We are dedicated to the design and optimization of production and logistics systems. Focusing on quantitative performance analysis, we develop methods for performance evaluation and improvement of material flow, production, storage and distribution systems. We deploy a variety of modeling approaches, including queueing theory and simulations, which help us to understand and improve the behavior of stochastic systems. Additionally, we focus on the planning aspect and efficient operation of these systems to address the complex challenges of supply chain management. This includes developing control processes based on mathematical models and innovative algorithms. Finally, we are working on projects such as DONES/DEMO in the research area of fusion logistics to optimize the maintainability of fusion power plants in order to ensure their long-term profitability.

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