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- 9Fayek, Aminah Robinson
- 5Raoufi, Mohammad
- 3Siraj, Nasir B.
- 2Monzer, Natalie
- 1Abourizk, Simaan
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- 10Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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- 9Civil and Environmental Engineering, Department of/Research Materials (Civil & Environmental Engineering)
- 2AbouRizk, Simaan (Civil and Environmental Engineering)
- 1AbouRizk, Simaan (Civil Engineering)
- 1Abourizk, Simaan (Civil & Environmental Engineering)
- 1Al-Hussein, Mohamed (Civil & Environmental Engineering)
- 1Aminah Robinson Fayek, Department of Civil and Environmental Engineering
- 1Farook Hamzeh (Civil Engineering)
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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...
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Fuzzy Agent-Based Multicriteria Decision-Making Model for Analyzing Construction Crew Performance
Download2020-01-01
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...
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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....
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Hybrid fuzzy Monte Carlo agent-based modeling of workforce motivation and performance in construction
Download2021-01-01
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...
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Hybrid fuzzy system dynamics model for analyzing the impacts of interrelated risk and opportunity events on project contingency
Download2020-07-23
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...
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Fall 2019
The unique nature of construction projects and the uncertainties encountered during project execution make construction a highly-risk prone industry. Risks on construction projects (especially large-scale projects) are extremely complex and highly dynamic, and substantial interrelationships exist...
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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...
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Fall 2023
Construction site conditions are suboptimal and current practices generate a lot of waste in all its forms (material, equipment, resources, etc.), hindering the true potential of productivity and value generation on construction sites. Lean Construction research studies oriented toward improving...
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Fall 2018
Mohammadhosseinzadehgolabchi, Alireza
As the construction industry is prone to various hazards, its rate of injuries and fatalities are among the highest. As a result, health and safety has emerged as a crucial aspect of any construction project. Among occupational injuries, Work-related Musculoskeletal Disorders (WMSDs) are reported...