040351 SE Seminar on Smart Production (MA) (2025S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 10.02.2025 09:00 to Tu 18.02.2025 12:00
- Registration is open from We 26.02.2025 09:00 to Th 27.02.2025 12:00
- Deregistration possible until Fr 14.03.2025 23:59
Details
max. 24 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 03.04. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 03.04. 15:00 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 10.04. 13:15 - 14:45 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 10.04. 15:00 - 16:30 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 08.05. 13:15 - 16:30 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 15.05. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 15.05. 15:00 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 22.05. 13:15 - 14:45 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 22.05. 15:00 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Thursday 05.06. 13:15 - 14:45 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 05.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 12.06. 13:15 - 14:45 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 12.06. 15:00 - 16:30 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
Information
Aims, contents and method of the course
This seminar "Intelligent planning of complex manufacturing systems " is designed to provide a comprehensive understanding of intelligent planning for complex manufacturing systems. We will discuss topics related to integrated planning, considering the stochastic nature of incoming customer orders in assembly-to-order production, as well as approaches to anticipate capacity restrictions and assess the performance of complex manufacturing systems. Additionally, we will examine the use of standard solvers and explore the application of machine learning (ML) in manufacturing.
Assessment and permitted materials
Minimum requirements and assessment criteria
Outline presentation (10%)
Final presentation and discussion of the topic (40%, e.g. with PowerPoint or pdf)
Term paper (50%)
Final presentation and discussion of the topic (40%, e.g. with PowerPoint or pdf)
Term paper (50%)
Examination topics
Reading list
Association in the course directory
Last modified: Fr 23.05.2025 10:25