S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Industrial Engineering (산업공학과) Journal Papers (저널논문_산업공학과)
Virtual metrology for run-to-run control in semiconductor manufacturing
- Kang, Pilsung; Kim, Dongil; Lee, Hyoung-joo; Doh, Seungyong; Cho, Sungzoon
- Issue Date
- PERGAMON-ELSEVIER SCIENCE LTD
- EXPERT SYSTEMS WITH APPLICATIONS; Vol.38 3; 2508-2522
- Process control; Virtual metrology; Run-to-run control; Exponentially weighted moving average controller; Semiconductor manufacturing; Photolithography; Data mining
- In semiconductor manufacturing processes, run-to-run (R2R) control is used to improve productivity by adjusting process inputs run by run. A process will be controlled based on information obtained during or after a process, including metrology values of wafers. Those metrology values, however, are usually available for only a small fraction of sampled wafers. In order to overcome the limitation, one can use virtual metrology (VM) to predict metrology values of all wafers, based on sensor data from production equipments and actual metrology values of sampled wafers. In this paper, we develop VM prediction models using various data mining techniques. We also develop a VM embedded R2R control system using the exponentially weighted moving average (EWMA) scheme. The experiments consist of two parts: (1) verifying VM prediction models with actual production equipments data, and (2) conducting simulations of the R2R control system. Our VM prediction models are found to be accurate enough to be directly implemented in actual manufacturing processes. The simulation results show that the VM embedded R2R control system improves productivity. (C) 2010 Elsevier Ltd. All rights reserved.
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