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Supporting Fab Operations Using Multi-Agent Reinforcement Learning

The work here has been published during the 2024 version of the annual Advanced Semiconductor Manufacturing Conference (ASMC). You can read the abstract below, to read the full paper please fill in the information in the form on this page.

 

ABSTRACT
Over recent years semiconductor operations have grown in scope, dynamics, and complexity and consequently advanced scheduling algorithms and manufacturing engineers can no longer quickly estimate the best performing schedule. In this paper, in partnership with Micron Technology, we present how machine learning, in real time, can be used to augment and support manufacturing engineers. The presented results, obtained from production deployments, show that AI assisted scheduling can improve Key Performance Indicators with little to no downside.

 

 

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