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
Link To Document :
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