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Overview of construction simulation approaches to model construction processes

Author

Listed:
  • Bokor Orsolya

    (Northumbria University, Faculty of Engineering and Environment, Newcastle upon Tyne,Tyne, UK)

  • Florez Laura
  • Osborne Allan
  • Gledson Barry J.

    (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.

Suggested Citation

  • Bokor Orsolya & Florez Laura & Osborne Allan & Gledson Barry J., 2019. "Overview of construction simulation approaches to model construction processes," Organization, Technology and Management in Construction, Sciendo, vol. 11(1), pages 1853-1861, March.
    • Handle: RePEc:vrs:otamic:v:11:y:2019:i:1:p:1853-1861:n:5
    DOI: 10.2478/otmcj-2018-0018
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    References listed on IDEAS

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    1. Zhang, Hong & Tam, C. M. & Li, Heng, 2005. "Modeling uncertain activity duration by fuzzy number and discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 164(3), pages 715-729, August.
    2. Michael J. Mawdesley, 2009. "Modelling construction project productivity using systems dynamics approach," International Journal of Productivity and Performance Management, Emerald Group Publishing, vol. 59(1), pages 18-36, December.
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