Towards a knowledge support system for product family design

Seung Ki Moon, Xiaomeng Chang, Janis Terpenny, Timothy W. Simpson, Soundar R.T. Kumara

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

This chapter describes research toward creating a knowledge support system (KSS) that consists of knowledge representation, knowledge discovery, and recommendation for product family design. For the proposed KSS, we use an ontology to represent products as functional-based hierarchical structures and describe cost information related to product design. Fuzzy clustering is employed to partition product functions into subsets for identifying a platform and modules in a given product family. Rules related to design knowledge among products are developed using association rule mining. A reasoning tool is used to inference knowledge represented by an ontology and obtain design solutions. We present a prototype system to demonstrate the KSS using a case study involving a family of power tools.

Original languageEnglish (US)
Title of host publicationHandbook of Research in Mass Customization and Personalization
PublisherWorld Scientific Publishing Co.
Pages297-318
Number of pages22
ISBN (Electronic)9789814280280
ISBN (Print)9789814280259
DOIs
StatePublished - Jan 1 2009

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics, Econometrics and Finance(all)
  • Engineering(all)

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