Characterization of the operation variables in an industrial process using statistical methods (original) (raw)

In this work, a series of statistical methods were applied in order to characterize the influence of operation variables in the energetic performance of industrial-scale milling processes. To do so, a certain set of factors were evaluated, to estimate the correlation degree between these and the energetic consumption rate, which is the most used indicator of energy efficiency. Due to the quantity and level of complexity of the operations involved, statistical package Minitab® was used, being its application an easy way to establish statistical criteria to evaluate the influence of said variables. The results obtained, show that from the set of variables studied, only two (the energy and the production), have a degree of correlation enough to be taken in account into post processing operations; though the behavior of these operation variables differ considerably from each other, the statistical analysis done remarks their influence on the consumption rate using correlation processes, and therefore, this study acts as a basis to future optimization processes that contribute to improve the overall performance of milling operations.