Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/2750
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Moshe Kress Brian Morgan | - |
dc.date.accessioned | 2020-03-16T18:19:52Z | - |
dc.date.available | 2020-03-16T18:19:52Z | - |
dc.date.issued | 2018-10-15 | - |
dc.identifier.citation | Published--Unlimited Distribution | - |
dc.identifier.uri | https://dair.nps.edu/handle/123456789/2750 | - |
dc.description | Acquisition Management / NPS Faculty Research | - |
dc.description.abstract | Analysis of Alternatives (AoA) is a complex multi-dimensional decision procedure used by the US Department of Defense as part of the acquisition process. The four dimensions of the procedure are: alternatives, criteria, scenarios and stakeholders. Current AoA studies lack the structural rigor needed from such a complex procedure, which involves measurements, evaluations, analyses, modeling, as well as social aspects all in a highly uncertain environment. We propose a structured paradigm for conducting AoA, rooted in well-established methods of multi-criteria decision analysis. The core of the methodology comprises the concepts of ratio-scale matrices and the Euclidean norm. The ratio-scale matrices are used to elicit evaluations, preferences and opinions from individual stakeholders and analysts, and the Euclidean norm is utilized to remove preference inconsistencies and help form consensus. | - |
dc.description.sponsorship | Acquisition Research Program | - |
dc.language | English (United States) | - |
dc.publisher | Acquisition Research Program | - |
dc.relation.ispartofseries | Analyses of Alternatives | - |
dc.relation.ispartofseries | NPS-AM-19-007 | - |
dc.subject | Acquisition Alternatives | - |
dc.subject | Analysis of Alternatives | - |
dc.subject | AoA | - |
dc.subject | Decision Analysis | - |
dc.title | A Robust Framework for Analyzing Acquisition Alternatives | - |
dc.type | Technical Report | - |
Appears in Collections: | Sponsored Acquisition Research & Technical Reports |
Files in This Item:
File | Size | Format | |
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NPS-AM-19-007.pdf | 600.88 kB | Adobe PDF | View/Open |
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