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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 350438.0, MPI für biologische Kybernetik / Biologische Kybernetik
Feature Selection for trouble shooting
in complex assembly lines
Authors:Pfingsten, T.; Herrmann, D.J.L.; Schnitzler, T.; Feustel, A.; Schölkopf, B.
Date of Publication (YYYY-MM-DD):2007-07
Title of Journal:IEEE Transactions on Automation Science and Engineering
Volume:4
Issue / Number:3
Start Page:465
End Page:469
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:The final properties of sophisticated products can
be affected by many unapparent dependencies within the manufacturing
process, and the products’ integrity can often only be
checked in a final measurement. Troubleshooting can therefore
be very tedious if not impossible in large assembly lines.
In this paper we show that Feature Selection is an efficient tool for
serial-grouped lines to reveal causes for irregularities in product
attributes. We compare the performance of several methods for
Feature Selection on real-world problems in mass-production of
semiconductor devices.
Note to Practitioners— We present a data based procedure
to localize flaws in large production lines: using the results of
final quality inspections and information about which machines
processed which batches, we are able to identify machines which
cause low yield.
External Publication Status:published
Document Type:Article
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:3611
URL:http://ieeexplore.ieee.org/iel5/8856/4266804/04266...
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