Forecasting for the Textile Sector: Case Study for a Clothing Company at the Agreste Pole of Pernambuco
DOI:
https://doi.org/10.51359/2317-0115.2022.256847Keywords:
textile industry, artificial intelligence, forecastingAbstract
The textile sector has shown constant growth in recent years and Brazil occupies the fourth position inthe world in the clothing niche. The growing demand for textiles reinforces the importance of technologies and intelligent systems that contribute to the continued expansion of the sector. In this sense, this paper analyzes different approaches for predicting important variables for a textile company, in order to allow the use of the predictive models obtained as auxiliaries in future optimization and planning tools. A system with graphical interface was developed to facilitate the visualization and manipulation of the data and the proposal was evaluated on the data of a partner company of the Polo Agreste considering the technique with better performance according to previous studies. The results obtained reinforce that the approach is promising, presenting a mean square error of 1.20×10-2for the prediction of the value produced and 4.37×10-2for the production cost.
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