dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorCelano, Giovanni
dc.creatorDe Magalhaes, Maysa S.
dc.creatorCosta, Antonio F. B.
dc.creatorFichera, Sergio
dc.date2014-05-20T15:31:43Z
dc.date2016-10-25T18:07:38Z
dc.date2014-05-20T15:31:43Z
dc.date2016-10-25T18:07:38Z
dc.date2011-08-01
dc.date.accessioned2017-04-06T00:23:37Z
dc.date.available2017-04-06T00:23:37Z
dc.identifierInternational Journal of Production Economics. Amsterdam: Elsevier B.V., v. 132, n. 2, p. 315-325, 2011.
dc.identifier0925-5273
dc.identifierhttp://hdl.handle.net/11449/40772
dc.identifierhttp://acervodigital.unesp.br/handle/11449/40772
dc.identifier10.1016/j.ijpe.2011.05.003
dc.identifierWOS:000292662300017
dc.identifierhttp://dx.doi.org/10.1016/j.ijpe.2011.05.003
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/883517
dc.descriptionAn economic model including the labor resource and the process stage configuration is proposed to design g charts allowing for all the design parameters to be varied in an adaptive way. A random shift size is considered during the economic design selection. The results obtained for a benchmark of 64 process stage scenarios show that the activities configuration and some process operating parameters influence the selection of the best control chart strategy: to model the random shift size, its exact distribution can be approximately fitted by a discrete distribution obtained from a relatively small sample of historical data. However, an accurate estimation of the inspection costs associated to the SPC activities is far from being achieved. An illustrative example shows the implementation of the proposed economic model in a real industrial case. (C) 2011 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationInternational Journal of Production Economics
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectStatistical quality control
dc.subjectAdaptive control charts
dc.subjectProcess stage
dc.subjectRandom shift
dc.subjectCosts
dc.titleA stochastic shift model for economically designed charts constrained by the process stage configuration
dc.typeOtro


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