Product data quality validation system for product development processes in high-tech industry
| Autor: | Seokbae Son, Kukjin Kim, Sangwook Na |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Product design specification
Engineering Product design business.industry Strategy and Management media_common.quotation_subject Management Science and Operations Research Product engineering Industrial and Manufacturing Engineering Manufacturing engineering Industrial design Data quality New product development Quality (business) Engineering design process business Simulation media_common |
| Zdroj: | International Journal of Production Research. 49:3751-3766 |
| ISSN: | 1366-588X 0020-7543 |
| DOI: | 10.1080/00207543.2010.486906 |
| Popis: | Among various product data, 3D CAD data plays a key role in current product design and manufacturing processes including industrial design, detail design, CAE, inspection, mould-making, production, and so on. If 3D CAD data has geometrical or topological errors by user mistakes or modelling software bugs and those errors are not cleaned by the data creator in an early stage, the data will be transferred to the downstream operators and they have to fix the errors before starting their own work. Because 3D data is quite complex, it is very difficult to recognise the data errors manually in a modelling system before a big problem is encountered which blocks the next operation. In this case, it generally causes time delay and high cost for data correction and the effect will be bigger when the process is close to the back-end. In this research, we develop a fully automated product data quality validation and management system to support the product development processes of high-tech products like televisions,... |
| Databáze: | OpenAIRE |
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