Demand forecast process planning with fuzzy logic support

Abstract

Generally, demand forecast is a crucial part of demand management process. As in many cases production cannot be of the make-to order type, it becomes necessary how many products will be sold. In this scenario, minimizing sales forecasting error should be the top priority in any company. In order to attain this goal, two techniques are presented here: Classic Decomposition and Forecast based on Fuzzy Logic. The main result is the low error found when applying both techniques, with a slight advantage for the latter.

Keywords

• Previsão de Demanda
• Decomposição Clássica
• Lógica Fuzzy