Collaborative Research: Visual Analytics for Creation of Value Functions in Complex Systems Design Under Uncertainty

协作研究：不确定性下复杂系统设计中价值函数创建的可视化分析

• 批准号: 1436236
• 负责人: Timothy Simpson
• 金额: $ 18.48万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2017-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1436236&HistoricalAwards=false
• 关键词: Collaborative; Research; Visual; Analytics; Creation

Value-driven design represents a new way of designing large scale complex engineered systems, such as those found in automobile, aerospace, and energy industries. In value-driven design, a value function is created that captures the preferences of the stakeholders. The value function comprises all the attributes that are important for the system being designed, such as weight, performance characteristics, and manufacturing concerns, amongst others. The value function is then used by all the participants in the design process to aid in their decision making, so that all participants use the same basis for their design decisions. This is extremely different from the present systems engineering process in which requirements are used to force design decisions among subsystems and components, leading to suboptimal designs. The creation of a value function, however, is very challenging for complex systems, particularly in light of the uncertainties that exist in the design variables, attributes, and ultimately, the value of the system itself. This award supports fundamental research to provide needed knowledge for the creation of value functions when designing complex systems under uncertainty. A key component of this research focuses on enabling the easy understanding of the complex relationships between design variables, attributes, and value functions using visualization tools. Results from this research will benefit the U.S. economy as well as the national defense, given the extensive reliance on large-scale systems by both military and commercial applications. This research is inherently multidisciplinary, not only providing a way to design in a multidisciplinary environment, but also through using multiple disciplines to address the fundamental issues related to value function creation for complex systems. The multidisciplinary nature of the research will lend itself to broadening participation of under-represented groups in this research.The value-driven design approach can overcome numerous limitations associated with present systems engineering processes. In the present systems engineering approach, requirements are developed in an attempt to capture the preferences of stakeholders. These requirements are then decomposed and passed to lower-level groups who then design subsystems and ultimately the components in the system. Problematically, these requirements over-restrict the design space, create difficulties in incorporating uncertainty, and provide little to no guidance in terms of what is actually desired by the stakeholders. While value-driven design has the potential to overcome these barriers, knowledge gaps exist. This research will address the knowledge gap related to formation of the value function under uncertainty. The research team will identify the impact of uncertainty in design variables and attributes on value functions. The team will develop a structured approach for forming a value function to ensure appropriate rank ordering of alternative solutions according to the preference of the stakeholder. The impact of risk preference (i.e., risk seeking, risk neutral, and risk averse) will be explored to determine relationships between risk preference and value-function formation. Visualization tools will be developed to aid in the understanding of relationships between attributes and the value function and to provide designers with decision aids for using value functions. The research team will also work with industrial partners to validate the methods and tools developed.

价值驱动的设计代表了一种设计大型复杂工程系统的新方法，例如在汽车，航空航天和能源行业中发现的系统。在价值驱动的设计中，创建了一个值函数，以捕获利益相关者的偏好。值函数包括对设计系统重要的所有属性，例如重量，性能特征和制造问题等。然后，所有参与者在设计过程中使用了价值函数来帮助他们的决策，以便所有参与者使用相同的基础来进行设计决策。这与当前的系统工程过程极大不同，在当前的系统工程过程中，在该过程中，要求在子系统和组件之间迫使设计决策，从而导致次优设计。但是，对于复杂的系统而言，值得一提的值，尤其是鉴于设计变量，属性以及最终是系统本身的价值，尤其是鉴于存在的不确定性。该奖项支持基本研究，以在不确定性下设计复杂系统时为创建价值功能的创建提供所需的知识。这项研究的关键组成部分旨在使使用可视化工具的设计变量，属性和价值函数之间的复杂关系轻松理解。鉴于军事和商业应用都广泛依赖大型系统，这项研究的结果将使美国经济和国防部受益。这项研究本质上是多学科的，不仅提供了在多学科环境中设计的方法，而且还通过使用多个学科来解决与复杂系统的价值函数创建相关的基本问题。该研究的多学科性质将使自己在这项研究中扩大代表性不足的群体的参与。价值驱动的设计方法可以克服与当前系统工程过程相关的许多限制。在当前的系统工程方法中，需要开发要求，以捕获利益相关者的偏好。然后将这些要求分解并传递给较低级别​​的组，然后他们设计了系统中的子系统，并最终设计了系统中的组件。从有问题的角度上讲，这些要求过于限制设计空间，在融合不确定性方面造成了困难，并且在利益相关者实际上所需的方面几乎没有指导。尽管价值驱动的设计有可能克服这些障碍，但存在知识差距。这项研究将解决与不确定性下值函数形成有关的知识差距。研究团队将确定不确定性在设计变量中的影响以及属性对价值功能的影响。该团队将开发一种结构化方法，以形成价值函数，以确保根据利益相关者的偏好确保替代解决方案的适当排名排序。将探讨风险偏好（即寻求风险，风险中性和风险的风险）的影响，以确定风险偏好和价值功能形成之间的关系。将开发可视化工具，以帮助理解属性与价值功能之间的关系，并为设计人员提供使用价值功能的决策辅助工具。研究团队还将与工业合作伙伴合作，以验证开发的方法和工具。