DocumentCode :
104013
Title :
Identifying Systematic Failures on Semiconductor Wafers Using ADCAS
Author :
Ooi, Melanie Po-Leen ; Sok Hong Kuan ; Ye Chow Kuang ; Huiyuan Cheng ; Sim, Eric Kwang Joo ; Demidenko, Serge N. ; Chan, Chris Wei Keong
Volume :
30
Issue :
5
fYear :
2013
fDate :
Oct. 2013
Firstpage :
44
Lastpage :
53
Abstract :
Product engineers are often called upon to use their unique mix of expertise and intuition to solve yield puzzles. Any tool that can help ease and automate the process is a welcome one. Industrial case studies demonstrate a new tool´s potential to provide automatically accurate, and potentially early, indications of underlying root cause for low-yielding wafers.
Keywords :
electronic engineering computing; failure analysis; semiconductor technology; ADCAS; low-yielding wafers; product engineers; semiconductor wafers; systematic failures; Analysis of variance; Automatic test equipment; Classification algorithms; Clustering algorithms; Fabrication; Semiconductor wafers; Systematics;
fLanguage :
English
Journal_Title :
Design & Test, IEEE
Publisher :
ieee
ISSN :
2168-2356
Type :
jour
DOI :
10.1109/MDAT.2013.2253151
Filename :
6484887
Link To Document :
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