CV Lattes
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Universidade Estadual Paulista (UNESP). Campus de Guaratinguetá. Faculdade de Engenharia (FEG) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Jorge Muniz Jr. is Full Professor at Sao Paulo State University (UNESP), Visiting Professor at the University of Birmingham (UK, 2022-2023), Associate Editor of Production Journal (2018-). He has a PhD in Engineering at UNESP (Production Engineering), with thesis awarded by the Brazilian Association of Production Engineering (ABEPRO) related to Worker Knowledge Management, and a Master's at USP (Production Engineering), with dissertation distinction related to Concurrent Engineering at Embraer. Additionally, he was an executive at the Ford Motor company. He currently works in the international research group: Social Systems and Future Manufacturing with Industry 4.0/5.0 and Knowledge Management in Production Systems. (Source: Lattes Curriculum)
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This research aims to develop a framework to guide the training of teachers and students from Basic Education and HIEs to work in Industry 4.0 (I4.0). Educate students to work in a scenario of digital transformation challenges EB. The literature on Technology, Innovation and Professional Education in the Basic (Theme F) and Higher Education indicate difficulties associated with the implem…
Industry and academia have devoted attention to implementing Industry 4.0 (I4.0) in the production of goods and services. The literature in the area addresses difficulties associated with the implementation of I4.0 in emerging economies, including national culture and worker training. This research aims to investigate the impacts of I4.0 on the Brazilian, Canadian, Chinese and English aut…
In the search for improved competitiveness, the industry has discussed and implemented several concepts related to people and processes. However, the concepts adopted for the organizations are implemented and maintained in a disjointed manner. Several authors recognize the competitive advantage role of knowledge, which is treated implicitly in traditional models of Production Management. …
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