DocumentCode
1898102
Title
Advanced methods for analysis of lot-to-lot yield variation
Author
Pak, James ; Kittler, Richard ; Wen, Ping
Author_Institution
Submicron Dev. Center, Adv. Micro Devices Inc., Sunnyvale, CA, USA
fYear
1997
fDate
6-8 Oct 1997
Abstract
An automated system for analyzing lot-to-lot yield variation has been developed and implemented at AMD´s Submicron Development Center (SDC). The automated nature of data preparation and analysis provided an efficient and accurate means to identify process excursions and sub-par processing tools. The signal detection capability of this system has been greatly enhanced by advanced features such as interaction and spatial analyses. Furthermore, its link to the inline defect monitor and the wafer-position-tracking system (WPT) added to the robustness of the system. Quick and accurate identification of process variations has led to tightening of the yield distribution and thus increased die output
Keywords
data analysis; integrated circuit yield; production engineering computing; tracking; AMD; data preparation; die output; inline defect monitor; interaction; lot-to-lot yield variation; process excursions; process variations; signal detection capability; spatial analyses; sub-par processing tools; wafer-position-tracking system; yield distribution; Data analysis; Data engineering; Data mining; Databases; Manufacturing automation; Monitoring; Robustness; Signal analysis; Signal detection; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Semiconductor Manufacturing Conference Proceedings, 1997 IEEE International Symposium on
Conference_Location
San Francisco, CA
Print_ISBN
0-7803-3752-2
Type
conf
DOI
10.1109/ISSM.1997.664556
Filename
664556
Link To Document