Masters Theses

Title

Screening for noise variables

Abstract

"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.

Advisor(s)

Drain, David

Committee Member(s)

Samaranayake, V. A.
OKeefe, Matt

Department(s)

Mathematics and Statistics

Degree Name

M.S. in Applied Mathematics

Publisher

University of Missouri--Rolla

Publication Date

Summer 2007

Pagination

viii, 52 leaves

Note about bibliography

Includes bibliographical references (pages 115-117).

Rights

© 2007 Lisa Marie Trautwein, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Manufacturing processes -- Design
Noise control

Thesis Number

T 9230

Print OCLC #

236081677

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

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