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Skip to Search Results- 2Risk analysis
- 1Artificial Intelligence
- 1Construction Labour Productivity
- 1Construction projects
- 1Contingency reserve
- 1Factors Identification
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Determining and Managing Contingency Reserve throughout the Lifecycle of Construction Projects
DownloadSpring 2023
Managing risk events and uncertainties plays a key role in the successful delivery of construction projects. To cover the implementation cost of risk response actions as well as the effects of risks on project goals, contingency reserve must be calculated and considered in the project budget....
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Developing Hybrid Artificial Intelligence Model for Construction Labour Productivity Prediction and Optimization
DownloadFall 2021
Construction labour productivity (CLP) is considered one of the most important parameters affecting the performance of construction projects. Therefore, modeling CLP is a crucial step in construction projects. Accurate prediction of CLP helps in effective planning, cost estimating, and...
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Prioritizing Labour Productivity Improvement Strategies by Integrating Hybrid Feature Selection, Fuzzy Multi-Criteria Decision-Making, and Fuzzy Cognitive Maps
DownloadFall 2021
Construction labour productivity (CLP), as a key performance index in the construction sector, is affected by various factors such as crew motivation and working conditions that are highly interconnected and vary on a project-by-project basis. CLP can be enhanced by properly practicing...
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Understanding and Improving Input for Quantitative Risk Analysis in the Construction Industry
DownloadFall 2013
Risk analysis in the construction industry involves identifying risk events that could potentially affect a project and its delivery, quantifying those risks, and developing mitigation strategies to enhance project success. This thesis aims to improve the process of risk analysis through the...