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dc.contributor.author | Nguyen, Quoc-Thông![]() |
es_ES |
dc.contributor.author | Giner-Bosch, Vicent![]() |
es_ES |
dc.contributor.author | Tran, Kim Duc![]() |
es_ES |
dc.contributor.author | Heuchenne, Cédric![]() |
es_ES |
dc.contributor.author | Tran, Kim Phuc![]() |
es_ES |
dc.date.accessioned | 2023-09-13T18:00:37Z | |
dc.date.available | 2023-09-13T18:00:37Z | |
dc.date.issued | 2021-07 | es_ES |
dc.identifier.issn | 0268-3768 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/196327 | |
dc.description.abstract | [EN] Online monitoring of the multivariate coefficient of variation (MCV) can be of interest in many real situations in which the dispersion of a multivariate process is meant to remain constant with regard to its position. To this aim, several control charts have been recently proposed in the literature. In this paper, the new one-sided adaptive charts to monitor the MCV are proposed. The chart applies a variable sampling interval (VSI) strategy on an exponentially weighted moving average (EWMA) scheme, aiming at benefiting from the known advantages of both approaches. Formulas to optimally determine the parameters of the chart are derived and presented. The proposed chart is shown to outperform competing charts under most circumstances. The presence of the measurement errors is considered to understand their effects on the charts. An illustrative example is also included. | es_ES |
dc.description.sponsorship | VGB's research work was supported by the Ministerio de Ciencia e Innovacion of Spain under grant no. PID2019-110442GBI00. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Springer-Verlag | es_ES |
dc.relation.ispartof | The International Journal of Advanced Manufacturing Technology | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Multivariate Coefficient of Variation | es_ES |
dc.subject | EWMA | es_ES |
dc.subject | Variable sampling interval | es_ES |
dc.subject | Average time to signal (ATS) | es_ES |
dc.subject | Measurement Errors | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | One-sided Variable Sampling Interval EWMA Control Charts for Monitoring the Multivariate Coefficient of Variation in the Presence of Measurement Errors | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1007/s00170-021-07138-8 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110442GB-I00/ES/INFERENCIA ESTADISTICA Y MODELIZACION APLICADA AL CONTROL DE CALIDAD, LA MONITORIZACION DE PROCESOS Y EL ANALISIS DE FIABILIDAD INDUSTRIAL/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials | es_ES |
dc.description.bibliographicCitation | Nguyen, Q.; Giner-Bosch, V.; Tran, KD.; Heuchenne, C.; Tran, KP. (2021). One-sided Variable Sampling Interval EWMA Control Charts for Monitoring the Multivariate Coefficient of Variation in the Presence of Measurement Errors. The International Journal of Advanced Manufacturing Technology. 115(5-6):1821-1851. https://doi.org/10.1007/s00170-021-07138-8 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1007/s00170-021-07138-8 | es_ES |
dc.description.upvformatpinicio | 1821 | es_ES |
dc.description.upvformatpfin | 1851 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 115 | es_ES |
dc.description.issue | 5-6 | es_ES |
dc.relation.pasarela | S\437916 | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
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