Multi-Product Pricing Model Based on Mixed Buying Mode
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 multiproduct 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.
Customer buying mode Multi-Product Pricing Electronic Commerce Genetic Algorithms price-ladder
WAN Fucai HAO Chunji
College of Information Engineering,Shenyang University,Shenyang,China 110044 College of Information Technology,Beihua University,Jilin,China 132013
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
3614-3617
2011-05-23（万方平台首次上网日期，不代表论文的发表时间）