Autonomous Integrated Scheduling for Semiconductor Industry
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 in a continual improvement framework for autonomous, integrated production and maintenance scheduling, competition can be outperformed in terms of efficiency and cost effectiveness.
>3.4 Mio. €
Simulated area throughput
Simulated area WIP level
Compliance to scheduling results
Cycle Time variability
01/2024 – KIT RESEARCH TO BUSINESS Blog Article
The AISSI partner KIT (Karlsruhe Institute of Technology) has published the online article 'Mobilizing semiconductor factories with AI' on its RESEARCH TO BUSINESS website.
10/2023 – AISSI Workshop at SYSTEMA in Dresden
In the final stretch of the AISSI research project, the project partners met at SYSTEMA Dresden's premises for a workshop on the 24th of October.
09/2023 – ITEA PO Days
In addition to sparking new innovative ideas, the ITEA PO Days 2023 also offered a glimpse into the remarkable accomplishments of running and recently finished ITEA projects.