Scenario Planning in Dynamic Multi-Attribute Tradespace Exploration

The 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...

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Main Authors: Roberts, Christopher J., Richards, Matthew G., Ross, Adam M., Rhodes, Donna H., Hastings, Daniel E.
Format: Technical Report
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/84076
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author Roberts, Christopher J.
Richards, Matthew G.
Ross, Adam M.
Rhodes, Donna H.
Hastings, Daniel E.
author_facet Roberts, Christopher J.
Richards, Matthew G.
Ross, Adam M.
Rhodes, Donna H.
Hastings, Daniel E.
author_sort Roberts, Christopher J.
collection MIT
description The 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.
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spelling mit-1721.1/840762019-04-11T07:29:26Z Scenario Planning in Dynamic Multi-Attribute Tradespace Exploration Roberts, Christopher J. Richards, Matthew G. Ross, Adam M. Rhodes, Donna H. Hastings, Daniel E. scenario planning epoch-era analysis multi-attribute tradespace exploration (MATE) value robustness The 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. 2014-01-17T20:14:56Z 2014-01-17T20:14:56Z 2009-03-23 Technical Report Other http://hdl.handle.net/1721.1/84076 Attribution-NonCommercial-ShareAlike 3.0 United States http://creativecommons.org/licenses/by-nc-sa/3.0/us/ application/pdf
spellingShingle scenario planning
epoch-era analysis
multi-attribute tradespace exploration (MATE)
value robustness
Roberts, Christopher J.
Richards, Matthew G.
Ross, Adam M.
Rhodes, Donna H.
Hastings, Daniel E.
Scenario Planning in Dynamic Multi-Attribute Tradespace Exploration
title Scenario Planning in Dynamic Multi-Attribute Tradespace Exploration
title_full Scenario Planning in Dynamic Multi-Attribute Tradespace Exploration
title_fullStr Scenario Planning in Dynamic Multi-Attribute Tradespace Exploration
title_full_unstemmed Scenario Planning in Dynamic Multi-Attribute Tradespace Exploration
title_short Scenario Planning in Dynamic Multi-Attribute Tradespace Exploration
title_sort scenario planning in dynamic multi attribute tradespace exploration
topic scenario planning
epoch-era analysis
multi-attribute tradespace exploration (MATE)
value robustness
url http://hdl.handle.net/1721.1/84076
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AT rossadamm scenarioplanningindynamicmultiattributetradespaceexploration
AT rhodesdonnah scenarioplanningindynamicmultiattributetradespaceexploration
AT hastingsdaniele scenarioplanningindynamicmultiattributetradespaceexploration