Fuzzy Simulation Techniques in Construction Engineering and Management

Abstract

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex construction systems such as construction processes and project management practices; however, these techniques do not take into account the subjective uncertainties that exist in many construction systems. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. The objectives of this chapter are to show how to integrate fuzzy logic and simulation techniques in construction modelling and to provide methodologies for the development of fuzzy simulation models in construction. In this chapter, an overview of simulation techniques that are used in construction is presented. Next, the advancements that have been made by integrating fuzzy logic and simulation techniques are introduced. Methodologies for developing fuzzy simulation models are then proposed. Finally, the process of selecting a suitable simulation technique for each particular aspect of construction modelling is discussed.

Citation

Raoufi, M., Seresht, N.G., Siraj, N.B. and Fayek, A.R. (2018), "Fuzzy Simulation Techniques in Construction Engineering and Management", Fayek, A.R. (Ed.) Fuzzy Hybrid Computing in Construction Engineering and Management, Emerald Publishing Limited, Leeds, pp. 149-178. https://doi.org/10.1108/978-1-78743-868-220181004