleum gas
Autor(a) principal: | |
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Data de Publicação: | 2010 |
Outros Autores: | , |
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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Brazilian Journal of Operations & Production Management (Online) |
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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 |
_version_ |
1797051459985997824 |