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OPTIMAL platform
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OPTIMAL
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Sustainable value network resilience and competitiveness through robust and flexible production technologies
General desciption of Sustainable value network resilience and competitiveness through robust and flexible production technologies:
- Faster and more collaborative product-process design and innovation is required to keep up with global competition. In order to obtain robust, resilient and competitive value networks, the manufacturing ecosystems require data spaces with standardised data formats for the exchange of design, manufacturing, logistics and other (digital twin) product/component data to allow for real-time deep-chain planning and control for logistic information and design modifications.
- Artificial Intelligence and digital twins need to support trusted decision making by humans when reallocating manufacturing capabilities within the factory or along the value network. This includes the quantitative assessment of resilience (KPIs).
- Complex manufacturing challenges and unforeseen disruptions need to be addressed with the rapid reconfiguration and deployment of flexible production systems while assuring digitally enabled compliance to quality and value network standards, achieving robust performance. The logistics aspects (planning, delivery...) as well as production engineering aspects need to be addressed.
Comment:
The OPTIMAL approach involves various disciplines, which interact with each other in order to achieve the project objectives. Material research and photochemistry is needed to develop the suitable photoresists (MRT). Laser technology knowledge (JOR, ISE) is required for developing novel laser lithography methods, machines, and processes. The electronics finds its application in the optical based sensors for in-line monitoring, controlling the laser sources and patterning (ILC, DPX). The software engineering expertise (UPR) completes the required skills for the development of self-learning algorithms for generating the virtual photomasks. Mechanical and environmental engineering deal with the equipment and manufacturing processes and their life cycle assessment (JOR). Experts in training and communication science (ILC, UPR) will design workshops and training materials to explain and promote the developed technologies to broad public and stakeholders.