• DocumentCode
    2728210
  • Title

    Notice of Retraction
    Competitive analysis of price uncertainty inventory problem

  • Author

    Weimin Ma ; Yueqing Pan

  • Author_Institution
    Sch. of Econ. & Manage., Tongji Univ., Shanghai, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    179
  • Lastpage
    182
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    In this paper, we consider the inventory problem in which decisions on purchasing time and quantity should be made by an online player without knowledge of future price of finished goods. The problem is studied from the perspective of competitive analysis. The competitive ratio of an online strategy relative to a given input instance is the ratio of the strategy´s performance to the offline optimal. Under the online algorithm approach, we formulate two models and dprice-threat-based algorithm is established. Following that, numerical examples concerning competitive analysis for the algorithms are given. Finally, some future research directions are pointed out.
  • Keywords
    inventory management; pricing; competitive analysis; online player; online strategy; price threat based algorithm; price uncertainty inventory problem; Algorithm design and analysis; Biological system modeling; Computer science; Economics; Equations; Games; Stochastic processes; competitive analysis; inventory problem; online algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-9699-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2011.5982284
  • Filename
    5982284