Artificial Intelligence for Supply Chain Management

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.

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.

The assessment is through 5 graded homework assignments (10% each) and one final codig project (10 page report) including a presentation (50%)

Logistics and Supply Chain Management

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.