Abstract
Nowadays, many manufacturing companies design, engineer, and produce their products through a globally distributed supply chain. In the automotive industry, globalization of the supply chain is expanding and becoming more complicated under increasing global competition and demand for reduction in production costs. Under such circumstances, automotive parts manufacturers are making efforts to implement smart manufacturing (SM) system that ensures the production of products with reasonable prices and high quality, while meeting the needs of various customers. To implement SM, a production line must be smart based on data from manufacturing sites through the application and convergence of technologies such as cyber-physical system(CPS) and digital twin. With the application of such technologies, it is possible to achieve faster and more accurate decision-making and more efficient utilization of manufacturing resources. In addition, a CPS-based integrated platform is needed to link and integrate data with the distributed manufacturing environment composed of heterogeneous facilities. By utilizing this, it is possible to implement and operate a production system that can flexibly respond to various external changes. In this paper, we propose a methodology for design, implementation and application of CPS platform-based digital twin that meets global standards for SM of global automotive parts manufacturers.
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More From: Korean Journal of Computational Design and Engineering
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