A Data Mining Approach for Innovative Product Development Guided by Customer Requirements
In a globalised and individual business environment, customer needs become an important factor for a company in order to out-perform its competitors. To address the issue of innovative product development guided by customer requirements, the development of conceptual product reflecting customer s preference characteristic was proposed based on data mining approach. A customer requirement knowledge management ( CRKM ) model with corresponding data mining approach was given out. Aiming at different customer need forms, several data mining methods such as text mining, frequency statistic, similarity measure, and N dimensional space degree were used to extract customer requirement knowledge from different CRK models. A modified FAH was put forward to compartmentalize the design specifications of conceptual product. Based on the weigh distribution gained from data mining, the quantitative result of customer preference for conceptual product can be calculated through AHP. The result can be used in the decision making for innovative product development in order to reduce project risk and secure commercial success.
Innovative Product Development Customer Requirement Knowledge Management Data Mining Knowledge Discovery
Xu Xinsheng Li Jinhua Mao Tingling
College of Quality & Safety Engineering, China Jiliang University,Hangzhou P.R.China, 310018 Institution of Contemporary Manufacturing Engineering, Zhejiang University,Hangzhou P.R.China, 31002
国际会议
天津
英文
2007-10-20（万方平台首次上网日期，不代表论文的发表时间）