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- 12Fayek, Aminah Robinson
- 2Kedir, Nebiyu Siraj
- 1Ebrahimi, Sara
- 1Gebretekle, Yisshak Tadesse
- 1Kamau, Daniel Waweru
- 12Civil and Environmental Engineering, Department of
- 9Civil and Environmental Engineering, Department of/Research Materials (Civil & Environmental Engineering)
- 3Civil and Environmental Engineering, Department of/Presentations (Civil & Environmental Engineering)
- 1Graduate and Postdoctoral Studies (GPS), Faculty of
- 1Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
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Framework to analyze construction labor productivity using fuzzy data clustering and multi-criteria decision-making
Download2020-01-01
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...
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Digitalization Opportunities Road Mapping Tool (DORMT©): A framework to assess digitalization opportunities in construction organizations
Download2021-04-13
Gebretekle, Yisshak Tadesse, Kamau, Daniel Waweru, Raoufi, Mohammad, Fayek, Aminah Robinson
The construction industry is entering the digital age, which offers innovative digitalization opportunities (DOs) regarding cost efficiency, project management, and improved client experience. In their early efforts to implement DOs, construction organizations have had varying degrees of success,...
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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...
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2022-01-01
Kedir, Nebiyu S., Raoufi, Mohammad, Fayek, Aminah Robinson
Previous studies have identified motivation as one of the most important factors affecting the efficiency of labor utilization in construction processes. However, there is a lack of research on simulating the impact of motivation on labor productivity to track and devise productivity improvement...
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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...
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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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Spring 2018
Crew performance is influenced not only by the environment where construction activities occur, but also by crew motivation, which has largely been overlooked in construction research. For many years, construction engineering researchers have observed that motivational differences within...
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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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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...