摘要：AbstractThe digitalisation increase in industrial processes is perceived, by companies, as an opportunity to grow up their competitivity. Data are more and more accessible, potentially allowing making better decisions at all the level of the company. Then, job profiles and their required skills are changing. However, if competencies focused on software tools, programming, data analysis, simulation, virtual design, automatics and electronics becomes necessary, the initial trainings and continuous trainings are not changing as fast. Moreover, if new technologies are more available in companies, the workforce suffers of a lack of preparation. It generates risks of mistakes, improper use of tools and information, under performed activities, insufficiently informed decision.A global vision of how to train the whole industrial network is necessary to generate a progress of the whole industry. Workers must get the right skills for their activities in order to become a factor of efficiency for their workshop and consequently for the whole logistic chain. In that way, the role of the universities is to develop trainings for up-to-date needs as the industry 4.0.For this purpose, this paper introduced an overview of how to propose actual trainings on the topic of the Industry 4.0 both customized for the companies and for the learners. We detail more specifically in this paper 3 tools we develop at the University of Strasbourg: (1) a diagnostic tool to get the maturity level of companies and propose adapted learning paths. (2) a set of grids to design adapted learning path to the different work. (3) a Learning Factory to allow a learning by doing way.
关键词：KeywordsActive Learningleaning path to 4.0Engineering educationHuman factorIndustry 4.0Learning FactorySkills
