the grey comprehensive evaluation model of a third-party reverse ligistics provider selection

被引：2
|
作者：
Yin Zhi-hong [1 ]
Lu Qiang [2 ]
机构：
[1] Daqing Petr Inst, Sch Econ & Management, Daqing, Peoples R China
[2] Daqing Oilfield Corp Ltd, Oil Recovery Plant Three, Daqing, Peoples R China
来源：
FIRST IITA INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2009年
关键词：
third-party reverse logistics providers; analytical hierarchy process (AHP); grey relational analysis (GRA); grey comprehensive evaluation;
D O I：
10.1109/JCAI.2009.61
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
With the development and advancement of reverse logistics concepts and practice, the evaluation and selection of vendors or partners for the specific function of reverse logistics support becomes more important. This paper firstly analyses the framework of selecting a third-party reverse logistics provider. Next, this paper presents a set of evaluation index system for choosing a third-party reverse logistics provider. A grey comprehensive evaluation model based on analytical hierarchy process and grey relational analysis, is then proposed according to features of uncertainty on quantity, quality, time and place of reverse logistics returns. The final section provides some suggestions for further research. This paper provides the reference model for enterprises to choose third-party reverse logistics providers.
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页码：497 / +
页数：3
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