Screening for noise variables
"It is important that manufacturing processes are robust, and therefore produce the most optimal response least effected by external sources of variation such as noise factors. The current approaches for control-noise factor detection occur in the later stages of process development when process changes are very expensive. These current methods also do not consider an adequate number of potential noise factors. This research presents methods for control-noise interaction detection at early stages of experimentation and also provides a method for detecting control-noise factors in historical data"--Abstract, leaf iii.
Samaranayake, V. A.
Mathematics and Statistics
M.S. in Applied Mathematics
University of Missouri--Rolla
viii, 52 leaves
© 2007 Lisa Marie Trautwein, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Manufacturing processes -- Design
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Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b6430778~S5
Trautwein, Lisa, "Screening for noise variables" (2007). Masters Theses. 5963.