Artificial Intelligence for Supply Chain Management

What it is about

You learn the basics and methods of artificial intelligence with a focus on applications in supply chain management and logistics. In the end you will be able to assess AI procedures for tasks such as network design, forecasting, inventory management, procurement and agent coordination and apply them in simple projects.

What you will be able to do

Overview of AI in Supply Chain Management
Application of Machine Learning and generative AI methods
Use of agent-based AI and Human-AI interaction
Development and implementation of AI-based solutions for SCM tasks
Analysis of strengths and weaknesses of the methods

What the module consists of

VorlesungDelivery of theoretical concepts and fundamentals
Übungen / AssignmentsPractice with concrete tools and methods through weekly tasks
ProjektApplication of the learned methods to a practical problem

Teaching method

VorlesungExplanation of concepts and methods
ÜbungsaufgabenPractical application and deepening through weekly tasks
ProjektarbeitImplementation of an AI solution in a realistic scenario

Dates

SeminarArtificial Intelligence for Supply Chain Management (MGT001500, englisch) (Limited places)2 groups to choose from

ATue15:00–16:30
1100, Hörsaal ohne exp. Bühne (0501.01.100)
14× · 13.10.–26.01.
- 13.10.
- 20.10.
- 27.10.
- 03.11.
- 10.11.
- 17.11.
- 24.11.
- 01.12.
- 08.12.
- 15.12.
- 22.12.
- 12.01.
- 19.01.
- 26.01.
BWed11:30–13:00
1180, Hörsaal ohne exp. Bühne (0501.01.180)
14× · 14.10.–27.01.
- 14.10.
- 21.10.
- 28.10.
- 04.11.
- 11.11.
- 18.11.
- 25.11.
- 02.12.
- 09.12.
- 16.12.
- 23.12.
- 13.01.
- 20.01.
- 27.01.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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