• DocumentCode
    2671167
  • Title

    Complexity measure of supply chain networks

  • Author

    Zhu, Song ; Xu, Yong

  • Author_Institution
    Coll. of Sci., China Univ. of Min. & Technol., Xuzhou, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    2220
  • Lastpage
    2224
  • Abstract
    In this paper, we use the information entropy method measure and analyze the complexity of supply chain networks. We observe the supply chain networks complexity under the influence of three factors: demand variance pattern, demand information sharing, and lead time. This study shows that, in general speaking sharing demand information, little lead time, and little demand variance can decrease its entropy. Counter-intuitively, under not sharing demand information condition, the customer demand variance decrease may increase the complexity between the supplier order and retailer order. Under sharing customer demand information condition, decrease the lead time may have increase the complexity also between the supplier order and retailer order.
  • Keywords
    computational complexity; entropy; retailing; supply and demand; supply chain management; complexity measure; customer demand information sharing; demand variance pattern; information entropy method; lead time; retailer order; supplier order; supply chain network complexity; Complexity theory; Educational institutions; Entropy; Materials; Supply chains; Time measurement; Uncertainty; Complexity; Entropy; Supply chain networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244356
  • Filename
    6244356