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Martin Grunow is a Professor of Production Supply Chain Management at the Technical University of Munich (TUM). He specializes in optimizing production systems and supply chains using data-driven methods, operations research, and mathematics, applying his expertise across various sectors, including automotive, electronics, process, chemical, and food. His research encompasses AI-based real-time control systems, robust design, global value chains, and stochastic optimization, contributing significantly to the field with over 50 publications in leading international research journals. Grunow’s educational background includes a degree in industrial engineering from TU Berlin, where he also earned his PhD in optimization in 1999. After conducting research at Degussa AG in Hanau, he completed his postdoctoral teaching qualification in 2005 and later joined TU Denmark as the head of the Operations Management Department. In 2010, he assumed his current position at TUM, where he also teaches MOOCs in Quality Engineering and Lean, attracting more than 350,000 participants globally. He is actively involved in academic societies, leading the German Operations Research Society’s Supply Chain Management Section and serving as an editor for international research journals.
Technical University of Munich • Munich, Germany
Professor of Production Supply Chain Management, specializing in production optimization and supply chain strategies.