Risk management is essential for the construction industry to successfully fulfill project objectives. Several studies were conducted in the past decade to support quantitative risk analysis. These studies were based on using some of the commonly used techniques such as risk matrix, decision trees, Monte Carlo, and sensitivity analysis. However, some of these techniques are limited because they either do not support quantitative risk analysis, or are difficult to be utilized due to the required amount of data to support quantitative risk analysis. To address such limitations, a comprehensive framework was developed, based on combining three well-known techniques in reliability engineering, i.e., failure mode and effect analysis, fault trees, and event trees with fuzzy logic. Fuzzy logic and failure mode and effect analysis were first combined to provide an answer to the problem of identifying of critical risk events through the development of a fuzzy expert system software package named Risk Criticality Analyzer. To support quantitative risk analysis in the construction industry, fault tree and event tree were combined, and fuzzy logic is used to solve both of them. Fuzzy arithmetic operations on fuzzy numbers were used to represent logical gates in the fault tree structure, and to conduct event tree analysis. To automate solving both fault trees and event trees, Fuzzy Reliability Analyzer was designed and implemented using Visual Basic.net. Both tools were then validated through case studies. The results indicate that by using the proposed methodology, the risk can be assessed effectively and efficiently. The proposed framework presented in this research provides the contribution of combining fuzzy logic with failure mode and effect analysis, fault trees, and event trees in a comprehensive framework to support risk identification, risk assessment, and risk response. Since the proposed framework is based on using linguistic terms, risk analysts are offered a more convenient and practical framework to conduct risk analysis. The proposed framework was able to address several limitations attributed to the conventional application of failure mode and effect analysis and offered a generic framework that can be adapted to fit any industry or organization. / Construction Engineering and Management
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/1641 |
| Date | 06 1900 |
| Creators | Abdelgawad, Mohamed Abdelrahman Mohamed |
| Contributors | Dr. Aminah Robinson Fayek, Department of Civil and Environmental Engineering, Dr. Simaan Abourizk, Department of Civil and Environmental Engineering, Dr. Rick Chalaturnyk, Department of Civil and Environmental Engineering, Dr. Marek Reformat, Department of Electrical and Computer Engineering, Dr. Thomas Froese, Department of Civil Engineering, University of British Columbia |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 3912385 bytes, application/pdf |
| Relation | Abdelgawad, M. Fayek, A. R. and Martinez, F. (2010). Quantitative assessment of horizontal directional drilling project risk using fuzzy fault tree analysis. CRC, Innovation for Reshaping Construction Practice, 373, 1274-1283., Abdelgawad, M. and Fayek, A. R. (2010). Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP. J. Constr. Eng. Manage., ASCE, 136(9), 1028-1036., Abdelgawad, M. and Fayek, A. R. (2010). Fuzzy reliability analyzer: a quantitative assessment of risk events in the construction industry using fuzzy fault tree analysis. J. Constr. Eng. Manage., ASCE (Accepted 22-Aug-2010)., Abdelgawad, M. and Fayek, A. R. (2008). Comparison of risk analysis techniques for capital construction projects. Proceedings, CSCE Annual Conference, International Construction Innovation Forum, Quebec City, Quebec, June 10-13, 2008, 1, 23-32. |
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