A new multi-criteria approach for sustainable material selection problem
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/263560 |
Resumo: | Sustainable material selection is a crucial problem given the new demands of society and novel production strategies that consider the concepts of sustainability. Multi-criteria decision-making methods have been extensively used to help decision-makers select alternatives in different fields of knowledge. Nonetheless, these methods have been criticized due to the rank reversal problem, where the independence of the irrelevant alternative principle is violated after the initial decision problem is changed. Over the course of this study, we observed that the solutions that are proposed for this problem, in the context of sustainable material selection, are insufficient. Thus, we present a new material selection approach that is based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, which is immune to rank reversal. We also demonstrate the causes of rank reversal in the TOPSIS method, how the R-TOPSIS method was designed to solve them, and how it can be applied to sustainable material selection. |
id |
UFRGS-2_d9cc4355486304e9b4520da879d3f598 |
---|---|
oai_identifier_str |
oai:www.lume.ufrgs.br:10183/263560 |
network_acronym_str |
UFRGS-2 |
network_name_str |
Repositório Institucional da UFRGS |
repository_id_str |
|
spelling |
Aires, Renan Felinto de FariasFerreira, Luciano2023-08-16T03:30:40Z20222071-1050http://hdl.handle.net/10183/263560001172933Sustainable material selection is a crucial problem given the new demands of society and novel production strategies that consider the concepts of sustainability. Multi-criteria decision-making methods have been extensively used to help decision-makers select alternatives in different fields of knowledge. Nonetheless, these methods have been criticized due to the rank reversal problem, where the independence of the irrelevant alternative principle is violated after the initial decision problem is changed. Over the course of this study, we observed that the solutions that are proposed for this problem, in the context of sustainable material selection, are insufficient. Thus, we present a new material selection approach that is based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, which is immune to rank reversal. We also demonstrate the causes of rank reversal in the TOPSIS method, how the R-TOPSIS method was designed to solve them, and how it can be applied to sustainable material selection.application/pdfengSustanaibility. Basel. Vol. 14, no. 18 (Sept. 2022), [Art.] 11191, 20 p.SustentabilidadeTomada de decisãoAnálise multicritérioAdministração financeiraMulti-criteria decision-makingTOPSISR-TOPSISRank reversalSustainable material selectionA new multi-criteria approach for sustainable material selection problemEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001172933.pdf.txt001172933.pdf.txtExtracted Texttext/plain75729http://www.lume.ufrgs.br/bitstream/10183/263560/2/001172933.pdf.txt7d56cab18c7270bda0e17b5677eb2b9aMD52ORIGINAL001172933.pdfTexto completo (inglês)application/pdf331062http://www.lume.ufrgs.br/bitstream/10183/263560/1/001172933.pdf9320058eb397d2a06bc341bbeef61173MD5110183/2635602023-08-17 03:34:10.869277oai:www.lume.ufrgs.br:10183/263560Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-08-17T06:34:10Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
A new multi-criteria approach for sustainable material selection problem |
title |
A new multi-criteria approach for sustainable material selection problem |
spellingShingle |
A new multi-criteria approach for sustainable material selection problem Aires, Renan Felinto de Farias Sustentabilidade Tomada de decisão Análise multicritério Administração financeira Multi-criteria decision-making TOPSIS R-TOPSIS Rank reversal Sustainable material selection |
title_short |
A new multi-criteria approach for sustainable material selection problem |
title_full |
A new multi-criteria approach for sustainable material selection problem |
title_fullStr |
A new multi-criteria approach for sustainable material selection problem |
title_full_unstemmed |
A new multi-criteria approach for sustainable material selection problem |
title_sort |
A new multi-criteria approach for sustainable material selection problem |
author |
Aires, Renan Felinto de Farias |
author_facet |
Aires, Renan Felinto de Farias Ferreira, Luciano |
author_role |
author |
author2 |
Ferreira, Luciano |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Aires, Renan Felinto de Farias Ferreira, Luciano |
dc.subject.por.fl_str_mv |
Sustentabilidade Tomada de decisão Análise multicritério Administração financeira |
topic |
Sustentabilidade Tomada de decisão Análise multicritério Administração financeira Multi-criteria decision-making TOPSIS R-TOPSIS Rank reversal Sustainable material selection |
dc.subject.eng.fl_str_mv |
Multi-criteria decision-making TOPSIS R-TOPSIS Rank reversal Sustainable material selection |
description |
Sustainable material selection is a crucial problem given the new demands of society and novel production strategies that consider the concepts of sustainability. Multi-criteria decision-making methods have been extensively used to help decision-makers select alternatives in different fields of knowledge. Nonetheless, these methods have been criticized due to the rank reversal problem, where the independence of the irrelevant alternative principle is violated after the initial decision problem is changed. Over the course of this study, we observed that the solutions that are proposed for this problem, in the context of sustainable material selection, are insufficient. Thus, we present a new material selection approach that is based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, which is immune to rank reversal. We also demonstrate the causes of rank reversal in the TOPSIS method, how the R-TOPSIS method was designed to solve them, and how it can be applied to sustainable material selection. |
publishDate |
2022 |
dc.date.issued.fl_str_mv |
2022 |
dc.date.accessioned.fl_str_mv |
2023-08-16T03:30:40Z |
dc.type.driver.fl_str_mv |
Estrangeiro 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://hdl.handle.net/10183/263560 |
dc.identifier.issn.pt_BR.fl_str_mv |
2071-1050 |
dc.identifier.nrb.pt_BR.fl_str_mv |
001172933 |
identifier_str_mv |
2071-1050 001172933 |
url |
http://hdl.handle.net/10183/263560 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Sustanaibility. Basel. Vol. 14, no. 18 (Sept. 2022), [Art.] 11191, 20 p. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRGS instname:Universidade Federal do Rio Grande do Sul (UFRGS) instacron:UFRGS |
instname_str |
Universidade Federal do Rio Grande do Sul (UFRGS) |
instacron_str |
UFRGS |
institution |
UFRGS |
reponame_str |
Repositório Institucional da UFRGS |
collection |
Repositório Institucional da UFRGS |
bitstream.url.fl_str_mv |
http://www.lume.ufrgs.br/bitstream/10183/263560/2/001172933.pdf.txt http://www.lume.ufrgs.br/bitstream/10183/263560/1/001172933.pdf |
bitstream.checksum.fl_str_mv |
7d56cab18c7270bda0e17b5677eb2b9a 9320058eb397d2a06bc341bbeef61173 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS) |
repository.mail.fl_str_mv |
|
_version_ |
1815447836074967040 |