Computer Science – Computational Engineering – Finance – and Science
Scientific paper
2010-06-14
Journal of Computer Science and Engineering, Volume 1, Issue 1, p42-47, May 2010
Computer Science
Computational Engineering, Finance, and Science
Submitted to Journal of Computer Science and Engineering, see http://sites.google.com/site/jcseuk/volume-1-issue-1-may-2010
Scientific paper
Optimal selection of interdependent IT Projects for implementation in multi periods has been challenging in the framework of real option valuation. This paper presents a mathematical optimization model for multi-stage portfolio of IT projects. The model optimizes the value of the portfolio within a given budgetary and sequencing constraints for each period. These sequencing constraints are due to time wise interdependencies among projects. A Metaheuristic approach is well suited for solving this kind of a problem definition and in this paper a genetic algorithm model has been proposed for the solution. This optimization model and solution approach can help IT managers taking optimal funding decision for projects prioritization in multiple sequential periods. The model also gives flexibility to the managers to generate alternative portfolio by changing the maximum and minimum number of projects to be implemented in each sequential period.
Mishra Akhileshwar
Mustafi Abhijit
Pushkar Shashank
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