dc.contributor | Universidade Estadual Paulista (UNESP) | |
dc.creator | Costa, Antonio F. B. | |
dc.date | 2014-05-27T11:19:46Z | |
dc.date | 2016-10-25T18:15:51Z | |
dc.date | 2014-05-27T11:19:46Z | |
dc.date | 2016-10-25T18:15:51Z | |
dc.date | 1999-10-01 | |
dc.date.accessioned | 2017-04-06T00:54:46Z | |
dc.date.available | 2017-04-06T00:54:46Z | |
dc.identifier | Journal of Quality Technology, v. 31, n. 4, p. 408-416, 1999. | |
dc.identifier | 0022-4065 | |
dc.identifier | http://hdl.handle.net/11449/65860 | |
dc.identifier | http://acervodigital.unesp.br/handle/11449/65860 | |
dc.identifier | 2-s2.0-0001563921 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/887523 | |
dc.description | Varying 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.language | eng | |
dc.relation | Journal of Quality Technology | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.subject | Adjusted Average Time to Signal | |
dc.subject | Statistical Process Control | |
dc.subject | Variable Parameters Control Charts | |
dc.subject | X̄ Control Charts | |
dc.title | X̄ Charts with Variable Parameters | |
dc.type | Otro | |