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文章基本信息

  • 标题:Comparing MADM and artificial neural network methods for evaluating suppliers in multiple sourcing decision
  • 本地全文:下载
  • 作者:Asgari, M. ; Abbasi, A.
  • 期刊名称:Decision Science Letters
  • 印刷版ISSN:1929-5804
  • 电子版ISSN:1929-5812
  • 出版年度:2015
  • 卷号:4
  • 期号:2
  • 页码:193-202
  • DOI:10.5267/j.dsl.2014.12.003
  • 语种:English
  • 出版社:Growing Science Publishing Company
  • 摘要:This research seeks to examine and introduce an appropriate method for evaluating and selecting suppliers in multiple sourcing and compares two efficient and effective methods, i.e. MADM and ANN for selecting the suppliers. The results of using the methods are compared with each other by using the measurement criteria such as RMSE, NRMSE, and R2 and they indicate that ANN could perform relatively better than MADM methods.
  • 关键词:Artificial Neural Network (ANN);MADM methods;Multiple sourcing;Supplier evaluation
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