Authors: Burk, Roger C.; Deschapelles, Carolina; Doty, Karl; Gayek, Jonathan E.; Gurlitz, Thomas

Source: Military Operations Research, Volume 7, Number 2, 2002 , pp. 45-60(16)

Publisher: Military Operations Research Society

Abstract:

The National Reconnaissance Office made innovative use of quantitative performance analysis in a multi-billion-dollar source selection for a new generation of picture-taking intelligence satellites. Within the framework of a multiattribute decision analysis value decomposition, a variety of techniques was used to develop metrics for each attribute and measure the contribution of each metric to overall system value. These methods included linear, non-linear, and integer optimization, continuous and discrete-event simulation, network flow analysis, and a genetic algorithm. This performance analysis (combined with conventional evaluation of soundness of design, management effectiveness, etc.) played a key role in selecting the contractor who will design, build, and operate a complete replacement for the current U.S. satellite imagery system. Performance analysis successfully incorporated the diverse needs of the community of intelligence users and ensured an affordable system that would best meet critical national security requirements.

Keywords: Application Areas: Decision Analysis; Application Areas: Operational Contribution of Spa; OR Methodologies: Linear Programming; OR Methodologies: Multiobjective Optimization; OR Methodologies: Network Methods; OR Methodologies: Nonlinear Programming; OR Methodologies: Decision Analysis and Simulation

Document Type: Research article

DOI: http://dx.doi.org/10.5711/morj.7.2.45

Publication date: 2002-03-01

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