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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.
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Stored only when both papers are in the corpus — 23 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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