DocumentCode :
235857
Title :
Reliability analysis from field data and prediction models for customer risk assessments: Case studies and strategy
Author :
Berges, Corinne ; Chandon, Yves ; Soufflet, Pierre
Author_Institution :
Freescale Semicond. SAS, Toulouse, France
fYear :
2014
fDate :
June 30 2014-July 4 2014
Firstpage :
344
Lastpage :
349
Abstract :
In the automotive industry, risk analysis are performed as soon as quality incidents with the same defect signature are reported from the field. The tools used may be the defect distribution modeling, used for the failure rate estimations required by ISO26262 standard, but adapted to the stronger constraints of quality issues. One of these constraints is the low number of failing parts on which a modeling has to be performed. Some case studies seemed to indicate that it is possible to assert the assumption of a constant failure rate when there are a small number of defects. A novel strategy to assess risk has been developed from this number of defects.
Keywords :
failure analysis; reliability; risk analysis; customer risk assessments; field data; prediction; reliability analysis; risk analysis; Assembly; Data models; Estimation; Failure analysis; Hafnium; Risk management; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Physical and Failure Analysis of Integrated Circuits (IPFA), 2014 IEEE 21st International Symposium on the
Conference_Location :
Marina Bay Sands
ISSN :
1946-1542
Print_ISBN :
978-1-4799-3931-2
Type :
conf
DOI :
10.1109/IPFA.2014.6898171
Filename :
6898171
Link To Document :
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