Toward a Method for Achieving Synergy between Heuristic Rules of Thumb and Quantitative Methods in Engineering Design

寻求一种在工程设计中实现启发式经验法则与定量方法之间协同的方法

• 批准号: 1538234
• 负责人: James Allison
• 金额: $ 15万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-15 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1538234&HistoricalAwards=false
• 关键词: Toward; Method; Achieving; Synergy; between

Engineering design experts' heuristic "rules of thumb" usually save time and money when making design decisions. Through years of experience with product design, materials, and manufacturing, experts can perform many design tasks quickly, such as narrowing the set of possible design options to investigate further. Sometimes, however, these shortcuts result in poor design decisions that waste time and money. This happens especially when new materials, manufacturing technologies, or types of products are being considered. The old rules of thumb no longer apply, and even experts can be vulnerable to "cognitive biases," or decision traps that we all sometimes fall into. Although mathematical models and approaches can alleviate this problem, they often require significant cost and effort to implement and therefore counteract the desired benefit. This project will benefit society by combining the best of both worlds, working toward a methodology for determining the best balance between rapid heuristic strategies and more rigorous quantitative methods for making design decisions. The intellectual significance of this project lies in building a foundation for a new, formal design methodology that exploits the synergy between heuristic and normative methods. This project will analyze a design process for one advanced systems engineering problem, where the designer is required to expand the frame of analysis to include issues never before considered. Normative methods such as optimization and decision-based design consider efficiency and tradeoffs under uncertainty with the same degree of analytic rigor that was previously applied only to physical system modeling. While this approach has been successful to some extent, there are times when the cost of this approach (formulation, data gathering, solving) is simply not worth the effort. Conversely, the heuristic "rules of thumb" employed by design experts are faster, but can sometimes lead to suboptimal results because of systematic cognitive biases that are inadvertently embedded in the heuristic and lead the design choice away from the optimal solution. The problem addressed here is that strictly heuristic design methods can lead to inferior solutions, while strictly normative methods can be too time consuming and costly to implement. Observed heuristics will be analyzed to determine their effect on both the design process and the resulting product. Normative methods will be analyzed in the same manner. Then, a method for defining the best combination of the two approaches will be developed. This project will provide the foundation for developing a full set of "rules for rational design analysis" for determining the best combination of normative and heuristic approaches.

工程设计专家的启发式“经验法则”通常可以节省设计决策的时间和金钱。通过多年的产品设计、材料和制造经验，专家可以快速执行许多设计任务，例如缩小可能的设计选项集以进行进一步调查。然而，有时候，这些捷径会导致糟糕的设计决策，浪费时间和金钱。尤其是在考虑新材料、制造技术或产品类型时。旧的经验法则不再适用，即使是专家也容易受到“认知偏见”或我们有时都会陷入的决策陷阱的影响。虽然数学模型和方法可以缓解这个问题，但它们通常需要大量的成本和努力来实现，因此抵消了预期的好处。该项目将通过结合两个世界的最佳方法来造福社会，致力于确定快速启发式策略和更严格的定量方法之间的最佳平衡的方法，以做出设计决策。 这个项目的智力意义在于建立一个新的，正式的设计方法，利用启发式和规范方法之间的协同作用的基础。这个项目将分析一个先进的系统工程问题的设计过程，其中要求设计师扩展分析框架，包括以前从未考虑过的问题。规范化的方法，如优化和基于决策的设计，考虑效率和不确定性下的权衡，具有相同程度的分析严谨性，以前只适用于物理系统建模。虽然这种方法在某种程度上是成功的，但有时这种方法的成本（制定，数据收集，解决）根本不值得付出努力。相反，设计专家采用的启发式“经验法则”更快，但有时会导致次优结果，因为系统的认知偏见无意中嵌入启发式，并导致设计选择远离最佳解决方案。这里要解决的问题是，严格的启发式设计方法可能会导致劣质的解决方案，而严格的规范方法可能过于耗时和昂贵的实施。 将分析观察到的工艺，以确定它们对设计过程和最终产品的影响。将以相同的方式分析规范方法。然后，将制定一种方法来确定这两种方法的最佳组合。这个项目将提供一个基础，发展一套完整的“理性设计分析规则”，以确定规范和启发式方法的最佳组合。