Distinguishing Attributes for the Operationally Responsive Space Paradigm

The value-centric perspective of operationally responsive space (ORS) places emphasis on meeting the needs of stakeholders in a timely and effective manner. While ongoing technology developments for spacecraft standardization and rapid launch as well as efforts to develop enabling concepts of operations, tactics, and procedures support the advancement of an ORS paradigm, little work has been completed to evaluate responsive architectures using value-based design methods. To address this gap, Multi-Attribute Tradespace Exploration (MATE), a conceptual design methodology that applies decision theory to model and simulation-based design, is applied to the assessment of ORS and “big space” approaches for a notional intelligence, surveillance, and reconnaissance mission. Decoupling the design from the need through tradespace exploration, MATE is both a solution-generating as well as a decision-making framework. The focus in this paper is on the front-end of the MATE process—eliciting preferences from system stakeholders, including decision makers that have significant influence over the allocation of resources in a development effort. These preferences are captured in a multiattribute utility function for guiding subsequent tradespace exploration. After enumerating both traditional and responsive attributes for a notional intelligence, surveillance, and reconnaissance mission, the implications of the expanded set of attributes for the MATE modeling architecture are discussed. A model for incorporating schedule as an independent variable within tradespace studies is proposed, as is future work on the identification of mission areas and operational contexts suitable to the ORS paradigm. Overall, the key contribution of the paper is setting up the application of a value-centric methodology for the objective assessment of operationally responsive architectures.

[1]  DOD Needs a Departmentwide Strategy for Pursuing Low-Cost , Responsive Tactical Space Capabilities , 2006 .

[2]  F. B. Vernadat,et al.  Decisions with Multiple Objectives: Preferences and Value Tradeoffs , 1994 .

[3]  Daniel E. Hastings,et al.  New Methods for Rapid Architecture Selection and Conceptual Design , 2004 .

[4]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[5]  Roberta Ewart,et al.  Operationally Responsive Space Specifications and Standards: An Approach to Converging with the Community , 2007 .

[6]  Edward B. Tomme The Strategic Nature of the Tactical Satellite. Part 2 , 2006 .

[7]  Holly Bowron Risk and Opportunity , 2000 .

[8]  Arthur K. Cebrowski,et al.  Operationally Responsive Space: A New Defense Business Model , 2005, The US Army War College Quarterly: Parameters.

[9]  Daniel E. Hastings,et al.  Multi-Attribute Tradespace Exploration as Front End for Effective Space System Design , 2004 .

[10]  Tyson R. Browning,et al.  Modeling and analyzing cost, schedule, and performance in complex system product development , 1998 .

[11]  Nancy Kress,et al.  Product development , 2006, Nature.

[12]  Kevin Forsberg,et al.  RISK AND OPPORTUNITY MANAGEMENT , 1996 .

[13]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  Mark R. McCord,et al.  Lottery Equivalents: Reduction of the Certainty Effect Problem in Utility Assessment , 1986 .