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Dr. Susana Suarez-Fernandez de Miranda
University of Seville

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Journal article
Published: 15 April 2021 in Sustainability
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Manufacturing systems under Industry 4.0, and their transition towards Industry 5.0, take into account the Quintuple Helix innovation model, associated with the sustainable development goals (SDGs) set by the UN and Horizon 2030, in which companies focus on operational efficiency in terms of the use and minimisation of resources for the protection of the environment. In this respect, the implementation of the circular economy model, which requires engineers to acquire appropriate competencies, enabling companies to establish this model at the manufacturing level. Moreover, competence has always been a priority for both the professional and the company. In this sense, connectivism has been called a learning theory for the digital era; this is the reason why a review of the state-of-the-art developments of this paradigm focused on engineering has been carried out. In this sense, the potential of the digital transformation in instruction to formulate an engineering model based on neuro-competences is of great interest, taking the connectivist paradigm as a methodological axis. To this end, a first bibliometric analysis has been carried out to identify the drivers on which to base the design of the neuro-competencies of the instructional engineering environment and the trend towards curriculum development under dual training models. The bibliographical research carried out on the connectivist paradigm has served to identify the trends followed to date in education within the subject area of engineering. These trends have not fully taken into account the leading role of the human factor within the socio-technical cyber-physical systems of sustainable manufacturing (SCSSM). The focus was more on the technology than on the adaptation of the uniqueness of the human factor and the tasks entrusted to him, which entails an additional complexity that needs to be addressed in both academic and professional contexts. In light of the foregoing, an improvement to the acquisition and management of competencies has been proposed to the academic, professional and dual engineering contexts. It is based on the transversal inclusion of the concept of neuro-competence applied to the competence engineering (CE) model, transforming it into the neuro-competence engineering (NCE) model. The foregoing provides a better match between the characteristics of the human factor and the uniqueness of the tasks performed by the engineer, incorporating activity theory (AT), the law of variety required (LVR), the connectivist paradigm and neuroscience as a transversal driver of innovation through fractality. This proposal enables a ubiquitous and sustainable learning model throughout the entire academic and professional life cycle of the engineer, placing it sustainably at the heart of the instructional and professional cyber-physical socio-technical system, thus complying with the SDGs set by the UN and Horizon 2030.

ACS Style

Susana Suarez-Fernandez de Miranda; Francisco Aguayo-González; María Ávila-Gutiérrez; Antonio Córdoba-Roldán. Neuro-Competence Approach for Sustainable Engineering. Sustainability 2021, 13, 4389 .

AMA Style

Susana Suarez-Fernandez de Miranda, Francisco Aguayo-González, María Ávila-Gutiérrez, Antonio Córdoba-Roldán. Neuro-Competence Approach for Sustainable Engineering. Sustainability. 2021; 13 (8):4389.

Chicago/Turabian Style

Susana Suarez-Fernandez de Miranda; Francisco Aguayo-González; María Ávila-Gutiérrez; Antonio Córdoba-Roldán. 2021. "Neuro-Competence Approach for Sustainable Engineering." Sustainability 13, no. 8: 4389.

Journal article
Published: 27 June 2020 in Applied Sciences
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Engineering 4.0 environments are characterised by the digitisation, virtualisation, and connectivity of products, processes, and facilities composed of reconfigurable and adaptive socio-technical cyber-physical manufacturing systems (SCMS), in which Operator 4.0 works in real time in VUCA (volatile, uncertain, complex and ambiguous) contexts and markets. This situation gives rise to the interest in developing a framework for the conception of SCMS that allows the integration of the human factor, management, training, and development of the competencies of Operator 4.0 as fundamental aspects of the aforementioned system. The present paper is focused on answering how to conceive the adaptive manufacturing systems of Industry 4.0 through the operation, growth, and development of human talent in VUCA contexts. With this objective, exploratory research is carried, out whose contribution is specified in a framework called Design for the Human Factor in Industry 4.0 (DfHFinI4.0). From among the conceptual frameworks employed therein, the connectivist paradigm, Ashby's law of requisite variety and Vigotsky's activity theory are taken into consideration, in order to enable the affective-cognitive and timeless integration of the human factor within the SCMS. DfHFinI4.0 can be integrated into the life cycle engineering of the enterprise reference architectures, thereby obtaining manufacturing systems for Industry 4.0 focused on the human factor. The suggested framework is illustrated as a case study for the Purdue Enterprise Reference Architecture (PERA) methodology, which transforms it into PERA 4.0.

ACS Style

Susana Suarez-Fernandez De Miranda; Francisco Aguayo-González; Jorge Salguero-Gómez; María Jesús Ávila-Gutiérrez. Life Cycle Engineering 4.0: A Proposal to Conceive Manufacturing Systems for Industry 4.0 Centred on the Human Factor (DfHFinI4.0). Applied Sciences 2020, 10, 4442 .

AMA Style

Susana Suarez-Fernandez De Miranda, Francisco Aguayo-González, Jorge Salguero-Gómez, María Jesús Ávila-Gutiérrez. Life Cycle Engineering 4.0: A Proposal to Conceive Manufacturing Systems for Industry 4.0 Centred on the Human Factor (DfHFinI4.0). Applied Sciences. 2020; 10 (13):4442.

Chicago/Turabian Style

Susana Suarez-Fernandez De Miranda; Francisco Aguayo-González; Jorge Salguero-Gómez; María Jesús Ávila-Gutiérrez. 2020. "Life Cycle Engineering 4.0: A Proposal to Conceive Manufacturing Systems for Industry 4.0 Centred on the Human Factor (DfHFinI4.0)." Applied Sciences 10, no. 13: 4442.

Journal article
Published: 01 January 2017 in Procedia Manufacturing
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ACS Style

S. Suárez Fernández-Miranda; M. Marcos; M.E. Peralta; F. Aguayo. The challenge of integrating Industry 4.0 in the degree of Mechanical Engineering. Procedia Manufacturing 2017, 13, 1229 -1236.

AMA Style

S. Suárez Fernández-Miranda, M. Marcos, M.E. Peralta, F. Aguayo. The challenge of integrating Industry 4.0 in the degree of Mechanical Engineering. Procedia Manufacturing. 2017; 13 ():1229-1236.

Chicago/Turabian Style

S. Suárez Fernández-Miranda; M. Marcos; M.E. Peralta; F. Aguayo. 2017. "The challenge of integrating Industry 4.0 in the degree of Mechanical Engineering." Procedia Manufacturing 13, no. : 1229-1236.