A time series approach to quality control

One way that a process may be said to be "out-of-control" is when a cyclical pattern exists in the observations over time. It is necessary that an accurate control chart be developed to signal when a cycle is present in the process. Two control charts have recently been developed to deal w...

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Bibliographic Details
Main Author: Dittrich, Gayle Lynn
Other Authors: Ensor, Katherine B.
Format: Others
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/1911/13492
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spelling ndltd-RICE-oai-scholarship.rice.edu-1911-134922013-10-23T04:10:12ZA time series approach to quality controlDittrich, Gayle LynnStatisticsOne way that a process may be said to be "out-of-control" is when a cyclical pattern exists in the observations over time. It is necessary that an accurate control chart be developed to signal when a cycle is present in the process. Two control charts have recently been developed to deal with this problem. One, based on the periodogram, provides a test based on a finite number of frequencies. The other method uses a test which estimates a statistic which covers all frequency values. However, both methods fail to estimate the frequency value of the cycle and are computationally difficult. A new control chart is proposed which not only covers a continuous range of frequency values, but also estimates the frequency of the cycle. It in addition is easier to understand and compute than the two other methods.Ensor, Katherine B.2009-06-04T00:37:24Z2009-06-04T00:37:24Z1991ThesisText67 p.application/pdfhttp://hdl.handle.net/1911/13492eng
collection NDLTD
language English
format Others
sources NDLTD
topic Statistics
spellingShingle Statistics
Dittrich, Gayle Lynn
A time series approach to quality control
description One way that a process may be said to be "out-of-control" is when a cyclical pattern exists in the observations over time. It is necessary that an accurate control chart be developed to signal when a cycle is present in the process. Two control charts have recently been developed to deal with this problem. One, based on the periodogram, provides a test based on a finite number of frequencies. The other method uses a test which estimates a statistic which covers all frequency values. However, both methods fail to estimate the frequency value of the cycle and are computationally difficult. A new control chart is proposed which not only covers a continuous range of frequency values, but also estimates the frequency of the cycle. It in addition is easier to understand and compute than the two other methods.
author2 Ensor, Katherine B.
author_facet Ensor, Katherine B.
Dittrich, Gayle Lynn
author Dittrich, Gayle Lynn
author_sort Dittrich, Gayle Lynn
title A time series approach to quality control
title_short A time series approach to quality control
title_full A time series approach to quality control
title_fullStr A time series approach to quality control
title_full_unstemmed A time series approach to quality control
title_sort time series approach to quality control
publishDate 2009
url http://hdl.handle.net/1911/13492
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