• DocumentCode
    2167758
  • Title

    Simulation experiment for improving construction processes

  • Author

    Wang, Shihyi ; Halpin, Daniel W.

  • Author_Institution
    Div. of Constr. Eng. & Manage., Purdue Univ., West Lafayette, IN, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    5-8 Dec. 2004
  • Firstpage
    1252
  • Abstract
    From the perspective of flow analysis, the more complex the project, the more wastes are prone to build up, due to the increasing number of interfaces between activities. When processes are further expanded beyond the jobsite to the scale of a supply chain, the complexity is usually beyond human perception. In order to provide a systematic approach to help management make correct and timely decisions, an analytical approach capable of efficiently and economically modeling the complicated processes and to address various managerial questions is necessary. An analytical framework combining simulation, design of experiment, regression analysis, and mathematical programming is proposed to facilitate management to determine the optimal design for a construction process under various constraints. A simplified concrete delivery process is used as an example to illustrate how the framework is implemented. Some implementation issues and other potential applications are discussed.
  • Keywords
    civil engineering computing; construction; design of experiments; mathematical programming; regression analysis; simulation; analytical framework; construction process improvement; design of experiment; flow analysis; mathematical programming; optimal construction process design; process modeling; regression analysis; simplified concrete delivery process; simulation experiment; Agriculture; Analytical models; Computational modeling; Computer simulation; Cyclones; Design for experiments; Physics computing; Productivity; Sensitivity analysis; US Department of Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2004. Proceedings of the 2004 Winter
  • Print_ISBN
    0-7803-8786-4
  • Type

    conf

  • DOI
    10.1109/WSC.2004.1371457
  • Filename
    1371457