Estudo da qualidade do leite in natura

Abstract

The dairy sector is getting modernized for producing more, with quality and being more competitive at market. Moreover, there is a consumers’ increasing worry as for the quality of milk products, above all, the food safety. So, the objective of this study was to assess milk quality in natura supplied to the UFSM Dairy School Factory by utilizing the Statistical Process Control ( SPC ). The data were obtained from the spreadsheets provided by the Dairy School Factory of UFSM from September 2004 to May 2005. It was collected 1,696 milk samples delivered by 75 producers. From these milk samples the variables exceeding water in percentage, acidity in Dornic degrees, and fat content in percentage, were analyzed. For the data analysis the descriptive statistics and the Statistical Process Control (SPC), that allows monitoring a data set through graphics. In this analysis, the graphic p is used. It takes into account the fraction of nonconforming data. The Graphic of Specification is also utilized. In the descriptive statistics, the outcomes showed that the average of the degree of acidity and the fat content are within the acceptable limits. However, the mean of the percentage of exceeding water is high, staying off the acceptable limits. As regards to nonconforming fraction graphic, the three variables presented points out of the control limits. In the analysis, the Specification Graphics being utilized, all the variables presented points off the limits, however the exceeding water showed only two points within the specification limits.