REVISTA DYNA MANAGEMENT

Key words:

Previsión de la demanda, modelos de previsión, métodos multivariantes, indicadores de precisión, Demand forecasting, forecast models, multivariate methods, accuracy indicators

Article type:

ARTICULO DE INVESTIGACION / RESEARCH ARTICLE

Section:

RESEARCH ARTICLES

Demand forecasting is a very important feature in companies since it provides valuable information for taking decisions about planning, pricing and business growth strategies. In this paper, multi-country demand forecasting for a company of the construction industry is carried out. In the case study, we analyze different external variables from open data sources of each country in order to reduce uncertainty in demand forecasting. The analysis is carried out with different univariate and multivariate methods. The results show how the consideration of external variables improves the forecasts. Finally, forecasts of different kinds of demand are evaluated using Syntetos, Boylan and Croston classification methodology.

Key words: Demand forecasting, forecast models, multivariate methods, accuracy indicators