DocumentCode :
3231165
Title :
Quantifying the value of ownership of yield analysis technologies
Author :
Weber, Charles ; Sankaran, Vijay ; Scher, Gary ; Tobin, Kenneth W., Jr.
Author_Institution :
Sloan Sch. of Manage., MIT, Cambridge, MA, USA
fYear :
1999
fDate :
1999
Firstpage :
64
Lastpage :
70
Abstract :
A model based on information theory, which allows yield managers to determine the optimal portfolio of yield analysis technologies for both the R&D and volume production environments, is presented. The knowledge extraction per experimentation cycle and knowledge extraction per unit time serve as benchmarking metrics for yield learning. They enable yield managers to make objective comparisons of apparently unrelated technologies. Combinations of four yield analysis tools-electrical testing, automatic defect classification, spatial signature analysis and wafer position analysis-are examined in detail to determine the relative value of ownership of different yield analysis technologies
Keywords :
cost-benefit analysis; integrated circuit yield; production testing; automatic defect classification; benchmarking metrics; electrical testing; information theory; knowledge extraction; relative value of ownership; spatial signature analysis; volume production environments; wafer position analysis; yield analysis technologies; yield management; Benchmark testing; Data mining; Environmental management; Information analysis; Information theory; Integrated circuit technology; Production; Research and development; Research and development management; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing Conference and Workshop, 1999 IEEE/SEMI
Conference_Location :
Boston, MA
ISSN :
1078-8743
Print_ISBN :
0-7803-5217-3
Type :
conf
DOI :
10.1109/ASMC.1999.798183
Filename :
798183
Link To Document :
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