For the proper planning of production processes in agricultural companies, resources are needed that allow the development of methodologies capable of bringing optimal solutions that support decision making. The aim of this study was develop a prototype to optimize the profit of an agricultural company through the application of genetic algorithms. Obtaining data regarding production processes belong to a dairy company specialized in the manufacture of dairy products, located in the municipality of Caruaru, state of Pernambuco. An on-site visit was carried out to survey the entire production process of the products under study; interview with the business owner to learn about their main market interests; collection of data for the elaboration of a business model, with emphasis on product diversification and improvement in the company's profit margin. From the data, an “AG planning” prototype was developed using the python language and the tkinter library. For the implementation, the objective based function was first developed. in profits and 10 restrictions were modeled based on manufacturing time of each product, number of employees and hours worked. Three repetitions of 3, 6 and 10 executions of the algorithm were performed to verify the highest possible profit value. The most significant increase in the profit margin was identified infirst simulation with 3 runs. With the using genetic algorithms it was possible to plan the weekly production of the company.

Animal production optimization artificial intelligence