The Study of Third Party Logistics Comprehensive Evaluation Model Based on Multivariate Statistical Analysis

被引:0
|
作者
Wang Jiabin [1 ]
Wang Hechun [1 ]
机构
[1] Shenyang Normal Univ, Sch Management, Shenyang 110034, Peoples R China
关键词
Multivariate statistical analysis; Outsouring; Third party logistics;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
With the development of economy,the logistics outsouring gradually increases. It is of critical importance to the success of enterprise Outsourcing to choose an appropriate third party logistics vendor for the proper choice of third party logistics can enhance enterprise core competition strength, improve added-value service,reduce cost of logistics and optimize enterprise resources etc.. this paper put forward a new comprehensive evaluation model which applys the principal component analysis,finds method and K-Nearest Neighbor Classifiers method Of multivariate statistical analysis on basis of the construction of the index system to evaluate and analyze third party logistics ability,which composes of a system and might overcome the existing methods shortcomings and contributes to the third party logistics vendors selectes it. And then identified the Misclassified enterprises by K-NN on the base of above analysis. It's proved to be reliable and effective in practical application,and the analysis result may be regarded as one of main foundations for reference.
引用
收藏
页码:1793 / 1798
页数:6
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