Digital Teaching
Teaching in presence. Recordings will be provided via Moodle.
Course Contents
This lecture is intended to teach students of the master program how processes in production are changing due to progressive digitization. The lecture will show how agility and flexibility for
individualized production can be achieved. The basis is on the one hand the networking of production processes. It will be shown how modern information and communication infrastructures look like and which models for a standardized networking are available. On the other hand, the importance of data acquisition, handling and usage as a decisive asset in tomorrow's production is presented. Finally, the lecture gives a view on modern control mechanisms up to the question of autonomous processes in production.
After the students have successfully completed the course unit, they should be able to
1. Describe the networked, data-driven production processes of the future.
2. Recognize the benefits of networked, data-driven production processes.
3. Explain modern information and communication infrastructures.
4. Describe an integrated data and communication management in production.
5. Explain the role of digital twins for products and production machines.
6. Describe the data flow from acquisition to analysis in a consistent manner.
7. Identify the challenges of data processing and evaluation.
8. Describe, characterize, and classify the possibilities of modern production control and production adaptation.
Literature
References are given during the lecture.
Preconditions
-
Expected Number of Participants
200
Sustainability Reference of the Course Contents
The lecture will address examples from energy efficiency, energy flexibility and resource efficiency in production.
Online Offerings
Moodle
Teaching in presence. Recordings will be provided via Moodle.
Course Contents
This lecture is intended to teach students of the master program how processes in production are changing due to progressive digitization. The lecture will show how agility and flexibility for
individualized production can be achieved. The basis is on the one hand the networking of production processes. It will be shown how modern information and communication infrastructures look like and which models for a standardized networking are available. On the other hand, the importance of data acquisition, handling and usage as a decisive asset in tomorrow's production is presented. Finally, the lecture gives a view on modern control mechanisms up to the question of autonomous processes in production.
After the students have successfully completed the course unit, they should be able to
1. Describe the networked, data-driven production processes of the future.
2. Recognize the benefits of networked, data-driven production processes.
3. Explain modern information and communication infrastructures.
4. Describe an integrated data and communication management in production.
5. Explain the role of digital twins for products and production machines.
6. Describe the data flow from acquisition to analysis in a consistent manner.
7. Identify the challenges of data processing and evaluation.
8. Describe, characterize, and classify the possibilities of modern production control and production adaptation.
Literature
References are given during the lecture.
Preconditions
-
Expected Number of Participants
200
Sustainability Reference of the Course Contents
The lecture will address examples from energy efficiency, energy flexibility and resource efficiency in production.
Online Offerings
Moodle
- Lehrende: Reiner Anderl
- Lehrende: Benjamin Schleich
- Lehrende: Matthias Weigold
Semester: Verão 2023