Abstract
The modern manufacturing industry ought to solve various problems amid increasingly fierce competition. Particularly, the supply chain network of the manufacturing industry is expanding globally. Therefore, there is an increasing necessity for smart manufacturing. Smart manufacturing is an integrated manufacturing system that applies information and communication technologies to manufacturing, rendering the entire manufacturing process smart, for obtaining real-time responses to internal and external variations in factories, supply networks, and customer requirements. Although there are several technologies that promote smart manufacturing, the cyber-physical system (CPS), introduced into the manufacturing environment is the primary technology. Global manufacturing enterprises have limitations in that it is difficult to collect information generated at distributed manufacturing sites with independent applications, and it is impossible to make quick decisions. To build smart manufacturing at such global manufacturing scales, a platform that integrates information and provides various applications in a distributed environment using the CPS ought to be built. This paper proposes an integrated platform for smart manufacturing implementation. The primary components and functions of the platform are defined. Finally, the effectiveness of the proposed platform is verified through a case study.
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Acknowledgement
This research was financially supported by the MOTIE and KIAT through the International Cooperative R&D program [P0009839] and supported under the Smart Manufacturing Innovation R&D program funded by the Korea Ministry of SMEs and Startups in 2022 [RS-2022–00140261].
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Yang, J. et al. (2022). Cyber-Physical System Platform and Applications for Smart Manufacturing in Global Automotive Industry. In: Kim, D.Y., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action. APMS 2022. IFIP Advances in Information and Communication Technology, vol 664. Springer, Cham. https://doi.org/10.1007/978-3-031-16411-8_63
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