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- 9Fayek, Aminah Robinson
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- 2AbouRizk, Simaan (Civil and Environmental Engineering)
- 1AbouRizk, Simaan (Civil Engineering)
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- 1Aminah Robinson Fayek, Department of Civil and Environmental Engineering
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Fall 2018
Cash is the most important resource at the disposal of a construction company, and management of cash has a direct impact on long- and short-term company performance. Accurately predicting the amount of cash-flow expected from particular construction operations, however, remains challenging due...
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Customized Manufacturing Enterprise Resource Planning System for Offsite Modular Light Gauge Steel Construction
DownloadFall 2018
The research presented in this thesis describes the implementation of an Enterprise Resource Planning (ERP) system that works in parallel to an offsite modular construction production line. The framework, which integrates lean manufacturing construction and time study, is used to diagnose...
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Development of a Model using Machine Learning Intended to be Embedded in a Wearable Device to Detect Muscle Fatigue based on sEMG Data Associated with a Sustained Single 80% Maximum Voluntary Contraction
DownloadFall 2021
Background: Muscle fatigue is the progressive reduction in a muscle's ability to contract and exert force when performing a sustained task. Muscle fatigue may prevent the task from being complete and increase the risk of injury. Eventually, the performance of individuals during athletic...
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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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Enhanced Model Tree Application Framework for Developing Interpretable AI in Construction Engineering
DownloadFall 2020
The construction industry has been and continues to be overflown with data. Scholars have no problems dealing with this phenomenon through the incorporation of artificial intelligence (AI) methods like neural networks or random forests. However, when the time comes to practical application, the...
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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...