Seeking consortium in need of Logistics, Supply Chain Management and MRO-Expertise

Fraunhofer IML (Institute for Material Flow and Logistics) has extensive expertise in the design, analysis, and optimization of logistics and value creation systems, combining applied research with real-world industrial implementation. The institute supports companies across the entire supply chain, from procurement and production to warehousing, transportation, and distribution, with a strong focus on scalable, practical solutions that can be transferred into operations.

A core area of expertise is robotics and automation, where Fraunhofer IML develops and evaluates autonomous mobile robots, robotic picking systems, and human–robot collaboration concepts for warehouses, production environments, and intralogistics. The institute works on intelligent control, navigation, and coordination of robot fleets, as well as on the integration of robotic systems into existing IT and logistics infrastructures to increase flexibility, efficiency, and robustness.

In the field of maintenance, Fraunhofer IML focuses on data-driven and predictive approaches that improve asset availability and reduce downtime. By using sensor data, digital twins, and advanced analytics, the institute develops solutions for condition monitoring, predictive maintenance, and lifecycle-oriented asset management. These approaches enable companies to move from reactive maintenance strategies toward proactive, optimized maintenance processes that are closely integrated with operational planning.

Software development is another central strength of Fraunhofer IML. The institute designs modular, interoperable logistics software solutions, including control systems, simulation and optimization tools, and decision-support platforms. A growing emphasis is placed on generative AI solutions, such as AI-assisted planning, automated process modeling, intelligent documentation, and conversational systems for operational support. By combining classical optimization methods with machine learning and generative AI, Fraunhofer IML enables more adaptive, transparent, and resilient logistics systems that can respond dynamically to changing conditions.

Overall, Fraunhofer IML aims to drive digital transformation in logistics by integrating robotics, intelligent maintenance, and advanced software solutions into holistic, future-ready logistics concepts that enhance efficiency, resilience, and sustainability.