Computational model for knowledge transfer skills in industry 4.0 in an enhanced and effective way

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationAdvanced Manufacturing
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791859384
DOIs
Publication statusPublished - 21 Jan 2020
EventASME 2019 International Mechanical Engineering Congress and Exposition, IMECE 2019 - Salt Lake City, United States
Duration: 11 Nov 201914 Nov 2019

Publication series

NameASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
PublisherAmerican Society of Mechanical Engineers (ASME)
Volume2B-2019

Conference

ConferenceASME 2019 International Mechanical Engineering Congress and Exposition, IMECE 2019
CountryUnited States
CitySalt Lake City
Period11/11/1914/11/19

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