Publication Date

2015

Document Type

Dissertation/Thesis

First Advisor

Polansky, Alan M.

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Statistics

LCSH

Statistics; Cutting tools--Quality control--Research; Quality control--Charts; diagrams; etc; Mechanical wear--Quality control--Research; Manufacturing processes--Computer simulation; R (Computer program language)

Abstract

This thesis studies an approach for monitoring a manufacturing process whose quality characteristic has a linear trend that is caused by tool wear. The methodology is implemented in R and simulations are performed in R to empirically investigate the properties of the method. The simulations indicate that using residuals calculated from least squares regression analysis has the potential to be used to create a location control chart.

Comments

Advisors: Alan M. Polansky.||Committee members: Sanjib Basu; Nader Ebrahimi.

Extent

48 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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