Models for predicting perishable products demands in food trading companies

Rudibel Perdigón Llanes, Hubert Viltres Sala, Arturo Orellana García


Determining the demands for products and services is an issue of interest to the international scientific community and represents an effective tool to raise the economic profits and competitiveness of business in the market. Currently, research on models for forecasting perishable food demands is few compared to the amount of forecasting research in other fields. Accurate forecasting of perishable foods prevents the loss of these products and contributes to increased customer satisfaction. In this article, we conducted a systematic review of the literature on the main models for forecasting perishable food demands in small and medium enterprises developed during the period 2013-2018. The analysis of the available information allowed the authors to determine that forecasting methods using soft computing techniques and time series are the most used in the literature. The main input variables of these models and the factors that influence the variation in the demands were also determined.

Palabras clave

forecasting models; demands; perishable food; business

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La Universidad de las Ciencias Informáticas (UCI), a través del sello editorial Ediciones Futuro, publica los contenidos de la Revista Cubana de Ciencias Informáticas (RCCI) bajo licencia Creative Commons de tipo Atribución 4.0 Internacional (CC BY 4.0). Esta licencia permite a otros distribuir, mezclar, ajustar y construir a partir de su obra, incluso con fines comerciales, siempre que le sea reconocida la autoría de la creación original.