3.9 Review

Engineering education for smart 4.0 technology: a review

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s12008-020-00672-x

关键词

Engineering education; Industry 4; 0; Smart 4; 0 industry; Smart manufacturing; Educational innovation; Higher education

资金

  1. Writing Lab, TecLabs, Tecnologico de Monterrey, Mexico

向作者/读者索取更多资源

Industry 4.0(I4), defined as the integration of information and communication technology with industrial advances to develop digital factories, will transform production processes by making them more efficient, green, and flexible. Manufacturers must overcome barriers to implement this approach; one of them is the lack of qualified talent to manageI4systems. This paper is a review of the state-of-art ofI4. The goal of this research is to describe the technologies that are enablers ofI4, analyze the human talent needed and the qualifications (competencies/skills) required to manageI4systems, describe the courses and practices that leading universities in engineering and technology are teaching for developing theI4workforce, and provide a look to the future by presenting trends related to education inI4. Autonomous robots, simulation, horizontal and vertical integration, the Industrial Internet of Things, additive manufacturing, augmented reality, cybersecurity, the cloud, and Big Data and analytics are technologies considered pillars of theI4approach. Nowadays, there are universities already offering programs related toI4. These range from those aimed at presenting the concepts ofI4to those in which students learn how to handle related technologies in real work in global enterprises.I4is still evolving, and we present only a glimpse of what is required based on its current state. Continuous review of theI4environment is necessary to determine opportunely the path that it will follow and, in consequence, the needs that will emerge in areas such as curricula content, competency requirements, and technologies.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

3.9
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据