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An efficient algorithm for project selection problem: An application on information system management


M. Mirbolouki


Vol. 17  No. 7  pp. 330-335


One of the many important decisions organizations must make is project selection. Every project includes an initial plan to run, but not every plan can be implemented as a project. In situations where they lack resources or funds, all different plans must first be able to assess profitability in an accurate way, leading to the selection of a combination of proposals to carry out as projects. In this paper, we develop a new project selection method based on a common set of weight Data Envelopment Analysis (DEA) model. An important advantage of our method is that by solving only one model, the most efficient bundle of plans is selected so that maximum use is made of resources, and the other is a non-computationally expensive method. Finally, the new method is applied to 18 Iranian Ministry of Commerce’ data in 2014.


Data envelopment analysis, common set of weights, goal programming, project selection.