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Configuration design is an important strategy for achieving rapid mass customization in product development. Constraint satisfaction programming (CSP) is known to provide a general tool for configuring a product (i.e., configuration design in this case). Product life cycle management (PLM) is an important strategy for management of products. Integration of these two strategies is a very promising concept towards an effective computer support for life cycle configuration design. This paper discusses the data modeling issues for an integrated PLM and CSP framework for configuration design. These issues, not well addressed in the general engineering design literature, include (1) inter-relations among design requirement, product structures, and design knowledge, and (2) the concept of structural and semi-structural data and their integration.

Data Modeling for an Integrated PLM and CSP Framework for Configuration Design