Abstract

MARES-CASTRO, Armando  and  DOMINGUEZ-DOMINGUEZ, Jorge. Statistical evaluation of performance indices for the EVA roll division process. Ing. invest. y tecnol. [online]. 2022, vol.23, n.2, e1948.  Epub Nov 04, 2022. ISSN 2594-0732.  https://doi.org/10.22201/fi.25940732e.2022.23.2.013.

This article presents a statistical methodology to analyze the performance in an EVA roll division process. Statistical analysis of the data observed in this study indicated that they do not follow a normal probability distribution. In this direction, the alternative to build, analyze and compare the performance indices is carried out using the goodness-of-fit test methods, Box-Cox transformation, Johnson transformation and the Clements method. These results will allow us to evaluate the efficiency of the methods. On the other hand, the information is obtained from the periods before and after implementing a special roller in the dividing machine, to reduce the variation in EVA rolls in three different thicknesses, being an original application case. In the literature on manufacturing processes. The results presented in this work have allowed us to propose new research projects in the construction of process capacity indices from the distribution for the median, given that the data have a large kurtosis coefficient, as well as a distribution that includes the skewness.

Keywords : Process capacity analysis; goodness of fit tests; Box-Cox transformation; Johnson transformation; Clements transformation; EVA roll dividing process.

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