• DocumentCode
    2962889
  • Title

    Contributors to lead time in construction supply chains: case of pipe supports used in power plants

  • Author

    Arbulu, R.J. ; Tommelein, Iris D. ; Walsh, Kenneth D. ; Hershauer, James C.

  • Author_Institution
    Civil & Environ. Eng. Dept., California Univ., Berkeley, CA, USA
  • Volume
    2
  • fYear
    2002
  • fDate
    8-11 Dec. 2002
  • Firstpage
    1745
  • Abstract
    This paper describes process models that characterize the design phase in the supply chain of pipe supports used in power plants. The models are used to study how production system design factors such as batching, uncertainty, and multitasking throughout this phase hamper supply chain performance. These factors all cause an increase in lead time. The models build on the STROBOSCOPE discrete-event simulation engine and illustrate several deterministic and probabilistic simulation scenarios including different batch sizes, uncertainty levels, and allocation percentages of shared resources. Based on the analysis of the simulation results, this paper recommends performance improvement opportunities that apply not only to the supply chain of pipe supports but generally to the delivery of capital projects.
  • Keywords
    construction industry; discrete event simulation; power plants; project management; supply chain management; STROBOSCOPE discrete-event simulation engine; allocation percentages; batch sizes; batching; capital project delivery; construction supply chains; deterministic simulation; lead time; multitasking; performance improvement; pipe supports; power plants; probabilistic simulation; process models; production system design factors; shared resources; uncertainty levels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2002. Proceedings of the Winter
  • Print_ISBN
    0-7803-7614-5
  • Type

    conf

  • DOI
    10.1109/WSC.2002.1166460
  • Filename
    1166460