Performance Analysis in the Selection of Imagery Intelligence Satellites
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
Publication date: 2002-03-01
- Military Operations Research is the leading peer-reviewed journal publishing articles in the fields that describe operations research (OR) methodologies and theories used in key military applications.
MOR specifically invites papers that are significant military OR applications. Of particular interest are papers that present case studies showing innovative OR applications, apply OR to major policy issues, introduce interesting new problem areas, highlight educational issues, and document the history of military OR.
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