A methodology for knowledge discovery to support product family design |
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Authors: | Seung Ki Moon Timothy W Simpson Soundar R T Kumara |
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Institution: | (1) Bucknell University, Lewisburg, PA 17837, USA;(2) The Pennsylvania State University, University Park, PA 16802, USA; |
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Abstract: | This paper introduces a methodology for knowledge discovery related to product family design that integrates an ontology with
data mining techniques. In the proposed methodology, the ontology represents attributes for the components of products in
functional hierarchies. Fuzzy clustering is employed for data mining to first partition product functions into subsets for
identifying modules in a given product family and then identify the similarity level of components in a module. Module categorization
is introduced to support association rule mining for knowledge discovery related to platform design. We apply the proposed
methodology to first develop and then utilize design knowledge for a family of power tools. Based on the developed design
knowledge, a new platform is suggested to improve commonality in the power tool family. |
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