Multiple criteria assessment of sustainability programs in the textile industry
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 prob...
- Autores:
-
Lombardi Netto, Antonio
Salomon, Valerio
Ortiz Barrios, Miguel Angel
Florek-Paszkowska, Anna
Petrillo, Antonella
Oliveira, Otavio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/7991
- Acceso en línea:
- https://hdl.handle.net/11323/7991
https://doi.org/10.1111/itor.12871
https://repositorio.cuc.edu.co/
- Palabra clave:
- Analytic hierarchy process
Multiple criteria decision analysis
Sustainability
Technique for order of preference by similarity to ideal solution
Textile industry
- Rights
- openAccess
- License
- CC0 1.0 Universal
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dc.title.spa.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 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 |
dc.creator.fl_str_mv |
Lombardi Netto, Antonio Salomon, Valerio Ortiz Barrios, Miguel Angel Florek-Paszkowska, Anna Petrillo, Antonella Oliveira, Otavio |
dc.contributor.author.spa.fl_str_mv |
Lombardi Netto, Antonio Salomon, Valerio Ortiz Barrios, Miguel Angel Florek-Paszkowska, Anna Petrillo, Antonella Oliveira, Otavio |
dc.subject.spa.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.issued.none.fl_str_mv |
2020-08-27 |
dc.date.accessioned.none.fl_str_mv |
2021-03-12T15:53:54Z |
dc.date.available.none.fl_str_mv |
2021-03-12T15:53:54Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
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http://purl.org/redcol/resource_type/ART |
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info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
acceptedVersion |
dc.identifier.issn.spa.fl_str_mv |
09696016 14753995 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/7991 |
dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.1111/itor.12871 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
09696016 14753995 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/7991 https://doi.org/10.1111/itor.12871 https://repositorio.cuc.edu.co/ |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.references.spa.fl_str_mv |
ABIT, 2019. Brazilian Association of Textile and Apparel Industry. Available at https://www.abit.org.br/cont/perfildo-setor (accessed May 29, 2020). Acar, E., Kiliç, M., Güner, M., 2015. Measurement of sustainability performance in textile industry by using a multicriteria decision making method. Textile and Apparel 25, 3–9. Appel, M., 2019. Life cycle assessment of production of cotton knits [in Brazilian Portuguese]. Senior Project on Environmental Engineering, Universidade Federal de Santa Catarina, Santa Catarina. Bal, H., Orkcu, H.H., Celebioglu, S., 2010. Improving the discrimination power and weights dispersion in the data envelopment analysis. Computers & Operations Research 37, 99–107. Bana e Costa, C.A., Vansnick, J., 1994. MACBETH—an interactive path towards the construction of cardinal value functions. International Transactions in Operational Research 1, 4, 489–500 Bansal, P., Des Jardine, M.R., 2014. Business sustainability: it is about time. 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Yeh, C.H., 2002. A problem-based selection of multi-attribute decision-making methods. International Transactions in Operational Research 9, 2, 807–830. Yin, R.K., 2017. Case Study Research and Applications: Design and Methods. Sage, Thousand Oaks, CA. Zavadskas, E.K., Turskis, Z., Kildiene, S., 2014. State of art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy 20, 1, 165–179 Zionts, S., 1979. MCDM—if not a Roman numeral, then what? INFORMS Journal on Applied Analytics 9, 4, 94–101 |
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Lombardi Netto, AntonioSalomon, ValerioOrtiz Barrios, Miguel AngelFlorek-Paszkowska, AnnaPetrillo, AntonellaOliveira, Otavio2021-03-12T15:53:54Z2021-03-12T15:53:54Z2020-08-270969601614753995https://hdl.handle.net/11323/7991https://doi.org/10.1111/itor.12871Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/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.Lombardi Netto, Antonio-will be generated-orcid-0000-0001-6593-9818-600Salomon, Valerio-will be generated-orcid-0000-0002-5619-5076-600Ortiz Barrios, Miguel Angel-will be generated-orcid-0000-0001-6890-7547-600Florek-Paszkowska, Anna-will be generated-orcid-0000-0003-2525-9783-600Petrillo, Antonella-will be generated-orcid-0000-0002-5154-5428-600Oliveira, Otavio-will be generated-orcid-0000-0002-5192-3644-600application/pdfengCorporación Universidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2International Transactions in Operational Researchhttps://onlinelibrary.wiley.com/doi/abs/10.1111/itor.12871Analytic hierarchy processMultiple criteria decision analysisSustainabilityTechnique for order of preference by similarity to ideal solutionTextile industryMultiple criteria assessment of sustainability programs in the textile industryArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionABIT, 2019. 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