DocumentCode :
2689229
Title :
Project Portfolio: A Job Scheduling Approach
Author :
Tselios, Dimitrios ; Savvas, Ilias K. ; Kechadi, M-Tahar
Author_Institution :
Sch. of Comput. Sci. & Inf., Univ. Coll. Dublin, Dublin, Ireland
fYear :
2012
fDate :
4-6 July 2012
Firstpage :
847
Lastpage :
852
Abstract :
This work is devoted to the portfolio project management problem and more specifically is focused on IT portfolios´ management. This problem is formulated as Resource Constrained Scheduling Problem (RCPSP). The contemporary organisations such as the IT companies plan and execute a set of projects that share common resources. Therefore, each IT organisation develops a set of IT projects and it has to handle them concurrently. In this study we reviewed the literature and developed a system model based on the job shop scheduling problem modelling and expressed it as recursive neural network. We propose an initial solution by applying a greedy algorithm that can be used as input to the RNN.
Keywords :
job shop scheduling; project management; recurrent neural nets; software management; IT companies; IT portfolio management; IT projects; job scheduling approach; job shop scheduling problem; portfolio project management problem; project portfolio; recursive neural network; resource constrained scheduling problem; Equations; Job shop scheduling; Mathematical model; Neural networks; Portfolios; Project management; Schedules; Job Scheduling; Neural Networks; Project Portfolio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex, Intelligent and Software Intensive Systems (CISIS), 2012 Sixth International Conference on
Conference_Location :
Palermo
Print_ISBN :
978-1-4673-1233-2
Type :
conf
DOI :
10.1109/CISIS.2012.80
Filename :
6245699
Link To Document :
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