• DocumentCode
    3272668
  • Title

    Complex dynamic behaviors of supply chain system with constraint of production capacity

  • Author

    Wang, Jing ; Hu, Zhijia ; Wang, Xun

  • Author_Institution
    Sch. of Econ. & Manage., BeiHang Univ., Beijing, China
  • fYear
    2010
  • fDate
    28-30 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A supply chain system model with constraint of production capacity is established based on the APVIO (Automatic Pipeline, Variable Inventory and Order) policy. A series of simulating experiments are employed to examine the characteristics of this model. The simulating results reveal the complex influence of capacity constraint on the supply chain system. For one-echelon systems, complex behaviors can be simplified by the constraint. However, for two-echelon systems, when the upstream firm is constrained by production capacity, chaotic ordering behaviors may occur. In this paper, Lyapunov exponent and bifurcation diagrams show their strong abilities for measuring the system complexity level. The findings of this research suggest that if supply chain members are subject to production capacity, they should adopt effective measures to avoid operating complexity and make use of beneficial effects induced by production capacity.
  • Keywords
    Lyapunov methods; bifurcation; chaos; supply chain management; supply chains; APVIO policy; Lyapunov exponent; bifurcation diagrams; capacity constraint; chaotic ordering behaviors; complex dynamic behaviors; one-echelon systems; production capacity; supply chain system; system complexity level; two-echelon systems; Bifurcation; Chaos; Inventory control; Inventory management; Logistics; Manufacturing; Pipelines; Production systems; Supply chain management; Supply chains; capacity constraint; chaos; production capacity; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2010 7th International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4244-6485-2
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2010.5530156
  • Filename
    5530156