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 and...

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Bibliographic Details
Main Authors: Hastings, Daniel E., Roberts, Christopher James, Richards, Matthew G., Ross, Adam Michael, Rhodes, Donna H.
Other Authors: Massachusetts Institute of Technology. Center for Technology, Policy, and Industrial Development
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers 2010
Online Access:http://hdl.handle.net/1721.1/60285
https://orcid.org/0000-0003-4421-5110
Description
Summary: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 time lines 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 time lines, (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 time lines.