Graphical analysis of process variation for quality control

This dissertation presents a new statistical analysis technique to analyze nested design, which is commonly used to evaluate sources of variation in a process - an effective alternative for conventional methods.

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Bibliographic Details
Main Author: Liang, Kwong.
Other Authors: Wu, Zhang
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/5975
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-59752023-03-11T17:22:22Z Graphical analysis of process variation for quality control Liang, Kwong. Wu, Zhang School of Mechanical and Production Engineering DRNTU::Engineering::Manufacturing::Quality control This dissertation presents a new statistical analysis technique to analyze nested design, which is commonly used to evaluate sources of variation in a process - an effective alternative for conventional methods. Master of Science (Computer Integrated Manufacturing) 2008-09-17T11:04:00Z 2008-09-17T11:04:00Z 2001 2001 Thesis http://hdl.handle.net/10356/5975 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Manufacturing::Quality control
spellingShingle DRNTU::Engineering::Manufacturing::Quality control
Liang, Kwong.
Graphical analysis of process variation for quality control
description This dissertation presents a new statistical analysis technique to analyze nested design, which is commonly used to evaluate sources of variation in a process - an effective alternative for conventional methods.
author2 Wu, Zhang
author_facet Wu, Zhang
Liang, Kwong.
format Theses and Dissertations
author Liang, Kwong.
author_sort Liang, Kwong.
title Graphical analysis of process variation for quality control
title_short Graphical analysis of process variation for quality control
title_full Graphical analysis of process variation for quality control
title_fullStr Graphical analysis of process variation for quality control
title_full_unstemmed Graphical analysis of process variation for quality control
title_sort graphical analysis of process variation for quality control
publishDate 2008
url http://hdl.handle.net/10356/5975
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