DocumentCode :
495680
Title :
A Fuzzy Evaluation Model of the Performance Evaluation for the Reverse Logistics Management
Author :
Jun, Wang
Author_Institution :
Zhongkai Univ. of Agric. & Technol., Guangzhou, China
Volume :
1
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
724
Lastpage :
727
Abstract :
The objective of this study is to construct an easy operational model to evaluate the performance of the reverse logistics management. To fulfill this mission, the main contributions were made as following: a) Defining the indicators of each factors related with performance of the RL management. CSFs (critical success factors) method was employed in this phase. b) Arranging the indicators into an indicator-tree by AHP (analytic hierarchy process) methods. c) Using the fuzzy evaluation method build up a fuzzy evaluation model to evaluate the performance of the RL management in a company. The model presented in this research showed an easy way to evaluate the performance of RL management in a company. This should be a better try in this field.
Keywords :
fuzzy set theory; reverse logistics; trees (mathematics); CSF method; RL management; analytic hierarchy process method; critical success factor method; fuzzy evaluation model; indicator-tree mathematics; reverse logistics management; Agricultural engineering; Agriculture; Computer science; Costs; Engineering management; Legislation; Performance analysis; Process planning; Reverse logistics; Technology management; Fuzzy Synthetic Evaluation; Performance Evaluation; Reverse Logistics Management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.789
Filename :
5171269
Link To Document :
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