AISSI

Autonomous Integrated Scheduling for Semiconductor Industry

Project description

Digitalisation is driving increased demand for microchips and shortening the product lifecycle and the high variety of customer specific devices leads to a growing need for high-mix low-volume (HMLV) semiconductor production. The project AISSI - Autonomous Integrated Scheduling for Semiconductor Industry - proposes to source and develop, integrate and apply novel AI-based approaches. By applying reinforcement learning and knowledge graphs in a continual improvement framework for autonomous, integrated production and maintenance scheduling, competition can be outperformed in terms of efficiency, cost effectiveness and quality. --- Main Cluster: ITEA 3 | Secondary Cluster: PENTA-EURIPIDES

Project leader

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Kai Schelthoff
Robert Bosch GmbH, Germany
Project involvement AISSI
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Project publications