Title :
Analysis of some portfolio selection models for R&D
Author :
Gear, A.E. ; Lockett, A.G. ; Pearson, A.W.
Author_Institution :
Manchester Business School, UK
fDate :
5/1/1971 12:00:00 AM
Abstract :
This paper presents an analytical review of mathematical programming models that have been proposed as aids to the related problems of resource allocation and project selection in R&D. The models are classified according to whether they are based on linear, integer, or dynamic programming. Representative examples from these classes are described and evaluated in detail. The evaluation is in terms of data requirements; built-in assumptions; ease of computation; usefulness of outputs; versatility of application.
Keywords :
classification; dynamic programming; integer programming; linear programming; mathematical programming; modelling; research and development management; dynamic programming; integer programming; linear programming; mathematical programming models; portfolio selection models analysis; research and development; Availability; Biological system modeling; Laboratories; Linear programming; Mathematical model; Portfolios; Uncertainty;
Journal_Title :
Engineering Management, IEEE Transactions on
DOI :
10.1109/TEM.1971.6447130
