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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
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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 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...
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Integrated FAHP-FDEMATEL for determining causal relationships in construction crew productivity modelling
Download2023-01-01
Kedir, Nebiyu, Fayek, Aminah Robinson
Construction crew productivity is affected by the motivation of the crew performing given activities and by situational/contextual factors forming the dynamic construction environment. The literature lacks a comprehensive analysis of causal relationships between crew motivation and...
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2018-04-01
Raoufi, Mohammad, Fayek, Aminah Robinson
Construction crew performance is a function of both motivation and the situation in which tasks are performed. However, previous research in construction has not comprehensively investigated situational/contextual factors and their impact on the relationship between motivation and performance....
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2021-08-03
Seresht, Nima Gerami, Fayek, Aminah Robinson
Predicting and optimizing performance in earthmoving operations is critical, because they are essential to many construction projects. The complexity of modeling earthmoving operations remains challenging, even with several modeling techniques available, including simulation. This paper advances...
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2020-08-01
Seresht, Nima Gerami, Fayek, Aminah Robinson
The performance of construction systems (e.g., activities, operations, projects) is commonly measured using different indicators, such as productivity or production rate. The accurate prediction of performance, which is an important concern of construction researchers and practitioners, requires...
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Predictive model for construction labour productivity using hybrid feature selection and principal component analysis
Download2022-01-01
Ebrahimi, Sara, Kazerooni, Matin, Sumati, Vuppuluri, Fayek, Aminah Robinson
Construction labour productivity (CLP) is affected by numerous variables made up of subjective and objective factors. Thus, CLP modelling and prediction are a complex task, leading to high computational cost and the risk of overfitting of data. This paper proposes a predictive model for CLP by...
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Risk Identification and Common Risks in Construction: Literature Review and Content Analysis
Download2019-01-01
Siraj, Nasir B., Fayek, Aminah Robinson
This paper examines common risk identification tools and techniques, risk classification methods, and common risks for construction projects. A systematic review and detailed content analysis of 130 selected articles from well-regarded and relevant academic journals published over the last three...
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Solar Energy Implementation in Manufacturing Industry Using Multi-Criteria Decision-Making Fuzzy TOPSIS and S4 Framework
Download2022-11-01
Ponce, Pedro, Pérez, Citaly, Fayek, Aminah Robinson, Molina, Arturo
The demand for electrical energy has increased since the population of and automation in factories have grown. The manufacturing industry has been growing dramatically due to the fast-changing market, so electrical energy for manufacturing processes has increased. As a result, solar energy has...
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Systematic Literature Review on Fuzzy Hybrid Methods in Photovoltaic Solar Energy: Opportunities, Challenges, and Guidance for Implementation
Download2023-04-01
Kedir, Nebiyu, Nguyen, Phuong H. D., Pérez, Citaly, Ponce, Pedro, Fayek, Aminah Robinson
The application of fuzzy hybrid methods has significantly increased in recent years across various sectors. However, the application of fuzzy hybrid methods for modeling systems or processes, such as fuzzy machine learning, fuzzy simulation, and fuzzy decision-making, has been relatively limited...