• DocumentCode
    2760002
  • Title

    Multiproduct Batch Plant Scheduling with Hybrid Buffer Storage Based on DNA Evolutionary Algorithm

  • Author

    Niu, Qun ; Gu, Xing-Sheng

  • Author_Institution
    Res. Inst. of Autom., East China Univ. of Sci. & Technol., Shanghai
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    7327
  • Lastpage
    7331
  • Abstract
    Flexibility of the process and quality of the scheduling system can be greatly improved using buffer storage in the actual batch production process. Aiming at the complexity of buffer storage, a new model for multiproduct batch plant scheduling with hybrid buffer storage was proposed, which contained three cases which are infinite buffer storage time, finite buffer storage time and no wait time. A novel algorithm named DNA evolutionary algorithm was adopted and the division and the mutation operator were modified so as to suit multiproduct batch plant scheduling. The results of simulations show the feasibility and effectiveness of the proposed model, meanwhile DNA evolutionary algorithm is testified to solve multiproduct batch plant scheduling problem with buffer storage effectively more easily and effectively comparing with GA algorithm
  • Keywords
    batch processing (industrial); batch production systems; evolutionary computation; industrial plants; mathematical operators; production control; scheduling; DNA evolutionary algorithm; division operator; hybrid buffer storage; multiproduct batch plant scheduling; mutation operator; Batch production systems; Buffer storage; DNA; Evolutionary computation; Genetic mutations; Intelligent control; Scheduling algorithm; Storage automation; Testing; DNA evolutionary algorithm; hybrid buffer storage; multiproduct Batch Plant scheduling; no wait;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714509
  • Filename
    1714509