dor_id: 45670
506.#.#.a: Público
590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares
510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation
561.#.#.u: https://www.icat.unam.mx/
650.#.4.x: Ingenierías
336.#.#.b: article
336.#.#.3: Artículo de Investigación
336.#.#.a: Artículo
351.#.#.6: https://jart.icat.unam.mx/index.php/jart
351.#.#.b: Journal of Applied Research and Technology
351.#.#.a: Artículos
harvesting_group: RevistasUNAM
270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx
590.#.#.c: Open Journal Systems (OJS)
270.#.#.d: MX
270.1.#.d: México
590.#.#.b: Concentrador
883.#.#.u: https://revistas.unam.mx/catalogo/
883.#.#.a: Revistas UNAM
590.#.#.a: Coordinación de Difusión Cultural
883.#.#.1: https://www.publicaciones.unam.mx/
883.#.#.q: Dirección General de Publicaciones y Fomento Editorial
850.#.#.a: Universidad Nacional Autónoma de México
856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/283/280
100.1.#.a: Yeh, Tsu Ming; Sun, Jia Jeng
524.#.#.a: Yeh, Tsu Ming, et al. (2013). Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis. Journal of Applied Research and Technology; Vol. 11 Núm. 5. Recuperado de https://repositorio.unam.mx/contenidos/45670
245.1.0.a: Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis
502.#.#.c: Universidad Nacional Autónoma de México
561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM
264.#.0.c: 2013
264.#.1.c: 2013-10-01
653.#.#.a: measurement system analysis; monte carlo simulation; gauge repeatability; reproducibility
506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx
884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/283
001.#.#.#: 074.oai:ojs2.localhost:article/283
041.#.7.h: spa
520.3.#.a: Measurements are required to maintain the consistent quality of all finished and semi-finished products in a productionline. Many firms in the automobile and general precision industries apply the TS 16949:2009 Technical Specificationsand Measurement System Analysis (MSA) manual to establish measurement systems. This work is undertaken toevaluate gauge repeatability and reproducibility (GR&R) to verify the measuring ability and quality of the measurementframe, as well as to continuously improve and maintain the verification process. Nevertheless, the implementation ofGR&R requires considerable time and manpower, and is likely to affect production adversely. In addition, the evaluationvalue for GR&R is always different owing to the sum of man-made and machine-made variations. Using a Monte Carlosimulation and the prediction of the repeatability and reproducibility of the measurement system analysis, this study aimsto determine the distribution of %GR&R and the related number of distinct categories (ndc). This study uses two casestudies of an automobile parts manufacturer and the combination of a Monte Carlo simulation, statistical bases, and theprediction of the repeatability and reproducibility of the measurement system analysis to determine the probability densityfunction, the distribution of %GR&R, and the related number of distinct categories (ndc). The method used in this studycould evaluate effectively the possible range of the GR&R of the measurement capability, in order to establish aprediction model for the evaluation of the measurement capacity of a measurement system.
773.1.#.t: Journal of Applied Research and Technology; Vol. 11 Núm. 5
773.1.#.o: https://jart.icat.unam.mx/index.php/jart
022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423
310.#.#.a: Bimestral
264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM
doi: https://doi.org/10.1016/S1665-6423(13)71585-2
harvesting_date: 2023-11-08 13:10:00.0
856.#.0.q: application/pdf
last_modified: 2024-03-19 14:00:00
license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es
license_type: by-nc-sa
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