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
04/2022 – ITEA Smart Systems Engineering workshop
During the ITEA Smart Systems Engineering Workshop, the AISSI project was presented by project lead Andrej Gisbrecht.
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.
Partners