Towards a Knowledge Support System for Product Family Design

Seung Ki Moon, Xiaomeng Chang, Janis Terpenny, Timothy W. Simpson and Soundar R. T. Kumara
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Seung Ki Moon: Department of Industrial & Manufacturing Engineering, The Pennsylvania State University, USA
Xiaomeng Chang: Department of Engineering Education, Virginia Polytechnic Institute and State University, Blacksburg, USA
Janis Terpenny: Department of Engineering Education, Virginia Polytechnic Institute and State University, Blacksburg, USA
Timothy W. Simpson: Departments of Mechanical & Nuclear Engineering and Industrial & Manufacturing Engineering, The Pennsylvania State University, USA
Soundar R. T. Kumara: Department of Industrial & Manufacturing Engineering, The Pennsylvania State University, USA

Chapter 16 in Handbook of Research in Mass Customization and Personalization:(In 2 Volumes), 2009, pp 297-318 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractThis 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.

Keywords: Mass Customization; Personalization; Engineer-to-Order; Open Innovation; User Co-Creation; Modularity; Platform Design; Customer Centricity (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (11)

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