Study On Model Of Customer Knowledge Integration In Collaborative Product Innovation And Its Key Technology

Customer knowledge is a precious resource to produce innovative products. The necessity about how to improve competition capability and hold vantage point for enterprises claim to analyze customer information, find available knowledge, combine with production innovation method. By this means, the output of efforts will be beneficial to support innovation team's decision and improve enterprise's innovation capability. Therefore, research work focus on integration of customer knowledge (CK) and key technology in collaborative product innovation(CPI), based on comprehensive study on customer knowledge management, collaborative product design and innovation methodology.Firstly, the mode of customer knowledge integration in CPI is studied. Summative characters of customer knowledge, such as fuzziness, Dynamic, diversity and distributivity, and key constrains of knowledge integration including human factor, organization, environment, technology and process is studied to meet enterprise innovation requirements. A CK's integration model including CK integration process based on Coordinate Theory (CT) and Petri Nets (PN), including data resource layer, information layer, knowledge layer and integration application layer, is proposed. Furthermore, customer resources identification and evaluation system is manifested mainly in five items taking the study effect as an example. The input dimension of Wavelet Networks, whose structure is ascertained by Gradient Iteration Descent Algorithm and Step-test Procedure Algorithm, is utilized to evaluate innovation customer, is decreased by Rough Set Algorithm by reducing redundant indexes.Secondly, customer information discovery and knowledge acquisition is studied in networked collaborative surroundings. Customer preference information acquisition based on collaboration filtration is proposed so that reliable, effective and accessible customer information is acheieved from mass, imperfect, noisy and fuzzy data. Meanwhile, it can be linked with product characters to support product design. A method for customer sensibility knowledge acquisition based on Cognitive Theory is proposed to identify it by character matching with cognitive behavior. And a mapping model between customer sensibility knowledge and product character using fuzzy cognitive chart assists to obtain customer cognitive knowledge. Ant Colony Algorithm is betaken to confirm the structure of fuzzy cognitive chart and adjacency matrix. Thirdly, method for customer knowledge modeling based on ontology theory is proposed in CPI with definition and requirements analysis. Customer knowledge based'problem domain-function domain'method is presented serving as describing, expressing, transforming or solving problems in CPI in different constrains. Ontology Theory and OWL language are used to model and describe customer knowledge by customer knowledge conception ontology tree including'customer originality, sensibility knowledge, customer requirement and fundamental knowledge'. Matching algorithm for customer knowledge conception ontology tree and knowledge push method based constrain satisfaction are proposed to meet customer knowledge requirement.Fourthly, the method of CPI for customer knowledge utilization is proposed. Customer Knowledge Lifecycle (CK) and Customer Knowledge Production (CKP) are defined to combine customer knowledge and CPI method with CPI frame for knowledge utilization. CPI method based on TRIZ and customer knowledge are studied consisting of CK's description transformation, CK's grammar model, adjacency domain problem solving based on 3-D space and innovation evaluation based on CPM.Finally, Case study is demonstrated to illustrate the feasibility and applicability. A CPI prototype system for customer knowledge utilization is developed. Its frame and structure are presented including some key technologies such as Web Service. The prototype system's knowledge integration solution and CK's ontology description come to execution and support motor bicycle's frame innovation design with the help of TRIZ tool and customer knowledge.