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

Lead

Project Lead

BOSCH

Countries

Countries

2

Partners

Partners

6

Costs

Costs

>3.4 Mio. €

Costs

Research Area

Smart Industry

Duration

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.

 

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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.

 

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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.

 

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Partners

 

 

 

Contact

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