A. Kyek

Deep reinforcement learning for semiconductor production scheduling

Lenz Belzner, Thomas Bauernhansl, Alexander Knapp, 2018, 2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC).

Optimization of global production scheduling with deep reinforcement learning

Lenz Belzner, Thomas Bauernhansl, Bernd Waschneck, 2018 .

Production Scheduling in Complex Job Shops from an Industry 4.0 Perspective: A Review and Challenges in the Semiconductor Industry

Thomas Bauernhansl, Bernd Waschneck, Andreas Kyek, 2016, SAMI@iKNOW.

Regression Methods for Virtual Metrology of Layer Thickness in Chemical Vapor Deposition

Hendrik Purwins, Bernd Barak, Ahmed Nagi, 2014, IEEE/ASME Transactions on Mechatronics.

Case Study on Operator Compliance to Scheduling Decisions in Semiconductor Manufacturing

Thomas Bauernhansl, Bernd Waschneck, Andreas Kyek, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

A Scalable Deep Learning-Based Approach for Anomaly Detection in Semiconductor Manufacturing

Gian-Antonio Susto, A. Kyek, Natalie Gentner, 2021, 2021 Winter Simulation Conference (WSC).