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

04/2022 – ITEA Smart Systems Engineering workshop

During the ITEA Smart Systems Engineering Workshop, the AISSI project was presented by project lead Andrej Gisbrecht.

 

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12/2021 – Christmas Message

 

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11/2021 – AISSI at the Germany Singapore Business Forum Connect

Project lead Dr. Andrej Gisbrecht (Simulation Engineer at Robert Bosch GmbH) and Mr. Boon Ping Gan (Chief Executive Officer at D-SIMILAB Technologies Pte Ltd.) represented the bi-national project AISSI in the Plenary Session on 11 November 2021 at the Germany Singapore Business Forum Connect.

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Partners

 

 

 

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