posted on 2013-08-08, 13:31authored byA. George Gunendran
Integration of product life cycle activities in design and manufacture has been pursued
and advanced for over 20 years. A commonly accepted computational approach to
integrating product design and manufacture software is to define a neutral representation
of product related information for the software applications and capture them in product
models. Product models provide a source and repository for all product related
information during the product development activities. However, in a team-based
environment, the information of product representation needs to be viewed from multiple
perspectives. This is because each team member is likely to be interested in different
aspects of the information. This leads to the need for multiple viewpoint information
representations of the product to be integrated with each other to support product
development activities. While much work has been done into the concept of product
modelling, there is a need to extend this approach to support information integration
between multiple viewpoint product representations by defining techniques to capture the
knowledge of relationships of such multiple viewpoint information representations.
The research reported in this thesis identifies a novel method for integrating multiple
viewpoint representations of products. An ontology is defined with two separate but
related layers to capture multiple viewpoint product representations and the knowledge of
relationships between such multiple viewpoints separately. This ontology contains:
product model as information layer; knowledge layer to capture integration knowledge;
and knowledge links to facilitate the communication of both layers. The work uses
injection moulded product design and manufacture as an example to explore and
demonstrate the research idea.
An experimental two-layered ontology has been implemented using an object-oriented
database and Visual c++ programming language. Experiments have been performed to
demonstrate how the two-layered ontology can support the integration of multiple
viewpoint information. This research contributes to the understanding of the definition of
information and knowledge models and methods of integration to support multiple
viewpoint information of products.
History
School
Mechanical, Electrical and Manufacturing Engineering