Publication
Quality 4.0 and Cognitive Engineering Applied to Quality Management Systems: A Framework
| dc.contributor.author | Carvalho, Adriana Raquel Ventura | |
| dc.contributor.author | Lima, Tânia M. | |
| dc.date.accessioned | 2024-01-26T11:10:06Z | |
| dc.date.available | 2024-01-26T11:10:06Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | In order to create high-quality products, quality engineering must be integrated across the entire product development process. To accomplish the ultimate goal, innovative approaches are required, and a Quality Management System-QMS is imperative to standardize all processes. All business areas depend on people and processes, but quality is especially dependent on them. A QMS can benefit from the application of Quality 4.0—Q4.0 and Cognitive Engineering—CE aspects to reduce the workload and cognitive capacity required from QMS specialists, using these technologies to tackle long-standing quality concerns and to re-optimize to deliver creative solutions. The decision to implement a QMS based on Q4.0 technologies is difficult to take due to the challenge that is to automatize dispersed activities. The purpose of this paper is to develop a framework that aids in the application of a Q4.0 QMS. The relationship between quality management practices and Industry 4.0 technologies that improve quality are deeply studied and connected with CE practices to develop an advanced framework, that makes it easier to overview all the dispersed activities within the manufacturing environment gathered as one, and simplify the application of new technologies to the QMS activities. The proposed framework was developed as result of this study. | pt_PT |
| dc.description.sponsorship | This work has been supported by the project INDTECH 4.0 (POCI-01-0247-FEDER-026653), co-financed by the PT2020 and COMPETE2020 programs, and the European Union through the European Regional Development Fund (ERDF). FCT. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Carvalho, A.V.; Lima, T.M. Quality 4.0 and Cognitive Engineering Applied to Quality Management Systems: A Framework. Appl. Syst. Innov. 2022, 5, 115. https://doi.org/10.3390/asi5060115 | pt_PT |
| dc.identifier.doi | 10.3390/asi5060115 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.6/14165 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.relation | Centre for Mechanical and Aerospace Science and Technologies | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Quality 4.0 | pt_PT |
| dc.subject | Quality Management System | pt_PT |
| dc.subject | Cognitive engineering | pt_PT |
| dc.subject | Industry 4.0 | pt_PT |
| dc.title | Quality 4.0 and Cognitive Engineering Applied to Quality Management Systems: A Framework | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Centre for Mechanical and Aerospace Science and Technologies | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT | |
| oaire.citation.issue | 6 | pt_PT |
| oaire.citation.startPage | 115 | pt_PT |
| oaire.citation.title | Applied System Innovation | pt_PT |
| oaire.citation.volume | 5 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Carvalho | |
| person.familyName | Lima | |
| person.givenName | Adriana | |
| person.givenName | Tânia | |
| person.identifier | 1710267 | |
| person.identifier.ciencia-id | 771E-3B60-A936 | |
| person.identifier.orcid | 0000-0002-7491-5030 | |
| person.identifier.orcid | 0000-0002-7540-3854 | |
| person.identifier.rid | V-5052-2017 | |
| person.identifier.scopus-author-id | 57214911281 | |
| person.identifier.scopus-author-id | 48661120000 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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