Graduate Inst. of Ind. Eng., National Taiwan Univ.Chen, ArgonArgonChenGuo, Ruey-ShanRuey-ShanGuoARGON CHENRUEY-SHAN GUO2007-04-192018-06-292007-04-192018-06-292000-06http://ntur.lib.ntu.edu.tw//handle/246246/2007041908551443In semiconductor manufacturing, post-process metrology and statistical monitoring of quality data are critical to ensure a high yield and good quality products. Effective SPC charting can detect process excursions and provide early warning on possible process faults. Therefore, it is important to design SPC charts such that process shifts, small or large, can be detected early and accurately, while the number of false alarms can be cut down to an acceptable level.application/pdf258926 bytesapplication/pdfen-US[SDGs]SDG9An effective SPC approach to monitoring semiconductor quality data with multiple variation sourcesjournal article10.1109/SMTW.2000.8831062-s2.0-84963728038http://ntur.lib.ntu.edu.tw/bitstream/246246/2007041908551443/1/00883106.pdf