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Sustainable management of the supply chain based on fuzzy logic

dc.contributor.authorBarcellos de Paula, Luciano
dc.contributor.authorMaria Gil-Lafuente, Anna
dc.contributor.authorRezende, Aline de Castro
dc.date.accessioned2021-09-08T10:58:01Z
dc.date.available2021-09-08T10:58:01Z
dc.date.issued2021
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.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1080/01969722.2021.1910763
dc.identifier.issn0196-9722
dc.identifier.urihttp://hdl.handle.net/10400.1/17004
dc.language.isoeng
dc.peerreviewedyes
dc.publisherTAYLOR & FRANCIS INC
dc.subjectAdequacy ratio
dc.subjectDecision-making process
dc.subjectFuzzy logic
dc.subjectHamming distance
dc.subjectOWA Operators
dc.subjectSupply chain
dc.subjectSustainability
dc.subjectSustainable management
dc.subject.otherComputer Science
dc.titleSustainable management of the supply chain based on fuzzy logic
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleCybernetics and Systems
person.familyNamede Castro Rezende
person.givenNameAline
person.identifier.ciencia-id511B-B642-C8AE
person.identifier.orcid0000-0002-4269-0631
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublication5c452b3f-fdd6-4777-907a-4024808e5681
relation.isAuthorOfPublication.latestForDiscovery5c452b3f-fdd6-4777-907a-4024808e5681

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