• DocumentCode
    3156996
  • Title

    The use of spreadsheet and queuing network model to optimize capacity utilization in product development

  • Author

    Marsudi, Muhammad ; Wahab, D.A. ; Haron, Che Hassan Che

  • Author_Institution
    Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia
  • fYear
    2009
  • fDate
    6-9 July 2009
  • Firstpage
    1237
  • Lastpage
    1242
  • Abstract
    Modeling of a manufacturing system enables one to identify the effects of key design parameters on the system performance and as a result make correct decision. This paper proposes a manufacturing system modeling approach using a spreadsheet model based on queuing network theory, in which a static capacity planning model and stochastic queuing model are integrated. The model was used to improve the existing system utilization in relation to product design. The model incorporates a few parameters such as utilization, cycle time, throughput, and batch size. The study also showed that the validity of developed model is good enough to apply and the maximum value of relative error is 10%, far below the limit value 32%.
  • Keywords
    capacity planning (manufacturing); manufacturing systems; product design; product development; queueing theory; spreadsheet programs; capacity utilization; manufacturing system modeling; product design; product development; queuing network model; queuing network theory; spreadsheet model; static capacity planning model; stochastic queuing model; Analytical models; Capacity planning; Manufacturing systems; Mathematical model; Product design; Product development; Queueing analysis; Stochastic processes; Stochastic systems; Throughput; manufacturing system; product design; spreadsheet model; utilization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
  • Conference_Location
    Troyes
  • Print_ISBN
    978-1-4244-4135-8
  • Electronic_ISBN
    978-1-4244-4136-5
  • Type

    conf

  • DOI
    10.1109/ICCIE.2009.5223936
  • Filename
    5223936