新颖性
集合(抽象数据类型)
概念设计
计算机科学
多样性(控制论)
钥匙(锁)
航程(航空)
工业工程
系统工程
设计思维
可靠性工程
设计方法
设计过程
管理科学
概率设计
计算机自动化设计
产品设计
人工智能
工程类
人机交互
航空航天工程
机械工程
神学
程序设计语言
哲学
计算机安全
作者
Jami J. Shah,Santosh V. Kulkarni,Noé Vargas-Hernández
出处
期刊:Journal of Mechanical Design
日期:2000-02-01
卷期号:122 (4): 377-384
被引量:315
摘要
A wide range of formal methods have been devised and used for idea generation in conceptual design. Experimental evidence is needed to support claims regarding the effectiveness of these methods in promoting idea generation in engineering design. Towards that goal this paper presents a set of effectiveness metrics experimental methods, data collection and analysis techniques. Statistically based Design of Experiments (DOE) principles were used in developing the guidelines. Four classes of operating variables were considered to characterize the design problem and the environment. The effectiveness metrics proposed are based on outcome and consists of the quantity, quality, novelty, and variety of ideas generated. Two experimental approaches have been developed. In the Direct Method, the influence of the type of design problem and various parameters related to the procedure of an idea generation method is measured by using the method in its entirety. In the Indirect Method, each idea generation method is decomposed into key components and its overall effectiveness is predicted by experimentally studying the effectiveness of its components and their mutual interactions. [S1050-0472(00)02004-3]
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