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Skip to Search Results- 37Fayek, Aminah Robinson
- 12Raoufi, Mohammad
- 9Seresht, Nima Gerami
- 4Tiruneh, Getaneh Gezahegne
- 3Kedir, Nebiyu Siraj
- 3Siraj, Nasir B.
- 11Fuzzy logic
- 9Construction
- 4Risk management
- 4System dynamics
- 3Construction labor productivity
- 3Construction modeling
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2018-01-01
Tiruneh, Getaneh Gezahegne, Fayek, Aminah Robinson
The variables that characterize construction organizational competencies are both quantitative and qualitative in nature, and thus require measurement methods and modeling techniques that can handle both variable types. Models that are capable of relating organizational competencies to...
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2019-02-01
Ayele, Selam, Fayek, Aminah Robinson
Productivity measurement is a concern for both construction practitioners and researchers. In construction, productivity can be measured at three levels: activity, project, and industry. At the project level, previous studies focused on measuring the productivity of specific activities. In...
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A framework to assess the costs and benefits of advanced work packaging in industrial construction
Download2019-03-01
Halala, Yonas Samuel, Fayek, Aminah Robinson
The term advanced work packaging (AWP), coined by the Construction Industry Institute (CII), refers to a disciplined process for project planning and execution; it was developed to address challenges such as cost and schedule overruns in the industrial construction sector. Case studies conducted...
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2020-11-01
Seresht, Nima Gerami, Lourenzutti, Rodolfo, Fayek, Aminah Robinson
Fuzzy inference systems (FISs) are a predictive modeling technique based on fuzzy sets that utilize approximate reasoning to mimic the decision-making process of human experts. There are several expert- and data-driven methods for developing FISs, among which fuzzy clustering algorithms are the...
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2022-01-01
Nguyen, Phuong, Fayek, Aminah Robinson, Hamzeh, Farook
Measurement of construction labor productivity involves various subjective factors (e.g., motivation, stress, and fatigue). Most measurement approaches for subjective factors in productivity applications require manual data collection (e.g., questionnaires, interviews, and observations);...
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Aggregation-Based Framework for Construction Risk Assessment with Heterogeneous Groups of Experts
Download2019-01-01
Monzer, Natalie, Fayek, Aminah Robinson, Lourenzutti, Rodolfo, Siraj, Nasir B.
Construction companies continuously seek to improve risk analysis techniques to determine the contingency of projects. Construction risk assessment relies on a group decision-making (GDM) process, in which a heterogeneous group of experts provides their opinions to determine the probabilities and...
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2020-01-01
Tiruneh, Getaneh Gezahegne, Fayek, Aminah Robinson
Organizations operating in the construction industry seek to understand how to successfully identify and manage competencies, given the significant influence they have on performance. Thus, organizations need to explore new approaches for assessing and enhancing their competencies to improve...
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Consensus building and optimization in group decision-making for the risk assessment of Wind Farm Project
Download2020-01-01
Hao, Yajie, Kedir, Nebiyu Siraj, Seresht, Nima Gerami, Pedrycz, Witold, Fayek, Aminah Robinson
Infrastructure projects for harnessing renewable energy (e.g., wind farm projects) have recently gained popularity because of their low adverse impact on the environment. However, it is challenging to perform risk assessments for these projects because data are either scarce or of low quality....
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Determining Project Contingency Reserve Using a Fuzzy Arithmetic-Based Risk Analysis Method
Download2020-01-01
Fateminia, Seyed Hamed, Siraj, Nasir Bedewi, Fayek, Aminah Robinson, Johnston, Andrew
Traditional techniques for estimating contingency reserve fail to capture subjective uncertainties and expert knowledge, and they rely on historical data. This paper proposes a fuzzy risk analysis model (FRAM) that uses fuzzy arithmetic to analyze risk and opportunity events and determine...
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Developing a risk breakdown matrix for onshore wind farm projects using fuzzy case-based reasoning
Download2021-08-15
Somi, Sahand, Seresht, Nima Gerami, Fayek, Aminah Robinson
As worldwide goals for sustainable development expand, numerous countries are investing in renewable energy projects, particularly onshore and offshore wind farm projects, which have low adverse environmental impacts. Since onshore wind farm projects are novel types of energy infrastructure...