• DocumentCode
    2501818
  • Title

    Development of the complexity measure for assembly line systems using entropy concept

  • Author

    He, Fei ; Rao, Yunqing ; Zhang, Chaoyong ; Shao, Xinyu

  • Author_Institution
    State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    9037
  • Lastpage
    9042
  • Abstract
    This paper aims at understanding the complexity of the assembly line systems, and the entropy is introduced to modeling the assembly line system. In order to describe the assembly line more exactly, three kinds of complexity are classified and measured, which is structure complexity, process complexity and operation complexity. The structure complexity is used to measure the level of complexity about the assembly line itself, the process complexity can measure the complexity when the assembly line produce only one product, and the operation complexity can describe the complexity when the assembly line produces a batch of products under given scheduling rule. The operation complexity and process complexity are both decomposed into static and dynamic complexity. Finally two kinds of effectiveness of schedule are measured and applied to forecast the number of buffers between two assembly lines when the effectiveness of schedule is under given value.
  • Keywords
    assembling; batch processing (industrial); entropy; scheduling; assembly line systems; entropy concept; operation complexity; process complexity; scheduling rule; structure complexity; Assembly systems; Chaos; Entropy; Helium; Information theory; Intelligent control; Job shop scheduling; Manufacturing automation; Manufacturing systems; Paper technology; Assembly Line; Complexity; Effectiveness of schedule; Entropy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594358
  • Filename
    4594358