Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector

Detalhes bibliográficos
Autor(a) principal: Passos,Fabiana Gomes dos
Data de Publicação: 2021
Outros Autores: Nascimento,Ademar Nogueira, Fontes,Cristiano Hora de Oliveira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Production
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132021000100219
Resumo: Abstract Paper aims This work presents a multi-objective method based on goal programming associated with non-Archimedean infinitesimal (NAI) (Improved Weighted Goal Programming method, input-oriented IWGP-MCDEA-BCC). Originality The MCDEA is applied for the first time in a large agricultural company (over 11 hectares). A new method is proposed which consists of an improvement on input-oriented WGP-MCDEA-BCC approaches. Research method The performance of the proposed method was compared to the classic Data Envelopment Analysis and the Weighted sum Goal Programming methods. The case study comprises an agricultural company located in the São Francisco Valley (Brazil). Main findings The proposed method can help decision makers to improve efficiency in the production of different types of fruits. Implications for theory and practice The proposed model is capable of overcoming the deficiencies associated with classical DEA and allows the company to identify effective ways to increase productivity by reducing input costs.
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spelling Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sectorData envelopment analysisMultiple criteria data envelopment analysisVariable return to scaleSão Francisco ValleyAbstract Paper aims This work presents a multi-objective method based on goal programming associated with non-Archimedean infinitesimal (NAI) (Improved Weighted Goal Programming method, input-oriented IWGP-MCDEA-BCC). Originality The MCDEA is applied for the first time in a large agricultural company (over 11 hectares). A new method is proposed which consists of an improvement on input-oriented WGP-MCDEA-BCC approaches. Research method The performance of the proposed method was compared to the classic Data Envelopment Analysis and the Weighted sum Goal Programming methods. The case study comprises an agricultural company located in the São Francisco Valley (Brazil). Main findings The proposed method can help decision makers to improve efficiency in the production of different types of fruits. Implications for theory and practice The proposed model is capable of overcoming the deficiencies associated with classical DEA and allows the company to identify effective ways to increase productivity by reducing input costs.Associação Brasileira de Engenharia de Produção2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132021000100219Production v.31 2021reponame:Productioninstname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPRO10.1590/0103-6513.20210095info:eu-repo/semantics/openAccessPassos,Fabiana Gomes dosNascimento,Ademar NogueiraFontes,Cristiano Hora de Oliveiraeng2021-11-05T00:00:00Zoai:scielo:S0103-65132021000100219Revistahttps://www.scielo.br/j/prod/https://old.scielo.br/oai/scielo-oai.php||production@editoracubo.com.br1980-54110103-6513opendoar:2021-11-05T00:00Production - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector
title Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector
spellingShingle Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector
Passos,Fabiana Gomes dos
Data envelopment analysis
Multiple criteria data envelopment analysis
Variable return to scale
São Francisco Valley
title_short Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector
title_full Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector
title_fullStr Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector
title_full_unstemmed Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector
title_sort Goal programming associated with the non-archimedean infinitesimal: a case study applied in the agricultural sector
author Passos,Fabiana Gomes dos
author_facet Passos,Fabiana Gomes dos
Nascimento,Ademar Nogueira
Fontes,Cristiano Hora de Oliveira
author_role author
author2 Nascimento,Ademar Nogueira
Fontes,Cristiano Hora de Oliveira
author2_role author
author
dc.contributor.author.fl_str_mv Passos,Fabiana Gomes dos
Nascimento,Ademar Nogueira
Fontes,Cristiano Hora de Oliveira
dc.subject.por.fl_str_mv Data envelopment analysis
Multiple criteria data envelopment analysis
Variable return to scale
São Francisco Valley
topic Data envelopment analysis
Multiple criteria data envelopment analysis
Variable return to scale
São Francisco Valley
description Abstract Paper aims This work presents a multi-objective method based on goal programming associated with non-Archimedean infinitesimal (NAI) (Improved Weighted Goal Programming method, input-oriented IWGP-MCDEA-BCC). Originality The MCDEA is applied for the first time in a large agricultural company (over 11 hectares). A new method is proposed which consists of an improvement on input-oriented WGP-MCDEA-BCC approaches. Research method The performance of the proposed method was compared to the classic Data Envelopment Analysis and the Weighted sum Goal Programming methods. The case study comprises an agricultural company located in the São Francisco Valley (Brazil). Main findings The proposed method can help decision makers to improve efficiency in the production of different types of fruits. Implications for theory and practice The proposed model is capable of overcoming the deficiencies associated with classical DEA and allows the company to identify effective ways to increase productivity by reducing input costs.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S0103-65132021000100219
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-65132021000100219
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-6513.20210095
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 Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Production v.31 2021
reponame:Production
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 Production
collection Production
repository.name.fl_str_mv Production - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv ||production@editoracubo.com.br
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