DocumentCode :
2798585
Title :
Retailing Reverse Logistics Risk Factors Assessment Based on Triangular Fuzzy Number
Author :
Yan, Huizhe ; Yan, Pingjian ; Ma, Lihua
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
Volume :
1
fYear :
2009
fDate :
Nov. 30 2009-Dec. 1 2009
Firstpage :
126
Lastpage :
129
Abstract :
The reverse logistics is necessary for retailing to reinforce competitive advantage, increase customer value and improve its whole performance of supply chain. The retailing reverse logistic is either a premise of effective decision or important method for enterprise to decrease operating risk and improve service. In the paper, first, the theoretical triangular fuzzy number is put forward. And the risk factors of the retailing reverse logistics is analyzed and arranged. Then the index system of the retailing reverse logistics is built based on macro-risk , business risk , systematic risk and manager risk. At last ,the index evaluation is worked out .And the triangular fuzzy number is an operable approach. So it is an effective and scientific quantitative analysis for the retailing reverse logistics.
Keywords :
fuzzy set theory; retailing; reverse logistics; risk management; supply chain management; business risk; customer value; enterprise; index evaluation; macrorisk; manager risk; operating risk; retailing reverse logistics risk factors assessment; service improvement; supply chain; systematic risk; triangular fuzzy number; Agricultural engineering; Fuzzy sets; Fuzzy systems; Job shop scheduling; Knowledge acquisition; Knowledge management; Reverse logistics; Risk analysis; Risk management; Supply chains; the evaluation index system; the reverse logistics; the risk factors; the triangular fuzzy number;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
Type :
conf
DOI :
10.1109/KAM.2009.230
Filename :
5362257
Link To Document :
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