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contributor authorJami J. Shah
contributor authorSantosh V. Kulkarni
contributor authorNoe Vargas-Hernandez
date accessioned2017-05-09T00:02:59Z
date available2017-05-09T00:02:59Z
date copyrightDecember, 2000
date issued2000
identifier issn1050-0472
identifier otherJMDEDB-27678#377_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124040
description abstractA 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]
publisherThe American Society of Mechanical Engineers (ASME)
titleEvaluation of Idea Generation Methods for Conceptual Design: Effectiveness Metrics and Design of Experiments
typeJournal Paper
journal volume122
journal issue4
journal titleJournal of Mechanical Design
identifier doi10.1115/1.1315592
journal fristpage377
journal lastpage384
identifier eissn1528-9001
keywordsDesign
keywordsExperimental methods
keywordsPerformance
keywordsExperimental design
keywordsConceptual design
keywordsData collection
keywordsEngineering design AND Creativity
treeJournal of Mechanical Design:;2000:;volume( 122 ):;issue: 004
contenttypeFulltext


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