Life Cycle Engineering 4.0: A Proposal to Conceive Manufacturing Systems for Industry 4.0 Centred on the Human Factor (DfHFinI4.0)

Miranda, Susana Suarez-Fernandez de; Aguayo-González, Francisco; Salguero, Jorge; Ávila-Gutiérrez, María Jesús

doi:10.3390/app10134442

Cited by 14 publications

(22 citation statements)

References 116 publications

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“…However, even with all the progress made so far, there is still a mismatch between the characteristics of the human factor and the type of the tasks to be performed, mainly due to the technological change experienced since the fourth industrial revolution [37,66]. The NCE model, which is proposed in the following section, can bridge this gap, reducing the complexity associated with the variety of the characteristics of the human factor and the tasks to be performed, both in the academic and professional contexts, through information and communication architectures integrated in the university and in the company [67].…”

Section: Proposalmentioning

confidence: 99%

“…With this technique, electrodes can be placed on the scalp, on the cortical surface or intracerebrally, involving the analysis of the brain's electrical fields, with the placement of electrodes on the scalp being the standard EEG modality, Figure 9. [67].…”

Section: Proposalmentioning

confidence: 99%

“…In this sense, virtual reality technologies through the simulation of contexts reproduce real manufacturing conditions, so that operators or students, through haptic devices, can interact with the system to carry out analysis and predictive maintenance. In addition, there is the possibility of monitoring neurophysiological reactions through biosensors during the simulations, involving the novice professional to reach the level of expert in a shorter period of time under controlled operating conditions [67], which may be of interest to companies seeking the highest possible degree of professionalism in their engineers. This large amount of data from the monitoring of the human factor at the physiological level, mental workload and achievement of results from the realisation of the assigned task, can be integrated centrally in the cloud through the information and communication system of the company or university itself.…”

Section: Proposalmentioning

confidence: 99%

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Neuro-Competence Approach for Sustainable Engineering

et al. 2021

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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.

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Section: Proposalmentioning

confidence: 99%

Section: Proposalmentioning

confidence: 99%

Section: Proposalmentioning

confidence: 99%

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Neuro-Competence Approach for Sustainable Engineering

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“…These holistic views of AM emphasize the importance of PAM rather than just asset maintenance [1]. However, maintenance plays a key role in PAM and is also a principal actor within Industry 4.0 [15,46] and a contributor to operational performance [47,48].…”

Section: Background Literature and Hypothesis Developmentmentioning

confidence: 99%

An Analysis of Physical Asset Management Core Practices and Their Influence on Operational Performance

2020

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The commitment of organisations to physical assets management (PAM) has recently received considerable attention in theory and practice. Indeed, PAM plays a key role in asset-intensive organizations and is also considered as a principal actor within Industry 4.0. Therefore, this paper aims to examine the PAM core practices and the performance implications of integrating these practices into business, in particular by assessing their impact on operational performance. Survey data were collected from managers in 138 international and local organisations. The data was analysed using Partial Least Squares Path Modeling (PLS-PM). The study validates the second-order construct consisting of PAM latent variables, namely Strategy and Planning, Risk management, Lifecycle Delivery, Asset Information, and Asset Review. The results have shown that PAM core practices directly influence operational performance. This paper is a response to recent calls for empirical studies on the organisational approaches that can increase the success of organisations.

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“…Digital Twins (DTs) are key enabling technologies (KETs) that were created to improve the efficiency and profitability of Industry 4.0 systems [6,7].…”

Section: Introductionmentioning

confidence: 99%

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

2021

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In the Industry 4.0 era, digital tools applied to production and manufacturing activities represent a challenge for companies. Digital Twin (DT) technology is based on the integration of different “traditional” tools, such as simulation modeling and sensors, and is aimed at increasing process performance. In DTs, simulation modeling allows for the building of a digital copy of real processes, which is dynamically updated through data derived from smart objects based on sensor technologies. The use of DT within manufacturing activities is constantly increasing, as DTs are being applied in different areas, from the design phase to the operational ones. This study aims to analyze existing fields of applications of DTs for supporting safety management processes in order to evaluate the current state of the art. A bibliometric review was carried out through VOSviewer to evaluate studies and applications of DTs in the engineering and computer science areas and to identify research clusters and future trends. Next, a bibliometric and systematic review was carried out to deepen the relation between the DT approach and safety issues. The findings highlight that in recent years, DT applications have been tested and developed to support operators during normal and emergency conditions and to enhance their abilities to control safety levels.

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Life Cycle Engineering 4.0: A Proposal to Conceive Manufacturing Systems for Industry 4.0 Centred on the Human Factor (DfHFinI4.0)

Cited by 14 publications

References 116 publications

Neuro-Competence Approach for Sustainable Engineering

Neuro-Competence Approach for Sustainable Engineering

An Analysis of Physical Asset Management Core Practices and Their Influence on Operational Performance

Is Digital Twin Technology Supporting Safety Management? A Bibliometric and Systematic Review

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