Title :
Multi-product pricing model based on mixed buying mode
Author :
Fucai, Wan ; Chunji, Hao
Author_Institution :
Coll. of Inf. Eng., Shenyang Univ., Shenyang, China
Abstract :
We consider a class of models of consumer purchasing behavior, each of which relates observed data on a consumer´s requirements and budget constraint to subsequent purchasing tendencies. The available data on consumer preferences together with sophisticated analytical tools enables companies´ increases in profit through optimization of prices. We can study for the multi-product pricing problem based on this available data. Based on the description, three multi-product pricing modes include min-buying mode, max-buying mode, and mixed-buying mode, were presented. Proposed models were solved through genetic algorithms. Optimal solution of the given examples shows that this model is effective for enterprises.
Keywords :
consumer behaviour; genetic algorithms; minimax techniques; pricing; budget constraint; consumer purchasing behavior; genetic algorithm; max-buying mode; min-buying mode; mixed buying mode; multiproduct pricing model; price optimization; Companies; Data models; Genetic algorithms; Optimization; Pricing; Vehicles; Web sites; Customer buying mode; Electronic Commerce; Genetic Algorithms; Multi-Product Pricing; price-ladder;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968847