Title
The Application And Validation Of A New Robust Windowing Method For The Poisson Yield Model
Abstract
In this paper, a simple robust method of extracting the systematic and random components of yield is presented. The method has proven to be robust in its implementation in systems to automate the analysis of wafer probe bin map data spanning several years for multiple cleanrooms and technologies. The method's ability to detect systematic yield loss is evaluated and its dependence on die size is discussed. The application of data sub-setting to the results, which allows focused analysis of yield problems, is shown to be effective.
Publication Date
1-1-2001
Publication Title
IEEE International Symposium on Semiconductor Manufacturing Conference, Proceedings
Volume
2
Number of Pages
157-160
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ASMC.2001.925640
Copyright Status
Unknown
Socpus ID
0035182907 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0035182907
STARS Citation
Langford, Rick E.; Liou, Juin J.; and Raghavan, Venkat, "The Application And Validation Of A New Robust Windowing Method For The Poisson Yield Model" (2001). Scopus Export 2000s. 524.
https://stars.library.ucf.edu/scopus2000/524