This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Research Materials (Civil & Environmental Engineering)
Items in this Collection
- 29Fayek, Aminah Robinson
- 9Raoufi, Mohammad
- 6Seresht, Nima Gerami
- 3Kedir, Nebiyu Siraj
- 3Siraj, Nasir B.
- 3Somi, Sahand
- 9Construction
- 9Fuzzy logic
- 4Agent-based modeling
- 4System dynamics
- 3Construction modeling
- 3Construction productivity
-
Framework for Identification of Factors Affecting Construction Crew Motivation and Performance
Download2018-01-01
Raoufi, Mohammad, Fayek, Aminah Robinson
Construction researchers have long had difficulties identifying motivational factors and situational and contextual factors affecting crew motivation and performance. The two main objectives of this paper are to define a methodology to identify the factors affecting construction crew motivation...
-
Framework for integrating an artificial neural network and a genetic algorithm to develop a predictive model for construction labor productivity.
Download2020-01-01
Ebrahimi, Sara, Raoufi, Mohammad, Fayek, Aminah Robinson
Construction labor productivity (CLP) is one of the most important factors in the construction industry, as it has a direct effect on a company’s efficiency and profitability. The accurate prediction of CLP is essential for effective decision-making prior to project execution, and continuous...
-
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...
-
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...
-
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...
-
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...
-
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...
-
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...
-
Hybridization of Reinforcement Learning and Agent-Based Modeling to Optimize Construction Planning and Scheduling
Download2022-10-01
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...