• DocumentCode
    2523477
  • 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
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    3606
  • Lastpage
    3609
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968847
  • Filename
    5968847