Overview of construction simulation approaches to model construction processes

Orsolya Bokor, Laura Florez Perez, Allan Osborne, Barry Gledson

Research output: Contribution to journalArticlepeer-review

26 Citations (Scopus)
68 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)1853-1861
Number of pages9
JournalOrganization, Technology and Management in Construction: an International Journal
Issue number1
Publication statusPublished - 8 Mar 2019


Dive into the research topics of 'Overview of construction simulation approaches to model construction processes'. Together they form a unique fingerprint.

Cite this