Phase 1 of 2 (Preparation Phase): The fulfilment of individual customer requirements is becoming an increasingly decisive factor when considering the competitiveness of companies. The make-to-order or engineer-to-order production resulting from this not only have an impact on the manufacturing process, but also on the entire value chain of the product - starting with the raw material supplier and ending with the end customer. Compared to mass and serial production, this dynamic poses challenges for the supply chain - a continuous adaptation to requirements throughout the entire supply chain. This is no longer manageable with static optimization methods. Using real-time data and methods of Artificial Intelligence, an intelligent system is to be developed that enables a proactive and semi-automated adaptation and optimization of individual manufacturing processes, taking into account current and predicted external and internal business events and situations.
Inria - Institut national de recherche en sciences et technologies du numérique