The project researches on new alloy compositions dedicated to Additive Manufacturing (AM) in order to improve the mechanical performance and the competitiveness of 3D printed products.
led by Mines St-Etienne, PPM Department and TUM – Department of Mechanical Engineering

The project aims to develop a smart approach for performing tests of networked systems and thereby collecting meaningful data sets. By using the innovative machine learning method Graph Neural Network, the collected data will be processed.
led by Télécom ParisTech, INFRES and TUM Department of Informatics

The project investigates the design of data-sharing mechanisms in order to distribute the optimization of the system among the multiple actors involved in the supply chain.
led by IMT Atlantic and TUM School of Management, Logistics and Supply Chain Management

The objective of the project is to develop an innovative method for the design of reconfigurable production systems using digital production modules. The modules will integrate key aspects of the industry of the future such as interoperable production components and software solutions, artificial intelligence techniques and mathematical optimization, servitized life cycles for production equipment, and decision-making solutions.
led by Mines Saint-Etienne, IMT Atlantique and TUM Department of Mechanical Engineering

The project addresses the relationship between additive manufacturing technologies and the re-reorganization of contemporary industries including industrial re-organization, corporate re-organization, and re-organization of technology design and use.
supported by Mines Saint-Etienne and TUM Center for Technology in Society (MCTS)

The project researches on novel approaches to cope with the increasing amount of sensor capabilities and data to process given by advanced application scenarios for sensor systems.
led by IMT Atlantique and TUM Department of Electrical and Computer Engineering