• DocumentCode
    3455526
  • Title

    Supply Chain Safety Stock Quantity´s Fractal Forecast and Study

  • Author

    Wang, Jianzhou ; Wang, Yuanyuan ; Sun, Donghuai ; Lu, Haiyan

  • Author_Institution
    Sch. of Math. & Stat., Lanzhou Univ., Lanzhou
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Safety stock, a very important composing of the stock management, which is significant for reducing the cost and increasing interests for an enterprise, is the base of the setting of enterprise´s stocks, so it is crucial for stock management to presume a rational and exact SS. In this paper, introducing fractal theory, a new method based on the fractal collage theorem and the iterative process of fractal interpolation functions was proposed to forecast the safety stock. Based on the fractal collage theorem, it uses the iterated function system whose attractor is close to the historical data to establish the fractional function, and set the forecasting model proposed according to the iterative process of fractional function. Then by an example the rationality and reliability of this method is verified, and the result show that it is helpful indeed to set the reasonable safety stock for enterprise.
  • Keywords
    stock control; supply chain management; supply chains; fractal collage theorem; fractal forecast; fractal interpolation functions; stock management; supply chain safety stock quantity; Costs; Feedforward neural networks; Fractals; Mathematics; Multi-layer neural network; Neural networks; Raw materials; Safety; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1641
  • Filename
    4679549