Economic-statistical design of the (X)over-bar chart used to control a wandering process mean using genetic algorithm

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorFranco, B. C.
dc.creatorCosta, A. F. B.
dc.creatorMachado, M. A. G.
dc.date2014-05-20T13:28:31Z
dc.date2016-10-25T16:48:12Z
dc.date2014-05-20T13:28:31Z
dc.date2016-10-25T16:48:12Z
dc.date2012-12-01
dc.date.accessioned2017-04-05T20:11:37Z
dc.date.available2017-04-05T20:11:37Z
dc.identifierExpert Systems With Applications. Oxford: Pergamon-Elsevier B.V. Ltd, v. 39, n. 17, p. 12961-12967, 2012.
dc.identifier0957-4174
dc.identifierhttp://hdl.handle.net/11449/9502
dc.identifierhttp://acervodigital.unesp.br/handle/11449/9502
dc.identifier10.1016/j.eswa.2012.05.034
dc.identifierWOS:000308449300022
dc.identifierhttp://dx.doi.org/10.1016/j.eswa.2012.05.034
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/857654
dc.descriptionThis research considers the process mean wanders according to a first-order autoregressive model. During the in-control period the process mean wanders around its target value, and after the assignable cause occurrence, around an off-target value. The cost model proposed by Duncan was used to select the X bar chart's parameters and the genetic algorithm to meet their optimum values. The wandering movement required a Markov chain to obtain the properties of the control chart. The autocorrelation among mean values increases the monitoring costs and reduces significantly the chart's efficiency. (c) 2012 Elsevier Ltd. All rights reserved.
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.languageeng
dc.publisherPergamon-Elsevier B.V. Ltd
dc.relationExpert Systems with Applications
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectGenetic algorithm
dc.subjectMarkov chain
dc.subject(X)over-barchart
dc.subjectEconomic design
dc.subjectAutocorrelation
dc.titleEconomic-statistical design of the (X)over-bar chart used to control a wandering process mean using genetic algorithm
dc.typeOtro


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