DocumentCode
2277171
Title
Predictive sampling approach to dynamically optimize defect density control operations
Author
Pfeffer, M. ; Oechsner, R. ; Pfitzner, L. ; Eckert, S. ; Hartmann, A. ; Gold, H. ; Biebl, G. ; Kaspar, J.
Author_Institution
Fraunhofer IISB, Erlangen, Germany
fYear
2012
fDate
15-17 May 2012
Firstpage
365
Lastpage
370
Abstract
Semiconductor manufacturing is a highly complex value-adding process, which is facing an extreme cost pressure. Currently a manufacturing cost reduction of 15 % per year has to be achieved by increased equipment and fab productivity. One contribution for achieving a cost reduction in semiconductor manufacturing is to reduce the effort for defect density control operations. In this paper, the basic concept and the main functionality of a predictive sampling concept will be described. A comprehensive overview of results using real historical data from several Infineon IC manufacturing sites will be presented and discussed. The application of the developed predictive sampling strategy provides an optimized tool control or technology control and a reduced effort for defect density control operations.
Keywords
cost reduction; quality control; sampling methods; semiconductor device manufacture; Infineon IC manufacturing sites; defect density control operations; manufacturing cost reduction; predictive sampling approach; semiconductor manufacturing; technology control; value adding process; Manufacturing; Metrology; Prediction algorithms; Process control; Prototypes; Semiconductor device modeling; Time measurement; cost reduction; predictive; productivity; sampling; wafer@risk;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Semiconductor Manufacturing Conference (ASMC), 2012 23rd Annual SEMI
Conference_Location
Saratoga Springs, NY
ISSN
1078-8743
Print_ISBN
978-1-4673-0350-7
Type
conf
DOI
10.1109/ASMC.2012.6212928
Filename
6212928
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