Digitisation in Production

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

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

Contact

	Name	Contact
	Prof. Dr.-Ing. Matthias Weigold Head of Institute [Please contact the secretariat]	+49 6151 16-21877 L1\|01 109
	Benjamin Rähmer M.Eng. Former Research Associate	L6\|03 (ETA-Fabrik)

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