We study and design resilient, sustainable, and digital supply chains in an increasingly complex and volatile environment. Our work focuses on integrated production, logistics, and innovation systems that reconcile ecological, economic, and social objectives. We combine analytical models, data-driven methods, and simulation-based approaches with real-world case studies and pilot projects. In doing so, we address risk, regulation, and governance as well as technological and organizational innovation. A particular emphasis is placed on cooperative, circular, and platform-based business models. Emerging technologies such as artificial intelligence, digital twins, and Industrial Data Spaces are systematically integrated into planning, control, and decision-making processes. At the same time, we place people and trustworthy, legally compliant AI at the center of hybrid intelligence systems. Through close collaboration with industry, public stakeholders, and international partners, we develop future-oriented solutions for global supply chains.
