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dc.creatorÁvila-Gutiérrez, María Jesúses
dc.creatorAguayo-González, Franciscoes
dc.creatorLama-Ruiz, Juan Ramónes
dc.date.accessioned2021-04-20T11:41:36Z
dc.date.available2021-04-20T11:41:36Z
dc.date.issued2021-03
dc.identifier.citationÁvila-Gutiérrez, M.J., Aguayo-González, F. y Lama-Ruiz, J.R. (2021). Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models. Sensors, 21 (7), 2274-.
dc.identifier.issn1424-8220es
dc.identifier.urihttps://hdl.handle.net/11441/107458
dc.description.abstractHuman Factor strategy and management have been affected by the incorporation of Key Enabling Technologies (KETs) of industry 4.0, whereby operator 4.0 has been configured to address the wide variety of cooperative activities and to support skills that operate in VUCA (volatile, uncertain, complex, and ambiguous) environments under the interaction with ubiquitous interfaces on real and virtual hybrid environments of cyber-physical systems. Current human Competences-Capacities that are supported by the technological enablers could result in a radically disempowered human factor. This means that in the processes of optimization and improvement of manufacturing systems from industry 4.0 to industry 5.0, it would be necessary to establish strategies for the empowerment of the human factor, which constitute symbiotic and co-evolutionary socio-technical systems through talent, sustainability, and innovation. This paper establishes a new framework for the design and development of occupational environments 5.0 for the inclusion of singularized operators 4.0, such as individuals with special capacities and talents. A case study for workers and their inclusion in employment is proposed. This model integrates intelligent and inclusive digital solutions in the current workspaces of organizations under digital transformation.es
dc.formatapplication/pdfes
dc.format.extent37 p.es
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofSensors, 21 (7), 2274-.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAffective workplacees
dc.subjectActivity theory (AT)es
dc.subjectVariety law (VL)es
dc.subjectOccupational environmentes
dc.subjectIndustry 4.0es
dc.subjectIntellectual disabilityes
dc.subjectKey enabling technology (KET)es
dc.subjectOperator 4.0es
dc.titleFramework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Modelses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ingeniería del Diseñoes
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/21/7/2274es
dc.identifier.doi10.3390/s21072274es
dc.contributor.groupUniversidad de Sevilla. TEP022: Diseño Industrial e Ingeniería del Proyecto y la Innovaciónes
idus.validador.notaThis article belongs to the Special Issue Sensing Properties and Emotions: Engineering for the Intelligent and Sustainable Optimization of the Quality of Industrial Productses
dc.journaltitleSensorses
dc.publication.volumen21es
dc.publication.issue7es
dc.publication.initialPage2274es

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