• DocumentCode
    2875196
  • Title

    Supply Chain Bullwhip Effect De-Noising Using Wavelet Transform

  • Author

    Shi, Chengdong ; Yu, Lanlan

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Bullwhip effect was inherent in the supply chain system, and it was impossible to eliminate completely, but its risk could be controlled by exploring a lot of effective ways. In this paper, wavelet transform technology was used to deal with the "Burr" (Noise) of bullwhip effect nominal cycle, and the part of high-frequency was filtered, the details of wave peak and trough were retained. All of these can provide a reference for the decision-making of bullwhip effect control and supply chain management. Finally, through analysis a supply chain example, the de-noising market demand information is got, the effectiveness and feasibilities of wavelet transform method is verified.
  • Keywords
    supply chain management; wavelet transforms; bullwhip effect; market demand information de-noising; supply chain system; wavelet transform; Capacity planning; Consumer electronics; Decision making; Fluctuations; Noise reduction; Production planning; Supply chain management; Supply chains; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5366906
  • Filename
    5366906