Using Delphi, Dynamic Ranking and Ideal Programming Methods to Select the most Reasonable Projects

Choosing right project is one of the factors that companies and Organizations use to Financial Success, The large number of companies deals with selection of one project through some projects. These companies had to consider many parameters like risks, resource constraints, time constraints and the expected project’s profit in their selections, to name a few. The importance of this topic leads to create several models to choose projects. Each model refers to special aspects of the problem. Therefore merging of this aim is necessary. This research tries to represent a combined approach of project selection. This approach determines economic, profitability and restrictions aspects of doing the project. Three methods of: Delphi, dynamic ranking and Goal programming of this model. In the beginning part of this model we use the Delphi method of calculation; Probability of technical success and strategic importance of each project. In the next step, we use earned weights by the first step and economic data of projects as dynamic rating inputs, at the end of this step economic weight will be given to each project, then this weights will be used as coefficients of Goal function at the third step. At this step Goal programming used to determine restrictions. By this model investor can consider economic, profitability and restrictions aspects of doing project easily and choose the best choice. At last foresaid combined approach is used to choose one of A or B Investing project as an example. To solve Goal model winQSB software is used.