LOAD
Logistics, Operations Management, Algorithms & Design
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.
Quantifying and analyzing the throughput rate, utilization, and reliability of system components is crucial to understand the efficiency and effectiveness of logistics processes in production and distribution centers. Our aim is to identify bottlenecks and disruptive factors, optimize processes and thereby increase the overall performance of interconnected material flow systems.
In many cases, each task or use case requires its own individual solution method. After an in-depth analysis, we model the given tasks using advanced algorithms, mathematical optimization and simulation. Our aim is to provide an application-oriented solution to the problem so that it can be transferred to the real world as a prototype.
The optimization of maintenance times is crucial for the economic efficiency of fusion power plants. An intelligent layout and improved material flow make maintenance processes more efficient. In this way, we help to minimize operational interruptions and ensure the long-term profitability of fusion power plants.