Análisis de la producción de pollo de engorde de Avidesa Mac pollo s.a.

Abstract

The poultry sector has great relevance for the economy of the department of Santander, and in recent years its development has been increasing in all aspects, both economic and in the use of new technologies that improve its performance. Avidesa Mac Pollo S.A is a Santander company belonging to this sector that not only occupies the No. 1 place due to its sales volume, but also is the vanguard in technological innovation to improve its production. This project, not only proposes to obtain a new model to find the Food Conversion but that from this one can achieve an optimization of data use and in the same way this allows to increase the capacity of analysis of the production of broiler chicken that It belongs to the Farms area of ​​the company in question. To analyze large volumes of informational data, one of the techniques used is data mining, this technique is efficient and reliable; and through it you can extract hidden information inside the companies databases and make decisions that improve the performance of the corresponding area. To develop this model, the multivariate linear regression method was used, which allows to know how the variables Average Weight, Average Consumption, Consumption, Kilos Sacrifice and Day Gain, on the Food Conversion, are affected. To obtain this model, the Crisp DM methodology was applied, which is one of the most used techniques to work in data mining and the steps of this methodology are: business understanding, data understanding, data preparation, modeling , evaluation and implementation. This was obtained through the use of the SPSS Tool, which is a software for data processing using data mining. The model obtained showed very reliable results such as a correlation index of 0.994 which means that it is a perfect positive correlation, the coefficient of determination was 98.8% as can be seen is very strong and significant. I do not present Autocorrelation or Multicollinearity. This model will serve as a starting point for the approach of other models related to the production of broiler chicken of said company of the poultry sector.