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Session 9Smart Manufacturing

Chairs: Eric Eisenbraun, SUNY Polytechnic Institute; Jan Rothe, GLOBALFOUNDRIES; Satyajit Shinde, Samsung Austin Semiconductor

This session focuses on AI, NN and data analytics to optimize cluster tools and factory scheduling.


9.1 Reinforcement Learning for Efficient Scheduling in Complex Semiconductor Equipment

Doug Suerich, Terry Young, PEER Group


9.2 Improving Factory Scheduling with Statistical Analysis of Automatically Calculated Throughput

Holland Smith, Cabe Nicksic, INFICON FPS


9.3   Trace Data Analytics with Knowledge Distillation

Janghwan Lee, Wei Xiong, Samsung Electronics; Wonhyouk Jang, Samsung Display


9.4 Artificial Intelligence (Deep Q-learning) Based Automated Material Handling System (AMHS) and Smart Factory Solution

Young Jae Jang, Illhoe Hwang, Department of Industrial and Systems Engineering, KAIST


Networking Break

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