DocumentCode
1511343
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
Issue
2
fYear
1971
fDate
5/1/1971 12:00:00 AM
Firstpage
66
Lastpage
76
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;
fLanguage
English
Journal_Title
Engineering Management, IEEE Transactions on
Publisher
ieee
ISSN
0018-9391
Type
jour
DOI
10.1109/TEM.1971.6447130
Filename
6447130
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