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
01/2023 – 20th Innovation Forum for Automation
The 20th Automation Network Dresden was held on January 26th and 27th in Dresden. Holger Brandl (SYSTEMA GmbH) presented some results of our joint research in the AISSI project.
12/2022 – Winter Simulation Conference 2022
Being efficient, just like the project autonomous integrated scheduling for semiconductor manufacturing, the project partners joined the Winter simulation conference hosted in the same city after the Singapore workshop.
12/2022 – Singapore AISSI Workshop
A complex industry such as semiconductor manufacturing sparks complex and deep discussions. Therefore, a four-day intensive workshop was organized in Singapore by our project partner D-Simlab on 6th of December 2022.
Partners
