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

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.

The evaluation of enterprise supply chain intelligent manufacturing system for agricultural interconnection data based on machine learning

“…Elman neural network is an RNN with local memory units and local feedback (Avila et al, 2021), consisting of four layers: input layer, hidden layer, undertaking layer, and output layer. The undertaking layer receives feedback signals from the hidden layer, memorizes the data of the previous iteration of the hidden layer, and then inputs them to the hidden layer.…”

Industry 5.0 Beyond Technology: An Analysis Through the Lens of Business and Operations Management Literature

“…The establishment of human-robot collaboration demands a collaborative workplace (Ojstersek et al, 2021), in which personalization in labor relations with employees is a key element (Orlova, 2021). Also, it demands of workers new skills, capabilities, and competencies (Ávila-Gutiérrez et al, 2021). Technologies, such as virtual training, sensing technologies, and machine cognition, have the potential to support workers´ adaptation to I5.0 (Nahavandi, 2019).…”

Competências organizacionais para processos de manufatura na indústria 4.0: uma revisão sistemática da literatura

“…Os resultados extraídos mostraram que a falta de habilidades, conhecimentos e competências é um fato, sendo obrigatória a necessidade de treinamento nesses KETs da indústria 4.0, pelo menos em instituições de Ensino Superior para o setor de manufatura. Se os futuros trabalhadores e indústria querem estar preparados para a revolução I4.0, ambos devem trabalhar juntos sob o mesmo objetivo: promover a formação nas KETs de I4.0 com os resultados de aprendizagem, percurso e conteúdo para ter futuros trabalhadores e empresas competitivos, com as aptidões e competências exigidas pelo mundo globalizado (ROMERO et al, 2021) Os artigos de Chong et al (2018), Baethge-Kinsky (2020), Pattanapairoj et al (2021), Marinas et al (2021), Ávila-Gutiérrez et al (2021, Stawiarska et al (2021), Carlsson et al (2022) reforçam a necessidade de compreensão básica das tecnologias I4.0, tais como: digitalização, internet das coisas, robótica e big data, combinadas com a capacidade de se comunicar e trabalhar em equipe. Diante de tantas tecnologias, as organizações precisam ter clareza sobre o porquê de a digitalização ser importante, quando apropriada e quais iniciativas são benéficas.…”