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