Demand forecasting method using artificial neural networks
Método de pronóstico de la demanda utilizando redes neuronales artificiales
Date
2019
2019
Author
Amelec, Viloria
Arrieta Matos, Fernanda
Gaitán, Mercedes
Hernández Palma, Hugo
Flórez Guzman, Yasmin
Cabas Vásquez, Luis Carlos
Vargas Mercado, Carlos
Pineda Lezama, Omar Bonerge
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Abstract
Based on a forecast, the decision maker can determine the capacity required to meet a certain forecast demand, as well as carry out in advance the balance of capacities in order to avoid underusing or bottlenecks. This article proposes a procedure for forecasting demand through Artificial Neural Networks. In order to carry out the validation, the procedure proposed was applied in a Soda Trading and Distribution Company where three types of products were selected
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