类比
计算机科学
功能(生物学)
钥匙(锁)
集合(抽象数据类型)
领域(数学分析)
公制(单位)
光学(聚焦)
系统工程
理论计算机科学
工程类
数学
程序设计语言
光学
哲学
数学分析
物理
生物
进化生物学
语言学
计算机安全
运营管理
作者
Briana Lucero,Vimal Viswanathan,Julie Linsey,Cameron J. Turner
出处
期刊:Journal of Mechanical Design
日期:2014-10-20
卷期号:136 (12)
被引量:21
摘要
This research defines the basis for a new quantitative approach for retrieving useful analogies for innovation based on the relevant performance characteristics of functions. The concept of critical functionality is the idea of identifying only a certain set of pertinent design functions observed in a single domain that significantly define the functionality of the product. A critical function (CF) is a function within a functional model whose performance directly relates to a key performance parameter (KPP) of the system as a whole. These CFs will enable multiple analogies to be presented to a designer by recognizing similar functionality across distant design domains and incorporating key performance criteria. The ultimate focus of this research project is to create a performance-metric-based analogy library, called the design analogy performance parameter system (DAPPS). By focusing on a select set of “critical” functions, more design domains can be included in the database facilitating analogy retrieval founded on the qualification of KPPs.
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