الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Risks are natural and inherent characteristics of all projects. Project risk management is a crucial activity in project management. Usually project risk management plans deal with identifying, assessing and planning adequate responses to risks. Once risks have been identified, analyzed, and prioritized, risk response plans should be developed for addressing every risk the project team considers to be sufficiently important, and great priority should be given to critical risks where resources should be first allocated. The main problem is that there are many types of response actions, and the project manager must be able to select the optimal portfolio of risk response actions taking into consideration the tight budget for implementing risk responses. Most of the existing methods consider only the effect of risk response action giving no attention to the savings or the feasibility of these responses. In addition, in risk response planning, risks are frequently assumed to be independent. Nevertheless, risks mutually influence in a project and the independent risks rarely exists in the real world. Moreover, it does not make sense to develop risk response actions to all risks from the identify risks process, since some of the risks identified are not very probable or, if they do occur, will not have a significant impact and immediate risk response actions as well as resources should be first allocated to these critical risks to eliminate the most troublesome areas of the project.This thesis proposes a framework for managing project critical risks considering risk interdependence under budget constraints. Firstly, a critique literature review is introduced in order to investigate the gaps in the existing studies. In addition, a proposed framework for critical risk identification in complex projects is also provided in the literature. An innovative approach for selecting risk response actions, in order to manage project critical risks, is also presented. Further, a Genetic Algorithm optimization model is formulated in which the effects of the risk interdependence on risk response can be investigated. The proposed model incorporates the expected damage of the risk, risk interdependence and its two directions, the savings to cost ratio of response action and budget constraints. The proposed model also provides project managers with improved insights on risks and risk interdependences under complexity and help them design more effective and more feasible response actions. Considering the busy time of decision makers in the construction industry, a new software for managing project risks is also developed with a simple graphical user interface. Finally, the utility as well as the superiority of the proposed model is proved through comparing the results of the current thesis with the results of other scholars in the literature. A real-life project is studied and introduced to show the practicality of the proposed model.