dc.creator | Ávila-Gutiérrez, María Jesús | es |
dc.creator | Aguayo-González, Francisco | es |
dc.creator | Lama-Ruiz, Juan Ramón | es |
dc.date.accessioned | 2021-04-20T11:41:36Z | |
dc.date.available | 2021-04-20T11:41:36Z | |
dc.date.issued | 2021-03 | |
dc.identifier.citation | Ávila-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.issn | 1424-8220 | es |
dc.identifier.uri | https://hdl.handle.net/11441/107458 | |
dc.description.abstract | Human 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.format | application/pdf | es |
dc.format.extent | 37 p. | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 21 (7), 2274-. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Affective workplace | es |
dc.subject | Activity theory (AT) | es |
dc.subject | Variety law (VL) | es |
dc.subject | Occupational environment | es |
dc.subject | Industry 4.0 | es |
dc.subject | Intellectual disability | es |
dc.subject | Key enabling technology (KET) | es |
dc.subject | Operator 4.0 | es |
dc.title | Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería del Diseño | es |
dc.relation.publisherversion | https://www.mdpi.com/1424-8220/21/7/2274 | es |
dc.identifier.doi | 10.3390/s21072274 | es |
dc.contributor.group | Universidad de Sevilla. TEP022: Diseño Industrial e Ingeniería del Proyecto y la Innovación | es |
idus.validador.nota | This article belongs to the Special Issue Sensing Properties and Emotions: Engineering for the Intelligent and Sustainable Optimization of the Quality of Industrial Products | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 21 | es |
dc.publication.issue | 7 | es |
dc.publication.initialPage | 2274 | es |