Abstract
This paper presents a comprehensive decision-making framework for evaluating a portfolio of IT projects. A problem of IT project selection with and without project interdependencies is considered. The problem is subject to maximum project funding budget constraint. When IT project portfolio contains independent projects, a dynamic programming (DP) solution procedure is proposed to efficiently solve the portfolio of IT projects' problem. However, when IT project portfolio contains project interdependencies, a mixed integer programming (MIP) approach is needed to solve the problem optimally. Experiments and results using simulated data using Monte Carlo simulation are provided. The results indicate that a large set of project selection problems containing up to 60 projects can be solved easily using the proposed decision-making framework.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 625-639 |
| Number of pages | 15 |
| Journal | International Journal of Project Management |
| Volume | 32 |
| Issue number | 4 |
| DOIs | |
| State | Published - May 2014 |
All Science Journal Classification (ASJC) codes
- Business and International Management
- Management of Technology and Innovation