Abstract

GUTIERREZ-CORDERO, Edilia; GARCIA-NOA, Eduardo  and  SARIEGO-TOLEDO, Yanet. Multivariate Analysis of Consumption Indexes During the Production of Soybean Milk. Cienc. Tecnol. Agropecuaria [online]. 2023, vol.24, n.3, e2959.  Epub Aug 31, 2023. ISSN 0122-8706.  https://doi.org/10.21930/rcta.vol24_num3_art:2959.

Energy and raw materials saving is the best way to reduce production´s cost and its environmental impact. Therefore, the objective of this paper was to establish the functional relationship among the indexes consumption of vapor for milk mass produced, and also the milk mass produced by raw material, using multivariate methods. The data was obtained in 25 serial productions of an industrial plant, using the Clusters Analysis and The Principal Component method. Models with statistical significance were obtained for those indexes related to 20 technological parameters measured during the productive process using the software Statgraphics. The mass of vapor, the temperatures in the heaters, and the mass of milk in the heat interchanger were the most significant variables. The function obtained with the Partial Least Square Method without standardized variables was used to simulate different operational conditions. We obtained that it could be reached an index of 9.5 kg of milk for each kg of soybean, with an absolute error of 4.18 × 10-2. An increment of 1050,0 t of soybean milk in a year is feasible to improve the revenues of more soybean milk per kg of raw material processed. Through the obtained models it is possible to establish better operation conditions in the studied plan.

Keywords : Cluster analysis; milky products; partial least square; principal components analysis; simulation.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )