Increasing system complexity requires that engineers, systems analysts, and program managers use comprehensive design methodologies to deliver affordable and resilient designs. One method is set-based design (SBD), a product development and managerial process distinctly suited for developing complex systems under uncertainty. SBD simultaneously develops, analyzes, and matures numerous potential design sets, enabling the identification of high-value, affordable, and resilient designs. Published SBD research is a rich source of both qualitative and quantitative methods. This research specifically focuses on quantitative SBD methods to apply a value of information (VOI) methodology enabling design convergence and selection. We build upon previous SBD research to enable design maturation and uncertainty reduction. Our methodology integrates design maturation and multiobjective VOI analysis into a comprehensive quantitative SBD process to guide system development from initial design concepts to the pre-production design decision. In doing so, we also provide refinements and process improvements to existing quantitative SBD methods. We demonstrate our methodology with a model-based UAV design case study using an integrated suite of system, value, and cost models. Our case study specifically focuses on the design maturation and model selection decisions enabling design space convergence. We compare our current results with those from a previous UAV case study, achieving a 41% reduction in required computation time for design space convergence. These results highlight the methodology's ability to reduce program risk and potential to improve SBD convergence efficiency.

中文翻译：

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在基于集合的定量设计中使用信息的价值

不断增加的系统复杂性要求工程师、系统分析师和项目经理使用全面的设计方法来提供经济实惠且有弹性的设计。一种方法是基于集合的设计 (SBD)，这是一种产品开发和管理过程，特别适合在不确定性下开发复杂系统。SBD 同时开发、分析和成熟许多潜在的设计集，从而能够识别高价值、经济实惠且具有弹性的设计。已发表的 SBD 研究是定性和定量方法的丰富来源。这项研究特别关注定量 SBD 方法，以应用信息价值 (VOI) 方法来实现设计收敛和选择。我们以之前的 SBD 研究为基础，以实现设计成熟和不确定性降低。我们的方法将设计成熟度和多目标 VOI 分析集成到一个全面的定量 SBD 过程中，以指导从初始设计概念到预生产设计决策的系统开发。在此过程中，我们还对现有的定量 SBD 方法进行了改进和流程改进。我们使用系统、价值和成本模型的集成套件，通过基于模型的无人机设计案例研究来演示我们的方法。我们的案例研究特别关注实现设计空间融合的设计成熟度和模型选择决策。我们将当前的结果与之前的无人机案例研究的结果进行比较，设计空间收敛所需的计算时间减少了 41%。这些结果突出了方法论'