• DocumentCode
    1910740
  • Title

    Clustered simulation for the simulation of large repetitive construction projects

  • Author

    Kandil, Amr ; Ezeldin, Ahmed Samer ; Farghal, Sherif ; Mahfouz, Tarek

  • Author_Institution
    Sch. of Civil Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    3025
  • Lastpage
    3036
  • Abstract
    Construction planning methods have been in continuous evolution due to the increasing complexity of construction projects. Construction simulation modeling is one of the later stages of this evolution that has received much attention in research. Many simulation based construction planning methods developed modeling methods that attempt to cluster project activities into smaller sub-models that enhance model reusability. Many of these modeling methods, however, create new modeling elements that are not familiar to traditional construction simulation modelers. Therefore, the objective of this paper is to develop a method for clustering activities of large and repetitive construction projects for enhancing the reusability of those simulation models. The developed method does not create any new modeling elements and is called Clustered Simulation Modeling (CSM). CSM was evaluated in modeling an actual large-scale repetitive construction projects, and the results have illustrated the effectiveness of the method and the proposed clustering scheme.
  • Keywords
    civil engineering; critical path analysis; discrete event simulation; modelling; planning; project engineering; clustered simulation modeling; construction modeling methods; construction planning methods; large scale repetitive construction projects simulation; Computational modeling; Computers; Cyclones; Electric breakdown; Joining processes; Planning; Probabilistic logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5678996
  • Filename
    5678996