Digital Twin Based Uncertainty Informed Time Constraint Control in Semiconductor Manufacturing

Semiconductor manufacturing, commonly described as a complex job shop, contains product-inherent constraints that amplify dispatching complexities. Most notably time constraints restrict the maximum waiting time between processes inducing the need to control the release of time constraint lots as violations lead to scrap. The proposed approach uses a fab wide digital twin in form of discrete event simulation based on knowledge graph structure and derives uncertainty informed time constraint violation probabilities through rollouts in near real time. A real-world front end semiconductor manufacturing fab serves as an ex-post validation and shows the benefits of the approach.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838845
Citations
3
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.05
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article

Digital Twin Based Uncertainty Informed Time Constraint Control in Semiconductor Manufacturing

Marvin Carl May, Lars Kiefer, Gisela Lanza
3 citations
Manufacturing Process and Optimization
1.05
article

Digital Twin Based Uncertainty Informed Time Constraint Control in Semiconductor Manufacturing

Marvin Carl May, Lars Kiefer, Gisela Lanza
article en
3 citations

Abstract

Semiconductor manufacturing, commonly described as a complex job shop, contains product-inherent constraints that amplify dispatching complexities. Most notably time constraints restrict the maximum waiting time between processes inducing the need to control the release of time constraint lots as violations lead to scrap. The proposed approach uses a fab wide digital twin in form of discrete event simulation based on knowledge graph structure and derives uncertainty informed time constraint violation probabilities through rollouts in near real time. A real-world front end semiconductor manufacturing fab serves as an ex-post validation and shows the benefits of the approach.

Karlsruhe Institute of Technology (DE)
Openalex Percentile: Top 19%
Manufacturing Process and Optimization
1.05
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