DocumentCode :
2400892
Title :
Virtual Metrology models for predicting physical measurement in semiconductor manufacturing
Author :
Ferreira, A. ; Roussy, A. ; Conde, L.
Author_Institution :
Center for Microelectron. of Provence Georges Charpak, Ecole Nat. Super. des Mines de St.-Etienne, Gardanne, France
fYear :
2009
fDate :
10-12 May 2009
Firstpage :
149
Lastpage :
154
Abstract :
The semiconductor manufacturing industry has a large-volume multistage manufacturing system. To insure the high stability and the production yield on-line a reliable wafer monitoring is required. The approach, called Virtual Metrology (VM) is defined as the prediction of metrology variables (either measurable or non measurable) using process and wafer state information. It consists in the definition and the application of some predictive and corrective models for metrology outputs (physical measurements) in function of the previous metrology outputs and of the equipment parameters of current and previous steps of fabrication. The goals of this paper are to present a methodology for VM module for individual process applications in semiconductor manufacturing and to present a case study based on industrial data.
Keywords :
integrated circuit manufacture; semiconductor device manufacture; individual process applications; industrial data; large-volume multistage manufacturing system; physical measurement prediction; semiconductor manufacturing industry; virtual metrology models; wafer monitoring; wafer state information; Current measurement; Manufacturing industries; Manufacturing systems; Metrology; Predictive models; Production; Semiconductor device manufacture; Semiconductor device modeling; Stability; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing Conference, 2009. ASMC '09. IEEE/SEMI
Conference_Location :
Berlin
ISSN :
1078-8743
Print_ISBN :
978-1-4244-3614-9
Electronic_ISBN :
1078-8743
Type :
conf
DOI :
10.1109/ASMC.2009.5155973
Filename :
5155973
Link To Document :
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