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Validation and release of measurement device for automotive OEM, using statistical tools in national metrology competition
DOI:
https://doi.org/10.33064/iycuaa2020792985Keywords:
checking, fixture, variables, attributes, bias, stability, normalityAbstract
In recent years, statistical studies for the measurement system analysis (MSA) of parts of the automotive industry have gained strength not only by their versatility to study attributes and variables, but also by the easiness they provide organizations to release their measuring devices on production lines and thus, be able to control the quality of their products easily and reliable. This note exposes the methodology that was followed for the statistical validation of the checking fixture used in a design and development contest for measuring devices for components of the automotive industry, where the first place was obtained.
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References
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& Martínez Gómez, E. A. (2015). Diseño de un calibrador de calidad para disminuir el desperdicio en el área de ensamble de un componente para automóvil. Revista Ingeniería Industrial, 14(3), 95-104.
of Faculty Engineering Hunedoara - International Journal of Engineering, 12(4), 113-116.
• Automotive Industry Action Group. (2010). Measurement Systems Analysis. Reference Manual (4th ed.). US: Chrysler
Group LLc-Ford Motor Company- General Motors Corporation.
• Cabrera, G., Zanazzi, J. F., Zanazzi, J. L., & Boaglio, L. (2017). Comparación de potencias en pruebas estadísticas de normalidad, con datos escasos. Revista Facultad de Ciencias Exactas, Físicas y Naturales, 4(2), 47-52.
• Cancino, B. (30 de octubre de 2018). Ganan estudiantes de la UPAEP concurso nacional de la industria automotriz. El Sol de Puebla. Recuperado de https://www.elsoldepuebla.com.mx/local/ganan-estudiantes-de-la-upaep-concurso-nacional-de-la-industria-automotriz-puebla-2510976.html
• Columbus, L. (8 de junio de 2018). Seven ways gage management improves product quality and enables growth–manufacturers can significantly improve their visibility into operations through gage repeatability and reproducibility
(GR&R) studies. Quality. Recuperado de https://www.qualitymag.com/articles/94750-seven-ways-gage-management-improves-product-quality-and-enables-growth
• DeGlee, G. (2008). Is your gage good enough? Manufacturing Engineering, 141(6). Recuperado de www.sme.org/manufacturingengineering
• Gasparin, S., Tosello, G., Hansen, H. N., & Islam, A. (2013). Quality control and process capability assessment for injection-moulded micro mechanical parts. International Journal of Advanced Manufacturing Technology, 66(9-12), 1295-1303. doi: 10.1007/s00170-012-4407-6
• Gasper, E. (1 de julio de 2017). Calibration and measurement systems: The unsung hero in quality efforts – timely calibration of all measurement devices is critical to manufacturing efforts. Quality, 24-27. Recuperado de ww.qualitymag.
com
• Jiang, K., Zhou, X., & Li, M. (2013). Computer-aided checking fixture design system for automobile parts. International
Journal of Production Research, 51(20), 6045-6069. doi: 10.1080/00207543.2013.793421
• Kevin Catherine, L. D., Raja Ma’arof, R. A., & Suresh, S. (2015). A study on the impact of the milling parameters on the surface roughness when using polyurethane board as a base material in manufacturing automotive checking fixtures.
Materials Science Forum, 819, 449-454. doi: 10.4028/www.scientific.net/MSF.819.449
• Momang, B. W., & Mohamed, N. M. Z. N. (2015). Development concept of a portable quality-confirmation inspection
device for automotive body parts. International Journal of Automotive and Mechanical Engineering (IJAME), 11, 2738-
2746. doi: 10.15282/ijame.11.2015.49.0230
• Otero Fernández, M. G., Mazorra Lopetey, A., & Ulloa Enríquez, M. U. (2014). Evaluación del sistema de medición en la fabricación de gel de hidróxido de aluminio. Revista Cubana de Farmacia, 48(4), 533-541. Recuperado de http://scielo.sld.cu/pdf/far/v48n4/far02414.pdf
• Pedrosa, I., Juarros-Basterretxea, J., Robles-Fernández, A., Basteiro, J., & García-Cueto, E. (2015). Pruebas de bondad de ajuste en distribuciones simétricas, ¿qué estadístico utilizar? Universitas Psychologica, 14(1), 15-24. doi: 10.11144/
Javeriana.upsy14-1.pbad
• Torres Hernández, P. M., Guillén Anaya, L. G., Siller Orozco, G. I., Ramírez Espinoza, C. F., Rico Pérez, L., Ñeco Cabrera, R.,
& Martínez Gómez, E. A. (2015). Diseño de un calibrador de calidad para disminuir el desperdicio en el área de ensamble de un componente para automóvil. Revista Ingeniería Industrial, 14(3), 95-104.
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2020-01-31
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