Nasirzadeh, F. and Afshar, A. and Khanzadi, M. and Howick, S.M. (2008) Integrating system dynamics and fuzzy logic modelling for construction risk management. Construction Management and Economics, 26 (11). pp. 1197-1212. ISSN 0144-6193Full text not available in this repository. (Request a copy from the Strathclyde author)
The complex structure of construction project risks arises from their internal and external interactions with their dynamic nature throughout the life cycle of the project. A system dynamics (SD) approach to construction project risk management is presented, including risk analysis and response process. Owing to the imprecise and uncertain nature of risks, fuzzy logic is integrated into system dynamics modelling structure. Risk magnitudes are defined by a fuzzy logic based risk magnitude prediction system. Zadeh's extension principle and interval arithmetic is employed in the SD simulation model to present the system outcomes considering uncertainties in the magnitude of risks resulting from the risk magnitude prediction system. The performance of the proposed method is assessed by employing the method in the risk management plan of a sample project. The impact of a sample risk is quantified and efficiency of different alternative response scenarios is assessed. The proposed approach supports different stages of the risk management process considering both the systemic and uncertain nature of risks.
|Keywords:||system dynamics, fuzzy logic, fuzzy logic modelling, construction risk management, risk, Management. Industrial Management, Management Information Systems, Building and Construction, Industrial and Manufacturing Engineering|
|Subjects:||Social Sciences > Industries. Land use. Labor > Management. Industrial Management|
|Department:||Strathclyde Business School > Management Science|
|Depositing user:||Mrs Caroline Sisi|
|Date Deposited:||12 Jan 2010 11:12|
|Last modified:||22 Mar 2017 10:20|