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The manufactured products have several quality characteristics that are important for the customer. When the quality characteristics are not correlated, using several indices, such as Cp, Cpk and Cpm to assess the ability of the process to produce quality products. For the opposite case was found in the literature review, proposed capability indices to measure the ability of a process when the quality characteristics are correlated.
Most proposals agree that should define a specification region that represents what the customer wants, and another region of process variation that shows performance having the process. Additionally, as a result of the review, it was observed that different authors differ on how to define both regions, an opportunity that is used to present a new proposal, in which these regions are defined in a reliable manner and are compared, resulting in a pair of multivariate capability indices CpM and CpkM, which are extensions of univariate indexes Cp and Cpk.
Finally, data from a process, which can be modeled by means of a bivariate normal distribution are used to calculate the capability indices proposed in this paper, then compared with the value of other similar capability indices, proposed by others authors give a performance over other indices of the literature. Creado a partir de la obra en revistas. Multivariate non normal process capability analysis. International Journal of Advanced Manufacturing Technology,,vol.
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Propuesta para evaluar la capacidad de procesos de manufactura multivariados