부산대학교 도서관

Product-quality monitoring systems conduct important roles in manufacturing process lines by monitoring the quality status of products and give useful feedback and control information to process operators. In the era of Industry 4.0, those systems are required to be improved in their functionalities by adapting system technologies related to smart factory such as big data processing, internet of things (IoT), and artificial intelligence (AI). Furthermore, the product-quality monitoring systems are required to have smart and intellectual functionalities in their behavioral properties such as self-recognizable, self-reconfigurable, and self-adaptable mechanism in their operational features for supporting ever-changing manufacturing process environments. In this paper, we propose a smart manufacturing systems engineering (SMSE) approach to designing smart product-quality monitoring systems (SmartPQMS) with its real application example in iron- and steel-manufacturing process line. The deliverables of this research work can contribute to provide a technical solution for well-designing other smart manufacturing systems in several industrial domains.