• DocumentCode
    502716
  • Title

    Improved Niche PSO to the reverse logistics network design model

  • Author

    Quanyong, Yu ; ZhanGuo, Wei

  • Author_Institution
    Center of Network Inf., Mudanjiang Normal Coll., Mudanjiang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    8-9 Aug. 2009
  • Firstpage
    513
  • Lastpage
    516
  • Abstract
    The recycle point (recycle bin, recycle center) location problem is one of the most important decision-making in the logistics management. In this paper, we analyses the characteristics and the influencing factors of the recycle point location problem, considering more variables: initial collection cost, revenue of sell two-hand products selling, revenue of reclaimed products selling, then proposes a three-level reverse logistics network design optimization model that can connect the customs, recycle point and manufacturers. This paper we put forward an Improved niche particle swarm optimization and a new coding method to search the feasible network and use the Vogel to determine the volume of transport. Ultimately, the case study indicates that particle swarm optimization is a valid approach to resolve this kind of problems.
  • Keywords
    costing; decision making; particle swarm optimisation; recycling; reverse logistics; Vogel; decision-making; initial collection costing; logistics management; niche particle swarm optimization; optimization; recycle bin; recycle center; recycle point location problem; reverse logistics network design model; Computer network management; Computer networks; Cost function; Design optimization; Particle swarm optimization; Pulp manufacturing; Recycling; Reverse logistics; Virtual manufacturing; Waste management; Niche; PSO; reverse logistics network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-4247-8
  • Type

    conf

  • DOI
    10.1109/CCCM.2009.5267492
  • Filename
    5267492