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Skip to Search Results- 1Alshehri, Naeem S.
- 1Batty, Matthew
- 1Cabral Pinto, Felipe A
- 1Chiteri, Martin
- 1Davies, Christopher
- 1Fan, Gordon GZ
- 4Deutsch, Clayton (Civil and Environmental Engineering)
- 2AbouRizk, Simaan (Civil and Environmental Engineering)
- 1AbouRizk, Simaan (Civil & Environmental Engineering)
- 1AbouRizk, Simaan (Civil Engineering)
- 1Abourizk, Simaan (Civil & Environmental Engineering)
- 1Al-Hussein, Mohamed (Civil & Environmental Engineering)
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Fall 2021
Mohammadhosseinzadeh Golabchi, Hamidreza
Considering the high rates of labor resources in construction projects clearly indicates the importance of appropriate labor resource management methods. Accurate labor resource allocation is a substantial step towards successful labor resource management. With the recent developments in the area...
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A Framework for Aggregation of Heterogeneous Experts' Opinions in Construction Risk Assessment
DownloadSpring 2018
Construction companies constantly seek to improve risk analysis techniques to determine projects' risk contingency. The construction risk assessment practice relies on heterogeneous experts' opinions in a group decision making (GDM) process to determine the risk probabilities and impacts on a...
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Fall 2016
Collecting information is of vital importance for the development of a mineral project. The capital costs of mining projects are high and there is significant risk due to the available data. At all stages of a project, from exploration to mine closure, decisions need to be made that are based off...
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Fall 2023
Calculating and modeling a variogram from sparsely sampled data can be complex and time-consuming due to the need for expertise in selecting the appropriate parameters and fitting functions to the experimental variogram. To assist with variogram modeling, a novel approach based on Convolutional...
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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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Fall 2010
Modeling spatial variables involves uncertainty. Uncertainty is affected by the degree to which a spatial variable has been sampled: decreased spacing between samples leads to decreased uncertainty. The reduction in uncertainty due to increased sampling is dependent on the properties of the...
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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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Fall 2010
A challenge in petroleum geostatistics is the application of modeling algorithms such as Gaussian simulation to unstructured grids that are being used for flow simulation. Geostatistical modeling is typically applied on a fine scale regular grid and then upscaled to the unstructured grid. This...
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Fall 2019
The unique nature of construction projects and the uncertainties encountered during project execution make construction a highly-risk prone industry. Risks on construction projects (especially large-scale projects) are extremely complex and highly dynamic, and substantial interrelationships exist...