dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorCosta, AFB
dc.creatorRahim, M. A.
dc.date2014-05-20T15:25:47Z
dc.date2016-10-25T18:00:21Z
dc.date2014-05-20T15:25:47Z
dc.date2016-10-25T18:00:21Z
dc.date2004-11-01
dc.date.accessioned2017-04-05T23:54:08Z
dc.date.available2017-04-05T23:54:08Z
dc.identifierQuality and Reliability Engineering International. Chichester: John Wiley & Sons Ltd, v. 20, n. 7, p. 699-708, 2004.
dc.identifier0748-8017
dc.identifierhttp://hdl.handle.net/11449/36136
dc.identifierhttp://acervodigital.unesp.br/handle/11449/36136
dc.identifier10.1002/qre.578
dc.identifierWOS:000224872100006
dc.identifierhttp://dx.doi.org/10.1002/qre.578
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/879714
dc.descriptionWhen joint (X) over bar and R charts are in use, samples of fixed size are regularly taken from the process, and their means and ranges are plotted on the (X) over bar and R charts, respectively. In this article, joint (X) over bar and R charts have been used for monitoring continuous production processes. The sampling is performed, in two stages. During the first stage, one item of the sample is inspected and, depending on the result, the sampling is interrupted if the process is found to be in control; otherwise, it goes on to the second stage, where the remaining sample items are inspected. The two-stage sampling procedure speeds up the detection of process disturbances. The proposed joint (X) over bar and R charts are easier to administer and are more efficient than the joint (X) over bar and R charts with variable sample size where the quality characteristic of interest can be evaluated either by attribute or variable. Copyright (C) 2004 John Wiley Sons, Ltd.
dc.languageeng
dc.publisherWiley-Blackwell
dc.relationQuality and Reliability Engineering International
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectstatistical process control
dc.subjectShewhart charts
dc.subjectjoint (X)over-barand R charts
dc.subjecttwo-stage sampling
dc.titleJoint (X)over-bar and R charts with two-stage samplings
dc.typeOtro


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