• DocumentCode
    555642
  • Title

    Optimization of wind turbine vane manufacture based on queuing theory

  • Author

    Dai, Qing-hui ; Li, Sha

  • Author_Institution
    Energy Power & Mech. Eng. Sch., North China Electr. Power Univ., Baoding, China
  • Volume
    Part 2
  • fYear
    2011
  • fDate
    3-5 Sept. 2011
  • Firstpage
    808
  • Lastpage
    810
  • Abstract
    Wind turbine vane is the key components of wind power generators effectively capture the wind. RTM is a manufacture technology of advanced composite materials, low cost, medium batch blade. Some random factors often lead to the production schedule can not be predetermined program normally. It can help reduce production costs that with the start-up costs were study of production scheduling on single injection machine vane manufacture. It is focused on the applications of queuing theory in the anemoscope processing problems of wind turbine. After a statement of the basic problem, various situations involving possibility knowledge are investigated. The single injection machine vane manufacture model based on N-policy M/G/1 is established. Making the lowest total cost of the system as the objective function to optimize the problem, it is found the most optimal number of buffer vane.
  • Keywords
    blades; machinery production industries; queueing theory; scheduling; wind turbines; M/G/1 queuing theory; anemoscope processing; buffer vane; production cost; production scheduling; single injection machine vane manufacture; start-up cost; wind power generator; wind turbine vane manufacture; Blades; Educational institutions; Operations research; Queueing analysis; Wind turbines; N-policy; Queuing theory; system costs; vane;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-61284-446-6
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2011.6035282
  • Filename
    6035282