Step based product model data quality diagnosis for collaborative e-engineering

The movement toward concurrent and collaborative e-engineering drives the need for assuring the communicated product model data quality. A classification for model data quality errors has been developed by the Japan Automotive Manufacturers Association (JAMA), the Japan Auto Parts Industries Association (JAPIA), and the Strategic Automotive Product Data Standards Industry Group (SASIG). However, these criteria are described in natural language (Japanese and English), and a certain amount of ambiguity exists in the measurement methods of the product data quality. To solve this problem, the criteria should be described in formal language or programming language. In this paper, we propose a diagnosis method of product model data quality based on STEP technology using EXPRESS-X which is the mapping language between STEP model data. The certification data is described in XML and linked to the original product data. We also propose the certification data model of the product data. We show some examples to demonstrate the effectiveness of the proposed diagnostics method.