ANALYSIS OF THE FACTORS THAT MOST INFLUENCE ON SUGAR CANE INDUSTRIAL YIELD

Abstract

The Cuban sugar industry needs to implement methods to quantify the influence of technological process variables on the sugar cane industrial output as accurately as possible. It is needed to predict the behavior of its productive process in order to plan and optimize the use of the technical, financial and human resources to improve those technological variables that most influence on sugar cane industrial output. In this context the present paper seeks, firstly, to identify those technological variables that are correlated with the industrial performance and the main losses in the process, through the principal component analysis; and secondly, to quantify the effect of these variables on the sugar cane industrial output, losses in final molasses and bagasse losses, by using multiple regression models of log-log. The analysis of the results obtained by these statistical tools and their use to simulate different operating conditions of the process is shown. The developed models are useful to act from a technological point of view of the process and improve control over it.