Product Design Knowledge Management Research Articles

Information Technology Components and Their Role in Knowledge Management for Product Design

Information Technology Components and Their Role in Knowledge Management for Product Design

Knowledge Tracing Modeling for Product Design Knowledge Management

Knowledge management in advanced manufacturing industries is a complex process. The paper analyzes knowledge application scenarios in product development processing. There are complex relationships between knowledge, product, process and designers, which four key elements are proposed for knowledge tracing modeling. Knowledge tracing modeling based four key elements for product design knowledge management is studied carefully. The research for knowledge tracing modeling will enable software function development.

Research of Knowledge Management during Products Design Process

To improve the knowledge management during product design process, a new model of knowledge composition and knowledge activity is constructed within or between organizations and persons. And based on the analysis of knowledge acquisition, transfer and innovation, the strategy for the implement of knowledge management project is proposed. At last the functions and structures of a software system are provided that supporting the knowledge management for product design in an manufacturing enterprise.

Online Semantic Knowledge Management for Product Design Based on Product Engineering Ontologies

This paper formulates an approach to use the semantic web for knowledge management in the product design domain to provide enhanced capabilities of authoring/updating, querying/reasoning, searching, and visualization of information. Engineering has unique challenges, due to the pervasive use of CAD models and underlying interoperability and integration issues. The authors propose a distributed model composed of a host hybrid-data repository, external public linked data sources, a semantic data management engine, and a web-based user interface layer. The hybrid-data repository consists of ontologies to preserve knowledge for the product design domain and a conventional product data base to utilize legacy design data. Near full integration with a web based environment is achieved. The importance of accessing product related CAD data that has been instantiated in ontology models, querying them, and then displaying the data on a web interface in real time with other legacy data, such as hand sketches and notes that have been scanned and relevant information from conventional rational databases public linked data sites, is a useful and transformational capability. The system clearly facilitates design and information management beyond traditional CAD capabilities and creates a foundation for important capability improvements in the domain.

A collaborative platform for complex product development based on multi-domain unified modeling and simulation

In order to intensify market competition, manufacturing enterprises must improve their product innovation capability. It is difficult to integrate the system modeling, simulation and collaborative process management in complex product development. A collaborative platform for complex product development based on multi-domain unified modeling and simulation is proposed in this paper. The architecture of the platform is firstly stated. The idea and realization of three key technologies, i.e. multi-domain modeling and simulation for complex product, knowledge management for product design and simulation, multi-domain collaborative mechanism, are emphasized. Finally, an industry case is given. The demonstration of the system shows that integration architecture is the effective infrastructure for multi-domain collaborative product development.

Product design knowledge management based on design structure matrix

To speed up the product design efficiency, product designers would like to utilize the past experience and know-how in assisting the design of new products or in the enhancement of existing one. What is needed is a systematic and structured way for product design knowledge capturing, organization, and reuse. Design structure matrix (DSM), a structured method which has advantages on representing and analysing interaction relations among system elements, is considered to be a suitable means to capture and manage the system-level design knowledge. The captured knowledge through DSM can improve understanding the design routes and design history by linking designed items to rationales, decisions and assumptions. Meanwhile, the captured knowledge through DSM could assist designers to predict changes on existing solutions, and to reuse the existing solutions in new projects. The main outcome of this paper is focused on how to capture and trace the design knowledge through single-domain DSM and multi-domain DSMs, respectively. Finally a DSM-based design knowledge management system is introduced, which can enable the efficient knowledge capturing, searching, and tracing in product design.

1.7.3 Conceptual Design of Building Automation System by Applying Systems Engineering Approach

AbstractAs the 21st century signifies an information‐oriented society, the computer integration takes place in all walks of human presence. Needs for computer and network‐integrated building present new challenges in building industry. After the first intelligent building appeared in USA in 1984, it gradually became an essential capability for the building industry requirement these days. Intelligent Building System(IBS) is very complex because there are many subsystems such as telecommunication(TC), office automation(OA), building automation(BA), construction environments, etc. During the planing phase of IBS development, therefore, systems engineering must be performed to analyze stakeholder's requirements to build an optimized system while minimizing trial‐and‐error expenses and risks. This paper presents a conceptual design of BAS by applying systems engineering methods. That is, we developed an IBS subsystem specification for building automation subsystem, which is a part of IBS, using the methodology of requirement analysis, functional analysis, synthesis, and verification where we used a computer‐aided systems engineering tool, RDD‐100, as an example s/w for system design efficiency and product design knowledge management.