9 citations · 10 across the 2 of their papers we have counts for
2 papers
cs.AI2025★ 9 cited
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets
Patrick Stöckermann, Henning Südfeld, Alessandro Immordino +7
Benchmark datasets are crucial for evaluating approaches to scheduling or dispatching in the semiconductor industry during the development and deployment phases. However, commonly…
cs.AI2023★ 1 cited
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement Learning
Pierre Tassel, Benjamin Kovács, Martin Gebser +3
Semiconductor manufacturing is a notoriously complex and costly multi-step process involving a long sequence of operations on expensive and quantity-limited equipment. Recent chip…