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DATOS AGREGADOS Y DESAGREGADOS EN EL ANÁLISIS DE DATOS DE GARANTÍA

DATOS AGREGADOS Y DESAGREGADOS EN EL ANÁLISIS DE DATOS DE GARANTÍA



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DATOS AGREGADOS Y DESAGREGADOS EN EL ANÁLISIS DE DATOS DE GARANTÍA. (2013). Revista EIA, 2(4), 43-53. https://eiaupgrade.metarevistas.org/index.php/reveia/article/view/274

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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The authors exclusively assign to the Universidad EIA, with the power to assign to third parties, all the exploitation rights that derive from the works that are accepted for publication in the Revista EIA, as well as in any product derived from it and, in in particular, those of reproduction, distribution, public communication (including interactive making available) and transformation (including adaptation, modification and, where appropriate, translation), for all types of exploitation (by way of example and not limitation : in paper, electronic, online, computer or audiovisual format, as well as in any other format, even for promotional or advertising purposes and / or for the production of derivative products), for a worldwide territorial scope and for the entire duration of the rights provided for in the current published text of the Intellectual Property Law. This assignment will be made by the authors without the right to any type of remuneration or compensation.

Consequently, the author may not publish or disseminate the works that are selected for publication in the Revista EIA, neither totally nor partially, nor authorize their publication to third parties, without the prior express authorization, requested and granted in writing, from the Univeridad EIA.

Jorge Mario Obando
SERGIO YÁÑEZ

Jorge Mario Obando,

Ingeniero Administrador, EIA. Profesor Escuela de Ingeniería de Antioquia.

SERGIO YÁÑEZ,

Ingeniero Industrial. Magíster en Ciencias y Magíster en Estadística. Director Escuela de Estadística, Universidad Nacional de Colombia, Sede Medellín.

Los datos de garantía tratados estadísticamente son útiles para la predicción de reclamaciones futuras, para establecer comparaciones entre reclamaciones de productos y mejoras de ellos y estimación de la confiabilidad. Este análisis exige la disponibilidad de información diaria, que muchas veces sólo está disponible en forma agregada semanal o mensual debido a la logística de la empresa. En el presente trabajo se estudia el efecto que presenta la agregación de datos en los resultados del análisis.

Abstract: Warranty data, statistically well handled, is useful to predict future claims, to make comparisons between products claims, to estimate products field reliability, and to identify reliability improvements that can be made to the product. This analysis requires the availability of daily records that sometimes are only available in weekly or monthly total (grouped data) due to the nature of the operations of the organization. In this work the effect of the grouped data in the final results of the analysis is studied.


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