DocumentCode
1814839
Title
Rapid deployment of simulation models for building construction applications
Author
Lucko, Gunnar ; Swaminathan, Kannan ; Benjamin, Perakath C. ; Madden, Michael G.
Author_Institution
Dept. of Civil Eng., Catholic Univ. of America, Washington, DC, USA
fYear
2009
fDate
13-16 Dec. 2009
Firstpage
2733
Lastpage
2744
Abstract
This paper presents a knowledge based approach to increase the use of simulation in the construction industry without its users having to become or hire experts in simulation techniques. The premise of this approach is to use existing process-related schedule information as inputs to create a functioning simulation model with little or no user intervention. It explains analytical capabilities and limitations of schedules and simulation, reviews previous discrete event simulation studies, and discusses integrating knowledge from this domain. It describes the architecture of the WorkSim® system. A case study presents processes of a real construction project. The conceptual and pragmatic feasibility of converting schedules into simulations is tested with its representative sample dataset. Modeling and analyzing this case study establishes the technical viability of the ideas discussed in the paper. Future work will examine challenges to the quality of such models, e.g. their resolution, required resource data, and duration distributions.
Keywords
computational linguistics; construction industry; production engineering computing; scheduling; WorkSim® system; construction industry; functioning simulation model; knowledge based approach; process-related schedule information; rapid deployment; representative sample dataset; simulation models; Analytical models; Application software; Buildings; Civil engineering; Construction industry; Costs; Discrete event simulation; Job shop scheduling; Knowledge based systems; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Simulation Conference (WSC), Proceedings of the 2009 Winter
Conference_Location
Austin, TX
Print_ISBN
978-1-4244-5770-0
Type
conf
DOI
10.1109/WSC.2009.5429255
Filename
5429255
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