Measuring process yield for nonlinear profiles

Fu Kwun Wang*, Yi Cyuan Guo

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

34 Scopus citations

Abstract

Assuring the process capability in nonlinear profiles to meet the requirement is a very important task. This paper aims at evaluating the process yield for nonlinear profiles in manufacturing processes. We present the statistical properties of the estimated SpkA and obtain its lower confidence bound. This index provides an exact measure of the process yield for nonlinear profiles. A simulation study is conducted to assess the performance of the proposed method. The simulation results confirm that the estimated SpkA value is close to the target value and has the smallest standard deviation. One real example is used to demonstrate the application of the proposed approach.

Original languageEnglish
Pages (from-to)1333-1339
Number of pages7
JournalQuality and Reliability Engineering International
Volume30
Issue number8
DOIs
StatePublished - 01 12 2014
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2013 John Wiley & Sons, Ltd.

Keywords

  • Lower confidence bound
  • Nonlinear profiles
  • Process yield

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