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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Guo, P. Liang, J.J. Zhu, Y.M. Hu, J.F. |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Manage., Northwestern Polytech. Univ., Xian, China (Guo, P.; Liang, J.J.; Zhu, Y.M.; Hu, J.F.) |
| 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. |
| Starting Page | 994 |
| Ending Page | 998 |
| File Size | 636445 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424426294 |
| DOI | 10.1109/IEEM.2008.4738019 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-08 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Decision support systems resource interdependency Project management Artificial neural networks risk interdependency Research and development project portfolio Outcome interdependency project selection Simulated annealing technical interdependency Mathematical model Portfolios Context modeling Mathematical programming Data envelopment analysis |
| Content Type | Text |
| Resource Type | Article |
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