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

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.

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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.

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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.
 

 

 

 

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Partners

 

 

 

Contact

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