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A global scheme for controlling the mean and standard deviation of a process based on the optimal design of gauges

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A global scheme for controlling the mean and standard deviation of a process based on the optimal design of gauges

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dc.contributor.author Mosquera-Restrepo, Jaime es_ES
dc.contributor.author Aparisi García, Francisco José es_ES
dc.contributor.author Kahn Epprecht, Eugenio es_ES
dc.date.accessioned 2020-02-14T21:02:31Z
dc.date.available 2020-02-14T21:02:31Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0748-8017 es_ES
dc.identifier.uri http://hdl.handle.net/10251/136960
dc.description.abstract [EN] Control charts for variables are a reference tool for the statistical monitoring of a quantitative variable. However, there are processes in which the exact measurement of the variable is highly complex or costly. In these cases, one option is to base the monitoring on the number of units that are classified by a gauge as being above, below, or between a pair of reference limits. With this approach, the process control achieves the economy and agility of control by attributes. In the literature, one can find different alternatives to such schemes. In this paper, a more general formulation is introduced that subsumes many of the previously proposed schemes into a new control scheme by means of an additional parameter. Through a specially designed optimization procedure, it is possible to obtain the parameters that maximize the scheme's performance against a specified process shift. es_ES
dc.language Inglés es_ES
dc.publisher John Wiley & Sons es_ES
dc.relation.ispartof Quality and Reliability Engineering International es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Control chart es_ES
dc.subject Gauge es_ES
dc.subject Grouped data es_ES
dc.subject Statistical process control es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title A global scheme for controlling the mean and standard deviation of a process based on the optimal design of gauges es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/qre.2282 es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Mosquera-Restrepo, J.; Aparisi García, FJ.; Kahn Epprecht, E. (2018). A global scheme for controlling the mean and standard deviation of a process based on the optimal design of gauges. Quality and Reliability Engineering International. 34(5):718-730. https://doi.org/10.1002/qre.2282 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1002/qre.2282 es_ES
dc.description.upvformatpinicio 718 es_ES
dc.description.upvformatpfin 730 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 34 es_ES
dc.description.issue 5 es_ES
dc.relation.pasarela S\353905 es_ES
dc.description.references Aparisi, F., Epprecht, E. K., & Mosquera, J. (2017). Statistical Process Control Based on Optimum Gages. Quality and Reliability Engineering International, 34(1), 2-14. doi:10.1002/qre.2135 es_ES
dc.description.references Stevens, W. L. (1948). Control by Gauging. Journal of the Royal Statistical Society: Series B (Methodological), 10(1), 54-98. doi:10.1111/j.2517-6161.1948.tb00003.x es_ES


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