TUM Chair of Supply and Value Chain Management

Our mission is to contribute to better and more sustainable solutions to the planning and execution of supply and value chain management. Better planning approaches are characterized by cost efficiency, robustness against uncertainty, volatility, and disruptions as well as the sustainable use of resources. To achieve these targets, we investigate product and information flows and build decision support models and appropriate solution approaches to address such problems. Our research and its applications deal with conceptual structures of supply chain models (e.g., network design), fundamental aspects of operations management (e.g., inventory management), and transport logistics (e.g., vehicle routing). The objective is to build an understanding of how to manage and improve the sustainable performance of supply chains via better decision making and coordination. To achieve this, we take an interdisciplinary approach, combining Computer Science, Management and Engineering. Follow our LinkedIn page to receive updates on our latest research and and job opportunities. For master's and PhD projects, reach out to us any time.