Representing functionality and design intent in product models
SMA '93 Proceedings on the second ACM symposium on Solid modeling and applications
Building problem solvers
Functional features for design in mechanical engineering
Computers in Industry - Special issue: CARS & FOF '92: excerpts from the eighth international conference on CAD/CAM, robotics and factories of the future, Metz, France, August 17–19, 1992
The Unified Modeling Language user guide
The Unified Modeling Language user guide
Fixturing features selection in feature-based systems
Computers in Industry
A framework of web-based conceptual design
Computers in Industry - Advanced web technologies for industrial applications
Associative feature modeling for concurrent engineering integration
Computers in Industry
Integrated modeling with top-down approach in subsidiary industries
Computers in Industry
Collaborative feature-based design via operations with a fine-grain product database
Computers in Industry
A reference framework following a proactive approach for Product Lifecycle Management
Computers in Industry
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Product lifecycle stages are inter-related and mutually constraining. Due to the sequential nature of the product development processes, some constraints or conflicts may emerge in a later stage and require modifications to the decisions made in earlier stages. The iterations between stages are hence unavoidable and must be managed carefully to maintain the consistency, integrity and validity of product information models. Due to the inter- or intra-stage relations, a chain of changes is very likely to occur as the consequence of an initial change. Modeling and maintaining these relations are important in collaborative engineering to evolve the state of the whole product model in a consistent manner. This paper introduces a new method of modeling associative engineering relations in a unified feature modeling scheme and elaborates a change propagation algorithm for the information consistency control among multiple applications of product lifecycle stages. The algorithm is established on a JTMS-based dependency network. Two case studies are used to illustrate the proposed dependency network and change propagation algorithm.