• DocumentCode
    498295
  • Title

    Research on Production Lot Size Based on System Complexity Theory

  • Author

    He, Fei ; Rao, Yunqing ; Shao, Xinyu

  • Author_Institution
    State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    3
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    429
  • Lastpage
    433
  • Abstract
    This research aims at understanding the variation of system complexity when the size of production lot has changed. It first presents a model used to measure the information entropy caused by the lot size when the system is under a static environment. The result shows that the entropy tends to zero when the number of lots decreases. In order to increase the credibility of our result, another important factor influencing the manufacturing system complexity when the lot size has changed are also calculated. Then the system complexity is also measured in a dynamic environment which considers the equipments´ capability, and the result shows that the system complexity is not a monotonic function when the lot size has been changed monotonically.
  • Keywords
    computational complexity; entropy; lot sizing; manufacturing systems; production management; information entropy; manufacturing system complexity; production lot size; system complexity theory; Assembly systems; Complexity theory; Helium; Information entropy; Information theory; Intelligent manufacturing systems; Laboratories; Manufacturing systems; Production systems; Size measurement; assembly line; entropy; lot size; system complexity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.70
  • Filename
    5209130