Engineering and Production Management

IT Systems: Key Issues in Digital Manufacturing

Integrated course, 2.00 ECTS

 

Course content

• Data centered production and factory planning
• Data mining and processing in production
• Machine to Machine (M2M) and Machine to Human (M2H) communication in production
• Artificial intelligence (AI) and machine learning in production
• Digital twin
• Data Consolidation, Fog Computing and Data Streams
• Augmented and virtual reality in production
• Workshop: Future topics

Learning outcomes

After completing the course, students are able to:

• Explain methods of data-centered production and factory planning and present representative solutions
• Describe the basics of machine-to-machine (M2M) and machine-to-human (M2H) communication and illustrate them using particular examples
• Specify areas for the application of the "Digital Twin" in product development and production and apply exemplary solutions
• Understand the implications of digitization for modern production systems and apply them in practice
• Present methods of augmented and virtual reality in production and implement exemplary solutions

Recommended or required reading and other learning resources / tools

Literature:
Lecture notes; handouts; Tao, Shang, Nee, Digital Twin Driven Smart Manufacturing, Academic Press, 2019; Ong, Virtual and Augmented Reality Applications in Manufacturing, Springer, 2013; Larranaga, Atienza, Industrial Applications of Machine Learning, Taylor&Francis, 2018

Mode of delivery

Lectures and tutorials

Prerequisites and co-requisites

IT Systems: Product and Process Data

Assessment methods and criteria

Immanent Examinations