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Scalability of reinforcement learning methods for dispatching in semiconductor frontend fabs: a comparison of open-source models with real industry datasets

Crossref DOI link: https://doi.org/10.1007/s00170-025-16117-2

Published Online: 2025-07-26

Published Print: 2025-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Stöckermann, Patrick https://orcid.org/0000-0003-1056-8233
Südfeld, Henning

Immordino, Alessandro

Altenmüller, Thomas

Wegmann, Marc

Gebser, Martin

Schekotihin, Konstantin

Seidel, Georg

Chan, Chew Wye

Zhang, Fei Fei
Funding

Funding for this research was provided by:

Bundesministerium für Wirtschaft und Klimaschutz (13IK033)

Österreichische Forschungsförderungsgesellschaft (894072, FO999910235)
License Information

Text and Data Mining valid from 2025-07-26

Version of Record valid from 2025-07-26
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Article History

Received: 28 April 2025

Accepted: 9 July 2025

First Online: 26 July 2025

Declarations

:

: The authors declare that they have no conflict of interest.

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