Multiple criteria assessment of sustainability programs in the textile industry
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1111/itor.12871 http://hdl.handle.net/11449/209454 |
Resumo: | To survive in the long term, business needs to profit, controlling environmental impacts with social responsibility. Sustainability programs involve the integration of social and environmental issues in business models and organizational processes. The assessment of sustainability programs is a problem of multiple criteria decision analysis (MCDA). This work presents applications of MCDA for the assessment of sustainability programs in the textile industry. Applied methods for MCDA are analytic hierarchy process (AHP) and the technique for the order of preference by similarity to ideal solution (TOPSIS). The reasons to apply AHP and TOPSIS include providing an assessment index, ranging from 0 to 1, and that the MCDA model is expected to have more criteria than alternatives. Therefore, an application of other methods, such as data envelopment analysis, could be prejudiced. Concepts from the triple bottom line, economic, social as well as environmental criteria were inserted in the proposed model. Sustainability programs of six leading companies from the Brazilian textile industry were evaluated. The main finding of the research is that AHP and TOPSIS resulted in similar evaluations for sustainability programs. Both methods resulted in the same rank of alternatives. However, with TOPSIS, companies' sustainability indices were more disperse, varying from 0.10 to 0.92 against a range from 0.23 to 0.69 with AHP. |
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Multiple criteria assessment of sustainability programs in the textile industryanalytic hierarchy processmultiple criteria decision analysissustainabilitytechnique for order of preference by similarity to ideal solutiontextile industryTo survive in the long term, business needs to profit, controlling environmental impacts with social responsibility. Sustainability programs involve the integration of social and environmental issues in business models and organizational processes. The assessment of sustainability programs is a problem of multiple criteria decision analysis (MCDA). This work presents applications of MCDA for the assessment of sustainability programs in the textile industry. Applied methods for MCDA are analytic hierarchy process (AHP) and the technique for the order of preference by similarity to ideal solution (TOPSIS). The reasons to apply AHP and TOPSIS include providing an assessment index, ranging from 0 to 1, and that the MCDA model is expected to have more criteria than alternatives. Therefore, an application of other methods, such as data envelopment analysis, could be prejudiced. Concepts from the triple bottom line, economic, social as well as environmental criteria were inserted in the proposed model. Sustainability programs of six leading companies from the Brazilian textile industry were evaluated. The main finding of the research is that AHP and TOPSIS resulted in similar evaluations for sustainability programs. Both methods resulted in the same rank of alternatives. However, with TOPSIS, companies' sustainability indices were more disperse, varying from 0.10 to 0.92 against a range from 0.23 to 0.69 with AHP.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Estadual Julio de Mesquita Filho, Dept Prod, Ave Ariberto P Cunha 333, BR-12516410 Guaratingueta, SP, BrazilUniv Costa CUC, Dept Ind Management Agroind & Operat, 58th St 55-66, Barranquilla, ColombiaUrbanizac Los Alamos Monterr, Jiron Daniel Alomia Robles 125, Santiago De Surco 15023, PeruUniv Naples Parthenope, Engn Dept, Via Ammiraglio Ferdinando Acton 38, I-80133 Naples, NA, ItalyUniv Estadual Julio de Mesquita Filho, Dept Prod, Ave Ariberto P Cunha 333, BR-12516410 Guaratingueta, SP, BrazilFAPESP: 2017/22963-6Wiley-BlackwellUniversidade Estadual Paulista (Unesp)Univ Costa CUCUrbanizac Los Alamos MonterrUniv Naples ParthenopeLombardi Netto, Antonio [UNESP]Salomon, Valerio A. P. [UNESP]Ortiz-Barrios, Miguel A.Florek-Paszkowska, Anna K.Petrillo, AntonellaDe Oliveira, Otavio J. [UNESP]2021-06-25T12:19:08Z2021-06-25T12:19:08Z2020-09-14info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1550-1572http://dx.doi.org/10.1111/itor.12871International Transactions In Operational Research. Hoboken: Wiley, v. 28, n. 3, p. 1550-1572, 2021.0969-6016http://hdl.handle.net/11449/20945410.1111/itor.12871WOS:000568968000001Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Transactions In Operational Researchinfo:eu-repo/semantics/openAccess2024-07-02T17:37:20Zoai:repositorio.unesp.br:11449/209454Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:08:33.571384Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multiple criteria assessment of sustainability programs in the textile industry |
title |
Multiple criteria assessment of sustainability programs in the textile industry |
spellingShingle |
Multiple criteria assessment of sustainability programs in the textile industry Lombardi Netto, Antonio [UNESP] analytic hierarchy process multiple criteria decision analysis sustainability technique for order of preference by similarity to ideal solution textile industry |
title_short |
Multiple criteria assessment of sustainability programs in the textile industry |
title_full |
Multiple criteria assessment of sustainability programs in the textile industry |
title_fullStr |
Multiple criteria assessment of sustainability programs in the textile industry |
title_full_unstemmed |
Multiple criteria assessment of sustainability programs in the textile industry |
title_sort |
Multiple criteria assessment of sustainability programs in the textile industry |
author |
Lombardi Netto, Antonio [UNESP] |
author_facet |
Lombardi Netto, Antonio [UNESP] Salomon, Valerio A. P. [UNESP] Ortiz-Barrios, Miguel A. Florek-Paszkowska, Anna K. Petrillo, Antonella De Oliveira, Otavio J. [UNESP] |
author_role |
author |
author2 |
Salomon, Valerio A. P. [UNESP] Ortiz-Barrios, Miguel A. Florek-Paszkowska, Anna K. Petrillo, Antonella De Oliveira, Otavio J. [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Univ Costa CUC Urbanizac Los Alamos Monterr Univ Naples Parthenope |
dc.contributor.author.fl_str_mv |
Lombardi Netto, Antonio [UNESP] Salomon, Valerio A. P. [UNESP] Ortiz-Barrios, Miguel A. Florek-Paszkowska, Anna K. Petrillo, Antonella De Oliveira, Otavio J. [UNESP] |
dc.subject.por.fl_str_mv |
analytic hierarchy process multiple criteria decision analysis sustainability technique for order of preference by similarity to ideal solution textile industry |
topic |
analytic hierarchy process multiple criteria decision analysis sustainability technique for order of preference by similarity to ideal solution textile industry |
description |
To survive in the long term, business needs to profit, controlling environmental impacts with social responsibility. Sustainability programs involve the integration of social and environmental issues in business models and organizational processes. The assessment of sustainability programs is a problem of multiple criteria decision analysis (MCDA). This work presents applications of MCDA for the assessment of sustainability programs in the textile industry. Applied methods for MCDA are analytic hierarchy process (AHP) and the technique for the order of preference by similarity to ideal solution (TOPSIS). The reasons to apply AHP and TOPSIS include providing an assessment index, ranging from 0 to 1, and that the MCDA model is expected to have more criteria than alternatives. Therefore, an application of other methods, such as data envelopment analysis, could be prejudiced. Concepts from the triple bottom line, economic, social as well as environmental criteria were inserted in the proposed model. Sustainability programs of six leading companies from the Brazilian textile industry were evaluated. The main finding of the research is that AHP and TOPSIS resulted in similar evaluations for sustainability programs. Both methods resulted in the same rank of alternatives. However, with TOPSIS, companies' sustainability indices were more disperse, varying from 0.10 to 0.92 against a range from 0.23 to 0.69 with AHP. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-09-14 2021-06-25T12:19:08Z 2021-06-25T12:19:08Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1111/itor.12871 International Transactions In Operational Research. Hoboken: Wiley, v. 28, n. 3, p. 1550-1572, 2021. 0969-6016 http://hdl.handle.net/11449/209454 10.1111/itor.12871 WOS:000568968000001 |
url |
http://dx.doi.org/10.1111/itor.12871 http://hdl.handle.net/11449/209454 |
identifier_str_mv |
International Transactions In Operational Research. Hoboken: Wiley, v. 28, n. 3, p. 1550-1572, 2021. 0969-6016 10.1111/itor.12871 WOS:000568968000001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Transactions In Operational Research |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
1550-1572 |
dc.publisher.none.fl_str_mv |
Wiley-Blackwell |
publisher.none.fl_str_mv |
Wiley-Blackwell |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129396703232000 |