THIRD-PARTY LOGISTICS SERVICE PROVIDER SELECTION BASED ON FUZZY ENTROPY AND TOPSIS

被引:0
|
作者
Zhang, Huimin [1 ]
机构
[1] Henan Univ Technol, Coll Management, Zhengzhou 450001, Peoples R China
关键词
Third-party logistics; Fuzzy entropy; TOPSIS;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
Third-party logistics (3PL) service provider selection is one of the most critical activities of logistics out-sourcing in a supply chain. The information age and globalization are forcing companies to place a premium upon collaboration as a new source of competitive advantage, so companies are facing significant challenges to evaluate and select appropriate third-party logistics providers. This paper will choose a set of indicators, construct a framework for performance measures and introduce an evaluation method which proceeds as follow: determining the indicator weight applying fuzzy entropy; ranking the 3PL providers with the technique for order preference by similarity to ideal solution (TOPSIS). Finally, several suggestion and future research are discussed.
引用
收藏
页码:205 / 212
页数:8
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