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
来源
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON PRODUCT INNOVATION MANAGEMENT, VOLS I AND II | 2008年
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
相关论文
共 22 条
  • [1] Use of inhalable Cr+6 exposures to characterize urinary chromium concentrations in plating industry workers
    Chen, JL
    Guo, YL
    Tsai, PJ
    Su, LF
    [J]. JOURNAL OF OCCUPATIONAL HEALTH, 2002, 44 (01) : 46 - 52
  • [2] DONG DJ, 1993, APPL GUIDES SAS STAT, P143
  • [3] FANG KT, 1989, PRACTICAL MULTIVARIA, P291
  • [4] GAO HX, 2002, PRACTICAL STAT ANAL, P175
  • [5] GAO HX, 2005, APPL MULTIVARIATE ST, P256
  • [6] GI SH, 2007, J ZHENGZHOU I SUR MA, P387
  • [7] HE HW, 1994, J SEISMOLOGICAL MAR, P231
  • [8] HE XM, 2004, FOREIGN MED BIOMEDIC, P136
  • [9] HONG N, 2001, SAS WINDOWS STAT ANA, P203
  • [10] HU LP, 2001, WINDOWS SAS 6 12 8 0, P516