• DocumentCode
    2839997
  • Title

    Vehicle routing problem based model and ant colony optimization algorithm for group charge problem of ingot casting

  • Author

    Hui, Huang ; Nai-wei, Tu ; Tian-mu, Ma ; Bing-lin, Zheng ; Tian-you, Chai

  • Author_Institution
    Key Lab. of Process Ind. Autom., Minist. of Educ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    5111
  • Lastpage
    5115
  • Abstract
    Group charge problem of ingot casting is one of iron & steel production planning and scheduling problems. Compares with the steel-making - continuous casting´s group charge problem, the ingot casting´s group charge problem has the difference in the process constraint and planning rules. On the basis of analyzing the difference between group charge problem of ingot casting and group charge problem of steelmaking, VRP model for group charge problem of ingot casting is established in consideration of technological regulation and process constraint. Aiming at characteristic of model, ant colony optimization (ACO) algorithm is proposed for solving the model. The experimental result using practical production data shows the proposed model and algorithm are effective and feasible.
  • Keywords
    casting; optimisation; production planning; scheduling; transportation; ant colony optimization algorithm; group charge problem; ingot casting; iron production planning; iron scheduling; steel production planning; steel scheduling; vehicle routing problem based model; Ant colony optimization; Automation; Casting; Educational products; Iron; Laboratories; Optimization methods; Routing; Steel; Vehicles; ant colony optimization algorithm; charge plan; ingot casting; vehicle routing problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5194979
  • Filename
    5194979