TY - JOUR
T1 - Modified process control chart in IC fabrication using clustering analysis
AU - Tong, Lee-Ing
PY - 1998/12/1
Y1 - 1998/12/1
N2 - During the complicated production process in integrated circuit (IC) fabrication, various types of defects on a wafer surface are unavoidable. As the wafer size increases, the clustering phenomenon of the defects becomes increasingly apparent. To upgrade IC products' yield and reliability, statistical process control is feasible for tracking a manufacturing process. However, the clustered defects frequently cause many false alarms when the standard control charts for defects are used. In this study, we present a method for constructing defect control charts in processes that yield clustered defects. A case study is also evaluated, indicating that the proposed method produces satisfactory control charts for the defect data in IC fabrication.
AB - During the complicated production process in integrated circuit (IC) fabrication, various types of defects on a wafer surface are unavoidable. As the wafer size increases, the clustering phenomenon of the defects becomes increasingly apparent. To upgrade IC products' yield and reliability, statistical process control is feasible for tracking a manufacturing process. However, the clustered defects frequently cause many false alarms when the standard control charts for defects are used. In this study, we present a method for constructing defect control charts in processes that yield clustered defects. A case study is also evaluated, indicating that the proposed method produces satisfactory control charts for the defect data in IC fabrication.
KW - Cluster analysis
KW - Control charts
KW - Integrated circuits
KW - Process efficiency
UR - http://www.scopus.com/inward/record.url?scp=77955442648&partnerID=8YFLogxK
U2 - 10.1108/02656719810226519
DO - 10.1108/02656719810226519
M3 - Article
AN - SCOPUS:77955442648
VL - 15
SP - 582
EP - 598
JO - International Journal of Quality and Reliability Management
JF - International Journal of Quality and Reliability Management
SN - 0265-671X
IS - 6
ER -