Title :
R&D project portfolio selection model analysis within project interdependencies context
Author :
Guo, P. ; Liang, J.J. ; Zhu, Y.M. ; Hu, J.F.
Author_Institution :
Sch. of Manage., Northwestern Polytech. Univ., Xian, China
Abstract :
The existing models of R&D project portfolio selection considered rarely project interdependencies. This may make decision makers select wrong projects for the project portfolio. In general, project interdependencies include outcome, resource and technical interdependency. Considering three categories of interdependencies, a few researchers have developed a couple of project selection models which only considered one or two interdependencies. This paper puts forward four categories of project interdependencies: outcome, resource, technical and risk interdependency. A 0-1 nonlinear mathematic programming method based R&D project portfolio selection model is proposed, in which four categories of interdependencies and other conventional constraints are all considered. Finally, a numerical example is given to illustrate that this model is feasible and rather important for making the reasonable and right project portfolio selection decision.
Keywords :
decision making; decision theory; nonlinear programming; project management; research and development management; risk management; R&D project portfolio selection model analysis; decision making; nonlinear mathematic programming model; project interdependency context; project outcome interdependency; project resource interdependency; project risk interdependency; project selection model; project technical interdependency; Artificial neural networks; Context modeling; Data envelopment analysis; Decision support systems; Mathematical model; Mathematical programming; Portfolios; Project management; Research and development; Simulated annealing; Outcome interdependency; project portfolio; project selection; resource interdependency; risk interdependency; technical interdependency;
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
DOI :
10.1109/IEEM.2008.4738019