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
05/2024 – Workshop and ITEA review at Nexperia in Hamburg
From May 14th to May 16th 2024, the project partner Nexperia hosted the final project workshop and the final ITEA review of the AISSI project, which started in 2021 and officially ended by end of May 2024, at the front-end wafer-fab site in Hamburg.
03/2024 – Bosch Spring School on AI in industry
The AISSI Project was present during the International AI in Industry Spring School organized by Robert Bosch GmbH.
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.
Partners
