• DocumentCode
    3314192
  • Title

    Optimization of Logistics Distribution Network Based on Improved Particle Swarm Optimization

  • Author

    Wen, Lei ; Meng, Fanhua

  • Author_Institution
    Dept. of Econ. & Manage., North China Electr. Power Univ., Beijing
  • Volume
    7
  • fYear
    2008
  • fDate
    18-20 Oct. 2008
  • Firstpage
    659
  • Lastpage
    663
  • Abstract
    In this paper, we study a 4-stage production distribution system that faces forecast demand. The system is made up of four logistics centers: a production facility, center warehouse, distribution sites and retail points. We will solve the logistics centers location problem and determine the transport route. The optimization model considers the factors including fixed cost for logistics opening, handling cost, transportation cost and their treatment capacity. An effective algorithm based on the improved particle swarm optimization algorithm is presented according to the characteristic of optimization problem. Finally, a numerical example is provided to validate the proposed model and solution algorithm. The findings indicate that the model proposed in this paper is a useful tool for solving the logistics distribution network optimization problem.
  • Keywords
    logistics; particle swarm optimisation; 4-stage production distribution system; center warehouse; logistics centers; logistics distribution network optimization; particle swarm optimization; production facility; retail points; transportation cost; Computer networks; Cost function; Distributed computing; Economic forecasting; Logistics; Optimization methods; Particle swarm optimization; Power system economics; Production facilities; Transportation; 4-stage; improved PSO; logistics center; logistics distribution network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2008. ICNC '08. Fourth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-0-7695-3304-9
  • Type

    conf

  • DOI
    10.1109/ICNC.2008.343
  • Filename
    4668058