Research On Product Development Support System For Collaborative Creation Within KBE

With the constant advance of manufacturing informationization, which is characterized with digital, visual, web, virtual, collaborative, integration, intelligence, green, security, knowledge has become the important means to win the competition and the key resources to obtain profits for enterprises. The competition among enterprises focuses on the creation development of products and the rapid response to the market in the 21st century. The commercial CAD system can't support collaborative creation thinking of designer in the early days of product development. Therefore we propose the new pattern of product development of knowledge driven collaborative creation (KDCC), and construct the basic framework of the system, which supports the product development of KDCC. At the same time, we study the method system taking process chain as means; the model system taking the general knowledge model as main-body; the analysis system based on layering fuzzy synthetic evaluation and grey relative analysis; the technical system taking the knowledge modeling, collaborative creation, simulation analysis, virtual optimization, system evaluation, group decision as connotation.By comparing traditional methods of product development with concurrent engineering, we fuse the knowledge engineering technology to the field of product creative development and creatively present the product development pattern of KDCC, which is based on the CAD technology of knowledge driven geometry. In respect of the collaborative thinking pattern of "divergence-convergence", connotation, principle, method and supported techniques, we discuss the deep hierarchic development ideas of KDCC for creative product. The architecture of product development of KDCC is build up, which collaborative creation is supported by distributed general knowledge base, and discuss the system character and key technology to realize. In order to descript the running and management mode of KDCC, the pie with six hierarchies is lead into. In this pattern to develop creative product, the knowledge is driving force for product conceptual creation and structure creation. It is based on behavior and demand of product creation to capture, store, share and reuse knowledge. Creative product and its competition force are rooted in knowledge and based on collaboration, which are outcome that different designer and term work are mutual consultation.Implementation of KDCC is referential to technology, and come down to flow and management. In conformity with this, it is the basis, which builds the process chain with unified knowledge management, and reliable product description is guarantee. For this reason, we put forward to concept of general knowledge management (GKM) and build the process chain of product collaborative creation development (PCCD) based on GKM. Under the pattern of KDCC, the product development model is divided into three types, which are product description model, development resource model and development process model. By adopting object-oriented technology and taking STEP/EXPRESS and KBE/Intent language as modeling toolkit, modeling methods are studied, which supports KDCC. We introduce theory of ontology and self- organized evolution to study methods of self-organized evolution based on ontology knowledge for collaborative creation, and open the "black box" of creative design through the ontological knowledge drive and self-organized evolution design. It deepens, enriches and expands existent theory ofcreative design. In order to enhance the effects of KDCC in practice, strategies are discussed in matters of capturing, expressing and using knowledge, which effectually supports to realize process chain of PCCD.Decision and appraisal are related closely during the course of design. The six-element decision aim and its model are proposed which supports PCCD. Index system to evaluate PCCD and appraisal model are established. We discuss systematically layering fuzzy synthetic evaluation based on AHP and decision analyzing method based on grey relative analysi...