Student Integrated Project / Includes supplementary material. / This thesis analyzed the Navy's proposed Riverine Force (RF) structure and capabilities of 2006. Systems Engineering and Analysis cohort 10 (SEA10) developed a cost-effective system of systems which increased battlespace awareness and situational responsiveness for 2010. Riverine missions were decomposed into their functional, physical, and operational architectures using the detect-to-engage sequence. This analysis determined critical RF functions. Critical functions detect and engage were then physically represented by feasible force package alternatives that augmented the baseline RF. SEA10 analyzed these alternatives using agent based models to identify baseline RF capability gaps and provide insights into possible solutions. Reduction of modeling data indicated the baseline force was as effective as some upgraded force packages depending on the measure of performance (MOP) or scenario structure under scrutiny. Sensor augmentation demonstrated significant improvements to baseline performance by increasing battlespace awareness. Weapon augmentation alone did not significantly improve baseline performance by increasing situational responsiveness. Combined sensor-weapon augmentation performed well across all MOP and scenarios. The Unmanned Surface Vehicle (USV) was the most cost-effective alternative. Dedicated helicopter support demonstrated the best performance overall, but was the most costly alternative.
Identifer | oai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/2361 |
Date | 12 1900 |
Creators | Oliveria, Tristan V., Beaver, James W., Mercado, Pedro R., Bucher, Andrew D., Free, Jennifer M., Byers, Richard W. |
Contributors | Williams, Richard, Paulo, Eugene, Naval Postgraduate School (U.S.). |
Publisher | Monterey, California, Naval Postgraduate School |
Source Sets | Naval Postgraduate School |
Detected Language | English |
Type | Thesis |
Format | xxxii, 240 p. : ill. (some col.), application/pdf, application/pdf |
Rights | Approved for public release, distribution unlimited |
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