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首页> 外文期刊>Procedia Computer Science >Application of System Design for Operational Effectiveness for Architectural Modeling of the SoS Relationship between Primary and Enabling Systems
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Application of System Design for Operational Effectiveness for Architectural Modeling of the SoS Relationship between Primary and Enabling Systems

机译:系统设计在运营效率中对主系统与使能系统之间的SoS关系进行体系结构建模的应用

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摘要

Government mandates to control costs throughout the life cycle of a product necessitate a comprehensive architecture and methodology from design through operations and sustainment. The Systems Design for Operational Effectiveness (SDOE) model developed by Stevens Institute has become the basis of the Office of the Secretary of Defense (OSD) guidance with a focus on increasing reliability and reducing logistics footprint. The complexity of systems of systems approaches and model based systems development increases when both on-board and off-board enabling systems are considered. Models for both should be included in any comprehensive digital tapestry. There are multiple digital threads for life cycle data for the enabling systems to represent the necessary causal relationships between primary and enabling systems that determine operational effectiveness. To address this challenge, a reusable architecture and methodology for addressing this complexity is the first step. This framework can support definition and advanced application of data analytics and big data approaches to the digital threads that define the interaction between primary and enabling system, the industrial enterprise, and the deployed environment, providing the variables which contribute to operational outcomes, and effectiveness. This includes analysis of feedback from actual operations compared with planned suitability analysis during the design phase.
机译:政府要求控制产品整个生命周期中的成本,因此需要从设计到运营和维护的全面架构和方法。史蒂文斯学院开发的系统运行效率系统设计(SDOE)模型已成为国防部长办公室(OSD)指导的基础,重点是提高可靠性和减少后勤足迹。当同时考虑板载和板载启用系统时,系统方法和基于模型的系统开发的系统的复杂性会增加。两者的模型都应包含在任何全面的数字挂毯中。启用系统的生命周期数据有多个数字线程,这些数字线程表示主要和启用系统之间的必要因果关系,这些因果关系决定了运营效率。为了应对这一挑战,第一步是解决这种复杂性的可重用架构和方法。该框架可以支持对数字线程的数据分析和大数据方法的定义和高级应用,这些数字线程定义了主要和使能系统,工业企业和已部署环境之间的交互作用,并提供了有助于运营结果和有效性的变量。这包括在设计阶段将来自实际运营的反馈分析与计划的适应性分析进行比较。

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