DocumentCode
1254329
Title
R&D project selection using the analytic network process
Author
Meade, Laura M. ; Presley, Adrien
Author_Institution
Graduate Sch. of Manage., Dallas Univ., Irving, TX, USA
Volume
49
Issue
1
fYear
2002
fDate
2/1/2002 12:00:00 AM
Firstpage
59
Lastpage
66
Abstract
The analytic network process (ANP) is presented as a potentially valuable method to support the selection of projects in a research and development (R&D) environment. This paper first discusses the requirements of the R&D project selection problem, which requires the allocation of resources to a set of competing and often disparate project proposals. Among the factors complicating this task is the need to make the decision within the framework of an enterprise´s strategic objectives and organizational structure while considering and integrating financial and strategic benefits of each project. The paper discusses the use of the ANP, a general form of Saaty´s analytic hierarchy process, as a model to evaluate the value of competing R&D project proposals. A generic ANP model developed by the authors, which includes in its decision levels the actors involved in the decision, the stages of research, categories of metrics, and individual metrics, is presented. The paper concludes with a case study describing the implementation of this model at a small high-tech company, including data based on the actual use of the decision making model
Keywords
decision theory; project management; research and development management; strategic planning; R&D project selection; Saaty´s analytic hierarchy process; analytic network process; case study; decision levels; decision making model; financial benefits; management; organizational structure; project proposals; resource allocation; small high-tech company; strategic benefits; strategic objectives; Companies; Decision making; Information analysis; Investments; Performance analysis; Project management; Proposals; Research and development; Research and development management; Resource management;
fLanguage
English
Journal_Title
Engineering Management, IEEE Transactions on
Publisher
ieee
ISSN
0018-9391
Type
jour
DOI
10.1109/17.985748
Filename
985748
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