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A Fuzzy Logic model to enhance quality management on R&D units

2019Conference object Open access
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dc.contributor.authorAbreu, António
dc.contributor.authorSantos, Ricardo
dc.contributor.authorCalado, João Manuel Ferreira
dc.contributor.authorRequeijo, José
dc.date.accessioned2020-03-02T10:08:01Z
dc.date.available2020-03-02T10:08:01Z
dc.date.issued2019
dc.description.abstractNowadays, Higher Education Institutions (HEIs), are becoming even more competitive, with the public ones, facing at the same time a greater restriction on public funding. Therefore, HEIs, have to be more effective and more efficient as well, on pursuing their own goals, which includes Research and Development (R&D) units as well. Such demands can be achieved, by enhancing R&D`s global performance. Therefore, the use of a framework such as European Foundation for Quality Management (EFQM), can bring value to an organization with the characteristics of a R&D unit. This work presents a new integrated method based on EFQM model, by using Fuzzy Logic, to enhance the organizations overall performance. The applicability of the proposed approach is demonstrated by a case study in a R&D unit, where an initial performance evaluation takes place, by using RADAR`s Logic approach. The proposed method, based on Fuzzy Logic, is then applied, followed by the identification of the strength points as well as the improvement areas, according to the EFQM framework. Then, the improvement actions with high priority are determined, followed by the correspondent action measures.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationABREU, António; [et al] – A Fuzzy Logic model to enhance Quality Management on R&D units. In ICEUBI 2019 – International Congress on Engineering, Engineering for Evolution. Covilhã, Portugal: University of Beira Interior, 2019. Pp. 1-10pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.21/11168
dc.language.isoengpt_PT
dc.subjectQuality managementpt_PT
dc.subjectFuzzy logicpt_PT
dc.subjectEFQMpt_PT
dc.titleA Fuzzy Logic model to enhance quality management on R&D unitspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceNovember 27-29, 2019 - Covilhã, Portugalpt_PT
oaire.citation.endPage10pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleICEUBI 2019 – International Congress on Engineeringpt_PT
person.familyNameAbreu
person.familyNameSantos
person.familyNameCalado
person.familyNameRequeijo
person.givenNameAntónio
person.givenNameRicardo
person.givenNameJoão
person.givenNameJosé
person.identifier1829666
person.identifier370725
person.identifier.ciencia-idF51F-F42E-3D57
person.identifier.ciencia-idC213-A238-5F53
person.identifier.ciencia-idB518-93E3-E7AB
person.identifier.ciencia-id671C-97F9-0A3B
person.identifier.orcid0000-0001-8839-5606
person.identifier.orcid0000-0001-5703-8139
person.identifier.orcid0000-0001-6628-4657
person.identifier.orcid0000-0002-2618-4165
person.identifier.ridD-3964-2014
person.identifier.ridM-9354-2018
person.identifier.ridM-4167-2013
person.identifier.scopus-author-id57218315486
person.identifier.scopus-author-id7006897277
person.identifier.scopus-author-id25029602600
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublication9312aee8-32f1-4907-966d-be2dc485f975
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relation.isAuthorOfPublication.latestForDiscovery9312aee8-32f1-4907-966d-be2dc485f975

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