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dc.contributor.authorBarcellos de Paula, Luciano-
dc.contributor.authorGil Lafuente, Anna Maria-
dc.contributor.authorRezende, Aline-
dc.description.abstractCompanies face a number of management challenges, and decision makers must adopt new approaches that consider sustainable development in their operations. In this context, the article aims to address sustainable supply chain management and propose solutions based on a fuzzy logic. Three distance measurement algorithms are applied to evaluate and classify suppliers in a consumer goods industry. The results demonstrate the usefulness of the algorithms in decision-making and bring a contribution to the sustainable development of companies. Furthermore, it supports future studies on sustainable management, the supply chain, and the application of algorithms to sustainability.-
dc.format.extent22 p.-
dc.publisherTaylor & Francis Group-
dc.relation.isformatofVersió postprint del document publicat a:
dc.relation.ispartofCybernetics and Systems, 2021, vol. 52, num. 7, p. 579-600-
dc.rights(c) Taylor & Francis Group, 2021-
dc.sourceArticles publicats en revistes (Empresa)-
dc.subject.classificationPresa de decisions-
dc.subject.classificationLògica borrosa-
dc.subject.classificationLogística industrial-
dc.subject.classificationDesenvolupament sostenible-
dc.subject.classificationTeoria d'operadors-
dc.subject.otherDecision making-
dc.subject.otherFuzzy logic-
dc.subject.otherBusiness logistics-
dc.subject.otherSustainable development-
dc.subject.otherOperator theory-
dc.titleSustainable Management of the Supply Chain Based on Fuzzy Logic-
Appears in Collections:Articles publicats en revistes (Empresa)

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