Multivariate analysis of principal component and multicritery model applied to the decision to locate a company

Detalhes bibliográficos
Autor(a) principal: Dantas, Régis Façanha
Data de Publicação: 2021
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Produção Online
Texto Completo: https://www.producaoonline.org.br/rpo/article/view/4202
Resumo: Among the factors of success of a company, the choice of location is preponderant, being one of the relevant decisions of the entrepreneur, with each company, according to its business and specificities, its potential demand. In this article, we seek to have an instrument for decision-making for optimal location of companies using the multivariate analysis of main components applied with a multi-criteria optimization method. The model was structured with the creation of a multidimensional index, the Optimal Company Location Index - ILOE, through the Analysis of the Main Components. The city of Fortaleza was used for empirical investigation, representing the complexity of the economy typical of Brazilian urban centers. In this way, a framework is proposed for the decision of the retail company location decision problem, based on a set of qualitative and quantitative criteria. It is a hybrid decision support method that combines techniques from the MAUT (Multi-Attribute Utility) model with Principal Component Analysis, composed of socioeconomic dimensions present in the urban space. The empirical evidence was verified from the spatial analysis and the congruence of the location of service companies and current trade with ILOE, in a decision process whose preferences of the decision makers were revealed.
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spelling Multivariate analysis of principal component and multicritery model applied to the decision to locate a companyAnálise multivariada de componentes principais e modelo multicritério aplicados à decisão de localização de empresaBusiness Location. Multicriteria optimization. Multivariate analysis.Localização de Empresas. Otimização Multicritério. Análise Multivariada.Among the factors of success of a company, the choice of location is preponderant, being one of the relevant decisions of the entrepreneur, with each company, according to its business and specificities, its potential demand. In this article, we seek to have an instrument for decision-making for optimal location of companies using the multivariate analysis of main components applied with a multi-criteria optimization method. The model was structured with the creation of a multidimensional index, the Optimal Company Location Index - ILOE, through the Analysis of the Main Components. The city of Fortaleza was used for empirical investigation, representing the complexity of the economy typical of Brazilian urban centers. In this way, a framework is proposed for the decision of the retail company location decision problem, based on a set of qualitative and quantitative criteria. It is a hybrid decision support method that combines techniques from the MAUT (Multi-Attribute Utility) model with Principal Component Analysis, composed of socioeconomic dimensions present in the urban space. The empirical evidence was verified from the spatial analysis and the congruence of the location of service companies and current trade with ILOE, in a decision process whose preferences of the decision makers were revealed.Dentre os fatores de sucesso de uma empresa, a escolha da localização é preponderante, sendo uma das decisões relevantes do empreendedor, tendo cada empresa, de acordo com seu negócio e especificidades, sua demanda potencial. Neste artigo, busca-se dispor de um instrumento para tomada de decisão para locação ótima de empresas com uso da análise multivariada de componentes principais aplicada com método multicritério de otimização. O modelo foi estruturado com a criação de um índice multidimensional, o Índice de Localização Ótima de Empresas – ILOE, através da Análise dos Componentes Principais. A cidade de Fortaleza foi usada para averiguação empírica, representando a complexidade da economia típica dos centros urbanos brasileiros. Deste modo, propõe-se um framework para a decisão do problema de decisão da localização de empresa de varejo, baseado em um conjunto de critérios qualitativos e quantitativos. É um método híbrido de apoio à decisão que combina técnicas do modelo MAUT (Multi-Attribute Utility) com Análise de Componentes Principais, composta de dimensões socioeconômicas presentes no espaço urbano. As evidências empíricas foram verificadas a partir da análise espacial e a congruência da localização de empresas de serviços e comércio atual com o ILOE, num processo de decisão cujas preferências dos decisores foram reveladas.Associação Brasileira de Engenharia de Produção2021-03-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfvideo/mp4https://www.producaoonline.org.br/rpo/article/view/420210.14488/1676-1901.v21i1.4202Revista Produção Online; Vol. 21 No. 1 (2021); 203-230Revista Produção Online; v. 21 n. 1 (2021); 203-2301676-1901reponame:Revista Produção Onlineinstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROporhttps://www.producaoonline.org.br/rpo/article/view/4202/2017https://www.producaoonline.org.br/rpo/article/view/4202/2018Copyright (c) 2021 Revista Produção Onlineinfo:eu-repo/semantics/openAccessDantas, Régis Façanha2021-03-16T02:35:06Zoai:ojs.emnuvens.com.br:article/4202Revistahttp://producaoonline.org.br/rpoPUBhttps://www.producaoonline.org.br/rpo/oai||producaoonline@gmail.com1676-19011676-1901opendoar:2021-03-16T02:35:06Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Multivariate analysis of principal component and multicritery model applied to the decision to locate a company
Análise multivariada de componentes principais e modelo multicritério aplicados à decisão de localização de empresa
title Multivariate analysis of principal component and multicritery model applied to the decision to locate a company
spellingShingle Multivariate analysis of principal component and multicritery model applied to the decision to locate a company
Dantas, Régis Façanha
Business Location. Multicriteria optimization. Multivariate analysis.
Localização de Empresas. Otimização Multicritério. Análise Multivariada.
title_short Multivariate analysis of principal component and multicritery model applied to the decision to locate a company
title_full Multivariate analysis of principal component and multicritery model applied to the decision to locate a company
title_fullStr Multivariate analysis of principal component and multicritery model applied to the decision to locate a company
title_full_unstemmed Multivariate analysis of principal component and multicritery model applied to the decision to locate a company
title_sort Multivariate analysis of principal component and multicritery model applied to the decision to locate a company
author Dantas, Régis Façanha
author_facet Dantas, Régis Façanha
author_role author
dc.contributor.author.fl_str_mv Dantas, Régis Façanha
dc.subject.por.fl_str_mv Business Location. Multicriteria optimization. Multivariate analysis.
Localização de Empresas. Otimização Multicritério. Análise Multivariada.
topic Business Location. Multicriteria optimization. Multivariate analysis.
Localização de Empresas. Otimização Multicritério. Análise Multivariada.
description Among the factors of success of a company, the choice of location is preponderant, being one of the relevant decisions of the entrepreneur, with each company, according to its business and specificities, its potential demand. In this article, we seek to have an instrument for decision-making for optimal location of companies using the multivariate analysis of main components applied with a multi-criteria optimization method. The model was structured with the creation of a multidimensional index, the Optimal Company Location Index - ILOE, through the Analysis of the Main Components. The city of Fortaleza was used for empirical investigation, representing the complexity of the economy typical of Brazilian urban centers. In this way, a framework is proposed for the decision of the retail company location decision problem, based on a set of qualitative and quantitative criteria. It is a hybrid decision support method that combines techniques from the MAUT (Multi-Attribute Utility) model with Principal Component Analysis, composed of socioeconomic dimensions present in the urban space. The empirical evidence was verified from the spatial analysis and the congruence of the location of service companies and current trade with ILOE, in a decision process whose preferences of the decision makers were revealed.
publishDate 2021
dc.date.none.fl_str_mv 2021-03-15
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://www.producaoonline.org.br/rpo/article/view/4202
10.14488/1676-1901.v21i1.4202
url https://www.producaoonline.org.br/rpo/article/view/4202
identifier_str_mv 10.14488/1676-1901.v21i1.4202
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.producaoonline.org.br/rpo/article/view/4202/2017
https://www.producaoonline.org.br/rpo/article/view/4202/2018
dc.rights.driver.fl_str_mv Copyright (c) 2021 Revista Produção Online
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Revista Produção Online
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
video/mp4
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Revista Produção Online; Vol. 21 No. 1 (2021); 203-230
Revista Produção Online; v. 21 n. 1 (2021); 203-230
1676-1901
reponame:Revista Produção Online
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
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instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Revista Produção Online
collection Revista Produção Online
repository.name.fl_str_mv Revista Produção Online - Associação Brasileira de Engenharia de Produção (ABEPRO)
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