dor_id: 45670

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351.#.#.b: Journal of Applied Research and Technology

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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

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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

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doi: https://doi.org/10.1016/S1665-6423(13)71585-2

harvesting_date: 2023-11-08 13:10:00.0

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Artículo

Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis

Yeh, Tsu Ming; Sun, Jia Jeng

Instituto de Ciencias Aplicadas y Tecnología, UNAM, publicado en Journal of Applied Research and Technology, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Cita

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

Descripción del recurso

Autor(es)
Yeh, Tsu Ming; Sun, Jia Jeng
Tipo
Artículo de Investigación
Área del conocimiento
Ingenierías
Título
Using the Monte Carlo Simulation Methods in Gauge Repeatability and Reproducibility of Measurement System Analysis
Fecha
2013-10-01
Resumen
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.
Tema
measurement system analysis; monte carlo simulation; gauge repeatability; reproducibility
Idioma
spa
ISSN
ISSN electrónico: 2448-6736; ISSN: 1665-6423

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