• DocumentCode
    2353049
  • Title

    An Application of Tabu Search Algorithms and Genetic Algorithms in Collaborative Logistics Optimization

  • Author

    Tongpang, Jirapong ; Tantatsanawong, Panjai

  • Author_Institution
    Dept. of Comput., Silpakorn Univ., Nakorn Pathom, Thailand
  • fYear
    2011
  • fDate
    March 29 2011-April 2 2011
  • Firstpage
    699
  • Lastpage
    706
  • Abstract
    This paper discusses a new way to solve the Vehicles Routing Problem (VRP) of logistics with the use of Taboo Search Algorithms (TSA) and optimize the new way and the distribution center based on Genetic Algorithms (GA). This study focuses on the incorporating of sugar industry and Milled Rice Distribution Center Management in Thailand for the export channel. This provides a systematic and framework to solve the cost minimization problem of sugar transports and Milled Rice transports from the mills to a seaports. The results demonstrate, there is not a useful tool for minimizing the cost and new way, but the tool can manage distribution center, and seaport exporting. While the focus of the paper is on sugar supply chain and rice supply chain, much of the information is relevant to Distribution Center Management of other agricultural commodities as well.
  • Keywords
    agricultural products; cost reduction; genetic algorithms; goods distribution; logistics; search problems; sugar industry; agricultural commodities; collaborative logistics optimization; cost minimization problem; genetic algorithms; milled rice distribution center management; rice supply chain; seaports; sugar industry; sugar supply chain; sugar transports; tabu search algorithms; vehicles routing problem; Genetic algorithms; Job shop scheduling; Mathematical model; Sugar industry; Supply chains; Genetic Algorithms; Tabu Search Algorithm; cooperative distribution; distribution center; routing optimized;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SRII Global Conference (SRII), 2011 Annual
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-61284-415-2
  • Electronic_ISBN
    978-0-7695-4371-0
  • Type

    conf

  • DOI
    10.1109/SRII.2011.76
  • Filename
    5958150