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Product Data Quality and Collaborative Engineering
May/June 2002 (vol. 22 no. 3)
pp. 32-42
Manuel Contero, Polytechnic University of Valencia, Spain
Pedro Company, University of Castell?n, Spain
Carlos Vila, University of Castell?n, Spain
Nuria Aleixos, University of Castell?n, Spain

In this article, the authors analyze the impact of product data quality in the implementation of collaborative engineering in an extended enterprise framework. They also analyze the product data model as a key element for the product development process. The different views of this model are placed according to the fields where they apply. The importance of product model quality in the current status of data exchange standards is highlighted, with particular attention to ISO 10303 (STEP) new developments. Current state-of-art on data quality models and product data quality recommendations such as VDA 4955/2 and SASIG PDQ are also revised. Finally, the authors present their own product data quality model. This comprises three levels: morphological, syntactic, and semantic. Hence, it provides a tool for a better understanding of product data quality, which helps find solutions that avoid the interoperability problem.

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Manuel Contero, Pedro Company, Carlos Vila, Nuria Aleixos, "Product Data Quality and Collaborative Engineering," IEEE Computer Graphics and Applications, vol. 22, no. 3, pp. 32-42, May-June 2002, doi:10.1109/MCG.2002.999786
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