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Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models

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, a...

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Autores principales: Ávila-Gutiérrez, María Jesús, Aguayo-González, Francisco, Lama-Ruiz, Juan Ramón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037763/
https://www.ncbi.nlm.nih.gov/pubmed/33805015
http://dx.doi.org/10.3390/s21072274
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author Ávila-Gutiérrez, María Jesús
Aguayo-González, Francisco
Lama-Ruiz, Juan Ramón
author_facet Ávila-Gutiérrez, María Jesús
Aguayo-González, Francisco
Lama-Ruiz, Juan Ramón
author_sort Ávila-Gutiérrez, María Jesús
collection PubMed
description 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.
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spelling pubmed-80377632021-04-12 Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models Ávila-Gutiérrez, María Jesús Aguayo-González, Francisco Lama-Ruiz, Juan Ramón Sensors (Basel) Article 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. MDPI 2021-03-24 /pmc/articles/PMC8037763/ /pubmed/33805015 http://dx.doi.org/10.3390/s21072274 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Ávila-Gutiérrez, María Jesús
Aguayo-González, Francisco
Lama-Ruiz, Juan Ramón
Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models
title Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models
title_full Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models
title_fullStr Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models
title_full_unstemmed Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models
title_short Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models
title_sort framework for the development of affective and smart manufacturing systems using sensorised surrogate models
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8037763/
https://www.ncbi.nlm.nih.gov/pubmed/33805015
http://dx.doi.org/10.3390/s21072274
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