DocumentCode :
1953621
Title :
Yield and defect level prediction of designed printed circuit board assembly based on DPMO metric
Author :
Soukup, Radek
Author_Institution :
Dept. of Technol. & Meas., Univ. of West Bohemia, Pilsen, Czech Republic
fYear :
2011
fDate :
11-15 May 2011
Firstpage :
162
Lastpage :
167
Abstract :
In this paper a new prediction tool is presented, which can provide both yield and defect level predictions. The tool, which is based on DPMO (defects per million opportunities) metric, is intended for newly designed printed circuit board assemblies. It is programmed in Visual Basic for Application (VBA) and it can be operated in MS Excel environment. Yield prediction is based on so called the yield-DPMO model that is an extension of the yield prediction model, which was created in my dissertation and published in the paper [1]. The yield-DPMO model provides more outputs for quality planners then yield prediction model. The defect level prediction is based on the so called the “defect level-DPMO” model, which works on the basis of complexity based estimate, where from inputs data are determined the defect spectrums and tests coverage. The advantage of DPMO is the fact that it is fully comparable metric and it is not associated only with the certain manufacturing line. Thanks to this tool is possible to predict defect level, manufacturing yield, analyze and assess test strategy alternatives by using the estimated defects.
Keywords :
Visual BASIC; assembling; printed circuit design; printed circuit manufacture; printed circuits; spreadsheet programs; DPMO metric; MS Excel environment; VBA; Visual Basic for Application; defect level prediction; defects per million opportunities metric; printed circuit board assembly; yield level prediction; Assembly; Bills of materials; Inspection; Measurement; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics Technology (ISSE), 2011 34th International Spring Seminar on
Conference_Location :
Tratanska Lomnica
ISSN :
2161-2528
Print_ISBN :
978-1-4577-2111-3
Type :
conf
DOI :
10.1109/ISSE.2011.6053570
Filename :
6053570
Link To Document :
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