
Planejando o processo de previsão de demanda com auxílio da lógica fuzzy
Author(s) -
Pedro Senna,
Ricardo Tanscheit,
Andréia Macedo Gomes
Publication year - 2015
Publication title -
revista produção e desenvolvimento
Language(s) - English
Resource type - Journals
ISSN - 2446-9580
DOI - 10.32358/rpd.2015.v1.89
Subject(s) - fuzzy logic , order (exchange) , production (economics) , operations research , computer science , welfare economics , mathematics , economics , microeconomics , artificial intelligence , finance
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.