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2020-01-01

Kazerooni, Matin, Raoufi, Mohammad, Fayek, Aminah Robinson

Construction labor productivity (CLP) has a significant impact on the performance and profitability of construction projects. A construction project can benefit from improved labor productivity in many ways, such as a shorter project life cycle and lower project cost. However, budget and resource...

2018-01-01

Raoufi, Mohammad, Fayek, Aminah Robinson

Recently, agent-based modeling (ABM) has been used to model construction processes and practices because it is capable of handling some of the complexities that arise from the interactions of system components. However, ABM alone cannot take into account the subjective uncertainty that exists in...

2020-01-01

Kedir, Nebiyu Siraj, Raoufi, Mohammad, Fayek, Aminah Robinson

Selecting economically feasible policies for maximizing crew motivation and performance is a multifaceted problem, and each aspect of the process poses considerable unique challenges for construction practitioners. Fuzzy agent-based modeling (FABM) addresses some of the challenges of predicting...

2020-03-01

Raoufi, Mohammad, Fayek, Aminah Robinson

The use of agent-based modeling (ABM) in the analysis of construction processes and practices has increased significantly over the last decade. However, the developed models are not able to address both random and subjective uncertainties that exist in many construction processes and practices....

2021-09-01

Raoufi, Mohammad, Fayek, Aminah Robinson

Labor productivity and performance both significantly influence the overall success of construction projects, and the motivation of crew members is a major factor affecting labor. The construction industry needs better methods of measuring motivation and its impact on performance, which in turn...

2021-01-01

Raoufi, Mohammad, Fayek, Aminah Robinson

Purpose – This paper aims to cover the development of a methodology for hybrid fuzzy Monte Carlo agentbased simulation (FMCABS) and its implementation on a parametric study of construction crew performance. Design/methodology/approach – The developed methodology uses fuzzy logic, Monte Carlo...

2020-07-23

Siraj, Nasir B., Fayek, Aminah Robinson

Traditional risk analysis techniques are ineffective for capturing the dynamic causal interactions and subjective uncertainties involved in assessing risk and opportunity events since they treat risks independently and rely on the availability of sufficient historical data. In this paper, a...

2022-01-24

Tiruneh, Getaneh Gezahegne, Fayek, Aminah Robinson

The majority of competency and performance modeling methods available in the literature are deterministic conceptual, statistical,and/or regression models that cannot capture the subjective uncertainty, complex, and nonlinear relationships inherent in construction, whichmakes accurate prediction...

2022-10-01

Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong

Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...

2022-10-01

Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong H.D.

Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...