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Open AccessJournal ArticleDOI

Adapting Engineering Education to Industry 4.0 Vision

Selim Coşkun, +2 more
- Vol. 7, Iss: 1, pp 10
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TLDR
In this article, the authors introduce a road map consisting of three pillars describing the changes/enhancements to be conducted in the areas of curriculum development, lab concept, and student club activities.
Abstract
Industry 4.0 is originally a future vision described in the high-tech strategy of the German government that is conceived upon information and communication technologies like Cyber-Physical Systems, Internet of Things, Physical Internet, and Internet of Services to achieve a high degree of flexibility in production (individualized mass production), higher productivity rates through real-time monitoring and diagnosis, and a lower wastage rate of material in production. An important part of the tasks in the preparation for Industry 4.0 is the adaption of the higher education to the requirements of this vision, in particular the engineering education. In this work, we introduce a road map consisting of three pillars describing the changes/enhancements to be conducted in the areas of curriculum development, lab concept, and student club activities. We also report our current application of this road map at the Turkish German University, Istanbul.

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Citations
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Exponential Disruptive Technologies and the Required Skills of Industry 4.0

TL;DR: In this paper, a comprehensive literature survey covering the field of engineering, production, and management was done in multidisciplinary databases: Google Scholar, Science Direct, Scopus, Sage, Taylor & Francis, and Emerald Insight.
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Adapting Universities for Sustainability Education in Industry 4.0: Channel of Challenges and Opportunities

TL;DR: In this article, a systematic approach based on a questionnaire as well as a SWOT (strengths, weaknesses, opportunities, and threats) integrated with the analytic hierarchy process (AHP) is adopted.
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Competencies for Industry 4.0

TL;DR: The required competencies, the technologies that aid in developing them, and the methods of assessing them are reviewed, to enable intelligent factories to produce personalized output utilizing greener and more efficient processes.
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Engineering education for smart 4.0 technology: a review

TL;DR: The goal of this research is to describe the technologies that are enablers of I4, analyze the human talent needed and the qualifications required to manage I4 systems, describe the courses and practices that leading universities in engineering and technology are teaching for developing the I4 workforce, and provide a look to the future by presenting trends related to education in I4.
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Aligning Education for the Life Sciences Domain to Support Digitalization and Industry 4.0

TL;DR: A general framework for supporting education in the context of Industry 4.0 and Wageningen University, which has the highest rank in the field of Agriculture & Forestry according to influential university rankings and has a rank 59 according to Times Higher Education, is provided.
References
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Journal ArticleDOI

Cognitive constraints on multimedia learning: When presenting more material results in less understanding.

TL;DR: In this article, the authors showed that concurrent on-screen text can overload the visual information processing channel, causing learners to split their visual attention between two sources and lower transfer performance.
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Experiential Learning Processes of Exploitation and Exploration Within and Between Organizations: An Empirical Study of Product Development

TL;DR: In this article, a case study on product development within a leading Scandinavian software producer and its interorganizational collaborations with business partners suggest how experiential learning processes of exploitation and exploration within the organizations concerned generate inter-organizational exploitation.
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The Role of Management Games and Simulations in Education and Research

TL;DR: A broad look at the management gaming movement and summarizes how the field has evolved to its current state can be found in this article, where several models of experiential learning applicable to gaming are explained.
Journal ArticleDOI

Application of machine learning techniques for supply chain demand forecasting

TL;DR: The findings suggest that while recurrent neural networks and support vector machines show the best performance, their forecasting accuracy was not statistically significantly better than that of the regression model.
Journal ArticleDOI

Tangible Industry 4.0: A Scenario-Based Approach to Learning for the Future of Production

TL;DR: A Scenario-based Industry 4.0 Learning Factory concept that is built upon a tentative competency model for Industry 5.0 and the use of scenarios for problem-oriented learning of future production engineering is suggested.
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