This study aims to better understand the demand forecasting methods used by the Brazilian food industry. A questionnaire was developed and sent to a sample of 450 companies from ABIA (Brazilian Association of Food Industries) which represents 70% of the industry.Tthe response rate was 14.4%. The goal of this research is to detect which and how the demand forecasting methods have been used by these companies, the main factors influencing the choice of method and what are the main obstacles that they face. The data was analyzed by multivariate statistical techniques such as correspondence analysis and discriminant analysis using the statistical software SPSS. The results show that the historical analysis model is the most used; that the main factors influencing the choice of models are the type of product and the time spent, and the main obstacles are the software availability and difficulty in understanding.
Forecasting; Multivariate analysis; Correspondence analysis; Discriminant analysis; Food industry
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