Digitisation in Production (DiP)

This lecture provides master's students with an overview of the transformation processes in production caused by advancing digitalization. Practical case studies demonstrate how agility and flexibility can be used to successfully implement bespoke production. Ground is set with the fundamentals of Data Networks within production processes. In addition, the characteristics of modern information and communication infrastructures and available models for standardized networking are discussed. Another focus is on the importance of data collection, handling, and use as a crucial asset in future data-driven production. Finally, an overview of modern control mechanisms is provided, including the issue of autonomous processes in production.

Organizational

Event-type Lecture (Master)
Cycle Sumer semester
Time frame 6 Credit Points in Full-Time Study
Language German
Dates Wednesdays 8:00 a.m. – 11:20 a.m.
Dates, content, and announcements will be communicated via Moodle (opens in new tab).
Lecturer Prof. Dr.-Ing. M. Weigold
Prof. Dr.-Ing. habil. Benjamin Schleich (opens in new tab)
Assistants Benjamin Rähmer M.Eng.
Niklas Bönisch M. Sc. (opens in new tab)
Kooperation Product Life Cycle Management PLCM (opens in new tab)

Registration

Registration process TUCaN (opens in new tab)

Exam

Examination notes Examination format:
Written final exam
Date, Time, Location
To be announced on Moodle (opens in new tab)

Aids:
Non-programmable calculator without communication interface
Registration:
TUCaN (opens in new tab)(please note the registration deadline!)

Repeat opportunity:
If not passed by the end of the following winter semester
Contents:
Contents of the lectures and exercises
Announcement of grades Grades will be announced via TUCaN after correction.

Content

Aims After successfully completing this learning unit, students should be able to
  • Understand and describe the product development process and how data is generated within it.
  • Describe the networked, data-driven production processes of the future
  • Recognize the benefits of networked, data-driven production processes.
  • Describe the development of Industry 4.0 and its components.
  • Describe modern information and communication infrastructures.
  • Describe end-to-end data and communication management in production.
  • Explain the role of digital twins for products and production machines.
  • Describe the data flow from acquisition to analysis end-to-end.
  • Identify the challenges of data processing and evaluation.
  • Describe, characterize, and classify the possibilities of modern production control and production adaptation.
Contents
  • Data-driven production processes
  • Fundamentals and digitization in the product development process
  • RAMI 4.0
  • Administration shell
  • Digital twin
  • OPC UA
  • IT & OT security
  • Data acquisition
  • Data processing
  • Control of complex systems and lines
  • Energy-flexible production planning and control
  • CO2 accounting
  • Automation and autonomy
Skript Notes at the beginning of the lecture
Projects REED | REsponsitive and REconfigurable value network for the manufacture of bulky parts
EuProGigant | European Production Giganet for calamity-reducing self-orchestration of value creation and learning ecosystems
CliCE-DiPP | Climate-neutral Circular Economy enabled by Digital Product Carbon Pass
Publications Nachhaltigkeit durch Digitalisierung im Maschinenbau (opens in new tab)
Ein praxisorientierter Leitfaden

Contact

  Name Working area(s) Contact
Prof. Dr.-Ing. Matthias Weigold
Head of Institute [Please contact the secretariat]
+49 6151 16-21877
L1|01 109
Benjamin Rähmer M.Eng.
ETA | Energy Technologies and Applications in Production
+49 6151 8229-680
L6|03 (ETA-Fabrik) 202