A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables
Descripción del Articulo
In the multivariate analysis of capacity there are many aspects, not even resolved yet, around some indexes such as the non-normality of the data and if the variables of quality are correlated or not. In this work we intend to propose the development of a multivariate capacity index (ICPM, for its a...
| Autores: | , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2017 |
| Institución: | Universidad de Lima |
| Repositorio: | Revistas - Universidad de Lima |
| Lenguaje: | español |
| OAI Identifier: | oai:revistas.ulima.edu.pe:article/1790 |
| Enlace del recurso: | https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/1790 |
| Nivel de acceso: | acceso abierto |
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A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variablesUn índice de capacidad de procesos para distribuciones multivariadas no normales de variables correlacionadas y no correlacionadasSalazar, Erasmo RafaelSimón-Fermín, JoséIn the multivariate analysis of capacity there are many aspects, not even resolved yet, around some indexes such as the non-normality of the data and if the variables of quality are correlated or not. In this work we intend to propose the development of a multivariate capacity index (ICPM, for its acronym in Spanish) that works for both previous cases through simulated data examples. It is worth mentioning that we find a wide performance of the proposed index in comparison with other similar capacity indexes.En el análisis de capacidad multivariado existen muchos aspectos aún no resueltos en torno a algunos índices, como la no normalidad de los datos y si las variables de calidad están correlacionadas o no están correlacionadas. En este trabajo se pretendió proponer la elaboración de un índice de capacidad multivariado (ICPM) que funcione para ambos casos anteriores por medio de ejemplos de datos simulados. Cabe mencionar que se encontró un amplio desempeño del índice propuesto frente a otros índices de capacidad similares.Universidad de Lima2017-12-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/179010.26439/ing.ind2017.n035.1790Ingeniería Industrial; No. 035 (2017); 55-75Ingeniería Industrial; Núm. 035 (2017); 55-752523-63261025-992910.26439/ing.ind2017.n035reponame:Revistas - Universidad de Limainstname:Universidad de Limainstacron:ULIMAspahttps://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/1790/1798https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:revistas.ulima.edu.pe:article/17902023-07-21T20:49:45Z |
| dc.title.none.fl_str_mv |
A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables Un índice de capacidad de procesos para distribuciones multivariadas no normales de variables correlacionadas y no correlacionadas |
| title |
A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables |
| spellingShingle |
A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables Salazar, Erasmo Rafael |
| title_short |
A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables |
| title_full |
A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables |
| title_fullStr |
A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables |
| title_full_unstemmed |
A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables |
| title_sort |
A process capacity index for multivariate non-normal distributions of correlated and uncorrelated variables |
| dc.creator.none.fl_str_mv |
Salazar, Erasmo Rafael Simón-Fermín, José |
| author |
Salazar, Erasmo Rafael |
| author_facet |
Salazar, Erasmo Rafael Simón-Fermín, José |
| author_role |
author |
| author2 |
Simón-Fermín, José |
| author2_role |
author |
| description |
In the multivariate analysis of capacity there are many aspects, not even resolved yet, around some indexes such as the non-normality of the data and if the variables of quality are correlated or not. In this work we intend to propose the development of a multivariate capacity index (ICPM, for its acronym in Spanish) that works for both previous cases through simulated data examples. It is worth mentioning that we find a wide performance of the proposed index in comparison with other similar capacity indexes. |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017-12-21 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/1790 10.26439/ing.ind2017.n035.1790 |
| url |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/1790 |
| identifier_str_mv |
10.26439/ing.ind2017.n035.1790 |
| dc.language.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.none.fl_str_mv |
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/1790/1798 |
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https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad de Lima |
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Universidad de Lima |
| dc.source.none.fl_str_mv |
Ingeniería Industrial; No. 035 (2017); 55-75 Ingeniería Industrial; Núm. 035 (2017); 55-75 2523-6326 1025-9929 10.26439/ing.ind2017.n035 reponame:Revistas - Universidad de Lima instname:Universidad de Lima instacron:ULIMA |
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Universidad de Lima |
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ULIMA |
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ULIMA |
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Revistas - Universidad de Lima |
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Revistas - Universidad de Lima |
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1844893184756285440 |
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13.91977 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).