• DocumentCode
    2830120
  • Title

    A Decision Support System for Supply Chain Management Based on PSO and GIS

  • Author

    Lei, Jian-Jun ; Li, Jian

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Hubei Univ. of Educ., Wuhan, China
  • fYear
    2009
  • fDate
    11-12 July 2009
  • Firstpage
    58
  • Lastpage
    61
  • Abstract
    A decision support system to solve the multi-depot vehicle routing problems with fixed distribution of vehicles (MDVRPFD) is introduced. In the system, the data of the customers, the suppliers, and the topologies of the roads are stored and managed by the geographic information system (GIS), and a modified genetic particle swarm optimization method (MGPSO) is employed to provide the routings of the vehicles. In the MPSO, the two-stage approach is employed which decomposes the MDVRPFD into two independent sub problems, viz., assignment and routing, and solves them separately. The system has been implemented to a practical supply chain management system and provided decision supports for both vehicles routing and decision-making on depots distributing. The simulation results have shown the feasibility and effectiveness of the system.
  • Keywords
    decision support systems; geographic information systems; goods distribution; particle swarm optimisation; production engineering computing; supply chain management; transportation; GIS; PSO; decision support system; decision-making; geographic information system; modified genetic particle swarm optimization method; multidepot vehicle routing problems; supply chain management; vehicles fixed distribution; Automotive engineering; Decision support systems; Genetics; Geographic Information Systems; Particle swarm optimization; Roads; Routing; Supply chain management; Topology; Vehicles; Vehicle routing; particle swarm optimization; supply chain management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-0-7695-3728-3
  • Type

    conf

  • DOI
    10.1109/CASE.2009.55
  • Filename
    5194390