Multi-criteria decision analysis as an aid to the strategic planning of Energy R & D.

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Bibliographic Details
Title: Multi-criteria decision analysis as an aid to the strategic planning of Energy R & D.
Authors: Lootsma, F.A., Meisner, J., Schellemans, F.
Source: European Journal of Operational Research. May86, Vol. 25 Issue 2, p216-234. 19p. 3 Diagrams, 6 Charts, 5 Graphs.
Subjects: Energy research, Multiple criteria decision making
Abstract: This paper demonstrates the use of multi-criteria decision analysis to assist an advisory council in selecting areas of interest for government-financed Energy R&D, subject to a budget constraint. The benefits of Energy R&D may be difficult to value in monetary terms. A different way of comparing the anticipated impacts of Energy R&D in various technological areas based on the opinions of the council members given a number of judgment criteria is described, followed by maximizing the overall impact of an Energy R&D programme for a given level of expenditure. Since the council members have different backgrounds, their opinions may diverge and so may the solutions to the optimization problem. The decision model can be used as a discussion model highlighting the points of agreement and disagreement amongst them, so that they can concentrate on the latter in order to reach a vindicated compromise. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This paper demonstrates the use of multi-criteria decision analysis to assist an advisory council in selecting areas of interest for government-financed Energy R&D, subject to a budget constraint. The benefits of Energy R&D may be difficult to value in monetary terms. A different way of comparing the anticipated impacts of Energy R&D in various technological areas based on the opinions of the council members given a number of judgment criteria is described, followed by maximizing the overall impact of an Energy R&D programme for a given level of expenditure. Since the council members have different backgrounds, their opinions may diverge and so may the solutions to the optimization problem. The decision model can be used as a discussion model highlighting the points of agreement and disagreement amongst them, so that they can concentrate on the latter in order to reach a vindicated compromise. [ABSTRACT FROM AUTHOR]
ISSN:03772217
DOI:10.1016/0377-2217(86)90087-1