DocumentCode :
2185652
Title :
Harnessing the power of simulation in the project management / decision support aspects of the construction industry
Author :
Lucko, Gunnar ; Benjamin, Perakath C. ; Madden, Michael G.
Author_Institution :
Dept. of Civil Eng., Catholic Univ. of America, Washington, DC, USA
fYear :
2008
fDate :
7-10 Dec. 2008
Firstpage :
2479
Lastpage :
2487
Abstract :
This paper reviews the history of construction simulation systems in light of their graphical representation of complex scenarios. The simulation of construction operations has been a growing field of research over the last several decades. Since the introduction of the first simulation system, which was based on the activity cycle diagram paradigm of modeling, numerous additional tools have been introduced, each building on and expanding the modeling and analytical capabilities of previous approaches. However, despite such rich body of knowledge, which by now is expanding into areas such as visualization, animation, and virtual reality applications for construction project management, the beneficial application of simulation in practice has been marginal. This paper describes both historical and practical reasons for this situation and presents an ontology-based approach that can harness existing information in construction project management, especially the scheduling function, and has the potential to significantly improve its operational planning and optimization.
Keywords :
construction industry; decision support systems; ontologies (artificial intelligence); project management; scheduling; construction industry; construction simulation system; contruction project management; decision support aspect; graphical representation; ontology-based approach; scheduling function; Analytical models; Animation; Buildings; Construction industry; History; Job shop scheduling; Ontologies; Project management; Virtual reality; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference, 2008. WSC 2008. Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2707-9
Electronic_ISBN :
978-1-4244-2708-6
Type :
conf
DOI :
10.1109/WSC.2008.4736357
Filename :
4736357
Link To Document :
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