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- 9Fayek, Aminah Robinson
- 5Raoufi, Mohammad
- 3Siraj, Nasir B.
- 2Monzer, Natalie
- 1Abourizk, Simaan
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- 10Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
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- 9Civil and Environmental Engineering, Department of/Research Materials (Civil & Environmental Engineering)
- 2AbouRizk, Simaan (Civil and Environmental Engineering)
- 1AbouRizk, Simaan (Civil Engineering)
- 1Abourizk, Simaan (Civil & Environmental Engineering)
- 1Al-Hussein, Mohamed (Civil & Environmental Engineering)
- 1Aminah Robinson Fayek, Department of Civil and Environmental Engineering
- 1Farook Hamzeh (Civil Engineering)
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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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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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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...