• DocumentCode
    2090880
  • Title

    Determination of Safety Stock for Power Enterprises Under Uncertainty

  • Author

    Ma, Lihong ; Lin, Ming

  • Author_Institution
    Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    92
  • Lastpage
    94
  • Abstract
    It is not easy to entirely avoid the uncertainty of supply problem. To solve the problem relays on setting up some necessary safety stocks. Safety stock is an effective management tool for protecting the enterprises against the uncertainty and it provides customers with the promised service level, but a higher safety stock level does increase the supply chain operating cost. Determination of safety stock plays a crucial role in supply chain management. In this paper, we construct a model for a coal-fired power enterprise in a two-stage supply chain system under the background of uncertainty. We show how the variance in demand during lead time can be estimated and present a model for determination of optimal service level with a marginal analysis method, then set up a model for determination of optimal safety stock. Finally, a numerical example is given to illustrate the application of this model.
  • Keywords
    coal; customer services; fuel processing industries; stock control; supply and demand; supply chain management; coal-fired power enterprise; customer service; demand variance; management tool; marginal analysis; optimal service level; safety stock; supply chain management; supply chain operating cost; supply chain system; Computer science; Mathematical model; Power generation; Power generation economics; Power system modeling; Safety; Stochastic processes; Supply chain management; Supply chains; Uncertainty; Coal-Fired Power Enterprise; Lead Time; Optimal Service Level; Safety Stock; Supply Chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.109
  • Filename
    4731382