AI for Supply Chain Management (Master Program)
(Prof. Dr. Stefan Minner)
Tuesday 15:00 - 16:30 (1100), Wednesday 11:30 - 13:00 (N1135)
Lectures for the course AI for Supply Chain Management will start on Tuesday, November 4, 2025.
Course Description
The course provides an introduction into artificial intelligence applications in supply chain management and logistics. It will cover methods and tools including machine learning, generative artificial intelligence, agentic AI, human-AI interaction and present the theoretical concepts and foundations.
Recommended prerequisites: Logistics and Supply Chain Management.
Learning Objectives
After participating in this module, students are able to understand the different concepts and methods of AI for analyzing logistics problems and providing state-of-the-art decision support. They are able to implement and apply these methods and analyze the results. Students further comprehend the weaknesses and strengths of the methods. They are able to apply the method to a practical problem in the area of supply chain management and logistics in the context of a project.
Methods
The module will give an overview of Artificial Intelligence in Supply Chain Management using lectures and introduce detailed tools to develop AI applications for various tasks such as supply chain design, forecasting and inventory management, procurement and bargaining, and agent coordination through designated exercises and assignments. Weekly assignments and homework, and a final development project will demonstrate the ability to understand and apply AI concepts and tools in supply chain management.
Grading
The assessment is through 5 graded homework assignments (10% each) and one final codig project (10 page report) including a presentation (50%).