Variable Sampling Rate Control Charts for Monitoring Process Variance

dc.contributor.authorHughes, Christopher Scotten
dc.contributor.committeecochairArnold, Jesse C.en
dc.contributor.committeecochairReynolds, Marion R. Jr.en
dc.contributor.committeememberYe, Keyingen
dc.contributor.committeememberCoakley, Clint W.en
dc.contributor.committeememberFoutz, Roberten
dc.contributor.departmentStatisticsen
dc.date.accessioned2014-03-14T21:10:33Zen
dc.date.adate1999-05-20en
dc.date.available2014-03-14T21:10:33Zen
dc.date.issued1999-04-13en
dc.date.rdate2000-05-20en
dc.date.sdate1999-04-19en
dc.description.abstractIndustrial processes are subject to changes that can adversely affect product quality. A change in the process that increases the variability of the output of the process causes the output to be less uniform and increases the probability that individual items will not meet specifications. Statistical control charts for monitoring process variance can be used to detect an increase in the variability of the output of a process so that the situation can be repaired and product uniformity restored. Control charts that increase the sampling rate when there is evidence the variance has changed gather information more quickly and detect changes in the variance more quickly (on average) than fixed sampling rate procedures. Several variable sampling rate procedures for detecting increases in the process variance will be developed and compared with fixed sampling rate methods. A control chart for the variance is usually used with a separate control chart for the mean so that changes in the average level of the process and the variability of the process can both be detected. A simple method for applying variable sampling rate techniques to dual monitoring of mean and variance will be developed. This control chart procedure increases the sampling rate when there is evidence the mean or variance has changed so that changes in either parameter that will negatively impact product quality will be detected quickly.en
dc.description.degreePh. D.en
dc.identifier.otheretd-041999-130738en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-041999-130738/en
dc.identifier.urihttp://hdl.handle.net/10919/37643en
dc.publisherVirginia Techen
dc.relation.haspartetd.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectShewhart charten
dc.subjectintegral equationen
dc.subjectMarkov chainen
dc.subjectCUSUM charten
dc.subjectEWMA charten
dc.titleVariable Sampling Rate Control Charts for Monitoring Process Varianceen
dc.typeDissertationen
thesis.degree.disciplineStatisticsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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