CAPACIDAD DEL PROCESO CP Y CPK PDF

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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.

A capability study for an entire product. Process capability indices dedicated to bivariate non normal distributions. Journal of Quality in Maintenance Engineering, , vol. Quality Technology and Quantitative Management,,vol. The process-oriented multivariate capability index, International Journal of Production Research, ,vol. The development of a target-focused process capability index with multiple characteristics.

Quality and Reliability Engineering International, , vol. Capability indices and nonconforming proportion in univariate and multivariate process. International J Adv. Quality control handbook, KANE, V. Process capability indices, Journal of Quality Technology, ,vol. KOTZ, S. Process Capability Indices—a review, — Journal of Quality Technology, ,vol.

Statistical quality control A modern introduction, 6th ed. PAN, J. New capability indices for evaluating the performance of multivariate manufacturing processes. Distributional and inferential properties of process capability indices. Multivariate Capability indices: Distributional and Inferential Properties. Journal of Applied statistics, ,vol.

A new multivariate process capability vector. Quality Engineering, ,vol. A multivariate process capability vector. In: 4thIndustrial Engineering Research Conference, Multivariate process capability using principal component analysis. Quality and Reliability Engineering International, ,vol. Bibliography of process capability papers. TAAM, W. A note on multivariate capability indices. Journal of Applied Statistics, , vol. WANG, C. Technol, ,vol.

WANG, F. Capability index using principal components analysis. Quality Engineering,, vol. Using principal component analysis in process performance for multivariate data. Omega, , vol. WU, C. An overview of theory and practice on process capability indices for quality assurance. International Journal of Production Economics,, vol.

YEH, A. A nonparametric multivariate process capability index. International Journal of bibliography of the literature on process capability Modeling and Simulation, ,vol. YUM, B. Agencias de apoyo.

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