• DocumentCode
    551589
  • Title

    Determine raw material quantity for multiple station production line

  • Author

    Liu, Zhi ; Wang, Shaojun

  • Author_Institution
    Dept. of Ind. Eng., Wuhan Univ. of Technol., Wuhan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    20-21 Aug. 2011
  • Firstpage
    387
  • Lastpage
    390
  • Abstract
    In manufacturing, the work-piece will be processed in multiple stations to produce the finished goods. Each station needs to maintain a certain amount of raw materials and semi-finished products to keep the production run continuously. This stock in each station creates the dead cash flow and large amount of waste for the production. This research aims to find a reasonable amount of stock in each station so that it can not only maintain a smooth production, but also makes the enterprise as a whole in a lean manufacturing environment. To find the best storage strategy, a mathematical model which minimizes work-in-process (WIP) has been worked out considering the takt time, raw materials replenishment time, and cycle time of each station, and considering overproduction as a factor that will effect to enterprise. Sensitive analysis for this model is conducted with the numerical examples provided in this paper.
  • Keywords
    continuous production; lean production; mathematical programming; raw materials inventory; sensitivity analysis; work in progress; WIP; continuous production; lean manufacturing; mathematical model; multiple station production line; raw material quantity; raw materials replenishment time; sensitivity analysis; station cycle time; stocks; storage strategy; takt time; work-in-process; Manufacturing; Mathematical model; Production; Raw materials; Software; Transportation; Visualization; lean manufacturing; storage policy; takt time; work-in-process;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control and Industrial Engineering (CCIE), 2011 IEEE 2nd International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9599-3
  • Type

    conf

  • DOI
    10.1109/CCIENG.2011.6008040
  • Filename
    6008040