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T2 Control Charts with Variable Dimension

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T2 Control Charts with Variable Dimension

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Nombre: Aparisi;Epprecht;Ruiz ...
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dc.contributor.author Aparisi García, Francisco José es_ES
dc.contributor.author Epprecht, Eugenio K. es_ES
dc.contributor.author Ruiz Rivero, Omar José es_ES
dc.date.accessioned 2020-04-22T08:01:00Z
dc.date.available 2020-04-22T08:01:00Z
dc.date.issued 2012 es_ES
dc.identifier.issn 0022-4065 es_ES
dc.identifier.uri http://hdl.handle.net/10251/141293
dc.description.abstract [EN] This paper proposes a new multivariate T2 control chart, termed the variable dimension T2 (VDT2) chart, in which the number of monitored quality characteristics is variable. When there are p related variables to be monitored, the approach is useful if there is a subset of p1 variables that are easy and/or inexpensive to measure, while the remaining variables are difficult and/or expensive to measure but provide additional useful information on whether the process mean has shifted. The VDT2 chart adaptively determines the number of variables to be monitored (either p1 or p) depending on the last value of the charted statistic. We provide Windows®-based software to optimize the parameters of the control chart using a Markov chain model to compute the performance measures and a genetic algorithm to conduct the optimization. The optimized VDT2 chart is quite powerful, and we demonstrate the somewhat surprising result that it detects mean shifts faster than a standard T2 chart for which all p variables are always measured, while also reducing sampling costs. es_ES
dc.description.sponsorship This work has been supported by the Ministry of Education and Science of Spain, research project number DPI2009-09925, the CNPq (the Brazilian Council for Scientific and Technological Development), project numbers 302326/2008-1 and 473706/2010-5, and SENESCYT-Ecuador (National Secretary of Higher Education, Science, Technology and Innovation of Equador). The authors are grateful to the referees for their comments, which led to significant improvement of the paper, and especially to the Editor Daniel Apley for his valuable comments, careful revision, and also for giving us an explanation for the (apparently paradoxical) better performance of the VDT2 chart relative to the T2 chart on all variables. es_ES
dc.language Inglés es_ES
dc.relation.ispartof JOURNAL OF QUALITY TECHNOLOGY es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Adaptive Control es_ES
dc.subject Dimension es_ES
dc.subject Multivariate es_ES
dc.subject Optimization es_ES
dc.subject Statistical-Process Control es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title T2 Control Charts with Variable Dimension es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/00224065.2012.11917907 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CNPq//302326%2F2008-1/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/CNPq//473706%2F2010-5/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2009-09925/ES/Desarrollo De Graficos De Control De Calidad Optimos Y Universales/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes 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 Aparisi García, FJ.; Epprecht, EK.; Ruiz Rivero, OJ. (2012). T2 Control Charts with Variable Dimension. JOURNAL OF QUALITY TECHNOLOGY. 44(4):375-393. https://doi.org/10.1080/00224065.2012.11917907 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/00224065.2012.11917907 es_ES
dc.description.upvformatpinicio 375 es_ES
dc.description.upvformatpfin 393 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 44 es_ES
dc.description.issue 4 es_ES
dc.relation.pasarela S\238109 es_ES
dc.contributor.funder Conselho Nacional de Desenvolvimento Científico e Tecnológico, Brasil es_ES
dc.contributor.funder Secretaría de Educación Superior, Ciencia, Tecnología e Innovación, Ecuador es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.description.references APARISI, F. (1996). Hotelling’s T2control chart with adaptive sample sizes. International Journal of Production Research, 34(10), 2853-2862. doi:10.1080/00207549608905062 es_ES
dc.description.references Aparisi, F., de Luna, M. A., & Epprecht, E. (2009). Optimisation of a set of or principal components control charts using genetic algorithms. International Journal of Production Research, 48(18), 5345-5361. doi:10.1080/00207540903095426 es_ES
dc.description.references Bersimis, S., Psarakis, S., & Panaretos, J. (2007). Multivariate statistical process control charts: an overview. Quality and Reliability Engineering International, 23(5), 517-543. doi:10.1002/qre.829 es_ES
dc.description.references Champ, C. W., & Aparisi, F. (2008). Double sampling hotelling’s T2 charts. Quality and Reliability Engineering International, 24(2), 153-166. doi:10.1002/qre.872 es_ES
dc.description.references Costa, A. F. B. (1994). X̄Charts with Variable Sample Size. Journal of Quality Technology, 26(3), 155-163. doi:10.1080/00224065.1994.11979523 es_ES
dc.description.references Costa, A. F. B. (1997). X̄Chart with Variable Sample Size and Sampling Intervals. Journal of Quality Technology, 29(2), 197-204. doi:10.1080/00224065.1997.11979750 es_ES
dc.description.references COSTA, A. F. B. (1998). JointX¯andRcharts with variable parameters. IIE Transactions, 30(6), 505-514. doi:10.1080/07408179808966490 es_ES
dc.description.references Costa, A. F. B. (1999). X̄Charts with Variable Parameters. Journal of Quality Technology, 31(4), 408-416. doi:10.1080/00224065.1999.11979947 es_ES
dc.description.references Costa, A. F. B., & De Magalhães, M. S. (2005). Economic design of two-stage X̄ charts: The Markov chain approach. International Journal of Production Economics, 95(1), 9-20. doi:10.1016/j.ijpe.2003.10.024 es_ES
dc.description.references Crosier, R. B. (1986). A New Two-Sided Cumulative Sum Quality Control Scheme. Technometrics, 28(3), 187-194. doi:10.1080/00401706.1986.10488126 es_ES
dc.description.references Epprecht, E. K., Costa, A. F. B., & Mendes, F. C. T. (2003). Adaptive Control Charts for Attributes. IIE Transactions, 35(6), 567-582. doi:10.1080/07408170304427 es_ES
dc.description.references Epprecht, E. K., Simões, B. F. T., & Mendes, F. C. T. (2009). A variable sampling interval EWMA chart for attributes. The International Journal of Advanced Manufacturing Technology, 49(1-4), 281-292. doi:10.1007/s00170-009-2390-3 es_ES
dc.description.references González, I., & Sánchez, I. (2010). Variable Selection for Multivariate Statistical Process Control. Journal of Quality Technology, 42(3), 242-259. doi:10.1080/00224065.2010.11917822 es_ES
dc.description.references Jackson, J. E. (1980). Principal Components and Factor Analysis: Part I—Principal Components. Journal of Quality Technology, 12(4), 201-213. doi:10.1080/00224065.1980.11980967 es_ES
dc.description.references Jackson, J. E. (1981). Principal Components and Factor Analysis: Part II—Additional Topics Related to Principal Components. Journal of Quality Technology, 13(1), 46-58. doi:10.1080/00224065.1981.11980986 es_ES
dc.description.references Jackson, J. E. (1981). Principal Components and Factor Analysis: Part III—What is Factor Analysis? Journal of Quality Technology, 13(2), 125-130. doi:10.1080/00224065.1981.11981002 es_ES
dc.description.references Kourti, T., & MacGregor, J. F. (1996). Multivariate SPC Methods for Process and Product Monitoring. Journal of Quality Technology, 28(4), 409-428. doi:10.1080/00224065.1996.11979699 es_ES
dc.description.references LEE, M. H., & KHOO, M. B. C. (2006). OPTIMAL STATISTICAL DESIGNS OF A MULTIVARIATE CUSUM CHART BASED ON ARL AND MRL. International Journal of Reliability, Quality and Safety Engineering, 13(05), 479-497. doi:10.1142/s0218539306002380 es_ES
dc.description.references Li, J., Tsung, F., & Zou, C. (2012). Directional Control Schemes for Multivariate Categorical Processes. Journal of Quality Technology, 44(2), 136-154. doi:10.1080/00224065.2012.11917889 es_ES
dc.description.references LOWRY, C. A., & MONTGOMERY, D. C. (1995). A review of multivariate control charts. IIE Transactions, 27(6), 800-810. doi:10.1080/07408179508936797 es_ES
dc.description.references MacGregor, J. F., & Kourti, T. (1995). Statistical process control of multivariate processes. Control Engineering Practice, 3(3), 403-414. doi:10.1016/0967-0661(95)00014-l es_ES
dc.description.references Nomikos, P., & MacGregor, J. F. (1995). Multivariate SPC Charts for Monitoring Batch Processes. Technometrics, 37(1), 41-59. doi:10.1080/00401706.1995.10485888 es_ES
dc.description.references Prabhu, S. S., Montgomery, D. C., & Runger, G. C. (1994). A Combined Adaptive Sample Size and Sampling IntervalX̄Control Scheme. Journal of Quality Technology, 26(3), 164-176. doi:10.1080/00224065.1994.11979524 es_ES
dc.description.references PRABHU, S. S., RUNGER, G. C., & KEATS, J. B. (1993). X¯ chart with adaptive sample sizes. International Journal of Production Research, 31(12), 2895-2909. doi:10.1080/00207549308956906 es_ES
dc.description.references REYNOLDS, M. R., & ARNOLD, J. C. (2001). EWMA control charts with variable sample sizes and variable sampling intervals. IIE Transactions, 33(6), 511-530. doi:10.1080/07408170108936850 es_ES
dc.description.references RUNGER, G. C., & MONTGOMERY, D. C. (1993). ADAPTIVE SAMPLING ENHANCEMENTS FOR SHEWHART CONTROL CHARTS. IIE Transactions, 25(3), 41-51. doi:10.1080/07408179308964289 es_ES
dc.description.references Saccucci, M. S., Amin, R. W., & Lucas, J. M. (1992). Exponentially weighted moving average control schemes with variable sampling intervals. Communications in Statistics - Simulation and Computation, 21(3), 627-657. doi:10.1080/03610919208813040 es_ES
dc.description.references Steiner, S. H. (2000). Statistical Process Control Using Two Measurement Systems. Technometrics, 42(2), 178-187. doi:10.1080/00401706.2000.10485997 es_ES
dc.description.references Tagaras, G. (1998). A Survey of Recent Developments in the Design of Adaptive Control Charts. Journal of Quality Technology, 30(3), 212-231. doi:10.1080/00224065.1998.11979850 es_ES
dc.description.references Zou, C., & Tsung, F. (2008). Directional MEWMA Schemes for Multistage Process Monitoring and Diagnosis. Journal of Quality Technology, 40(4), 407-427. doi:10.1080/00224065.2008.11917746 es_ES


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