DocumentCode :
3290659
Title :
A Class of Model and Computational Intelligence in Supply Chain Network Design Considering Retailer Satisfaction
Author :
Zhang, Min ; Xiong, Hui
Author_Institution :
Sch. of Inf. Manage., Wuhan Univ., Wuhan, China
fYear :
2009
fDate :
16-17 May 2009
Firstpage :
735
Lastpage :
738
Abstract :
In todaypsilas business, the importance of understanding consumer behavior has never been more important to supply chain members. Retailers are on the key node of supply chain to transfer consumerpsilas requirement, so retailerspsila satisfaction can reflect the efficiency of the supply chain operation. In this paper, a class of model and computational intelligence in supply chain network design considering retailer satisfaction is studied. The problem is divided into two sections, the first one is to evaluate the validity of candidate retailers and the work of filtering inefficient retailers is finished. The second one is to choose different parameters to reflect the satisfaction of retailers. Through these two steps, an efficient network is formed.
Keywords :
consumer behaviour; customer satisfaction; data envelopment analysis; retailing; supply chain management; SCM; computational intelligence; consumer behavior; consumer requirement; consumer satisfaction; data envelopment analysis; retailer satisfaction; supply chain member; supply chain network design; Computational intelligence; Computational modeling; Consumer behavior; Educational institutions; Filtering; Information management; Logistics; Manufacturing; Supply chain management; Supply chains; computational intelligence; network design; retailer satisfaction; supply chain;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits, Communications and Systems, 2009. PACCS '09. Pacific-Asia Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3614-9
Type :
conf
DOI :
10.1109/PACCS.2009.190
Filename :
5232430
Link To Document :
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