|M.Sc Student||Karpovsky Ilana|
|Subject||Relative Evaluation of Infrastructure Projects for|
|Department||Department of Industrial Engineering and Management||Supervisors||Professor Avraham Shtub|
|Professor Boaz Golany|
The goal of this research is to develop a methodology for project priority setting in multi-project organizations.
This methodology is based on combining simulation analysis with heuristic methods.
The simulation module is used to simulate a system of resources and evaluate the projects’ performances. The heuristic module, based on a genetic algorithm, is used to schedule the projects. A computerized tool, based on the approach, was developed during the research.
The method was verified by testing the flow of a single project through the system’s resources and comparing the behavior of the system to estimates driven by analytic models of queuing theory (M/M/1, M/M/3). It was found that the model performed as expected both at the level of projects’ flow and in comparison to the predicted theoretical results.
Several tests were carried out to show the efficiency of the algorithm. These tests have reinforced the validity of the proposed method.
Finally, it was confirmed that the solutions found by algorithm were better than random solutions in most cases. Also, from comparing the results obtained by our method to optimal solutions for small size problems, one can see that the performance of the method was fairly close to optimal results. Therefore, we conclude that the implementation of the method for project priority setting indeed has a positive impact on the performance of the system.