Dynamic Multipoint Optimization Application to Corporate Portfolio Management

Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/443

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DC Field	Value	Language
dc.contributor.author	Robert Cuellar
dc.contributor.author	Brian J. Sauser
dc.date.accessioned	2020-03-16T17:28:39Z	-
dc.date.available	2020-03-16T17:28:39Z	-
dc.date.issued	2009-04-01
dc.identifier.citation	Published--Unlimited Distribution
dc.identifier.uri	https://dair.nps.edu/handle/123456789/443	-
dc.description	Acquisition Management / Grant-funded Research
dc.description.abstract	This paper addresses the application of system maturity metrics and decision theory ideologies to a portfolio management framework supporting multi-technology-based system development. The application of previous research performed by the Stevens Institute of Technology in the area of system maturity metrics, including systems readiness levels, will be leveraged and applied to existing problem sets resulting in a dynamic decision-making process.
dc.description.sponsorship	Acquisition Research Program
dc.language	English (United States)
dc.publisher	Acquisition Research Program
dc.relation.ispartofseries	Portfolio Management
dc.relation.ispartofseries	NPS-AM-09-018
dc.subject	System Maturity Metrics
dc.subject	Portfolio Management Framework
dc.subject	Lifecycle
dc.title	Dynamic Multipoint Optimization Application to Corporate Portfolio Management
dc.type	Article
Appears in Collections:	Annual Acquisition Research Symposium Proceedings & Presentations

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