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dc.contributor.authorRoberts, Christopher J.
dc.contributor.authorRichards, Matthew G.
dc.contributor.authorRoss, Adam M.
dc.contributor.authorRhodes, Donna H.
dc.contributor.authorHastings, Daniel E.
dc.date.accessioned2014-01-17T20:14:56Z
dc.date.available2014-01-17T20:14:56Z
dc.date.issued2009-03-23
dc.identifier.urihttp://hdl.handle.net/1721.1/84076
dc.description.abstractThe long time scales associated with complex system design and operation necessitate front-end systems engineering methodologies that enable consideration of alternative futures. This paper advances scenario planning techniques through a parameterization and ordering of potential future contexts and stakeholder expectations (e.g., articulated system attributes, available technology, funding levels, and supporting infrastructures). After surveying existing approaches for scenario planning, a methodology for specifying and analyzing large numbers of alternative system timelines is presented. A satellite radar case study is used to motivate and illustrate the value of this approach. Benefits of the methodology include: (1) broader and more rigorous consideration of alternative future needs, contexts, and timelines, (2) identification of gaps in traditionally-derived scenario sets, (3) identification of passively value-robust system alternatives, and (4) providing a basis for evaluating system evolution strategies that enable sustainment of value delivery across potential timelines.en_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectscenario planningen_US
dc.subjectepoch-era analysisen_US
dc.subjectmulti-attribute tradespace exploration (MATE)en_US
dc.subjectvalue robustnessen_US
dc.titleScenario Planning in Dynamic Multi-Attribute Tradespace Explorationen_US
dc.typeTechnical Reporten_US
dc.typeOtheren_US


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