dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:19:46Z
dc.date.accessioned2022-10-05T17:39:26Z
dc.date.available2014-05-27T11:19:46Z
dc.date.available2022-10-05T17:39:26Z
dc.date.created2014-05-27T11:19:46Z
dc.date.issued1999-10-01
dc.identifierJournal of Quality Technology, v. 31, n. 4, p. 408-416, 1999.
dc.identifier0022-4065
dc.identifierhttp://hdl.handle.net/11449/65860
dc.identifier2-s2.0-0001563921
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3915725
dc.description.abstractVarying the parameters of the X̄ chart has been explored extensively in recent years. In this paper, we extend the study of the X̄ chart with variable parameters to include variable action limits. The action limits establish whether the control should be relaxed or not. When the X̄ falls near the target, the control is relaxed so that there will be more time before the next sample and/or the next sample will be smaller than usual. When the X̄ falls far from the target but not in the action region, the control is tightened so that there is less time before the next sample and/or the next sample will be larger than usual. The goal is to draw the action limits wider than usual when the control is relaxed and narrower than usual when the control is tightened. This new feature then makes the X̄ chart more powerful than the CUSUM scheme in detecting shifts in the process mean.
dc.languageeng
dc.relationJournal of Quality Technology
dc.relation2.306
dc.relation1,814
dc.rightsAcesso restrito
dc.sourceScopus
dc.subjectAdjusted Average Time to Signal
dc.subjectStatistical Process Control
dc.subjectVariable Parameters Control Charts
dc.subjectX̄ Control Charts
dc.titleX̄ Charts with Variable Parameters
dc.typeArtigo


Este ítem pertenece a la siguiente institución