DocumentCode :
866551
Title :
The linear multi-objective R&D project selection problem
Author :
Ringuest, Jeffrey L. ; Graves, Samuel B.
Author_Institution :
Sch. of Manage., Boston Coll., Chestnut Hill, MA, USA
Volume :
36
Issue :
1
fYear :
1989
fDate :
2/1/1989 12:00:00 AM
Firstpage :
54
Lastpage :
57
Abstract :
A multi-objective model of the project-selection problem is described. The model departs from an earlier goal-programming formulation of the problem, which suggested Delphic methods for selection of priorities and aspiration levels. It is shown that the multiobjective formulation yields multiple nondominated solutions for the same problem solved by goal programming, whereas the goal-programming formulation revealed only one solution, and that the goal-programming solution is sensitive to choice of aspiration levels. The multiobjective model is recommended as a more general approach to the research and development project-selection problem, since it will develop a set of all nondominated solution. Subjective methods (such as the Delphic technique) can then be called for at a later point in the analysis to choose among alternative nondominated solutions
Keywords :
project engineering; research and development management; development; multi-objective model; project-selection problem; research; Computer industry; Functional programming; Intelligent robots; Linear programming; Machine intelligence; Mathematical model; Mathematical programming; Research and development; Service robots; Uncertainty;
fLanguage :
English
Journal_Title :
Engineering Management, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9391
Type :
jour
DOI :
10.1109/17.19984
Filename :
19984
Link To Document :
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