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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.
 

12:25pm

9.1 Reinforcement Learning for Efficient Scheduling in Complex Semiconductor Equipment

Doug Suerich, Terry Young, PEER Group
               

12:50

9.2 Improving Factory Scheduling with Statistical Analysis of Automatically Calculated Throughput

Holland Smith, Cabe Nicksic, INFICON FPS
 

1:15

9.3   Trace Data Analytics with Knowledge Distillation

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

1:40

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
 

2:05

Networking Break
 

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