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  • 标题:A Robust and Easy Approach for Demand Forecasting in Supply Chains
  • 本地全文:下载
  • 作者:Koussaila Hamiche ; Hassane Abouaïssa ; Gilles Goncalves
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:11
  • 页码:1732-1737
  • DOI:10.1016/j.ifacol.2018.08.206
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractDemand forecasting plays an important role for supply chains decision making. It also represents a basis step for activity planning in response to customer demand. In this paper, recent advances in times series allow a new robust and easy approach for demand forecasting. Such technique which is based on algebraic methods of estimation seems to be more adequate for such supply chains task. Several computer simulations and comparative studies demonstrate the relevance of the proposed approach.
  • 关键词:KeywordsTime seriesforecastsalgebraic technicssupply chain controlmanagement systems
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