• DocumentCode
    496258
  • Title

    Competitive Analysis of Online Price Discount Replacement Problem

  • Author

    Ding, Lili ; Liu, Xinmin ; Kang, Wanglin

  • Author_Institution
    Coll. of Econ. & Manage., Shandong Univ. of Sci. & Technol., Qingdao, China
  • Volume
    1
  • fYear
    2009
  • fDate
    24-26 April 2009
  • Firstpage
    136
  • Lastpage
    139
  • Abstract
    When a paid price discount activity occurs, the decision-maker must decide whether or not and when to pay the additional fees for preferential price in an online fashion. This problem which generalizes the basic leasing problem has been introduced and studied by Fleischer et al. In this paper, we extend the basic model to consider different price discount replacement case and present the optimal deterministic online CA algorithm. Moreover, the risk-reward framework is introduced into the model to allow the decision-makers to manage their risk and utilize their forecasts. We give a new online risk algorithm and derive an improved competitive ratio, which is the function of the risk tolerance lambda and forecast F. It is found that with the competitive risk analysis, the flexible competitive ratio has the decreasing character of the risk tolerance.
  • Keywords
    decision making; economic forecasting; optimisation; pricing; risk analysis; basic leasing problem; competitive risk analysis; decision-making; economic forecast; online price discount replacement problem; optimal deterministic online CA algorithm; preferential price; risk tolerance algorithm; risk-reward framework; Algorithm design and analysis; Conference management; Costs; Economic forecasting; Educational institutions; Predictive models; Risk analysis; Risk management; Switches; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3605-7
  • Type

    conf

  • DOI
    10.1109/CSO.2009.491
  • Filename
    5193660