TY - GEN
T1 - Computational model for knowledge transfer skills in industry 4.0 in an enhanced and effective way
AU - Artifice, Andreia
AU - Luis-Ferreira, Fernando
AU - Sarraipa, João
AU - Jardim-Gonçalves, Ricardo
N1 - 598649-EPP-1-2018-1-FR-EPPKA2-CBHE-JP
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PY - 2020/1/21
Y1 - 2020/1/21
N2 - The current swift pace of development is a reality that is crossing many domains in society demanding specific measures to cope with such scale of development. In the new paradigm of Industry 4.0, new competences and professional skills are needed in the most diverse quadrants of society. The importance of adequately adapt the societal systems and to promote the adequate skills is worth as much as the value we give to present and future generations. Among demanding challenges arising from this changing reality, the transfer of knowledge from academia to industry is probably the most demanding. This reality is present across diverse countries and continents and for that, pilot deployments and lessons learned should be documented and shared to promote better and effective skill development. In this context, the SHYFTE project is establishing a computational model for knowledge transfer skills in industry 4.0.
AB - The current swift pace of development is a reality that is crossing many domains in society demanding specific measures to cope with such scale of development. In the new paradigm of Industry 4.0, new competences and professional skills are needed in the most diverse quadrants of society. The importance of adequately adapt the societal systems and to promote the adequate skills is worth as much as the value we give to present and future generations. Among demanding challenges arising from this changing reality, the transfer of knowledge from academia to industry is probably the most demanding. This reality is present across diverse countries and continents and for that, pilot deployments and lessons learned should be documented and shared to promote better and effective skill development. In this context, the SHYFTE project is establishing a computational model for knowledge transfer skills in industry 4.0.
UR - http://www.scopus.com/inward/record.url?scp=85078714820&partnerID=8YFLogxK
U2 - 10.1115/IMECE2019-11393
DO - 10.1115/IMECE2019-11393
M3 - Conference contribution
AN - SCOPUS:85078714820
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Advanced Manufacturing
PB - ASME - The American Society of Mechanical Engineers
T2 - ASME 2019 International Mechanical Engineering Congress and Exposition, IMECE 2019
Y2 - 11 November 2019 through 14 November 2019
ER -