Overview of construction simulation approaches to model construction processes

Bokor, Orsolya, Florez, Laura, Osborne, Allan and Gledson, Barry J. (2019) Overview of construction simulation approaches to model construction processes. Organization, Technology and Management in Construction: an International Journal, 11 (1). pp. 1853-1861. ISSN 1847-6228

[img]
Preview
Text (Full text)
Bokor et al - Overview of construction simulation approaches to model construction processes OA.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (292kB) | Preview
Official URL: http://dx.doi.org/10.2478/otmcj-2018-0018

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.

Item Type: Article
Uncontrolled Keywords: agent-based modeling, discrete-event simulation, fuzzy logic, hybrid simulation, masonry, scheduling, system dynamics
Subjects: H200 Civil Engineering
K200 Building
Department: Faculties > Engineering and Environment > Architecture and Built Environment
Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User: Paul Burns
Date Deposited: 21 Mar 2019 16:12
Last Modified: 01 Aug 2021 12:36
URI: http://nrl.northumbria.ac.uk/id/eprint/38486

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics