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文章基本信息

  • 标题:Application of a Combined Model to Spare Parts Consumption Prediction
  • 本地全文:下载
  • 作者:Liu Shenyang ; Gao Qi ; Gao Tielu
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:674-677
  • DOI:10.2174/1874110X01509010674
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:

    Spare parts consumption prediction lays a foundation for spare parts support. This paper combines the exponential smoothing method with a grey model, and establishes a combined model. The combined model solves the problem of spare parts consumption prediction. The example indicates that the combined model is much more accurate than a single model.

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