dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T13:28:33Z
dc.date.accessioned2022-10-05T13:26:23Z
dc.date.available2014-05-20T13:28:33Z
dc.date.available2022-10-05T13:26:23Z
dc.date.created2014-05-20T13:28:33Z
dc.date.issued2011-04-01
dc.identifierInternational Journal of Production Economics. Amsterdam: Elsevier B.V., v. 130, n. 2, p. 224-229, 2011.
dc.identifier0925-5273
dc.identifierhttp://hdl.handle.net/11449/9507
dc.identifier10.1016/j.ijpe.2010.12.021
dc.identifierWOS:000288471200011
dc.identifier6100382011052492
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3885889
dc.description.abstractThe general assumption under which the (X) over bar chart is designed is that the process mean has a constant in-control value. However, there are situations in which the process mean wanders. When it wanders according to a first-order autoregressive (AR (1)) model, a complex approach involving Markov chains and integral equation methods is used to evaluate the properties of the (X) over bar chart. In this paper, we propose the use of a pure Markov chain approach to study the performance of the (X) over bar chart. The performance of the chat (X) over bar with variable parameters and the (X) over bar with double sampling are compared. (C) 2011 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationInternational Journal of Production Economics
dc.relation4.407
dc.relation2,401
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectMarkov chain
dc.subject(X)over-bar chart
dc.subjectCorrelation
dc.subjectVariable parameter
dc.subjectDouble sampling
dc.titleVariable parameter and double sampling (X)over-bar charts in the presence of correlation: The Markov chain approach
dc.typeArtigo


Este ítem pertenece a la siguiente institución