Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis

Detalhes bibliográficos
Autor(a) principal: Passos,Aderson Campos
Data de Publicação: 2013
Outros Autores: Souza,Reinaldo Castro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Gestão & Produção
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2013000100001
Resumo: This paper presents a hybrid multi-criteria method developed through the combination of the Analytical Hierarchy Process (AHP) and exponential smoothing techniques applied in time series forecasting. To illustrate its use, a model was developed with the aim of creating a quality index for electric power distribution utilities. The conclusions highlight the need to take into account the results obtained in the latest months for those utilities, but giving less attention to those obtained in the earlier months. This characteristic of the problem led to the idea of incorporating the mathematical formulation of the exponential smoothing into the aggregation function of the AHP. At the end, the utility company is given a score between 0 (zero) and 10 (ten).
id UFSCAR-3_2877681fe07ba9fa8860c953c3d4be8c
oai_identifier_str oai:scielo:S0104-530X2013000100001
network_acronym_str UFSCAR-3
network_name_str Gestão & Produção
repository_id_str
spelling Defining a quality index for electric power utilities using multiple criteria decision support and time series analysisHybrid multi-criteria methodAHPExponential smoothingQuality indexElectric power distribution utilitiesReduction of interdependence between criteriaThis paper presents a hybrid multi-criteria method developed through the combination of the Analytical Hierarchy Process (AHP) and exponential smoothing techniques applied in time series forecasting. To illustrate its use, a model was developed with the aim of creating a quality index for electric power distribution utilities. The conclusions highlight the need to take into account the results obtained in the latest months for those utilities, but giving less attention to those obtained in the earlier months. This characteristic of the problem led to the idea of incorporating the mathematical formulation of the exponential smoothing into the aggregation function of the AHP. At the end, the utility company is given a score between 0 (zero) and 10 (ten).Universidade Federal de São Carlos2013-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2013000100001Gestão & Produção v.20 n.1 2013reponame:Gestão & Produçãoinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCAR10.1590/S0104-530X2013000100001info:eu-repo/semantics/openAccessPassos,Aderson CamposSouza,Reinaldo Castroeng2013-04-02T00:00:00Zoai:scielo:S0104-530X2013000100001Revistahttps://www.gestaoeproducao.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpgp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br1806-96490104-530Xopendoar:2013-04-02T00:00Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis
title Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis
spellingShingle Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis
Passos,Aderson Campos
Hybrid multi-criteria method
AHP
Exponential smoothing
Quality index
Electric power distribution utilities
Reduction of interdependence between criteria
title_short Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis
title_full Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis
title_fullStr Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis
title_full_unstemmed Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis
title_sort Defining a quality index for electric power utilities using multiple criteria decision support and time series analysis
author Passos,Aderson Campos
author_facet Passos,Aderson Campos
Souza,Reinaldo Castro
author_role author
author2 Souza,Reinaldo Castro
author2_role author
dc.contributor.author.fl_str_mv Passos,Aderson Campos
Souza,Reinaldo Castro
dc.subject.por.fl_str_mv Hybrid multi-criteria method
AHP
Exponential smoothing
Quality index
Electric power distribution utilities
Reduction of interdependence between criteria
topic Hybrid multi-criteria method
AHP
Exponential smoothing
Quality index
Electric power distribution utilities
Reduction of interdependence between criteria
description This paper presents a hybrid multi-criteria method developed through the combination of the Analytical Hierarchy Process (AHP) and exponential smoothing techniques applied in time series forecasting. To illustrate its use, a model was developed with the aim of creating a quality index for electric power distribution utilities. The conclusions highlight the need to take into account the results obtained in the latest months for those utilities, but giving less attention to those obtained in the earlier months. This characteristic of the problem led to the idea of incorporating the mathematical formulation of the exponential smoothing into the aggregation function of the AHP. At the end, the utility company is given a score between 0 (zero) and 10 (ten).
publishDate 2013
dc.date.none.fl_str_mv 2013-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2013000100001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2013000100001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0104-530X2013000100001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
publisher.none.fl_str_mv Universidade Federal de São Carlos
dc.source.none.fl_str_mv Gestão & Produção v.20 n.1 2013
reponame:Gestão & Produção
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Gestão & Produção
collection Gestão & Produção
repository.name.fl_str_mv Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv gp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br
_version_ 1750118204055748608

Registros relacionados