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Publicação:
Multiple criteria assessment of sustainability programs in the textile industry

dc.contributor.authorLombardi Netto, Antonio [UNESP]
dc.contributor.authorSalomon, Valerio A. P. [UNESP]
dc.contributor.authorOrtiz-Barrios, Miguel A.
dc.contributor.authorFlorek-Paszkowska, Anna K.
dc.contributor.authorPetrillo, Antonella
dc.contributor.authorDe Oliveira, Otavio J. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniv Costa CUC
dc.contributor.institutionUrbanizac Los Alamos Monterr
dc.contributor.institutionUniv Naples Parthenope
dc.date.accessioned2021-06-25T12:19:08Z
dc.date.available2021-06-25T12:19:08Z
dc.date.issued2020-09-14
dc.description.abstractTo 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.en
dc.description.affiliationUniv Estadual Julio de Mesquita Filho, Dept Prod, Ave Ariberto P Cunha 333, BR-12516410 Guaratingueta, SP, Brazil
dc.description.affiliationUniv Costa CUC, Dept Ind Management Agroind & Operat, 58th St 55-66, Barranquilla, Colombia
dc.description.affiliationUrbanizac Los Alamos Monterr, Jiron Daniel Alomia Robles 125, Santiago De Surco 15023, Peru
dc.description.affiliationUniv Naples Parthenope, Engn Dept, Via Ammiraglio Ferdinando Acton 38, I-80133 Naples, NA, Italy
dc.description.affiliationUnespUniv Estadual Julio de Mesquita Filho, Dept Prod, Ave Ariberto P Cunha 333, BR-12516410 Guaratingueta, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2017/22963-6
dc.format.extent1550-1572
dc.identifierhttp://dx.doi.org/10.1111/itor.12871
dc.identifier.citationInternational Transactions In Operational Research. Hoboken: Wiley, v. 28, n. 3, p. 1550-1572, 2021.
dc.identifier.doi10.1111/itor.12871
dc.identifier.issn0969-6016
dc.identifier.urihttp://hdl.handle.net/11449/209454
dc.identifier.wosWOS:000568968000001
dc.language.isoeng
dc.publisherWiley-Blackwell
dc.relation.ispartofInternational Transactions In Operational Research
dc.sourceWeb of Science
dc.subjectanalytic hierarchy process
dc.subjectmultiple criteria decision analysis
dc.subjectsustainability
dc.subjecttechnique for order of preference by similarity to ideal solution
dc.subjecttextile industry
dc.titleMultiple criteria assessment of sustainability programs in the textile industryen
dc.typeArtigo
dcterms.licensehttp://olabout.wiley.com/WileyCDA/Section/id-406071.html
dcterms.rightsHolderWiley-Blackwell
dspace.entity.typePublication
unesp.author.orcid0000-0002-5619-5076[2]
unesp.author.orcid0000-0002-5154-5428[5]
unesp.departmentProdução - FEGpt

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