تاريخ مجلس الدراسات العليا

2023-02-05

اسم الطالب

تقوى أسامة عبدالرحمن الزعبي

ملخص الرسالة

Many scientific research attempt to evaluate the effect of FC, but unfortunately a few scientific researches proposed a tool to predict a crisis, or even providing decision makers with optimal tool to minimize the negative effect of the crisis. This study aims to provide a sufficient, optimal solution to overcome consequences of FC in construction sector, which considered as base to improve the plans to develop management capabilities, skills and knowledge using actual feedback for more improved future plans, that might be a privilege to avoid any unforeseen conditions in future. The optimal financial solution would be represent as a mathematical model using MATLAB program, this model were built on several economical parameters, such as: budgets, project budgets, costs, expected profit, estimated profit, number of constructed units and interest rate. However, some profit values were estimated using polynomial fitting base on previous given data. Reviewing mega construction projects case study during COVID-19 crisis offering an optimal financial solution. Sensitivity analysis were conducted on two different perspectives: Yearly perspective, and project perspective .To measure the effect of some parameters on each other, such as: most effected year and project, least effect year and project to create worst scenario case, that would be considered as risk scenario, to measure its effect on profit values and total number of constructed units. As a result, in normal case condition net profit based on optimal plan was doubled if it is compared with net profit using regular plans, and optimal plan was least effect plan during financial crisis with least financial loses, since optimal plan considered many factors, such as: the risky year and the risky constructed projects, and finally an economic analysis were conducted using (NPV) to prove the efficient of optimal plan. Overcoming financial crisis required sufficient plan that considered frequent site feedback, this plan has to consider all the risk economical parameter to minimize its effect. In addition, effective early warning system (EWS) that detect financial changes would contribute to build efficient plan that would help decision makers during and after crisis occurs.