• DocumentCode
    3064212
  • Title

    Decision-Support for Optimizing Supply Chain Formation Based on CSET Model

  • Author

    Hang, Yang ; Fong, Simon ; Yan, Zhuang

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. of Macau, Macau, China
  • fYear
    2009
  • fDate
    20-23 July 2009
  • Firstpage
    106
  • Lastpage
    113
  • Abstract
    Supply chain formation problem is one of the important research topics in e-commence. In an e-marketplace where buyers and sellers meet and trade online, dynamic supply chains can be formed among them by mediating agents. SET and CSET are two typical make-to-order supply chain models. CSET represents a scenario that has a central authority in charge of the formation, management and dissolution of a supply chain. The principal authority selects the partners under certain principles which may either aim for maximizing profits of the whole supply chain or for ensuring every partner to receive a job for communal prosperity. In SET, every supply chain partner uses local knowledge to compete for jobs at each supply chain level. We have implemented a Java-based simulator for simulating the process of dynamic supply chain formation. The simulator can operate in both modes whose results may be useful in decision-support in supply chain planning.
  • Keywords
    Internet; decision making; electronic commerce; electronic trading; profitability; software agents; supply chain management; CSET model; Java-based simulator; decision-support; dynamic supply chain; e-commence; e-marketplace; make-to-order supply chain model; online trade; profit maximization; software agent; supply chain formation optimization problem; supply chain planning; Business; Companies; Computational modeling; Cost function; Java; Optimization methods; Resource management; Supply chain management; Supply chains; Visualization; Automated negotiation; CSET model; Simulation; Supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Commerce and Enterprise Computing, 2009. CEC '09. IEEE Conference on
  • Conference_Location
    Vienna
  • Print_ISBN
    978-0-7695-3755-9
  • Type

    conf

  • DOI
    10.1109/CEC.2009.51
  • Filename
    5210810