A Support Vector Regression Model Applied in Valuating Selective Partners in Supply Chain

摘要：

Whether a suitable partner is selected or not has a profound impact on the performance of the entire chain and the interests of all members of it.In this paper,in order to improve the original methods of partner evaluation,we propose a theoretical evaluation model of the candidate partners based on Support Vector Regression.At the same time,we construct a new index system from a new angle of view based on investigation and the existing outcomes.In addition,an empirical study has been conducted and the results show that the new model is effective and has a good ability of generalizing.So,we have provided a scientific and objective method for the managersdecision-making of the partner selection in supply chain management.

关键词： Supply chain Partners Indexes Model of evaluation Support vector machines

作者: CAO Qingkui ZHANG Fangming

作者单位: School of Economics & Management,Hebei University of Engineering,P.R.China,056038

会议类型: 国际会议

会议名称: 2008 International Conference on Lofistics Engineering and Supply Chain(2008物流与供应链管理国际研讨会)

会议地点: 长沙

会议语种:英文

页码: 742-746

在线出版日期: 2008-08-20（万方平台首次上网日期，不代表论文的发表时间）