Fuzzy Monte Carlo Agent-Based Simulation of Construction Crew Performance

Modeling working shifts in construction projects using an agent-based approach to minimize the spread of COVID-19

“…Notably, it has been used in the existing literature to simulate the spread of epidemics (e.g. [ 53 , 54 ], and to simulate the role of construction workers on construction projects (e.g., [ 23 , 24 , 55 , 56 ].…”

“…When it comes to the literature on construction and COVID-19, recent studies have found that COVID-19 has impacted the construction industry at different levels [ 20 , 23 , 24 ]. These levels can be classified as impacts on the construction field (e.g., safety and health of workers) and impacts outside of the field (e.g., contractual consequences of the pandemic context).…”

Hybrid fuzzy Monte Carlo agent-based modeling of workforce motivation and performance in construction

“…Zadeh (2015) introduced fuzzy set theory to handle subjective uncertainty. In addition, research by Raoufi and Fayek (2020) demonstrates how to integrate fuzzy logic and Monte Carlo simulation in ABM. This fuzzy Monte Carlo simulation methodology uses a combination of probability theory and fuzzy set theory to simultaneously handle random and subjective uncertainties in the same construction model.…”

“…Previous research on construction crew performance focused either on a single experiment or on a scenario-based analysis using limited simulation runs and limited variations of model parameters. Thus, a major contribution of this paper beyond existing work, in particular Raoufi and Fayek (2020), is the implementation of the developed methodology in a novel and extensive parametric study of construction crew performance.…”

Modeling of CPM/LOB integrated Scheduling Technique for Repetitive Construction Projects: Case of Multiple-Crews with Fuzzy Time Data

“…According to Raoufi and Fayek (2020), made three contributions: first, it expands ABM's scope of applicability by showing how to model both random and subjective uncertainty in ABM; second, it provides a novel methodology for integrating fuzzy logic and Monte Carlo simulation in ABM, which allows for the development of fuzzy Monte Carlo agent-based models in construction; and third, it illustrates a fuzzy Monte Carlo agent-based simulation of construction crew performance, which improves the assessment of crew performance by considering both random and subjective uncertainties in model variables.…”