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Tradespace Exploration for the Engineering of Resilient Systems

机译:弹性系统工程的商标探索

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Tradespace exploration supports the Systems Engineering Technical Management Process of Decision Analysis by identifying compromises, revealing opportunities, and communicating the impacts of decisions across a system's development lifecycle. Critical program decisions are made based on the outcomes of trades; trades being performed with multiple types and quantities of data coming out of tools and methods employing qualitative and quantitative analyses. Tradespace exploration for Engineered Resilient Systems (ERS) is envisioned to coalesce pertinent information tuned to specific decision makers, at the appropriate time, presenting a holistic view of decision impacts on required system capabilities. This study provides an ERS view of tradespace exploration, which reveals that having a valid set of attributes, and an understanding of how a cross-section of tools can satisfy them, is insufficient - what is needed is a deeper understanding of how these tools are used and, more importantly, how they can be used when performing tradespace exploration in support of the Decision Analysis Process. Gaining this understanding will enable users to better assess if they possess the appropriate tradespace exploration tools. A holistic view of 81 candidate tradespace exploration tools is provided. This study seeks to address a fundamental aspect of tradespace exploration by assembling a "best common practice" process for their requirements, identifying a set of attributes that defines an ideal tradespace exploration tool, and surveying existing tools that satisfy these attributes. In this way, a set of tools can be selected to enable the ERS tradespace vision on a particular project. A paradigm shift towards common tradespace methods, tools, cost models, and steps is emphasized.
机译:商标空间探索通过识别妥协,揭示机会和传达在系统的开发生命周期中的决策的影响来支持决策分析的系统工程技术管理进程。关键方案决策是根据交易的结果制定的;正在使用采用定性和定量分析的工具和方法的多种类型和数量进行的交易。设想工程弹性系统(ERS)的商标探索,以在适当的时间内将相关信息与特定决策者进行合并,呈现决策对所需系统能力的整体视图。本研究提供了商标空间探索的ERS视图,这揭示了具有有效属性集的,以及了解如何满足它们的横截面如何满足它们,不足 - 所需的是对这些工具的更深入了解使用,更重要的是,如何在执行商标空间探索时如何使用它们,以支持决策分析过程。获得此理解将使用户能够更好地评估它们是否拥有适当的商标探索工具。提供了81个候选商标空间探索工具的整体视图。本研究旨在通过组装“最佳共同实践”过程来解决商标空间探索的基本方面,以便为其要求识别定义理想商标空间探索工具的一组属性,并调查满足这些属性的现有工具。通过这种方式,可以选择一组工具以使特定项目中的商标空间愿望。强调了对公共商标方法,工具,成本模型和步骤的范式转移。

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