Product data quality validation system for product development processes in high-tech industry

A survey on 3D CAD model quality assurance and testing tools

“…Product data refers to all data involved in the design and manufacturing of a product [7]. Product Data Quality (PDQ) is a measurement of the accuracy and appropriateness of these data combined with the timeliness with which they are provided to the stakeholders who may need them [1,8].…”

“…Resolving model integrity problems requires model repair/healing, which entails making slight adjustments to the geometry to remove anomalies [7,8,23]. Healing and repairing involves processing a model with undesirable artifacts and creating a new version that is free from these errors [24].…”

“…Best practices are checked by MQT tools but also imposed and tuned by the OEM, whose current goal involves improving interoperability by abandoning explicit representations and adopting STEP AP 242. Validation rules require setup, and although quantitative metrics for shape errors already exist, they are context dependent and are governed by computational threshold values that are different for each MQT tool [8]. Better quantitative metrics are still required.…”

Research on the Validation Method of Product Data Quality

“…Therefore, it is particularly important to carry out the related researches of product data quality assurance aspects. Son, et al [2] developed a fully automated product 3D data quality validation and management system to support the product development processes of high-tech products like televisions, camcorders, mobile telephones, etc. Wang, et al [3] proposed a rule-based data checking method of digital definition of mechanical products on the platform of NX software.…”