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Enhancing NSS System Performance by Including Value-Centric Analysis (VCA)

机译：通过包含价值中心分析（VCA）来提高NSS系统性能

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SMC has been developing an advanced version of the DoD analysis framework for use in architecting analysis which brings to life the overall analysis framework for the NSS portfolio. This analytic effort was begun in 2004 to analyze the Space Superiority Portfolio for AFSPC. The effort however was broadly applicable across the NSS portfolio. The overall framework of the approach is derived from the well-known Department of Defense Modeling and Simulation Classification Scheme which is made up of four layers. Each analytic layer interacts with other layers, receives input streams from sources such as intelligence and science and technology sources, and produces outputs, which are fed back to the analysis system in an iterative and recursive fashion. Each of the layers attracts different classes of analysts and is rich with opportunities to build integrated product teams necessary for full spectrum decision making needed at the NSS portfolio level. In this effort we identify where a value-centric analysis input or adjustment could optimize system maximum value while still utilizing the existing analytic framework.
机译：SMC一直在开发用于架构分析的DoD分析框架的高级版本，该框架使NSS产品组合的整体分析框架栩栩如生。这项分析工作始于2004年，旨在分析AFSPC的空间优势组合。但是，这项工作广泛适用于整个NSS产品组合。该方法的总体框架源自著名的国防部建模与仿真分类方案，该方案由四层组成。每个分析层与其他层进行交互，从情报和科学技术等来源接收输入流，并产生输出，这些输出以迭代和递归的方式反馈到分析系统。每个层次都吸引着不同类别的分析人员，并拥有建立NSS产品组合级别所需的全频谱决策所必需的集成产品团队的机会。在这项工作中，我们确定了以价值为中心的分析输入或调整可以在最大程度上优化系统最大值的同时仍利用现有分析框架的地方。

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