DEVELOPING AN INTEGRATED RISK MANAGEMENT SYSTEM FOR EVALUATING PPPs PROJECTS IN LIBYA

Abstract

The object of this thesis is to examine the PPPs infrastructure projects, and to highlight the key performance indicators (KPIs) to assess serviceability and the impact of the Socio-economic environment, that represent influential Key factors on private sector in development the PPPs infrastructure project. This thesis presents a framework for risk assessment and appraisal of PPP infrastructure projects throughout integrated system named risk assessment and appraisal of PPPs (RAA3P), which integrates several techniques as, Fault Tree, Neural Networks, and the Analytic Network Process. The Statistical Packages for Social Sciences (SPSS) program was used to analyze the questionnaire data, as well as a number of interviews with specialists in the study field. This system aimed to ensuring sustainable availability of project's returns that is essential for the development of PPPs infrastructure projects in Libya, considering different risks that may face in the environmental of uncertainty that exist in the life cycle process of these projects. The presented system in this thesis is capable of analyzing the most risks that oblique the PPPs projects, in addition to predicting the internal rate of return IRR of business model that associated with the funding methods, and suggestion the alternatives to improve PPP structure mechanism to in order to enhance the performance of PPP projects in Libya. Actual PPP infrastructure case study project is considered to exhibit the developed system and its significance. The study concluded that, successful partnership between the public and private sectors in light of right decision-making depends on several factors. The most important factors are deep analysis of the economic feasibility of the project, and detailed risk analysis from all aspects of the project, technical, financial and technical, as well as political risks, in addition to the contractual partnerships between the project parties in terms of risk assignment as well as the good project‘s structure to fulfill the target return of the project