Title :
Research of unascertained assessment method in retailing reverse logistics risk factors
Author :
Huizhe, Yan ; Lihua, Ma
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
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, a new evaluation method is proposed by analyzing evaluation problem of retailing reverse logistics including the characteristics of uncertain information. Firstly, evaluation index system is established, and grading standards is put forward. Secondly, factor results and index weights are qualitatively described. Thirdly, the qualitative result is transformed to quantities value. Then unascertained number of factor result and index weights is established. Finally, using unascertained number algorithm, the result of evaluation is worked out. The method is verified by a case study.
Keywords :
retailing; reverse logistics; risk management; customer value; evaluation index system; retailing reverse logistics; retailing risk factors; reverse logistics risk factors; unascertained assessment method; Algorithm design and analysis; Engineering management; Information analysis; Manufacturing; Mathematics; Reverse logistics; Risk analysis; Risk management; Supply chain management; Supply chains; evaluation; the retailing; the reverse logistic; the unascertained number algorithm;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234934
