Research On Process Management, Product Configuration And Data Management In Collaborative Product Development Chain

Global market competition requires manufacturing enterprises to improve their product development. While enterprises become more and more specialized, cooperation or collaboration among enterprises is intensified simultaneously. Commerce processes in supply chain become agile collaborative product development chain (CPDC) based on task flow. CPDC don't only describe organization structure of distributed development team, i.e. physical level of CPDC, but also represent development process chain based on task decomposition relations. Based on several projects, the whole dissertation focuses on CPDC, chiefly including some key technologies to support the implementation of CPDC effectively.Firstly this dissertation establishes general theory frame of CPDC and proposes a multi-view model that consists of organization, process and environment. System structure and running pattern of CPDC are discussed, and then five constituents of CPDC are introduced, which include development object, organization structure, development activity, product data, and collaborative control etc. In order to manage and control CPDC's constituents some basic management functions are needed, such as product object management, collaboration development process management, product configuration management, data security management, organization management and so on. System framework of CPDC is proposed, which consists of five levels, i.e. application interfaces, functions or tools for product development, process control, data management, and database system. In process modeling and management, based on analysis of the characteristic of product development process(PDP) in CPDC, an event-driven PDP chain model is proposed and a formal representation for PDP chain is given. Using the mapping between PDP chain and workflow, a flexible workflow model enhanced with rules and constraints is presented, which improves the adaptability and flexibility of CPDC. In order to manage CPDC, task flow model based on task decomposition is proposed, which reduces the complexity of CPDC. Through task flow and workflow, development process in CPDC can be organized and managed effectively. Product configuration is one of key technologies in CPDC in the environment of mass customization. Intelligent product configuration approach based on product structure model(PKM) is proposed, in which configuration knowledge, i.e. configuration rule or constraint, is attached to a specific PKM for the sake of simplifying configuration knowledge base(CKB). The construction and management of CKB is introduced, and knowledge-based configuration solving process is given. In order to ensure the validity of knowledge base, case-based diagnosis model is discussed, through which redundant or missing configuration rule in CKB can be detected.In data management of CPDC, this dissertation discusses product data integration and data access control model in development process. Product data integration framework based on collaborative agent(CA) is presented, which overcomes the deficiency of conventional integration approach. CA can not only manage the product data in local work area, but also support the collaborative work between application tools. As for product data access control in CPDC, task-role-based access control model(TACM) is proposed after analyzing access control objects and relations among them, and dynamic right computation process in TACM is given. Finally, this dissertation introduces the CPDC's implementation in some projects, which testified the advancement and practicability of research achievements in this dissertation.