• DocumentCode
    2046120
  • Title

    Agent-based double auction algorithm for global supply chain system

  • Author

    Kaihara, T.

  • Author_Institution
    Fac. of Inf. Sci., Univ. of Marketing & Distribution Sci., Kobe, Japan
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    678
  • Abstract
    The market mechanism based on a general equilibrium theory in economics solves distributed resource allocation problems by allocating the scheduled resources according to market prices. We propose an agent-based double auction algorithm and demonstrate the applicability of economic analysis to this framework. The product allocation problem in a supply chain is dealt with in detail, as a case study to validate our idea. The proposed algorithm is proved to emerge sophisticated product flows in a supply chain and conduct a Pareto optimal solution on multi-objective problems
  • Keywords
    goods dispatch data processing; management; manufacturing data processing; multi-agent systems; optimisation; resource allocation; Pareto optimal solution; agent-based double auction algorithm; distributed resource allocation; equilibrium theory; market mechanism; market prices; multiobjective problems; multiple agent system; product allocation; product flows; supply chain; Algorithm design and analysis; Companies; Distributed computing; Environmental economics; Problem-solving; Production facilities; Resource management; Scheduling algorithm; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-6456-2
  • Type

    conf

  • DOI
    10.1109/IECON.2000.973230
  • Filename
    973230