AISSI
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.
Project Facts
Project Lead
BOSCH
Countries
2
Partners
6
Costs
>3.4 Mio. €
Research Area
Smart Industry
Duration
36 Months
Expected Improvements
Simulated area throughput
15%
increase
Simulated area WIP level
10%
decrease
Compliance to scheduling results
10-20% increase
Cycle Time variability
15%
decrease
Equipment utilization
1-2%
increase
Latest News
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.
Partners
