Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/43391

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Campo DCValorIdioma
dc.contributor.authorCruz, H.por
dc.contributor.authorBroega, A. C.por
dc.contributor.authorAmorim, M. T. Pessoa depor
dc.date.accessioned2016-12-12T11:53:27Z-
dc.date.available2016-12-12T11:53:27Z-
dc.date.issued2017-
dc.date.submitted2016-10-20-
dc.identifier.isbn9781138713741por
dc.identifier.urihttps://hdl.handle.net/1822/43391-
dc.description.abstractThe Apparel Industry is one of the most polluting industries due to the amount of waste that is created throughout the production process. It is essential to study this process to identify the problem, the causes and to propose solutions for a sustainable approach in this sector. This paper presents an exploratory study on the management of textile waste in Portugal in general and more specifically, through a case study in a confection clothing company.por
dc.description.sponsorshipFEDER funds through the Competitivity Factors Operational Programme - COMPETE and by national funds through FCT – Foundation for Science and Technology within the scope of the project POCI-01-0145-FEDER-007136”por
dc.language.isoengpor
dc.publisherCRC Press/Balkemapor
dc.rightsopenAccesspor
dc.subjectWaste Managementpor
dc.subjectSustainability in Fashionpor
dc.titleSustainability in fashion: A study of clean waste management within a clothing companypor
dc.typeconferencePaper-
dc.peerreviewedyespor
sdum.publicationstatusinfo:eu-repo/semantics/acceptedVersionpor
oaire.citationConferenceDate20 Out. - 22 Out. 2016por
sdum.event.typeconferencepor
oaire.citationStartPage227por
oaire.citationEndPage232por
oaire.citationConferencePlaceLisboa, Portugalpor
oaire.citationTitleInternational Conference on Sustainable Smart Manufacturing (S2M, 2016)por
dc.identifier.doi10.1201/9781315198101-46por
dc.subject.fosCiências Sociais::Outras Ciências Sociaispor
dc.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
sdum.conferencePublicationInternational Conference on Sustainable Smart Manufacturing (S2M, 2016)por
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