Title
Comparison of manual and automated simulation generation approaches and their use for construction applications
Abstract
This paper compares two fundamentally different approaches and their efforts to create functional simulation models to analyze and optimize construction operations. It contrasts the traditional manually created discrete-event simulation with an automated simulation model generation engine. While input data remain the same for both, the former requires a user to extensively determine, creates, and connects the different elements, followed by an often time-consuming verification to correct flaws in details. The latter has the proven potential to radically reduce the time, cost, and skills of creating complex models by using process templates from which models for construction applications can be rapidly deployed. Moving from the traditional paradigm to automated, yet user-supervised modeling can finally make the rich body of knowledge in simulation accessible to practitioners, who can reap new benefits from being able to rehearse their projects in the computer and optimize their processes before any costly physical resources are committed.
Year
DOI
Venue
2010
10.1109/WSC.2010.5679006
Winter Simulation Conference
Keywords
Field
DocType
costly physical resource,complex model,different element,optimize construction operation,construction application,discrete-event simulation,traditional paradigm,different approach,functional simulation model,automated simulation model generation,automated simulation generation approach,simulation model,body of knowledge,computational modeling,construction industry,discrete event simulation,user interfaces
Object-oriented modeling,Body of knowledge,Systems engineering,Numerical models,Computer science,Load modeling,Simulation,Construction industry,User interface,Functional simulation,Discrete event simulation
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-4244-9864-2
1
PageRank 
References 
Authors
0.35
13
4
Name
Order
Citations
PageRank
Gunnar Lucko1175.04
Perakath C. Benjamin215124.77
Kannan Swaminathan341.12
Michael G. Madden439431.28