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.
|Title of host publication
|Handbook of Research in Mass Customization and Personalization
|World Scientific Publishing Co.
|Number of pages
|Published - Jan 1 2009
All Science Journal Classification (ASJC) codes
- General Business, Management and Accounting
- Economics, Econometrics and Finance(all)
- General Engineering