ONTOLOGIES OF PRODUCT DATA QUALITY MANAGEMENT

Abstract

While expanding of computer usage for Product Life-cycle information support, several challenges, caused by dependence of computer documents upon interpretation means, are arising. Product data quality (PDQ) challenge is discussed in this article. Absence of data quality defects is assumed as product data quality. Data quality defect, in turn, is existence of some computer product model features, impeding downstream handling of product model. Product data quality management is assumed as interleaved transactions for detection and healing of data quality defects. The principal tasks that facilitate improvement of product design documents' quality were outlined. Computer product data quality is considered as one of aspects of quality of product design documents represented in computer form. The following tasks have to be solved for data quality improvement: detect influence of data quality defects on downstream handling of computer documents, detect interrelationship of data quality defects, set sequence of product data quality transactions, detect product shape model deviation arisen due to model healing. The new integrated approach to product data quality issues is implemented. Free accessible materials and also results of R&D [1] and experience of multy-year exploitation and permanent improvement of APM Studio modules for quality check, healing and import of CAD models [2] were considered while outlining of principal tasks mentioned in this article.