Title :
Using fuzzy optimization model and hybrid intelligent algorithm to solve buyback problem
Author_Institution :
Coll. of Package & Printing Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China
Abstract :
A buyback policy is offered buy the supplier to the downstream retailers in a supply chain. The market demand is characterized as a fuzzy variable due to its uncertainty based on credibility theory. Then it proposes a fuzzy expected value buyback problem programming model. In the end, a fuzzy hybrid intelligent algorithm is designed to solve the model proposed.
Keywords :
fuzzy set theory; marketing; optimisation; supply chains; buyback policy; buyback problem; buyback problem programming model; credibility theory; downstream retailers; fuzzy optimization model; fuzzy variable; hybrid intelligent algorithm; market demand; supply chain; buyback problem; fuzzy variable; hybrid intelligent algorithm;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658830
