Study on the application of SVM in supplier primary election

  • Authors:
  • Lili Cai;Fugeng Song;Deling Yuan

  • Affiliations:
  • Donghua University, Shanghai, P.R China;Donghua University, Shanghai, P.R China;Donghua University, Shanghai, P.R China

  • Venue:
  • Proceedings of the 1st international conference on Forensic applications and techniques in telecommunications, information, and multimedia and workshop
  • Year:
  • 2008

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Abstract

Supplier selection is one of the most important things in supply chain management, the process of choosing a suitable supplier will effect enterprise's production and quality directly. This article puts forward a two-stage model of supplier selection based on analysis the problem of supplier management. It plots out the process as primary election stage and well-chosen stage, and builds up seven criteria to evaluate suppliers in primary election phase. Then, this context uses support vector machine to select suppliers and pays attention to two kinds of error --treat candidate supplier as non-candidate supplier and treat non-candidate supplier as candidate supplier. At last, a numerical simulation is used to explain selection of kernel function and sample training; the result reveals that this new method is practical and realistic and could reduce selection time.