一种面向全局防御数据体系结构的高级维持建模方法

Vaibhav V. Suthar
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引用次数: 1

摘要

通过孤立的数据库收集关键维持数据的传统方法允许用户按需提取数据;但是,这需要手工合并数据,以便以有意义的方式查看数据。因此,这种方法不能在需要满足作战人员需求的点上提供数据。这个弱点是由于在全球范围内拥有各种不同的数据库。这种方法使得个人很难执行影响与综合后勤支持(ILS)元素相关的支持决策的分析,如下图1所示。图1综合后勤支持要素雷声公司在高级维持模型(ASM)体系结构中采用基于模型的系统工程技术。ASM通过一系列主要任务系统集成商、政府物流商、原始设备制造商(OEM)和最终用户消费者集中、优化和自动化关键维护相关数据的收集和分发。ASM体系结构侧重于运行在用户提供的硬件和数据链基础设施上的软件工具包。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Advanced Sustainment Modeling Approach for Global Defense Data Architecture
Summary & ConclusionsThe traditional methodology of collecting critical sustainment data through isolated databases allows users to pull data on-demand; however, this requires manual efforts to merge data to see it in meaningful ways. Hence, this approach does not provide data at the point of need to satisfy warfighter demand. This weakness is due to having various disparate databases across the globe. This approach makes it difficult for an individual to perform analyses that influence support decisions related to the Integrated Logistics Support (ILS) elements as shown in Figure 1 below. Figure 1Integrated Logistics Support Elements1Raytheon employs Model-based Systems Engineering techniques to the Advanced Sustainment Model (ASM) architecture. ASM centralizes, optimizes and automates the collection and distribution of critical sustainment related data across a range of Prime Mission Systems Integrators, Government Logisticians, Original Equipment Manufacturers (OEM) and end-user consumers. The ASM architecture focuses on a software toolkit that runs on user-provided hardware and datalink infrastructure.
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