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Information Models for Product Representation: Core and Assembly Models

Published

Author(s)

Sudarsan Rachuri, Mehmet M. Baysal, Utpal Roy, Sebti Foufou, Conrad Bock, Steven J. Fenves, Eswaran Subrahmanian, Kevin W. Lyons, Ram D. Sriram

Abstract

This paper presents a revised and unified view of the NIST Core Product Model (CPM) [1; 2] and the NIST Open Assembly Model (OAM) [3]. The CPM provides a base-level product model that is not tied to any vendor software; open; non-proprietary; simple; generic; expandable; independent of any one product development process; and capable of capturing the engineering context that is shared throughout the product lifecycle. The OAM represents the function, form, and behavior of assemblies and defines both a system level conceptual model and the associated hierarchical relationships. The model provides a way for supporting tolerance representation and propagation, representation of kinematics, and engineering analysis at the system level. The objectives of the paper are: (1) to paper on the revisions and extensions of the two models since their initial documentation; (2) to link the two models more explicitly than was done before; (3) to present the revised CPM/OAM as the basis, or organizing principle, of a product information-modeling framework that can support the full range of Product Lifecycle Management (PLM) information needs about a product. A case study illustrates the use of the CPM and OAM models to capture information during various design phases.
Citation
International Journal of Product Development
Volume
2
Issue
3

Keywords

artifact, behavior, Core Product Model, data modeling, entity-relationship data model, form, function, information modeling, next-generation product development tools, Product modeling

Citation

Rachuri, S. , Baysal, M. , Roy, U. , Foufou, S. , Bock, C. , Fenves, S. , Subrahmanian, E. , Lyons, K. and Sriram, R. (2005), Information Models for Product Representation: Core and Assembly Models, International Journal of Product Development, [online], https://doi.org/10.1504/IJPD.2005.007248 (Accessed October 6, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created February 28, 2005, Updated October 12, 2021