dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:17:57Z
dc.date.accessioned2022-10-05T17:29:21Z
dc.date.available2014-05-27T11:17:57Z
dc.date.available2022-10-05T17:29:21Z
dc.date.created2014-05-27T11:17:57Z
dc.date.issued1994-07-01
dc.identifierJournal of Quality Technology, v. 26, n. 3, p. 155-163, 1994.
dc.identifier0022-4065
dc.identifierhttp://hdl.handle.net/11449/64489
dc.identifier2-s2.0-0028467136
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3914533
dc.description.abstractThe usual practice in using a control chart to monitor a process is to take samples of size n from the process every h hours. This article considers the properties of the X̄ chart when the size of each sample depends on what is observed in the preceding sample. The idea is that the sample should be large if the sample point of the preceding sample is close to but not actually outside the control limits and small if the sample point is close to the target. The properties of the variable sample size (VSS) X̄ chart are obtained using Markov chains. The VSS X̄ chart is substantially quicker than the traditional X̄ chart in detecting moderate shifts in the process.
dc.languageeng
dc.relationJournal of Quality Technology
dc.relation2.306
dc.relation1,814
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectGraphic methods
dc.subjectMonitoring
dc.subjectPerformance
dc.subjectProcess engineering
dc.subjectRandom processes
dc.subjectSampling
dc.subjectStatistical methods
dc.subjectControl charts
dc.subjectDouble sampling
dc.subjectStandard deviation
dc.subjectStatistical control
dc.subjectVariable sample size
dc.subjectProcess control
dc.titleX̄ charts with variable sample size
dc.typeArtigo


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