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  • 标题:Planejando o processo de previsão de demanda com auxílio da lógica fuzzy
  • 本地全文:下载
  • 作者:Pedro Senna ; Ricardo Tanscheit ; Andreia Macedo Gomes
  • 期刊名称:Revista Produção e Desenvolvimento
  • 电子版ISSN:2446-9580
  • 出版年度:2015
  • 卷号:1
  • 期号:2
  • 页码:90-103
  • DOI:10.32358/rpd.2015.v1.89
  • 出版社:Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
  • 摘要: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.
  • 关键词:Previsão de Demanda;Decomposição Clássica;Lógica Fuzzy.
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