DocumentCode :
1920095
Title :
Smart sampling for risk reduction and delay optimisation
Author :
Sahnoun, M´hamed ; Bettayeb, Belgacem ; Tollenaere, Michel ; Bassetto, Samuel
Author_Institution :
G-SCOP Lab., Grenoble Inst. of Technol., Grenoble, France
fYear :
2012
fDate :
19-22 March 2012
Firstpage :
1
Lastpage :
6
Abstract :
Semiconductor manufacturing processes are very long and complex. They need several hundreds individual steps to produce the final component. Early detection of potential defects or losses is a must to prevent major losses. Metrology is thus a key step in the fabrication line. Whereas a 100% inspection rate would be ideal in theory, the cost of the measurement tools hence cycle time losses due to this measurements would completely inhibit such an approach. This paper studies the impact of the reduction of the inspection sampling rate on performances of the production system. The evolution of the Wafer at Risk (W@R) is used as a performance indicator of the sampling strategy. The process-to-metrology delay is also considered in order to evaluate the risk exposure for process tools.
Keywords :
delays; inspection; measurement; optimisation; process planning; risk analysis; sampling methods; semiconductor device manufacture; delay optimisation; fabrication line; inspection sampling rate; measurement tools; metrology; potential defects early detection; process tools; process-to-metrology delay; production system; risk reduction; semiconductor manufacturing processes; smart sampling strategy; wafer at risk; Delay effects; Inspection; Optimization; Process control; Risk management; Semiconductor device measurement; control plan; smart sampling; statistical study; time delay; wafer at risk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Conference (SysCon), 2012 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-0748-2
Type :
conf
DOI :
10.1109/SysCon.2012.6189485
Filename :
6189485
Link To Document :
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