• DocumentCode
    1778851
  • Title

    Research on supply chain network equilibrium problem with multi-type suppliers

  • Author

    Zhang Gui-tao ; Sun Hao ; Hu Jin-song

  • Author_Institution
    Sch. of Manage. Sci. & Eng., Qingdao Univ., Qingdao, China
  • fYear
    2014
  • fDate
    25-27 June 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A supply chain network equilibrium problem with two-type suppliers is investigated, in which the manufacturer´s risk-averse character and the price rigidities of consumer market are considered. The behaviors of various decision makers including the suppliers, the manufactures, the retailers and the consumers are modeled via finite-dimensional variational inequality, respectively. Then the governing supply chain network equilibrium model is established. The logarithmic-quadratic proximal prediction-correction algorithm is designed to solve the model. Finally numerical examples are given to analyze the impact of price ceiling, raw material conversion rates under different BOM, and risk-averse degree of the manufacturer upon the network equilibrium and a series of management insights are obtained.
  • Keywords
    predictor-corrector methods; pricing; supply chain management; BOM; consumer market; decision makers; finite-dimensional variational inequality; logarithmic-quadratic proximal prediction-correction algorithm; manufacturer risk-averse character; multitype suppliers; price ceiling; price rigidity; raw material conversion rates; retailers; supply chain network equilibrium problem; two-type suppliers; Artificial neural networks; Cost function; Government; Manganese; Raw materials; Supply chains; multi-type suppliers; price rigidities; risk averse; supply chain network; variational inequalities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Systems and Service Management (ICSSSM), 2014 11th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-3133-0
  • Type

    conf

  • DOI
    10.1109/ICSSSM.2014.6874124
  • Filename
    6874124