An optimal model for Project Risk Response Portfolio Selection (P2RPS) (Case study: Research institute of petroleum industry)

In the real world, risk and uncertainty are two natural properties in the implementation of Mega projects. Most projects fail to achieve the pre-determined objectives due to uncertainty. A linear integer programming optimization model was used in this work to solve a problem in order to choose the most appropriate risk responses for the project risks. A mathematical model, in which work structure breakdown, risk occurrences, risk reduction...