Original scientific paper
https://doi.org/10.2478/otmcj-2018-0018
Overview of construction simulation approaches to model construction processes
Orsolya Bokor
orcid.org/0000-0002-4386-0532
; orthumbria University, Faculty of Engineering and Environment, Newcastle upon Tyne, United Kingdom
Laura Florez
; Northumbria University, Newcastle-upon-Tyne, United Kingdom
Allan Osborne
; Northumbria University, Newcastle-upon-Tyne, United Kingdom
Barry J. Gledson
orcid.org/0000-0002-4273-0832
; Northumbria University, Newcastle-upon-Tyne, United Kingdom
Abstract
Construction simulation is a versatile technique
with numerous applications. The basic simulation
methods are discrete-event simulation (DES), agent-based
modeling (ABM), and system dynamics (SD). Depending
on the complexity of the problem, using a basic simulation
method might not be enough to model construction works
appropriately; hybrid approaches are needed. These are
combinations of basic methods, or pairings with other
techniques, such as fuzzy logic (FL) and neural networks
(NNs). This paper presents a framework for applying simulation
for problems within the field of construction. It
describes DES, SD, and ABM, in addition to presenting
how hybrid approaches are most useful in being able to
reflect the dynamic nature of construction processes and
capture complicated behavior, uncertainties, and dependencies.
The examples show the application of the framework
for masonry works and how it could be used for
obtaining better productivity estimates. Several structures
of hybrid simulation are presented alongside their inputs,
outputs, and interaction points, which provide a practical
reference for researchers on how to implement simulation
to model construction systems of labor-intensive activities
and lays the groundwork for applications in other construction-
related activities.
Keywords
agent-based modeling; discrete-event simulation; fuzzy logic; hybrid simulation; masonry; scheduling; system dynamics
Hrčak ID:
224575
URI
Publication date:
1.2.2019.
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