Title :
Knowledge decision support model for collaborative product innovation
Author :
Yang, Yu ; Liang, Xuedong ; Yang, Jie ; Zhou, Zijun ; Wang, Jing
Author_Institution :
Chongqing Univ., Chongqing, China
Abstract :
Recently, interests in the notion of collaborative product innovation (CPI) from academia and industry have been significantly increased. Comprehensive requirements analysis along with a cogent framework, however, do not address the problem that how to support product innovation with the distributed knowledge resources. A knowledge decision support model is proposed including collaborative knowledge database setting, knowledge mining and innovative design support. Accordingly, customer knowledge and requirements, product character, prototypes and instances are pushed to product innovator actively. The validity of the model is illustrated with an example of motorcycle innovation design.
Keywords :
data mining; decision support systems; groupware; knowledge based systems; product development; production engineering computing; collaborative knowledge database setting; collaborative product innovation; distributed knowledge resources; knowledge decision support model; knowledge mining; Association rules; Collaboration; Data mining; Data warehouses; Databases; Innovation management; Knowledge management; Technological innovation; Technology forecasting; Virtual manufacturing; CPI; active push; innovation degree evaluation; knowledge decision support;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373518
