DocumentCode
2651478
Title
Research on Methods of Reverse Logistic Vendor Selection under Closed-Loop Supply Chain
Author
Ao, CHEN ; Xu-ping, WANG ; Bo-jie, CHEN ; Wu-wei, LI
Author_Institution
Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou
fYear
2007
fDate
20-22 Aug. 2007
Firstpage
879
Lastpage
884
Abstract
The ever-increased environmental pressure and ever-limited resource encourage people to consider closed-loop supply chain (CLSC), which deal with integrating product returns into the total supply chain picture over the lifecycle of the product, thereby recovering a maximum amount of value. However, as for the key enterprise of every closed-loop supply chain, the importance of reverse logistic vendor is incontrovertible. After the review of connected literatures in recent years, combined with the characteristics of the relationship between key enterprise and reverse logistic vendor, relying on the synthesis of theoretical analysis and statistical test, integrated model which is the analytical hierarchical process (AHP) method based on the data processing of data envelopment analysis (DEA) is put forward. Finally, Empirical study is given to test the feasibility of the new model (DEA-AHP) produced in this paper.
Keywords
closed loop systems; data envelopment analysis; statistical testing; supply chains; AHP method; DEA; analytical hierarchical process; closed-loop supply chain; data envelopment analysis; environmental pressure; reverse logistic vendor; reverse logistic vendor selection; statistical test; total supply chain; Conference management; Data envelopment analysis; Environmental management; Mathematical model; Resource management; Reverse logistics; Supply chain management; Supply chains; Technology management; Testing; DEA-AHP; closed-loop supply chain; reverse logistic vendor; vendor selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-7-88358-080-5
Electronic_ISBN
978-7-88358-080-5
Type
conf
DOI
10.1109/ICMSE.2007.4421957
Filename
4421957
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